blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
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value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
788870a4181be993f9ead321217801caec97fcf7 | [
"try:\n return Holding.objects.get(pk=key)\nexcept Holding.DoesNotExist:\n raise Http404",
"holding = self.get_object(pk)\nholding_serializer = HoldingSerializer(holding)\nh_data = holding_serializer.data\nh_data['price'] = decimal.Decimal(h_data['price'])\nh_data['shares'] = decimal.Decimal(h_data['shares'... | <|body_start_0|>
try:
return Holding.objects.get(pk=key)
except Holding.DoesNotExist:
raise Http404
<|end_body_0|>
<|body_start_1|>
holding = self.get_object(pk)
holding_serializer = HoldingSerializer(holding)
h_data = holding_serializer.data
h_da... | Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view | HoldingDetail | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HoldingDetail:
"""Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view"""
def get_object(self, key):
"""Query for a specific entry from the Holding table Arguments: key (int): The primary key for the data... | stack_v2_sparse_classes_75kplus_train_069400 | 12,376 | no_license | [
{
"docstring": "Query for a specific entry from the Holding table Arguments: key (int): The primary key for the database record Returns: Holding: An instance of the Holding model class Raises: Http404: If the specified database record is not found",
"name": "get_object",
"signature": "def get_object(sel... | 4 | stack_v2_sparse_classes_30k_train_019443 | Implement the Python class `HoldingDetail` described below.
Class description:
Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view
Method signatures and docstrings:
- def get_object(self, key): Query for a specific entry from the Holding... | Implement the Python class `HoldingDetail` described below.
Class description:
Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view
Method signatures and docstrings:
- def get_object(self, key): Query for a specific entry from the Holding... | d30666ff678e38513d83245ab6dfa8657baa09c5 | <|skeleton|>
class HoldingDetail:
"""Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view"""
def get_object(self, key):
"""Query for a specific entry from the Holding table Arguments: key (int): The primary key for the data... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HoldingDetail:
"""Get, update, or delete an individual holding Attributes: permission_classes (list): A list of the accepted permissions for this view"""
def get_object(self, key):
"""Query for a specific entry from the Holding table Arguments: key (int): The primary key for the database record R... | the_stack_v2_python_sparse | fiscal/planning_tool/views.py | CIS-Projects-in-CS-S21/pro-fiscal | train | 0 |
ff9d362034fd385df9997f0b2742eecb56a2bc0a | [
"for row in response.css('.row-fluid.text-left'):\n for plant in row.css('.fixsearchsmall'):\n url = plant.css('a::attr(href)').extract_first()\n yield response.follow(url, callback=self.parse_plant_details)",
"title = response.css('.page-title h1 .plant-name')\nfeatures = response.css('.fieldgro... | <|body_start_0|>
for row in response.css('.row-fluid.text-left'):
for plant in row.css('.fixsearchsmall'):
url = plant.css('a::attr(href)').extract_first()
yield response.follow(url, callback=self.parse_plant_details)
<|end_body_0|>
<|body_start_1|>
title = r... | PerennialsComPlants | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PerennialsComPlants:
def parse_grid(self, response):
"""Parse cols and rows for grid of results."""
<|body_0|>
def parse_plant_details(self, response):
"""Parse cols and rows for grid of results."""
<|body_1|>
def pagination(self, response):
"""E... | stack_v2_sparse_classes_75kplus_train_069401 | 3,956 | permissive | [
{
"docstring": "Parse cols and rows for grid of results.",
"name": "parse_grid",
"signature": "def parse_grid(self, response)"
},
{
"docstring": "Parse cols and rows for grid of results.",
"name": "parse_plant_details",
"signature": "def parse_plant_details(self, response)"
},
{
... | 4 | stack_v2_sparse_classes_30k_train_006202 | Implement the Python class `PerennialsComPlants` described below.
Class description:
Implement the PerennialsComPlants class.
Method signatures and docstrings:
- def parse_grid(self, response): Parse cols and rows for grid of results.
- def parse_plant_details(self, response): Parse cols and rows for grid of results.... | Implement the Python class `PerennialsComPlants` described below.
Class description:
Implement the PerennialsComPlants class.
Method signatures and docstrings:
- def parse_grid(self, response): Parse cols and rows for grid of results.
- def parse_plant_details(self, response): Parse cols and rows for grid of results.... | 8515fcc4c86ef0a96f34278d90419e5fad2b48d3 | <|skeleton|>
class PerennialsComPlants:
def parse_grid(self, response):
"""Parse cols and rows for grid of results."""
<|body_0|>
def parse_plant_details(self, response):
"""Parse cols and rows for grid of results."""
<|body_1|>
def pagination(self, response):
"""E... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PerennialsComPlants:
def parse_grid(self, response):
"""Parse cols and rows for grid of results."""
for row in response.css('.row-fluid.text-left'):
for plant in row.css('.fixsearchsmall'):
url = plant.css('a::attr(href)').extract_first()
yield respo... | the_stack_v2_python_sparse | plantstuff/scraping/scrapers/spiders/perennialscom.py | christabor/plantstuff | train | 8 | |
e52651a63d9b7e3346b6064bb1562f460a50e3d5 | [
"self.leftheap = []\nself.rightheap = []\nself.left_size = 0\nself.right_size = 0",
"if not self.rightheap:\n heappush(self.leftheap, -num)\n self.left_size += 1\nelif num >= self.rightheap[0]:\n heappush(self.rightheap, num)\n self.right_size += 1\nelse:\n heappush(self.leftheap, -num)\n self.l... | <|body_start_0|>
self.leftheap = []
self.rightheap = []
self.left_size = 0
self.right_size = 0
<|end_body_0|>
<|body_start_1|>
if not self.rightheap:
heappush(self.leftheap, -num)
self.left_size += 1
elif num >= self.rightheap[0]:
heap... | MedianFinder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_75kplus_train_069402 | 1,679 | no_license | [
{
"docstring": "initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": ":type num: int :rtype: void",
"name": "addNum",
"signature": "def addNum(self, num)"
},
{
"docstring": ":rtype: float",
"name": "findMedian",
"s... | 3 | stack_v2_sparse_classes_30k_train_037767 | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float | Implement the Python class `MedianFinder` described below.
Class description:
Implement the MedianFinder class.
Method signatures and docstrings:
- def __init__(self): initialize your data structure here.
- def addNum(self, num): :type num: int :rtype: void
- def findMedian(self): :rtype: float
<|skeleton|>
class Me... | 14dcf9029486283b5e4685d95ebfe9979ade03c3 | <|skeleton|>
class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
<|body_0|>
def addNum(self, num):
""":type num: int :rtype: void"""
<|body_1|>
def findMedian(self):
""":rtype: float"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MedianFinder:
def __init__(self):
"""initialize your data structure here."""
self.leftheap = []
self.rightheap = []
self.left_size = 0
self.right_size = 0
def addNum(self, num):
""":type num: int :rtype: void"""
if not self.rightheap:
he... | the_stack_v2_python_sparse | 295-FindMedianfromDataStream.py | dq-code/leetcode | train | 0 | |
86b4d576315d9603c2b98d08eb40655ff2e2695b | [
"if self.default:\n if not self.value:\n self.value = self.default\nelif not self.default and self.required:\n raise ValidationError('Required.')\nif type(self.value) is dict:\n try:\n json.dumps(self.value)\n except TypeError:\n raise ValidationError('Value must be a valid JSON dic... | <|body_start_0|>
if self.default:
if not self.value:
self.value = self.default
elif not self.default and self.required:
raise ValidationError('Required.')
if type(self.value) is dict:
try:
json.dumps(self.value)
exce... | Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string that may be provided as a default. **Example:** :: from tethys_sdk.app_settings imp... | JSONCustomSetting | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JSONCustomSetting:
"""Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string that may be provided as a default. **E... | stack_v2_sparse_classes_75kplus_train_069403 | 45,827 | permissive | [
{
"docstring": "Validate prior to saving changes.",
"name": "clean",
"signature": "def clean(self)"
},
{
"docstring": "Get the value",
"name": "get_value",
"signature": "def get_value(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048745 | Implement the Python class `JSONCustomSetting` described below.
Class description:
Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string... | Implement the Python class `JSONCustomSetting` described below.
Class description:
Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string... | e9365fa55ec25d7658a75ca7fb0632013374d876 | <|skeleton|>
class JSONCustomSetting:
"""Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string that may be provided as a default. **E... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JSONCustomSetting:
"""Used to define a Custom Json Setting. Attributes: name(str): Unique name used to identify the setting. description(str): Short description of the setting. required(bool): A value will be required if True. default(str): Value as a string that may be provided as a default. **Example:** :: ... | the_stack_v2_python_sparse | tethys_apps/models.py | tethysplatform/tethys | train | 95 |
6cd695182ddb461e393305aa0679fd6cd0cdd9f9 | [
"self.workflow = kwargs.pop('workflow', None)\nsuper().__init__(*args, **kwargs)\nself.fields['name'].label = _('View name')\nself.fields['description_text'].label = _('View Description')\nself.fields['columns'].label = _('Columns to show')\nself.fields['columns'].queryset = self.workflow.columns.all()",
"form_da... | <|body_start_0|>
self.workflow = kwargs.pop('workflow', None)
super().__init__(*args, **kwargs)
self.fields['name'].label = _('View name')
self.fields['description_text'].label = _('View Description')
self.fields['columns'].label = _('Columns to show')
self.fields['column... | Form to add a view. | ViewAddForm | [
"LGPL-2.0-or-later",
"BSD-3-Clause",
"MIT",
"Apache-2.0",
"LGPL-2.1-only",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ViewAddForm:
"""Form to add a view."""
def __init__(self, *args, **kwargs):
"""Initialize the object, store the workflow and rename fields."""
<|body_0|>
def clean(self) -> Dict:
"""Check if three properties in the form. 1) Number of columns is not empty 2) There... | stack_v2_sparse_classes_75kplus_train_069404 | 2,024 | permissive | [
{
"docstring": "Initialize the object, store the workflow and rename fields.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Check if three properties in the form. 1) Number of columns is not empty 2) There is at least one key column 3) There is no vie... | 2 | null | Implement the Python class `ViewAddForm` described below.
Class description:
Form to add a view.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the object, store the workflow and rename fields.
- def clean(self) -> Dict: Check if three properties in the form. 1) Number of columns ... | Implement the Python class `ViewAddForm` described below.
Class description:
Form to add a view.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize the object, store the workflow and rename fields.
- def clean(self) -> Dict: Check if three properties in the form. 1) Number of columns ... | c432745dfff932cbe7397100422d49df78f0a882 | <|skeleton|>
class ViewAddForm:
"""Form to add a view."""
def __init__(self, *args, **kwargs):
"""Initialize the object, store the workflow and rename fields."""
<|body_0|>
def clean(self) -> Dict:
"""Check if three properties in the form. 1) Number of columns is not empty 2) There... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ViewAddForm:
"""Form to add a view."""
def __init__(self, *args, **kwargs):
"""Initialize the object, store the workflow and rename fields."""
self.workflow = kwargs.pop('workflow', None)
super().__init__(*args, **kwargs)
self.fields['name'].label = _('View name')
... | the_stack_v2_python_sparse | ontask/table/forms.py | abelardopardo/ontask_b | train | 43 |
e48d4e52dc104d9ce8cd3e3b72a0896d88d8f4d7 | [
"time_elements_tuple = self._GetValueFromStructure(structure, 'date_time')\n_, month, day_of_month, hours, minutes, seconds, year = time_elements_tuple\nmonth = timelib.MONTH_DICT.get(month.lower(), 0)\nreturn (year, month, day_of_month, hours, minutes, seconds)",
"time_elements_tuple = self._GetTimeElementsTuple... | <|body_start_0|>
time_elements_tuple = self._GetValueFromStructure(structure, 'date_time')
_, month, day_of_month, hours, minutes, seconds, year = time_elements_tuple
month = timelib.MONTH_DICT.get(month.lower(), 0)
return (year, month, day_of_month, hours, minutes, seconds)
<|end_body_0... | Parses a vsftpd log. | VsftpdLogParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VsftpdLogParser:
"""Parses a vsftpd log."""
def _GetTimeElementsTuple(self, structure):
"""Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of a vsftp log file. Returns: tuple: containing: year (int)... | stack_v2_sparse_classes_75kplus_train_069405 | 5,343 | permissive | [
{
"docstring": "Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of a vsftp log file. Returns: tuple: containing: year (int): year. month (int): month, where 1 represents January. day_of_month (int): day of month, where 1 is th... | 4 | stack_v2_sparse_classes_30k_train_029724 | Implement the Python class `VsftpdLogParser` described below.
Class description:
Parses a vsftpd log.
Method signatures and docstrings:
- def _GetTimeElementsTuple(self, structure): Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of... | Implement the Python class `VsftpdLogParser` described below.
Class description:
Parses a vsftpd log.
Method signatures and docstrings:
- def _GetTimeElementsTuple(self, structure): Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of... | c69b2952b608cfce47ff8fd0d1409d856be35cb1 | <|skeleton|>
class VsftpdLogParser:
"""Parses a vsftpd log."""
def _GetTimeElementsTuple(self, structure):
"""Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of a vsftp log file. Returns: tuple: containing: year (int)... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VsftpdLogParser:
"""Parses a vsftpd log."""
def _GetTimeElementsTuple(self, structure):
"""Retrieves a time elements tuple from the structure. Args: structure (pyparsing.ParseResults): structure of tokens derived from a line of a vsftp log file. Returns: tuple: containing: year (int): year. month... | the_stack_v2_python_sparse | plaso/parsers/vsftpd.py | cyb3rfox/plaso | train | 3 |
7f0b602394ac108148dbd8f3505bf5edfd82ed79 | [
"driver = self.driver\ndriver.get(self.base_url)\nhomepage = HomePage(self.driver)\nhomepage.click_oa()\nhomepage.sleep(0.5)\nhomepage.click_itfw()\nhomepage.click_buglist()\nhomepage.sleep(0.1)\nhomepage.click_bug()\nhomepage.switch_frame(driver.find_element_by_xpath(\"//iframe[@src='http://gc.eascs.com/bug/bugman... | <|body_start_0|>
driver = self.driver
driver.get(self.base_url)
homepage = HomePage(self.driver)
homepage.click_oa()
homepage.sleep(0.5)
homepage.click_itfw()
homepage.click_buglist()
homepage.sleep(0.1)
homepage.click_bug()
homepage.switch... | BUG-LIST | Start | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Start:
"""BUG-LIST"""
def test1_bug(self):
"""bug"""
<|body_0|>
def test2_bug(self):
"""版本"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
driver = self.driver
driver.get(self.base_url)
homepage = HomePage(self.driver)
ho... | stack_v2_sparse_classes_75kplus_train_069406 | 2,280 | no_license | [
{
"docstring": "bug",
"name": "test1_bug",
"signature": "def test1_bug(self)"
},
{
"docstring": "版本",
"name": "test2_bug",
"signature": "def test2_bug(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034079 | Implement the Python class `Start` described below.
Class description:
BUG-LIST
Method signatures and docstrings:
- def test1_bug(self): bug
- def test2_bug(self): 版本 | Implement the Python class `Start` described below.
Class description:
BUG-LIST
Method signatures and docstrings:
- def test1_bug(self): bug
- def test2_bug(self): 版本
<|skeleton|>
class Start:
"""BUG-LIST"""
def test1_bug(self):
"""bug"""
<|body_0|>
def test2_bug(self):
"""版本"""... | a90695147681163d45d4951f6a921eda816500bb | <|skeleton|>
class Start:
"""BUG-LIST"""
def test1_bug(self):
"""bug"""
<|body_0|>
def test2_bug(self):
"""版本"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Start:
"""BUG-LIST"""
def test1_bug(self):
"""bug"""
driver = self.driver
driver.get(self.base_url)
homepage = HomePage(self.driver)
homepage.click_oa()
homepage.sleep(0.5)
homepage.click_itfw()
homepage.click_buglist()
homepage.slee... | the_stack_v2_python_sparse | oa_test_case/oa_buglist.py | shengli520/yyt | train | 0 |
8f0dc3d2b9fe388325fe3670292bead9408a7c4e | [
"super(CDF, self).__init__(**kwargs)\nself.num_keypoints = num_keypoints\nself.units = units\nself.activation = activation\nself.reduction = reduction\nif input_scaling_init is None:\n self.input_scaling_init = float(num_keypoints)\nelse:\n self.input_scaling_init = float(input_scaling_init)\nself.input_scali... | <|body_start_0|>
super(CDF, self).__init__(**kwargs)
self.num_keypoints = num_keypoints
self.units = units
self.activation = activation
self.reduction = reduction
if input_scaling_init is None:
self.input_scaling_init = float(num_keypoints)
else:
... | Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the range [0, 1]. If multi dimensional input is provided, each output will... | CDF | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CDF:
"""Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the range [0, 1]. If multi dimensional inpu... | stack_v2_sparse_classes_75kplus_train_069407 | 11,547 | permissive | [
{
"docstring": "Initializes an instance of `Lattice`. Args: num_keypoints: The number of keypoints (i.e. step functions) to use for each of `units` CDF functions. units: The output dimension of the layer. activation: The activation function to use for the step functions. One of: - `'relu6'`: The `tf.nn.relu6` f... | 4 | stack_v2_sparse_classes_30k_train_022509 | Implement the Python class `CDF` described below.
Class description:
Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the ... | Implement the Python class `CDF` described below.
Class description:
Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the ... | 01215c0d057cdc73d4dd98301637c79b2a6f120f | <|skeleton|>
class CDF:
"""Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the range [0, 1]. If multi dimensional inpu... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CDF:
"""Cumulative Distribution Function (CDF) layer. Layer takes input of shape `(batch_size, input_dim)` or `(batch_size, 1)` and transforms it using `input_dim` number of cumulative distribution functions, which are naturally monotonic and bounded to the range [0, 1]. If multi dimensional input is provided... | the_stack_v2_python_sparse | tensorflow_lattice/python/cdf_layer.py | tensorflow/lattice | train | 540 |
1bcbbd4338be02e1676dbe9e7fe071e862e3b20a | [
"if model._meta.app_label in self.route_app_labels:\n return 'vendor_os'\nreturn None",
"if model._meta.app_label in self.route_app_labels:\n return 'vendor_os'\nreturn None",
"if obj1._meta.app_label in self.route_app_labels or obj2._meta.app_label in self.route_app_labels:\n return True\nreturn None"... | <|body_start_0|>
if model._meta.app_label in self.route_app_labels:
return 'vendor_os'
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label in self.route_app_labels:
return 'vendor_os'
return None
<|end_body_1|>
<|body_start_2|>
if obj1._... | A router to control all database operations on models in the auth and contenttypes applications. | AuthRouter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthRouter:
"""A router to control all database operations on models in the auth and contenttypes applications."""
def db_for_read(self, model, **hints):
"""Attempts to read auth and contenttypes models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):... | stack_v2_sparse_classes_75kplus_train_069408 | 4,107 | no_license | [
{
"docstring": "Attempts to read auth and contenttypes models go to auth_db.",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Attempts to write auth and contenttypes models go to auth_db.",
"name": "db_for_write",
"signature": "def db_for_w... | 4 | stack_v2_sparse_classes_30k_train_040172 | Implement the Python class `AuthRouter` described below.
Class description:
A router to control all database operations on models in the auth and contenttypes applications.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth and contenttypes models go to auth_db.
- def db_... | Implement the Python class `AuthRouter` described below.
Class description:
A router to control all database operations on models in the auth and contenttypes applications.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth and contenttypes models go to auth_db.
- def db_... | 667bf1e922c54f3406016f13c26e62c9f20ec1c9 | <|skeleton|>
class AuthRouter:
"""A router to control all database operations on models in the auth and contenttypes applications."""
def db_for_read(self, model, **hints):
"""Attempts to read auth and contenttypes models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuthRouter:
"""A router to control all database operations on models in the auth and contenttypes applications."""
def db_for_read(self, model, **hints):
"""Attempts to read auth and contenttypes models go to auth_db."""
if model._meta.app_label in self.route_app_labels:
retur... | the_stack_v2_python_sparse | routers/db_routers.py | mwicwiri-bonface/varal-p-6 | train | 0 |
904ef3d679591c460965ec30cfe76dcc3a7a08fa | [
"super().__init__()\nself.batch_size = batch_size\nself.decoding_units = decoding_units\nself.embedding = tf.keras.layers.Embedding(vocab_size, embedding_dimension)\nif gru:\n self.layer = tf.keras.layers.GRU(self.decoding_units, return_sequences=True, return_state=True, recurrent_initializer='glorot_uniform')\n... | <|body_start_0|>
super().__init__()
self.batch_size = batch_size
self.decoding_units = decoding_units
self.embedding = tf.keras.layers.Embedding(vocab_size, embedding_dimension)
if gru:
self.layer = tf.keras.layers.GRU(self.decoding_units, return_sequences=True, retur... | Decoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True):
"""decoder for attention model"""
<|body_0|>
def call(self, x, hidden, enc_output):
"""given vector, hidden, and encoding, return new vector, state, and weights"... | stack_v2_sparse_classes_75kplus_train_069409 | 2,408 | permissive | [
{
"docstring": "decoder for attention model",
"name": "__init__",
"signature": "def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True)"
},
{
"docstring": "given vector, hidden, and encoding, return new vector, state, and weights",
"name": "call",
... | 2 | stack_v2_sparse_classes_30k_train_017295 | Implement the Python class `Decoder` described below.
Class description:
Implement the Decoder class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True): decoder for attention model
- def call(self, x, hidden, enc_output): given vector, ... | Implement the Python class `Decoder` described below.
Class description:
Implement the Decoder class.
Method signatures and docstrings:
- def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True): decoder for attention model
- def call(self, x, hidden, enc_output): given vector, ... | d1d4d485d1fac8743cdbbc2996792db249dcf389 | <|skeleton|>
class Decoder:
def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True):
"""decoder for attention model"""
<|body_0|>
def call(self, x, hidden, enc_output):
"""given vector, hidden, and encoding, return new vector, state, and weights"... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Decoder:
def __init__(self, vocab_size, embedding_dimension, decoding_units, batch_size, gru: bool=True):
"""decoder for attention model"""
super().__init__()
self.batch_size = batch_size
self.decoding_units = decoding_units
self.embedding = tf.keras.layers.Embedding(vo... | the_stack_v2_python_sparse | assignment5/code/src/decoder.py | jschmidtnj/cs584 | train | 0 | |
4bd06b7d927fab566904952819d50a67f8116483 | [
"self.data_path = os.path.dirname(os.path.dirname(__file__)) + '/testData/data.xls'\nself.workbook = xlrd.open_workbook(self.data_path)\nself.worksheet = self.workbook.sheet_by_index(0)\nself.num = self.worksheet.nrows\nself.data_list = []",
"key = self.worksheet.row_values(0)\nlogger.info(f'获取字典key成功，为{key}')\nf... | <|body_start_0|>
self.data_path = os.path.dirname(os.path.dirname(__file__)) + '/testData/data.xls'
self.workbook = xlrd.open_workbook(self.data_path)
self.worksheet = self.workbook.sheet_by_index(0)
self.num = self.worksheet.nrows
self.data_list = []
<|end_body_0|>
<|body_start... | ReadExcel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReadExcel:
def __init__(self):
"""定义基础属性"""
<|body_0|>
def readexcel(self):
"""处理测试数据"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.data_path = os.path.dirname(os.path.dirname(__file__)) + '/testData/data.xls'
self.workbook = xlrd.ope... | stack_v2_sparse_classes_75kplus_train_069410 | 1,738 | no_license | [
{
"docstring": "定义基础属性",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "处理测试数据",
"name": "readexcel",
"signature": "def readexcel(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_039856 | Implement the Python class `ReadExcel` described below.
Class description:
Implement the ReadExcel class.
Method signatures and docstrings:
- def __init__(self): 定义基础属性
- def readexcel(self): 处理测试数据 | Implement the Python class `ReadExcel` described below.
Class description:
Implement the ReadExcel class.
Method signatures and docstrings:
- def __init__(self): 定义基础属性
- def readexcel(self): 处理测试数据
<|skeleton|>
class ReadExcel:
def __init__(self):
"""定义基础属性"""
<|body_0|>
def readexcel(self... | 17df174f8988a3b660e7220ba90347b806e92ea7 | <|skeleton|>
class ReadExcel:
def __init__(self):
"""定义基础属性"""
<|body_0|>
def readexcel(self):
"""处理测试数据"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReadExcel:
def __init__(self):
"""定义基础属性"""
self.data_path = os.path.dirname(os.path.dirname(__file__)) + '/testData/data.xls'
self.workbook = xlrd.open_workbook(self.data_path)
self.worksheet = self.workbook.sheet_by_index(0)
self.num = self.worksheet.nrows
sel... | the_stack_v2_python_sparse | Interface_test/common/readExcel.py | kai-ally/TestStudy | train | 0 | |
bfb778affab7068402e6a065a7b89c81f40365c2 | [
"service = code_clinic.startup()\nhome = os.path.expanduser('~')\nusername, email, name = code_clinic.get_credentials(home)\ntestdate = '01/01/01'\nwith patch('sys.stdin', StringIO(f'{testdate}\\n')):\n orig_stdout = sys.stdout\n new_string = StringIO()\n sys.stdout = new_string\n create.create(service,... | <|body_start_0|>
service = code_clinic.startup()
home = os.path.expanduser('~')
username, email, name = code_clinic.get_credentials(home)
testdate = '01/01/01'
with patch('sys.stdin', StringIO(f'{testdate}\n')):
orig_stdout = sys.stdout
new_string = String... | TestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestCase:
def test_create_wrong_date(self):
"""Test Create function if the date is older than now"""
<|body_0|>
def test_create_y(self):
"""Test Create function for confirming the creation of an event for y"""
<|body_1|>
def test_create_n(self):
... | stack_v2_sparse_classes_75kplus_train_069411 | 3,063 | no_license | [
{
"docstring": "Test Create function if the date is older than now",
"name": "test_create_wrong_date",
"signature": "def test_create_wrong_date(self)"
},
{
"docstring": "Test Create function for confirming the creation of an event for y",
"name": "test_create_y",
"signature": "def test_c... | 3 | stack_v2_sparse_classes_30k_test_002225 | Implement the Python class `TestCase` described below.
Class description:
Implement the TestCase class.
Method signatures and docstrings:
- def test_create_wrong_date(self): Test Create function if the date is older than now
- def test_create_y(self): Test Create function for confirming the creation of an event for y... | Implement the Python class `TestCase` described below.
Class description:
Implement the TestCase class.
Method signatures and docstrings:
- def test_create_wrong_date(self): Test Create function if the date is older than now
- def test_create_y(self): Test Create function for confirming the creation of an event for y... | c28f8dea37f0053502473f577a067413c6bb2fd4 | <|skeleton|>
class TestCase:
def test_create_wrong_date(self):
"""Test Create function if the date is older than now"""
<|body_0|>
def test_create_y(self):
"""Test Create function for confirming the creation of an event for y"""
<|body_1|>
def test_create_n(self):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestCase:
def test_create_wrong_date(self):
"""Test Create function if the date is older than now"""
service = code_clinic.startup()
home = os.path.expanduser('~')
username, email, name = code_clinic.get_credentials(home)
testdate = '01/01/01'
with patch('sys.st... | the_stack_v2_python_sparse | test_create.py | Kalesmat/gp1_code_clinic | train | 0 | |
63e373cb477237a43d2930dedf73be59198b2582 | [
"if self.cleaned_data['sync_frequency'] < 60:\n raise forms.ValidationError(_('Minimum allowed value is 60s'))\nreturn self.cleaned_data['sync_frequency']",
"super(UserSettings, self).save(*args, **kwargs)\nif not self.cleaned_data['enable_carddav_sync']:\n return\nabook = self.user.addressbook_set.first()\... | <|body_start_0|>
if self.cleaned_data['sync_frequency'] < 60:
raise forms.ValidationError(_('Minimum allowed value is 60s'))
return self.cleaned_data['sync_frequency']
<|end_body_0|>
<|body_start_1|>
super(UserSettings, self).save(*args, **kwargs)
if not self.cleaned_data['e... | User settings. | UserSettings | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserSettings:
"""User settings."""
def clean_sync_frequency(self):
"""Make sure frequency is a positive integer."""
<|body_0|>
def save(self, *args, **kwargs):
"""Create remote cal if necessary."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if... | stack_v2_sparse_classes_75kplus_train_069412 | 2,028 | permissive | [
{
"docstring": "Make sure frequency is a positive integer.",
"name": "clean_sync_frequency",
"signature": "def clean_sync_frequency(self)"
},
{
"docstring": "Create remote cal if necessary.",
"name": "save",
"signature": "def save(self, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000554 | Implement the Python class `UserSettings` described below.
Class description:
User settings.
Method signatures and docstrings:
- def clean_sync_frequency(self): Make sure frequency is a positive integer.
- def save(self, *args, **kwargs): Create remote cal if necessary. | Implement the Python class `UserSettings` described below.
Class description:
User settings.
Method signatures and docstrings:
- def clean_sync_frequency(self): Make sure frequency is a positive integer.
- def save(self, *args, **kwargs): Create remote cal if necessary.
<|skeleton|>
class UserSettings:
"""User s... | c26b893819288f3e718a46143c9aea9c9cad76e0 | <|skeleton|>
class UserSettings:
"""User settings."""
def clean_sync_frequency(self):
"""Make sure frequency is a positive integer."""
<|body_0|>
def save(self, *args, **kwargs):
"""Create remote cal if necessary."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserSettings:
"""User settings."""
def clean_sync_frequency(self):
"""Make sure frequency is a positive integer."""
if self.cleaned_data['sync_frequency'] < 60:
raise forms.ValidationError(_('Minimum allowed value is 60s'))
return self.cleaned_data['sync_frequency']
... | the_stack_v2_python_sparse | modoboa_contacts/forms.py | modoboa/modoboa-contacts | train | 17 |
301fc3fda4326f60d447694cc9dbd65544c6dad6 | [
"if isinstance(key, int):\n return FlowIDStatus(key)\nif key not in FlowIDStatus._member_map_:\n return extend_enum(FlowIDStatus, key, default)\nreturn FlowIDStatus[key]",
"if not (isinstance(value, int) and 0 <= value <= 255):\n raise ValueError('%r is not a valid %s' % (value, cls.__name__))\nif 1 <= v... | <|body_start_0|>
if isinstance(key, int):
return FlowIDStatus(key)
if key not in FlowIDStatus._member_map_:
return extend_enum(FlowIDStatus, key, default)
return FlowIDStatus[key]
<|end_body_0|>
<|body_start_1|>
if not (isinstance(value, int) and 0 <= value <= 25... | [FlowIDStatus] Flow Identification Mobility Option Status Codes | FlowIDStatus | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FlowIDStatus:
"""[FlowIDStatus] Flow Identification Mobility Option Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:"""
... | stack_v2_sparse_classes_75kplus_train_069413 | 2,702 | permissive | [
{
"docstring": "Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:",
"name": "get",
"signature": "def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus'"
},
{
"docstring": "Lookup function used when value is not found... | 2 | null | Implement the Python class `FlowIDStatus` described below.
Class description:
[FlowIDStatus] Flow Identification Mobility Option Status Codes
Method signatures and docstrings:
- def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus': Backport support for original codes. Args: key: Key to get enum item. defaul... | Implement the Python class `FlowIDStatus` described below.
Class description:
[FlowIDStatus] Flow Identification Mobility Option Status Codes
Method signatures and docstrings:
- def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus': Backport support for original codes. Args: key: Key to get enum item. defaul... | a6fe49ec58f09e105bec5a00fb66d9b3f22730d9 | <|skeleton|>
class FlowIDStatus:
"""[FlowIDStatus] Flow Identification Mobility Option Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FlowIDStatus:
"""[FlowIDStatus] Flow Identification Mobility Option Status Codes"""
def get(key: 'int | str', default: 'int'=-1) -> 'FlowIDStatus':
"""Backport support for original codes. Args: key: Key to get enum item. default: Default value if not found. :meta private:"""
if isinstance... | the_stack_v2_python_sparse | pcapkit/const/mh/flow_id_status.py | JarryShaw/PyPCAPKit | train | 204 |
15cf2b112c003d861e51752b5b81467034054941 | [
"super().setUp()\nself.plugin = Plugin()\nself.plugin.current_forecast = self.current_temperature_forecast_cube",
"self.plugin.coefficients_cubelist = self.coeffs_from_mean\nscale_parameter = self.plugin._calculate_scale_parameter()\nself.assertCalibratedVariablesAlmostEqual(scale_parameter, self.expected_scale_p... | <|body_start_0|>
super().setUp()
self.plugin = Plugin()
self.plugin.current_forecast = self.current_temperature_forecast_cube
<|end_body_0|>
<|body_start_1|>
self.plugin.coefficients_cubelist = self.coeffs_from_mean
scale_parameter = self.plugin._calculate_scale_parameter()
... | Test the _calculate_scale_parameter method. | Test__calculate_scale_parameter | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test__calculate_scale_parameter:
"""Test the _calculate_scale_parameter method."""
def setUp(self):
"""Set-up the plugin for testing."""
<|body_0|>
def test_basic(self):
"""Test the scale parameter is calculated correctly."""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_75kplus_train_069414 | 23,621 | permissive | [
{
"docstring": "Set-up the plugin for testing.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test the scale parameter is calculated correctly.",
"name": "test_basic",
"signature": "def test_basic(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_042769 | Implement the Python class `Test__calculate_scale_parameter` described below.
Class description:
Test the _calculate_scale_parameter method.
Method signatures and docstrings:
- def setUp(self): Set-up the plugin for testing.
- def test_basic(self): Test the scale parameter is calculated correctly. | Implement the Python class `Test__calculate_scale_parameter` described below.
Class description:
Test the _calculate_scale_parameter method.
Method signatures and docstrings:
- def setUp(self): Set-up the plugin for testing.
- def test_basic(self): Test the scale parameter is calculated correctly.
<|skeleton|>
class... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test__calculate_scale_parameter:
"""Test the _calculate_scale_parameter method."""
def setUp(self):
"""Set-up the plugin for testing."""
<|body_0|>
def test_basic(self):
"""Test the scale parameter is calculated correctly."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Test__calculate_scale_parameter:
"""Test the _calculate_scale_parameter method."""
def setUp(self):
"""Set-up the plugin for testing."""
super().setUp()
self.plugin = Plugin()
self.plugin.current_forecast = self.current_temperature_forecast_cube
def test_basic(self):
... | the_stack_v2_python_sparse | improver_tests/calibration/ensemble_calibration/test_CalibratedForecastDistributionParameters.py | metoppv/improver | train | 101 |
7f38b4005a156acd239974c2aa1ee31a3a3e6dc4 | [
"bot_messages = []\nbrian_bot = UserUtils.get_brian_bot()\nfor u1, u2 in [[user1, user2], [user2, user1]]:\n chat = ChatUtils.find_chat([brian_bot, u1])\n message = models.Message.objects.create(chat=chat, text=message_text.format(user1=u1.first_name, user2=u2.first_name), sender=brian_bot)\n bot_messages.... | <|body_start_0|>
bot_messages = []
brian_bot = UserUtils.get_brian_bot()
for u1, u2 in [[user1, user2], [user2, user1]]:
chat = ChatUtils.find_chat([brian_bot, u1])
message = models.Message.objects.create(chat=chat, text=message_text.format(user1=u1.first_name, user2=u2.f... | Utilities for chats. | ChatUtils | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChatUtils:
"""Utilities for chats."""
def create_bot_chat_creation_messages(user1, user2, message_text):
"""Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent for these message. :param user1: A user. :param user2: A ... | stack_v2_sparse_classes_75kplus_train_069415 | 2,787 | permissive | [
{
"docstring": "Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent for these message. :param user1: A user. :param user2: A user. :param message_text: The bot message to notify users of the new match. Can contain placeholders {user1} and {user2... | 3 | stack_v2_sparse_classes_30k_train_044930 | Implement the Python class `ChatUtils` described below.
Class description:
Utilities for chats.
Method signatures and docstrings:
- def create_bot_chat_creation_messages(user1, user2, message_text): Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent ... | Implement the Python class `ChatUtils` described below.
Class description:
Utilities for chats.
Method signatures and docstrings:
- def create_bot_chat_creation_messages(user1, user2, message_text): Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent ... | 90ed2592f30afcb454111148a8121e1b9820e507 | <|skeleton|>
class ChatUtils:
"""Utilities for chats."""
def create_bot_chat_creation_messages(user1, user2, message_text):
"""Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent for these message. :param user1: A user. :param user2: A ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChatUtils:
"""Utilities for chats."""
def create_bot_chat_creation_messages(user1, user2, message_text):
"""Creates messages from Brian Bot to two users that a chat between them has been created. No push notifications are sent for these message. :param user1: A user. :param user2: A user. :param ... | the_stack_v2_python_sparse | friends/utilities/chat_utils.py | kairathmann/friends-backend | train | 0 |
9d9ea77deacbdc363c9f88f616bbd4367d985ea4 | [
"res = ApiResponse()\nschedules = Schedule.objects.all()\ndata = ScheduleSerializer(schedules, many=True).data\nres.update(True, 'Schedules fetched successfully', data)\nreturn res",
"res = ApiResponse()\ncronElements = cron.split()\nif len(cronElements) != 5:\n res.update(False, 'Crontab must contain five ele... | <|body_start_0|>
res = ApiResponse()
schedules = Schedule.objects.all()
data = ScheduleSerializer(schedules, many=True).data
res.update(True, 'Schedules fetched successfully', data)
return res
<|end_body_0|>
<|body_start_1|>
res = ApiResponse()
cronElements = cro... | ScheduleService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ScheduleService:
def getSchedules():
"""Service to get all schedule objects"""
<|body_0|>
def addSchedule(cron: str, timezone: str=None, name: str=''):
"""Service to add Schedule :param cron: Crontab in string format :param timezone: Timezone string for which to conf... | stack_v2_sparse_classes_75kplus_train_069416 | 3,756 | permissive | [
{
"docstring": "Service to get all schedule objects",
"name": "getSchedules",
"signature": "def getSchedules()"
},
{
"docstring": "Service to add Schedule :param cron: Crontab in string format :param timezone: Timezone string for which to configure Schedule :param name: Name of schedule provided... | 6 | null | Implement the Python class `ScheduleService` described below.
Class description:
Implement the ScheduleService class.
Method signatures and docstrings:
- def getSchedules(): Service to get all schedule objects
- def addSchedule(cron: str, timezone: str=None, name: str=''): Service to add Schedule :param cron: Crontab... | Implement the Python class `ScheduleService` described below.
Class description:
Implement the ScheduleService class.
Method signatures and docstrings:
- def getSchedules(): Service to get all schedule objects
- def addSchedule(cron: str, timezone: str=None, name: str=''): Service to add Schedule :param cron: Crontab... | 4c10cd804d6ca31a21d14d65670fa4c6b9a5d011 | <|skeleton|>
class ScheduleService:
def getSchedules():
"""Service to get all schedule objects"""
<|body_0|>
def addSchedule(cron: str, timezone: str=None, name: str=''):
"""Service to add Schedule :param cron: Crontab in string format :param timezone: Timezone string for which to conf... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ScheduleService:
def getSchedules():
"""Service to get all schedule objects"""
res = ApiResponse()
schedules = Schedule.objects.all()
data = ScheduleSerializer(schedules, many=True).data
res.update(True, 'Schedules fetched successfully', data)
return res
de... | the_stack_v2_python_sparse | api/anomaly/services/schedules.py | Slach/CueObserve | train | 0 | |
da86ef7b92d36ebcfde763d4d96b1e11896e0960 | [
"self.name = name\nself.bord = []\nfor i in range(0, 3):\n self.bord.append(Puzzle2Bord(definition[i:i + 2]))\nself.bord.append(Puzzle2Bord(definition[-1] + definition[0]))\nself.orientation = 0\nself.position = position\nself.numero = numero",
"image = pygame.image.load(self.name)\nself.image = pygame.transfo... | <|body_start_0|>
self.name = name
self.bord = []
for i in range(0, 3):
self.bord.append(Puzzle2Bord(definition[i:i + 2]))
self.bord.append(Puzzle2Bord(definition[-1] + definition[0]))
self.orientation = 0
self.position = position
self.numero = numero
<... | Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette information va donc bouger au fu... | Puzzle2Piece | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_75kplus_train_069417 | 17,451 | permissive | [
{
"docstring": "On définit la pièce: :param name: nom de l'image représentant la pièce :param definition: chaîne de 4 caractères indiquant les quatre couleurs au quatre angles :param position: c'est la position initiale de la pièce, on suppose que l'orientation est nulle pour commencer :param numero: numéro de ... | 4 | stack_v2_sparse_classes_30k_train_044024 | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | Implement the Python class `Puzzle2Piece` described below.
Class description:
Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la pos... | 2abbc7a20c7437f9ab91d1ec83a6aecdefceb028 | <|skeleton|>
class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Puzzle2Piece:
"""Définition d'une pièce du puzzle, celle-ci inclut : - **bord** : cette liste contient quatre objets de type Bord, cette liste ne changera plus - **position** : c'est la position de la pièce dans le puzzle, ce qui nous intéresse, c'est la position finale de la pièce dans le puzzle, cette infor... | the_stack_v2_python_sparse | src/ensae_teaching_cs/special/puzzle_2.py | Pandinosaurus/ensae_teaching_cs | train | 1 |
ffac3cd8681fd6598f7cf1b63288d8bc338fa1d3 | [
"n = len(s1)\ncount = [0 for _ in range(26)]\nif s1 == s2:\n return True\nfor i in range(n):\n count[ord(s1[i]) - ord('a')] += 1\n count[ord(s2[i]) - ord('a')] -= 1\nfor i in range(26):\n if count[i] != 0:\n return False\nfor i in range(1, n):\n if self.isScramble(s1[:i], s2[n - i:]) and self.... | <|body_start_0|>
n = len(s1)
count = [0 for _ in range(26)]
if s1 == s2:
return True
for i in range(n):
count[ord(s1[i]) - ord('a')] += 1
count[ord(s2[i]) - ord('a')] -= 1
for i in range(26):
if count[i] != 0:
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isScramble(self, s1, s2):
""":type s1: str :type s2: str :rtype: bool"""
<|body_0|>
def isScramble0(self, s1, s2):
""":type s1: str :type s2: str :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(s1)
count = ... | stack_v2_sparse_classes_75kplus_train_069418 | 2,163 | no_license | [
{
"docstring": ":type s1: str :type s2: str :rtype: bool",
"name": "isScramble",
"signature": "def isScramble(self, s1, s2)"
},
{
"docstring": ":type s1: str :type s2: str :rtype: bool",
"name": "isScramble0",
"signature": "def isScramble0(self, s1, s2)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isScramble(self, s1, s2): :type s1: str :type s2: str :rtype: bool
- def isScramble0(self, s1, s2): :type s1: str :type s2: str :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isScramble(self, s1, s2): :type s1: str :type s2: str :rtype: bool
- def isScramble0(self, s1, s2): :type s1: str :type s2: str :rtype: bool
<|skeleton|>
class Solution:
... | 9e49b2c6003b957276737005d4aaac276b44d251 | <|skeleton|>
class Solution:
def isScramble(self, s1, s2):
""":type s1: str :type s2: str :rtype: bool"""
<|body_0|>
def isScramble0(self, s1, s2):
""":type s1: str :type s2: str :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isScramble(self, s1, s2):
""":type s1: str :type s2: str :rtype: bool"""
n = len(s1)
count = [0 for _ in range(26)]
if s1 == s2:
return True
for i in range(n):
count[ord(s1[i]) - ord('a')] += 1
count[ord(s2[i]) - ord('a'... | the_stack_v2_python_sparse | PythonCode/src/0087_Scramble_String.py | oneyuan/CodeforFun | train | 0 | |
ae44db1c7842dec9a1c9fea9d5bc536b9573f7cf | [
"batch_sz, n_chans, img_y, img_x = self.input.shape\nn_kers, n_ker_chans, ker_x, ker_y = self.wts.shape\nker_sz = ker_x\nstride = 1\npad = int(np.ceil((ker_sz - 1) / 2))\nimg_y_p, img_x_p = (img_y + 2 * pad, img_x + 2 * pad)\nself.input_cols = im2col_cython.im2col_cython(self.input, ker_sz, ker_sz, pad, stride)\nse... | <|body_start_0|>
batch_sz, n_chans, img_y, img_x = self.input.shape
n_kers, n_ker_chans, ker_x, ker_y = self.wts.shape
ker_sz = ker_x
stride = 1
pad = int(np.ceil((ker_sz - 1) / 2))
img_y_p, img_x_p = (img_y + 2 * pad, img_x + 2 * pad)
self.input_cols = im2col_cyt... | Conv2DAccel | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2DAccel:
def compute_net_in(self):
"""Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython"""
<|body_0|>
def backward_netIn_to_prevLayer_netAct(self, d_upstream):
"""Computes fast convolution backward pass using the im2col algorithm,... | stack_v2_sparse_classes_75kplus_train_069419 | 4,393 | no_license | [
{
"docstring": "Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython",
"name": "compute_net_in",
"signature": "def compute_net_in(self)"
},
{
"docstring": "Computes fast convolution backward pass using the im2col algorithm, C-compiled via Cython Parameters: --------... | 2 | stack_v2_sparse_classes_30k_train_030451 | Implement the Python class `Conv2DAccel` described below.
Class description:
Implement the Conv2DAccel class.
Method signatures and docstrings:
- def compute_net_in(self): Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython
- def backward_netIn_to_prevLayer_netAct(self, d_upstream): Com... | Implement the Python class `Conv2DAccel` described below.
Class description:
Implement the Conv2DAccel class.
Method signatures and docstrings:
- def compute_net_in(self): Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython
- def backward_netIn_to_prevLayer_netAct(self, d_upstream): Com... | 924c5db8b7b7a70fae87d0fc30b28b6ce9cfa529 | <|skeleton|>
class Conv2DAccel:
def compute_net_in(self):
"""Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython"""
<|body_0|>
def backward_netIn_to_prevLayer_netAct(self, d_upstream):
"""Computes fast convolution backward pass using the im2col algorithm,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Conv2DAccel:
def compute_net_in(self):
"""Computes fast convolution net-in using the im2col algorithm, C-compiled via Cython"""
batch_sz, n_chans, img_y, img_x = self.input.shape
n_kers, n_ker_chans, ker_x, ker_y = self.wts.shape
ker_sz = ker_x
stride = 1
pad = ... | the_stack_v2_python_sparse | CNN and Optimizer/accelerated_layer.py | luhangsnn/neuralnetworks | train | 0 | |
587f85f9fa9f4904c08bf411363d469b50af825d | [
"try:\n return_data = ''\n return Response(json.dumps(return_data))\nexcept Exception as e:\n return_data = {'status': '404', 'result': str(e)}\n return Response(json.dumps(return_data))",
"try:\n return_data = ''\n return Response(json.dumps(return_data))\nexcept Exception as e:\n return_dat... | <|body_start_0|>
try:
return_data = ''
return Response(json.dumps(return_data))
except Exception as e:
return_data = {'status': '404', 'result': str(e)}
return Response(json.dumps(return_data))
<|end_body_0|>
<|body_start_1|>
try:
retu... | RunManagerWorkFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunManagerWorkFlow:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
<|body_0|>
def get(self, request, nnid):
"""CRUD of workflow information --- ... | stack_v2_sparse_classes_75kplus_train_069420 | 2,065 | permissive | [
{
"docstring": "CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)",
"name": "post",
"signature": "def post(self, request, nnid)"
},
{
"docstring": "CRUD of workflow information --- # Class Name : RunManagerWorkFlo... | 4 | stack_v2_sparse_classes_30k_train_002888 | Implement the Python class `RunManagerWorkFlow` described below.
Class description:
Implement the RunManagerWorkFlow class.
Method signatures and docstrings:
- def post(self, request, nnid): CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented... | Implement the Python class `RunManagerWorkFlow` described below.
Class description:
Implement the RunManagerWorkFlow class.
Method signatures and docstrings:
- def post(self, request, nnid): CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented... | 6ad2fbc7384e4dbe7e3e63bdb44c8ce0387f4b7f | <|skeleton|>
class RunManagerWorkFlow:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
<|body_0|>
def get(self, request, nnid):
"""CRUD of workflow information --- ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RunManagerWorkFlow:
def post(self, request, nnid):
"""CRUD of workflow information --- # Class Name : RunManagerWorkFlow # Description: CRUD of workflow information (not implemented yet)"""
try:
return_data = ''
return Response(json.dumps(return_data))
except Ex... | the_stack_v2_python_sparse | api/views/runmanager_workflow.py | yurimkoo/tensormsa | train | 1 | |
adb6b503ea1a19fa08bcabb198eee198d0f1acc3 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn BrowserSharedCookie()",
"from .browser_shared_cookie_history import BrowserSharedCookieHistory\nfrom .browser_shared_cookie_source_environment import BrowserSharedCookieSourceEnvironment\nfrom .browser_shared_cookie_status import Brows... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return BrowserSharedCookie()
<|end_body_0|>
<|body_start_1|>
from .browser_shared_cookie_history import BrowserSharedCookieHistory
from .browser_shared_cookie_source_environment import BrowserS... | BrowserSharedCookie | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BrowserSharedCookie:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> BrowserSharedCookie:
"""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 ob... | stack_v2_sparse_classes_75kplus_train_069421 | 5,839 | 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: BrowserSharedCookie",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator... | 3 | stack_v2_sparse_classes_30k_train_008250 | Implement the Python class `BrowserSharedCookie` described below.
Class description:
Implement the BrowserSharedCookie class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> BrowserSharedCookie: Creates a new instance of the appropriate class based on d... | Implement the Python class `BrowserSharedCookie` described below.
Class description:
Implement the BrowserSharedCookie class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> BrowserSharedCookie: Creates a new instance of the appropriate class based on d... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class BrowserSharedCookie:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> BrowserSharedCookie:
"""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 ob... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BrowserSharedCookie:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> BrowserSharedCookie:
"""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: ... | the_stack_v2_python_sparse | msgraph/generated/models/browser_shared_cookie.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
7ce23226482280dfe88e80666d921e0937f57430 | [
"super(QuantileHead, self).__init__()\nlayer = NoiseLinearLayer if noise else nn.Linear\nblock = noise_block if noise else fc_block\nself.Q = nn.Sequential(MLP(hidden_size, hidden_size, hidden_size, layer_num, layer_fn=layer, activation=activation, norm_type=norm_type), block(hidden_size, output_size))\nself.num_qu... | <|body_start_0|>
super(QuantileHead, self).__init__()
layer = NoiseLinearLayer if noise else nn.Linear
block = noise_block if noise else fc_block
self.Q = nn.Sequential(MLP(hidden_size, hidden_size, hidden_size, layer_num, layer_fn=layer, activation=activation, norm_type=norm_type), bloc... | QuantileHead | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class QuantileHead:
def __init__(self, hidden_size: int, output_size: int, layer_num: int=1, num_quantiles: int=32, quantile_embedding_size: int=128, beta_function_type: Optional[str]='uniform', activation: Optional[nn.Module]=nn.ReLU(), norm_type: Optional[str]=None, noise: Optional[bool]=False) -> N... | stack_v2_sparse_classes_75kplus_train_069422 | 31,233 | permissive | [
{
"docstring": "Overview: Init the Head according to arguments. Arguments: - hidden_size (:obj:`int`): The ``hidden_size`` used before connected to ``DuelingHead`` - output_size (:obj:`int`): The num of output - layer_num (:obj:`int`): The num of layers used in the network to compute Q value output - activation... | 3 | stack_v2_sparse_classes_30k_train_024780 | Implement the Python class `QuantileHead` described below.
Class description:
Implement the QuantileHead class.
Method signatures and docstrings:
- def __init__(self, hidden_size: int, output_size: int, layer_num: int=1, num_quantiles: int=32, quantile_embedding_size: int=128, beta_function_type: Optional[str]='unifo... | Implement the Python class `QuantileHead` described below.
Class description:
Implement the QuantileHead class.
Method signatures and docstrings:
- def __init__(self, hidden_size: int, output_size: int, layer_num: int=1, num_quantiles: int=32, quantile_embedding_size: int=128, beta_function_type: Optional[str]='unifo... | eb483fa6e46602d58c8e7d2ca1e566adca28e703 | <|skeleton|>
class QuantileHead:
def __init__(self, hidden_size: int, output_size: int, layer_num: int=1, num_quantiles: int=32, quantile_embedding_size: int=128, beta_function_type: Optional[str]='uniform', activation: Optional[nn.Module]=nn.ReLU(), norm_type: Optional[str]=None, noise: Optional[bool]=False) -> N... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class QuantileHead:
def __init__(self, hidden_size: int, output_size: int, layer_num: int=1, num_quantiles: int=32, quantile_embedding_size: int=128, beta_function_type: Optional[str]='uniform', activation: Optional[nn.Module]=nn.ReLU(), norm_type: Optional[str]=None, noise: Optional[bool]=False) -> None:
"... | the_stack_v2_python_sparse | ding/model/common/head.py | shengxuesun/DI-engine | train | 1 | |
0274b01751006d51a8bc38374cbf35e82c018589 | [
"W = np.array([[1.0, 0.0], [0.0, -1.0]])\nself.W = normalization_all(W)\nself.a = a",
"z_layer = np.dot(self.W, x.T)\na_layer = sigmoid(z_layer)\nargmax = np.argmax(a_layer)\nreturn argmax",
"self.W[argmax] = self.a * (x - self.W[argmax])\nself.W[argmax] = normalization(self.W[argmax])\nself.a -= self.decay",
... | <|body_start_0|>
W = np.array([[1.0, 0.0], [0.0, -1.0]])
self.W = normalization_all(W)
self.a = a
<|end_body_0|>
<|body_start_1|>
z_layer = np.dot(self.W, x.T)
a_layer = sigmoid(z_layer)
argmax = np.argmax(a_layer)
return argmax
<|end_body_1|>
<|body_start_2|>
... | competitive_network | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class competitive_network:
def __init__(self, x_dim, output_num, a):
"""类参数初始化"""
<|body_0|>
def forward_propagation(self, x):
"""前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针"""
<|body_1|>
def back_propagation(self, argmax, x):
... | stack_v2_sparse_classes_75kplus_train_069423 | 3,412 | no_license | [
{
"docstring": "类参数初始化",
"name": "__init__",
"signature": "def __init__(self, x_dim, output_num, a)"
},
{
"docstring": "前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针",
"name": "forward_propagation",
"signature": "def forward_propagation(self, x)"
},
{
"d... | 5 | stack_v2_sparse_classes_30k_train_038209 | Implement the Python class `competitive_network` described below.
Class description:
Implement the competitive_network class.
Method signatures and docstrings:
- def __init__(self, x_dim, output_num, a): 类参数初始化
- def forward_propagation(self, x): 前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针... | Implement the Python class `competitive_network` described below.
Class description:
Implement the competitive_network class.
Method signatures and docstrings:
- def __init__(self, x_dim, output_num, a): 类参数初始化
- def forward_propagation(self, x): 前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针... | 97e69c71af972f22c38b714b659a374d04c08b84 | <|skeleton|>
class competitive_network:
def __init__(self, x_dim, output_num, a):
"""类参数初始化"""
<|body_0|>
def forward_propagation(self, x):
"""前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针"""
<|body_1|>
def back_propagation(self, argmax, x):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class competitive_network:
def __init__(self, x_dim, output_num, a):
"""类参数初始化"""
W = np.array([[1.0, 0.0], [0.0, -1.0]])
self.W = normalization_all(W)
self.a = a
def forward_propagation(self, x):
"""前向传播 input:self(object):类参数 x(mat):一个训练样本 output:argmax(int):被激活的权重向量指针... | the_stack_v2_python_sparse | HW2/Letter_3.py | gavinatthu/ANN_course | train | 3 | |
fa62841e4604253c52f91eca580932b0c672c690 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn File()",
"from .hashes import Hashes\nfrom .hashes import Hashes\nfields: Dict[str, Callable[[Any], None]] = {'hashes': lambda n: setattr(self, 'hashes', n.get_object_value(Hashes)), 'mimeType': lambda n: setattr(self, 'mime_type', n.g... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return File()
<|end_body_0|>
<|body_start_1|>
from .hashes import Hashes
from .hashes import Hashes
fields: Dict[str, Callable[[Any], None]] = {'hashes': lambda n: setattr(self, 'hashes... | File | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class File:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> File:
"""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: File"""
... | stack_v2_sparse_classes_75kplus_train_069424 | 3,158 | 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: File",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(parse_no... | 3 | stack_v2_sparse_classes_30k_train_002815 | Implement the Python class `File` described below.
Class description:
Implement the File class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> File: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The pars... | Implement the Python class `File` described below.
Class description:
Implement the File class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> File: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The pars... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class File:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> File:
"""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: File"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class File:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> File:
"""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: File"""
if not parse_n... | the_stack_v2_python_sparse | msgraph/generated/models/file.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
93b054b0c42ae4757f09c63efce071f1279a4e7f | [
"product_to_delete_id = self.cleaned_data['product_to_delete']\ntry:\n product_to_delete = Product.objects.get(id=product_to_delete_id)\nexcept Product.DoesNotExist:\n raise forms.ValidationError(\"Ce produit n'existe pas !\")\nreturn product_to_delete",
"group_id = self.cleaned_data['group']\ntry:\n gro... | <|body_start_0|>
product_to_delete_id = self.cleaned_data['product_to_delete']
try:
product_to_delete = Product.objects.get(id=product_to_delete_id)
except Product.DoesNotExist:
raise forms.ValidationError("Ce produit n'existe pas !")
return product_to_delete
<|en... | ProductSuppressionForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProductSuppressionForm:
def clean_product_to_delete(self):
"""Return the Group object since the id input by user, if it exists"""
<|body_0|>
def clean_group(self):
"""Return the Group object since the id input by user, if it exists"""
<|body_1|>
def dele... | stack_v2_sparse_classes_75kplus_train_069425 | 1,863 | no_license | [
{
"docstring": "Return the Group object since the id input by user, if it exists",
"name": "clean_product_to_delete",
"signature": "def clean_product_to_delete(self)"
},
{
"docstring": "Return the Group object since the id input by user, if it exists",
"name": "clean_group",
"signature":... | 3 | stack_v2_sparse_classes_30k_test_000371 | Implement the Python class `ProductSuppressionForm` described below.
Class description:
Implement the ProductSuppressionForm class.
Method signatures and docstrings:
- def clean_product_to_delete(self): Return the Group object since the id input by user, if it exists
- def clean_group(self): Return the Group object s... | Implement the Python class `ProductSuppressionForm` described below.
Class description:
Implement the ProductSuppressionForm class.
Method signatures and docstrings:
- def clean_product_to_delete(self): Return the Group object since the id input by user, if it exists
- def clean_group(self): Return the Group object s... | cf0b982a6df2b8b4318d12d344ef0827394eedfd | <|skeleton|>
class ProductSuppressionForm:
def clean_product_to_delete(self):
"""Return the Group object since the id input by user, if it exists"""
<|body_0|>
def clean_group(self):
"""Return the Group object since the id input by user, if it exists"""
<|body_1|>
def dele... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ProductSuppressionForm:
def clean_product_to_delete(self):
"""Return the Group object since the id input by user, if it exists"""
product_to_delete_id = self.cleaned_data['product_to_delete']
try:
product_to_delete = Product.objects.get(id=product_to_delete_id)
exce... | the_stack_v2_python_sparse | product/forms.py | cleliofavoccia/Share | train | 0 | |
fa3444d6392e36d9dbd78be509675fcf97f9ba08 | [
"self.__monitor_time = monitor_seconds\nself.__block_time = block_seconds\nself.__chances = chances\nself.__monitor = {}\nself.__block = {}",
"is_blocked = False\nif host in self.__block:\n status = self.__block[host]\n delta_time = time_difference(status[self.__LAST_EVENT], time)\n if delta_time <= stat... | <|body_start_0|>
self.__monitor_time = monitor_seconds
self.__block_time = block_seconds
self.__chances = chances
self.__monitor = {}
self.__block = {}
<|end_body_0|>
<|body_start_1|>
is_blocked = False
if host in self.__block:
status = self.__block[h... | The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window. | BlockedHosts | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BlockedHosts:
"""The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window."""
def __init__(self, monitor_seconds=20, block_seconds=300, chances=3):
"""Public variables: moni... | stack_v2_sparse_classes_75kplus_train_069426 | 7,735 | no_license | [
{
"docstring": "Public variables: monitor_time: the time period during which a number of failed login attempts will trigger the block event block_time: the time period to block the user chances: the number of attempts of failed login Private variables: __monitor_dict(dict): keep track the events after first fai... | 4 | stack_v2_sparse_classes_30k_val_000303 | Implement the Python class `BlockedHosts` described below.
Class description:
The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window.
Method signatures and docstrings:
- def __init__(self, monitor_seconds=... | Implement the Python class `BlockedHosts` described below.
Class description:
The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window.
Method signatures and docstrings:
- def __init__(self, monitor_seconds=... | f99f15401955e8481e6c6b56b2f4afce0b0f81f7 | <|skeleton|>
class BlockedHosts:
"""The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window."""
def __init__(self, monitor_seconds=20, block_seconds=300, chances=3):
"""Public variables: moni... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BlockedHosts:
"""The class that keeps track of the failed login and block further activities if a host fails to login for a number of times consecutively within a specified time window."""
def __init__(self, monitor_seconds=20, block_seconds=300, chances=3):
"""Public variables: monitor_time: the... | the_stack_v2_python_sparse | src/block_hosts.py | yulinghuhappy/NASA-Fan-Web-analytics | train | 0 |
c00fe289eb2b02751a4404bf79361e1a4a5837bc | [
"try:\n sport = self.kwargs['sport']\nexcept KeyError:\n sport = 'nba'\nsite_sport_manager = sports.classes.SiteSportManager()\ninjury_serializer_class = site_sport_manager.get_tsxplayer_serializer_class(sport)\nreturn injury_serializer_class",
"sport = self.kwargs['sport']\nsite_sport_manager = sports.clas... | <|body_start_0|>
try:
sport = self.kwargs['sport']
except KeyError:
sport = 'nba'
site_sport_manager = sports.classes.SiteSportManager()
injury_serializer_class = site_sport_manager.get_tsxplayer_serializer_class(sport)
return injury_serializer_class
<|end... | gets the news for the sport | TsxPlayerNewsAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TsxPlayerNewsAPIView:
"""gets the news for the sport"""
def get_serializer_class(self):
"""override for having to set the self.serializer_class"""
<|body_0|>
def get_queryset(self):
"""Return a QuerySet from the LobbyContest model."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus_train_069427 | 26,966 | no_license | [
{
"docstring": "override for having to set the self.serializer_class",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "Return a QuerySet from the LobbyContest model.",
"name": "get_queryset",
"signature": "def get_queryset(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_045442 | Implement the Python class `TsxPlayerNewsAPIView` described below.
Class description:
gets the news for the sport
Method signatures and docstrings:
- def get_serializer_class(self): override for having to set the self.serializer_class
- def get_queryset(self): Return a QuerySet from the LobbyContest model. | Implement the Python class `TsxPlayerNewsAPIView` described below.
Class description:
gets the news for the sport
Method signatures and docstrings:
- def get_serializer_class(self): override for having to set the self.serializer_class
- def get_queryset(self): Return a QuerySet from the LobbyContest model.
<|skeleto... | 4796fa9d88b56f80def011e2b043ce595bfce8c4 | <|skeleton|>
class TsxPlayerNewsAPIView:
"""gets the news for the sport"""
def get_serializer_class(self):
"""override for having to set the self.serializer_class"""
<|body_0|>
def get_queryset(self):
"""Return a QuerySet from the LobbyContest model."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TsxPlayerNewsAPIView:
"""gets the news for the sport"""
def get_serializer_class(self):
"""override for having to set the self.serializer_class"""
try:
sport = self.kwargs['sport']
except KeyError:
sport = 'nba'
site_sport_manager = sports.classes.S... | the_stack_v2_python_sparse | sports/views.py | nakamotohideyoshi/draftboard-web | train | 0 |
98eb79ca1ba9175e18f884f14c13083c5fb0e78e | [
"def rserialize(root: 'TreeNode', string: str) -> str:\n if not root:\n string += 'None,'\n string += str(root.val) + ','\n string = rserialize(root.left, string)\n string = rserialize(root.right, string)\n return string\nreturn rserialize(root, '')",
"def rdeserialize(tree: List[str]) -> 'T... | <|body_start_0|>
def rserialize(root: 'TreeNode', string: str) -> str:
if not root:
string += 'None,'
string += str(root.val) + ','
string = rserialize(root.left, string)
string = rserialize(root.right, string)
return string
ret... | Approach: DFS Time Complexity: O(N) Space Complexity: O(N) | Tree | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Tree:
"""Approach: DFS Time Complexity: O(N) Space Complexity: O(N)"""
def serialize(self, root: 'TreeNode') -> str:
"""Serializes given Binary Search Tree :param root: :return:"""
<|body_0|>
def deserialize(self, data: str) -> 'TreeNode':
"""Deserializes given s... | stack_v2_sparse_classes_75kplus_train_069428 | 1,379 | no_license | [
{
"docstring": "Serializes given Binary Search Tree :param root: :return:",
"name": "serialize",
"signature": "def serialize(self, root: 'TreeNode') -> str"
},
{
"docstring": "Deserializes given string into binary search. :param data: :return:",
"name": "deserialize",
"signature": "def d... | 2 | null | Implement the Python class `Tree` described below.
Class description:
Approach: DFS Time Complexity: O(N) Space Complexity: O(N)
Method signatures and docstrings:
- def serialize(self, root: 'TreeNode') -> str: Serializes given Binary Search Tree :param root: :return:
- def deserialize(self, data: str) -> 'TreeNode':... | Implement the Python class `Tree` described below.
Class description:
Approach: DFS Time Complexity: O(N) Space Complexity: O(N)
Method signatures and docstrings:
- def serialize(self, root: 'TreeNode') -> str: Serializes given Binary Search Tree :param root: :return:
- def deserialize(self, data: str) -> 'TreeNode':... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class Tree:
"""Approach: DFS Time Complexity: O(N) Space Complexity: O(N)"""
def serialize(self, root: 'TreeNode') -> str:
"""Serializes given Binary Search Tree :param root: :return:"""
<|body_0|>
def deserialize(self, data: str) -> 'TreeNode':
"""Deserializes given s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Tree:
"""Approach: DFS Time Complexity: O(N) Space Complexity: O(N)"""
def serialize(self, root: 'TreeNode') -> str:
"""Serializes given Binary Search Tree :param root: :return:"""
def rserialize(root: 'TreeNode', string: str) -> str:
if not root:
string += 'No... | the_stack_v2_python_sparse | revisited/trees/serialize_deserialize_bst.py | Shiv2157k/leet_code | train | 1 |
f74120235cfced49f55798b4bf7d36fd68e3188f | [
"def preorder(root):\n if not root:\n return []\n return [root.val] + preorder(root.left) + preorder(root.right)\nreturn ' '.join([str(i) for i in preorder(root)])",
"data = [int(i) for i in data.split()]\n\ndef buildTree(data):\n if not data:\n return None\n root = TreeNode(data[0])\n ... | <|body_start_0|>
def preorder(root):
if not root:
return []
return [root.val] + preorder(root.left) + preorder(root.right)
return ' '.join([str(i) for i in preorder(root)])
<|end_body_0|>
<|body_start_1|>
data = [int(i) for i in data.split()]
def... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_069429 | 1,346 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: TreeNode :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: TreeNode",
"name": "deserialize",
"signature": "def deserializ... | 2 | stack_v2_sparse_classes_30k_train_017305 | 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:... | a509b383a42f54313970168d9faa11f088f18708 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def preorder(root):
if not root:
return []
return [root.val] + preorder(root.left) + preorder(root.right)
return ' '.join([str(i) for i in... | the_stack_v2_python_sparse | 0449_Serialize_and_Deserialize_BST.py | bingli8802/leetcode | train | 0 | |
ba15fad56bd4f6c18272cfa531f6554ba3b2e985 | [
"self.env = env\nself.buffer = buffer\nself.agent = agent\nself.maximize = maximize\nself.batch_size = batch_size",
"terminal = False\nx = self.env.reset()\ncosts = []\ntraj = [x]\nus = []\ni = 0\nwhile i < episode_length:\n u = policy(x)\n x_next, cost, terminal, _ = self.env.step(u)\n if self.maximize:... | <|body_start_0|>
self.env = env
self.buffer = buffer
self.agent = agent
self.maximize = maximize
self.batch_size = batch_size
<|end_body_0|>
<|body_start_1|>
terminal = False
x = self.env.reset()
costs = []
traj = [x]
us = []
i = 0... | A learner class to control DDPG training process. | DDPGLearner | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DDPGLearner:
"""A learner class to control DDPG training process."""
def __init__(self, env, buffer, agent, maximize=False, batch_size=128):
"""Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer instance; agent: a DPPGAgent instance; maximize: whether to ma... | stack_v2_sparse_classes_75kplus_train_069430 | 4,422 | no_license | [
{
"docstring": "Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer instance; agent: a DPPGAgent instance; maximize: whether to maximize the reward sequence. If set True the learner would try to maximize the environment rewards, or the learner would minimize the cost; batch_size: sampl... | 3 | null | Implement the Python class `DDPGLearner` described below.
Class description:
A learner class to control DDPG training process.
Method signatures and docstrings:
- def __init__(self, env, buffer, agent, maximize=False, batch_size=128): Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer insta... | Implement the Python class `DDPGLearner` described below.
Class description:
A learner class to control DDPG training process.
Method signatures and docstrings:
- def __init__(self, env, buffer, agent, maximize=False, batch_size=128): Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer insta... | 44eff6d17e4da0b0adc85e5e84cf4b8edb8a1bb8 | <|skeleton|>
class DDPGLearner:
"""A learner class to control DDPG training process."""
def __init__(self, env, buffer, agent, maximize=False, batch_size=128):
"""Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer instance; agent: a DPPGAgent instance; maximize: whether to ma... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DDPGLearner:
"""A learner class to control DDPG training process."""
def __init__(self, env, buffer, agent, maximize=False, batch_size=128):
"""Initialize learner object. Args: env: the environment; buffer: a ReplayBuffer instance; agent: a DPPGAgent instance; maximize: whether to maximize the re... | the_stack_v2_python_sparse | Project/learners/ddpg_learner.py | peng00bo00/optlearningcontrol | train | 0 |
1e413ecc1e6295cae223887a236bb81c47fbdbbc | [
"if not isinstance(estimator, PropensityEstimator):\n raise TypeError(f'PropensityPredictor must be initialized with PropensityEstimator. Received ({type(estimator)}) instead.')\nsuper().__init__(estimator)",
"propensity = self.estimator.compute_propensity(X, a, treatment_values=a.max())\npropensity_matrix = s... | <|body_start_0|>
if not isinstance(estimator, PropensityEstimator):
raise TypeError(f'PropensityPredictor must be initialized with PropensityEstimator. Received ({type(estimator)}) instead.')
super().__init__(estimator)
<|end_body_0|>
<|body_start_1|>
propensity = self.estimator.com... | Generate evaluation predictions for PropensityEstimator models. | PropensityPredictor | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PropensityPredictor:
"""Generate evaluation predictions for PropensityEstimator models."""
def __init__(self, estimator):
"""Args: estimator (PropensityEstimator):"""
<|body_0|>
def predict(self, X, a):
"""Predict on data. Args: X (pd.DataFrame): Covariates. a (p... | stack_v2_sparse_classes_75kplus_train_069431 | 8,664 | permissive | [
{
"docstring": "Args: estimator (PropensityEstimator):",
"name": "__init__",
"signature": "def __init__(self, estimator)"
},
{
"docstring": "Predict on data. Args: X (pd.DataFrame): Covariates. a (pd.Series): Target variable - treatment assignment Returns: PropensityEvaluatorPredictions",
"n... | 2 | stack_v2_sparse_classes_30k_train_038426 | Implement the Python class `PropensityPredictor` described below.
Class description:
Generate evaluation predictions for PropensityEstimator models.
Method signatures and docstrings:
- def __init__(self, estimator): Args: estimator (PropensityEstimator):
- def predict(self, X, a): Predict on data. Args: X (pd.DataFra... | Implement the Python class `PropensityPredictor` described below.
Class description:
Generate evaluation predictions for PropensityEstimator models.
Method signatures and docstrings:
- def __init__(self, estimator): Args: estimator (PropensityEstimator):
- def predict(self, X, a): Predict on data. Args: X (pd.DataFra... | 9f0ddb4696d580cf0a529a6c6ce98b40b34e3796 | <|skeleton|>
class PropensityPredictor:
"""Generate evaluation predictions for PropensityEstimator models."""
def __init__(self, estimator):
"""Args: estimator (PropensityEstimator):"""
<|body_0|>
def predict(self, X, a):
"""Predict on data. Args: X (pd.DataFrame): Covariates. a (p... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PropensityPredictor:
"""Generate evaluation predictions for PropensityEstimator models."""
def __init__(self, estimator):
"""Args: estimator (PropensityEstimator):"""
if not isinstance(estimator, PropensityEstimator):
raise TypeError(f'PropensityPredictor must be initialized w... | the_stack_v2_python_sparse | causallib/evaluation/predictor.py | vishalbelsare/causallib | train | 0 |
4c6239f5ddb71c3de9b07c7505d6a31476befa3a | [
"try:\n filters = {'building': building, 'level': int(level), 'pos_x': int(pos_x), 'pos_y': int(pos_y)}\nexcept:\n return ({'message': 'Please input valid number for level, pos_x, and pos_y.'}, 404)\nnav_node = NavNodeModel.find_nav_node_by_pos(**filters)\nif nav_node:\n return ({'nav_node_result': nav_nod... | <|body_start_0|>
try:
filters = {'building': building, 'level': int(level), 'pos_x': int(pos_x), 'pos_y': int(pos_y)}
except:
return ({'message': 'Please input valid number for level, pos_x, and pos_y.'}, 404)
nav_node = NavNodeModel.find_nav_node_by_pos(**filters)
... | NavNode | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NavNode:
def get(self, building, level, pos_x, pos_y):
"""displays a nav point's details"""
<|body_0|>
def post(self, building, level, pos_x, pos_y):
"""adds a new nav point"""
<|body_1|>
def delete(self, building, level, pos_x, pos_y):
"""delete... | stack_v2_sparse_classes_75kplus_train_069432 | 18,826 | permissive | [
{
"docstring": "displays a nav point's details",
"name": "get",
"signature": "def get(self, building, level, pos_x, pos_y)"
},
{
"docstring": "adds a new nav point",
"name": "post",
"signature": "def post(self, building, level, pos_x, pos_y)"
},
{
"docstring": "deletes a location... | 3 | stack_v2_sparse_classes_30k_train_002974 | Implement the Python class `NavNode` described below.
Class description:
Implement the NavNode class.
Method signatures and docstrings:
- def get(self, building, level, pos_x, pos_y): displays a nav point's details
- def post(self, building, level, pos_x, pos_y): adds a new nav point
- def delete(self, building, leve... | Implement the Python class `NavNode` described below.
Class description:
Implement the NavNode class.
Method signatures and docstrings:
- def get(self, building, level, pos_x, pos_y): displays a nav point's details
- def post(self, building, level, pos_x, pos_y): adds a new nav point
- def delete(self, building, leve... | 6ad7616b5d5d3076a132b8ae68d5f8b3272877a0 | <|skeleton|>
class NavNode:
def get(self, building, level, pos_x, pos_y):
"""displays a nav point's details"""
<|body_0|>
def post(self, building, level, pos_x, pos_y):
"""adds a new nav point"""
<|body_1|>
def delete(self, building, level, pos_x, pos_y):
"""delete... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NavNode:
def get(self, building, level, pos_x, pos_y):
"""displays a nav point's details"""
try:
filters = {'building': building, 'level': int(level), 'pos_x': int(pos_x), 'pos_y': int(pos_y)}
except:
return ({'message': 'Please input valid number for level, pos... | the_stack_v2_python_sparse | flask_app/resources/navigation.py | alejwang/si699-si-hunt | train | 2 | |
23eff74093169f7840dd859b8c4942d820ed1ae2 | [
"with h5py.File(self.reference_fname, 'r') as reference_fid, h5py.File(self.test_fname, 'r') as test_fid:\n ref_dset = reference_fid['slope']\n test_dset = test_fid['slope']\n npt.assert_almost_equal(test_dset, ref_dset, decimal=self.decimal_precision)",
"with h5py.File(self.reference_fname, 'r') as refe... | <|body_start_0|>
with h5py.File(self.reference_fname, 'r') as reference_fid, h5py.File(self.test_fname, 'r') as test_fid:
ref_dset = reference_fid['slope']
test_dset = test_fid['slope']
npt.assert_almost_equal(test_dset, ref_dset, decimal=self.decimal_precision)
<|end_body_0|... | Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by comparing against an existing dataset. | TestSlopeAspect | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSlopeAspect:
"""Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by comparing against an existing dataset."""
... | stack_v2_sparse_classes_75kplus_train_069433 | 3,376 | permissive | [
{
"docstring": "Test the slope array.",
"name": "test_slope",
"signature": "def test_slope(self)"
},
{
"docstring": "Test the aspect array.",
"name": "test_aspect",
"signature": "def test_aspect(self)"
}
] | 2 | null | Implement the Python class `TestSlopeAspect` described below.
Class description:
Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by compar... | Implement the Python class `TestSlopeAspect` described below.
Class description:
Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by compar... | 4ae3670681b872530f59c57ab537a45d1b09c009 | <|skeleton|>
class TestSlopeAspect:
"""Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by comparing against an existing dataset."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestSlopeAspect:
"""Unittesting for the exiting angles computation found in `wagl.slope_aspect_arrays`. Unittests will occur for the following datasets: * slope * aspect We're not explicitly testing the function, but implicitly testing the function by comparing against an existing dataset."""
def test_sl... | the_stack_v2_python_sparse | wagl/scripts/test_slope_aspect.py | GeoscienceAustralia/wagl | train | 25 |
026ad6e94548ccffdc0ce6d63ef3bd9841dca258 | [
"if group == -1:\n group = self.window.active_group()\nif group >= 0:\n persistent = is_persistent()\n views = self.window.views_in_group(int(group))\n if not persistent or force:\n for v in views:\n v.settings().erase('tabs_extra_sticky')",
"if group == -1:\n group = self.window.... | <|body_start_0|>
if group == -1:
group = self.window.active_group()
if group >= 0:
persistent = is_persistent()
views = self.window.views_in_group(int(group))
if not persistent or force:
for v in views:
v.settings().eras... | Clear all sticky tabs. | TabsExtraClearAllStickyCommand | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TabsExtraClearAllStickyCommand:
"""Clear all sticky tabs."""
def run(self, group=-1, force=False):
"""Clear all tab sticky states of current active group."""
<|body_0|>
def is_visible(self, group=-1, force=False):
"""Show command if any tabs in active group are s... | stack_v2_sparse_classes_75kplus_train_069434 | 33,758 | permissive | [
{
"docstring": "Clear all tab sticky states of current active group.",
"name": "run",
"signature": "def run(self, group=-1, force=False)"
},
{
"docstring": "Show command if any tabs in active group are sticky.",
"name": "is_visible",
"signature": "def is_visible(self, group=-1, force=Fal... | 2 | null | Implement the Python class `TabsExtraClearAllStickyCommand` described below.
Class description:
Clear all sticky tabs.
Method signatures and docstrings:
- def run(self, group=-1, force=False): Clear all tab sticky states of current active group.
- def is_visible(self, group=-1, force=False): Show command if any tabs ... | Implement the Python class `TabsExtraClearAllStickyCommand` described below.
Class description:
Clear all sticky tabs.
Method signatures and docstrings:
- def run(self, group=-1, force=False): Clear all tab sticky states of current active group.
- def is_visible(self, group=-1, force=False): Show command if any tabs ... | fa9d29c3553d7e05e9cc25f3fdf3fc410944927d | <|skeleton|>
class TabsExtraClearAllStickyCommand:
"""Clear all sticky tabs."""
def run(self, group=-1, force=False):
"""Clear all tab sticky states of current active group."""
<|body_0|>
def is_visible(self, group=-1, force=False):
"""Show command if any tabs in active group are s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TabsExtraClearAllStickyCommand:
"""Clear all sticky tabs."""
def run(self, group=-1, force=False):
"""Clear all tab sticky states of current active group."""
if group == -1:
group = self.window.active_group()
if group >= 0:
persistent = is_persistent()
... | the_stack_v2_python_sparse | tabs_extra.py | facelessuser/TabsExtra | train | 84 |
2b893bd49218b84db13f2b67c48bef03fe32d801 | [
"self.stime = stime\nself.etime = etime\nself.stype = stype\nself.beams = []\nreturn",
"self.stime = self.beams[0].time\nself.etime = self.beams[-1].time\nif up:\n self._populate_avg_params()\nreturn",
"f, nsky = ([], [])\nfor b in self.beams:\n f.append(getattr(b, 'tfreq'))\n nsky.append(getattr(b, 'n... | <|body_start_0|>
self.stime = stime
self.etime = etime
self.stype = stype
self.beams = []
return
<|end_body_0|>
<|body_start_1|>
self.stime = self.beams[0].time
self.etime = self.beams[-1].time
if up:
self._populate_avg_params()
return... | Class to hold one scan (multiple beams) | Scan | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Scan:
"""Class to hold one scan (multiple beams)"""
def __init__(self, stime=None, etime=None, stype='normal'):
"""initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan type"""
<|body_0|>
def update_time(self, up=Tru... | stack_v2_sparse_classes_75kplus_train_069435 | 14,009 | permissive | [
{
"docstring": "initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan type",
"name": "__init__",
"signature": "def __init__(self, stime=None, etime=None, stype='normal')"
},
{
"docstring": "Update stime and etime of the scan. up: Update aver... | 4 | stack_v2_sparse_classes_30k_train_019726 | Implement the Python class `Scan` described below.
Class description:
Class to hold one scan (multiple beams)
Method signatures and docstrings:
- def __init__(self, stime=None, etime=None, stype='normal'): initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan typ... | Implement the Python class `Scan` described below.
Class description:
Class to hold one scan (multiple beams)
Method signatures and docstrings:
- def __init__(self, stime=None, etime=None, stype='normal'): initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan typ... | f11786cde6dfa156fd217fffb1f1bb17ffaa47f5 | <|skeleton|>
class Scan:
"""Class to hold one scan (multiple beams)"""
def __init__(self, stime=None, etime=None, stype='normal'):
"""initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan type"""
<|body_0|>
def update_time(self, up=Tru... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Scan:
"""Class to hold one scan (multiple beams)"""
def __init__(self, stime=None, etime=None, stype='normal'):
"""initialize the parameters which will be stored stime: start time of scan etime: end time of scan stype: scan type"""
self.stime = stime
self.etime = etime
sel... | the_stack_v2_python_sparse | analysis/get_sd_data.py | shibaji7/clustering_superdarn_data | train | 1 |
491d9b5d2f106627ac0a8fa63490b65a97d740f7 | [
"self.original_nums = list(nums)\nfor idx, value in enumerate(nums):\n if idx == 0:\n continue\n nums[idx] += nums[idx - 1]\nself.nums = nums",
"self.original_nums[i] = val\nprint(self.original_nums[i])\nprint(val)\nnew_nums = list(self.original_nums)\nif i != 0:\n new_nums[0:i - 1] = list(self.nu... | <|body_start_0|>
self.original_nums = list(nums)
for idx, value in enumerate(nums):
if idx == 0:
continue
nums[idx] += nums[idx - 1]
self.nums = nums
<|end_body_0|>
<|body_start_1|>
self.original_nums[i] = val
print(self.original_nums[i])
... | NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus_train_069436 | 2,318 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type val: int :rtype: void",
"name": "update",
"signature": "def update(self, i, val)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
... | 3 | null | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def update(self, i, val): :type i: int :type val: int :rtype: void
- def sumRange(self, i, j): :type i: int :type j: int :rtype:... | 1dec441f1975d402d093031569cfd301eb71d465 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def update(self, i, val):
""":type i: int :type val: int :rtype: void"""
<|body_1|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_2|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
self.original_nums = list(nums)
for idx, value in enumerate(nums):
if idx == 0:
continue
nums[idx] += nums[idx - 1]
self.nums = nums
def update(self, i, val):
""... | the_stack_v2_python_sparse | 307-range-sum-query-mutable.py | franktank/py-practice | train | 1 | |
a33d9ebca4a7476b41a3c0ab88702e913a5d60ba | [
"self.mode = mode\nself.allowed_urls = allowed_urls\nself.allowed_files = allowed_files",
"if dictionary is None:\n return None\nmode = dictionary.get('mode')\nallowed_urls = None\nif dictionary.get('allowedUrls') != None:\n allowed_urls = list()\n for structure in dictionary.get('allowedUrls'):\n ... | <|body_start_0|>
self.mode = mode
self.allowed_urls = allowed_urls
self.allowed_files = allowed_files
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
mode = dictionary.get('mode')
allowed_urls = None
if dictionary.get('allowedUrls')... | Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_urls (list of AllowedUrlModel): The urls that should be permitted by the malware detection engine. If omitted... | UpdateNetworkSecurityMalwareSettingsModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateNetworkSecurityMalwareSettingsModel:
"""Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_urls (list of AllowedUrlModel): The urls... | stack_v2_sparse_classes_75kplus_train_069437 | 3,077 | permissive | [
{
"docstring": "Constructor for the UpdateNetworkSecurityMalwareSettingsModel class",
"name": "__init__",
"signature": "def __init__(self, mode=None, allowed_urls=None, allowed_files=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A di... | 2 | stack_v2_sparse_classes_30k_train_019392 | Implement the Python class `UpdateNetworkSecurityMalwareSettingsModel` described below.
Class description:
Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_u... | Implement the Python class `UpdateNetworkSecurityMalwareSettingsModel` described below.
Class description:
Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_u... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class UpdateNetworkSecurityMalwareSettingsModel:
"""Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_urls (list of AllowedUrlModel): The urls... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateNetworkSecurityMalwareSettingsModel:
"""Implementation of the 'updateNetworkSecurityMalwareSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'enabled' to enable malware prevention, otherwise 'disabled' allowed_urls (list of AllowedUrlModel): The urls that should ... | the_stack_v2_python_sparse | meraki_sdk/models/update_network_security_malware_settings_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
e75bc8dfd195bd24d42567033ec42a57f1c517f8 | [
"try:\n the_data = json.dumps(self.decrypt_long_data(request.body), ensure_ascii=False)\n json_formated = json.loads(the_data)\n json_decoded = json.loads(json_formated)\n instance = self.get_object()\n instance.name = json_decoded['name']\n instance.description = json_decoded['description']\n ... | <|body_start_0|>
try:
the_data = json.dumps(self.decrypt_long_data(request.body), ensure_ascii=False)
json_formated = json.loads(the_data)
json_decoded = json.loads(json_formated)
instance = self.get_object()
instance.name = json_decoded['name']
... | TaskRetrieveUpdateDestroyAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskRetrieveUpdateDestroyAPIView:
def update(self, request, *args, **kwargs):
"""update model with pk"""
<|body_0|>
def destroy(self, request, *args, **kwargs):
"""delete object with id"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_75kplus_train_069438 | 7,130 | no_license | [
{
"docstring": "update model with pk",
"name": "update",
"signature": "def update(self, request, *args, **kwargs)"
},
{
"docstring": "delete object with id",
"name": "destroy",
"signature": "def destroy(self, request, *args, **kwargs)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014683 | Implement the Python class `TaskRetrieveUpdateDestroyAPIView` described below.
Class description:
Implement the TaskRetrieveUpdateDestroyAPIView class.
Method signatures and docstrings:
- def update(self, request, *args, **kwargs): update model with pk
- def destroy(self, request, *args, **kwargs): delete object with... | Implement the Python class `TaskRetrieveUpdateDestroyAPIView` described below.
Class description:
Implement the TaskRetrieveUpdateDestroyAPIView class.
Method signatures and docstrings:
- def update(self, request, *args, **kwargs): update model with pk
- def destroy(self, request, *args, **kwargs): delete object with... | ddcaf61932588200f57cd9de246d45a4015eab24 | <|skeleton|>
class TaskRetrieveUpdateDestroyAPIView:
def update(self, request, *args, **kwargs):
"""update model with pk"""
<|body_0|>
def destroy(self, request, *args, **kwargs):
"""delete object with id"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskRetrieveUpdateDestroyAPIView:
def update(self, request, *args, **kwargs):
"""update model with pk"""
try:
the_data = json.dumps(self.decrypt_long_data(request.body), ensure_ascii=False)
json_formated = json.loads(the_data)
json_decoded = json.loads(json_... | the_stack_v2_python_sparse | admin_ext/api_views.py | BALPRES/BALPRES_BE | train | 0 | |
cb2d9a600cf46fd9cd5dfb93c3747bdee3c125ba | [
"email = self.cleaned_data.get('email')\nif User.objects.filter(email__iexact=email):\n message = 'Email already registered!'\n raise ValidationError(message)\nreturn email",
"username = self.cleaned_data.get('username')\nif User.objects.filter(username__iexact=username):\n message = 'Username already re... | <|body_start_0|>
email = self.cleaned_data.get('email')
if User.objects.filter(email__iexact=email):
message = 'Email already registered!'
raise ValidationError(message)
return email
<|end_body_0|>
<|body_start_1|>
username = self.cleaned_data.get('username')
... | Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered. | UserRegistrationForm | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserRegistrationForm:
"""Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered."""
def clean_email(self):
"""Check if email already registered (case insensitive check)"""
<|body_0|>
def clean_usernam... | stack_v2_sparse_classes_75kplus_train_069439 | 4,777 | no_license | [
{
"docstring": "Check if email already registered (case insensitive check)",
"name": "clean_email",
"signature": "def clean_email(self)"
},
{
"docstring": "Check if username already registered (case insensitive check)",
"name": "clean_username",
"signature": "def clean_username(self)"
... | 2 | stack_v2_sparse_classes_30k_train_036168 | Implement the Python class `UserRegistrationForm` described below.
Class description:
Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered.
Method signatures and docstrings:
- def clean_email(self): Check if email already registered (case insens... | Implement the Python class `UserRegistrationForm` described below.
Class description:
Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered.
Method signatures and docstrings:
- def clean_email(self): Check if email already registered (case insens... | 2673181f3b7fd95be4441a2171f1318f17dfd85e | <|skeleton|>
class UserRegistrationForm:
"""Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered."""
def clean_email(self):
"""Check if email already registered (case insensitive check)"""
<|body_0|>
def clean_usernam... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserRegistrationForm:
"""Extending UserCreationForm Performs case insensitive check for email and username to make sure they're not already registered."""
def clean_email(self):
"""Check if email already registered (case insensitive check)"""
email = self.cleaned_data.get('email')
... | the_stack_v2_python_sparse | accounts/forms.py | faisalae/RTarchViz | train | 0 |
396071bcdee9ab2b031b084f18bd2aea6abd682d | [
"self.fs_type = fs_type\nself.image = image\nself.keyring = keyring\nself.monitors = monitors\nself.pool = pool\nself.read_only = read_only\nself.secret_ref = secret_ref\nself.user = user",
"if dictionary is None:\n return None\nfs_type = dictionary.get('fsType')\nimage = dictionary.get('image')\nkeyring = dic... | <|body_start_0|>
self.fs_type = fs_type
self.image = image
self.keyring = keyring
self.monitors = monitors
self.pool = pool
self.read_only = read_only
self.secret_ref = secret_ref
self.user = user
<|end_body_0|>
<|body_start_1|>
if dictionary is N... | Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type description here. keyring (string): TODO: Type description here. monitors (list of string): TODO: Ty... | PodInfo_PodSpec_VolumeInfo_RBD | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PodInfo_PodSpec_VolumeInfo_RBD:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type description here. keyring (string): TODO: ... | stack_v2_sparse_classes_75kplus_train_069440 | 3,022 | permissive | [
{
"docstring": "Constructor for the PodInfo_PodSpec_VolumeInfo_RBD class",
"name": "__init__",
"signature": "def __init__(self, fs_type=None, image=None, keyring=None, monitors=None, pool=None, read_only=None, secret_ref=None, user=None)"
},
{
"docstring": "Creates an instance of this model from... | 2 | stack_v2_sparse_classes_30k_train_021596 | Implement the Python class `PodInfo_PodSpec_VolumeInfo_RBD` described below.
Class description:
Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type des... | Implement the Python class `PodInfo_PodSpec_VolumeInfo_RBD` described below.
Class description:
Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type des... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class PodInfo_PodSpec_VolumeInfo_RBD:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type description here. keyring (string): TODO: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PodInfo_PodSpec_VolumeInfo_RBD:
"""Implementation of the 'PodInfo_PodSpec_VolumeInfo_RBD' model. Represents a Rados Block Device mount that lasts the lifetime of a pod. Attributes: fs_type (string): TODO: Type description here. image (string): TODO: Type description here. keyring (string): TODO: Type descript... | the_stack_v2_python_sparse | cohesity_management_sdk/models/pod_info_pod_spec_volume_info_rbd.py | cohesity/management-sdk-python | train | 24 |
024dd4d041afd8f16c32f6309357eaec0c7e868d | [
"parts = expression.split()\nif parts[0] == 'help':\n if len(parts) == 2:\n return True\nreturn False",
"target_name = expression.split()[1]\ntarget_command = commands.find(target_name)\nreturn target_command.description"
] | <|body_start_0|>
parts = expression.split()
if parts[0] == 'help':
if len(parts) == 2:
return True
return False
<|end_body_0|>
<|body_start_1|>
target_name = expression.split()[1]
target_command = commands.find(target_name)
return target_comma... | SpecificHelp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpecificHelp:
def matches(self, expression):
""">>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one parameter for now >>> specific_help.matches('help foo bar') False"""
<|body_0|>
def exec... | stack_v2_sparse_classes_75kplus_train_069441 | 1,255 | no_license | [
{
"docstring": ">>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one parameter for now >>> specific_help.matches('help foo bar') False",
"name": "matches",
"signature": "def matches(self, expression)"
},
{
"doc... | 2 | null | Implement the Python class `SpecificHelp` described below.
Class description:
Implement the SpecificHelp class.
Method signatures and docstrings:
- def matches(self, expression): >>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one ... | Implement the Python class `SpecificHelp` described below.
Class description:
Implement the SpecificHelp class.
Method signatures and docstrings:
- def matches(self, expression): >>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one ... | 9fb74ff71c3a7cd5763145f4ed328647d0cd70bc | <|skeleton|>
class SpecificHelp:
def matches(self, expression):
""">>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one parameter for now >>> specific_help.matches('help foo bar') False"""
<|body_0|>
def exec... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SpecificHelp:
def matches(self, expression):
""">>> specific_help = SpecificHelp() >>> specific_help.matches('help foo') True >>> specific_help.matches(' help foo ') True Accept just one parameter for now >>> specific_help.matches('help foo bar') False"""
parts = expression.split()
if ... | the_stack_v2_python_sparse | placidity/part9/placidity/placidity/commands/specifichelp/specifichelp.py | bebraw/nixtu | train | 0 | |
a8c55b3ddd7df48597f06f47a0b647cc95e6dfdb | [
"pygame.sprite.Sprite.__init__(self)\nsprite_sheet = SpriteSheet('Golem.png')\nimage = sprite_sheet.get_image(262, 471, 272, 47)\nself.image = image\nself.rect = self.image.get_rect()\nself.rect.x = 400\nself.rect.y = -47\nself.change_y = 0\nself.bounce = 0\nself.count = 0\nself.beginCount = False",
"if self.rect... | <|body_start_0|>
pygame.sprite.Sprite.__init__(self)
sprite_sheet = SpriteSheet('Golem.png')
image = sprite_sheet.get_image(262, 471, 272, 47)
self.image = image
self.rect = self.image.get_rect()
self.rect.x = 400
self.rect.y = -47
self.change_y = 0
... | win | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class win:
def __init__(self):
"""This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.x: The x-position of the sprite ... | stack_v2_sparse_classes_75kplus_train_069442 | 2,788 | no_license | [
{
"docstring": "This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.x: The x-position of the sprite self.rect.y: The y-position of the s... | 2 | stack_v2_sparse_classes_30k_train_010085 | Implement the Python class `win` described below.
Class description:
Implement the win class.
Method signatures and docstrings:
- def __init__(self): This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represen... | Implement the Python class `win` described below.
Class description:
Implement the win class.
Method signatures and docstrings:
- def __init__(self): This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represen... | 56fbcfc786dfc373f477270468f06e31b6271749 | <|skeleton|>
class win:
def __init__(self):
"""This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.x: The x-position of the sprite ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class win:
def __init__(self):
"""This initializes the boss Variables: sprite_sheet: The spritesheet to where the custom sprites came from image: Holds the custom self.image: The sprite used to represent self.rect: This creates the shape of the sprite self.rect.x: The x-position of the sprite self.rect.y: T... | the_stack_v2_python_sparse | Doki Doki Island/winning.py | cashpop5000/DokiProject | train | 0 | |
7678c0146afcfe24fad1401d4474d098fa05d29c | [
"super(SourceDatasetSearchForm, self).__init__(*args, **kwargs)\nself.helper = FormHelper(self)\nself.helper.form_method = 'get'\nself.helper.form_class = 'form-horizontal'\nself.helper.label_class = 'col-sm-2'\nself.helper.field_class = 'col-sm-10'\nself.helper.layout = Layout(Row(Div(name_checkbox_layout, 'descri... | <|body_start_0|>
super(SourceDatasetSearchForm, self).__init__(*args, **kwargs)
self.helper = FormHelper(self)
self.helper.form_method = 'get'
self.helper.form_class = 'form-horizontal'
self.helper.label_class = 'col-sm-2'
self.helper.field_class = 'col-sm-10'
sel... | Form to handle django-watson searches for SourceDataset objects. | SourceDatasetSearchForm | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SourceDatasetSearchForm:
"""Form to handle django-watson searches for SourceDataset objects."""
def __init__(self, *args, **kwargs):
"""Initialize form with formatting and submit button."""
<|body_0|>
def clean(self):
"""Perform additional multi-field cleaning to... | stack_v2_sparse_classes_75kplus_train_069443 | 19,577 | permissive | [
{
"docstring": "Initialize form with formatting and submit button.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Perform additional multi-field cleaning to make sure that either description or name is entered.",
"name": "clean",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_037797 | Implement the Python class `SourceDatasetSearchForm` described below.
Class description:
Form to handle django-watson searches for SourceDataset objects.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize form with formatting and submit button.
- def clean(self): Perform additional mu... | Implement the Python class `SourceDatasetSearchForm` described below.
Class description:
Form to handle django-watson searches for SourceDataset objects.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Initialize form with formatting and submit button.
- def clean(self): Perform additional mu... | 89ae277f5ba1357580d78c3527f26200686308a6 | <|skeleton|>
class SourceDatasetSearchForm:
"""Form to handle django-watson searches for SourceDataset objects."""
def __init__(self, *args, **kwargs):
"""Initialize form with formatting and submit button."""
<|body_0|>
def clean(self):
"""Perform additional multi-field cleaning to... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SourceDatasetSearchForm:
"""Form to handle django-watson searches for SourceDataset objects."""
def __init__(self, *args, **kwargs):
"""Initialize form with formatting and submit button."""
super(SourceDatasetSearchForm, self).__init__(*args, **kwargs)
self.helper = FormHelper(sel... | the_stack_v2_python_sparse | trait_browser/forms.py | UW-GAC/pie | train | 0 |
066e8d594f796f6fd355e45ad629baa9d50f38d9 | [
"d = collections.defaultdict(int)\nd[0] = 1\nsum = 0\nans = 0\nfor n in nums:\n sum += n\n if sum - k in d:\n ans += d[sum - k]\n d[sum] += 1\nreturn ans",
"d = {0: 1}\nsum, ans = (0, 0)\nfor n in nums:\n sum += n\n if sum - k in d:\n ans += d[sum - k]\n if sum in d:\n d[sum... | <|body_start_0|>
d = collections.defaultdict(int)
d[0] = 1
sum = 0
ans = 0
for n in nums:
sum += n
if sum - k in d:
ans += d[sum - k]
d[sum] += 1
return ans
<|end_body_0|>
<|body_start_1|>
d = {0: 1}
sum... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def subarraySum1(self, nums, k):
""":type nums: List[int] :type k: int :rtype: int"""
<|body_0|>
def subarraySum(self, nums, k):
""":type nums: List[int] :type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
d = collecti... | stack_v2_sparse_classes_75kplus_train_069444 | 984 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: int",
"name": "subarraySum1",
"signature": "def subarraySum1(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: int",
"name": "subarraySum",
"signature": "def subarraySum(self, nums, k)"
}
] | 2 | stack_v2_sparse_classes_30k_train_023437 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraySum1(self, nums, k): :type nums: List[int] :type k: int :rtype: int
- def subarraySum(self, nums, k): :type nums: List[int] :type k: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def subarraySum1(self, nums, k): :type nums: List[int] :type k: int :rtype: int
- def subarraySum(self, nums, k): :type nums: List[int] :type k: int :rtype: int
<|skeleton|>
cla... | 763674fcbe271af3d21eed790c3968c4d33f7b09 | <|skeleton|>
class Solution:
def subarraySum1(self, nums, k):
""":type nums: List[int] :type k: int :rtype: int"""
<|body_0|>
def subarraySum(self, nums, k):
""":type nums: List[int] :type k: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def subarraySum1(self, nums, k):
""":type nums: List[int] :type k: int :rtype: int"""
d = collections.defaultdict(int)
d[0] = 1
sum = 0
ans = 0
for n in nums:
sum += n
if sum - k in d:
ans += d[sum - k]
... | the_stack_v2_python_sparse | 560_subarray_sum_equals_k/560.py | guzhoudiaoke/leetcode_python3 | train | 0 | |
614db3036f2f7ed0a3f09ba39e0b907fe1057a86 | [
"self.attr_dict = {}\nfor key, val in attr_dict.iteritems():\n self.attr_dict[key] = list(val)",
"try:\n newlist = [x for x in self.attr_dict[attr]]\n return newlist\nexcept KeyError:\n return []",
"try:\n self.attr_dict[attr].remove(user)\nexcept ValueError:\n pass\nexcept KeyError:\n pass... | <|body_start_0|>
self.attr_dict = {}
for key, val in attr_dict.iteritems():
self.attr_dict[key] = list(val)
<|end_body_0|>
<|body_start_1|>
try:
newlist = [x for x in self.attr_dict[attr]]
return newlist
except KeyError:
return []
<|end_bo... | Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users. | LocalAttrUserMap | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocalAttrUserMap:
"""Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users."""
def __init__(self, attr_dict):
"""Initialize the attribute-to-user map ... | stack_v2_sparse_classes_75kplus_train_069445 | 3,573 | permissive | [
{
"docstring": "Initialize the attribute-to-user map with a provided dictionary.",
"name": "__init__",
"signature": "def __init__(self, attr_dict)"
},
{
"docstring": "Return the list of all users who are currently authorized to read data with the given attribute. Arguments: attr : string - the a... | 3 | stack_v2_sparse_classes_30k_train_051207 | Implement the Python class `LocalAttrUserMap` described below.
Class description:
Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users.
Method signatures and docstrings:
- def __init_... | Implement the Python class `LocalAttrUserMap` described below.
Class description:
Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users.
Method signatures and docstrings:
- def __init_... | eb61250886e51647bd1edb6d8f4fa7f83eb0bc81 | <|skeleton|>
class LocalAttrUserMap:
"""Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users."""
def __init__(self, attr_dict):
"""Initialize the attribute-to-user map ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocalAttrUserMap:
"""Simple attribute store that references a static dictionary passed in at initialization. Fields: attr_dict : {string -> [string]} - a dictionary mapping attribute strings to lists of users."""
def __init__(self, attr_dict):
"""Initialize the attribute-to-user map with a provid... | the_stack_v2_python_sparse | pace/pki/attrusermap.py | Global-localhost/PACE-python | train | 0 |
5f668d66c245ee150a4b78534839dc3a55f76cfa | [
"try:\n args = parser.parse_args()\n action = args['action']\n if action == 'rescan':\n DBSubdomainResult.delete_by_tid(tid)\n DBSubdomainTask.update_by_id(tid, {'date': int(time.time()), 'status': 'waiting', 'end_date': 0})\n cid = t_subdomain_task.delay(tid)\n DBSubdomainTask.... | <|body_start_0|>
try:
args = parser.parse_args()
action = args['action']
if action == 'rescan':
DBSubdomainResult.delete_by_tid(tid)
DBSubdomainTask.update_by_id(tid, {'date': int(time.time()), 'status': 'waiting', 'end_date': 0})
... | SubdomainTaskManageV1 | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubdomainTaskManageV1:
def put(self, tid):
"""task rescan"""
<|body_0|>
def delete(self, tid):
"""delete task by task_id DELETE /api/v1/discovery/subdomain/task/<tid> :param tid: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
try:
... | stack_v2_sparse_classes_75kplus_train_069446 | 8,221 | permissive | [
{
"docstring": "task rescan",
"name": "put",
"signature": "def put(self, tid)"
},
{
"docstring": "delete task by task_id DELETE /api/v1/discovery/subdomain/task/<tid> :param tid: :return:",
"name": "delete",
"signature": "def delete(self, tid)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010508 | Implement the Python class `SubdomainTaskManageV1` described below.
Class description:
Implement the SubdomainTaskManageV1 class.
Method signatures and docstrings:
- def put(self, tid): task rescan
- def delete(self, tid): delete task by task_id DELETE /api/v1/discovery/subdomain/task/<tid> :param tid: :return: | Implement the Python class `SubdomainTaskManageV1` described below.
Class description:
Implement the SubdomainTaskManageV1 class.
Method signatures and docstrings:
- def put(self, tid): task rescan
- def delete(self, tid): delete task by task_id DELETE /api/v1/discovery/subdomain/task/<tid> :param tid: :return:
<|sk... | fadb1136b8896fe2a0f7783627bda867d5e6fd98 | <|skeleton|>
class SubdomainTaskManageV1:
def put(self, tid):
"""task rescan"""
<|body_0|>
def delete(self, tid):
"""delete task by task_id DELETE /api/v1/discovery/subdomain/task/<tid> :param tid: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SubdomainTaskManageV1:
def put(self, tid):
"""task rescan"""
try:
args = parser.parse_args()
action = args['action']
if action == 'rescan':
DBSubdomainResult.delete_by_tid(tid)
DBSubdomainTask.update_by_id(tid, {'date': int(ti... | the_stack_v2_python_sparse | fuxi/web/api/discovery/subdomain_api.py | Solotov/fuxi | train | 0 | |
67c3136048229d5169497fbaefa6e09455fa5af5 | [
"goalking_qs = GoalKing.objects.by_season(season).select_related('member__user')\ngoalking_list = [x for x in goalking_qs if x.total_goals > 0]\nif len(goalking_list) > 0:\n m_list = [x for x in goalking_list if x.member.gender == Member.GENDER.Male]\n l_list = [x for x in goalking_list if x.member.gender == ... | <|body_start_0|>
goalking_qs = GoalKing.objects.by_season(season).select_related('member__user')
goalking_list = [x for x in goalking_qs if x.total_goals > 0]
if len(goalking_list) > 0:
m_list = [x for x in goalking_list if x.member.gender == Member.GENDER.Male]
l_list = ... | Provides useful methods for GoalKing related views | GoalKingMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GoalKingMixin:
"""Provides useful methods for GoalKing related views"""
def get_goalking_list(self, season):
"""Returns a list of GoalKing items for the specified season"""
<|body_0|>
def apply_ranking(self, goalking_list):
"""Adds a rank attribute to each GoalKi... | stack_v2_sparse_classes_75kplus_train_069447 | 21,351 | no_license | [
{
"docstring": "Returns a list of GoalKing items for the specified season",
"name": "get_goalking_list",
"signature": "def get_goalking_list(self, season)"
},
{
"docstring": "Adds a rank attribute to each GoalKing instance in the given list based on the total number of goals scored by that perso... | 2 | stack_v2_sparse_classes_30k_train_011443 | Implement the Python class `GoalKingMixin` described below.
Class description:
Provides useful methods for GoalKing related views
Method signatures and docstrings:
- def get_goalking_list(self, season): Returns a list of GoalKing items for the specified season
- def apply_ranking(self, goalking_list): Adds a rank att... | Implement the Python class `GoalKingMixin` described below.
Class description:
Provides useful methods for GoalKing related views
Method signatures and docstrings:
- def get_goalking_list(self, season): Returns a list of GoalKing items for the specified season
- def apply_ranking(self, goalking_list): Adds a rank att... | f38e1984064bdf81f05b86f4650824dd28946c19 | <|skeleton|>
class GoalKingMixin:
"""Provides useful methods for GoalKing related views"""
def get_goalking_list(self, season):
"""Returns a list of GoalKing items for the specified season"""
<|body_0|>
def apply_ranking(self, goalking_list):
"""Adds a rank attribute to each GoalKi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GoalKingMixin:
"""Provides useful methods for GoalKing related views"""
def get_goalking_list(self, season):
"""Returns a list of GoalKing items for the specified season"""
goalking_qs = GoalKing.objects.by_season(season).select_related('member__user')
goalking_list = [x for x in ... | the_stack_v2_python_sparse | cshcsite/matches/views.py | cshc/cshc_website | train | 2 |
4ab7d129b91ba68b9da6fe093a628e80d0e7d202 | [
"def find_path(node: TreeNode, target: TreeNode, path: List[TreeNode]) -> bool:\n \"\"\"Find the path to the specified node.\"\"\"\n if not node:\n return False\n path.append(node)\n if node == target:\n return True\n if find_path(node.left, target, path) or find_path(node.right, target... | <|body_start_0|>
def find_path(node: TreeNode, target: TreeNode, path: List[TreeNode]) -> bool:
"""Find the path to the specified node."""
if not node:
return False
path.append(node)
if node == target:
return True
if fin... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode:
"""By finding paths from root to p and from root to q. Need to traverse the tree twice. Complexity: O(n) x 2"""
<|body_0|>
def lowestCommonAncestor_v2(self, root: TreeNode, p: ... | stack_v2_sparse_classes_75kplus_train_069448 | 5,303 | no_license | [
{
"docstring": "By finding paths from root to p and from root to q. Need to traverse the tree twice. Complexity: O(n) x 2",
"name": "lowestCommonAncestor_v1",
"signature": "def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode"
},
{
"docstring": "Use one travers... | 3 | stack_v2_sparse_classes_30k_test_002208 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode: By finding paths from root to p and from root to q. Need to traverse the tree twice. Comp... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode: By finding paths from root to p and from root to q. Need to traverse the tree twice. Comp... | 97a2386f5e3adbd7138fd123810c3232bdf7f622 | <|skeleton|>
class Solution:
def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode:
"""By finding paths from root to p and from root to q. Need to traverse the tree twice. Complexity: O(n) x 2"""
<|body_0|>
def lowestCommonAncestor_v2(self, root: TreeNode, p: ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def lowestCommonAncestor_v1(self, root: TreeNode, p: TreeNode, q: TreeNode) -> TreeNode:
"""By finding paths from root to p and from root to q. Need to traverse the tree twice. Complexity: O(n) x 2"""
def find_path(node: TreeNode, target: TreeNode, path: List[TreeNode]) -> bool:
... | the_stack_v2_python_sparse | python3/trees_and_graphs/lowest_common_ancestor_binary_tree.py | victorchu/algorithms | train | 0 | |
cca133a86e81e27e073a4969da73d6a2d35bbc39 | [
"pulls_list = {'number': 79, 'created_at': '2018-08-12T05:31:14Z', 'state': 'open'}\nmock_res = PullsTest.MockRes(pulls_list, 200)\ntype(mock_response).return_value = mock.PropertyMock(return_value=mock_res)\ntype(mock_get).return_value = mock.PropertyMock(return_value=type(mock_response).return_value)\nfreezer = f... | <|body_start_0|>
pulls_list = {'number': 79, 'created_at': '2018-08-12T05:31:14Z', 'state': 'open'}
mock_res = PullsTest.MockRes(pulls_list, 200)
type(mock_response).return_value = mock.PropertyMock(return_value=mock_res)
type(mock_get).return_value = mock.PropertyMock(return_value=type(... | Test for Repository class inside repository package | PullsTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PullsTest:
"""Test for Repository class inside repository package"""
def test_created_time(self, mock_get, mock_response):
"""Test for pulls class inside pulls package"""
<|body_0|>
def test_closed_pull_request_time(self, mock_get, mock_response):
"""Test for pul... | stack_v2_sparse_classes_75kplus_train_069449 | 4,498 | no_license | [
{
"docstring": "Test for pulls class inside pulls package",
"name": "test_created_time",
"signature": "def test_created_time(self, mock_get, mock_response)"
},
{
"docstring": "Test for pulls class inside pulls package",
"name": "test_closed_pull_request_time",
"signature": "def test_clos... | 4 | stack_v2_sparse_classes_30k_train_024687 | Implement the Python class `PullsTest` described below.
Class description:
Test for Repository class inside repository package
Method signatures and docstrings:
- def test_created_time(self, mock_get, mock_response): Test for pulls class inside pulls package
- def test_closed_pull_request_time(self, mock_get, mock_re... | Implement the Python class `PullsTest` described below.
Class description:
Test for Repository class inside repository package
Method signatures and docstrings:
- def test_created_time(self, mock_get, mock_response): Test for pulls class inside pulls package
- def test_closed_pull_request_time(self, mock_get, mock_re... | 4b31f2c7d87c3ad15c7ab8b71a94abdada1faf63 | <|skeleton|>
class PullsTest:
"""Test for Repository class inside repository package"""
def test_created_time(self, mock_get, mock_response):
"""Test for pulls class inside pulls package"""
<|body_0|>
def test_closed_pull_request_time(self, mock_get, mock_response):
"""Test for pul... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PullsTest:
"""Test for Repository class inside repository package"""
def test_created_time(self, mock_get, mock_response):
"""Test for pulls class inside pulls package"""
pulls_list = {'number': 79, 'created_at': '2018-08-12T05:31:14Z', 'state': 'open'}
mock_res = PullsTest.MockRe... | the_stack_v2_python_sparse | unit_test/pulls_test.py | iamthebj/GitPred | train | 0 |
e0c7cdf2a0e61f20341632eb84be7f031633a20f | [
"extension_path = os.path.join(util.GetUnittestDataDir(), 'foo')\noptions = options_for_unittests.GetCopy()\nself.assertRaises(extension_to_load.ExtensionPathNonExistentException, lambda: extension_to_load.ExtensionToLoad(extension_path, options.browser_type))",
"extension_path = os.path.join(util.GetUnittestData... | <|body_start_0|>
extension_path = os.path.join(util.GetUnittestDataDir(), 'foo')
options = options_for_unittests.GetCopy()
self.assertRaises(extension_to_load.ExtensionPathNonExistentException, lambda: extension_to_load.ExtensionToLoad(extension_path, options.browser_type))
<|end_body_0|>
<|bod... | NonExistentExtensionTest | [
"LGPL-2.0-or-later",
"GPL-1.0-or-later",
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NonExistentExtensionTest:
def testNonExistentExtensionPath(self):
"""Test that a non-existent extension path will raise an exception."""
<|body_0|>
def testExtensionNotLoaded(self):
"""Querying an extension that was not loaded will return None"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus_train_069450 | 9,822 | permissive | [
{
"docstring": "Test that a non-existent extension path will raise an exception.",
"name": "testNonExistentExtensionPath",
"signature": "def testNonExistentExtensionPath(self)"
},
{
"docstring": "Querying an extension that was not loaded will return None",
"name": "testExtensionNotLoaded",
... | 2 | stack_v2_sparse_classes_30k_train_008601 | Implement the Python class `NonExistentExtensionTest` described below.
Class description:
Implement the NonExistentExtensionTest class.
Method signatures and docstrings:
- def testNonExistentExtensionPath(self): Test that a non-existent extension path will raise an exception.
- def testExtensionNotLoaded(self): Query... | Implement the Python class `NonExistentExtensionTest` described below.
Class description:
Implement the NonExistentExtensionTest class.
Method signatures and docstrings:
- def testNonExistentExtensionPath(self): Test that a non-existent extension path will raise an exception.
- def testExtensionNotLoaded(self): Query... | 72a05af97787001756bae2511b7985e61498c965 | <|skeleton|>
class NonExistentExtensionTest:
def testNonExistentExtensionPath(self):
"""Test that a non-existent extension path will raise an exception."""
<|body_0|>
def testExtensionNotLoaded(self):
"""Querying an extension that was not loaded will return None"""
<|body_1|>
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NonExistentExtensionTest:
def testNonExistentExtensionPath(self):
"""Test that a non-existent extension path will raise an exception."""
extension_path = os.path.join(util.GetUnittestDataDir(), 'foo')
options = options_for_unittests.GetCopy()
self.assertRaises(extension_to_load... | the_stack_v2_python_sparse | third_party/catapult/telemetry/telemetry/internal/browser/extension_unittest.py | metux/chromium-suckless | train | 5 | |
0988a6e211cfd507eaa61f54490f69a41abb7fb7 | [
"children = self.children\ninner = [e for e in children if e.tag != 'office:change-info']\nif no_header:\n new_inner = []\n for element in inner:\n if element.tag == 'text:h':\n children = element.children\n text = element.text\n para = Element.from_tag('text:p')\n ... | <|body_start_0|>
children = self.children
inner = [e for e in children if e.tag != 'office:change-info']
if no_header:
new_inner = []
for element in inner:
if element.tag == 'text:h':
children = element.children
text... | The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The TextDeletion element may also contain content that was deleted while change tra... | TextDeletion | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TextDeletion:
"""The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The TextDeletion element may also contain c... | stack_v2_sparse_classes_75kplus_train_069451 | 21,593 | permissive | [
{
"docstring": "Get the deleted informations stored in the TextDeletion. If as_text is True: returns the text content. If no_header is True: existing Heading are changed in Paragraph Arguments: as_text -- boolean no_header -- boolean Return: Paragraph and Header list",
"name": "get_deleted",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_048253 | Implement the Python class `TextDeletion` described below.
Class description:
The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The ... | Implement the Python class `TextDeletion` described below.
Class description:
The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The ... | 41554a07965af70cacc023a9a0a73c25b42d25a2 | <|skeleton|>
class TextDeletion:
"""The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The TextDeletion element may also contain c... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TextDeletion:
"""The TextDeletion "text:deletion" contains information that identifies the person responsible for a deletion and the date of that deletion. This information may also contain one or more Paragraph which contains a comment on the deletion. The TextDeletion element may also contain content that w... | the_stack_v2_python_sparse | odfdo/tracked_changes.py | jdum/odfdo | train | 30 |
3e3c4d72bbb3565e5655c6115ed64d7e84bdb1d1 | [
"cache = getattr(self, MEMOIZE_CACHE_PROPERTY_NAME, {})\nif kwargs:\n keys = set(kwargs.keys())\nelse:\n keys = set(cache.keys())\nfor key in keys:\n cache.pop(key, None)\nreturn self",
"cache = getattr(self, MEMOIZE_CACHE_PROPERTY_NAME, {})\nsetattr(self, MEMOIZE_CACHE_PROPERTY_NAME, cache)\ncache.updat... | <|body_start_0|>
cache = getattr(self, MEMOIZE_CACHE_PROPERTY_NAME, {})
if kwargs:
keys = set(kwargs.keys())
else:
keys = set(cache.keys())
for key in keys:
cache.pop(key, None)
return self
<|end_body_0|>
<|body_start_1|>
cache = getat... | MemoizeMixin | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MemoizeMixin:
def clear_cache(self, **kwargs):
"""Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clears the cache for those named args. The value of passed named arg is irrelevant, as only the arg name ... | stack_v2_sparse_classes_75kplus_train_069452 | 4,724 | permissive | [
{
"docstring": "Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clears the cache for those named args. The value of passed named arg is irrelevant, as only the arg name is used. Self is returned for ease of chaining. Example:: ... | 2 | stack_v2_sparse_classes_30k_test_001435 | Implement the Python class `MemoizeMixin` described below.
Class description:
Implement the MemoizeMixin class.
Method signatures and docstrings:
- def clear_cache(self, **kwargs): Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clea... | Implement the Python class `MemoizeMixin` described below.
Class description:
Implement the MemoizeMixin class.
Method signatures and docstrings:
- def clear_cache(self, **kwargs): Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clea... | 550b90a303c880ae8c3dfd2801dc4f991a969f89 | <|skeleton|>
class MemoizeMixin:
def clear_cache(self, **kwargs):
"""Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clears the cache for those named args. The value of passed named arg is irrelevant, as only the arg name ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MemoizeMixin:
def clear_cache(self, **kwargs):
"""Allows to clear all or part of memoize cache on the object If called with no args, clears all cache. If passed with some named args, clears the cache for those named args. The value of passed named arg is irrelevant, as only the arg name is used. Self ... | the_stack_v2_python_sparse | common/memoize.py | panoramichq/data-collection-fb | train | 0 | |
004d0f006394d247fdc47d69ef759bc8ee95c919 | [
"if name == 't2_file':\n return self.inputs.t1_file\nreturn None",
"if name == 't2_file' and (not os.path.isfile(value)):\n print('Using T1 as T2 file')\n value = self.inputs.t1_file\nreturn super(LOGISMOSB, self)._format_arg(name, spec, value)",
"outputs = self.output_spec().get()\noutputs['gmsurface_... | <|body_start_0|>
if name == 't2_file':
return self.inputs.t1_file
return None
<|end_body_0|>
<|body_start_1|>
if name == 't2_file' and (not os.path.isfile(value)):
print('Using T1 as T2 file')
value = self.inputs.t1_file
return super(LOGISMOSB, self).... | This class represents a... :param CommandLine: | LOGISMOSB | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LOGISMOSB:
"""This class represents a... :param CommandLine:"""
def _gen_filename(self, name):
"""This function... :param name: :return:"""
<|body_0|>
def _format_arg(self, name, spec, value):
"""This function... :param name: :param spec: :param value: :return:""... | stack_v2_sparse_classes_75kplus_train_069453 | 34,847 | permissive | [
{
"docstring": "This function... :param name: :return:",
"name": "_gen_filename",
"signature": "def _gen_filename(self, name)"
},
{
"docstring": "This function... :param name: :param spec: :param value: :return:",
"name": "_format_arg",
"signature": "def _format_arg(self, name, spec, val... | 3 | stack_v2_sparse_classes_30k_train_038307 | Implement the Python class `LOGISMOSB` described below.
Class description:
This class represents a... :param CommandLine:
Method signatures and docstrings:
- def _gen_filename(self, name): This function... :param name: :return:
- def _format_arg(self, name, spec, value): This function... :param name: :param spec: :pa... | Implement the Python class `LOGISMOSB` described below.
Class description:
This class represents a... :param CommandLine:
Method signatures and docstrings:
- def _gen_filename(self, name): This function... :param name: :return:
- def _format_arg(self, name, spec, value): This function... :param name: :param spec: :pa... | 64bb590918a188b660225e44ae54c1072f3a8056 | <|skeleton|>
class LOGISMOSB:
"""This class represents a... :param CommandLine:"""
def _gen_filename(self, name):
"""This function... :param name: :return:"""
<|body_0|>
def _format_arg(self, name, spec, value):
"""This function... :param name: :param spec: :param value: :return:""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LOGISMOSB:
"""This class represents a... :param CommandLine:"""
def _gen_filename(self, name):
"""This function... :param name: :return:"""
if name == 't2_file':
return self.inputs.t1_file
return None
def _format_arg(self, name, spec, value):
"""This funct... | the_stack_v2_python_sparse | AutoWorkup/logismosb/interfaces.py | BRAINSia/BRAINSTools | train | 101 |
2c64fb78ad805b701d465dd3af7b7d3f5f16840f | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn UnifiedRoleAssignmentScheduleInstance()",
"from .unified_role_eligibility_schedule_instance import UnifiedRoleEligibilityScheduleInstance\nfrom .unified_role_schedule_instance_base import UnifiedRoleScheduleInstanceBase\nfrom .unified_... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return UnifiedRoleAssignmentScheduleInstance()
<|end_body_0|>
<|body_start_1|>
from .unified_role_eligibility_schedule_instance import UnifiedRoleEligibilityScheduleInstance
from .unified_role_... | UnifiedRoleAssignmentScheduleInstance | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnifiedRoleAssignmentScheduleInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleAssignmentScheduleInstance:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the d... | stack_v2_sparse_classes_75kplus_train_069454 | 4,830 | 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: UnifiedRoleAssignmentScheduleInstance",
"name": "create_from_discriminator_value",
"signature": "def create_... | 3 | null | Implement the Python class `UnifiedRoleAssignmentScheduleInstance` described below.
Class description:
Implement the UnifiedRoleAssignmentScheduleInstance class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleAssignmentScheduleInstance: Crea... | Implement the Python class `UnifiedRoleAssignmentScheduleInstance` described below.
Class description:
Implement the UnifiedRoleAssignmentScheduleInstance class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleAssignmentScheduleInstance: Crea... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class UnifiedRoleAssignmentScheduleInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleAssignmentScheduleInstance:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnifiedRoleAssignmentScheduleInstance:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> UnifiedRoleAssignmentScheduleInstance:
"""Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The parse node to use to read the discriminator v... | the_stack_v2_python_sparse | msgraph/generated/models/unified_role_assignment_schedule_instance.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
3e79601fb9582a89895752f4851208bac731fa8c | [
"allow_speech_tags = [as_text(item) for item in allow_speech_tags]\nself.default_speech_tag_filter = allow_speech_tags\nself.stop_words = set()\nself.stop_words_file = stopwords_path\nif type(stop_words_file) is str:\n self.stop_words_file = stop_words_file\nfor word in codecs.open(self.stop_words_file, 'r', 'ut... | <|body_start_0|>
allow_speech_tags = [as_text(item) for item in allow_speech_tags]
self.default_speech_tag_filter = allow_speech_tags
self.stop_words = set()
self.stop_words_file = stopwords_path
if type(stop_words_file) is str:
self.stop_words_file = stop_words_file
... | WordSegmentation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordSegmentation:
def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz']):
"""Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一个停止词。若不是str类型，则使用默认的停止词 allow_speech_tags -- 词性列表，用于过滤"""
<|body_0|>
def segment(self, text,... | stack_v2_sparse_classes_75kplus_train_069455 | 20,624 | no_license | [
{
"docstring": "Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一个停止词。若不是str类型，则使用默认的停止词 allow_speech_tags -- 词性列表，用于过滤",
"name": "__init__",
"signature": "def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz'])"
},
{
"docstring": "对一段文本进行分... | 3 | stack_v2_sparse_classes_30k_train_016083 | Implement the Python class `WordSegmentation` described below.
Class description:
Implement the WordSegmentation class.
Method signatures and docstrings:
- def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz']): Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一... | Implement the Python class `WordSegmentation` described below.
Class description:
Implement the WordSegmentation class.
Method signatures and docstrings:
- def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz']): Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一... | ca2cf55b4dbae09a3c85689c8dae104908060c86 | <|skeleton|>
class WordSegmentation:
def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz']):
"""Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一个停止词。若不是str类型，则使用默认的停止词 allow_speech_tags -- 词性列表，用于过滤"""
<|body_0|>
def segment(self, text,... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WordSegmentation:
def __init__(self, stop_words_file=None, allow_speech_tags=['an', 'n', 'nt', 'x', 'eng', 'nt', 'nz']):
"""Keyword arguments: stop_words_file -- 保存停止词的文件路径，utf8编码，每行一个停止词。若不是str类型，则使用默认的停止词 allow_speech_tags -- 词性列表，用于过滤"""
allow_speech_tags = [as_text(item) for item in allow_... | the_stack_v2_python_sparse | owner/吴伟/keyword_extraction.py | dxcv/GsEnv | train | 0 | |
38735aec69e6aa4a51dbe460794c1d320df3b1ea | [
"n = len(self)\nif n != len(src):\n raise IndexError()\nfor i in range(0, n):\n self[i] = src[i]\nreturn self",
"n = len(self)\nif n != len(dst):\n raise IndexError()\nfor i in range(0, n):\n dst[i] = self[i]\nreturn self"
] | <|body_start_0|>
n = len(self)
if n != len(src):
raise IndexError()
for i in range(0, n):
self[i] = src[i]
return self
<|end_body_0|>
<|body_start_1|>
n = len(self)
if n != len(dst):
raise IndexError()
for i in range(0, n):
... | Copy Elements mixin. | CopyEltsMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CopyEltsMixin:
"""Copy Elements mixin."""
def copy_from(self, src):
"""Copy elements from src to self"""
<|body_0|>
def copy_to(self, dst):
"""Copy elements from self to dst"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
n = len(self)
i... | stack_v2_sparse_classes_75kplus_train_069456 | 3,660 | permissive | [
{
"docstring": "Copy elements from src to self",
"name": "copy_from",
"signature": "def copy_from(self, src)"
},
{
"docstring": "Copy elements from self to dst",
"name": "copy_to",
"signature": "def copy_to(self, dst)"
}
] | 2 | null | Implement the Python class `CopyEltsMixin` described below.
Class description:
Copy Elements mixin.
Method signatures and docstrings:
- def copy_from(self, src): Copy elements from src to self
- def copy_to(self, dst): Copy elements from self to dst | Implement the Python class `CopyEltsMixin` described below.
Class description:
Copy Elements mixin.
Method signatures and docstrings:
- def copy_from(self, src): Copy elements from src to self
- def copy_to(self, dst): Copy elements from self to dst
<|skeleton|>
class CopyEltsMixin:
"""Copy Elements mixin."""
... | c4b8638ee609b62f597bd47943f2b375246b7e79 | <|skeleton|>
class CopyEltsMixin:
"""Copy Elements mixin."""
def copy_from(self, src):
"""Copy elements from src to self"""
<|body_0|>
def copy_to(self, dst):
"""Copy elements from self to dst"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CopyEltsMixin:
"""Copy Elements mixin."""
def copy_from(self, src):
"""Copy elements from src to self"""
n = len(self)
if n != len(src):
raise IndexError()
for i in range(0, n):
self[i] = src[i]
return self
def copy_to(self, dst):
... | the_stack_v2_python_sparse | python/amino/mixin.py | dyalab/amino | train | 0 |
0d0c0237816a85916e444af7d4029b518bdafe21 | [
"if clients is None:\n clients = {}\nif 'ResourceStatusClient' in clients:\n self.rsClient = clients['ResourceStatusClient']\nelse:\n self.rsClient = ResourceStatusClient()\nif 'ResourceManagementClient' in clients:\n self.rmClient = clients['ResourceManagementClient']\nelse:\n self.rmClient = Resour... | <|body_start_0|>
if clients is None:
clients = {}
if 'ResourceStatusClient' in clients:
self.rsClient = clients['ResourceStatusClient']
else:
self.rsClient = ResourceStatusClient()
if 'ResourceManagementClient' in clients:
self.rmClient = c... | PEP ( Policy Enforcement Point ) | PEP | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PEP:
"""PEP ( Policy Enforcement Point )"""
def __init__(self, clients=None):
"""Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClient' : ResourceStatusClient(), 'ClientY' : None } ) :Parame... | stack_v2_sparse_classes_75kplus_train_069457 | 6,635 | no_license | [
{
"docstring": "Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClient' : ResourceStatusClient(), 'ClientY' : None } ) :Parameters: **clients** - [ None, `dict` ] dictionary with clients to be used in the commands issue... | 3 | null | Implement the Python class `PEP` described below.
Class description:
PEP ( Policy Enforcement Point )
Method signatures and docstrings:
- def __init__(self, clients=None): Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClien... | Implement the Python class `PEP` described below.
Class description:
PEP ( Policy Enforcement Point )
Method signatures and docstrings:
- def __init__(self, clients=None): Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClien... | fdfd852c92a56192b8ee9970b66f0136e6e0afff | <|skeleton|>
class PEP:
"""PEP ( Policy Enforcement Point )"""
def __init__(self, clients=None):
"""Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClient' : ResourceStatusClient(), 'ClientY' : None } ) :Parame... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PEP:
"""PEP ( Policy Enforcement Point )"""
def __init__(self, clients=None):
"""Constructor examples: >>> pep = PEP() >>> pep1 = PEP( { 'ResourceStatusClient' : ResourceStatusClient() } ) >>> pep2 = PEP( { 'ResourceStatusClient' : ResourceStatusClient(), 'ClientY' : None } ) :Parameters: **clien... | the_stack_v2_python_sparse | src/DIRAC/ResourceStatusSystem/PolicySystem/PEP.py | bopopescu/bes3-jinr | train | 0 |
9b2b1d9295531d376d8e7c2bef15aae118a171d1 | [
"valid_ins = [(0, True), (1, False)]\ninvalid_ins = [(0, False), (1, True)]\nfor consumer_node_id, anonymous in valid_ins:\n msg = create_task_ins(consumer_node_id, anonymous, has_legacy_server_message=True)\n val_errors = validate_task_ins_or_res(msg)\n self.assertFalse(val_errors)\nfor consumer_node_id, ... | <|body_start_0|>
valid_ins = [(0, True), (1, False)]
invalid_ins = [(0, False), (1, True)]
for consumer_node_id, anonymous in valid_ins:
msg = create_task_ins(consumer_node_id, anonymous, has_legacy_server_message=True)
val_errors = validate_task_ins_or_res(msg)
... | Test validation code in state. | ValidatorTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ValidatorTest:
"""Test validation code in state."""
def test_task_ins(self) -> None:
"""Test is_valid task_ins."""
<|body_0|>
def test_is_valid_task_res(self) -> None:
"""Test is_valid task_res."""
<|body_1|>
def test_task_ins_secure_aggregation(self... | stack_v2_sparse_classes_75kplus_train_069458 | 6,215 | permissive | [
{
"docstring": "Test is_valid task_ins.",
"name": "test_task_ins",
"signature": "def test_task_ins(self) -> None"
},
{
"docstring": "Test is_valid task_res.",
"name": "test_is_valid_task_res",
"signature": "def test_is_valid_task_res(self) -> None"
},
{
"docstring": "Test is_vali... | 4 | null | Implement the Python class `ValidatorTest` described below.
Class description:
Test validation code in state.
Method signatures and docstrings:
- def test_task_ins(self) -> None: Test is_valid task_ins.
- def test_is_valid_task_res(self) -> None: Test is_valid task_res.
- def test_task_ins_secure_aggregation(self) ->... | Implement the Python class `ValidatorTest` described below.
Class description:
Test validation code in state.
Method signatures and docstrings:
- def test_task_ins(self) -> None: Test is_valid task_ins.
- def test_is_valid_task_res(self) -> None: Test is_valid task_res.
- def test_task_ins_secure_aggregation(self) ->... | 55be690535e5f3feb33c888c3e4a586b7bdbf489 | <|skeleton|>
class ValidatorTest:
"""Test validation code in state."""
def test_task_ins(self) -> None:
"""Test is_valid task_ins."""
<|body_0|>
def test_is_valid_task_res(self) -> None:
"""Test is_valid task_res."""
<|body_1|>
def test_task_ins_secure_aggregation(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ValidatorTest:
"""Test validation code in state."""
def test_task_ins(self) -> None:
"""Test is_valid task_ins."""
valid_ins = [(0, True), (1, False)]
invalid_ins = [(0, False), (1, True)]
for consumer_node_id, anonymous in valid_ins:
msg = create_task_ins(cons... | the_stack_v2_python_sparse | src/py/flwr/server/utils/validator_test.py | adap/flower | train | 2,999 |
09933c8f95b2ecb9305df7e2f59cb44424a8e78d | [
"start_urls = []\ntry:\n thing = int(input('你想爬取琉璃神社的哪类数据？请选择输入[1、动画，2、漫画，3、游戏，4、小说，5、壁纸/文章，6、全部]中的一个数字：'))\n start_urls.append(self.start_urls[thing - 1])\nexcept Exception:\n start_urls = self.start_urls\nfor url in start_urls:\n yield scrapy.Request(url=url, callback=self.parse)",
"dataPath = os.pa... | <|body_start_0|>
start_urls = []
try:
thing = int(input('你想爬取琉璃神社的哪类数据？请选择输入[1、动画，2、漫画，3、游戏，4、小说，5、壁纸/文章，6、全部]中的一个数字：'))
start_urls.append(self.start_urls[thing - 1])
except Exception:
start_urls = self.start_urls
for url in start_urls:
yie... | GlazedshrineSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GlazedshrineSpider:
def start_requests(self):
"""在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls"""
<|body_0|>
def parse_page(self, response):
"""解析分页内的数据，即依据分页url解析帖子 :param response:响应文件 :return:item's url 和url"""
<|body_1|>
def parse_rsc(self, response):
... | stack_v2_sparse_classes_75kplus_train_069459 | 7,190 | no_license | [
{
"docstring": "在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls",
"name": "start_requests",
"signature": "def start_requests(self)"
},
{
"docstring": "解析分页内的数据，即依据分页url解析帖子 :param response:响应文件 :return:item's url 和url",
"name": "parse_page",
"signature": "def parse_page(self, response)"
},
... | 3 | stack_v2_sparse_classes_30k_test_001492 | Implement the Python class `GlazedshrineSpider` described below.
Class description:
Implement the GlazedshrineSpider class.
Method signatures and docstrings:
- def start_requests(self): 在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls
- def parse_page(self, response): 解析分页内的数据，即依据分页url解析帖子 :param response:响应文件 :return:item'... | Implement the Python class `GlazedshrineSpider` described below.
Class description:
Implement the GlazedshrineSpider class.
Method signatures and docstrings:
- def start_requests(self): 在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls
- def parse_page(self, response): 解析分页内的数据，即依据分页url解析帖子 :param response:响应文件 :return:item'... | 12963cccabcd3d51d66f94711c71f8908a16f281 | <|skeleton|>
class GlazedshrineSpider:
def start_requests(self):
"""在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls"""
<|body_0|>
def parse_page(self, response):
"""解析分页内的数据，即依据分页url解析帖子 :param response:响应文件 :return:item's url 和url"""
<|body_1|>
def parse_rsc(self, response):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GlazedshrineSpider:
def start_requests(self):
"""在第一个请求开始之前，让用户选择要爬取的内容 :return:start_urls"""
start_urls = []
try:
thing = int(input('你想爬取琉璃神社的哪类数据？请选择输入[1、动画，2、漫画，3、游戏，4、小说，5、壁纸/文章，6、全部]中的一个数字：'))
start_urls.append(self.start_urls[thing - 1])
except Exc... | the_stack_v2_python_sparse | 06Shrine/Glazed_Shrine/Glazed_Shrine/spiders/GlazedShrine.py | ABBOOT/Scrapy_BackUp | train | 0 | |
641545540bcfb7496d5a8ce06bae2ef61738eee0 | [
"tp = type(e)\ntb = e.__traceback__\ntraceback_str = 'Traceback (most recent call last):\\n' + ''.join(traceback.format_tb(tb))\ntry:\n attributes = e.get_attributes()\nexcept AttributeError:\n attributes = {}\nreturn (tp.__name__, traceback_str, sy.serde.msgpack.serde._simplify(worker, attributes))",
"erro... | <|body_start_0|>
tp = type(e)
tb = e.__traceback__
traceback_str = 'Traceback (most recent call last):\n' + ''.join(traceback.format_tb(tb))
try:
attributes = e.get_attributes()
except AttributeError:
attributes = {}
return (tp.__name__, traceback_... | Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high | SendNotPermittedError | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SendNotPermittedError:
"""Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high"""
def simplify(worker: 'sy.workers.AbstractWorker', e):
"""Serialize information about an Exception which was raised to forwa... | stack_v2_sparse_classes_75kplus_train_069460 | 15,166 | permissive | [
{
"docstring": "Serialize information about an Exception which was raised to forward it",
"name": "simplify",
"signature": "def simplify(worker: 'sy.workers.AbstractWorker', e)"
},
{
"docstring": "Detail and re-raise an Exception forwarded by another worker",
"name": "detail",
"signature... | 2 | stack_v2_sparse_classes_30k_train_045249 | Implement the Python class `SendNotPermittedError` described below.
Class description:
Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high
Method signatures and docstrings:
- def simplify(worker: 'sy.workers.AbstractWorker', e): Serialize... | Implement the Python class `SendNotPermittedError` described below.
Class description:
Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high
Method signatures and docstrings:
- def simplify(worker: 'sy.workers.AbstractWorker', e): Serialize... | cc4765bed880ad38a02505834f63df39e0815328 | <|skeleton|>
class SendNotPermittedError:
"""Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high"""
def simplify(worker: 'sy.workers.AbstractWorker', e):
"""Serialize information about an Exception which was raised to forwa... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SendNotPermittedError:
"""Raised when calling send on a tensor which does not allow send to be called on it. This can happen do to sensitivity being too high"""
def simplify(worker: 'sy.workers.AbstractWorker', e):
"""Serialize information about an Exception which was raised to forward it"""
... | the_stack_v2_python_sparse | syft/exceptions.py | tudorcebere/PySyft | train | 2 |
fa94c5408410bd46a65493293b49a41bcea37d59 | [
"allowed = list(NORM_LOOKUP.keys()) + [None]\nif normalization not in allowed:\n raise ValueError(f'Illegal normalization. Got: {normalization}. Allowed: {allowed}')\nself.normalization = normalization\nself.mean = mean\nself.std = std\nself.model = model\nself.model.eval()\nweight_mat = compute_pyramid_patch_we... | <|body_start_0|>
allowed = list(NORM_LOOKUP.keys()) + [None]
if normalization not in allowed:
raise ValueError(f'Illegal normalization. Got: {normalization}. Allowed: {allowed}')
self.normalization = normalization
self.mean = mean
self.std = std
self.model = m... | Predictor | [
"MIT",
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Predictor:
def __init__(self, model: nn.Module, patch_size: Tuple[int, int], normalization: str=None, mean: np.ndarray=None, std: np.ndarray=None, device: Union[str, torch.device]='cuda') -> None:
"""Predict dense soft masks with this helper class. Includes a weight matrix that can assig... | stack_v2_sparse_classes_75kplus_train_069461 | 6,734 | permissive | [
{
"docstring": "Predict dense soft masks with this helper class. Includes a weight matrix that can assign bigger weight on pixels in center and less weight to pixels on image boundary. helps dealing with prediction artifacts on tile boundaries. Parameters ---------- model : nn.Module: nn.Module pytorch model pa... | 3 | stack_v2_sparse_classes_30k_train_048865 | Implement the Python class `Predictor` described below.
Class description:
Implement the Predictor class.
Method signatures and docstrings:
- def __init__(self, model: nn.Module, patch_size: Tuple[int, int], normalization: str=None, mean: np.ndarray=None, std: np.ndarray=None, device: Union[str, torch.device]='cuda')... | Implement the Python class `Predictor` described below.
Class description:
Implement the Predictor class.
Method signatures and docstrings:
- def __init__(self, model: nn.Module, patch_size: Tuple[int, int], normalization: str=None, mean: np.ndarray=None, std: np.ndarray=None, device: Union[str, torch.device]='cuda')... | 7f79405012eb934b419bbdba8de23f35e840ca85 | <|skeleton|>
class Predictor:
def __init__(self, model: nn.Module, patch_size: Tuple[int, int], normalization: str=None, mean: np.ndarray=None, std: np.ndarray=None, device: Union[str, torch.device]='cuda') -> None:
"""Predict dense soft masks with this helper class. Includes a weight matrix that can assig... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Predictor:
def __init__(self, model: nn.Module, patch_size: Tuple[int, int], normalization: str=None, mean: np.ndarray=None, std: np.ndarray=None, device: Union[str, torch.device]='cuda') -> None:
"""Predict dense soft masks with this helper class. Includes a weight matrix that can assign bigger weigh... | the_stack_v2_python_sparse | cellseg_models_pytorch/inference/predictor.py | okunator/cellseg_models.pytorch | train | 43 | |
042149d70a71466e13c388ab424f7e6260a4426a | [
"super(BarPlotter, self).__init__(parameter_dict)\nassert 'get_bar_data_fn' in self.parameters\nself.fig = plt.figure(frameon=False, figsize=self.parameters['figsize'])\nself.plot = self.fig.add_subplot(111)\nself.plot_surface = None\nmatplotlib.rc('font', **self.parameters['font'])",
"self._setup_plot()\nnum_col... | <|body_start_0|>
super(BarPlotter, self).__init__(parameter_dict)
assert 'get_bar_data_fn' in self.parameters
self.fig = plt.figure(frameon=False, figsize=self.parameters['figsize'])
self.plot = self.fig.add_subplot(111)
self.plot_surface = None
matplotlib.rc('font', **se... | A Plotter for generating bar plots. | BarPlotter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BarPlotter:
"""A Plotter for generating bar plots."""
def __init__(self, parameter_dict=None):
"""Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distributions for each of the actions. Typically, this will be a call... | stack_v2_sparse_classes_75kplus_train_069462 | 3,889 | permissive | [
{
"docstring": "Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distributions for each of the actions. Typically, this will be a callback from the agent, which will return some useful information about its performance. Args: parameter_dict: No... | 2 | stack_v2_sparse_classes_30k_train_008305 | Implement the Python class `BarPlotter` described below.
Class description:
A Plotter for generating bar plots.
Method signatures and docstrings:
- def __init__(self, parameter_dict=None): Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distribution... | Implement the Python class `BarPlotter` described below.
Class description:
A Plotter for generating bar plots.
Method signatures and docstrings:
- def __init__(self, parameter_dict=None): Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distribution... | 44a51d0b2d484670637bf67f80be7f1ec31d8992 | <|skeleton|>
class BarPlotter:
"""A Plotter for generating bar plots."""
def __init__(self, parameter_dict=None):
"""Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distributions for each of the actions. Typically, this will be a call... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BarPlotter:
"""A Plotter for generating bar plots."""
def __init__(self, parameter_dict=None):
"""Constructor for BarPlotter. This expects a callable 'get_bar_data_fn' in the parameters, which will return a list of distributions for each of the actions. Typically, this will be a callback from the... | the_stack_v2_python_sparse | dopamine/utils/bar_plotter.py | fmxFranky/dopamine | train | 2 |
94c4848ee9abfedf54b9bc281ac420e9cabe4e93 | [
"zero = 0\nfor i, n in enumerate(nums):\n if n == 0:\n continue\n nums[zero], nums[i] = (nums[i], nums[zero])\n zero += 1",
"snowball_size = 0\nfor i, n in enumerate(nums):\n if n == 0:\n snowball_size += 1\n else:\n nums[i], nums[i - snowball_size] = (0, n)"
] | <|body_start_0|>
zero = 0
for i, n in enumerate(nums):
if n == 0:
continue
nums[zero], nums[i] = (nums[i], nums[zero])
zero += 1
<|end_body_0|>
<|body_start_1|>
snowball_size = 0
for i, n in enumerate(nums):
if n == 0:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def move_zeroes(self, nums):
""":type nums: List[int] :rtyp"""
<|body_0|>
def move_zeroes_by_snowball(self, nums):
"""雪球计数 数值为 0 时，雪球数量加 1；数值不为 0 时，将当前位置的值赋值给第一个雪球位置, 当前位置赋值为 0"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
zero = 0
... | stack_v2_sparse_classes_75kplus_train_069463 | 1,055 | no_license | [
{
"docstring": ":type nums: List[int] :rtyp",
"name": "move_zeroes",
"signature": "def move_zeroes(self, nums)"
},
{
"docstring": "雪球计数 数值为 0 时，雪球数量加 1；数值不为 0 时，将当前位置的值赋值给第一个雪球位置, 当前位置赋值为 0",
"name": "move_zeroes_by_snowball",
"signature": "def move_zeroes_by_snowball(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007138 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def move_zeroes(self, nums): :type nums: List[int] :rtyp
- def move_zeroes_by_snowball(self, nums): 雪球计数 数值为 0 时，雪球数量加 1；数值不为 0 时，将当前位置的值赋值给第一个雪球位置, 当前位置赋值为 0 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def move_zeroes(self, nums): :type nums: List[int] :rtyp
- def move_zeroes_by_snowball(self, nums): 雪球计数 数值为 0 时，雪球数量加 1；数值不为 0 时，将当前位置的值赋值给第一个雪球位置, 当前位置赋值为 0
<|skeleton|>
class... | 2b7f4a9fefbfd358f8ff31362d60e2007641ca29 | <|skeleton|>
class Solution:
def move_zeroes(self, nums):
""":type nums: List[int] :rtyp"""
<|body_0|>
def move_zeroes_by_snowball(self, nums):
"""雪球计数 数值为 0 时，雪球数量加 1；数值不为 0 时，将当前位置的值赋值给第一个雪球位置, 当前位置赋值为 0"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def move_zeroes(self, nums):
""":type nums: List[int] :rtyp"""
zero = 0
for i, n in enumerate(nums):
if n == 0:
continue
nums[zero], nums[i] = (nums[i], nums[zero])
zero += 1
def move_zeroes_by_snowball(self, nums):
... | the_stack_v2_python_sparse | Week_01/G20190343020166/LeetCode_283_0166.py | algorithm005-class01/algorithm005-class01 | train | 27 | |
1076d1fb3cfc811e4332d35630a5fae4d2bbde7c | [
"email = request.data.get('email')\nuser = User.objects.filter(email=email).all()\nif len(user) == 0:\n return Response({'status': 'fail', 'message': 'No user with this email address.'}, status=status.HTTP_404_NOT_FOUND)\nelse:\n user = user[0]\nif user.status == User.DISABLED:\n return Response({'status':... | <|body_start_0|>
email = request.data.get('email')
user = User.objects.filter(email=email).all()
if len(user) == 0:
return Response({'status': 'fail', 'message': 'No user with this email address.'}, status=status.HTTP_404_NOT_FOUND)
else:
user = user[0]
if... | Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration file. Defaults to 30. Extends: views.APIView | ResetPasswordRequestView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResetPasswordRequestView:
"""Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration file. Defaults to 30. Extends: views.A... | stack_v2_sparse_classes_75kplus_train_069464 | 19,096 | permissive | [
{
"docstring": "Create a new reset password request. Generates a new unique key which can be used to reset a users password. Sends an email containing a password reset link to the specified user.",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
},
{
"docstring": "Check a... | 5 | stack_v2_sparse_classes_30k_train_036325 | Implement the Python class `ResetPasswordRequestView` described below.
Class description:
Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration... | Implement the Python class `ResetPasswordRequestView` described below.
Class description:
Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration... | 0db6cefc382f95acd3027c498dbfa4cfa63ea0e0 | <|skeleton|>
class ResetPasswordRequestView:
"""Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration file. Defaults to 30. Extends: views.A... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ResetPasswordRequestView:
"""Send a password reset link to a user via email Will send a password eset link if no other request has been issued in the past X minutes. Password reset links are only valid for the number of minutes specified in the configuration file. Defaults to 30. Extends: views.APIView"""
... | the_stack_v2_python_sparse | agape-core/agape/authentication/views.py | Dandresfsoto/agape-django | train | 0 |
c4d0ce26de6cf27c2bcf98233e19e12bb8b3b057 | [
"super().__init__()\nself.image = pygame.Surface([10, 10])\nself.image.fill(color)\nself.color = color\nself.rect = self.image.get_rect()\nself.rect.x = shooter.rect.centerx\nself.rect.y = shooter.rect.centery\nself.floating_point_x = shooter.rect.centerx\nself.floating_point_y = shooter.rect.centery\nx_diff = dest... | <|body_start_0|>
super().__init__()
self.image = pygame.Surface([10, 10])
self.image.fill(color)
self.color = color
self.rect = self.image.get_rect()
self.rect.x = shooter.rect.centerx
self.rect.y = shooter.rect.centery
self.floating_point_x = shooter.rect... | Classe d'une balle | Bullet | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bullet:
"""Classe d'une balle"""
def __init__(self, shooter, dest_x, dest_y, color):
"""Constructeur"""
<|body_0|>
def update(self):
"""Déplace la balle"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__()
self.image = pyga... | stack_v2_sparse_classes_75kplus_train_069465 | 1,925 | no_license | [
{
"docstring": "Constructeur",
"name": "__init__",
"signature": "def __init__(self, shooter, dest_x, dest_y, color)"
},
{
"docstring": "Déplace la balle",
"name": "update",
"signature": "def update(self)"
}
] | 2 | stack_v2_sparse_classes_30k_val_000670 | Implement the Python class `Bullet` described below.
Class description:
Classe d'une balle
Method signatures and docstrings:
- def __init__(self, shooter, dest_x, dest_y, color): Constructeur
- def update(self): Déplace la balle | Implement the Python class `Bullet` described below.
Class description:
Classe d'une balle
Method signatures and docstrings:
- def __init__(self, shooter, dest_x, dest_y, color): Constructeur
- def update(self): Déplace la balle
<|skeleton|>
class Bullet:
"""Classe d'une balle"""
def __init__(self, shooter,... | ae1b8fda418191d6bb2ad10347b5f375a8373f1b | <|skeleton|>
class Bullet:
"""Classe d'une balle"""
def __init__(self, shooter, dest_x, dest_y, color):
"""Constructeur"""
<|body_0|>
def update(self):
"""Déplace la balle"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Bullet:
"""Classe d'une balle"""
def __init__(self, shooter, dest_x, dest_y, color):
"""Constructeur"""
super().__init__()
self.image = pygame.Surface([10, 10])
self.image.fill(color)
self.color = color
self.rect = self.image.get_rect()
self.rect.x ... | the_stack_v2_python_sparse | Bullet.py | Heargo/LostColor | train | 0 |
74c3c224392f4faa857ad26e700452a81b852bb2 | [
"job_manager: 'JobManager' = self\njobs_by_id = {job.id: job for job in jobs if job.id is not None}\nfetched = job_manager.filter(id=list(jobs_by_id.keys()))\nfor api_job in fetched:\n assert api_job.id is not None and api_job._read_model is not None\n jobs_by_id[api_job.id]._refresh_from_dict(api_job._read_m... | <|body_start_0|>
job_manager: 'JobManager' = self
jobs_by_id = {job.id: job for job in jobs if job.id is not None}
fetched = job_manager.filter(id=list(jobs_by_id.keys()))
for api_job in fetched:
assert api_job.id is not None and api_job._read_model is not None
jo... | JobManagerBase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class JobManagerBase:
def bulk_refresh(self, jobs: List['Job']) -> None:
"""Refresh the list of Jobs from the latest database state"""
<|body_0|>
def wait(self, jobs: List['Job'], timeout: Optional[float]=None, poll_interval: float=1.0, return_when: str='ALL_COMPLETED') -> JobWait... | stack_v2_sparse_classes_75kplus_train_069466 | 15,182 | permissive | [
{
"docstring": "Refresh the list of Jobs from the latest database state",
"name": "bulk_refresh",
"signature": "def bulk_refresh(self, jobs: List['Job']) -> None"
},
{
"docstring": "Block and periodically refresh jobs, until either all have completed (the default) or any have completed (return_w... | 3 | null | Implement the Python class `JobManagerBase` described below.
Class description:
Implement the JobManagerBase class.
Method signatures and docstrings:
- def bulk_refresh(self, jobs: List['Job']) -> None: Refresh the list of Jobs from the latest database state
- def wait(self, jobs: List['Job'], timeout: Optional[float... | Implement the Python class `JobManagerBase` described below.
Class description:
Implement the JobManagerBase class.
Method signatures and docstrings:
- def bulk_refresh(self, jobs: List['Job']) -> None: Refresh the list of Jobs from the latest database state
- def wait(self, jobs: List['Job'], timeout: Optional[float... | 9af964d1e8994d597df391592af2015a27a34e66 | <|skeleton|>
class JobManagerBase:
def bulk_refresh(self, jobs: List['Job']) -> None:
"""Refresh the list of Jobs from the latest database state"""
<|body_0|>
def wait(self, jobs: List['Job'], timeout: Optional[float]=None, poll_interval: float=1.0, return_when: str='ALL_COMPLETED') -> JobWait... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class JobManagerBase:
def bulk_refresh(self, jobs: List['Job']) -> None:
"""Refresh the list of Jobs from the latest database state"""
job_manager: 'JobManager' = self
jobs_by_id = {job.id: job for job in jobs if job.id is not None}
fetched = job_manager.filter(id=list(jobs_by_id.key... | the_stack_v2_python_sparse | balsam/_api/bases.py | jtchilders/balsam | train | 0 | |
94181f1ac2d5aebad128ad24d09ea366d55a2e84 | [
"self.rounds = int(rounds)\nself.filepath = filepath\nprint(filepath)\nprint('derka')\nself.all_questions = pd.read_csv(filepath, encoding='latin1')",
"aqs = self.all_questions\nunanswered = aqs[aqs['Answer'].isnull()]\nassert len(unanswered) > self.rounds, 'Not enough new questions. Hotfix: Wipe the ques... | <|body_start_0|>
self.rounds = int(rounds)
self.filepath = filepath
print(filepath)
print('derka')
self.all_questions = pd.read_csv(filepath, encoding='latin1')
<|end_body_0|>
<|body_start_1|>
aqs = self.all_questions
unanswered = aqs[aqs['Answer'].isnull()]
... | The engine for the questions. needs acess to a to a csv of questions ran from trader | qs | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class qs:
"""The engine for the questions. needs acess to a to a csv of questions ran from trader"""
def __init__(self, filepath, rounds):
"""intializes."""
<|body_0|>
def play(self):
"""Game runner. Saves and updates."""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_75kplus_train_069467 | 926 | no_license | [
{
"docstring": "intializes.",
"name": "__init__",
"signature": "def __init__(self, filepath, rounds)"
},
{
"docstring": "Game runner. Saves and updates.",
"name": "play",
"signature": "def play(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_035043 | Implement the Python class `qs` described below.
Class description:
The engine for the questions. needs acess to a to a csv of questions ran from trader
Method signatures and docstrings:
- def __init__(self, filepath, rounds): intializes.
- def play(self): Game runner. Saves and updates. | Implement the Python class `qs` described below.
Class description:
The engine for the questions. needs acess to a to a csv of questions ran from trader
Method signatures and docstrings:
- def __init__(self, filepath, rounds): intializes.
- def play(self): Game runner. Saves and updates.
<|skeleton|>
class qs:
"... | 2d69df82911f728064dd41cd223a637702c7af80 | <|skeleton|>
class qs:
"""The engine for the questions. needs acess to a to a csv of questions ran from trader"""
def __init__(self, filepath, rounds):
"""intializes."""
<|body_0|>
def play(self):
"""Game runner. Saves and updates."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class qs:
"""The engine for the questions. needs acess to a to a csv of questions ran from trader"""
def __init__(self, filepath, rounds):
"""intializes."""
self.rounds = int(rounds)
self.filepath = filepath
print(filepath)
print('derka')
self.all_questions = pd.... | the_stack_v2_python_sparse | finance/trader/question_asker.py | rorygwozdz/coding | train | 1 |
d244ece889197c6099474d8bcec2c02860ca2eb7 | [
"fileName = inspect.getsourcefile(self.parent._create_widgets)\nself.master = master\nself.title('Source Code: ' + fileName)\ntxtFrame = ttk.Frame(self)\ntxtFrame.pack(side=TOP, fill=BOTH)\ntext = tk.Text(txtFrame, height=24, width=100, wrap=WORD, setgrid=1, highlightthickness=0, pady=2, padx=3)\nyscroll = ttk.Scro... | <|body_start_0|>
fileName = inspect.getsourcefile(self.parent._create_widgets)
self.master = master
self.title('Source Code: ' + fileName)
txtFrame = ttk.Frame(self)
txtFrame.pack(side=TOP, fill=BOTH)
text = tk.Text(txtFrame, height=24, width=100, wrap=WORD, setgrid=1, hi... | Create a modal dialog to display a demo's source code file. | CodeDialog | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CodeDialog:
"""Create a modal dialog to display a demo's source code file."""
def body(self, master: tk.Tk) -> None:
"""Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons."""
<|body_0|>
def buttonbox(self) -> None:... | stack_v2_sparse_classes_75kplus_train_069468 | 4,028 | permissive | [
{
"docstring": "Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons.",
"name": "body",
"signature": "def body(self, master: tk.Tk) -> None"
},
{
"docstring": "Overrides Dialog.buttonbox() to create custom buttons for this dialog.",
"nam... | 2 | stack_v2_sparse_classes_30k_train_046230 | Implement the Python class `CodeDialog` described below.
Class description:
Create a modal dialog to display a demo's source code file.
Method signatures and docstrings:
- def body(self, master: tk.Tk) -> None: Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons... | Implement the Python class `CodeDialog` described below.
Class description:
Create a modal dialog to display a demo's source code file.
Method signatures and docstrings:
- def body(self, master: tk.Tk) -> None: Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons... | 4672c6a6faa3e8ed31f0bbc1d8c8fdee8b8f928a | <|skeleton|>
class CodeDialog:
"""Create a modal dialog to display a demo's source code file."""
def body(self, master: tk.Tk) -> None:
"""Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons."""
<|body_0|>
def buttonbox(self) -> None:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CodeDialog:
"""Create a modal dialog to display a demo's source code file."""
def body(self, master: tk.Tk) -> None:
"""Overrides Dialog.body() to populate the dialog window with a scrolled text window and custom dialog buttons."""
fileName = inspect.getsourcefile(self.parent._create_widg... | the_stack_v2_python_sparse | src/dmltk/panels.py | Yobmod/dmlmung | train | 0 |
a260e3812ae7da77973c93fb8b612373603a5b8a | [
"self.test_check_available = {}\nself.test_check_status = {}\nself.test_check_response_code = {}\nfor metric in self.metrics:\n metric.clear_overrides()",
"for metric in self.metrics:\n if metric.name == metric_name:\n return metric\nraise NameError('No metric named \"{0}\"!'.format(metric_name))",
... | <|body_start_0|>
self.test_check_available = {}
self.test_check_status = {}
self.test_check_response_code = {}
for metric in self.metrics:
metric.clear_overrides()
<|end_body_0|>
<|body_start_1|>
for metric in self.metrics:
if metric.name == metric_name:
... | Data model for a MaaS check type (e.g., remote.ping). | CheckType | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CheckType:
"""Data model for a MaaS check type (e.g., remote.ping)."""
def clear_overrides(self):
"""Clears the overrides for test-checks and metrics."""
<|body_0|>
def get_metric_by_name(self, metric_name):
"""Gets the metric on this check type. This method is u... | stack_v2_sparse_classes_75kplus_train_069469 | 37,899 | permissive | [
{
"docstring": "Clears the overrides for test-checks and metrics.",
"name": "clear_overrides",
"signature": "def clear_overrides(self)"
},
{
"docstring": "Gets the metric on this check type. This method is useful for setting and clearing overrides on the test metrics.",
"name": "get_metric_b... | 3 | stack_v2_sparse_classes_30k_train_042003 | Implement the Python class `CheckType` described below.
Class description:
Data model for a MaaS check type (e.g., remote.ping).
Method signatures and docstrings:
- def clear_overrides(self): Clears the overrides for test-checks and metrics.
- def get_metric_by_name(self, metric_name): Gets the metric on this check t... | Implement the Python class `CheckType` described below.
Class description:
Data model for a MaaS check type (e.g., remote.ping).
Method signatures and docstrings:
- def clear_overrides(self): Clears the overrides for test-checks and metrics.
- def get_metric_by_name(self, metric_name): Gets the metric on this check t... | 8e7eeed84ec5ae97863f9330023298845623c639 | <|skeleton|>
class CheckType:
"""Data model for a MaaS check type (e.g., remote.ping)."""
def clear_overrides(self):
"""Clears the overrides for test-checks and metrics."""
<|body_0|>
def get_metric_by_name(self, metric_name):
"""Gets the metric on this check type. This method is u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CheckType:
"""Data model for a MaaS check type (e.g., remote.ping)."""
def clear_overrides(self):
"""Clears the overrides for test-checks and metrics."""
self.test_check_available = {}
self.test_check_status = {}
self.test_check_response_code = {}
for metric in sel... | the_stack_v2_python_sparse | mimic/model/maas_objects.py | ranjithpeddi/mimic | train | 1 |
4e610226822ab03c14273361ca96f0330a801234 | [
"sensor = SunSensor(self.mudpi, config)\nif sensor:\n self.add_component(sensor)\nreturn True",
"if not isinstance(config, list):\n config = [config]\nfor conf in config:\n if not conf.get('key'):\n raise ConfigError('Missing `key` in sun sensor config.')\n latitude = conf.get('latitude')\n ... | <|body_start_0|>
sensor = SunSensor(self.mudpi, config)
if sensor:
self.add_component(sensor)
return True
<|end_body_0|>
<|body_start_1|>
if not isinstance(config, list):
config = [config]
for conf in config:
if not conf.get('key'):
... | Interface | [
"BSD-4-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interface:
def load(self, config):
"""Load sensor component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the sensor config"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sensor = SunSensor(self.mudpi, config)
if sensor... | stack_v2_sparse_classes_75kplus_train_069470 | 6,745 | permissive | [
{
"docstring": "Load sensor component from configs",
"name": "load",
"signature": "def load(self, config)"
},
{
"docstring": "Validate the sensor config",
"name": "validate",
"signature": "def validate(self, config)"
}
] | 2 | stack_v2_sparse_classes_30k_train_029548 | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load sensor component from configs
- def validate(self, config): Validate the sensor config | Implement the Python class `Interface` described below.
Class description:
Implement the Interface class.
Method signatures and docstrings:
- def load(self, config): Load sensor component from configs
- def validate(self, config): Validate the sensor config
<|skeleton|>
class Interface:
def load(self, config):
... | fb206b1136f529c7197f1e6b29629ed05630d377 | <|skeleton|>
class Interface:
def load(self, config):
"""Load sensor component from configs"""
<|body_0|>
def validate(self, config):
"""Validate the sensor config"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interface:
def load(self, config):
"""Load sensor component from configs"""
sensor = SunSensor(self.mudpi, config)
if sensor:
self.add_component(sensor)
return True
def validate(self, config):
"""Validate the sensor config"""
if not isinstance(c... | the_stack_v2_python_sparse | mudpi/extensions/sun/sensor.py | mistasp0ck/mudpi-core | train | 0 | |
e62e1cad1a77f3ca78c76ae643354ca8ee22cc12 | [
"d = json.loads(getattr(self, field))\nd[key] = d.get(key, 0) + 1\nsetattr(self, field, json.dumps(d))",
"d = json.loads(getattr(self, field))\nd[key] = d.get(key, 0) - 1\nsetattr(self, field, json.dumps(d))",
"self.num_games = (self.num_games or 0) + 1\nself._incr_json_field('outcomes', 'active')\nself._incr_j... | <|body_start_0|>
d = json.loads(getattr(self, field))
d[key] = d.get(key, 0) + 1
setattr(self, field, json.dumps(d))
<|end_body_0|>
<|body_start_1|>
d = json.loads(getattr(self, field))
d[key] = d.get(key, 0) - 1
setattr(self, field, json.dumps(d))
<|end_body_1|>
<|body... | Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSON string storing game counts by game language * ``first_time`` - DateTi... | User | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
"""Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSON string storing game counts by game la... | stack_v2_sparse_classes_75kplus_train_069471 | 7,142 | no_license | [
{
"docstring": "Increment the value of self.``field``[``key``] by one where ``field`` is a JSON text string. (Does not commit.)",
"name": "_incr_json_field",
"signature": "def _incr_json_field(self, field, key)"
},
{
"docstring": "Decrement the value of self.``field``[``key``] by one where ``fie... | 4 | stack_v2_sparse_classes_30k_train_027498 | Implement the Python class `User` described below.
Class description:
Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSO... | Implement the Python class `User` described below.
Class description:
Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSO... | 55871c1dd2ae9b79d82a21dd2b73746c77d0bc41 | <|skeleton|>
class User:
"""Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSON string storing game counts by game la... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class User:
"""Table ``users`` with fields: * ``user_id`` - UUID primary key of length 38 * ``user_name`` - String of maximum length 30 * ``num_games`` - Integer count of games started * ``outcomes`` - JSON string storing game counts by outcome * ``by_lang`` - JSON string storing game counts by game language * ``fi... | the_stack_v2_python_sparse | server/langman_orm.py | socratecha/frapbook-v1.0-langman | train | 2 |
20540b1c1b923160c6d7397a3cfef27f18ba1e07 | [
"if n == 0:\n return 0\ni = len(str(n))\nj = i * 10 ** i * 9\nnumlist = ''\nfor x in xrange(j):\n numlist += str(x)\nreturn int(numlist[n:n + 1])",
"m = n\nfor i in xrange(10):\n domain = 9 * 10 ** i\n if n <= domain * (i + 1):\n break\n print('{} digit has {} length number'.format(i + 1, do... | <|body_start_0|>
if n == 0:
return 0
i = len(str(n))
j = i * 10 ** i * 9
numlist = ''
for x in xrange(j):
numlist += str(x)
return int(numlist[n:n + 1])
<|end_body_0|>
<|body_start_1|>
m = n
for i in xrange(10):
domain ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findNthDigit_TLE(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_1|>
def findNthDigit2(self, n):
""":type n: int :rtype: int"""
<|body_2|>
<|end_skeleton|... | stack_v2_sparse_classes_75kplus_train_069472 | 2,319 | no_license | [
{
"docstring": ":type n: int :rtype: int",
"name": "findNthDigit_TLE",
"signature": "def findNthDigit_TLE(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "findNthDigit",
"signature": "def findNthDigit(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"na... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findNthDigit_TLE(self, n): :type n: int :rtype: int
- def findNthDigit(self, n): :type n: int :rtype: int
- def findNthDigit2(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findNthDigit_TLE(self, n): :type n: int :rtype: int
- def findNthDigit(self, n): :type n: int :rtype: int
- def findNthDigit2(self, n): :type n: int :rtype: int
<|skeleton|>... | 2d5fa4cd696d5035ea8859befeadc5cc436959c9 | <|skeleton|>
class Solution:
def findNthDigit_TLE(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def findNthDigit(self, n):
""":type n: int :rtype: int"""
<|body_1|>
def findNthDigit2(self, n):
""":type n: int :rtype: int"""
<|body_2|>
<|end_skeleton|... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def findNthDigit_TLE(self, n):
""":type n: int :rtype: int"""
if n == 0:
return 0
i = len(str(n))
j = i * 10 ** i * 9
numlist = ''
for x in xrange(j):
numlist += str(x)
return int(numlist[n:n + 1])
def findNthDigit(... | the_stack_v2_python_sparse | SourceCode/Python/Problem/00400.Nth Digit.py | roger6blog/LeetCode | train | 0 | |
f0984e01d50f2417468bdd963cff481d203e30da | [
"num = input(f'Guess a number between {START} and {END}:')\nif not num:\n raise ValueError('Please enter a number')\nelse:\n try:\n num = int(num)\n except ValueError:\n raise ValueError('Should be a number')\n if not START <= num <= END:\n raise ValueError('Number not in range')\n ... | <|body_start_0|>
num = input(f'Guess a number between {START} and {END}:')
if not num:
raise ValueError('Please enter a number')
else:
try:
num = int(num)
except ValueError:
raise ValueError('Should be a number')
if ... | Number guess class, make it callable to initiate game | Game | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Game:
"""Number guess class, make it callable to initiate game"""
def guess(self):
"""Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a number' 'Number not in range' 'Already guessed' If all good... | stack_v2_sparse_classes_75kplus_train_069473 | 2,696 | no_license | [
{
"docstring": "Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a number' 'Number not in range' 'Already guessed' If all good, return the int",
"name": "guess",
"signature": "def guess(self)"
},
{
"docstring... | 3 | stack_v2_sparse_classes_30k_train_014884 | Implement the Python class `Game` described below.
Class description:
Number guess class, make it callable to initiate game
Method signatures and docstrings:
- def guess(self): Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a nu... | Implement the Python class `Game` described below.
Class description:
Number guess class, make it callable to initiate game
Method signatures and docstrings:
- def guess(self): Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a nu... | a1eb0a5553e50e88d3568a36b275138d84d9fb46 | <|skeleton|>
class Game:
"""Number guess class, make it callable to initiate game"""
def guess(self):
"""Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a number' 'Number not in range' 'Already guessed' If all good... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Game:
"""Number guess class, make it callable to initiate game"""
def guess(self):
"""Ask user for input, convert to int, raise ValueError outputting the following errors when applicable: 'Please enter a number' 'Should be a number' 'Number not in range' 'Already guessed' If all good, return the ... | the_stack_v2_python_sparse | code_challenges/42/guess.py | dcribb19/bitesofpy | train | 1 |
78404f605f4376d8af232cdc8b39db0694afee77 | [
"assert operation in [self.CREATED, self.CHANGED, self.READ]\nassert isinstance(name, str)\nself.operation = operation\nself.name = name\nself.given_value = given_value\nself.new_value = new_value",
"if self.operation in [self.CREATED, self.READ]:\n text = 'Attribute(operation=%(operation)s, name=%(name)s, val... | <|body_start_0|>
assert operation in [self.CREATED, self.CHANGED, self.READ]
assert isinstance(name, str)
self.operation = operation
self.name = name
self.given_value = given_value
self.new_value = new_value
<|end_body_0|>
<|body_start_1|>
if self.operation in [s... | Represents mock attribute state for create, read and write and the relating values. | Attribute | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Attribute:
"""Represents mock attribute state for create, read and write and the relating values."""
def __init__(self, operation, name, given_value=None, new_value=None):
"""Storing attribute operation and relevant data. :param operation: CREATED, CHANGED or READ :param name: name o... | stack_v2_sparse_classes_75kplus_train_069474 | 3,654 | permissive | [
{
"docstring": "Storing attribute operation and relevant data. :param operation: CREATED, CHANGED or READ :param name: name of attribute :param given_value: value when created or the value you read :param new_value: new value when changing an attribute",
"name": "__init__",
"signature": "def __init__(se... | 4 | null | Implement the Python class `Attribute` described below.
Class description:
Represents mock attribute state for create, read and write and the relating values.
Method signatures and docstrings:
- def __init__(self, operation, name, given_value=None, new_value=None): Storing attribute operation and relevant data. :para... | Implement the Python class `Attribute` described below.
Class description:
Represents mock attribute state for create, read and write and the relating values.
Method signatures and docstrings:
- def __init__(self, operation, name, given_value=None, new_value=None): Storing attribute operation and relevant data. :para... | 64e1f82de144f959cdf3c6dcf0f692bbc0ceb20f | <|skeleton|>
class Attribute:
"""Represents mock attribute state for create, read and write and the relating values."""
def __init__(self, operation, name, given_value=None, new_value=None):
"""Storing attribute operation and relevant data. :param operation: CREATED, CHANGED or READ :param name: name o... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Attribute:
"""Represents mock attribute state for create, read and write and the relating values."""
def __init__(self, operation, name, given_value=None, new_value=None):
"""Storing attribute operation and relevant data. :param operation: CREATED, CHANGED or READ :param name: name of attribute :... | the_stack_v2_python_sparse | concept/mock/attribute.py | Nachtfeuer/concept-py | train | 2 |
c4398aca34a2c33ce5692b086914fdc1b32f6a8e | [
"super(BilinearSTNRegistrator, self).__init__()\nif atlas.type is np.ndarray:\n self.atlas = torch.from_numpy(atlas)\nelse:\n self.atlas = atlas\nself.atlas = self.atlas.to(device)\nself.atlas = Variable(self.atlas, requires_grad=True)\nself.localization_net = Type1Module()\nif device is None:\n device = t... | <|body_start_0|>
super(BilinearSTNRegistrator, self).__init__()
if atlas.type is np.ndarray:
self.atlas = torch.from_numpy(atlas)
else:
self.atlas = atlas
self.atlas = self.atlas.to(device)
self.atlas = Variable(self.atlas, requires_grad=True)
self... | 3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin | BilinearSTNRegistrator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BilinearSTNRegistrator:
"""3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin"""
def __init__(self, atlas, device=None):
... | stack_v2_sparse_classes_75kplus_train_069475 | 8,571 | no_license | [
{
"docstring": "Args: atlas: numpy array of size using_cuda(bool)",
"name": "__init__",
"signature": "def __init__(self, atlas, device=None)"
},
{
"docstring": "forward pass of the Bilinear STN registation using the atlas given in the constructor Args: x: Returns:",
"name": "forward",
"s... | 2 | stack_v2_sparse_classes_30k_train_043899 | Implement the Python class `BilinearSTNRegistrator` described below.
Class description:
3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin
Method signa... | Implement the Python class `BilinearSTNRegistrator` described below.
Class description:
3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin
Method signa... | f525743a9728b6ac17fa651c4eef8dec265d778d | <|skeleton|>
class BilinearSTNRegistrator:
"""3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin"""
def __init__(self, atlas, device=None):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BilinearSTNRegistrator:
"""3D spatial transformer implementation using pytorch. the STN has 3 main parts: 1. The localization network (who is giving by to user at init level) 2. creating are transformation function. This could be affine, b-slin"""
def __init__(self, atlas, device=None):
"""Args: ... | the_stack_v2_python_sparse | network.py | ADubinA/pytorch-morph | train | 0 |
3312d41b2b904d966e01a9288d982c3b25edf5c9 | [
"logging.basicConfig(format='%(levelname)s:%(asctime)s ||| %(message)s', level=loglevel, filename=logfile, datefmt='%Y-%m-%d,%H:%M:%S')\nself.config = config\nself.fm = fm\nself.iv = Inversion(self.config, self.fm)\nself.completed_spectra = 0\nself.hash_table = OrderedDict()\nself.hash_size = 500\nself.RT_state_fil... | <|body_start_0|>
logging.basicConfig(format='%(levelname)s:%(asctime)s ||| %(message)s', level=loglevel, filename=logfile, datefmt='%Y-%m-%d,%H:%M:%S')
self.config = config
self.fm = fm
self.iv = Inversion(self.config, self.fm)
self.completed_spectra = 0
self.hash_table =... | Worker | [
"LicenseRef-scancode-proprietary-license",
"CC0-1.0",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Worker:
def __init__(self, config: configs.Config, fm: ForwardModel, RT_state_file: str, analytical_state_file: str, analytical_state_unc_file: str, rdn_file: str, loc_file: str, obs_file: str, loglevel: str, logfile: str, subs_state_file: str=None, lbl_file: str=None):
"""Worker class t... | stack_v2_sparse_classes_75kplus_train_069476 | 11,110 | permissive | [
{
"docstring": "Worker class to help run a subset of spectra. Args: forward_model: isofit forward_model loglevel: output logging level logfile: output logging file worker_id: worker ID for logging reference total_workers: the total number of workers running, for logging reference",
"name": "__init__",
"... | 2 | null | Implement the Python class `Worker` described below.
Class description:
Implement the Worker class.
Method signatures and docstrings:
- def __init__(self, config: configs.Config, fm: ForwardModel, RT_state_file: str, analytical_state_file: str, analytical_state_unc_file: str, rdn_file: str, loc_file: str, obs_file: s... | Implement the Python class `Worker` described below.
Class description:
Implement the Worker class.
Method signatures and docstrings:
- def __init__(self, config: configs.Config, fm: ForwardModel, RT_state_file: str, analytical_state_file: str, analytical_state_unc_file: str, rdn_file: str, loc_file: str, obs_file: s... | 7680163bb5c75ce8e6ec817819362d63f0a28630 | <|skeleton|>
class Worker:
def __init__(self, config: configs.Config, fm: ForwardModel, RT_state_file: str, analytical_state_file: str, analytical_state_unc_file: str, rdn_file: str, loc_file: str, obs_file: str, loglevel: str, logfile: str, subs_state_file: str=None, lbl_file: str=None):
"""Worker class t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Worker:
def __init__(self, config: configs.Config, fm: ForwardModel, RT_state_file: str, analytical_state_file: str, analytical_state_unc_file: str, rdn_file: str, loc_file: str, obs_file: str, loglevel: str, logfile: str, subs_state_file: str=None, lbl_file: str=None):
"""Worker class to help run a s... | the_stack_v2_python_sparse | isofit/utils/analytical_line.py | isofit/isofit | train | 67 | |
603d7a72acdde774ad8a9edd696c4992b5624dd1 | [
"for p in [region_name, cluster_name]:\n if p is None or p == '' or p == ' ':\n exit(1)\nelse:\n self.region_name = region_name\n self.cluster_name = cluster_name\n self.err = 0",
"self.err = 0\nerrInfo = None\ntry:\n client = boto3.Session(region_name=self.region_name)\n self.msk_client ... | <|body_start_0|>
for p in [region_name, cluster_name]:
if p is None or p == '' or p == ' ':
exit(1)
else:
self.region_name = region_name
self.cluster_name = cluster_name
self.err = 0
<|end_body_0|>
<|body_start_1|>
self.err = 0
... | Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore | BackendConfig | [
"JSON"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackendConfig:
"""Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore"""
def __init__(self, cluster_name, region_name):
""":param region_name": Region Name for the AWS MSK Cluster :type region_name": string :param cluster_name: AW... | stack_v2_sparse_classes_75kplus_train_069477 | 4,994 | permissive | [
{
"docstring": ":param region_name\": Region Name for the AWS MSK Cluster :type region_name\": string :param cluster_name: AWS MSK Cluster Name :type cluster_name: string",
"name": "__init__",
"signature": "def __init__(self, cluster_name, region_name)"
},
{
"docstring": "Method that creates a M... | 3 | stack_v2_sparse_classes_30k_train_026832 | Implement the Python class `BackendConfig` described below.
Class description:
Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore
Method signatures and docstrings:
- def __init__(self, cluster_name, region_name): :param region_name": Region Name for the AWS MSK C... | Implement the Python class `BackendConfig` described below.
Class description:
Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore
Method signatures and docstrings:
- def __init__(self, cluster_name, region_name): :param region_name": Region Name for the AWS MSK C... | a327a56d8722bc039a7250903098f4ac7613e5a2 | <|skeleton|>
class BackendConfig:
"""Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore"""
def __init__(self, cluster_name, region_name):
""":param region_name": Region Name for the AWS MSK Cluster :type region_name": string :param cluster_name: AW... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BackendConfig:
"""Class for exporting MSK Connection information - Brokers - Zookeepers - Connection Protocol - Trustostore"""
def __init__(self, cluster_name, region_name):
""":param region_name": Region Name for the AWS MSK Cluster :type region_name": string :param cluster_name: AWS MSK Cluster... | the_stack_v2_python_sparse | aws/eks/lambdas/backend_config.py | christafford/lenses-cloud-templates | train | 0 |
af197217152ff07e55fa7de5e3ac70d90a5a143f | [
"row = len(matrix)\ncol = len(matrix[0])\ndp = [[0] * col for i in range(row)]\ndp[0][0] = matrix[0][0]\nfor i in range(1, col):\n dp[0][i] = dp[0][i - 1] + matrix[0][i]\nfor j in range(1, row):\n dp[j][0] = matrix[j - 1][0] + matrix[j][0]\nfor i in range(1, row):\n for j in range(1, col):\n dp[i][j... | <|body_start_0|>
row = len(matrix)
col = len(matrix[0])
dp = [[0] * col for i in range(row)]
dp[0][0] = matrix[0][0]
for i in range(1, col):
dp[0][i] = dp[0][i - 1] + matrix[0][i]
for j in range(1, row):
dp[j][0] = matrix[j - 1][0] + matrix[j][0]
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minPathSum(self, matrix):
"""时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:"""
<|body_0|>
def minPathSum2(self, matrix):
"""时间复杂度O(MN) 空间复杂度O(min{M,N}) :param matrix: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
row = len(ma... | stack_v2_sparse_classes_75kplus_train_069478 | 1,778 | no_license | [
{
"docstring": "时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:",
"name": "minPathSum",
"signature": "def minPathSum(self, matrix)"
},
{
"docstring": "时间复杂度O(MN) 空间复杂度O(min{M,N}) :param matrix: :return:",
"name": "minPathSum2",
"signature": "def minPathSum2(self, matrix)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008782 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, matrix): 时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:
- def minPathSum2(self, matrix): 时间复杂度O(MN) 空间复杂度O(min{M,N}) :param matrix: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minPathSum(self, matrix): 时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:
- def minPathSum2(self, matrix): 时间复杂度O(MN) 空间复杂度O(min{M,N}) :param matrix: :return:
<|skeleton|>
cla... | 85ceaf8f3da0efd66b4394ef16669ea673218265 | <|skeleton|>
class Solution:
def minPathSum(self, matrix):
"""时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:"""
<|body_0|>
def minPathSum2(self, matrix):
"""时间复杂度O(MN) 空间复杂度O(min{M,N}) :param matrix: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minPathSum(self, matrix):
"""时间复杂度O(MN) 空间复杂度O(MN) :param matrix: :return:"""
row = len(matrix)
col = len(matrix[0])
dp = [[0] * col for i in range(row)]
dp[0][0] = matrix[0][0]
for i in range(1, col):
dp[0][i] = dp[0][i - 1] + matrix[0... | the_stack_v2_python_sparse | 程序员代码面试指南/4. 动态规划/3. 矩阵的最小路径和.py | alexkie007/offer | train | 2 | |
16783a5d0d80173b22d54273a121e0668f6d97c8 | [
"self.action: t.Optional[t.Callable[[T], V]] = None\nself.last_request: float = 0\nself.result: t.Optional[V] = None",
"self.last_request = time.time()\nwas_notified = True\nwhile not stop.is_set() and was_notified:\n logger.debug('%s, getting lock in loop', self)\n with condition:\n logger.debug('%s... | <|body_start_0|>
self.action: t.Optional[t.Callable[[T], V]] = None
self.last_request: float = 0
self.result: t.Optional[V] = None
<|end_body_0|>
<|body_start_1|>
self.last_request = time.time()
was_notified = True
while not stop.is_set() and was_notified:
lo... | Class that manages an instance of a context class. | Manager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Manager:
"""Class that manages an instance of a context class."""
def post_init(self) -> None:
"""Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplicate the init signature."""
<|body_0|>
def bo... | stack_v2_sparse_classes_75kplus_train_069479 | 12,647 | no_license | [
{
"docstring": "Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplicate the init signature.",
"name": "post_init",
"signature": "def post_init(self) -> None"
},
{
"docstring": "Method called on the context of an instanc... | 4 | stack_v2_sparse_classes_30k_train_022972 | Implement the Python class `Manager` described below.
Class description:
Class that manages an instance of a context class.
Method signatures and docstrings:
- def post_init(self) -> None: Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplic... | Implement the Python class `Manager` described below.
Class description:
Class that manages an instance of a context class.
Method signatures and docstrings:
- def post_init(self) -> None: Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplic... | c33c4a522f746d6c6625970e4fda11484cdf46dc | <|skeleton|>
class Manager:
"""Class that manages an instance of a context class."""
def post_init(self) -> None:
"""Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplicate the init signature."""
<|body_0|>
def bo... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Manager:
"""Class that manages an instance of a context class."""
def post_init(self) -> None:
"""Run initialization logic after the default init. Provided to allow easy constant / default setting / etc without having to duplicate the init signature."""
self.action: t.Optional[t.Callable[... | the_stack_v2_python_sparse | app/reader.py | Solarbotics/camstationv2 | train | 1 |
8bbcdf36c3b07dc491396affd825ba6774eed99a | [
"self.basic_block = basic_block\nself.bb_index = bb_index\nself.il = il\nself.written = {}\nself.read = {}",
"ssa = getSSA()\nwritten, read = il_registers(self.il)\nprint(written, read, self.il, self.il.operation)\nin_variables = copy.deepcopy(in_variables)\nfor r in read:\n if r not in in_variables:\n ... | <|body_start_0|>
self.basic_block = basic_block
self.bb_index = bb_index
self.il = il
self.written = {}
self.read = {}
<|end_body_0|>
<|body_start_1|>
ssa = getSSA()
written, read = il_registers(self.il)
print(written, read, self.il, self.il.operation)
... | A meta-instruction which we do analysis over | InsAnalysis | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InsAnalysis:
"""A meta-instruction which we do analysis over"""
def __init__(self, basic_block, bb_index, il):
"""Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The index in BBAnalysis of this instruction."""
<|body_... | stack_v2_sparse_classes_75kplus_train_069480 | 4,768 | permissive | [
{
"docstring": "Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The index in BBAnalysis of this instruction.",
"name": "__init__",
"signature": "def __init__(self, basic_block, bb_index, il)"
},
{
"docstring": "Takes a dict of identifier... | 2 | stack_v2_sparse_classes_30k_train_048029 | Implement the Python class `InsAnalysis` described below.
Class description:
A meta-instruction which we do analysis over
Method signatures and docstrings:
- def __init__(self, basic_block, bb_index, il): Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The in... | Implement the Python class `InsAnalysis` described below.
Class description:
A meta-instruction which we do analysis over
Method signatures and docstrings:
- def __init__(self, basic_block, bb_index, il): Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The in... | d1e51e0226474a81d96de26f36ffc2d39065ba87 | <|skeleton|>
class InsAnalysis:
"""A meta-instruction which we do analysis over"""
def __init__(self, basic_block, bb_index, il):
"""Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The index in BBAnalysis of this instruction."""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class InsAnalysis:
"""A meta-instruction which we do analysis over"""
def __init__(self, basic_block, bb_index, il):
"""Constructor for InsAnalysis @param basic_block The BBAnalysis this InsAnalysis belongs to. @param bb_index The index in BBAnalysis of this instruction."""
self.basic_block = b... | the_stack_v2_python_sparse | src/avd/core/sliceEngine/loopDetection.py | bkerler/zeno | train | 1 |
f81d317919cf1ab1a2ae8e6daa0ed67ef221d2d2 | [
"func_name = sys._getframe().f_code.co_name\nad_plan_info = self.get_request_data(func_name)\nexpect_errmsg = self.get_expect_result(func_name)\n'添加策略(不播放广告)'\nad_plan_info['playType'] = 1\nres = self.get_result(func_name, var_params=ad_plan_info)\nactual_errmsg = res[0].json()['errmsg']\nself.assertIn(actual_errms... | <|body_start_0|>
func_name = sys._getframe().f_code.co_name
ad_plan_info = self.get_request_data(func_name)
expect_errmsg = self.get_expect_result(func_name)
'添加策略(不播放广告)'
ad_plan_info['playType'] = 1
res = self.get_result(func_name, var_params=ad_plan_info)
actua... | StrategyManagementOfVideoEditionAdvertising | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StrategyManagementOfVideoEditionAdvertising:
def test_urine_v2_adPlanInfo_saveAdPlan(self):
"""添加视频广告策略 :return:"""
<|body_0|>
def test_urine_v2_adPlanInfo_adPlanList(self):
"""查询策略列表 :return:"""
<|body_1|>
def test_urine_v2_adPlanInfo_canBeDelete(self):... | stack_v2_sparse_classes_75kplus_train_069481 | 3,341 | no_license | [
{
"docstring": "添加视频广告策略 :return:",
"name": "test_urine_v2_adPlanInfo_saveAdPlan",
"signature": "def test_urine_v2_adPlanInfo_saveAdPlan(self)"
},
{
"docstring": "查询策略列表 :return:",
"name": "test_urine_v2_adPlanInfo_adPlanList",
"signature": "def test_urine_v2_adPlanInfo_adPlanList(self)"... | 4 | stack_v2_sparse_classes_30k_train_047916 | Implement the Python class `StrategyManagementOfVideoEditionAdvertising` described below.
Class description:
Implement the StrategyManagementOfVideoEditionAdvertising class.
Method signatures and docstrings:
- def test_urine_v2_adPlanInfo_saveAdPlan(self): 添加视频广告策略 :return:
- def test_urine_v2_adPlanInfo_adPlanList(s... | Implement the Python class `StrategyManagementOfVideoEditionAdvertising` described below.
Class description:
Implement the StrategyManagementOfVideoEditionAdvertising class.
Method signatures and docstrings:
- def test_urine_v2_adPlanInfo_saveAdPlan(self): 添加视频广告策略 :return:
- def test_urine_v2_adPlanInfo_adPlanList(s... | 6837a07ff200b610e7ba799a52543493848b6026 | <|skeleton|>
class StrategyManagementOfVideoEditionAdvertising:
def test_urine_v2_adPlanInfo_saveAdPlan(self):
"""添加视频广告策略 :return:"""
<|body_0|>
def test_urine_v2_adPlanInfo_adPlanList(self):
"""查询策略列表 :return:"""
<|body_1|>
def test_urine_v2_adPlanInfo_canBeDelete(self):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StrategyManagementOfVideoEditionAdvertising:
def test_urine_v2_adPlanInfo_saveAdPlan(self):
"""添加视频广告策略 :return:"""
func_name = sys._getframe().f_code.co_name
ad_plan_info = self.get_request_data(func_name)
expect_errmsg = self.get_expect_result(func_name)
'添加策略(不播放广告)'... | the_stack_v2_python_sparse | run/operation_management/test_strategy_management_of_video_edition_advertising.py | liwei123a/APITestFrame | train | 0 | |
72de027ad380186edcd59b98e76f4f1eb3effbe9 | [
"self.action_n = env.action_space.n\nself.obs_low = env.observation_space.low\nself.obs_scale = env.observation_space.high - env.observation_space.low\nself.encoder = GridCoder(dim_size_arr, self.obs_low, self.obs_scale)\nself.w = np.zeros((self.encoder.state_num, self.action_n))\nself.c = np.zeros_like(self.w)\nse... | <|body_start_0|>
self.action_n = env.action_space.n
self.obs_low = env.observation_space.low
self.obs_scale = env.observation_space.high - env.observation_space.low
self.encoder = GridCoder(dim_size_arr, self.obs_low, self.obs_scale)
self.w = np.zeros((self.encoder.state_num, sel... | 网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据 | SARSAAgent_grid | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SARSAAgent_grid:
"""网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据"""
def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001):
"""学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习速率 epsilon 执行探索策略概率"""
<|body_0|>
def decide... | stack_v2_sparse_classes_75kplus_train_069482 | 22,277 | no_license | [
{
"docstring": "学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习速率 epsilon 执行探索策略概率",
"name": "__init__",
"signature": "def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001)"
},
{
"docstring": "决策函数 observation 状态观测值 (位置 速度 时间)",
"name"... | 3 | stack_v2_sparse_classes_30k_train_005357 | Implement the Python class `SARSAAgent_grid` described below.
Class description:
网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据
Method signatures and docstrings:
- def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001): 学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习... | Implement the Python class `SARSAAgent_grid` described below.
Class description:
网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据
Method signatures and docstrings:
- def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001): 学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习... | e6526e9e38fcb5be91b46cb40715c15242198a0b | <|skeleton|>
class SARSAAgent_grid:
"""网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据"""
def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001):
"""学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习速率 epsilon 执行探索策略概率"""
<|body_0|>
def decide... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SARSAAgent_grid:
"""网格太细会带来训练速度慢的问题 本质是q值表更新的不充分 不能从临近的网格获取数据"""
def __init__(self, env, dim_size_arr=[50, 50], gamma=1.0, learning_rate=0.03, epsilon=0.001):
"""学习函数 env 环境 dim_size_arr 各个维度上的网格数量 gamma 收益衰减速率 learning_rate 学习速率 epsilon 执行探索策略概率"""
self.action_n = env.action_space.n
... | the_stack_v2_python_sparse | mountain_car/function_approx.py | lwzswufe/gym_learning | train | 0 |
d224323171d4506d05152eac4064243fb46ca701 | [
"super(Method, self).__init__(model, evaluate, dtype=dtype, pos=pos)\nself.discriminator = domain_discriminator\nif domain_discriminator.loss != 'sparse_categorical_crossentropy':\n raise ValueError('domain_discriminator loss must be sparse_categorical_crossentropy')\nif domain_discriminator.output_shape[1] != 2... | <|body_start_0|>
super(Method, self).__init__(model, evaluate, dtype=dtype, pos=pos)
self.discriminator = domain_discriminator
if domain_discriminator.loss != 'sparse_categorical_crossentropy':
raise ValueError('domain_discriminator loss must be sparse_categorical_crossentropy')
... | Covariate shift baseline method. | Method | [
"Apache-2.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Method:
"""Covariate shift baseline method."""
def __init__(self, model, domain_discriminator, evaluate=None, dtype=tf.float32, pos=None):
"""Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_discriminator: Keras model used to discriminate source from t... | stack_v2_sparse_classes_75kplus_train_069483 | 4,175 | permissive | [
{
"docstring": "Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_discriminator: Keras model used to discriminate source from target. Must have 'sparse_categorical_crossentropy' as a loss. evaluate: a tf.keras.metrics method. dtype: desired dtype (e.g. tf.float32). pos: config_dic... | 3 | null | Implement the Python class `Method` described below.
Class description:
Covariate shift baseline method.
Method signatures and docstrings:
- def __init__(self, model, domain_discriminator, evaluate=None, dtype=tf.float32, pos=None): Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_disc... | Implement the Python class `Method` described below.
Class description:
Covariate shift baseline method.
Method signatures and docstrings:
- def __init__(self, model, domain_discriminator, evaluate=None, dtype=tf.float32, pos=None): Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_disc... | 5573d9c5822f4e866b6692769963ae819cb3f10d | <|skeleton|>
class Method:
"""Covariate shift baseline method."""
def __init__(self, model, domain_discriminator, evaluate=None, dtype=tf.float32, pos=None):
"""Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_discriminator: Keras model used to discriminate source from t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Method:
"""Covariate shift baseline method."""
def __init__(self, model, domain_discriminator, evaluate=None, dtype=tf.float32, pos=None):
"""Constructor. Args: model: Compiled Keras model. Used to predict Y from X. domain_discriminator: Keras model used to discriminate source from target. Must h... | the_stack_v2_python_sparse | latent_shift_adaptation/latent_shift_adaptation/methods/shift_correction/cov.py | Jimmy-INL/google-research | train | 1 |
e0cf12f9fccfc16dc8c6c9ebeffc857869ab1f9f | [
"self.argument_spec = netapp_utils.na_ontap_host_argument_spec()\nself.argument_spec.update(dict(state=dict(required=False, choices=['present', 'absent'], default='present'), broadcast_domain=dict(required=True, type='str'), ipspace=dict(required=False, type='str'), mtu=dict(required=False, type='str'), ports=dict(... | <|body_start_0|>
self.argument_spec = netapp_utils.na_ontap_host_argument_spec()
self.argument_spec.update(dict(state=dict(required=False, choices=['present', 'absent'], default='present'), broadcast_domain=dict(required=True, type='str'), ipspace=dict(required=False, type='str'), mtu=dict(required=Fals... | Create, Modifies and Destroys a Broadcast domain | NetAppOntapBroadcastDomain | [
"MIT",
"GPL-3.0-or-later"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NetAppOntapBroadcastDomain:
"""Create, Modifies and Destroys a Broadcast domain"""
def __init__(self):
"""Initialize the ONTAP Broadcast Domain class"""
<|body_0|>
def get_broadcast_domain(self):
"""Return details about the broadcast domain :param: name : broadca... | stack_v2_sparse_classes_75kplus_train_069484 | 9,431 | permissive | [
{
"docstring": "Initialize the ONTAP Broadcast Domain class",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Return details about the broadcast domain :param: name : broadcast domain name :return: Details about the broadcas domain. None if not found. :rtype: dict",
... | 6 | stack_v2_sparse_classes_30k_train_047918 | Implement the Python class `NetAppOntapBroadcastDomain` described below.
Class description:
Create, Modifies and Destroys a Broadcast domain
Method signatures and docstrings:
- def __init__(self): Initialize the ONTAP Broadcast Domain class
- def get_broadcast_domain(self): Return details about the broadcast domain :... | Implement the Python class `NetAppOntapBroadcastDomain` described below.
Class description:
Create, Modifies and Destroys a Broadcast domain
Method signatures and docstrings:
- def __init__(self): Initialize the ONTAP Broadcast Domain class
- def get_broadcast_domain(self): Return details about the broadcast domain :... | 0cd0c003884155ac922e3e301305ac202de7028c | <|skeleton|>
class NetAppOntapBroadcastDomain:
"""Create, Modifies and Destroys a Broadcast domain"""
def __init__(self):
"""Initialize the ONTAP Broadcast Domain class"""
<|body_0|>
def get_broadcast_domain(self):
"""Return details about the broadcast domain :param: name : broadca... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NetAppOntapBroadcastDomain:
"""Create, Modifies and Destroys a Broadcast domain"""
def __init__(self):
"""Initialize the ONTAP Broadcast Domain class"""
self.argument_spec = netapp_utils.na_ontap_host_argument_spec()
self.argument_spec.update(dict(state=dict(required=False, choice... | the_stack_v2_python_sparse | ansible/my_env/lib/python2.7/site-packages/ansible/modules/storage/netapp/na_ontap_broadcast_domain.py | otus-devops-2019-02/yyashkin_infra | train | 0 |
62c3bd7535c3ee9495cb282facf5fad9213ec35f | [
"self.Data = Data\nself.K = K\nif weights is not None:\n self.weights = weights\nelse:\n self.weights = np.random.rand(self.K)\n self.weights /= np.sum(self.weights)\ncol = np.shape(self.Data)[1]\nif means is not None:\n self.means = means\nelse:\n self.means = []\n for i in range(self.K):\n ... | <|body_start_0|>
self.Data = Data
self.K = K
if weights is not None:
self.weights = weights
else:
self.weights = np.random.rand(self.K)
self.weights /= np.sum(self.weights)
col = np.shape(self.Data)[1]
if means is not None:
... | GMM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GMM:
def __init__(self, Data, K, weights=None, means=None, covars=None):
"""这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param covars: 高斯分布的协方差矩阵集合"""
<|body_0|>
def Gaussian(self, x, mean, cov):
"""... | stack_v2_sparse_classes_75kplus_train_069485 | 7,656 | no_license | [
{
"docstring": "这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param covars: 高斯分布的协方差矩阵集合",
"name": "__init__",
"signature": "def __init__(self, Data, K, weights=None, means=None, covars=None)"
},
{
"docstring": "这是自定义的高斯分布概率密度函数 ... | 3 | stack_v2_sparse_classes_30k_train_050194 | Implement the Python class `GMM` described below.
Class description:
Implement the GMM class.
Method signatures and docstrings:
- def __init__(self, Data, K, weights=None, means=None, covars=None): 这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param c... | Implement the Python class `GMM` described below.
Class description:
Implement the GMM class.
Method signatures and docstrings:
- def __init__(self, Data, K, weights=None, means=None, covars=None): 这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param c... | 728852edefecfaf3af61a90c1c0325ee4991b4fc | <|skeleton|>
class GMM:
def __init__(self, Data, K, weights=None, means=None, covars=None):
"""这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param covars: 高斯分布的协方差矩阵集合"""
<|body_0|>
def Gaussian(self, x, mean, cov):
"""... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GMM:
def __init__(self, Data, K, weights=None, means=None, covars=None):
"""这是GMM（高斯混合模型）类的构造函数 :param Data: 训练数据 :param K: 高斯分布的个数 :param weigths: 每个高斯分布的初始概率（权重） :param means: 高斯分布的均值向量 :param covars: 高斯分布的协方差矩阵集合"""
self.Data = Data
self.K = K
if weights is not None:
... | the_stack_v2_python_sparse | GMM.py | mrachelyu/yolo3_auto_label- | train | 1 | |
91926f8d33018011014d4f998f1dad7f45bfdd16 | [
"super(FeatureExtractor, self).__init__()\nself.hidden_size = hidden_size\nself.num_layers = num_layers\nself.num_embeddings, self.embedding_dim = pretrained_mtx.shape\nself.token2idx_dict = token2idx_dict\nself.embedding = nn.Embedding.from_pretrained(torch.from_numpy(pretrained_mtx).float(), freeze=freeze_embeddi... | <|body_start_0|>
super(FeatureExtractor, self).__init__()
self.hidden_size = hidden_size
self.num_layers = num_layers
self.num_embeddings, self.embedding_dim = pretrained_mtx.shape
self.token2idx_dict = token2idx_dict
self.embedding = nn.Embedding.from_pretrained(torch.fr... | Feature extracter for each node in the graph. | FeatureExtractor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FeatureExtractor:
"""Feature extracter for each node in the graph."""
def __init__(self, token2idx_dict, pretrained_mtx, hidden_size, num_layers=1, freeze_embedding=True):
"""Args: -token2idx_dict: token_to_index dictionary. -pretrained_mtx: pretrained word representation matrix. -hi... | stack_v2_sparse_classes_75kplus_train_069486 | 4,830 | no_license | [
{
"docstring": "Args: -token2idx_dict: token_to_index dictionary. -pretrained_mtx: pretrained word representation matrix. -hidden_size: size of hidden state of LSTM, which is also the dim for each graph node. -num_layers: the number of LSTM layers for each step. -freeze_embedding: whether to continue to train t... | 2 | stack_v2_sparse_classes_30k_train_014544 | Implement the Python class `FeatureExtractor` described below.
Class description:
Feature extracter for each node in the graph.
Method signatures and docstrings:
- def __init__(self, token2idx_dict, pretrained_mtx, hidden_size, num_layers=1, freeze_embedding=True): Args: -token2idx_dict: token_to_index dictionary. -p... | Implement the Python class `FeatureExtractor` described below.
Class description:
Feature extracter for each node in the graph.
Method signatures and docstrings:
- def __init__(self, token2idx_dict, pretrained_mtx, hidden_size, num_layers=1, freeze_embedding=True): Args: -token2idx_dict: token_to_index dictionary. -p... | bcef404ad1976706fffe08ea066f8fd1c2405f3b | <|skeleton|>
class FeatureExtractor:
"""Feature extracter for each node in the graph."""
def __init__(self, token2idx_dict, pretrained_mtx, hidden_size, num_layers=1, freeze_embedding=True):
"""Args: -token2idx_dict: token_to_index dictionary. -pretrained_mtx: pretrained word representation matrix. -hi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FeatureExtractor:
"""Feature extracter for each node in the graph."""
def __init__(self, token2idx_dict, pretrained_mtx, hidden_size, num_layers=1, freeze_embedding=True):
"""Args: -token2idx_dict: token_to_index dictionary. -pretrained_mtx: pretrained word representation matrix. -hidden_size: si... | the_stack_v2_python_sparse | models/feature_extractor.py | wll199566/KG2 | train | 5 |
a07e42c6c0007850394658455f3565be67e0fe20 | [
"creator = kwargs.pop('creator', None)\nrecipients = kwargs.pop('recipients', None)\nalias = super().create(*args, **kwargs)\nif creator:\n alias.post_create(creator)\nif recipients:\n alias.set_recipients(recipients)\nreturn alias",
"alias = self.get_queryset().filter(address=address, internal=False)\nif a... | <|body_start_0|>
creator = kwargs.pop('creator', None)
recipients = kwargs.pop('recipients', None)
alias = super().create(*args, **kwargs)
if creator:
alias.post_create(creator)
if recipients:
alias.set_recipients(recipients)
return alias
<|end_bod... | Custom manager for Alias. | AliasManager | [
"ISC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AliasManager:
"""Custom manager for Alias."""
def create(self, *args, **kwargs):
"""Custom create method."""
<|body_0|>
def modify_or_create(self, address, recipients, creator, domain):
"""Add recipient if the alias already exists or create it."""
<|body_... | stack_v2_sparse_classes_75kplus_train_069487 | 10,712 | permissive | [
{
"docstring": "Custom create method.",
"name": "create",
"signature": "def create(self, *args, **kwargs)"
},
{
"docstring": "Add recipient if the alias already exists or create it.",
"name": "modify_or_create",
"signature": "def modify_or_create(self, address, recipients, creator, domai... | 2 | stack_v2_sparse_classes_30k_train_006758 | Implement the Python class `AliasManager` described below.
Class description:
Custom manager for Alias.
Method signatures and docstrings:
- def create(self, *args, **kwargs): Custom create method.
- def modify_or_create(self, address, recipients, creator, domain): Add recipient if the alias already exists or create i... | Implement the Python class `AliasManager` described below.
Class description:
Custom manager for Alias.
Method signatures and docstrings:
- def create(self, *args, **kwargs): Custom create method.
- def modify_or_create(self, address, recipients, creator, domain): Add recipient if the alias already exists or create i... | df699aab0799ec1725b6b89be38e56285821c889 | <|skeleton|>
class AliasManager:
"""Custom manager for Alias."""
def create(self, *args, **kwargs):
"""Custom create method."""
<|body_0|>
def modify_or_create(self, address, recipients, creator, domain):
"""Add recipient if the alias already exists or create it."""
<|body_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AliasManager:
"""Custom manager for Alias."""
def create(self, *args, **kwargs):
"""Custom create method."""
creator = kwargs.pop('creator', None)
recipients = kwargs.pop('recipients', None)
alias = super().create(*args, **kwargs)
if creator:
alias.post... | the_stack_v2_python_sparse | modoboa/admin/models/alias.py | modoboa/modoboa | train | 2,201 |
bcf1b9c13fa954c345b9ae9778b1cea8e402d049 | [
"super(Proj, self).__init__()\nself.clamp_min = ClampMin()\nself.min_norm = min_norm\nself.norm_k = Norm(axis=-1, keep_dims=True)\nself.maxnorm = 1 - 0.004",
"norm = self.clamp_min(self.norm_k(x), self.min_norm)\nmaxnorm = self.maxnorm / c ** 0.5\ncond = norm > maxnorm\nprojected = x / norm * maxnorm\nreturn mnp.... | <|body_start_0|>
super(Proj, self).__init__()
self.clamp_min = ClampMin()
self.min_norm = min_norm
self.norm_k = Norm(axis=-1, keep_dims=True)
self.maxnorm = 1 - 0.004
<|end_body_0|>
<|body_start_1|>
norm = self.clamp_min(self.norm_k(x), self.min_norm)
maxnorm = ... | proj class | Proj | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Proj:
"""proj class"""
def __init__(self, min_norm):
"""init fun"""
<|body_0|>
def construct(self, x, c):
"""class construction"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(Proj, self).__init__()
self.clamp_min = ClampMin()
... | stack_v2_sparse_classes_75kplus_train_069488 | 8,596 | permissive | [
{
"docstring": "init fun",
"name": "__init__",
"signature": "def __init__(self, min_norm)"
},
{
"docstring": "class construction",
"name": "construct",
"signature": "def construct(self, x, c)"
}
] | 2 | stack_v2_sparse_classes_30k_train_047708 | Implement the Python class `Proj` described below.
Class description:
proj class
Method signatures and docstrings:
- def __init__(self, min_norm): init fun
- def construct(self, x, c): class construction | Implement the Python class `Proj` described below.
Class description:
proj class
Method signatures and docstrings:
- def __init__(self, min_norm): init fun
- def construct(self, x, c): class construction
<|skeleton|>
class Proj:
"""proj class"""
def __init__(self, min_norm):
"""init fun"""
<... | eab643f51336dbf7d711f02d27e6516e5affee59 | <|skeleton|>
class Proj:
"""proj class"""
def __init__(self, min_norm):
"""init fun"""
<|body_0|>
def construct(self, x, c):
"""class construction"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Proj:
"""proj class"""
def __init__(self, min_norm):
"""init fun"""
super(Proj, self).__init__()
self.clamp_min = ClampMin()
self.min_norm = min_norm
self.norm_k = Norm(axis=-1, keep_dims=True)
self.maxnorm = 1 - 0.004
def construct(self, x, c):
... | the_stack_v2_python_sparse | research/nlp/hypertext/src/poincare.py | mindspore-ai/models | train | 301 |
84ce0722718cb2c9cbe8fdfb76aceea25c7a878f | [
"super().__init__()\nself.margin = margin\nself.average = average",
"out1, out2 = input_\n_, _, target = targets\ndist = torch.norm(out1 - out2, p=2, dim=1)\ndist_sq = dist.pow(2)\nsim_img_loss = dist_sq\ndissim_img_loss = F.relu(self.margin ** 2 - dist_sq)\ny = target.float()\nlosses = y * sim_img_loss + (1.0 - ... | <|body_start_0|>
super().__init__()
self.margin = margin
self.average = average
<|end_body_0|>
<|body_start_1|>
out1, out2 = input_
_, _, target = targets
dist = torch.norm(out1 - out2, p=2, dim=1)
dist_sq = dist.pow(2)
sim_img_loss = dist_sq
diss... | Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper | ContrastiveLoss | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContrastiveLoss:
"""Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper"""
def __init__(self, margin, average=False):
"""Args: margin (float): aver... | stack_v2_sparse_classes_75kplus_train_069489 | 1,426 | no_license | [
{
"docstring": "Args: margin (float): average (bool): If taking average over batch, sum over batch otherwise",
"name": "__init__",
"signature": "def __init__(self, margin, average=False)"
},
{
"docstring": "Optimize later if performace is bad in computational graph using if",
"name": "forwar... | 2 | null | Implement the Python class `ContrastiveLoss` described below.
Class description:
Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper
Method signatures and docstrings:
- def __init__... | Implement the Python class `ContrastiveLoss` described below.
Class description:
Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper
Method signatures and docstrings:
- def __init__... | 0be07595b6484e91d25091680e0a9a5fc9e1f69f | <|skeleton|>
class ContrastiveLoss:
"""Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper"""
def __init__(self, margin, average=False):
"""Args: margin (float): aver... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ContrastiveLoss:
"""Contrastive loss Takes embeddings of two samples and a target label == 1 if samples are from the same class and label == 0 otherwise Notes: This is the implementation of eqn 1 in the paper"""
def __init__(self, margin, average=False):
"""Args: margin (float): average (bool): I... | the_stack_v2_python_sparse | utils/loss.py | Vivek-Chalumuri/Fashion-Image-Similarity | train | 0 |
2359084c22a9704c96af5d7d58c5a961e34e0a72 | [
"username = self.txtUsername.get()\npassword = self.txtPassword.get()\nusers = SystemToolKit.readFile(Config.UserFile)\nfor j, i in enumerate(users):\n userHash = users[i]['Password']\n salt = users[i]['Salt']\n TestUsername = users[i]['Username']\n if self.checkPassword(userHash, password, salt) == Tru... | <|body_start_0|>
username = self.txtUsername.get()
password = self.txtPassword.get()
users = SystemToolKit.readFile(Config.UserFile)
for j, i in enumerate(users):
userHash = users[i]['Password']
salt = users[i]['Salt']
TestUsername = users[i]['Username... | Methods: CheckDetails Check Passwords Check Username | Login | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Login:
"""Methods: CheckDetails Check Passwords Check Username"""
def checkDetails(self):
"""Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Username returns true If these tests are passed the system then... | stack_v2_sparse_classes_75kplus_train_069490 | 9,033 | no_license | [
{
"docstring": "Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Username returns true If these tests are passed the system then goes on to check if the email used to register the account has been confirmed if not the Confirm Email F... | 3 | stack_v2_sparse_classes_30k_train_007184 | Implement the Python class `Login` described below.
Class description:
Methods: CheckDetails Check Passwords Check Username
Method signatures and docstrings:
- def checkDetails(self): Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Userna... | Implement the Python class `Login` described below.
Class description:
Methods: CheckDetails Check Passwords Check Username
Method signatures and docstrings:
- def checkDetails(self): Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Userna... | 6420f365540d935906178691fbb5e46b6a31c6b5 | <|skeleton|>
class Login:
"""Methods: CheckDetails Check Passwords Check Username"""
def checkDetails(self):
"""Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Username returns true If these tests are passed the system then... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Login:
"""Methods: CheckDetails Check Passwords Check Username"""
def checkDetails(self):
"""Searches though the User file for any accounts that can met the login requirements These are: Check Password returns true Check Username returns true If these tests are passed the system then goes on to c... | the_stack_v2_python_sparse | Login.py | Lamppost122/Controlled-assessment-Final | train | 0 |
2bac48f158df5f8d072e4a6b378cc160569ff0b7 | [
"super(FileObjectInputReader, self).__init__(encoding=encoding)\nself._errors = 'strict'\nself._file_object = file_object",
"encoded_string = self._file_object.readline()\nif isinstance(encoded_string, str):\n return encoded_string\ntry:\n string = codecs.decode(encoded_string, self._encoding, self._errors)... | <|body_start_0|>
super(FileObjectInputReader, self).__init__(encoding=encoding)
self._errors = 'strict'
self._file_object = file_object
<|end_body_0|>
<|body_start_1|>
encoded_string = self._file_object.readline()
if isinstance(encoded_string, str):
return encoded_st... | File object command line interface input reader. This input reader relies on the file-like object having a readline method. | FileObjectInputReader | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileObjectInputReader:
"""File object command line interface input reader. This input reader relies on the file-like object having a readline method."""
def __init__(self, file_object, encoding='utf-8'):
"""Initializes a file object command line interface input reader. Args: file_obj... | stack_v2_sparse_classes_75kplus_train_069491 | 19,023 | permissive | [
{
"docstring": "Initializes a file object command line interface input reader. Args: file_object (file): file-like object to read from. encoding (Optional[str]): input encoding.",
"name": "__init__",
"signature": "def __init__(self, file_object, encoding='utf-8')"
},
{
"docstring": "Reads a stri... | 2 | stack_v2_sparse_classes_30k_train_044000 | Implement the Python class `FileObjectInputReader` described below.
Class description:
File object command line interface input reader. This input reader relies on the file-like object having a readline method.
Method signatures and docstrings:
- def __init__(self, file_object, encoding='utf-8'): Initializes a file o... | Implement the Python class `FileObjectInputReader` described below.
Class description:
File object command line interface input reader. This input reader relies on the file-like object having a readline method.
Method signatures and docstrings:
- def __init__(self, file_object, encoding='utf-8'): Initializes a file o... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class FileObjectInputReader:
"""File object command line interface input reader. This input reader relies on the file-like object having a readline method."""
def __init__(self, file_object, encoding='utf-8'):
"""Initializes a file object command line interface input reader. Args: file_obj... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FileObjectInputReader:
"""File object command line interface input reader. This input reader relies on the file-like object having a readline method."""
def __init__(self, file_object, encoding='utf-8'):
"""Initializes a file object command line interface input reader. Args: file_object (file): f... | the_stack_v2_python_sparse | plaso/cli/tools.py | log2timeline/plaso | train | 1,506 |
150465317aa985a95567b7a23c1030e2b14fca8c | [
"self.setText('New version available')\nversion = session.query('select asset.name, version from AssetVersion where id is \"{0}\"'.format(self._event['parent_id'])).all()\nself.setText('Version <span style=\"color: #E6E6E6\">{1}</span> of <span style=\"color: #E6E6E6\">{0}</span> available.'.format(version[0]['asse... | <|body_start_0|>
self.setText('New version available')
version = session.query('select asset.name, version from AssetVersion where id is "{0}"'.format(self._event['parent_id'])).all()
self.setText('Version <span style="color: #E6E6E6">{1}</span> of <span style="color: #E6E6E6">{0}</span> availab... | Represent version notification. | VersionNotification | [
"Apache-2.0",
"MIT",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VersionNotification:
"""Represent version notification."""
def _load(self):
"""Internal load of data from event."""
<|body_0|>
def value(self):
"""Override and add extra information."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.setText('... | stack_v2_sparse_classes_75kplus_train_069492 | 6,407 | permissive | [
{
"docstring": "Internal load of data from event.",
"name": "_load",
"signature": "def _load(self)"
},
{
"docstring": "Override and add extra information.",
"name": "value",
"signature": "def value(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010611 | Implement the Python class `VersionNotification` described below.
Class description:
Represent version notification.
Method signatures and docstrings:
- def _load(self): Internal load of data from event.
- def value(self): Override and add extra information. | Implement the Python class `VersionNotification` described below.
Class description:
Represent version notification.
Method signatures and docstrings:
- def _load(self): Internal load of data from event.
- def value(self): Override and add extra information.
<|skeleton|>
class VersionNotification:
"""Represent v... | f55f52787484fcf931c4653e7e241791f052c04f | <|skeleton|>
class VersionNotification:
"""Represent version notification."""
def _load(self):
"""Internal load of data from event."""
<|body_0|>
def value(self):
"""Override and add extra information."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VersionNotification:
"""Represent version notification."""
def _load(self):
"""Internal load of data from event."""
self.setText('New version available')
version = session.query('select asset.name, version from AssetVersion where id is "{0}"'.format(self._event['parent_id'])).all(... | the_stack_v2_python_sparse | source/ftrack_connect/ui/widget/notification_directive.py | IngenuityEngine/ftrack-connect | train | 0 |
5e125abc4641e56c13202c46454d4d8b9c218772 | [
"if dictionary is None and filename is not None:\n filename = os.path.join(os.path.dirname(__file__), 'prior_files', filename)\nsuper(CalibrationPriorDict, self).__init__(dictionary=dictionary, filename=filename)\nself.source = None",
"PriorDict.to_file(self, outdir=outdir, label=label)\nif self.source is not ... | <|body_start_0|>
if dictionary is None and filename is not None:
filename = os.path.join(os.path.dirname(__file__), 'prior_files', filename)
super(CalibrationPriorDict, self).__init__(dictionary=dictionary, filename=filename)
self.source = None
<|end_body_0|>
<|body_start_1|>
... | CalibrationPriorDict | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CalibrationPriorDict:
def __init__(self, dictionary=None, filename=None):
"""Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See superclass filename: str, optional See superclass"""
<|body_0|>
def to_file(self, outdir, label):
... | stack_v2_sparse_classes_75kplus_train_069493 | 30,339 | permissive | [
{
"docstring": "Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See superclass filename: str, optional See superclass",
"name": "__init__",
"signature": "def __init__(self, dictionary=None, filename=None)"
},
{
"docstring": "Write the prior to file... | 4 | stack_v2_sparse_classes_30k_train_027151 | Implement the Python class `CalibrationPriorDict` described below.
Class description:
Implement the CalibrationPriorDict class.
Method signatures and docstrings:
- def __init__(self, dictionary=None, filename=None): Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See su... | Implement the Python class `CalibrationPriorDict` described below.
Class description:
Implement the CalibrationPriorDict class.
Method signatures and docstrings:
- def __init__(self, dictionary=None, filename=None): Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See su... | 29a34a347ee97a303767bbc32003e93cae96e0d9 | <|skeleton|>
class CalibrationPriorDict:
def __init__(self, dictionary=None, filename=None):
"""Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See superclass filename: str, optional See superclass"""
<|body_0|>
def to_file(self, outdir, label):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CalibrationPriorDict:
def __init__(self, dictionary=None, filename=None):
"""Initialises a Prior set for Binary Black holes Parameters ---------- dictionary: dict, optional See superclass filename: str, optional See superclass"""
if dictionary is None and filename is not None:
file... | the_stack_v2_python_sparse | bilby/gw/prior.py | yi-fan-wang/bilby | train | 2 | |
1eb378f92879565898c3ac1f32e1f68b7c4acdf4 | [
"if obj:\n return settings.REVEAL_OPENSRP_ACTIVE\nreturn None",
"if obj and obj.parent:\n return obj.parent.id\nreturn None",
"if obj:\n if obj.level == settings.REVEAL_DISTRICT:\n return settings.REVEAL_OPENSRP_DISTRICT\n if obj.level == settings.REVEAL_RHC:\n return settings.REVEAL_O... | <|body_start_0|>
if obj:
return settings.REVEAL_OPENSRP_ACTIVE
return None
<|end_body_0|>
<|body_start_1|>
if obj and obj.parent:
return obj.parent.id
return None
<|end_body_1|>
<|body_start_2|>
if obj:
if obj.level == settings.REVEAL_DISTRIC... | A class to serialize locations as OpenSRP GeoJSON compatible data | LocationSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LocationSerializer:
"""A class to serialize locations as OpenSRP GeoJSON compatible data"""
def get_status(self, obj):
"""get location_type"""
<|body_0|>
def get_parentId(self, obj):
"""get parentId"""
<|body_1|>
def get_geographicLevel(self, obj):
... | stack_v2_sparse_classes_75kplus_train_069494 | 2,106 | permissive | [
{
"docstring": "get location_type",
"name": "get_status",
"signature": "def get_status(self, obj)"
},
{
"docstring": "get parentId",
"name": "get_parentId",
"signature": "def get_parentId(self, obj)"
},
{
"docstring": "get geographicLevel",
"name": "get_geographicLevel",
... | 3 | stack_v2_sparse_classes_30k_train_035361 | Implement the Python class `LocationSerializer` described below.
Class description:
A class to serialize locations as OpenSRP GeoJSON compatible data
Method signatures and docstrings:
- def get_status(self, obj): get location_type
- def get_parentId(self, obj): get parentId
- def get_geographicLevel(self, obj): get g... | Implement the Python class `LocationSerializer` described below.
Class description:
A class to serialize locations as OpenSRP GeoJSON compatible data
Method signatures and docstrings:
- def get_status(self, obj): get location_type
- def get_parentId(self, obj): get parentId
- def get_geographicLevel(self, obj): get g... | b3e0f4b5855abbf0298de6b66f2e9f472f2bf838 | <|skeleton|>
class LocationSerializer:
"""A class to serialize locations as OpenSRP GeoJSON compatible data"""
def get_status(self, obj):
"""get location_type"""
<|body_0|>
def get_parentId(self, obj):
"""get parentId"""
<|body_1|>
def get_geographicLevel(self, obj):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LocationSerializer:
"""A class to serialize locations as OpenSRP GeoJSON compatible data"""
def get_status(self, obj):
"""get location_type"""
if obj:
return settings.REVEAL_OPENSRP_ACTIVE
return None
def get_parentId(self, obj):
"""get parentId"""
... | the_stack_v2_python_sparse | mspray/apps/reveal/serializers.py | Frazerbesa/mspray | train | 0 |
be49cd072287ad54285e819bad7a3b0d5dc33250 | [
"blogpost_key = db.Key.from_path('BlogPost', int(post_id))\nblogpost_post = db.get(blogpost_key)\ncontent = blogpost_post.content\ntitle = blogpost_post.title\npost_user = blogpost_post.user\nlike_qry_str = \"Select * from Likes where post = '{}'\".format(post_id)\nlike_qry = db.GqlQuery(like_qry_str)\nlikes = -1\n... | <|body_start_0|>
blogpost_key = db.Key.from_path('BlogPost', int(post_id))
blogpost_post = db.get(blogpost_key)
content = blogpost_post.content
title = blogpost_post.title
post_user = blogpost_post.user
like_qry_str = "Select * from Likes where post = '{}'".format(post_id... | Class for permalink posts | PostPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PostPage:
"""Class for permalink posts"""
def get(self, post_id):
"""Get method for posts to be displayed at permalink"""
<|body_0|>
def post(self, post_id):
"""Comment post method"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
blogpost_key = d... | stack_v2_sparse_classes_75kplus_train_069495 | 1,957 | no_license | [
{
"docstring": "Get method for posts to be displayed at permalink",
"name": "get",
"signature": "def get(self, post_id)"
},
{
"docstring": "Comment post method",
"name": "post",
"signature": "def post(self, post_id)"
}
] | 2 | stack_v2_sparse_classes_30k_val_001059 | Implement the Python class `PostPage` described below.
Class description:
Class for permalink posts
Method signatures and docstrings:
- def get(self, post_id): Get method for posts to be displayed at permalink
- def post(self, post_id): Comment post method | Implement the Python class `PostPage` described below.
Class description:
Class for permalink posts
Method signatures and docstrings:
- def get(self, post_id): Get method for posts to be displayed at permalink
- def post(self, post_id): Comment post method
<|skeleton|>
class PostPage:
"""Class for permalink post... | 772be02396e5c6320b81ed0811ca2308a87f5190 | <|skeleton|>
class PostPage:
"""Class for permalink posts"""
def get(self, post_id):
"""Get method for posts to be displayed at permalink"""
<|body_0|>
def post(self, post_id):
"""Comment post method"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PostPage:
"""Class for permalink posts"""
def get(self, post_id):
"""Get method for posts to be displayed at permalink"""
blogpost_key = db.Key.from_path('BlogPost', int(post_id))
blogpost_post = db.get(blogpost_key)
content = blogpost_post.content
title = blogpost... | the_stack_v2_python_sparse | username/handlers/postpage.py | Jbrown95/g-app-projects | train | 0 |
1d100a9a04e53c02a8eae3c4fc2f9a5309ab5c44 | [
"if s == '':\n return s\nans = ''\nfor i in range(len(s)):\n res1 = self.Expand(s, i, i)\n res2 = self.Expand(s, i, i + 1)\n temp = res1 if len(res1) > len(res2) else res2\n ans = temp if len(temp) > len(ans) else ans\nreturn ans",
"while p >= 0 and q < len(s):\n if s[p] == s[q]:\n p -= 1... | <|body_start_0|>
if s == '':
return s
ans = ''
for i in range(len(s)):
res1 = self.Expand(s, i, i)
res2 = self.Expand(s, i, i + 1)
temp = res1 if len(res1) > len(res2) else res2
ans = temp if len(temp) > len(ans) else ans
return... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def Expand(self, s, p, q):
"""s中p，g为起点，比较是否相同"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if s == '':
return s
ans = ''
for i in rang... | stack_v2_sparse_classes_75kplus_train_069496 | 5,236 | no_license | [
{
"docstring": ":type s: str :rtype: str",
"name": "longestPalindrome",
"signature": "def longestPalindrome(self, s)"
},
{
"docstring": "s中p，g为起点，比较是否相同",
"name": "Expand",
"signature": "def Expand(self, s, p, q)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038874 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def Expand(self, s, p, q): s中p，g为起点，比较是否相同 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestPalindrome(self, s): :type s: str :rtype: str
- def Expand(self, s, p, q): s中p，g为起点，比较是否相同
<|skeleton|>
class Solution:
def longestPalindrome(self, s):
"... | 6046d535ebd139d1348e0f2eafdb4135b4e3f52e | <|skeleton|>
class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
<|body_0|>
def Expand(self, s, p, q):
"""s中p，g为起点，比较是否相同"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestPalindrome(self, s):
""":type s: str :rtype: str"""
if s == '':
return s
ans = ''
for i in range(len(s)):
res1 = self.Expand(s, i, i)
res2 = self.Expand(s, i, i + 1)
temp = res1 if len(res1) > len(res2) else r... | the_stack_v2_python_sparse | 005. Longest Palindromic Substring/solution.py | Neilqdddd/LeetCode | train | 1 | |
611d8ee2b513ddb0011a5b1d75ae54d9edb4a5a7 | [
"self.preprocessed_dataframe = preprocessed_data\nself.model_subset = pd.DataFrame()\nself.retrieval_subset = pd.DataFrame()\nself.model_dataset_index = pd.DataFrame()\nself.model_dataset = pd.DataFrame()\nself.retrieval_dataset = pd.DataFrame()\nself.retrieval_dataset_index = pd.DataFrame()",
"try:\n self.mod... | <|body_start_0|>
self.preprocessed_dataframe = preprocessed_data
self.model_subset = pd.DataFrame()
self.retrieval_subset = pd.DataFrame()
self.model_dataset_index = pd.DataFrame()
self.model_dataset = pd.DataFrame()
self.retrieval_dataset = pd.DataFrame()
self.re... | Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subset of preprocessed_dataframe for training a supervised translation classifi... | DataSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataSet:
"""Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subset of preprocessed_dataframe for trainin... | stack_v2_sparse_classes_75kplus_train_069497 | 5,067 | permissive | [
{
"docstring": "Initialize class by importing preprocessed data. Args: preprocessed_data (dataframe): Preprocessed dataframe of parallel translations.",
"name": "__init__",
"signature": "def __init__(self, preprocessed_data)"
},
{
"docstring": "Split data into model dataset and retrieval dataset... | 4 | stack_v2_sparse_classes_30k_train_004287 | Implement the Python class `DataSet` described below.
Class description:
Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subse... | Implement the Python class `DataSet` described below.
Class description:
Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subse... | 2fcfea31ee0d5f8db2e8ecec669ea199b732ada9 | <|skeleton|>
class DataSet:
"""Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subset of preprocessed_dataframe for trainin... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataSet:
"""Class for creating datasets for training a supervised translation classifier and for crosslingual information retrieval. Attributes: preprocessed_dataframe (dataframe): Preprocessed parallel translations dataframe. model_subset (dataframe): Subset of preprocessed_dataframe for training a supervise... | the_stack_v2_python_sparse | src/data/dataset_class.py | NiklasSabel/crosslingual-information-retrieval | train | 0 |
987ae6c835a0900db3aa68476a756d5ca97b8a74 | [
"menu_item.MenuItem.__init__(self, main_menu, frame)\nself.create_menu_item_button('User Management')\nself.menu_item_button['command'] = self.get_user_management_window",
"self.gui.active_window.hide()\nself.associated_window = user_management_window.UserManagementWindow(self.gui)\nself.gui.active_window = self.... | <|body_start_0|>
menu_item.MenuItem.__init__(self, main_menu, frame)
self.create_menu_item_button('User Management')
self.menu_item_button['command'] = self.get_user_management_window
<|end_body_0|>
<|body_start_1|>
self.gui.active_window.hide()
self.associated_window = user_man... | This class is used to create a button that will bring the user to the user management menu. | UserManagementMenuItem | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserManagementMenuItem:
"""This class is used to create a button that will bring the user to the user management menu."""
def __init__(self, main_menu, frame):
"""Args: main_menu ([]): this class must know about the main menu because it knows about the GUI, and we need to alter the G... | stack_v2_sparse_classes_75kplus_train_069498 | 1,091 | no_license | [
{
"docstring": "Args: main_menu ([]): this class must know about the main menu because it knows about the GUI, and we need to alter the GUI's active window",
"name": "__init__",
"signature": "def __init__(self, main_menu, frame)"
},
{
"docstring": "This function will hide everything on the activ... | 2 | stack_v2_sparse_classes_30k_train_043634 | Implement the Python class `UserManagementMenuItem` described below.
Class description:
This class is used to create a button that will bring the user to the user management menu.
Method signatures and docstrings:
- def __init__(self, main_menu, frame): Args: main_menu ([]): this class must know about the main menu b... | Implement the Python class `UserManagementMenuItem` described below.
Class description:
This class is used to create a button that will bring the user to the user management menu.
Method signatures and docstrings:
- def __init__(self, main_menu, frame): Args: main_menu ([]): this class must know about the main menu b... | e26d9450b98fa0f372bcdf6eaf251a2c9dcba44e | <|skeleton|>
class UserManagementMenuItem:
"""This class is used to create a button that will bring the user to the user management menu."""
def __init__(self, main_menu, frame):
"""Args: main_menu ([]): this class must know about the main menu because it knows about the GUI, and we need to alter the G... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UserManagementMenuItem:
"""This class is used to create a button that will bring the user to the user management menu."""
def __init__(self, main_menu, frame):
"""Args: main_menu ([]): this class must know about the main menu because it knows about the GUI, and we need to alter the GUI's active w... | the_stack_v2_python_sparse | user_interface/menu_items/user_management_menu_item.py | pucheng-tan/WordFlow | train | 0 |
5a2861277aa647784d680d3c08c1c58aea55f4e2 | [
"super().__init__('person', 'a person', loc)\nself.aggression = aggression\nself.seen_mouse = False\nself.path = ''\nself.home_room = loc",
"room = level.room_dict[self.location]\nif room.inventory.check_inventory('casted_scare') and self.aggression < 3:\n pass\nelif room.get_character_by_type(Mouse) and (not ... | <|body_start_0|>
super().__init__('person', 'a person', loc)
self.aggression = aggression
self.seen_mouse = False
self.path = ''
self.home_room = loc
<|end_body_0|>
<|body_start_1|>
room = level.room_dict[self.location]
if room.inventory.check_inventory('casted_s... | Person | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Person:
def __init__(self, loc, aggression=randrange(1, 5)):
"""Instantiates a Person character."""
<|body_0|>
def activate(self, level):
"""Determines how Person interacts with rooms, room invenstories (casted spells), and mouse in room."""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus_train_069499 | 11,037 | permissive | [
{
"docstring": "Instantiates a Person character.",
"name": "__init__",
"signature": "def __init__(self, loc, aggression=randrange(1, 5))"
},
{
"docstring": "Determines how Person interacts with rooms, room invenstories (casted spells), and mouse in room.",
"name": "activate",
"signature"... | 2 | null | Implement the Python class `Person` described below.
Class description:
Implement the Person class.
Method signatures and docstrings:
- def __init__(self, loc, aggression=randrange(1, 5)): Instantiates a Person character.
- def activate(self, level): Determines how Person interacts with rooms, room invenstories (cast... | Implement the Python class `Person` described below.
Class description:
Implement the Person class.
Method signatures and docstrings:
- def __init__(self, loc, aggression=randrange(1, 5)): Instantiates a Person character.
- def activate(self, level): Determines how Person interacts with rooms, room invenstories (cast... | f8bf97e03586a83c860845a383a32162b9bea74c | <|skeleton|>
class Person:
def __init__(self, loc, aggression=randrange(1, 5)):
"""Instantiates a Person character."""
<|body_0|>
def activate(self, level):
"""Determines how Person interacts with rooms, room invenstories (casted spells), and mouse in room."""
<|body_1|>
<|end... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Person:
def __init__(self, loc, aggression=randrange(1, 5)):
"""Instantiates a Person character."""
super().__init__('person', 'a person', loc)
self.aggression = aggression
self.seen_mouse = False
self.path = ''
self.home_room = loc
def activate(self, level... | the_stack_v2_python_sparse | Python/danger_mouse_game/character.py | jastr945/PDXclass | train | 0 |
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