blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 438 7.52k | id stringlengths 40 40 | length_bytes int64 506 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.25k | prompted_full_text stringlengths 645 10.7k | revision_id stringlengths 40 40 | skeleton stringlengths 162 4.34k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | solution stringlengths 302 7.33k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
e5f2d4eae3fea02c3a0c597cd7f4143a12753406 | [
"role_filterbackend = []\nif hasattr(view, 'get_roles_filterbackends'):\n roles_filterbackends = view.get_roles_filterbackends()\nelse:\n roles_filterbackends = getattr(view, 'roles_filterbackends', [])\nreturn roles_filterbackends",
"roles_filterbackends_name = []\nfilterbackend_ids = []\napi = self.get_ap... | <|body_start_0|>
role_filterbackend = []
if hasattr(view, 'get_roles_filterbackends'):
roles_filterbackends = view.get_roles_filterbackends()
else:
roles_filterbackends = getattr(view, 'roles_filterbackends', [])
return roles_filterbackends
<|end_body_0|>
<|body_... | RestFilterGenerator | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RestFilterGenerator:
def get_roles_filterbackends(self, view):
"""Return the `FilterSet` class used to filter the queryset."""
<|body_0|>
def update_roleFilterModel(self, request=None, public=False):
"""Generate a `rest permissions` into RestPermisson model."""
... | stack_v2_sparse_classes_36k_train_017600 | 2,439 | no_license | [
{
"docstring": "Return the `FilterSet` class used to filter the queryset.",
"name": "get_roles_filterbackends",
"signature": "def get_roles_filterbackends(self, view)"
},
{
"docstring": "Generate a `rest permissions` into RestPermisson model.",
"name": "update_roleFilterModel",
"signatur... | 2 | null | Implement the Python class `RestFilterGenerator` described below.
Class description:
Implement the RestFilterGenerator class.
Method signatures and docstrings:
- def get_roles_filterbackends(self, view): Return the `FilterSet` class used to filter the queryset.
- def update_roleFilterModel(self, request=None, public=... | Implement the Python class `RestFilterGenerator` described below.
Class description:
Implement the RestFilterGenerator class.
Method signatures and docstrings:
- def get_roles_filterbackends(self, view): Return the `FilterSet` class used to filter the queryset.
- def update_roleFilterModel(self, request=None, public=... | 3d0dbcf92642fe42293736f8bdf812d43e0cb67b | <|skeleton|>
class RestFilterGenerator:
def get_roles_filterbackends(self, view):
"""Return the `FilterSet` class used to filter the queryset."""
<|body_0|>
def update_roleFilterModel(self, request=None, public=False):
"""Generate a `rest permissions` into RestPermisson model."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RestFilterGenerator:
def get_roles_filterbackends(self, view):
"""Return the `FilterSet` class used to filter the queryset."""
role_filterbackend = []
if hasattr(view, 'get_roles_filterbackends'):
roles_filterbackends = view.get_roles_filterbackends()
else:
... | the_stack_v2_python_sparse | permissions/filterregist.py | catding/trainserver | train | 0 | |
046c73e02c5cb0f54fc4c07286ebcd28e470b6d9 | [
"self._total_size = None\nself.total_processed = 0\nself.total_elapsed = 0",
"col_width = 15\ncomplete_col_width = 60\nfile_elapsed = max(sys.float_info.epsilon, file_elapsed)\nif file_processed != file_size:\n elapsed = self.total_elapsed + file_elapsed\n processed = self.total_processed + file_processed\n... | <|body_start_0|>
self._total_size = None
self.total_processed = 0
self.total_elapsed = 0
<|end_body_0|>
<|body_start_1|>
col_width = 15
complete_col_width = 60
file_elapsed = max(sys.float_info.epsilon, file_elapsed)
if file_processed != file_size:
el... | ConsoleProgress | [
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConsoleProgress:
def __init__(self):
"""ConsoleProgress constructor."""
<|body_0|>
def __call__(self, file_path, file_processed, file_size, file_elapsed):
"""Callback for shaone_b64. Args: file_path (str): File absolute path. file_processed (int): Bytes processed for... | stack_v2_sparse_classes_36k_train_017601 | 7,138 | permissive | [
{
"docstring": "ConsoleProgress constructor.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Callback for shaone_b64. Args: file_path (str): File absolute path. file_processed (int): Bytes processed for the current file file_size (int): Size of the current file file_el... | 2 | null | Implement the Python class `ConsoleProgress` described below.
Class description:
Implement the ConsoleProgress class.
Method signatures and docstrings:
- def __init__(self): ConsoleProgress constructor.
- def __call__(self, file_path, file_processed, file_size, file_elapsed): Callback for shaone_b64. Args: file_path ... | Implement the Python class `ConsoleProgress` described below.
Class description:
Implement the ConsoleProgress class.
Method signatures and docstrings:
- def __init__(self): ConsoleProgress constructor.
- def __call__(self, file_path, file_processed, file_size, file_elapsed): Callback for shaone_b64. Args: file_path ... | 676698ae55a9123f5e6ac3669ef8f8cf1b100dac | <|skeleton|>
class ConsoleProgress:
def __init__(self):
"""ConsoleProgress constructor."""
<|body_0|>
def __call__(self, file_path, file_processed, file_size, file_elapsed):
"""Callback for shaone_b64. Args: file_path (str): File absolute path. file_processed (int): Bytes processed for... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConsoleProgress:
def __init__(self):
"""ConsoleProgress constructor."""
self._total_size = None
self.total_processed = 0
self.total_elapsed = 0
def __call__(self, file_path, file_processed, file_size, file_elapsed):
"""Callback for shaone_b64. Args: file_path (str)... | the_stack_v2_python_sparse | clairmeta/utils/file.py | Ymagis/ClairMeta | train | 74 | |
fb39332873cc47ce7bf2663492d3a110359ef1d5 | [
"s = sessionmanage(self.driver)\ns.open_sessionmanage()\nself.assertEqual(s.verify(), True)\ns.delete_obj()\nself.assertEqual(s.result(), '您确定要删除这条信息吗')\ns.confirm()\nself.assertEqual(s.reason(), '无权删除')\nfunction.screenshot(self.driver, 'session_delete.jpg')",
"s = sessionmanage(self.driver)\ns.open_sessionmanag... | <|body_start_0|>
s = sessionmanage(self.driver)
s.open_sessionmanage()
self.assertEqual(s.verify(), True)
s.delete_obj()
self.assertEqual(s.result(), '您确定要删除这条信息吗')
s.confirm()
self.assertEqual(s.reason(), '无权删除')
function.screenshot(self.driver, 'session_... | Test048_Session_Delete_P1 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test048_Session_Delete_P1:
def test_session_delete(self):
"""删除会话"""
<|body_0|>
def test_session_delete_cancle(self):
"""取消删除会话"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
s = sessionmanage(self.driver)
s.open_sessionmanage()
sel... | stack_v2_sparse_classes_36k_train_017602 | 1,111 | no_license | [
{
"docstring": "删除会话",
"name": "test_session_delete",
"signature": "def test_session_delete(self)"
},
{
"docstring": "取消删除会话",
"name": "test_session_delete_cancle",
"signature": "def test_session_delete_cancle(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014822 | Implement the Python class `Test048_Session_Delete_P1` described below.
Class description:
Implement the Test048_Session_Delete_P1 class.
Method signatures and docstrings:
- def test_session_delete(self): 删除会话
- def test_session_delete_cancle(self): 取消删除会话 | Implement the Python class `Test048_Session_Delete_P1` described below.
Class description:
Implement the Test048_Session_Delete_P1 class.
Method signatures and docstrings:
- def test_session_delete(self): 删除会话
- def test_session_delete_cancle(self): 取消删除会话
<|skeleton|>
class Test048_Session_Delete_P1:
def test_... | 6f42c25249fc642cecc270578a180820988d45b5 | <|skeleton|>
class Test048_Session_Delete_P1:
def test_session_delete(self):
"""删除会话"""
<|body_0|>
def test_session_delete_cancle(self):
"""取消删除会话"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test048_Session_Delete_P1:
def test_session_delete(self):
"""删除会话"""
s = sessionmanage(self.driver)
s.open_sessionmanage()
self.assertEqual(s.verify(), True)
s.delete_obj()
self.assertEqual(s.result(), '您确定要删除这条信息吗')
s.confirm()
self.assertEqual(... | the_stack_v2_python_sparse | GlxssLive_web/TestCase/Manage_Session/Test048_session_delete_P1.py | rrmiracle/GlxssLive | train | 0 | |
d6caca973b4a6afbcfce6986451f8096d03f83d6 | [
"for row in rows:\n if str(row.product_code) == product and str(row.activity) == state:\n if chart_type == 'order':\n product_data.append(int(row.orders))\n else:\n product_data.append(int(row.units))\n break\nelse:\n product_data.append(0)",
"product_data.append(0... | <|body_start_0|>
for row in rows:
if str(row.product_code) == product and str(row.activity) == state:
if chart_type == 'order':
product_data.append(int(row.orders))
else:
product_data.append(int(row.units))
break... | Gathers data for the various pipeline related charts that show progress through the workflow for all products. | PipelineChartProc | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the l... | stack_v2_sparse_classes_36k_train_017603 | 3,498 | no_license | [
{
"docstring": "Append the aggregate for the requested product / state combo to the list of data for the current product.",
"name": "_appendAggregate",
"signature": "def _appendAggregate(self, rows, product, state, chart_type, product_data)"
},
{
"docstring": "Append sum of the aggregates for th... | 3 | stack_v2_sparse_classes_30k_train_017664 | Implement the Python class `PipelineChartProc` described below.
Class description:
Gathers data for the various pipeline related charts that show progress through the workflow for all products.
Method signatures and docstrings:
- def _appendAggregate(self, rows, product, state, chart_type, product_data): Append the a... | Implement the Python class `PipelineChartProc` described below.
Class description:
Gathers data for the various pipeline related charts that show progress through the workflow for all products.
Method signatures and docstrings:
- def _appendAggregate(self, rows, product, state, chart_type, product_data): Append the a... | a0edcc220f5c950838c0d0a5e42ee06bb7f2c6ad | <|skeleton|>
class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the l... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PipelineChartProc:
"""Gathers data for the various pipeline related charts that show progress through the workflow for all products."""
def _appendAggregate(self, rows, product, state, chart_type, product_data):
"""Append the aggregate for the requested product / state combo to the list of data f... | the_stack_v2_python_sparse | pipelinechartproc.py | ryanlowe0/misc-python | train | 0 |
a7669150fc762245c8fb0d68f8df6901ff0b2d8d | [
"storage = get_storage()\nsite = storage.read_site(site_id)\nreturn jsonify(SiteResponseSchema().dump(site))",
"data = request.get_json()\ntry:\n changes = SiteUpdateSchema().load(data)\nexcept ValidationError as err:\n raise BadAPIRequest(err.messages)\nstorage = get_storage()\nchanges.update(changes.pop('... | <|body_start_0|>
storage = get_storage()
site = storage.read_site(site_id)
return jsonify(SiteResponseSchema().dump(site))
<|end_body_0|>
<|body_start_1|>
data = request.get_json()
try:
changes = SiteUpdateSchema().load(data)
except ValidationError as err:
... | SiteView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SiteView:
def get(self, site_id, *args):
"""--- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: application/json: schema: $ref: '#/components/schemas/SiteMetadata' 401: $ref: '#/components/response... | stack_v2_sparse_classes_36k_train_017604 | 10,882 | permissive | [
{
"docstring": "--- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: application/json: schema: $ref: '#/components/schemas/SiteMetadata' 401: $ref: '#/components/responses/401-Unauthorized' 404: $ref: '#/components/respons... | 3 | stack_v2_sparse_classes_30k_train_011434 | Implement the Python class `SiteView` described below.
Class description:
Implement the SiteView class.
Method signatures and docstrings:
- def get(self, site_id, *args): --- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: appl... | Implement the Python class `SiteView` described below.
Class description:
Implement the SiteView class.
Method signatures and docstrings:
- def get(self, site_id, *args): --- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: appl... | 280800c73eb7cfd49029462b352887e78f1ff91b | <|skeleton|>
class SiteView:
def get(self, site_id, *args):
"""--- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: application/json: schema: $ref: '#/components/schemas/SiteMetadata' 401: $ref: '#/components/response... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SiteView:
def get(self, site_id, *args):
"""--- summary: Get site metadata tags: - Sites parameters: - site_id responses: 200: description: Successfully retrieved site metadata. content: application/json: schema: $ref: '#/components/schemas/SiteMetadata' 401: $ref: '#/components/responses/401-Unauthor... | the_stack_v2_python_sparse | sfa_api/sites.py | SolarArbiter/solarforecastarbiter-api | train | 9 | |
38513bd6052296cccc1385f3a921f76e6da53ccd | [
"self.value = None\nself.trigger_time = None\nself.triggered = False",
"self.value = value\nself.trigger_time = time.time()\nself.triggered = True",
"self.value = value\nself.trigger_time = None\nself.triggered = False"
] | <|body_start_0|>
self.value = None
self.trigger_time = None
self.triggered = False
<|end_body_0|>
<|body_start_1|>
self.value = value
self.trigger_time = time.time()
self.triggered = True
<|end_body_1|>
<|body_start_2|>
self.value = value
self.trigger_ti... | Signal | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Signal:
def __init__(self):
"""Init the Signal. Used to signal between and within FL Components."""
<|body_0|>
def trigger(self, value):
"""Trigger the Signal. Args: value: set the value of the signal"""
<|body_1|>
def reset(self, value=None):
""... | stack_v2_sparse_classes_36k_train_017605 | 1,322 | permissive | [
{
"docstring": "Init the Signal. Used to signal between and within FL Components.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Trigger the Signal. Args: value: set the value of the signal",
"name": "trigger",
"signature": "def trigger(self, value)"
},
{
... | 3 | null | Implement the Python class `Signal` described below.
Class description:
Implement the Signal class.
Method signatures and docstrings:
- def __init__(self): Init the Signal. Used to signal between and within FL Components.
- def trigger(self, value): Trigger the Signal. Args: value: set the value of the signal
- def r... | Implement the Python class `Signal` described below.
Class description:
Implement the Signal class.
Method signatures and docstrings:
- def __init__(self): Init the Signal. Used to signal between and within FL Components.
- def trigger(self, value): Trigger the Signal. Args: value: set the value of the signal
- def r... | 1433290c203bd23f34c29e11795ce592bc067888 | <|skeleton|>
class Signal:
def __init__(self):
"""Init the Signal. Used to signal between and within FL Components."""
<|body_0|>
def trigger(self, value):
"""Trigger the Signal. Args: value: set the value of the signal"""
<|body_1|>
def reset(self, value=None):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Signal:
def __init__(self):
"""Init the Signal. Used to signal between and within FL Components."""
self.value = None
self.trigger_time = None
self.triggered = False
def trigger(self, value):
"""Trigger the Signal. Args: value: set the value of the signal"""
... | the_stack_v2_python_sparse | nvflare/apis/signal.py | NVIDIA/NVFlare | train | 442 | |
a7df9d3f14650330b23cde961bf59f203eeaed4c | [
"send_key(KEYCODE_POWER, LONG_PRESS)\nif search_text(notificationBar.get_value('airplanemodeon')):\n goback()\n return True\nelse:\n goback()\n return False",
"send_key(KEYCODE_POWER, LONG_PRESS)\nif search_text(notificationBar.get_value('airplanemodeon')):\n click_textview_by_text(notificationBar.... | <|body_start_0|>
send_key(KEYCODE_POWER, LONG_PRESS)
if search_text(notificationBar.get_value('airplanemodeon')):
goback()
return True
else:
goback()
return False
<|end_body_0|>
<|body_start_1|>
send_key(KEYCODE_POWER, LONG_PRESS)
... | test_suit_airplanemode_case2 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class test_suit_airplanemode_case2:
def IS_AirplaneMode_on(self):
"""This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off"""
<|body_0|>
def AirplaneMode_turnoff(self):
"""This function set the airplan mode off. @return:... | stack_v2_sparse_classes_36k_train_017606 | 4,192 | no_license | [
{
"docstring": "This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off",
"name": "IS_AirplaneMode_on",
"signature": "def IS_AirplaneMode_on(self)"
},
{
"docstring": "This function set the airplan mode off. @return: none",
"name": "AirplaneM... | 5 | null | Implement the Python class `test_suit_airplanemode_case2` described below.
Class description:
Implement the test_suit_airplanemode_case2 class.
Method signatures and docstrings:
- def IS_AirplaneMode_on(self): This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off
-... | Implement the Python class `test_suit_airplanemode_case2` described below.
Class description:
Implement the test_suit_airplanemode_case2 class.
Method signatures and docstrings:
- def IS_AirplaneMode_on(self): This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off
-... | a04b717ae437511abae1e7e9e399373c161a7b65 | <|skeleton|>
class test_suit_airplanemode_case2:
def IS_AirplaneMode_on(self):
"""This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off"""
<|body_0|>
def AirplaneMode_turnoff(self):
"""This function set the airplan mode off. @return:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class test_suit_airplanemode_case2:
def IS_AirplaneMode_on(self):
"""This function get the airplan mode. @rtype: boolean @return: True -airplan mode on, False-airplan mode off"""
send_key(KEYCODE_POWER, LONG_PRESS)
if search_text(notificationBar.get_value('airplanemodeon')):
goba... | the_stack_v2_python_sparse | test_env/test_suit_airplanemode/test_suit_airplanemode_case2.py | wwlwwlqaz/Qualcomm | train | 1 | |
f4338a955716d3a72a9fd7f3b4ca11cfdc04fe17 | [
"user = get_current_user()\nuser_info = UserInfo.query.filter_by(user_id=user.id).first()\nuser_info_schema = UserInfoSchema()\nuser_schema = UserSchema()\nresponse_data = user_info_schema.dump(user_info).data\nresponse_data.update(user_schema.dump(user).data)\nreturn json_response(response_data, message='ok')",
... | <|body_start_0|>
user = get_current_user()
user_info = UserInfo.query.filter_by(user_id=user.id).first()
user_info_schema = UserInfoSchema()
user_schema = UserSchema()
response_data = user_info_schema.dump(user_info).data
response_data.update(user_schema.dump(user).data)
... | UserInfoResource | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserInfoResource:
def get(self):
"""获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {"data": {"name": "", "signature": "", "email": ""}, "message": "ok"}"""
<|body_0|>
def put(self, **kwargs):
"""... | stack_v2_sparse_classes_36k_train_017607 | 10,463 | permissive | [
{
"docstring": "获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {\"data\": {\"name\": \"\", \"signature\": \"\", \"email\": \"\"}, \"message\": \"ok\"}",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "修改用户信息 -... | 2 | stack_v2_sparse_classes_30k_train_019513 | Implement the Python class `UserInfoResource` described below.
Class description:
Implement the UserInfoResource class.
Method signatures and docstrings:
- def get(self): 获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {"data": {"name": "", "signa... | Implement the Python class `UserInfoResource` described below.
Class description:
Implement the UserInfoResource class.
Method signatures and docstrings:
- def get(self): 获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {"data": {"name": "", "signa... | de894e8f8c163cb5aafe360dc146d1a4ded20ddb | <|skeleton|>
class UserInfoResource:
def get(self):
"""获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {"data": {"name": "", "signature": "", "email": ""}, "message": "ok"}"""
<|body_0|>
def put(self, **kwargs):
"""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserInfoResource:
def get(self):
"""获取用户基本信息 --- tags: - 用户 responses: 200: description: A list of colors (may be filtered by palette) examples: response: {"data": {"name": "", "signature": "", "email": ""}, "message": "ok"}"""
user = get_current_user()
user_info = UserInfo.query.filte... | the_stack_v2_python_sparse | arrplat/resources/user/views.py | zhengdeding/tefact-engine | train | 0 | |
68009ffe17ed207a579cdf3f777e0aaa3a10fc42 | [
"if len(tokens) == 1:\n return tokens[0] + ' ' * (maxWidth - len(tokens[0]))\nnumSpaces = maxWidth - sum((len(t) for t in tokens))\ngapLength = numSpaces / (len(tokens) - 1)\nextraSpaces = numSpaces % (len(tokens) - 1)\nleftGap = gapLength\nif extraSpaces != 0:\n res = ''\n for i in range(extraSpaces):\n ... | <|body_start_0|>
if len(tokens) == 1:
return tokens[0] + ' ' * (maxWidth - len(tokens[0]))
numSpaces = maxWidth - sum((len(t) for t in tokens))
gapLength = numSpaces / (len(tokens) - 1)
extraSpaces = numSpaces % (len(tokens) - 1)
leftGap = gapLength
if extraSp... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reorderSpaces(self, tokens, maxWidth):
""":type text: str :rtype: str"""
<|body_0|>
def fullJustify(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_017608 | 1,963 | no_license | [
{
"docstring": ":type text: str :rtype: str",
"name": "reorderSpaces",
"signature": "def reorderSpaces(self, tokens, maxWidth)"
},
{
"docstring": ":type words: List[str] :type maxWidth: int :rtype: List[str]",
"name": "fullJustify",
"signature": "def fullJustify(self, words, maxWidth)"
... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reorderSpaces(self, tokens, maxWidth): :type text: str :rtype: str
- def fullJustify(self, words, maxWidth): :type words: List[str] :type maxWidth: int :rtype: List[str] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reorderSpaces(self, tokens, maxWidth): :type text: str :rtype: str
- def fullJustify(self, words, maxWidth): :type words: List[str] :type maxWidth: int :rtype: List[str]
<|s... | 0821af55eca60084b503b5f751301048c55e4381 | <|skeleton|>
class Solution:
def reorderSpaces(self, tokens, maxWidth):
""":type text: str :rtype: str"""
<|body_0|>
def fullJustify(self, words, maxWidth):
""":type words: List[str] :type maxWidth: int :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reorderSpaces(self, tokens, maxWidth):
""":type text: str :rtype: str"""
if len(tokens) == 1:
return tokens[0] + ' ' * (maxWidth - len(tokens[0]))
numSpaces = maxWidth - sum((len(t) for t in tokens))
gapLength = numSpaces / (len(tokens) - 1)
ex... | the_stack_v2_python_sparse | Hard/LC68.py | shuowenwei/LeetCodePython | train | 2 | |
330beae971f451d968e900b5576ae4d54a8d6f18 | [
"res = []\n\ndef traverse(root):\n if root is None:\n res.append('#')\n else:\n res.append(str(root.val))\n traverse(root.left)\n traverse(root.right)\ntraverse(root)\nreturn ','.join(res)",
"if data is None:\n return None\n\ndef constructTree():\n try:\n val = vals.... | <|body_start_0|>
res = []
def traverse(root):
if root is None:
res.append('#')
else:
res.append(str(root.val))
traverse(root.left)
traverse(root.right)
traverse(root)
return ','.join(res)
<|end_body_... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_017609 | 1,325 | 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_016505 | 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:... | 56e33dff3918e371f14d6f7ef03f8951056cc273 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
res = []
def traverse(root):
if root is None:
res.append('#')
else:
res.append(str(root.val))
traverse(ro... | the_stack_v2_python_sparse | accepted/Serialize and Deserialize Binary Tree.py | hustlrr/leetcode | train | 4 | |
2a344cde064c4f6dc55cc8913569fddb19537382 | [
"self.color = color\nif fill is None:\n fill = color\nself.fill = fill\nself.length = length\nif width is None:\n width = length / 2\nself.width = width\nself.rotation = rotation",
"table_str = f'Ball2dTable:{self.color}'\ntable_str += f' length:{self.length} x {self.width} ft'\nreturn table_str"
] | <|body_start_0|>
self.color = color
if fill is None:
fill = color
self.fill = fill
self.length = length
if width is None:
width = length / 2
self.width = width
self.rotation = rotation
<|end_body_0|>
<|body_start_1|>
table_str = f'... | Ball2dTable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Ball2dTable:
def __init__(self, color='green', fill=None, length=9, width=None, rotation=None):
"""Define/Setup Tables's attributes :color: table's color default: green :fill: table fill color default: same as color :length: length in feet default: 9 :width: width in feet default: length... | stack_v2_sparse_classes_36k_train_017610 | 1,423 | no_license | [
{
"docstring": "Define/Setup Tables's attributes :color: table's color default: green :fill: table fill color default: same as color :length: length in feet default: 9 :width: width in feet default: length/2 :rotation: length orientation in degrees default: No rotation",
"name": "__init__",
"signature":... | 2 | stack_v2_sparse_classes_30k_val_000844 | Implement the Python class `Ball2dTable` described below.
Class description:
Implement the Ball2dTable class.
Method signatures and docstrings:
- def __init__(self, color='green', fill=None, length=9, width=None, rotation=None): Define/Setup Tables's attributes :color: table's color default: green :fill: table fill c... | Implement the Python class `Ball2dTable` described below.
Class description:
Implement the Ball2dTable class.
Method signatures and docstrings:
- def __init__(self, color='green', fill=None, length=9, width=None, rotation=None): Define/Setup Tables's attributes :color: table's color default: green :fill: table fill c... | bedc16eb5f6db0ad3b313355df6d51b5161c3835 | <|skeleton|>
class Ball2dTable:
def __init__(self, color='green', fill=None, length=9, width=None, rotation=None):
"""Define/Setup Tables's attributes :color: table's color default: green :fill: table fill color default: same as color :length: length in feet default: 9 :width: width in feet default: length... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Ball2dTable:
def __init__(self, color='green', fill=None, length=9, width=None, rotation=None):
"""Define/Setup Tables's attributes :color: table's color default: green :fill: table fill color default: same as color :length: length in feet default: 9 :width: width in feet default: length/2 :rotation: ... | the_stack_v2_python_sparse | exercises/classes/ball_classes/ball_2d_table.py | raysmith619/Introduction-To-Programming | train | 3 | |
9677618f7e10d1b0a8472e4d5fb7f9e9cc540474 | [
"super(TunnelInterface, self).__init__(vrf_name=vrf_name, if_name=if_name)\nself.uni_if_name = uni_if_name\nself.uni_vlan_id = uni_vlan_id\nself.tunnel_source = tunnel_source",
"parame = self._get_param()\ncomm_txt = 'interface %(if_name)s'\nself._append_add_command(comm_txt, parame)\ncomm_txt = 'vrf forwarding %... | <|body_start_0|>
super(TunnelInterface, self).__init__(vrf_name=vrf_name, if_name=if_name)
self.uni_if_name = uni_if_name
self.uni_vlan_id = uni_vlan_id
self.tunnel_source = tunnel_source
<|end_body_0|>
<|body_start_1|>
parame = self._get_param()
comm_txt = 'interface %(... | Parts Class for ASR driver tunnel interface configuration | TunnelInterface | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TunnelInterface:
"""Parts Class for ASR driver tunnel interface configuration"""
def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None):
"""Costructor"""
<|body_0|>
def output_add_command(self):
"""Command line to ... | stack_v2_sparse_classes_36k_train_017611 | 2,544 | permissive | [
{
"docstring": "Costructor",
"name": "__init__",
"signature": "def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None)"
},
{
"docstring": "Command line to add configuration is output.",
"name": "output_add_command",
"signature": "def output... | 3 | stack_v2_sparse_classes_30k_train_003279 | Implement the Python class `TunnelInterface` described below.
Class description:
Parts Class for ASR driver tunnel interface configuration
Method signatures and docstrings:
- def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None): Costructor
- def output_add_command(se... | Implement the Python class `TunnelInterface` described below.
Class description:
Parts Class for ASR driver tunnel interface configuration
Method signatures and docstrings:
- def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None): Costructor
- def output_add_command(se... | e550d1b5ec9419f1fb3eb6e058ce46b57c92ee2f | <|skeleton|>
class TunnelInterface:
"""Parts Class for ASR driver tunnel interface configuration"""
def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None):
"""Costructor"""
<|body_0|>
def output_add_command(self):
"""Command line to ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TunnelInterface:
"""Parts Class for ASR driver tunnel interface configuration"""
def __init__(self, vrf_name=None, if_name=None, uni_if_name=None, uni_vlan_id=None, tunnel_source=None):
"""Costructor"""
super(TunnelInterface, self).__init__(vrf_name=vrf_name, if_name=if_name)
self... | the_stack_v2_python_sparse | lib/SeparateDriver/ASRDriverParts/TunnelInterface.py | lixiaochun/element-manager | train | 0 |
5bd95bcc51b394f57115924fdfd730e0f6226a53 | [
"self.classifier = classifier\nself.regressor = regressor\nself.classFields = classFields\nself.regFields = regFields",
"y = np.ravel(y)\nposYInd = y > 0\nbinaryY = copy(y)\nbinaryY[posYInd] = 1\nx_classify = X[:, self.classFields]\ny_classify = binaryY\nif sample_weight is not None and 'sample_weight' in self.cl... | <|body_start_0|>
self.classifier = classifier
self.regressor = regressor
self.classFields = classFields
self.regFields = regFields
<|end_body_0|>
<|body_start_1|>
y = np.ravel(y)
posYInd = y > 0
binaryY = copy(y)
binaryY[posYInd] = 1
x_classify = ... | First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's. | ClassifyThenRegress | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ClassifyThenRegress:
"""First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's."""
def __init__(self, classifier, regressor, classFields, regFields):
""":param classifier: :param regressor: :param classFi... | stack_v2_sparse_classes_36k_train_017612 | 2,216 | no_license | [
{
"docstring": ":param classifier: :param regressor: :param classFields: array of column indicators used for classification :param regFields: array of column indicators used for regression :return:",
"name": "__init__",
"signature": "def __init__(self, classifier, regressor, classFields, regFields)"
}... | 3 | stack_v2_sparse_classes_30k_train_010837 | Implement the Python class `ClassifyThenRegress` described below.
Class description:
First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's.
Method signatures and docstrings:
- def __init__(self, classifier, regressor, classFields, regFie... | Implement the Python class `ClassifyThenRegress` described below.
Class description:
First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's.
Method signatures and docstrings:
- def __init__(self, classifier, regressor, classFields, regFie... | 35d20eeef168f69586b49bd87db30cbf2839beb4 | <|skeleton|>
class ClassifyThenRegress:
"""First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's."""
def __init__(self, classifier, regressor, classFields, regFields):
""":param classifier: :param regressor: :param classFi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ClassifyThenRegress:
"""First use classification to figure out which y's are positive. Then use regression to figure out the actual values of the positive y's."""
def __init__(self, classifier, regressor, classFields, regFields):
""":param classifier: :param regressor: :param classFields: array o... | the_stack_v2_python_sparse | Fire/ClassifyThenRegress.py | j-planet/Kaggle | train | 0 |
eed95ae6f4d8b99017743000c4ef8ed20e112582 | [
"if not hasattr(filename, 'read'):\n raise ParseError('Item to parse must be a file-like object.')\nf = codecs.getreader('utf-8')(filename)\nself.file = f\nself.buffer = ''\nwhile True:\n self.line = self.readline()\n if self.line is None:\n break\n if self.line == '':\n raise ParseError(f... | <|body_start_0|>
if not hasattr(filename, 'read'):
raise ParseError('Item to parse must be a file-like object.')
f = codecs.getreader('utf-8')(filename)
self.file = f
self.buffer = ''
while True:
self.line = self.readline()
if self.line is None... | This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples. | CustomNTriplesParser | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomNTriplesParser:
"""This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples."""
def parse(self, filename: str) -> Generator:
"""Parses an N-Triples file and yields triples. Parameters ---------- filename: str T... | stack_v2_sparse_classes_36k_train_017613 | 2,156 | permissive | [
{
"docstring": "Parses an N-Triples file and yields triples. Parameters ---------- filename: str The filename to parse Returns ------- Generator A generator for triples",
"name": "parse",
"signature": "def parse(self, filename: str) -> Generator"
},
{
"docstring": "Parse each line and yield trip... | 2 | stack_v2_sparse_classes_30k_train_013494 | Implement the Python class `CustomNTriplesParser` described below.
Class description:
This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples.
Method signatures and docstrings:
- def parse(self, filename: str) -> Generator: Parses an N-Triples file ... | Implement the Python class `CustomNTriplesParser` described below.
Class description:
This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples.
Method signatures and docstrings:
- def parse(self, filename: str) -> Generator: Parses an N-Triples file ... | 24349ca4931734301bd3c45e17a6a0a27a3a42ad | <|skeleton|>
class CustomNTriplesParser:
"""This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples."""
def parse(self, filename: str) -> Generator:
"""Parses an N-Triples file and yields triples. Parameters ---------- filename: str T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomNTriplesParser:
"""This class is an extension to ``rdflib.plugins.parsers.ntriples.W3CNTriplesParser`` that parses N-Triples and yields triples."""
def parse(self, filename: str) -> Generator:
"""Parses an N-Triples file and yields triples. Parameters ---------- filename: str The filename t... | the_stack_v2_python_sparse | kgx/parsers/ntriples_parser.py | biolink/kgx | train | 64 |
87da29dba6340ec4955cc8c858e6108d0a19d6ed | [
"super(LMLossLayer, self).__init__(**kwargs)\nself.n_token = n_token\nself.d_model = d_model\nself.initializer = initializer\nself.tie_weight = tie_weight\nself.bi_data = bi_data\nself.use_tpu = use_tpu\nself.use_proj = use_proj",
"if self.use_proj:\n self.proj_layer = tf.keras.layers.Dense(units=self.d_model,... | <|body_start_0|>
super(LMLossLayer, self).__init__(**kwargs)
self.n_token = n_token
self.d_model = d_model
self.initializer = initializer
self.tie_weight = tie_weight
self.bi_data = bi_data
self.use_tpu = use_tpu
self.use_proj = use_proj
<|end_body_0|>
<|... | Layer computing cross entropy loss for language modeling. | LMLossLayer | [
"MIT",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LMLossLayer:
"""Layer computing cross entropy loss for language modeling."""
def __init__(self, n_token, d_model, initializer, tie_weight=False, bi_data=True, use_tpu=False, use_proj=False, **kwargs):
"""Constructs LMLoss layer. Args: n_token: Number of tokens in vocabulary. d_model:... | stack_v2_sparse_classes_36k_train_017614 | 46,062 | permissive | [
{
"docstring": "Constructs LMLoss layer. Args: n_token: Number of tokens in vocabulary. d_model: The dimension of model hidden state. initializer: Initializer used for parameters. tie_weight: Whether to share weights between embedding lookup layer and next-token prediction layer. bi_data: Whether to use bidirec... | 3 | stack_v2_sparse_classes_30k_train_007089 | Implement the Python class `LMLossLayer` described below.
Class description:
Layer computing cross entropy loss for language modeling.
Method signatures and docstrings:
- def __init__(self, n_token, d_model, initializer, tie_weight=False, bi_data=True, use_tpu=False, use_proj=False, **kwargs): Constructs LMLoss layer... | Implement the Python class `LMLossLayer` described below.
Class description:
Layer computing cross entropy loss for language modeling.
Method signatures and docstrings:
- def __init__(self, n_token, d_model, initializer, tie_weight=False, bi_data=True, use_tpu=False, use_proj=False, **kwargs): Constructs LMLoss layer... | a115d918f6894a69586174653172be0b5d1de952 | <|skeleton|>
class LMLossLayer:
"""Layer computing cross entropy loss for language modeling."""
def __init__(self, n_token, d_model, initializer, tie_weight=False, bi_data=True, use_tpu=False, use_proj=False, **kwargs):
"""Constructs LMLoss layer. Args: n_token: Number of tokens in vocabulary. d_model:... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LMLossLayer:
"""Layer computing cross entropy loss for language modeling."""
def __init__(self, n_token, d_model, initializer, tie_weight=False, bi_data=True, use_tpu=False, use_proj=False, **kwargs):
"""Constructs LMLoss layer. Args: n_token: Number of tokens in vocabulary. d_model: The dimensio... | the_stack_v2_python_sparse | models/official/nlp/xlnet/xlnet_modeling.py | finnickniu/tensorflow_object_detection_tflite | train | 60 |
beacdd2c2d395d1cf2a58654fe73a5ff4286b64f | [
"counter = 0\nlength = len(height)\nfor i in range(1, length - 1):\n j = i\n max_left = max_right = 0\n while j >= 0:\n max_left = max(max_left, height[j])\n j -= 1\n j = i\n while j < length:\n max_right = max(max_right, height[j])\n j += 1\n counter += min(max_left, m... | <|body_start_0|>
counter = 0
length = len(height)
for i in range(1, length - 1):
j = i
max_left = max_right = 0
while j >= 0:
max_left = max(max_left, height[j])
j -= 1
j = i
while j < length:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def trap2(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
counter = 0
length = len(height)
f... | stack_v2_sparse_classes_36k_train_017615 | 1,495 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "trap",
"signature": "def trap(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "trap2",
"signature": "def trap2(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_021435 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(self, height): :type height: List[int] :rtype: int
- def trap2(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(self, height): :type height: List[int] :rtype: int
- def trap2(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def trap(self, heigh... | a8b59573dc201438ebd5a5ab64e9ac61255a4abd | <|skeleton|>
class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def trap2(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def trap(self, height):
""":type height: List[int] :rtype: int"""
counter = 0
length = len(height)
for i in range(1, length - 1):
j = i
max_left = max_right = 0
while j >= 0:
max_left = max(max_left, height[j])
... | the_stack_v2_python_sparse | summer/2018_07_11/trapping_rain_water.py | shaheming/leecode | train | 0 | |
c5840b6b6333b2b9b1e2de5721f60b86db05dec1 | [
"in_straight_section = not train.current_head_section.is_turnout()\nall_next_sections_blocked = all((dispatcher.is_section_occupied(section, train.is_reversed) for section in dispatcher.sections_mapper.get_next_sections(train.current_head_section, train.is_reversed)))\nreturn len(dispatcher.sections_mapper.get_next... | <|body_start_0|>
in_straight_section = not train.current_head_section.is_turnout()
all_next_sections_blocked = all((dispatcher.is_section_occupied(section, train.is_reversed) for section in dispatcher.sections_mapper.get_next_sections(train.current_head_section, train.is_reversed)))
return len(d... | ReverseAction | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReverseAction:
def is_applicable(dispatcher, train):
"""Overrides the parent action to define the criteria for ReverseAction application"""
<|body_0|>
def execute(self, dispatcher, train):
"""Overrides the base action execution to perform the train action of wait for... | stack_v2_sparse_classes_36k_train_017616 | 2,712 | no_license | [
{
"docstring": "Overrides the parent action to define the criteria for ReverseAction application",
"name": "is_applicable",
"signature": "def is_applicable(dispatcher, train)"
},
{
"docstring": "Overrides the base action execution to perform the train action of wait for crossing",
"name": "e... | 2 | stack_v2_sparse_classes_30k_train_020929 | Implement the Python class `ReverseAction` described below.
Class description:
Implement the ReverseAction class.
Method signatures and docstrings:
- def is_applicable(dispatcher, train): Overrides the parent action to define the criteria for ReverseAction application
- def execute(self, dispatcher, train): Overrides... | Implement the Python class `ReverseAction` described below.
Class description:
Implement the ReverseAction class.
Method signatures and docstrings:
- def is_applicable(dispatcher, train): Overrides the parent action to define the criteria for ReverseAction application
- def execute(self, dispatcher, train): Overrides... | 4650433f7f860df3de1f7502cb052891c410618d | <|skeleton|>
class ReverseAction:
def is_applicable(dispatcher, train):
"""Overrides the parent action to define the criteria for ReverseAction application"""
<|body_0|>
def execute(self, dispatcher, train):
"""Overrides the base action execution to perform the train action of wait for... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReverseAction:
def is_applicable(dispatcher, train):
"""Overrides the parent action to define the criteria for ReverseAction application"""
in_straight_section = not train.current_head_section.is_turnout()
all_next_sections_blocked = all((dispatcher.is_section_occupied(section, train.i... | the_stack_v2_python_sparse | code/app/simulation/action/reverse.py | ferdn4ndo/the-train-app | train | 0 | |
c90f6d07747be45cbd54cb35939ca888b7be9e95 | [
"if not s and (not pattern):\n return True\nif s and (not pattern):\n return False\nif not s and pattern:\n if len(pattern) > 1 and pattern[1] == '*':\n return self.match(s, pattern[2:])\n else:\n return False\nif len(pattern) > 1 and pattern[1] == '*':\n if s[0] != pattern[0] and patte... | <|body_start_0|>
if not s and (not pattern):
return True
if s and (not pattern):
return False
if not s and pattern:
if len(pattern) > 1 and pattern[1] == '*':
return self.match(s, pattern[2:])
else:
return False
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def match(self, s, pattern):
"""递归回溯"""
<|body_0|>
def match2(self, s, pattern):
"""动态规划 定义状态 i 和 j，分别表示 s中前i个字符和pattern中前j个字符是否匹配，就是求dp[i][j] 假设已知 dp[i-1][j-1]，根据目前的s[i] 和 pattern[j]，求出dp[i][j] 初始状态中：dp[0][0] = True 1. s[i] == pattern[j] or pattern[j] == '... | stack_v2_sparse_classes_36k_train_017617 | 5,729 | no_license | [
{
"docstring": "递归回溯",
"name": "match",
"signature": "def match(self, s, pattern)"
},
{
"docstring": "动态规划 定义状态 i 和 j，分别表示 s中前i个字符和pattern中前j个字符是否匹配，就是求dp[i][j] 假设已知 dp[i-1][j-1]，根据目前的s[i] 和 pattern[j]，求出dp[i][j] 初始状态中：dp[0][0] = True 1. s[i] == pattern[j] or pattern[j] == '.' 此时由于两个元素能匹配上，所以 dp... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def match(self, s, pattern): 递归回溯
- def match2(self, s, pattern): 动态规划 定义状态 i 和 j，分别表示 s中前i个字符和pattern中前j个字符是否匹配，就是求dp[i][j] 假设已知 dp[i-1][j-1]，根据目前的s[i] 和 pattern[j]，求出dp[i][j] 初... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def match(self, s, pattern): 递归回溯
- def match2(self, s, pattern): 动态规划 定义状态 i 和 j，分别表示 s中前i个字符和pattern中前j个字符是否匹配，就是求dp[i][j] 假设已知 dp[i-1][j-1]，根据目前的s[i] 和 pattern[j]，求出dp[i][j] 初... | 3508e1ce089131b19603c3206aab4cf43023bb19 | <|skeleton|>
class Solution:
def match(self, s, pattern):
"""递归回溯"""
<|body_0|>
def match2(self, s, pattern):
"""动态规划 定义状态 i 和 j，分别表示 s中前i个字符和pattern中前j个字符是否匹配，就是求dp[i][j] 假设已知 dp[i-1][j-1]，根据目前的s[i] 和 pattern[j]，求出dp[i][j] 初始状态中：dp[0][0] = True 1. s[i] == pattern[j] or pattern[j] == '... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def match(self, s, pattern):
"""递归回溯"""
if not s and (not pattern):
return True
if s and (not pattern):
return False
if not s and pattern:
if len(pattern) > 1 and pattern[1] == '*':
return self.match(s, pattern[2:])
... | the_stack_v2_python_sparse | algorithm/牛客网/52-正则表达式匹配.py | lxconfig/UbuntuCode_bak | train | 0 | |
29151565280226ecfcc515cbbbc28d62cf956deb | [
"with Database() as db:\n if id_hazardous_material is None and is_active is None:\n data = db.query(Table).all()\n elif id_hazardous_material is None:\n data = db.query(Table).filter(Table.is_active == is_active).all()\n else:\n data = db.query(Table).get(id_hazardous_material)\nreturn... | <|body_start_0|>
with Database() as db:
if id_hazardous_material is None and is_active is None:
data = db.query(Table).all()
elif id_hazardous_material is None:
data = db.query(Table).filter(Table.is_active == is_active).all()
else:
... | HazardousMaterial | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HazardousMaterial:
def get(self, id_hazardous_material=None, is_active=None):
"""Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BOOLEAN"""
<|body_0|>
def create(self, body):
"""Create a new hazardous material :param... | stack_v2_sparse_classes_36k_train_017618 | 3,514 | no_license | [
{
"docstring": "Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BOOLEAN",
"name": "get",
"signature": "def get(self, id_hazardous_material=None, is_active=None)"
},
{
"docstring": "Create a new hazardous material :param body: { number: STRING, n... | 4 | null | Implement the Python class `HazardousMaterial` described below.
Class description:
Implement the HazardousMaterial class.
Method signatures and docstrings:
- def get(self, id_hazardous_material=None, is_active=None): Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BO... | Implement the Python class `HazardousMaterial` described below.
Class description:
Implement the HazardousMaterial class.
Method signatures and docstrings:
- def get(self, id_hazardous_material=None, is_active=None): Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BO... | 43bd57c466a5cd3b133ddc437cb4a6b9f007d267 | <|skeleton|>
class HazardousMaterial:
def get(self, id_hazardous_material=None, is_active=None):
"""Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BOOLEAN"""
<|body_0|>
def create(self, body):
"""Create a new hazardous material :param... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class HazardousMaterial:
def get(self, id_hazardous_material=None, is_active=None):
"""Return all information for hazardous material :param id_hazardous_material: UUID :param is_active: BOOLEAN"""
with Database() as db:
if id_hazardous_material is None and is_active is None:
... | the_stack_v2_python_sparse | resturls/hazardousmaterial.py | CAUCA-9-1-1/survip-api | train | 1 | |
9a4362ecc22fc9c986529a2e8d13720fd8200e55 | [
"total = 0\nst = set()\npremod = 0\nfor i, n in enumerate(nums):\n total += n\n remain = total % k if k else total\n if i > 0:\n if remain in st:\n return True\n st.add(premod)\n premod = remain\nreturn False",
"modset = set()\ntotal = 0\nprevious_remain = 0\nfor i, n in enumerate... | <|body_start_0|>
total = 0
st = set()
premod = 0
for i, n in enumerate(nums):
total += n
remain = total % k if k else total
if i > 0:
if remain in st:
return True
st.add(premod)
premod = remai... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def checkSubarraySum(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k"""
<|body_0|>
def rewrite(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的modu... | stack_v2_sparse_classes_36k_train_017619 | 3,215 | no_license | [
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k",
"name": "checkSubarraySum",
"signature": "def checkSubarraySum(self, nums, k)"
},
{
"docstring": ":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的module 必為 0 ... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkSubarraySum(self, nums, k): :type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k
- def rewrite(self, nums, k): :type nums: L... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def checkSubarraySum(self, nums, k): :type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k
- def rewrite(self, nums, k): :type nums: L... | 6350568d16b0f8c49a020f055bb6d72e2705ea56 | <|skeleton|>
class Solution:
def checkSubarraySum(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k"""
<|body_0|>
def rewrite(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的modu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def checkSubarraySum(self, nums, k):
""":type nums: List[int] :type k: int :rtype: bool 原因? 因為! 只要這個的和 - 之前的和的 module 必為 0 , 則這兩個差的和可以整除k"""
total = 0
st = set()
premod = 0
for i, n in enumerate(nums):
total += n
remain = total % k if k... | the_stack_v2_python_sparse | co_fb/523_Continuous_Subarray_Sum.py | vsdrun/lc_public | train | 6 | |
5d234754d472f370ae42ef7dc53672e56728e603 | [
"self.plugin = ResolveWindComponents()\nwind_speed = 10.0 * np.ones((4, 4), dtype=np.float32)\nwind_angle = np.array([[0.0, 30.0, 45.0, 60.0], [90.0, 120.0, 135.0, 150.0], [180.0, 210.0, 225.0, 240.0], [270.0, 300.0, 315.0, 330.0]], dtype=np.float32)\nself.wind_cube = set_up_cube(wind_speed, 'wind_speed', 'knots')\... | <|body_start_0|>
self.plugin = ResolveWindComponents()
wind_speed = 10.0 * np.ones((4, 4), dtype=np.float32)
wind_angle = np.array([[0.0, 30.0, 45.0, 60.0], [90.0, 120.0, 135.0, 150.0], [180.0, 210.0, 225.0, 240.0], [270.0, 300.0, 315.0, 330.0]], dtype=np.float32)
self.wind_cube = set_up... | Tests the resolve_wind_components method | Test_resolve_wind_components | [
"BSD-3-Clause",
"LicenseRef-scancode-proprietary-license"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Test_resolve_wind_components:
"""Tests the resolve_wind_components method"""
def setUp(self):
"""Set up some arrays to convert"""
<|body_0|>
def test_basic(self):
"""Test function returns correct type"""
<|body_1|>
def test_values(self):
"""T... | stack_v2_sparse_classes_36k_train_017620 | 11,161 | permissive | [
{
"docstring": "Set up some arrays to convert",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Test function returns correct type",
"name": "test_basic",
"signature": "def test_basic(self)"
},
{
"docstring": "Test correct values are returned for well-behaved a... | 3 | null | Implement the Python class `Test_resolve_wind_components` described below.
Class description:
Tests the resolve_wind_components method
Method signatures and docstrings:
- def setUp(self): Set up some arrays to convert
- def test_basic(self): Test function returns correct type
- def test_values(self): Test correct val... | Implement the Python class `Test_resolve_wind_components` described below.
Class description:
Tests the resolve_wind_components method
Method signatures and docstrings:
- def setUp(self): Set up some arrays to convert
- def test_basic(self): Test function returns correct type
- def test_values(self): Test correct val... | cd2c9019944345df1e703bf8f625db537ad9f559 | <|skeleton|>
class Test_resolve_wind_components:
"""Tests the resolve_wind_components method"""
def setUp(self):
"""Set up some arrays to convert"""
<|body_0|>
def test_basic(self):
"""Test function returns correct type"""
<|body_1|>
def test_values(self):
"""T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Test_resolve_wind_components:
"""Tests the resolve_wind_components method"""
def setUp(self):
"""Set up some arrays to convert"""
self.plugin = ResolveWindComponents()
wind_speed = 10.0 * np.ones((4, 4), dtype=np.float32)
wind_angle = np.array([[0.0, 30.0, 45.0, 60.0], [90... | the_stack_v2_python_sparse | improver_tests/wind_calculations/wind_components/test_ResolveWindComponents.py | metoppv/improver | train | 101 |
6ecf34203786a82cdb3426efc7f51ca34580021e | [
"event.reviewed = True\nevent.save()\nmsg = f'用户 {user} 将培训活动 {event} 标记为已审核'\nprod_logger.info(msg)",
"if re.search('[\\\\\\'\\\\\"%()<>;+-]|script|meta', validated_data['name'], re.I):\n raise BadRequest('活动名称中含有特殊符号或者脚本关键字！')\nwith transaction.atomic():\n campus_event = CampusEvent.objects.create(**valid... | <|body_start_0|>
event.reviewed = True
event.save()
msg = f'用户 {user} 将培训活动 {event} 标记为已审核'
prod_logger.info(msg)
<|end_body_0|>
<|body_start_1|>
if re.search('[\\\'\\"%()<>;+-]|script|meta', validated_data['name'], re.I):
raise BadRequest('活动名称中含有特殊符号或者脚本关键字！')
... | Provide services for CampusEvent. | CampusEventService | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CampusEventService:
"""Provide services for CampusEvent."""
def review_campus_event(event, user):
"""Review a campus event."""
<|body_0|>
def create_campus_event(validated_data, coefficients, context=None):
"""Create a CampusEvent with ObjectPermission. Parametse... | stack_v2_sparse_classes_36k_train_017621 | 8,615 | no_license | [
{
"docstring": "Review a campus event.",
"name": "review_campus_event",
"signature": "def review_campus_event(event, user)"
},
{
"docstring": "Create a CampusEvent with ObjectPermission. Parametsers ---------- validated_data: dict This dict should have full information needed to create an Campus... | 3 | null | Implement the Python class `CampusEventService` described below.
Class description:
Provide services for CampusEvent.
Method signatures and docstrings:
- def review_campus_event(event, user): Review a campus event.
- def create_campus_event(validated_data, coefficients, context=None): Create a CampusEvent with Object... | Implement the Python class `CampusEventService` described below.
Class description:
Provide services for CampusEvent.
Method signatures and docstrings:
- def review_campus_event(event, user): Review a campus event.
- def create_campus_event(validated_data, coefficients, context=None): Create a CampusEvent with Object... | 48cccddbe8347167cb6120a1cd7d61f9fc57cc7c | <|skeleton|>
class CampusEventService:
"""Provide services for CampusEvent."""
def review_campus_event(event, user):
"""Review a campus event."""
<|body_0|>
def create_campus_event(validated_data, coefficients, context=None):
"""Create a CampusEvent with ObjectPermission. Parametse... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CampusEventService:
"""Provide services for CampusEvent."""
def review_campus_event(event, user):
"""Review a campus event."""
event.reviewed = True
event.save()
msg = f'用户 {user} 将培训活动 {event} 标记为已审核'
prod_logger.info(msg)
def create_campus_event(validated_da... | the_stack_v2_python_sparse | training_event/services.py | DLUT-SIE/TMSFTT-BE | train | 1 |
429f2606ad61f74f38e020b9a380f5626b843b2a | [
"super(LSTMModule, self).__init__()\nself.batch_size = batch_size\nself.num_layers = num_layers\nself.input_size = n_in\nself.hidden_size = n_hidden\nself.lstm = nn.LSTM(input_size=n_in, hidden_size=n_hidden, num_layers=num_layers, batch_first=True)",
"h0 = Variable(torch.randn(self.num_layers, self.batch_size, s... | <|body_start_0|>
super(LSTMModule, self).__init__()
self.batch_size = batch_size
self.num_layers = num_layers
self.input_size = n_in
self.hidden_size = n_hidden
self.lstm = nn.LSTM(input_size=n_in, hidden_size=n_hidden, num_layers=num_layers, batch_first=True)
<|end_body_... | qa lstm module. | LSTMModule | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMModule:
"""qa lstm module."""
def __init__(self, batch_size, n_in, n_hidden, num_layers=1):
"""lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :param num_layers: num of layers"""
<|body_0|>
de... | stack_v2_sparse_classes_36k_train_017622 | 6,002 | permissive | [
{
"docstring": "lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :param num_layers: num of layers",
"name": "__init__",
"signature": "def __init__(self, batch_size, n_in, n_hidden, num_layers=1)"
},
{
"docstring": "state(h... | 3 | stack_v2_sparse_classes_30k_train_017592 | Implement the Python class `LSTMModule` described below.
Class description:
qa lstm module.
Method signatures and docstrings:
- def __init__(self, batch_size, n_in, n_hidden, num_layers=1): lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :para... | Implement the Python class `LSTMModule` described below.
Class description:
qa lstm module.
Method signatures and docstrings:
- def __init__(self, batch_size, n_in, n_hidden, num_layers=1): lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :para... | 56b0a320e4641f46e80db78039d4ca79e9037d7e | <|skeleton|>
class LSTMModule:
"""qa lstm module."""
def __init__(self, batch_size, n_in, n_hidden, num_layers=1):
"""lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :param num_layers: num of layers"""
<|body_0|>
de... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LSTMModule:
"""qa lstm module."""
def __init__(self, batch_size, n_in, n_hidden, num_layers=1):
"""lstm module init. :param batch_size: mini_batch size :param n_in: input size for lstm :param n_hidden: hidden size for rnn :param num_layers: num of layers"""
super(LSTMModule, self).__init_... | the_stack_v2_python_sparse | torch_models/qa_rnn.py | companionrobot/DBQA | train | 0 |
863777be6a8136dd8144abda04eea8a9265533b8 | [
"if not data:\n return b'\\x00'\nreturn data.replace('\\x00', '').encode('utf-8') + b'\\x00'",
"tmp = payload.split(b'\\x00', 1)\nif len(tmp) < 2:\n return (payload, None)\nreturn (tmp[1], tmp[0].decode('utf-8'))"
] | <|body_start_0|>
if not data:
return b'\x00'
return data.replace('\x00', '').encode('utf-8') + b'\x00'
<|end_body_0|>
<|body_start_1|>
tmp = payload.split(b'\x00', 1)
if len(tmp) < 2:
return (payload, None)
return (tmp[1], tmp[0].decode('utf-8'))
<|end_bo... | Null terminated string. | SMPayloadTypeNT | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SMPayloadTypeNT:
"""Null terminated string."""
def encode(data, _opt=None):
"""Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode("unicode_string") b'unicode_string\\x00'"""
<|body_0... | stack_v2_sparse_classes_36k_train_017623 | 14,049 | permissive | [
{
"docstring": "Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode(\"unicode_string\") b'unicode_string\\\\x00'",
"name": "encode",
"signature": "def encode(data, _opt=None)"
},
{
"docstring": "Decode n... | 2 | stack_v2_sparse_classes_30k_train_008202 | Implement the Python class `SMPayloadTypeNT` described below.
Class description:
Null terminated string.
Method signatures and docstrings:
- def encode(data, _opt=None): Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode("un... | Implement the Python class `SMPayloadTypeNT` described below.
Class description:
Null terminated string.
Method signatures and docstrings:
- def encode(data, _opt=None): Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode("un... | cf20b363ed3d7bcb75101b17870e876a857ecd66 | <|skeleton|>
class SMPayloadTypeNT:
"""Null terminated string."""
def encode(data, _opt=None):
"""Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode("unicode_string") b'unicode_string\\x00'"""
<|body_0... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SMPayloadTypeNT:
"""Null terminated string."""
def encode(data, _opt=None):
"""Encode unicode string into null terminated string. :param data: the string to encode :param opt: Do nothing :Example: >>> SMPayloadTypeNT.encode("unicode_string") b'unicode_string\\x00'"""
if not data:
... | the_stack_v2_python_sparse | smserver/smutils/smpacket/smencoder.py | Moutix/stepmania-server | train | 4 |
4e994443698c5c7521e81d1ed8659e97c3de7666 | [
"super(CommonRunCmd, self).do_treatcards(line, amcatnlo)\nkeepwidth = False\nif '--keepwidth' in line:\n keepwidth = True\n line = line.replace('--keepwidth', '')\nargs = self.split_arg(line)\nmode, opt = self.check_treatcards(args)\nif amcatnlo and mode in ['all', 'param'] and (not keepwidth):\n if os.pat... | <|body_start_0|>
super(CommonRunCmd, self).do_treatcards(line, amcatnlo)
keepwidth = False
if '--keepwidth' in line:
keepwidth = True
line = line.replace('--keepwidth', '')
args = self.split_arg(line)
mode, opt = self.check_treatcards(args)
if amca... | CommonRunCmd | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CommonRunCmd:
def do_treatcards(self, line, amcatnlo=False):
"""call the mother, then, if the param_card has to be updated, write it again"""
<|body_0|>
def replace_widths_in_paramcard_inc(self, decay_to_keep, param_inc):
"""replace the widths passed in decay_to_keep... | stack_v2_sparse_classes_36k_train_017624 | 4,818 | no_license | [
{
"docstring": "call the mother, then, if the param_card has to be updated, write it again",
"name": "do_treatcards",
"signature": "def do_treatcards(self, line, amcatnlo=False)"
},
{
"docstring": "replace the widths passed in decay_to_keep inside param_inc and force them to be zero",
"name"... | 3 | stack_v2_sparse_classes_30k_train_003064 | Implement the Python class `CommonRunCmd` described below.
Class description:
Implement the CommonRunCmd class.
Method signatures and docstrings:
- def do_treatcards(self, line, amcatnlo=False): call the mother, then, if the param_card has to be updated, write it again
- def replace_widths_in_paramcard_inc(self, deca... | Implement the Python class `CommonRunCmd` described below.
Class description:
Implement the CommonRunCmd class.
Method signatures and docstrings:
- def do_treatcards(self, line, amcatnlo=False): call the mother, then, if the param_card has to be updated, write it again
- def replace_widths_in_paramcard_inc(self, deca... | dd3d3a3826343d4f75ec36b4662b6e9ff1f270f4 | <|skeleton|>
class CommonRunCmd:
def do_treatcards(self, line, amcatnlo=False):
"""call the mother, then, if the param_card has to be updated, write it again"""
<|body_0|>
def replace_widths_in_paramcard_inc(self, decay_to_keep, param_inc):
"""replace the widths passed in decay_to_keep... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CommonRunCmd:
def do_treatcards(self, line, amcatnlo=False):
"""call the mother, then, if the param_card has to be updated, write it again"""
super(CommonRunCmd, self).do_treatcards(line, amcatnlo)
keepwidth = False
if '--keepwidth' in line:
keepwidth = True
... | the_stack_v2_python_sparse | bin/MadGraph5_aMCatNLO/PLUGIN/MadSTR/common_run_interface.py | cms-sw/genproductions | train | 69 | |
c2135d848f3f8217e39450f315f2cd5057342b24 | [
"self._ownercol = None\nself._idxname = idxname\nself._is_asc: bool = True\nif isinstance(is_asc, bool):\n self._is_asc = is_asc\nself._initialed_conns: dict = {}\nself._initialed_conns_locker = threading.RLock()",
"if col is None:\n raise Exception('Invalid SqliteColumn object')\nself._ownercol = col",
"... | <|body_start_0|>
self._ownercol = None
self._idxname = idxname
self._is_asc: bool = True
if isinstance(is_asc, bool):
self._is_asc = is_asc
self._initialed_conns: dict = {}
self._initialed_conns_locker = threading.RLock()
<|end_body_0|>
<|body_start_1|>
... | represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name | SqliteIndex | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SqliteIndex:
"""represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name"""
def __init__(self, idxname: str=None, is_asc: bool=True):
""... | stack_v2_sparse_classes_36k_train_017625 | 17,742 | permissive | [
{
"docstring": "index name can be None",
"name": "__init__",
"signature": "def __init__(self, idxname: str=None, is_asc: bool=True)"
},
{
"docstring": "为当前SqliteIndex索引设置所属SqliteColumn列",
"name": "set_owner_column",
"signature": "def set_owner_column(self, col)"
},
{
"docstring":... | 3 | null | Implement the Python class `SqliteIndex` described below.
Class description:
represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name
Method signatures and docstrings:
- ... | Implement the Python class `SqliteIndex` described below.
Class description:
represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name
Method signatures and docstrings:
- ... | 8f05a6b91fc205960edd57f9076facec04f49a1a | <|skeleton|>
class SqliteIndex:
"""represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name"""
def __init__(self, idxname: str=None, is_asc: bool=True):
""... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SqliteIndex:
"""represents a sqlite column index ownercol: the owner SqliteColumn object of current SqliteIndex object idxname: the name of current index, if this is None, will automatically generate an unique index name"""
def __init__(self, idxname: str=None, is_asc: bool=True):
"""index name c... | the_stack_v2_python_sparse | savecode/pythonpackages/commonbaby/sql/sqlite/sqlitetable.py | cbbbbbbbb/sspywork | train | 0 |
c2ded16394084586691bbba425ee7e8a6c62b477 | [
"super().__init__(status)\nself._attr_name = name\nself._actions = actions",
"attr = {}\nif self._actions:\n attr['actions_enabled'] = self._actions.enabled\n if self._actions.last_finished != EMPTY_TIME:\n attr['actions_last_finished'] = self._actions.last_finished\n if self._actions.last_run != ... | <|body_start_0|>
super().__init__(status)
self._attr_name = name
self._actions = actions
<|end_body_0|>
<|body_start_1|>
attr = {}
if self._actions:
attr['actions_enabled'] = self._actions.enabled
if self._actions.last_finished != EMPTY_TIME:
... | Representation of an ISY program base. | ISYProgramEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ISYProgramEntity:
"""Representation of an ISY program base."""
def __init__(self, name: str, status: Program, actions: Program=None) -> None:
"""Initialize the ISY program-based entity."""
<|body_0|>
def extra_state_attributes(self) -> dict:
"""Get the state attr... | stack_v2_sparse_classes_36k_train_017626 | 10,000 | permissive | [
{
"docstring": "Initialize the ISY program-based entity.",
"name": "__init__",
"signature": "def __init__(self, name: str, status: Program, actions: Program=None) -> None"
},
{
"docstring": "Get the state attributes for the device.",
"name": "extra_state_attributes",
"signature": "def ex... | 2 | stack_v2_sparse_classes_30k_train_007756 | Implement the Python class `ISYProgramEntity` described below.
Class description:
Representation of an ISY program base.
Method signatures and docstrings:
- def __init__(self, name: str, status: Program, actions: Program=None) -> None: Initialize the ISY program-based entity.
- def extra_state_attributes(self) -> dic... | Implement the Python class `ISYProgramEntity` described below.
Class description:
Representation of an ISY program base.
Method signatures and docstrings:
- def __init__(self, name: str, status: Program, actions: Program=None) -> None: Initialize the ISY program-based entity.
- def extra_state_attributes(self) -> dic... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class ISYProgramEntity:
"""Representation of an ISY program base."""
def __init__(self, name: str, status: Program, actions: Program=None) -> None:
"""Initialize the ISY program-based entity."""
<|body_0|>
def extra_state_attributes(self) -> dict:
"""Get the state attr... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ISYProgramEntity:
"""Representation of an ISY program base."""
def __init__(self, name: str, status: Program, actions: Program=None) -> None:
"""Initialize the ISY program-based entity."""
super().__init__(status)
self._attr_name = name
self._actions = actions
def ext... | the_stack_v2_python_sparse | homeassistant/components/isy994/entity.py | home-assistant/core | train | 35,501 |
cf1de06b0935cf2ab5697386ecd7429329621527 | [
"self.__cache = {}\nself.__func = None\nself.__defaultKey = '_memoize_noargs_'\nself.__setFunction(*args, **kwargs)",
"if len(args) + len(kwargs) == 0:\n self.__cache = {}\nelse:\n key = self.__makeKey(*args, **kwargs)\n try:\n self.__cache.pop(key)\n except KeyError:\n pass",
"if self... | <|body_start_0|>
self.__cache = {}
self.__func = None
self.__defaultKey = '_memoize_noargs_'
self.__setFunction(*args, **kwargs)
<|end_body_0|>
<|body_start_1|>
if len(args) + len(kwargs) == 0:
self.__cache = {}
else:
key = self.__makeKey(*args, *... | Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``args`` are the input arguments to the function, and ``value`` is the value... | Memoize | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Memoize:
"""Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``args`` are the input arguments to the f... | stack_v2_sparse_classes_36k_train_017627 | 9,155 | permissive | [
{
"docstring": "Create a ``Memoize`` object.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Clears the internal cache. If no arguments are given, the entire cache is cleared. Otherwise, only the cached value for the provided arguments is cleared.",
... | 5 | null | Implement the Python class `Memoize` described below.
Class description:
Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``... | Implement the Python class `Memoize` described below.
Class description:
Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``... | 13d55095a72a13a627736d0b65fd83049826c9cb | <|skeleton|>
class Memoize:
"""Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``args`` are the input arguments to the f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Memoize:
"""Decorator which can be used to memoize a function or method. Use like so:: @memoize def myfunc(*a, **kwa): ... @memoize() def otherfunc(*a, **kwax): ... A ``Memoize`` instance maintains a cache which contains ``{args : value}`` mappings, where ``args`` are the input arguments to the function, and ... | the_stack_v2_python_sparse | fsl/utils/memoize.py | pauldmccarthy/fslpy | train | 7 |
1bebf5d0ceac2ebb9379f272ee52d5b9dac018d6 | [
"key = LibraryUsageLocatorV2.from_string(usage_key_str)\napi.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRARY)\nxml_str = api.get_library_block_olx(key)\nreturn Response(LibraryXBlockOlxSerializer({'olx': xml_str}).data)",
"key = LibraryUsageLocatorV2.from_st... | <|body_start_0|>
key = LibraryUsageLocatorV2.from_string(usage_key_str)
api.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THIS_CONTENT_LIBRARY)
xml_str = api.get_library_block_olx(key)
return Response(LibraryXBlockOlxSerializer({'olx': xml_str}).data)... | Views to work with an existing XBlock's OLX | LibraryBlockOlxView | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
<|body_0|>
def post(self, request, usage_key_str):
"""Replace the block's OLX. This API is only meant for use by developers or ... | stack_v2_sparse_classes_36k_train_017628 | 42,120 | permissive | [
{
"docstring": "Get the block's OLX",
"name": "get",
"signature": "def get(self, request, usage_key_str)"
},
{
"docstring": "Replace the block's OLX. This API is only meant for use by developers or API client applications. Very little validation is done.",
"name": "post",
"signature": "d... | 2 | null | Implement the Python class `LibraryBlockOlxView` described below.
Class description:
Views to work with an existing XBlock's OLX
Method signatures and docstrings:
- def get(self, request, usage_key_str): Get the block's OLX
- def post(self, request, usage_key_str): Replace the block's OLX. This API is only meant for ... | Implement the Python class `LibraryBlockOlxView` described below.
Class description:
Views to work with an existing XBlock's OLX
Method signatures and docstrings:
- def get(self, request, usage_key_str): Get the block's OLX
- def post(self, request, usage_key_str): Replace the block's OLX. This API is only meant for ... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
<|body_0|>
def post(self, request, usage_key_str):
"""Replace the block's OLX. This API is only meant for use by developers or ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LibraryBlockOlxView:
"""Views to work with an existing XBlock's OLX"""
def get(self, request, usage_key_str):
"""Get the block's OLX"""
key = LibraryUsageLocatorV2.from_string(usage_key_str)
api.require_permission_for_library_key(key.lib_key, request.user, permissions.CAN_VIEW_THI... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/openedx/core/djangoapps/content_libraries/views.py | luque/better-ways-of-thinking-about-software | train | 3 |
2f69b666fe6a9cd58b03dbb76c6d3b5a12c40086 | [
"ans = [nums]\norig = nums[:]\nself.nextPermutation(nums)\nwhile nums != orig:\n ans.append(nums[:])\n self.nextPermutation(nums)\nreturn ans",
"if len(nums) <= 1:\n return\nslow = len(nums) - 1\nfast = len(nums) - 2\nwhile nums[fast] == nums[slow] and fast > 0:\n slow -= 1\n fast -= 1\nif nums[fas... | <|body_start_0|>
ans = [nums]
orig = nums[:]
self.nextPermutation(nums)
while nums != orig:
ans.append(nums[:])
self.nextPermutation(nums)
return ans
<|end_body_0|>
<|body_start_1|>
if len(nums) <= 1:
return
slow = len(nums) - ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def permuteUnique(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def nextPermutation(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k_train_017629 | 1,615 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: List[List[int]]",
"name": "permuteUnique",
"signature": "def permuteUnique(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead.",
"name": "nextPermutation",
"signature": "def... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permuteUnique(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def nextPermutation(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def permuteUnique(self, nums): :type nums: List[int] :rtype: List[List[int]]
- def nextPermutation(self, nums): :type nums: List[int] :rtype: void Do not return anything, modify ... | 8cda0518440488992d7e2c70cb8555ec7b34083f | <|skeleton|>
class Solution:
def permuteUnique(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
<|body_0|>
def nextPermutation(self, nums):
""":type nums: List[int] :rtype: void Do not return anything, modify nums in-place instead."""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def permuteUnique(self, nums):
""":type nums: List[int] :rtype: List[List[int]]"""
ans = [nums]
orig = nums[:]
self.nextPermutation(nums)
while nums != orig:
ans.append(nums[:])
self.nextPermutation(nums)
return ans
def nex... | the_stack_v2_python_sparse | 47/main.py | szhongren/leetcode | train | 0 | |
1a88cd684399087a06b46b89deca5a94739453ac | [
"self.dim_input = dim_input\nself.dim_output = dim_output\nself.batchsize = batchsize\nself.precision = precision\nself.activation_fct = activation_fct\nself.opt = optimizer\nself.devlist = devlist",
"datatype = eval('tf.float%d' % self.precision)\nact = eval(self.activation_fct)\ng = tf.Graph()\nwith g.as_defaul... | <|body_start_0|>
self.dim_input = dim_input
self.dim_output = dim_output
self.batchsize = batchsize
self.precision = precision
self.activation_fct = activation_fct
self.opt = optimizer
self.devlist = devlist
<|end_body_0|>
<|body_start_1|>
datatype = eval... | Class for gerenating the benchmark operations | dense_layer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class dense_layer:
"""Class for gerenating the benchmark operations"""
def __init__(self, dim_input, dim_output, batchsize, precision, activation_fct, optimizer, devlist):
"""Initialize gemm Args: dim_input: Size of input vector / number of input features (int) dim_output: Size of output v... | stack_v2_sparse_classes_36k_train_017630 | 3,292 | permissive | [
{
"docstring": "Initialize gemm Args: dim_input: Size of input vector / number of input features (int) dim_output: Size of output vector / number of output features (int) batchsize: (int) precision: bit depth (16/32/64) optimizer: (string) devlist: List of GPUs / CPUs (list)",
"name": "__init__",
"signa... | 3 | stack_v2_sparse_classes_30k_train_014740 | Implement the Python class `dense_layer` described below.
Class description:
Class for gerenating the benchmark operations
Method signatures and docstrings:
- def __init__(self, dim_input, dim_output, batchsize, precision, activation_fct, optimizer, devlist): Initialize gemm Args: dim_input: Size of input vector / nu... | Implement the Python class `dense_layer` described below.
Class description:
Class for gerenating the benchmark operations
Method signatures and docstrings:
- def __init__(self, dim_input, dim_output, batchsize, precision, activation_fct, optimizer, devlist): Initialize gemm Args: dim_input: Size of input vector / nu... | c177ed3b01b3849de2d0266a3dd673c47bd754f8 | <|skeleton|>
class dense_layer:
"""Class for gerenating the benchmark operations"""
def __init__(self, dim_input, dim_output, batchsize, precision, activation_fct, optimizer, devlist):
"""Initialize gemm Args: dim_input: Size of input vector / number of input features (int) dim_output: Size of output v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class dense_layer:
"""Class for gerenating the benchmark operations"""
def __init__(self, dim_input, dim_output, batchsize, precision, activation_fct, optimizer, devlist):
"""Initialize gemm Args: dim_input: Size of input vector / number of input features (int) dim_output: Size of output vector / numbe... | the_stack_v2_python_sparse | prediction_model_tf2/Generate_train_data/benchmark_dense.py | profnote/ml-performance-prediction | train | 0 |
1a556f92f4cbf571bca3ac9e5cbc4976555802ad | [
"from aiida.common import exceptions\nsuper().__init__(sub_classes=sub_classes)\nself._process_classes = []\nif process_classes is not None:\n if not isinstance(process_classes, tuple):\n raise TypeError('process_classes should be a tuple of entry point strings')\n for entry_point_string in process_cla... | <|body_start_0|>
from aiida.common import exceptions
super().__init__(sub_classes=sub_classes)
self._process_classes = []
if process_classes is not None:
if not isinstance(process_classes, tuple):
raise TypeError('process_classes should be a tuple of entry poi... | The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``. | FilteredWorkflowParamType | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FilteredWorkflowParamType:
"""The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``."""
def __init__(self, sub_classes=None, process_classes: ty.Sequence[str]=None):
"""Initialize. :param process_classes: v... | stack_v2_sparse_classes_36k_train_017631 | 2,787 | permissive | [
{
"docstring": "Initialize. :param process_classes: valid entry points for ``aiida.workflows``, defaults to None :type process_classes: ty.Sequence[str], optional",
"name": "__init__",
"signature": "def __init__(self, sub_classes=None, process_classes: ty.Sequence[str]=None)"
},
{
"docstring": "... | 2 | stack_v2_sparse_classes_30k_train_009188 | Implement the Python class `FilteredWorkflowParamType` described below.
Class description:
The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``.
Method signatures and docstrings:
- def __init__(self, sub_classes=None, process_classes: ty.S... | Implement the Python class `FilteredWorkflowParamType` described below.
Class description:
The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``.
Method signatures and docstrings:
- def __init__(self, sub_classes=None, process_classes: ty.S... | aeceb3519ffd1cd071d5b98f81888052fff58163 | <|skeleton|>
class FilteredWorkflowParamType:
"""The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``."""
def __init__(self, sub_classes=None, process_classes: ty.Sequence[str]=None):
"""Initialize. :param process_classes: v... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FilteredWorkflowParamType:
"""The ParamType for identifying WorkflowNode entities or its subclasses. Filter the ``process_class`` by the ``self._prcess_classes``."""
def __init__(self, sub_classes=None, process_classes: ty.Sequence[str]=None):
"""Initialize. :param process_classes: valid entry po... | the_stack_v2_python_sparse | src/aiida_wannier90_workflows/cli/params.py | aiidateam/aiida-wannier90-workflows | train | 5 |
a6b53bbce22d2a29aa6059f3beb983ced413a94a | [
"y = np.array(y)\ny = np.argmax(y, axis=2)[:, 0]\nreturn ''.join([Config.LABEL_LIST[x] for x in y])",
"x = np.zeros((1, height, width, channel), dtype=np.float32)\nimage = Image.open(BytesIO(imageByte)).convert('RGB')\nimage = ConvertFormat.convertImageFormat(image)\nimage = image.resize((width, height), Image.AN... | <|body_start_0|>
y = np.array(y)
y = np.argmax(y, axis=2)[:, 0]
return ''.join([Config.LABEL_LIST[x] for x in y])
<|end_body_0|>
<|body_start_1|>
x = np.zeros((1, height, width, channel), dtype=np.float32)
image = Image.open(BytesIO(imageByte)).convert('RGB')
image = Con... | PreprocessingCaptcha | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PreprocessingCaptcha:
def decode(cls, y: list) -> str:
"""decode np array predict result to string"""
<|body_0|>
def loadData(cls, imageByte: bytes, height: int, width: int, channel: int):
"""load data from image byte to np array"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_36k_train_017632 | 1,102 | permissive | [
{
"docstring": "decode np array predict result to string",
"name": "decode",
"signature": "def decode(cls, y: list) -> str"
},
{
"docstring": "load data from image byte to np array",
"name": "loadData",
"signature": "def loadData(cls, imageByte: bytes, height: int, width: int, channel: i... | 2 | stack_v2_sparse_classes_30k_train_020176 | Implement the Python class `PreprocessingCaptcha` described below.
Class description:
Implement the PreprocessingCaptcha class.
Method signatures and docstrings:
- def decode(cls, y: list) -> str: decode np array predict result to string
- def loadData(cls, imageByte: bytes, height: int, width: int, channel: int): lo... | Implement the Python class `PreprocessingCaptcha` described below.
Class description:
Implement the PreprocessingCaptcha class.
Method signatures and docstrings:
- def decode(cls, y: list) -> str: decode np array predict result to string
- def loadData(cls, imageByte: bytes, height: int, width: int, channel: int): lo... | c03550dc5583b435192f220f871c71cabadd3e39 | <|skeleton|>
class PreprocessingCaptcha:
def decode(cls, y: list) -> str:
"""decode np array predict result to string"""
<|body_0|>
def loadData(cls, imageByte: bytes, height: int, width: int, channel: int):
"""load data from image byte to np array"""
<|body_1|>
<|end_skeleton... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PreprocessingCaptcha:
def decode(cls, y: list) -> str:
"""decode np array predict result to string"""
y = np.array(y)
y = np.argmax(y, axis=2)[:, 0]
return ''.join([Config.LABEL_LIST[x] for x in y])
def loadData(cls, imageByte: bytes, height: int, width: int, channel: int)... | the_stack_v2_python_sparse | controller/PreprocessingCaptcha.py | wudinaonao/FlaskMark12306Captcha | train | 1 | |
d4c7287da9c7f7a1d4c44674d05fc68356f05ac1 | [
"if not has_image(self):\n return None\nview = self.unrestrictedTraverse('@@images')\nreturn view.scale(fieldname='image', scale='thumb').index_html()",
"if not has_image(self):\n return ''\nview = self.unrestrictedTraverse('@@images')\nreturn view.tag(fieldname='image', scale=scale, css_class=css_class, **... | <|body_start_0|>
if not has_image(self):
return None
view = self.unrestrictedTraverse('@@images')
return view.scale(fieldname='image', scale='thumb').index_html()
<|end_body_0|>
<|body_start_1|>
if not has_image(self):
return ''
view = self.unrestrictedTr... | A Sponsor | Sponsor | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Sponsor:
"""A Sponsor"""
def image_thumb(self):
"""Return a thumbnail"""
<|body_0|>
def tag(self, scale='thumb', css_class='tileImage', **kw):
"""Return a tag to the image"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not has_image(self):
... | stack_v2_sparse_classes_36k_train_017633 | 2,714 | no_license | [
{
"docstring": "Return a thumbnail",
"name": "image_thumb",
"signature": "def image_thumb(self)"
},
{
"docstring": "Return a tag to the image",
"name": "tag",
"signature": "def tag(self, scale='thumb', css_class='tileImage', **kw)"
}
] | 2 | stack_v2_sparse_classes_30k_train_013406 | Implement the Python class `Sponsor` described below.
Class description:
A Sponsor
Method signatures and docstrings:
- def image_thumb(self): Return a thumbnail
- def tag(self, scale='thumb', css_class='tileImage', **kw): Return a tag to the image | Implement the Python class `Sponsor` described below.
Class description:
A Sponsor
Method signatures and docstrings:
- def image_thumb(self): Return a thumbnail
- def tag(self, scale='thumb', css_class='tileImage', **kw): Return a tag to the image
<|skeleton|>
class Sponsor:
"""A Sponsor"""
def image_thumb(... | 9f6672ce51cc95fd05e3d6a55c99d029342e4f4e | <|skeleton|>
class Sponsor:
"""A Sponsor"""
def image_thumb(self):
"""Return a thumbnail"""
<|body_0|>
def tag(self, scale='thumb', css_class='tileImage', **kw):
"""Return a tag to the image"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Sponsor:
"""A Sponsor"""
def image_thumb(self):
"""Return a thumbnail"""
if not has_image(self):
return None
view = self.unrestrictedTraverse('@@images')
return view.scale(fieldname='image', scale='thumb').index_html()
def tag(self, scale='thumb', css_clas... | the_stack_v2_python_sparse | src/apyb/conference/content/sponsor.py | pythonbrasil/apyb.conference | train | 0 |
2afbdbc7f802745654e42bf01d145e0904d4a2e5 | [
"self.y = torch.LongTensor(np.where(self.one_hot_encode(y))[1])\nx = sp.csr_matrix(x, dtype=np.float32)\nself.x = torch.FloatTensor(np.array(self.normalize(x).todense()))\nn = x.shape[0]\nadj = sp.coo_matrix((edges[:, 2], (edges[:, 0], edges[:, 1])), shape=(n, n), dtype=np.float32)\nif is_undirected:\n adj = adj... | <|body_start_0|>
self.y = torch.LongTensor(np.where(self.one_hot_encode(y))[1])
x = sp.csr_matrix(x, dtype=np.float32)
self.x = torch.FloatTensor(np.array(self.normalize(x).todense()))
n = x.shape[0]
adj = sp.coo_matrix((edges[:, 2], (edges[:, 0], edges[:, 1])), shape=(n, n), dty... | GCNData | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GCNData:
def __init__(self, x, y, edges, is_undirected=True):
"""edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to"""
<|body_0|>
def one_hot_encode(self, labels):
"""One-hot encode categorical labels"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_017634 | 1,836 | no_license | [
{
"docstring": "edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to",
"name": "__init__",
"signature": "def __init__(self, x, y, edges, is_undirected=True)"
},
{
"docstring": "One-hot encode categorical labels",
"name": "one_hot_encode",
"signatur... | 4 | stack_v2_sparse_classes_30k_train_020695 | Implement the Python class `GCNData` described below.
Class description:
Implement the GCNData class.
Method signatures and docstrings:
- def __init__(self, x, y, edges, is_undirected=True): edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to
- def one_hot_encode(self, labels)... | Implement the Python class `GCNData` described below.
Class description:
Implement the GCNData class.
Method signatures and docstrings:
- def __init__(self, x, y, edges, is_undirected=True): edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to
- def one_hot_encode(self, labels)... | 4483877b528fb2397b68078996daeaac35018522 | <|skeleton|>
class GCNData:
def __init__(self, x, y, edges, is_undirected=True):
"""edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to"""
<|body_0|>
def one_hot_encode(self, labels):
"""One-hot encode categorical labels"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GCNData:
def __init__(self, x, y, edges, is_undirected=True):
"""edge format: a n*3 numpy array with columns representing fr, to and weight between fr and to"""
self.y = torch.LongTensor(np.where(self.one_hot_encode(y))[1])
x = sp.csr_matrix(x, dtype=np.float32)
self.x = torch.... | the_stack_v2_python_sparse | algorithms/graph_convolution_network/gcn_data.py | SweeRoty/fintell_app | train | 0 | |
826f7b6144c46fe75c373c7a2d52eeb8c7a67373 | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')"
] | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns. | KeywordPlanCampaignServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class KeywordPlanCampaignServiceServicer:
"""Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns."""
def GetKeywordPlanCampaign(self, request, context):
"""Returns the requested Keyword Plan campaign in full detail."""
<|body_0|>
d... | stack_v2_sparse_classes_36k_train_017635 | 5,992 | permissive | [
{
"docstring": "Returns the requested Keyword Plan campaign in full detail.",
"name": "GetKeywordPlanCampaign",
"signature": "def GetKeywordPlanCampaign(self, request, context)"
},
{
"docstring": "Creates, updates, or removes Keyword Plan campaigns. Operation statuses are returned.",
"name":... | 2 | null | Implement the Python class `KeywordPlanCampaignServiceServicer` described below.
Class description:
Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns.
Method signatures and docstrings:
- def GetKeywordPlanCampaign(self, request, context): Returns the requested Keyword P... | Implement the Python class `KeywordPlanCampaignServiceServicer` described below.
Class description:
Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns.
Method signatures and docstrings:
- def GetKeywordPlanCampaign(self, request, context): Returns the requested Keyword P... | 969eff5b6c3cec59d21191fa178cffb6270074c3 | <|skeleton|>
class KeywordPlanCampaignServiceServicer:
"""Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns."""
def GetKeywordPlanCampaign(self, request, context):
"""Returns the requested Keyword Plan campaign in full detail."""
<|body_0|>
d... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class KeywordPlanCampaignServiceServicer:
"""Proto file describing the keyword plan campaign service. Service to manage Keyword Plan campaigns."""
def GetKeywordPlanCampaign(self, request, context):
"""Returns the requested Keyword Plan campaign in full detail."""
context.set_code(grpc.StatusCo... | the_stack_v2_python_sparse | google/ads/google_ads/v6/proto/services/keyword_plan_campaign_service_pb2_grpc.py | VincentFritzsche/google-ads-python | train | 0 |
2af44d959cd916b3a4586387fec74419ae45680b | [
"parser.add_argument('pool', help='Replica pool name.')\nparser.add_argument('--template', required=True, help='Path to YAML or JSON file containing the Replica pool template.')\nparser.add_argument('--size', required=True, help='Initial number of replicas in replica pool')\nparser.add_argument('--description', hel... | <|body_start_0|>
parser.add_argument('pool', help='Replica pool name.')
parser.add_argument('--template', required=True, help='Path to YAML or JSON file containing the Replica pool template.')
parser.add_argument('--size', required=True, help='Initial number of replicas in replica pool')
... | Insert (Create) a replica pool. | Create | [
"Apache-2.0",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Create:
"""Insert (Create) a replica pool."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed."""
... | stack_v2_sparse_classes_36k_train_017636 | 3,651 | permissive | [
{
"docstring": "Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed.",
"name": "Args",
"signature": "def Args(parser)"
},
{
"docstring"... | 2 | null | Implement the Python class `Create` described below.
Class description:
Insert (Create) a replica pool.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line ... | Implement the Python class `Create` described below.
Class description:
Insert (Create) a replica pool.
Method signatures and docstrings:
- def Args(parser): Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line ... | 1f9b424c40a87b46656fc9f5e2e9c81895c7e614 | <|skeleton|>
class Create:
"""Insert (Create) a replica pool."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Create:
"""Insert (Create) a replica pool."""
def Args(parser):
"""Args is called by calliope to gather arguments for this command. Args: parser: An argparse parser that you can use to add arguments that go on the command line after this command. Positional arguments are allowed."""
parse... | the_stack_v2_python_sparse | google-cloud-sdk/lib/googlecloudsdk/compute/subcommands/replica_pools/create.py | twistedpair/google-cloud-sdk | train | 58 |
d6a6126ae433e99f481fda9cc158072c6694b040 | [
"super().__init__(*args, **kwargs)\nattr_key = None\nattr_category = None\nattr_value = None\nattr_type = None\nattr_lockstring = None\nif hasattr(self.instance, 'attribute'):\n attr_key = self.instance.attribute.db_key\n attr_category = self.instance.attribute.db_category\n attr_value = self.instance.attr... | <|body_start_0|>
super().__init__(*args, **kwargs)
attr_key = None
attr_category = None
attr_value = None
attr_type = None
attr_lockstring = None
if hasattr(self.instance, 'attribute'):
attr_key = self.instance.attribute.db_key
attr_categor... | This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof the behavior of it being a form that would correspond to its Attribute, or the ... | AttributeForm | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttributeForm:
"""This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof the behavior of it being a form that w... | stack_v2_sparse_classes_36k_train_017637 | 8,627 | permissive | [
{
"docstring": "If we have an Attribute, then we'll prepopulate our instance with the fields we'd expect it to have based on the Attribute. attr_key, attr_category, attr_value, attr_type, and attr_lockstring all refer to the corresponding Attribute fields. The initial data of the form fields will similarly be p... | 3 | null | Implement the Python class `AttributeForm` described below.
Class description:
This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof... | Implement the Python class `AttributeForm` described below.
Class description:
This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof... | b3ca58b5c1325a3bf57051dfe23560a08d2947b7 | <|skeleton|>
class AttributeForm:
"""This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof the behavior of it being a form that w... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AttributeForm:
"""This form overrides the base behavior of the ModelForm that would be used for a Attribute-through-model. Since the through-models only have access to the foreignkeys of the Attribute and the Object that they're attached to, we need to spoof the behavior of it being a form that would correspo... | the_stack_v2_python_sparse | evennia/web/admin/attributes.py | evennia/evennia | train | 1,781 |
d6b65b6bffc5b0a58a5bec5cc0b150e2ba349eb0 | [
"faster = lower = head\nfor _ in range(n):\n faster = faster.next\nif not faster:\n return head.next\nwhile faster:\n faster = faster.next\n if not faster:\n break\n lower = lower.next\nlower.next = lower.next.next\nreturn head",
"length = 0\nsource = head\nwhile head:\n head = head.next\... | <|body_start_0|>
faster = lower = head
for _ in range(n):
faster = faster.next
if not faster:
return head.next
while faster:
faster = faster.next
if not faster:
break
lower = lower.next
lower.next = lower... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def _removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_0|>
def removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_017638 | 2,050 | permissive | [
{
"docstring": ":type head: ListNode :type n: int :rtype: ListNode",
"name": "_removeNthFromEnd",
"signature": "def _removeNthFromEnd(self, head, n)"
},
{
"docstring": ":type head: ListNode :type n: int :rtype: ListNode",
"name": "removeNthFromEnd",
"signature": "def removeNthFromEnd(sel... | 2 | stack_v2_sparse_classes_30k_train_021319 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def _removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode
- def removeNthFromEnd(self, head, n): :type head: ListNode :type n: int :rtype: ListNode... | 0dd67edca4e0b0323cb5a7239f02ea46383cd15a | <|skeleton|>
class Solution:
def _removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_0|>
def removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def _removeNthFromEnd(self, head, n):
""":type head: ListNode :type n: int :rtype: ListNode"""
faster = lower = head
for _ in range(n):
faster = faster.next
if not faster:
return head.next
while faster:
faster = faster.next
... | the_stack_v2_python_sparse | 19.remove-nth-node-from-end-of-list.py | windard/leeeeee | train | 0 | |
745ceddda99a5aaac486cec07dcd3158aeef69a2 | [
"if request.args.get('merchant_code'):\n instance = self.model.objects(merchant_code=request.args.get('merchant_code')).first()\n if instance:\n return self.detail_schema.dump(instance).data\nreturn {}",
"if not request.json.get('id'):\n return super().post()\nreturn super().put()"
] | <|body_start_0|>
if request.args.get('merchant_code'):
instance = self.model.objects(merchant_code=request.args.get('merchant_code')).first()
if instance:
return self.detail_schema.dump(instance).data
return {}
<|end_body_0|>
<|body_start_1|>
if not reque... | 租户签章管理 | CFCASealCodeAPI | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CFCASealCodeAPI:
"""租户签章管理"""
def get(self):
"""根据bid查询租户签章信息"""
<|body_0|>
def put(self):
"""更新租户签章配置"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if request.args.get('merchant_code'):
instance = self.model.objects(merchant_code=... | stack_v2_sparse_classes_36k_train_017639 | 6,478 | no_license | [
{
"docstring": "根据bid查询租户签章信息",
"name": "get",
"signature": "def get(self)"
},
{
"docstring": "更新租户签章配置",
"name": "put",
"signature": "def put(self)"
}
] | 2 | null | Implement the Python class `CFCASealCodeAPI` described below.
Class description:
租户签章管理
Method signatures and docstrings:
- def get(self): 根据bid查询租户签章信息
- def put(self): 更新租户签章配置 | Implement the Python class `CFCASealCodeAPI` described below.
Class description:
租户签章管理
Method signatures and docstrings:
- def get(self): 根据bid查询租户签章信息
- def put(self): 更新租户签章配置
<|skeleton|>
class CFCASealCodeAPI:
"""租户签章管理"""
def get(self):
"""根据bid查询租户签章信息"""
<|body_0|>
def put(self)... | 9f4553a6ea6d703f0ff3e330b090ee10e2b9a12a | <|skeleton|>
class CFCASealCodeAPI:
"""租户签章管理"""
def get(self):
"""根据bid查询租户签章信息"""
<|body_0|>
def put(self):
"""更新租户签章配置"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CFCASealCodeAPI:
"""租户签章管理"""
def get(self):
"""根据bid查询租户签章信息"""
if request.args.get('merchant_code'):
instance = self.model.objects(merchant_code=request.args.get('merchant_code')).first()
if instance:
return self.detail_schema.dump(instance).data
... | the_stack_v2_python_sparse | xxw/support/src/modules/contract.py | GSIL-Monitor/xxw | train | 0 |
4ff3f3e0aed1dfa6f71844a9c7491bf8af53424d | [
"user = get_user_model().objects.create(username='test_user', password='test')\nself.client.force_authenticate(user=user)\nresponse = self.get_user_info()\ndata = json.loads(response.content)\nself.assertEqual(response.status_code, status.HTTP_200_OK, 'Server did not return Status Code: 200')\nself.assertEqual(data... | <|body_start_0|>
user = get_user_model().objects.create(username='test_user', password='test')
self.client.force_authenticate(user=user)
response = self.get_user_info()
data = json.loads(response.content)
self.assertEqual(response.status_code, status.HTTP_200_OK, 'Server did not ... | AuthenticationTestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuthenticationTestCase:
def test_get_user_info(self):
"""We can retrieve User info using API"""
<|body_0|>
def test_unauthorized_requests(self):
"""Verifies that no endpoint can be accessed without authentication"""
<|body_1|>
<|end_skeleton|>
<|body_start_... | stack_v2_sparse_classes_36k_train_017640 | 5,402 | no_license | [
{
"docstring": "We can retrieve User info using API",
"name": "test_get_user_info",
"signature": "def test_get_user_info(self)"
},
{
"docstring": "Verifies that no endpoint can be accessed without authentication",
"name": "test_unauthorized_requests",
"signature": "def test_unauthorized_... | 2 | stack_v2_sparse_classes_30k_train_007029 | Implement the Python class `AuthenticationTestCase` described below.
Class description:
Implement the AuthenticationTestCase class.
Method signatures and docstrings:
- def test_get_user_info(self): We can retrieve User info using API
- def test_unauthorized_requests(self): Verifies that no endpoint can be accessed wi... | Implement the Python class `AuthenticationTestCase` described below.
Class description:
Implement the AuthenticationTestCase class.
Method signatures and docstrings:
- def test_get_user_info(self): We can retrieve User info using API
- def test_unauthorized_requests(self): Verifies that no endpoint can be accessed wi... | 04713113ce141d7e12a2ddb9e85aac5e50388f80 | <|skeleton|>
class AuthenticationTestCase:
def test_get_user_info(self):
"""We can retrieve User info using API"""
<|body_0|>
def test_unauthorized_requests(self):
"""Verifies that no endpoint can be accessed without authentication"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AuthenticationTestCase:
def test_get_user_info(self):
"""We can retrieve User info using API"""
user = get_user_model().objects.create(username='test_user', password='test')
self.client.force_authenticate(user=user)
response = self.get_user_info()
data = json.loads(resp... | the_stack_v2_python_sparse | curriculum_algorithm/tests.py | Joshuacruzc/CurriculumAlgorithm | train | 1 | |
fb5d8f27cd7ebe851f0c81ee8e1e3a920d8e0eaf | [
"super(CrystalGraphConvNet, self).__init__()\nself.classification = classification\nself.embedding = nn.Linear(orig_atom_fea_len, atom_fea_len)\nself.convs = nn.ModuleList([ConvLayer(atom_fea_len=atom_fea_len, nbr_fea_len=nbr_fea_len) for _ in range(n_conv)])\nself.conv_to_fc = nn.Linear(atom_fea_len, h_fea_len)\ns... | <|body_start_0|>
super(CrystalGraphConvNet, self).__init__()
self.classification = classification
self.embedding = nn.Linear(orig_atom_fea_len, atom_fea_len)
self.convs = nn.ModuleList([ConvLayer(atom_fea_len=atom_fea_len, nbr_fea_len=nbr_fea_len) for _ in range(n_conv)])
self.co... | Create a crystal graph convolutional neural network for predicting total material properties. | CrystalGraphConvNet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CrystalGraphConvNet:
"""Create a crystal graph convolutional neural network for predicting total material properties."""
def __init__(self, orig_atom_fea_len: int, nbr_fea_len: int, atom_fea_len: int=64, n_conv: int=3, h_fea_len: int=128, n_h: int=1, classification: bool=False):
"""I... | stack_v2_sparse_classes_36k_train_017641 | 9,607 | permissive | [
{
"docstring": "Initialize CrystalGraphConvNet. Args: orig_atom_fea_len: int Number of atom features in the input. nbr_fea_len: int Number of bond features. atom_fea_len: int Number of hidden atom features in the convolutional layers. n_conv: int Number of convolutional layers. h_fea_len: int Number of hidden f... | 3 | null | Implement the Python class `CrystalGraphConvNet` described below.
Class description:
Create a crystal graph convolutional neural network for predicting total material properties.
Method signatures and docstrings:
- def __init__(self, orig_atom_fea_len: int, nbr_fea_len: int, atom_fea_len: int=64, n_conv: int=3, h_fea... | Implement the Python class `CrystalGraphConvNet` described below.
Class description:
Create a crystal graph convolutional neural network for predicting total material properties.
Method signatures and docstrings:
- def __init__(self, orig_atom_fea_len: int, nbr_fea_len: int, atom_fea_len: int=64, n_conv: int=3, h_fea... | 0b69b7d5b261f2f9af3984793c1295b9b80cd01a | <|skeleton|>
class CrystalGraphConvNet:
"""Create a crystal graph convolutional neural network for predicting total material properties."""
def __init__(self, orig_atom_fea_len: int, nbr_fea_len: int, atom_fea_len: int=64, n_conv: int=3, h_fea_len: int=128, n_h: int=1, classification: bool=False):
"""I... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CrystalGraphConvNet:
"""Create a crystal graph convolutional neural network for predicting total material properties."""
def __init__(self, orig_atom_fea_len: int, nbr_fea_len: int, atom_fea_len: int=64, n_conv: int=3, h_fea_len: int=128, n_h: int=1, classification: bool=False):
"""Initialize Cry... | the_stack_v2_python_sparse | src/gt4sd/frameworks/cgcnn/model.py | GT4SD/gt4sd-core | train | 239 |
d0dc059f717ff4cd9b1e0e706d4f6a8f211cd88e | [
"jobs = sorted(zip(startTime, endTime, profit), key=lambda v: v[1])\ndp = [[0, 0]]\nfor start, end, profit in jobs:\n i = bisect.bisect(dp, [start + 1]) - 1\n if dp[i][1] + profit > dp[-1][1]:\n dp.append([end, dp[i][1] + profit])\nreturn dp[-1][1]",
"jobs = sorted(zip(startTime, endTime, profit), ke... | <|body_start_0|>
jobs = sorted(zip(startTime, endTime, profit), key=lambda v: v[1])
dp = [[0, 0]]
for start, end, profit in jobs:
i = bisect.bisect(dp, [start + 1]) - 1
if dp[i][1] + profit > dp[-1][1]:
dp.append([end, dp[i][1] + profit])
return dp... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary sea... | stack_v2_sparse_classes_36k_train_017642 | 2,115 | no_license | [
{
"docstring": "https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary search for each job Space O(N)",
"name": "jobScheduling",
"signature": "def jobScheduling(self, startTime: li... | 2 | stack_v2_sparse_classes_30k_train_004447 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int: https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int: https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2... | e50dc0642f087f37ab3234390be3d8a0ed48fe62 | <|skeleton|>
class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary sea... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def jobScheduling(self, startTime: list[int], endTime: list[int], profit: list[int]) -> int:
"""https://leetcode.com/problems/maximum-profit-in-job-scheduling/discuss/409009/JavaC%2B%2BPython-DP-Solution dynamic programming Time O(NlogN) for sorting Time O(NlogN) for binary search for each j... | the_stack_v2_python_sparse | Leetcode/ByteDance/1235. Maximum Profit in Job Scheduling.py | brlala/Educative-Grokking-Coding-Exercise | train | 3 | |
7d15c584f0ab635e7a0d7799c049fd24c0975909 | [
"if self._is_red:\n return Red_Knight\nelse:\n return BLACK_Knight",
"pre_moves = [(+1, +2), (+1, -2), (-1, +2), (-1, -2), (+2, +1), (+2, -1), (-2, +1), (-2, -1)]\nblocks = [(self._x, self._y + 1), (self._x, self._y - 1), (self._x, self._y + 1), (self._x, self._y + 1), (self._x + 1, self._y), (self._x + 1, ... | <|body_start_0|>
if self._is_red:
return Red_Knight
else:
return BLACK_Knight
<|end_body_0|>
<|body_start_1|>
pre_moves = [(+1, +2), (+1, -2), (-1, +2), (-1, -2), (+2, +1), (+2, -1), (-2, +1), (-2, -1)]
blocks = [(self._x, self._y + 1), (self._x, self._y - 1), (s... | 马类 | Knight | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Knight:
"""马类"""
def image(self):
"""获取棋子图像"""
<|body_0|>
def get_moves(self, pieces: dict):
"""获取能移动的位置"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if self._is_red:
return Red_Knight
else:
return BLACK_Knight... | stack_v2_sparse_classes_36k_train_017643 | 1,373 | permissive | [
{
"docstring": "获取棋子图像",
"name": "image",
"signature": "def image(self)"
},
{
"docstring": "获取能移动的位置",
"name": "get_moves",
"signature": "def get_moves(self, pieces: dict)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014459 | Implement the Python class `Knight` described below.
Class description:
马类
Method signatures and docstrings:
- def image(self): 获取棋子图像
- def get_moves(self, pieces: dict): 获取能移动的位置 | Implement the Python class `Knight` described below.
Class description:
马类
Method signatures and docstrings:
- def image(self): 获取棋子图像
- def get_moves(self, pieces: dict): 获取能移动的位置
<|skeleton|>
class Knight:
"""马类"""
def image(self):
"""获取棋子图像"""
<|body_0|>
def get_moves(self, pieces: d... | af9aa36d9f46452b38433580253c7e2853bb6478 | <|skeleton|>
class Knight:
"""马类"""
def image(self):
"""获取棋子图像"""
<|body_0|>
def get_moves(self, pieces: dict):
"""获取能移动的位置"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Knight:
"""马类"""
def image(self):
"""获取棋子图像"""
if self._is_red:
return Red_Knight
else:
return BLACK_Knight
def get_moves(self, pieces: dict):
"""获取能移动的位置"""
pre_moves = [(+1, +2), (+1, -2), (-1, +2), (-1, -2), (+2, +1), (+2, -1), (-2, ... | the_stack_v2_python_sparse | chess/chessman/knight.py | kimi9527/chess-yi | train | 0 |
e4715605ab6de7acba601bddfbb0111395d30023 | [
"self._annot_table.itemSelectionChanged.connect(self._fcn_annot_goto)\nself._annot_table.cellChanged.connect(self._fcn_text_edited)\nself._annot_txtsz.valueChanged.connect(self._fcn_annot_appear)\nself._annot_marksz.valueChanged.connect(self._fcn_annot_appear)\nself._annot_color.editingFinished.connect(self._fcn_an... | <|body_start_0|>
self._annot_table.itemSelectionChanged.connect(self._fcn_annot_goto)
self._annot_table.cellChanged.connect(self._fcn_text_edited)
self._annot_txtsz.valueChanged.connect(self._fcn_annot_appear)
self._annot_marksz.valueChanged.connect(self._fcn_annot_appear)
self._... | Annotations interactions. | UiAnnotations | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UiAnnotations:
"""Annotations interactions."""
def __init__(self):
"""Init."""
<|body_0|>
def _annotate_event(self, signal, coord, text='Enter annotation'):
"""Annotate event."""
<|body_1|>
def _fcn_annot_goto(self):
"""Select the annotation.... | stack_v2_sparse_classes_36k_train_017644 | 4,395 | permissive | [
{
"docstring": "Init.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Annotate event.",
"name": "_annotate_event",
"signature": "def _annotate_event(self, signal, coord, text='Enter annotation')"
},
{
"docstring": "Select the annotation.",
"name": "... | 6 | stack_v2_sparse_classes_30k_train_020556 | Implement the Python class `UiAnnotations` described below.
Class description:
Annotations interactions.
Method signatures and docstrings:
- def __init__(self): Init.
- def _annotate_event(self, signal, coord, text='Enter annotation'): Annotate event.
- def _fcn_annot_goto(self): Select the annotation.
- def _fcn_tex... | Implement the Python class `UiAnnotations` described below.
Class description:
Annotations interactions.
Method signatures and docstrings:
- def __init__(self): Init.
- def _annotate_event(self, signal, coord, text='Enter annotation'): Annotate event.
- def _fcn_annot_goto(self): Select the annotation.
- def _fcn_tex... | be096aa8a7058c329e7120d0bdb45d3c9eb8be42 | <|skeleton|>
class UiAnnotations:
"""Annotations interactions."""
def __init__(self):
"""Init."""
<|body_0|>
def _annotate_event(self, signal, coord, text='Enter annotation'):
"""Annotate event."""
<|body_1|>
def _fcn_annot_goto(self):
"""Select the annotation.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UiAnnotations:
"""Annotations interactions."""
def __init__(self):
"""Init."""
self._annot_table.itemSelectionChanged.connect(self._fcn_annot_goto)
self._annot_table.cellChanged.connect(self._fcn_text_edited)
self._annot_txtsz.valueChanged.connect(self._fcn_annot_appear)
... | the_stack_v2_python_sparse | visbrain/gui/signal/ui_elements/ui_annotations.py | lassemadsen/visbrain | train | 0 |
7a150a72e85d60b65b4ff07e99ddc0b79e39d054 | [
"QTreeWidgetItem.__init__(self, parent)\nself.taskData = task\nself.taskId = task['id']\nself.taskState = None\nself.setText(COL_RUNNING_ID, str(task['id']))\nself.setText(COL_RUNNING_PROJECT, instance().getProjectName(task['project-id']))\nself.setText(COL_RUNNING_NAME, str(task['name']))\nself.setText(COL_RUNNING... | <|body_start_0|>
QTreeWidgetItem.__init__(self, parent)
self.taskData = task
self.taskId = task['id']
self.taskState = None
self.setText(COL_RUNNING_ID, str(task['id']))
self.setText(COL_RUNNING_PROJECT, instance().getProjectName(task['project-id']))
self.setText(... | Treewidget item for task running | TaskRunningItem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskRunningItem:
"""Treewidget item for task running"""
def __init__(self, task, parent=None):
"""Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:"""
<|body_0|>
def setStateIcon(self, state):
"""Set the icon state"""
... | stack_v2_sparse_classes_36k_train_017645 | 49,955 | permissive | [
{
"docstring": "Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:",
"name": "__init__",
"signature": "def __init__(self, task, parent=None)"
},
{
"docstring": "Set the icon state",
"name": "setStateIcon",
"signature": "def setStateIcon(self, state... | 2 | stack_v2_sparse_classes_30k_train_002379 | Implement the Python class `TaskRunningItem` described below.
Class description:
Treewidget item for task running
Method signatures and docstrings:
- def __init__(self, task, parent=None): Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:
- def setStateIcon(self, state): Set t... | Implement the Python class `TaskRunningItem` described below.
Class description:
Treewidget item for task running
Method signatures and docstrings:
- def __init__(self, task, parent=None): Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:
- def setStateIcon(self, state): Set t... | 66f65dd6e4a48909120f63239f630147c733df3f | <|skeleton|>
class TaskRunningItem:
"""Treewidget item for task running"""
def __init__(self, task, parent=None):
"""Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:"""
<|body_0|>
def setStateIcon(self, state):
"""Set the icon state"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TaskRunningItem:
"""Treewidget item for task running"""
def __init__(self, task, parent=None):
"""Constructs TaskItem widget item @param task: @type task: list @param parent: @type parent:"""
QTreeWidgetItem.__init__(self, parent)
self.taskData = task
self.taskId = task['i... | the_stack_v2_python_sparse | ServerExplorer/TestManager.py | ExtensiveAutomation/extensiveautomation-appclient | train | 2 |
be138294136758c22557003984d14c84323874b3 | [
"timer = pv.Timer()\npoints = TEST_POINTS_5D\ntimer.mark('Tree Build Start')\nkdtree = FLANNTree(points)\ntimer.mark('Tree Build Time')\nknn = KNearestNeighbors(points)\ntimer.mark('Linear Build Time')\ntimer.mark('Query Start')\nfdist, _ = kdtree.query([0.05, 0.3, 0.9, 0.6, 0.2], k=4)\ntimer.mark('KDTree Query')\n... | <|body_start_0|>
timer = pv.Timer()
points = TEST_POINTS_5D
timer.mark('Tree Build Start')
kdtree = FLANNTree(points)
timer.mark('Tree Build Time')
knn = KNearestNeighbors(points)
timer.mark('Linear Build Time')
timer.mark('Query Start')
fdist, _ =... | AKNNTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AKNNTest:
def testLargeTree(self):
"""Tests using a large tree."""
<|body_0|>
def testReallyLargeTree(self):
"""Tests using a really large tree."""
<|body_1|>
def testHighDim(self):
"""test using high dimensions"""
<|body_2|>
def tes... | stack_v2_sparse_classes_36k_train_017646 | 39,118 | permissive | [
{
"docstring": "Tests using a large tree.",
"name": "testLargeTree",
"signature": "def testLargeTree(self)"
},
{
"docstring": "Tests using a really large tree.",
"name": "testReallyLargeTree",
"signature": "def testReallyLargeTree(self)"
},
{
"docstring": "test using high dimensi... | 4 | null | Implement the Python class `AKNNTest` described below.
Class description:
Implement the AKNNTest class.
Method signatures and docstrings:
- def testLargeTree(self): Tests using a large tree.
- def testReallyLargeTree(self): Tests using a really large tree.
- def testHighDim(self): test using high dimensions
- def tes... | Implement the Python class `AKNNTest` described below.
Class description:
Implement the AKNNTest class.
Method signatures and docstrings:
- def testLargeTree(self): Tests using a large tree.
- def testReallyLargeTree(self): Tests using a really large tree.
- def testHighDim(self): test using high dimensions
- def tes... | caa4e0254f55c5c8f3464807556b9414ea731293 | <|skeleton|>
class AKNNTest:
def testLargeTree(self):
"""Tests using a large tree."""
<|body_0|>
def testReallyLargeTree(self):
"""Tests using a really large tree."""
<|body_1|>
def testHighDim(self):
"""test using high dimensions"""
<|body_2|>
def tes... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AKNNTest:
def testLargeTree(self):
"""Tests using a large tree."""
timer = pv.Timer()
points = TEST_POINTS_5D
timer.mark('Tree Build Start')
kdtree = FLANNTree(points)
timer.mark('Tree Build Time')
knn = KNearestNeighbors(points)
timer.mark('Line... | the_stack_v2_python_sparse | src/pyvision/ml/knn.py | bolme/pyvision | train | 47 | |
89eada8540f136577f80e6c2e797c3d17d958a9c | [
"self.switch_profiles = switch_profiles\nself.switches = switches\nself.stacks = stacks\nself.stp_priority = stp_priority",
"if dictionary is None:\n return None\nstp_priority = dictionary.get('stpPriority')\nswitch_profiles = dictionary.get('switchProfiles')\nswitches = dictionary.get('switches')\nstacks = di... | <|body_start_0|>
self.switch_profiles = switch_profiles
self.switches = switches
self.stacks = stacks
self.stp_priority = stp_priority
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
stp_priority = dictionary.get('stpPriority')
swit... | Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of string): List of stack IDs stp_priority (int): STP priority for switch, stacks, or switch ... | StpBridgePriorityModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StpBridgePriorityModel:
"""Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of string): List of stack IDs stp_priority ... | stack_v2_sparse_classes_36k_train_017647 | 2,255 | permissive | [
{
"docstring": "Constructor for the StpBridgePriorityModel class",
"name": "__init__",
"signature": "def __init__(self, stp_priority=None, switch_profiles=None, switches=None, stacks=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A di... | 2 | stack_v2_sparse_classes_30k_train_013512 | Implement the Python class `StpBridgePriorityModel` described below.
Class description:
Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of s... | Implement the Python class `StpBridgePriorityModel` described below.
Class description:
Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of s... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class StpBridgePriorityModel:
"""Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of string): List of stack IDs stp_priority ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StpBridgePriorityModel:
"""Implementation of the 'StpBridgePriority' model. TODO: type model description here. Attributes: switch_profiles (list of string): List of switch profile IDs switches (list of string): List of switch serial numbers stacks (list of string): List of stack IDs stp_priority (int): STP pr... | the_stack_v2_python_sparse | meraki/models/stp_bridge_priority_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
81f3bfc03d0609d6f20c9ac1e8bd4e537c3f9c6e | [
"new_data = []\nfor data in data_list:\n repo_data = repo[data]\n for row in repo_data.find():\n element = {}\n element['facility_type'] = data[17:]\n element['coordinates'] = row['geometry']['coordinates'][::-1]\n new_data.append(element)\nreturn new_data",
"startTime = datetime... | <|body_start_0|>
new_data = []
for data in data_list:
repo_data = repo[data]
for row in repo_data.find():
element = {}
element['facility_type'] = data[17:]
element['coordinates'] = row['geometry']['coordinates'][::-1]
... | boston_fire_facility_transformation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class boston_fire_facility_transformation:
def merge_data(data_list, repo):
""":param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merged data which includes Boston Fire Hydrants, Fire Department, Fire Alarm Boxes with their coordinates and zipcode"""
... | stack_v2_sparse_classes_36k_train_017648 | 5,696 | no_license | [
{
"docstring": ":param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merged data which includes Boston Fire Hydrants, Fire Department, Fire Alarm Boxes with their coordinates and zipcode",
"name": "merge_data",
"signature": "def merge_data(data_list, repo)"
},
{
... | 3 | null | Implement the Python class `boston_fire_facility_transformation` described below.
Class description:
Implement the boston_fire_facility_transformation class.
Method signatures and docstrings:
- def merge_data(data_list, repo): :param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merg... | Implement the Python class `boston_fire_facility_transformation` described below.
Class description:
Implement the boston_fire_facility_transformation class.
Method signatures and docstrings:
- def merge_data(data_list, repo): :param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merg... | 90284cf3debbac36eead07b8d2339cdd191b86cf | <|skeleton|>
class boston_fire_facility_transformation:
def merge_data(data_list, repo):
""":param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merged data which includes Boston Fire Hydrants, Fire Department, Fire Alarm Boxes with their coordinates and zipcode"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class boston_fire_facility_transformation:
def merge_data(data_list, repo):
""":param data_list: The data list of mongodb as input :param repo: Mongodb repo :return: merged data which includes Boston Fire Hydrants, Fire Department, Fire Alarm Boxes with their coordinates and zipcode"""
new_data = []... | the_stack_v2_python_sparse | liweixi_mogujzhu/boston_fire_facility_transformation.py | maximega/course-2019-spr-proj | train | 2 | |
d17b356c49fa061238cd547dd0bc0693e654ecef | [
"self.w = w\nself.total_weights = sum(self.w)\nfor i in range(1, len(self.w)):\n self.w[i] += self.w[i - 1]",
"rand = random.randint(1, self.total_weights)\nl, r = (0, len(self.w) - 1)\nwhile l < r:\n mid = (l + r) // 2\n if rand <= self.w[mid]:\n r = mid\n else:\n l = mid + 1\nreturn l"... | <|body_start_0|>
self.w = w
self.total_weights = sum(self.w)
for i in range(1, len(self.w)):
self.w[i] += self.w[i - 1]
<|end_body_0|>
<|body_start_1|>
rand = random.randint(1, self.total_weights)
l, r = (0, len(self.w) - 1)
while l < r:
mid = (l ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.w = w
self.total_weights = sum(self.w)
for i in range(1, len(self.w)):
... | stack_v2_sparse_classes_36k_train_017649 | 1,227 | no_license | [
{
"docstring": ":type w: List[int]",
"name": "__init__",
"signature": "def __init__(self, w)"
},
{
"docstring": ":rtype: int",
"name": "pickIndex",
"signature": "def pickIndex(self)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int]
- def pickIndex(self): :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def __init__(self, w): :type w: List[int]
- def pickIndex(self): :rtype: int
<|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|... | 9126c2089e41d4d7fd3a204115eba2b5074076ad | <|skeleton|>
class Solution:
def __init__(self, w):
""":type w: List[int]"""
<|body_0|>
def pickIndex(self):
""":rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def __init__(self, w):
""":type w: List[int]"""
self.w = w
self.total_weights = sum(self.w)
for i in range(1, len(self.w)):
self.w[i] += self.w[i - 1]
def pickIndex(self):
""":rtype: int"""
rand = random.randint(1, self.total_weights)
... | the_stack_v2_python_sparse | 528_Random Pick with Weight.py | Shwan-Yu/Data_Structures_and_Algorithms | train | 0 | |
ed3f26ef057ede9e7ce35e66e0fbffe3705fce9a | [
"super(ButtonTab, self).__init__(*args, **kwargs)\nself.setCheckable(True)\nself.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)\nself.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)",
"key = event.key()\nif key in [Qt.Key_Enter, Qt.Key_Return]:\n self.animateClick()\nsuper(ButtonTab, self).keyPres... | <|body_start_0|>
super(ButtonTab, self).__init__(*args, **kwargs)
self.setCheckable(True)
self.setToolButtonStyle(Qt.ToolButtonTextBesideIcon)
self.setSizePolicy(QSizePolicy.Expanding, QSizePolicy.Expanding)
<|end_body_0|>
<|body_start_1|>
key = event.key()
if key in [Qt... | Button used in custom tab bar for CSS styling. | ButtonTab | [
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ButtonTab:
"""Button used in custom tab bar for CSS styling."""
def __init__(self, *args, **kwargs):
"""Button used in custom tab bar for CSS styling."""
<|body_0|>
def keyPressEvent(self, event):
"""Override Qt method."""
<|body_1|>
<|end_skeleton|>
<|... | stack_v2_sparse_classes_36k_train_017650 | 9,075 | permissive | [
{
"docstring": "Button used in custom tab bar for CSS styling.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Override Qt method.",
"name": "keyPressEvent",
"signature": "def keyPressEvent(self, event)"
}
] | 2 | null | Implement the Python class `ButtonTab` described below.
Class description:
Button used in custom tab bar for CSS styling.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Button used in custom tab bar for CSS styling.
- def keyPressEvent(self, event): Override Qt method. | Implement the Python class `ButtonTab` described below.
Class description:
Button used in custom tab bar for CSS styling.
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Button used in custom tab bar for CSS styling.
- def keyPressEvent(self, event): Override Qt method.
<|skeleton|>
class Bu... | 4c38b112f5c40b43d6ec126e415b609c7fdc1f39 | <|skeleton|>
class ButtonTab:
"""Button used in custom tab bar for CSS styling."""
def __init__(self, *args, **kwargs):
"""Button used in custom tab bar for CSS styling."""
<|body_0|>
def keyPressEvent(self, event):
"""Override Qt method."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ButtonTab:
"""Button used in custom tab bar for CSS styling."""
def __init__(self, *args, **kwargs):
"""Button used in custom tab bar for CSS styling."""
super(ButtonTab, self).__init__(*args, **kwargs)
self.setCheckable(True)
self.setToolButtonStyle(Qt.ToolButtonTextBesid... | the_stack_v2_python_sparse | lib/python2.7/site-packages/anaconda_navigator/widgets/tabs/tabwidget.py | sunnyweilai/Finding-Theme-Color-Palettes | train | 1 |
165d411bf20925e51cbbf2bb65c510e470e28659 | [
"BlenderBot2RagAgent.add_cmdline_args(parser, partial_opt)\nmbot_group = parser.add_argument_group('Memory Agent Args')\nmbot_group.set_defaults(knowledge_access_method=KnowledgeAccessMethod.MEMORY_ONLY.value)\nmbot_group.set_defaults(memory_key='full_text')\nmbot_group.add_argument('--memory-extractor-phrases', ty... | <|body_start_0|>
BlenderBot2RagAgent.add_cmdline_args(parser, partial_opt)
mbot_group = parser.add_argument_group('Memory Agent Args')
mbot_group.set_defaults(knowledge_access_method=KnowledgeAccessMethod.MEMORY_ONLY.value)
mbot_group.set_defaults(memory_key='full_text')
mbot_gro... | Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors). | MemoryRagAgent | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MemoryRagAgent:
"""Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors)."""
def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiParser:
"""Add Memory Agent Args."""
<|body_0|>
def... | stack_v2_sparse_classes_36k_train_017651 | 9,358 | permissive | [
{
"docstring": "Add Memory Agent Args.",
"name": "add_cmdline_args",
"signature": "def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiParser"
},
{
"docstring": "Override RAG.set_query_vec to optionally filter keys.",
"name": "_set_query_vec",
"signa... | 3 | null | Implement the Python class `MemoryRagAgent` described below.
Class description:
Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors).
Method signatures and docstrings:
- def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiPars... | Implement the Python class `MemoryRagAgent` described below.
Class description:
Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors).
Method signatures and docstrings:
- def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiPars... | e1d899edfb92471552bae153f59ad30aa7fca468 | <|skeleton|>
class MemoryRagAgent:
"""Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors)."""
def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiParser:
"""Add Memory Agent Args."""
<|body_0|>
def... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MemoryRagAgent:
"""Subclass BlenderBot2RagAgent to provide MemoryModel with appropriate inputs (specifically, memory vectors)."""
def add_cmdline_args(cls, parser: ParlaiParser, partial_opt: Optional[Opt]=None) -> ParlaiParser:
"""Add Memory Agent Args."""
BlenderBot2RagAgent.add_cmdline_... | the_stack_v2_python_sparse | projects/msc/agents/memory_agent.py | facebookresearch/ParlAI | train | 10,943 |
55d72c67ad38d7dae4f05c6d1cb7e56ae730e236 | [
"c0 = Coordinates()\nself.assertIsNot(c0, None)\nself.assertIsInstance(c0, Coordinates)",
"c0 = Coordinates([1])\nself.assertIsNot(c0, None)\nself.assertIsInstance(c0, Coordinates)\nc1 = Coordinates([1, 2, 3])\nself.assertIsNot(c1, None)\nself.assertIsInstance(c1, Coordinates)\nc2 = Coordinates('xyz')\nc3 = Coord... | <|body_start_0|>
c0 = Coordinates()
self.assertIsNot(c0, None)
self.assertIsInstance(c0, Coordinates)
<|end_body_0|>
<|body_start_1|>
c0 = Coordinates([1])
self.assertIsNot(c0, None)
self.assertIsInstance(c0, Coordinates)
c1 = Coordinates([1, 2, 3])
self.... | Test Coordinate class calls | TestConstructor_Coordinate | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestConstructor_Coordinate:
"""Test Coordinate class calls"""
def test_none(self):
"""Calling Coordinates class with no key (kay = None)"""
<|body_0|>
def test_iterable(self):
"""Calling Coordinates class with key conaining simple types"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_017652 | 6,423 | permissive | [
{
"docstring": "Calling Coordinates class with no key (kay = None)",
"name": "test_none",
"signature": "def test_none(self)"
},
{
"docstring": "Calling Coordinates class with key conaining simple types",
"name": "test_iterable",
"signature": "def test_iterable(self)"
},
{
"docstr... | 3 | stack_v2_sparse_classes_30k_train_007579 | Implement the Python class `TestConstructor_Coordinate` described below.
Class description:
Test Coordinate class calls
Method signatures and docstrings:
- def test_none(self): Calling Coordinates class with no key (kay = None)
- def test_iterable(self): Calling Coordinates class with key conaining simple types
- def... | Implement the Python class `TestConstructor_Coordinate` described below.
Class description:
Test Coordinate class calls
Method signatures and docstrings:
- def test_none(self): Calling Coordinates class with no key (kay = None)
- def test_iterable(self): Calling Coordinates class with key conaining simple types
- def... | f9b00a39bc16aea4abac60c0dd0aab2acac5adcf | <|skeleton|>
class TestConstructor_Coordinate:
"""Test Coordinate class calls"""
def test_none(self):
"""Calling Coordinates class with no key (kay = None)"""
<|body_0|>
def test_iterable(self):
"""Calling Coordinates class with key conaining simple types"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestConstructor_Coordinate:
"""Test Coordinate class calls"""
def test_none(self):
"""Calling Coordinates class with no key (kay = None)"""
c0 = Coordinates()
self.assertIsNot(c0, None)
self.assertIsInstance(c0, Coordinates)
def test_iterable(self):
"""Calling... | the_stack_v2_python_sparse | _BACKUPS_v3/v3_1/LightPicture_Test.py | nagame/LightPicture | train | 0 |
031d8fa3af0b4fe49a3f09f41d414480858b05f6 | [
"writer.write(indent + '<' + self.tagName)\nattrs = self._get_attributes()\nfor a_name in attrs.keys():\n writer.write(' %s=\"' % a_name)\n self.write_data(writer, attrs[a_name].value)\n writer.write('\"')\nif self.childNodes:\n writer.write('>')\n if len(self.childNodes) == 1 and self.childNodes[0].... | <|body_start_0|>
writer.write(indent + '<' + self.tagName)
attrs = self._get_attributes()
for a_name in attrs.keys():
writer.write(' %s="' % a_name)
self.write_data(writer, attrs[a_name].value)
writer.write('"')
if self.childNodes:
writer.w... | NElement | [
"MIT",
"GPL-3.0-only",
"GPL-1.0-or-later",
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NElement:
def writexml(self, writer, indent='', add_indent='', new_line=''):
"""Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation."""
<|body_0|>
def write_data(writer, data):
"""Writes data chars to writer."""
<|b... | stack_v2_sparse_classes_36k_train_017653 | 4,467 | permissive | [
{
"docstring": "Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation.",
"name": "writexml",
"signature": "def writexml(self, writer, indent='', add_indent='', new_line='')"
},
{
"docstring": "Writes data chars to writer.",
"name": "write_data",
... | 2 | stack_v2_sparse_classes_30k_train_004489 | Implement the Python class `NElement` described below.
Class description:
Implement the NElement class.
Method signatures and docstrings:
- def writexml(self, writer, indent='', add_indent='', new_line=''): Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation.
- def write_da... | Implement the Python class `NElement` described below.
Class description:
Implement the NElement class.
Method signatures and docstrings:
- def writexml(self, writer, indent='', add_indent='', new_line=''): Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation.
- def write_da... | 917e184486ff212b4a19b36ab726343f900da8b7 | <|skeleton|>
class NElement:
def writexml(self, writer, indent='', add_indent='', new_line=''):
"""Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation."""
<|body_0|>
def write_data(writer, data):
"""Writes data chars to writer."""
<|b... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class NElement:
def writexml(self, writer, indent='', add_indent='', new_line=''):
"""Overridden specifically for neutrino for more correct [' -> optional] xml attrs generation."""
writer.write(indent + '<' + self.tagName)
attrs = self._get_attributes()
for a_name in attrs.keys(... | the_stack_v2_python_sparse | app/eparser/neutrino/nxml.py | DYefremov/DemonEditor | train | 105 | |
b0a5170e600d915e8edab2378afcb5f17b9fc8d9 | [
"super().__init__()\nself.device = device\nself.tok_embedding = nn.Embedding(num_embeddings=output_dim, embedding_dim=hid_dim)\nself.pos_embedding = nn.Embedding(num_embeddings=max_length, embedding_dim=hid_dim)\nself.layers = nn.ModuleList([GatedDecoderLayer(hid_dim, n_heads, pf_dim, dropout, device) for _ in rang... | <|body_start_0|>
super().__init__()
self.device = device
self.tok_embedding = nn.Embedding(num_embeddings=output_dim, embedding_dim=hid_dim)
self.pos_embedding = nn.Embedding(num_embeddings=max_length, embedding_dim=hid_dim)
self.layers = nn.ModuleList([GatedDecoderLayer(hid_dim,... | Decoder | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Decoder:
def __init__(self, output_dim: int, hid_dim: int, n_layers: int, n_heads: int, pf_dim: int, dropout: float, device: str, max_length=100):
"""Decoder class for Gated Transformer which is similar to the Encoder but also has + mask multi-head attention layer over target sequence + ... | stack_v2_sparse_classes_36k_train_017654 | 8,786 | permissive | [
{
"docstring": "Decoder class for Gated Transformer which is similar to the Encoder but also has + mask multi-head attention layer over target sequence + multi-head attention layer which uses the decoder representation as the query zand the encoder representation as the key and value Parameters ---------- outpu... | 2 | stack_v2_sparse_classes_30k_train_003381 | Implement the Python class `Decoder` described below.
Class description:
Implement the Decoder class.
Method signatures and docstrings:
- def __init__(self, output_dim: int, hid_dim: int, n_layers: int, n_heads: int, pf_dim: int, dropout: float, device: str, max_length=100): Decoder class for Gated Transformer which ... | Implement the Python class `Decoder` described below.
Class description:
Implement the Decoder class.
Method signatures and docstrings:
- def __init__(self, output_dim: int, hid_dim: int, n_layers: int, n_heads: int, pf_dim: int, dropout: float, device: str, max_length=100): Decoder class for Gated Transformer which ... | a6c870d4ed0788f15cfdf58c85ed5201dff60ee9 | <|skeleton|>
class Decoder:
def __init__(self, output_dim: int, hid_dim: int, n_layers: int, n_heads: int, pf_dim: int, dropout: float, device: str, max_length=100):
"""Decoder class for Gated Transformer which is similar to the Encoder but also has + mask multi-head attention layer over target sequence + ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Decoder:
def __init__(self, output_dim: int, hid_dim: int, n_layers: int, n_heads: int, pf_dim: int, dropout: float, device: str, max_length=100):
"""Decoder class for Gated Transformer which is similar to the Encoder but also has + mask multi-head attention layer over target sequence + multi-head att... | the_stack_v2_python_sparse | src/gated_transformers_nlp/utils/gated_transformers/decoder.py | mnguyen0226/gated_transformers_nlp | train | 2 | |
cce0f67b87846269b34157ed7dcfaa0853fd1fda | [
"self.logger = logger\nself.is_trained = False\nself.supported_formats = ['pkl', 'onnx', 'pmml']\nself.name = 'SVM'\nself.centroids = None\nself.sigma = None\nself.weights = None",
"sqrtDists = cdist(setDim1, setDim2, 'euclidean')\ngamma = 1 / self.sigma ** 2\nreturn np.exp(-gamma * np.power(sqrtDists, 2))",
"K... | <|body_start_0|>
self.logger = logger
self.is_trained = False
self.supported_formats = ['pkl', 'onnx', 'pmml']
self.name = 'SVM'
self.centroids = None
self.sigma = None
self.weights = None
<|end_body_0|>
<|body_start_1|>
sqrtDists = cdist(setDim1, setDim2... | This class contains the Semiparametric SVM model. | SVM_model | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SVM_model:
"""This class contains the Semiparametric SVM model."""
def __init__(self, logger):
"""Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
<|body_0|>
def kernelMatrix(self, setDim1, setDim2)... | stack_v2_sparse_classes_36k_train_017655 | 17,644 | permissive | [
{
"docstring": "Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.",
"name": "__init__",
"signature": "def __init__(self, logger)"
},
{
"docstring": "Computes a kernel matrix given two datasets. Parameters ---------- setDim1: nd... | 3 | null | Implement the Python class `SVM_model` described below.
Class description:
This class contains the Semiparametric SVM model.
Method signatures and docstrings:
- def __init__(self, logger): Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.
- def kern... | Implement the Python class `SVM_model` described below.
Class description:
This class contains the Semiparametric SVM model.
Method signatures and docstrings:
- def __init__(self, logger): Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance.
- def kern... | ccc0a7674a04ae0d00bedc38893b33184c5f68c6 | <|skeleton|>
class SVM_model:
"""This class contains the Semiparametric SVM model."""
def __init__(self, logger):
"""Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
<|body_0|>
def kernelMatrix(self, setDim1, setDim2)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SVM_model:
"""This class contains the Semiparametric SVM model."""
def __init__(self, logger):
"""Create a :class:`SVM_model` instance. Parameters ---------- logger: :class:`mylogging.Logger` Logging object instance."""
self.logger = logger
self.is_trained = False
self.sup... | the_stack_v2_python_sparse | MMLL/models/POM2/SVM/SVM.py | Musketeer-H2020/MMLL-Robust | train | 0 |
fa4721cc5fa36a2bcd723fd2cb3798967a496985 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\nreturn Calendar()",
"from .calendar_color import CalendarColor\nfrom .calendar_permission import CalendarPermission\nfrom .email_address import EmailAddress\nfrom .entity import Entity\nfrom .event import Event\nfrom .multi_value_legacy_exten... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
return Calendar()
<|end_body_0|>
<|body_start_1|>
from .calendar_color import CalendarColor
from .calendar_permission import CalendarPermission
from .email_address import EmailAddress
... | Calendar | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Calendar:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Calendar:
"""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: Calendar... | stack_v2_sparse_classes_36k_train_017656 | 10,062 | 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: Calendar",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(pars... | 3 | null | Implement the Python class `Calendar` described below.
Class description:
Implement the Calendar class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Calendar: Creates a new instance of the appropriate class based on discriminator value Args: parse_no... | Implement the Python class `Calendar` described below.
Class description:
Implement the Calendar class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Calendar: Creates a new instance of the appropriate class based on discriminator value Args: parse_no... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class Calendar:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Calendar:
"""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: Calendar... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Calendar:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Calendar:
"""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: Calendar"""
if... | the_stack_v2_python_sparse | msgraph/generated/models/calendar.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
7f0b936f620be94e04564f0ad3abbe602dfae87b | [
"super(LuongAttention, self).__init__()\nself._hidden_size = hidden_size\nself._dense_memory = tf.keras.layers.Dense(self._hidden_size, use_bias=False, kernel_initializer='glorot_uniform')\nself._dense_attention = tf.keras.layers.Dense(self._hidden_size, use_bias=False, kernel_initializer='glorot_uniform')",
"bat... | <|body_start_0|>
super(LuongAttention, self).__init__()
self._hidden_size = hidden_size
self._dense_memory = tf.keras.layers.Dense(self._hidden_size, use_bias=False, kernel_initializer='glorot_uniform')
self._dense_attention = tf.keras.layers.Dense(self._hidden_size, use_bias=False, kern... | Luong-style multiplicative attention mechanism. | LuongAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LuongAttention:
"""Luong-style multiplicative attention mechanism."""
def __init__(self, hidden_size):
"""Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation."""
<|body_0|>
def call(self, query, encoder_outputs, padding_mask):
... | stack_v2_sparse_classes_36k_train_017657 | 20,679 | no_license | [
{
"docstring": "Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation.",
"name": "__init__",
"signature": "def __init__(self, hidden_size)"
},
{
"docstring": "Computes the outputs of Luong-style attention mechanism. Args: query: float tensor of shape [batch_siz... | 2 | stack_v2_sparse_classes_30k_train_020286 | Implement the Python class `LuongAttention` described below.
Class description:
Luong-style multiplicative attention mechanism.
Method signatures and docstrings:
- def __init__(self, hidden_size): Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation.
- def call(self, query, encoder... | Implement the Python class `LuongAttention` described below.
Class description:
Luong-style multiplicative attention mechanism.
Method signatures and docstrings:
- def __init__(self, hidden_size): Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation.
- def call(self, query, encoder... | 63cd17dd38234d47d5d992930d8136e2c30f5de7 | <|skeleton|>
class LuongAttention:
"""Luong-style multiplicative attention mechanism."""
def __init__(self, hidden_size):
"""Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation."""
<|body_0|>
def call(self, query, encoder_outputs, padding_mask):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LuongAttention:
"""Luong-style multiplicative attention mechanism."""
def __init__(self, hidden_size):
"""Constructor. Args: hidden_size: int scalar, the hidden size of continuous representation."""
super(LuongAttention, self).__init__()
self._hidden_size = hidden_size
sel... | the_stack_v2_python_sparse | model.py | chao-ji/tf-seq2seq | train | 3 |
22d154c881092876501f6f849f1ef3f34d4871a8 | [
"self.raw_text = raw_text\nself.keyness = pd.DataFrame(None)\ncv = CountVectorizer(max_features=max_features)\nself.wfm = cv.fit_transform(self.raw_text)\nself.vocab = np.array(cv.get_feature_names())\nself.rates = np.asarray(1000 * self.wfm / np.sum(self.wfm, axis=1))",
"a_rates = np.asarray(self.rates[0])\nb_ra... | <|body_start_0|>
self.raw_text = raw_text
self.keyness = pd.DataFrame(None)
cv = CountVectorizer(max_features=max_features)
self.wfm = cv.fit_transform(self.raw_text)
self.vocab = np.array(cv.get_feature_names())
self.rates = np.asarray(1000 * self.wfm / np.sum(self.wfm, ... | Parent class for finding the distinctive words between two corpuses of text | DistinctiveWords | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DistinctiveWords:
"""Parent class for finding the distinctive words between two corpuses of text"""
def __init__(self, raw_text, max_features=10000):
""":param raw_text: A 2 element list with each corpus as a string occupying 1 element :param max_features: The maximum number of featu... | stack_v2_sparse_classes_36k_train_017658 | 8,319 | permissive | [
{
"docstring": ":param raw_text: A 2 element list with each corpus as a string occupying 1 element :param max_features: The maximum number of features to analyse",
"name": "__init__",
"signature": "def __init__(self, raw_text, max_features=10000)"
},
{
"docstring": "Returns a dataframe of the wo... | 4 | stack_v2_sparse_classes_30k_train_020432 | Implement the Python class `DistinctiveWords` described below.
Class description:
Parent class for finding the distinctive words between two corpuses of text
Method signatures and docstrings:
- def __init__(self, raw_text, max_features=10000): :param raw_text: A 2 element list with each corpus as a string occupying 1... | Implement the Python class `DistinctiveWords` described below.
Class description:
Parent class for finding the distinctive words between two corpuses of text
Method signatures and docstrings:
- def __init__(self, raw_text, max_features=10000): :param raw_text: A 2 element list with each corpus as a string occupying 1... | b810c6e1a93a2ecaa9d6351449239d0a1833f971 | <|skeleton|>
class DistinctiveWords:
"""Parent class for finding the distinctive words between two corpuses of text"""
def __init__(self, raw_text, max_features=10000):
""":param raw_text: A 2 element list with each corpus as a string occupying 1 element :param max_features: The maximum number of featu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DistinctiveWords:
"""Parent class for finding the distinctive words between two corpuses of text"""
def __init__(self, raw_text, max_features=10000):
""":param raw_text: A 2 element list with each corpus as a string occupying 1 element :param max_features: The maximum number of features to analys... | the_stack_v2_python_sparse | usherwood_ds/nlp/distinctive_words.py | Usherwood/usherwood_ds | train | 2 |
63e6cd5ca7a04228a1430aa16b9982f98bd82e5e | [
"self.__screen = screen\nself.__selectedDisks = selectedDisks\nself.__partitioner = partitioner\ndisks = ','.join([temp.name for temp in self.__selectedDisks])\npvs = self.__partitioner.getDelPvs()\nvgs = self.__partitioner.getDelVgs()\nself.__msg = TextboxReflowed(60, ARE_YOU_SURE_YOU_WANTO_TO.localize() % (disks,... | <|body_start_0|>
self.__screen = screen
self.__selectedDisks = selectedDisks
self.__partitioner = partitioner
disks = ','.join([temp.name for temp in self.__selectedDisks])
pvs = self.__partitioner.getDelPvs()
vgs = self.__partitioner.getDelVgs()
self.__msg = Text... | Confirm the last option | Confirmation | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Confirmation:
"""Confirm the last option"""
def __init__(self, screen, selectedDisks, partitioner):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self):
"""Draws the screen @rtype: boolean @returns: sucess stat... | stack_v2_sparse_classes_36k_train_017659 | 1,508 | no_license | [
{
"docstring": "Constructor @type screen: SnackScreen @param screen: SnackScreen instance",
"name": "__init__",
"signature": "def __init__(self, screen, selectedDisks, partitioner)"
},
{
"docstring": "Draws the screen @rtype: boolean @returns: sucess status",
"name": "run",
"signature": ... | 2 | stack_v2_sparse_classes_30k_train_016159 | Implement the Python class `Confirmation` described below.
Class description:
Confirm the last option
Method signatures and docstrings:
- def __init__(self, screen, selectedDisks, partitioner): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self): Draws the screen @rtype: boolean ... | Implement the Python class `Confirmation` described below.
Class description:
Confirm the last option
Method signatures and docstrings:
- def __init__(self, screen, selectedDisks, partitioner): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def run(self): Draws the screen @rtype: boolean ... | 1c738fd5e6ee3f8fd4f47acf2207038f20868212 | <|skeleton|>
class Confirmation:
"""Confirm the last option"""
def __init__(self, screen, selectedDisks, partitioner):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def run(self):
"""Draws the screen @rtype: boolean @returns: sucess stat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Confirmation:
"""Confirm the last option"""
def __init__(self, screen, selectedDisks, partitioner):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
self.__screen = screen
self.__selectedDisks = selectedDisks
self.__partitioner = partitioner
... | the_stack_v2_python_sparse | zfrobisher-installer/src/viewer/newt/confirmation.py | fedosu85nce/work | train | 2 |
e75ead4ba0a43d26c83292025beaabcefea02dd7 | [
"def helper(root):\n if root:\n result.append(str(root.val))\n helper(root.left)\n helper(root.right)\n else:\n result.append('#')\nresult = []\nhelper(root)\nreturn result",
"def helper():\n c = next(arr)\n if c == '#':\n return None\n newNode = TreeNode(int(c))\... | <|body_start_0|>
def helper(root):
if root:
result.append(str(root.val))
helper(root.left)
helper(root.right)
else:
result.append('#')
result = []
helper(root)
return result
<|end_body_0|>
<|body_sta... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_36k_train_017660 | 1,225 | 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_010925 | 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:... | 6d361cad2821248350f1d8432fdfef86895ca281 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
def helper(root):
if root:
result.append(str(root.val))
helper(root.left)
helper(root.right)
else:
... | the_stack_v2_python_sparse | Design/serializeBST.py | tr1503/LeetCode | train | 0 | |
902a508bb50e33743acd449ec72818141f49bfba | [
"s_len, p_len = (len(string), len(pattern))\ns_idx = p_idx = 0\nstar_idx = star_temp_idx = -1\nwhile s_idx < s_len:\n if p_idx < p_len and pattern[p_idx] in ['?', string[s_idx]]:\n s_idx += 1\n p_idx += 1\n elif p_idx < p_len and pattern[p_idx] == '*':\n star_idx = p_idx\n star_tem... | <|body_start_0|>
s_len, p_len = (len(string), len(pattern))
s_idx = p_idx = 0
star_idx = star_temp_idx = -1
while s_idx < s_len:
if p_idx < p_len and pattern[p_idx] in ['?', string[s_idx]]:
s_idx += 1
p_idx += 1
elif p_idx < p_len a... | PatternMatcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PatternMatcher:
def is_match(self, string: str, pattern: str) -> bool:
"""Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:"""
<|body_0|>
def is_match_(self, string: str, pattern: str) -> bool:
"""Approach: D... | stack_v2_sparse_classes_36k_train_017661 | 2,232 | no_license | [
{
"docstring": "Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:",
"name": "is_match",
"signature": "def is_match(self, string: str, pattern: str) -> bool"
},
{
"docstring": "Approach: Dynamic Programming Time Complexity: O(SP) Space Co... | 2 | null | Implement the Python class `PatternMatcher` described below.
Class description:
Implement the PatternMatcher class.
Method signatures and docstrings:
- def is_match(self, string: str, pattern: str) -> bool: Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:
- ... | Implement the Python class `PatternMatcher` described below.
Class description:
Implement the PatternMatcher class.
Method signatures and docstrings:
- def is_match(self, string: str, pattern: str) -> bool: Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:
- ... | 65cc78b5afa0db064f9fe8f06597e3e120f7363d | <|skeleton|>
class PatternMatcher:
def is_match(self, string: str, pattern: str) -> bool:
"""Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:"""
<|body_0|>
def is_match_(self, string: str, pattern: str) -> bool:
"""Approach: D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PatternMatcher:
def is_match(self, string: str, pattern: str) -> bool:
"""Approach: Back tracking Time Complexity: O(N) Space Complexity: O(1) :param string: :param pattern: :return:"""
s_len, p_len = (len(string), len(pattern))
s_idx = p_idx = 0
star_idx = star_temp_idx = -1
... | the_stack_v2_python_sparse | math_and_srings/wildcard_matching.py | Shiv2157k/leet_code | train | 1 | |
a9a573e919d561e51833e3167cab7b5ca9e4c5b1 | [
"url = urlparse(file_or_url)\nif url.scheme:\n path = Path(url.path)\n self.url = file_or_url\n self.url_parsed = url\n self.path = None\n self.is_url = True\nelse:\n path = Path(file_or_url)\n self.url = None\n self.path = path\n self.is_url = False\nif self.is_url and cache_dir is not N... | <|body_start_0|>
url = urlparse(file_or_url)
if url.scheme:
path = Path(url.path)
self.url = file_or_url
self.url_parsed = url
self.path = None
self.is_url = True
else:
path = Path(file_or_url)
self.url = None
... | Loads data from an URL, optionally caching it. | CachedFile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CachedFile:
"""Loads data from an URL, optionally caching it."""
def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None):
"""Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load cache_dir: if present, a directory where to cache the file.... | stack_v2_sparse_classes_36k_train_017662 | 14,435 | no_license | [
{
"docstring": "Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load cache_dir: if present, a directory where to cache the file. If absent, don’t cache.",
"name": "__init__",
"signature": "def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_007902 | Implement the Python class `CachedFile` described below.
Class description:
Loads data from an URL, optionally caching it.
Method signatures and docstrings:
- def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None): Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load ca... | Implement the Python class `CachedFile` described below.
Class description:
Loads data from an URL, optionally caching it.
Method signatures and docstrings:
- def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None): Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load ca... | 118403f233e2ddd1f91da78dc73b45f19aa6e232 | <|skeleton|>
class CachedFile:
"""Loads data from an URL, optionally caching it."""
def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None):
"""Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load cache_dir: if present, a directory where to cache the file.... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CachedFile:
"""Loads data from an URL, optionally caching it."""
def __init__(self, file_or_url: str, cache_dir: Optional[Path]=None):
"""Creates a cacheing file loader. Args: file_or_url: the url or path to the file to load cache_dir: if present, a directory where to cache the file. If absent, d... | the_stack_v2_python_sparse | src/macrogen/config.py | faustedition/faust-macrogen | train | 0 |
0ab3d46aa9155999d1bccc5fb25b5041d5be5896 | [
"super().setUpClass(application_name=application_name)\ncls.application = application_name\ncls.services = ['mysqlrouter']\ncls.conf_file = '/var/lib/mysql/{}-mysql-router/mysqlrouter.conf'.format(application_name)",
"set_default = {'ttl': '.5'}\nset_alternate = {'ttl': '7'}\nlogging.info('Setting TTL ...')\nself... | <|body_start_0|>
super().setUpClass(application_name=application_name)
cls.application = application_name
cls.services = ['mysqlrouter']
cls.conf_file = '/var/lib/mysql/{}-mysql-router/mysqlrouter.conf'.format(application_name)
<|end_body_0|>
<|body_start_1|>
set_default = {'ttl... | MySQL Router Tests. | MySQLRouterTests | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MySQLRouterTests:
"""MySQL Router Tests."""
def setUpClass(cls, application_name='keystone-mysql-router'):
"""Run class setup for running mysql-router tests."""
<|body_0|>
def test_910_restart_on_config_change(self):
"""Checking restart happens on config change. ... | stack_v2_sparse_classes_36k_train_017663 | 45,009 | permissive | [
{
"docstring": "Run class setup for running mysql-router tests.",
"name": "setUpClass",
"signature": "def setUpClass(cls, application_name='keystone-mysql-router')"
},
{
"docstring": "Checking restart happens on config change. Change max connections and assert that change propagates to the corre... | 2 | null | Implement the Python class `MySQLRouterTests` described below.
Class description:
MySQL Router Tests.
Method signatures and docstrings:
- def setUpClass(cls, application_name='keystone-mysql-router'): Run class setup for running mysql-router tests.
- def test_910_restart_on_config_change(self): Checking restart happe... | Implement the Python class `MySQLRouterTests` described below.
Class description:
MySQL Router Tests.
Method signatures and docstrings:
- def setUpClass(cls, application_name='keystone-mysql-router'): Run class setup for running mysql-router tests.
- def test_910_restart_on_config_change(self): Checking restart happe... | 3b17ad9d97c57b6e62797d4e3333e4b83e43a447 | <|skeleton|>
class MySQLRouterTests:
"""MySQL Router Tests."""
def setUpClass(cls, application_name='keystone-mysql-router'):
"""Run class setup for running mysql-router tests."""
<|body_0|>
def test_910_restart_on_config_change(self):
"""Checking restart happens on config change. ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MySQLRouterTests:
"""MySQL Router Tests."""
def setUpClass(cls, application_name='keystone-mysql-router'):
"""Run class setup for running mysql-router tests."""
super().setUpClass(application_name=application_name)
cls.application = application_name
cls.services = ['mysqlr... | the_stack_v2_python_sparse | zaza/openstack/charm_tests/mysql/tests.py | openstack-charmers/zaza-openstack-tests | train | 7 |
622c20658f5afefc7a9176e2641575443538c387 | [
"super().__init__(host, password)\nself._suffix = '/ # '\nself._aqara_property = True",
"self.write(b'\\n')\nself.read_until(b'login: ', timeout=1)\npassword = self._password\nif self._password is None:\n password = '\\n'\ncommand = 'root'\nself.write(command.encode() + b'\\n')\nif password:\n self.read_unt... | <|body_start_0|>
super().__init__(host, password)
self._suffix = '/ # '
self._aqara_property = True
<|end_body_0|>
<|body_start_1|>
self.write(b'\n')
self.read_until(b'login: ', timeout=1)
password = self._password
if self._password is None:
password ... | Telnet Shell | TelnetShellG3 | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TelnetShellG3:
"""Telnet Shell"""
def __init__(self, host: str, password=None):
"""init"""
<|body_0|>
def login(self):
"""login function"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super().__init__(host, password)
self._suffix = '/ #... | stack_v2_sparse_classes_36k_train_017664 | 4,540 | no_license | [
{
"docstring": "init",
"name": "__init__",
"signature": "def __init__(self, host: str, password=None)"
},
{
"docstring": "login function",
"name": "login",
"signature": "def login(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_017673 | Implement the Python class `TelnetShellG3` described below.
Class description:
Telnet Shell
Method signatures and docstrings:
- def __init__(self, host: str, password=None): init
- def login(self): login function | Implement the Python class `TelnetShellG3` described below.
Class description:
Telnet Shell
Method signatures and docstrings:
- def __init__(self, host: str, password=None): init
- def login(self): login function
<|skeleton|>
class TelnetShellG3:
"""Telnet Shell"""
def __init__(self, host: str, password=Non... | 3988d204908478996fffa433faffa9ea20f42562 | <|skeleton|>
class TelnetShellG3:
"""Telnet Shell"""
def __init__(self, host: str, password=None):
"""init"""
<|body_0|>
def login(self):
"""login function"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TelnetShellG3:
"""Telnet Shell"""
def __init__(self, host: str, password=None):
"""init"""
super().__init__(host, password)
self._suffix = '/ # '
self._aqara_property = True
def login(self):
"""login function"""
self.write(b'\n')
self.read_unti... | the_stack_v2_python_sparse | certificates/custom_components/aqara_camera/core/shell.py | hellad/hass-config | train | 3 |
619a5db0ba63b8cfe232c97cf010a50fa10f8cbe | [
"ht = hash_table.HashTable()\nht.put(1, 's')\nactual = ht.get(1)\nexpected = 's'\nself.assertEqual(actual, expected)",
"ht = hash_table.HashTable()\nht.put(1, 's')\nactual = ht.get(10)\nexpected = None\nself.assertEqual(actual, expected)",
"ht = hash_table.HashTable()\nactual = ht.get(1)\nexpected = None\nself.... | <|body_start_0|>
ht = hash_table.HashTable()
ht.put(1, 's')
actual = ht.get(1)
expected = 's'
self.assertEqual(actual, expected)
<|end_body_0|>
<|body_start_1|>
ht = hash_table.HashTable()
ht.put(1, 's')
actual = ht.get(10)
expected = None
... | Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class. | TestHashTable | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestHashTable:
"""Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class."""
def test_hash_table_1(self):
"""Puts one k, v pait and checks to see that get returns v"""
<|body_0|>
def test_hash_table_2(self):
"... | stack_v2_sparse_classes_36k_train_017665 | 2,047 | no_license | [
{
"docstring": "Puts one k, v pait and checks to see that get returns v",
"name": "test_hash_table_1",
"signature": "def test_hash_table_1(self)"
},
{
"docstring": "Puts then gets a different key.",
"name": "test_hash_table_2",
"signature": "def test_hash_table_2(self)"
},
{
"doc... | 6 | stack_v2_sparse_classes_30k_train_011014 | Implement the Python class `TestHashTable` described below.
Class description:
Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class.
Method signatures and docstrings:
- def test_hash_table_1(self): Puts one k, v pait and checks to see that get returns v
- def te... | Implement the Python class `TestHashTable` described below.
Class description:
Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class.
Method signatures and docstrings:
- def test_hash_table_1(self): Puts one k, v pait and checks to see that get returns v
- def te... | 955f26b27667a075f8d156e645527b162b87a0b0 | <|skeleton|>
class TestHashTable:
"""Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class."""
def test_hash_table_1(self):
"""Puts one k, v pait and checks to see that get returns v"""
<|body_0|>
def test_hash_table_2(self):
"... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestHashTable:
"""Unit test class for basic hash table functionality. Tests get, put, and remove methods in a hash_table class."""
def test_hash_table_1(self):
"""Puts one k, v pait and checks to see that get returns v"""
ht = hash_table.HashTable()
ht.put(1, 's')
actual =... | the_stack_v2_python_sparse | test_hash_table.py | ctimaeus/practice | train | 0 |
78d6cb5464c50b3c76d1bd0237c3e3b30d3d26f5 | [
"if rules is None:\n settings = current.deployment_settings\n self.source = os.path.join(current.request.folder, 'modules', 'templates', 'RLP', settings.get_custom('poolrules'))\nelse:\n self.source = str(rules)\nself._rules = None",
"if self._rules is None:\n try:\n tree = etree.parse(self.sou... | <|body_start_0|>
if rules is None:
settings = current.deployment_settings
self.source = os.path.join(current.request.folder, 'modules', 'templates', 'RLP', settings.get_custom('poolrules'))
else:
self.source = str(rules)
self._rules = None
<|end_body_0|>
<|bo... | Helper object to represent pool assignment rules | PoolRules | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PoolRules:
"""Helper object to represent pool assignment rules"""
def __init__(self, rules=None):
"""Constructor Args: rules: the path to the rules file, using default path if omitted"""
<|body_0|>
def rules(self):
"""The root element of the pool assignment rules... | stack_v2_sparse_classes_36k_train_017666 | 6,109 | permissive | [
{
"docstring": "Constructor Args: rules: the path to the rules file, using default path if omitted",
"name": "__init__",
"signature": "def __init__(self, rules=None)"
},
{
"docstring": "The root element of the pool assignment rules - lazy-parses the rules XML file Returns: the root Element",
... | 6 | null | Implement the Python class `PoolRules` described below.
Class description:
Helper object to represent pool assignment rules
Method signatures and docstrings:
- def __init__(self, rules=None): Constructor Args: rules: the path to the rules file, using default path if omitted
- def rules(self): The root element of the ... | Implement the Python class `PoolRules` described below.
Class description:
Helper object to represent pool assignment rules
Method signatures and docstrings:
- def __init__(self, rules=None): Constructor Args: rules: the path to the rules file, using default path if omitted
- def rules(self): The root element of the ... | 7ec4b959d009daf26d5ca6ce91dd9c3c0bd978d6 | <|skeleton|>
class PoolRules:
"""Helper object to represent pool assignment rules"""
def __init__(self, rules=None):
"""Constructor Args: rules: the path to the rules file, using default path if omitted"""
<|body_0|>
def rules(self):
"""The root element of the pool assignment rules... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PoolRules:
"""Helper object to represent pool assignment rules"""
def __init__(self, rules=None):
"""Constructor Args: rules: the path to the rules file, using default path if omitted"""
if rules is None:
settings = current.deployment_settings
self.source = os.path... | the_stack_v2_python_sparse | modules/templates/RLP/poolrules.py | nursix/drkcm | train | 3 |
8e73fe7b8dd0aceaaa4c0739085c488d2649a286 | [
"new_car = Car(name=validated_data.get('name'), url=validated_data.get('url'), car_type=validated_data.get('car_type'))\nnew_car.save()\nreturn new_car",
"instance.name = validated_data.get('name', instance.name)\ninstance.url = validated_data.get('url', instance.url)\ninstance.car_type = validated_data.get('car_... | <|body_start_0|>
new_car = Car(name=validated_data.get('name'), url=validated_data.get('url'), car_type=validated_data.get('car_type'))
new_car.save()
return new_car
<|end_body_0|>
<|body_start_1|>
instance.name = validated_data.get('name', instance.name)
instance.url = validate... | CarSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CarSerializer:
def create(self, validated_data):
"""create and return new 'Car' instance"""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `Car` instance"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
new_ca... | stack_v2_sparse_classes_36k_train_017667 | 6,342 | no_license | [
{
"docstring": "create and return new 'Car' instance",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update and return an existing `Car` instance",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010640 | Implement the Python class `CarSerializer` described below.
Class description:
Implement the CarSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create and return new 'Car' instance
- def update(self, instance, validated_data): Update and return an existing `Car` instance | Implement the Python class `CarSerializer` described below.
Class description:
Implement the CarSerializer class.
Method signatures and docstrings:
- def create(self, validated_data): create and return new 'Car' instance
- def update(self, instance, validated_data): Update and return an existing `Car` instance
<|ske... | dba8d1fdb96889e41328e792816a4968cbeb1ed4 | <|skeleton|>
class CarSerializer:
def create(self, validated_data):
"""create and return new 'Car' instance"""
<|body_0|>
def update(self, instance, validated_data):
"""Update and return an existing `Car` instance"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CarSerializer:
def create(self, validated_data):
"""create and return new 'Car' instance"""
new_car = Car(name=validated_data.get('name'), url=validated_data.get('url'), car_type=validated_data.get('car_type'))
new_car.save()
return new_car
def update(self, instance, valid... | the_stack_v2_python_sparse | cars_web/cars_app/serializers.py | Ignisor/cars_scrapper | train | 0 | |
773807d27a30e542bed433a5aebb0f31ce7e9e22 | [
"if game.num_players() != 2:\n raise ValueError('Game {} does not have {} players.'.format(game, 2))\nassert game.get_type().dynamics == pyspiel.GameType.Dynamics.SEQUENTIAL, \"CFR requires sequential games. If you're trying to run it \" + 'on a simultaneous (or normal-form) game, please first transform it ' + '... | <|body_start_0|>
if game.num_players() != 2:
raise ValueError('Game {} does not have {} players.'.format(game, 2))
assert game.get_type().dynamics == pyspiel.GameType.Dynamics.SEQUENTIAL, "CFR requires sequential games. If you're trying to run it " + 'on a simultaneous (or normal-form) game,... | Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://poker.cs.ualberta.ca/publications/AAAI12-cfrbr.pdf). The algorithm computes an... | CFRBRSolver | [
"LicenseRef-scancode-generic-cla",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CFRBRSolver:
"""Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://poker.cs.ualberta.ca/publications/AAAI1... | stack_v2_sparse_classes_36k_train_017668 | 5,293 | permissive | [
{
"docstring": "Initializer. Args: game: The `pyspiel.Game` to run on. linear_averaging: Whether to use linear averaging, i.e. cumulative_policy[info_state][action] += ( iteration_number * reach_prob * action_prob) or not: cumulative_policy[info_state][action] += reach_prob * action_prob regret_matching_plus: W... | 3 | stack_v2_sparse_classes_30k_train_008024 | Implement the Python class `CFRBRSolver` described below.
Class description:
Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://... | Implement the Python class `CFRBRSolver` described below.
Class description:
Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://... | 6f3551fd990053cf2287b380fb9ad0b2a2607c18 | <|skeleton|>
class CFRBRSolver:
"""Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://poker.cs.ualberta.ca/publications/AAAI1... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CFRBRSolver:
"""Implements the Counterfactual Regret Minimization (CFR-BR) algorithm. This is Counterfactual Regret Minimization against Best Response, from Michael Johanson and al., 2012, Finding Optimal Abstract Strategies in Extensive-Form Games, https://poker.cs.ualberta.ca/publications/AAAI12-cfrbr.pdf).... | the_stack_v2_python_sparse | open_spiel/python/algorithms/cfr_br.py | sarahperrin/open_spiel | train | 3 |
f67ca6bb1bdc7852837abf341caa7b029eb7a35f | [
"if nums == []:\n return 0\n'This problems needs to considers the following dynamical programming approach\\n to solve. Otherwise still exceed time limit.\\n ref: http://bookshadow.com/weblog/2017/01/22/leetcode-target-sum/\\n This turns to time complexity O(n*l) \\n '\ndp = ... | <|body_start_0|>
if nums == []:
return 0
'This problems needs to considers the following dynamical programming approach\n to solve. Otherwise still exceed time limit.\n ref: http://bookshadow.com/weblog/2017/01/22/leetcode-target-sum/\n This turns to time comple... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findTargetSumWays(self, nums, S):
""":type nums: List[int] :type S: int :rtype: int"""
<|body_0|>
def DFS(self, depth, nums, sum, S):
"""this method regards the problem as a binary tree, "+" like left and "-" like right. The time complexity is O(2**n). ... | stack_v2_sparse_classes_36k_train_017669 | 2,891 | no_license | [
{
"docstring": ":type nums: List[int] :type S: int :rtype: int",
"name": "findTargetSumWays",
"signature": "def findTargetSumWays(self, nums, S)"
},
{
"docstring": "this method regards the problem as a binary tree, \"+\" like left and \"-\" like right. The time complexity is O(2**n). But this me... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTargetSumWays(self, nums, S): :type nums: List[int] :type S: int :rtype: int
- def DFS(self, depth, nums, sum, S): this method regards the problem as a binary tree, "+" l... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findTargetSumWays(self, nums, S): :type nums: List[int] :type S: int :rtype: int
- def DFS(self, depth, nums, sum, S): this method regards the problem as a binary tree, "+" l... | 54d777e11b91c5debe49c1aef723234c66a5d2cc | <|skeleton|>
class Solution:
def findTargetSumWays(self, nums, S):
""":type nums: List[int] :type S: int :rtype: int"""
<|body_0|>
def DFS(self, depth, nums, sum, S):
"""this method regards the problem as a binary tree, "+" like left and "-" like right. The time complexity is O(2**n). ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findTargetSumWays(self, nums, S):
""":type nums: List[int] :type S: int :rtype: int"""
if nums == []:
return 0
'This problems needs to considers the following dynamical programming approach\n to solve. Otherwise still exceed time limit.\n r... | the_stack_v2_python_sparse | leetcode_solution/dynamical programming/#494.Target_Sum.py | HsiangHung/Code-Challenges | train | 0 | |
9a5dbc727fc9964b0caf645d871ee4f4fb224824 | [
"self.module_name = module_name\nself.mail_templates = mail_templates\nsuper(Logic, self).__init__(model=model, base_model=base_model, scope_logic=scope_logic)",
"current_status = record.status\nif current_status == 'pre-accepted':\n new_status = 'accepted'\nelif current_status == 'pre-rejected':\n new_stat... | <|body_start_0|>
self.module_name = module_name
self.mail_templates = mail_templates
super(Logic, self).__init__(model=model, base_model=base_model, scope_logic=scope_logic)
<|end_body_0|>
<|body_start_1|>
current_status = record.status
if current_status == 'pre-accepted':
... | Logic class for OrgAppRecord. | Logic | [
"Apache-2.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
<|body_0|>
def processRecord(self, record):
... | stack_v2_sparse_classes_36k_train_017670 | 2,779 | permissive | [
{
"docstring": "Defines the name, key_name and model for this entity.",
"name": "__init__",
"signature": "def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None)"
},
{
"docstring": "Processes an OrgAppRecord that is in the pre-acc... | 3 | stack_v2_sparse_classes_30k_train_021025 | Implement the Python class `Logic` described below.
Class description:
Logic class for OrgAppRecord.
Method signatures and docstrings:
- def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None): Defines the name, key_name and model for this entity.
- de... | Implement the Python class `Logic` described below.
Class description:
Logic class for OrgAppRecord.
Method signatures and docstrings:
- def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None): Defines the name, key_name and model for this entity.
- de... | 9bd45c168f8ddb5c0e6c04eacdcaeafd61908be7 | <|skeleton|>
class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
<|body_0|>
def processRecord(self, record):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Logic:
"""Logic class for OrgAppRecord."""
def __init__(self, model=org_app_model, base_model=SurveyRecord, scope_logic=None, module_name=None, mail_templates=None):
"""Defines the name, key_name and model for this entity."""
self.module_name = module_name
self.mail_templates = ma... | the_stack_v2_python_sparse | app/soc/logic/models/org_app_record.py | pombredanne/Melange-1 | train | 0 |
755255c69d0b3ad69661f23f52c4a13708d5ef82 | [
"self.dim = dim\nif length_str.endswith('%'):\n self.relunits = True\n self.rellength = 0.01 * float(length_str[:-1])\n self.length = None\nelif length_str.endswith('px'):\n self.relunits = False\n self.rellength = None\n self.length = int(length_str[:-2])\nelse:\n raise TypeError(\"Expected '<... | <|body_start_0|>
self.dim = dim
if length_str.endswith('%'):
self.relunits = True
self.rellength = 0.01 * float(length_str[:-1])
self.length = None
elif length_str.endswith('px'):
self.relunits = False
self.rellength = None
... | Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count. | Length | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Length:
"""Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count."""
def __init__(self, length_str, dim):
"""Builds a Length object. Args: length_str: a string of the form '<float>%' or '<int>px' describing a relative or absol... | stack_v2_sparse_classes_36k_train_017671 | 21,423 | permissive | [
{
"docstring": "Builds a Length object. Args: length_str: a string of the form '<float>%' or '<int>px' describing a relative or absolute length, respectively dim: the dimension to measure length along",
"name": "__init__",
"signature": "def __init__(self, length_str, dim)"
},
{
"docstring": "Ret... | 2 | stack_v2_sparse_classes_30k_train_012449 | Implement the Python class `Length` described below.
Class description:
Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count.
Method signatures and docstrings:
- def __init__(self, length_str, dim): Builds a Length object. Args: length_str: a string of the fo... | Implement the Python class `Length` described below.
Class description:
Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count.
Method signatures and docstrings:
- def __init__(self, length_str, dim): Builds a Length object. Args: length_str: a string of the fo... | f2bab5c5c767584dd33bc9a689370db532ba899a | <|skeleton|>
class Length:
"""Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count."""
def __init__(self, length_str, dim):
"""Builds a Length object. Args: length_str: a string of the form '<float>%' or '<int>px' describing a relative or absol... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Length:
"""Represents a length along a specified dimension of an image as a relative percentage or an absolute pixel count."""
def __init__(self, length_str, dim):
"""Builds a Length object. Args: length_str: a string of the form '<float>%' or '<int>px' describing a relative or absolute length, r... | the_stack_v2_python_sparse | eta/eta/core/image.py | grohup/eecs504 | train | 0 |
52f55ee2fbace2001aa5d70c5c4b027a191aa9f5 | [
"self.surface_id = self._none_if_emtpy_otherwise_value(surface_id)\nself.channel_id = self._none_if_emtpy_otherwise_value(channel_id)\nself.text = self._none_if_emtpy_otherwise_value(text)",
"if string is None:\n return None\nelif isinstance(string, str):\n return None if not (string and string.strip()) els... | <|body_start_0|>
self.surface_id = self._none_if_emtpy_otherwise_value(surface_id)
self.channel_id = self._none_if_emtpy_otherwise_value(channel_id)
self.text = self._none_if_emtpy_otherwise_value(text)
<|end_body_0|>
<|body_start_1|>
if string is None:
return None
e... | Represents a message that can be sent through an interaction surface | SurfaceMessage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SurfaceMessage:
"""Represents a message that can be sent through an interaction surface"""
def __init__(self, surface_id: Optional[str], channel_id: Optional[str], text: Optional[str]) -> None:
"""Creates a new message :param surface_id: the surface name originating the message :type... | stack_v2_sparse_classes_36k_train_017672 | 1,894 | permissive | [
{
"docstring": "Creates a new message :param surface_id: the surface name originating the message :type surface_id: str :param channel_id: the channel_id where to send the message, if any :type channel_id: str :param text: the text to send :type text: str",
"name": "__init__",
"signature": "def __init__... | 2 | stack_v2_sparse_classes_30k_train_003148 | Implement the Python class `SurfaceMessage` described below.
Class description:
Represents a message that can be sent through an interaction surface
Method signatures and docstrings:
- def __init__(self, surface_id: Optional[str], channel_id: Optional[str], text: Optional[str]) -> None: Creates a new message :param s... | Implement the Python class `SurfaceMessage` described below.
Class description:
Represents a message that can be sent through an interaction surface
Method signatures and docstrings:
- def __init__(self, surface_id: Optional[str], channel_id: Optional[str], text: Optional[str]) -> None: Creates a new message :param s... | 1dac7d312fce78127cac45f17da526c6a66be36a | <|skeleton|>
class SurfaceMessage:
"""Represents a message that can be sent through an interaction surface"""
def __init__(self, surface_id: Optional[str], channel_id: Optional[str], text: Optional[str]) -> None:
"""Creates a new message :param surface_id: the surface name originating the message :type... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SurfaceMessage:
"""Represents a message that can be sent through an interaction surface"""
def __init__(self, surface_id: Optional[str], channel_id: Optional[str], text: Optional[str]) -> None:
"""Creates a new message :param surface_id: the surface name originating the message :type surface_id: ... | the_stack_v2_python_sparse | bot/src/yellowbot/surfaces/surfacemessage.py | rainbowbreeze/yellowbutler | train | 0 |
fbcbbd9b115f242b7c156c4a03939329de36dc2e | [
"super(MultiDiceLoss, self).__init__()\nself.num_class = num_class\nassert len(weights) == self.num_class, 'the length of weight must equal to num_class'\nself.weights = torch.FloatTensor(weights)\nself.weights = self.weights / self.weights.sum()\nself.weights = self.weights.cuda()",
"dice_losses = []\nweight_dic... | <|body_start_0|>
super(MultiDiceLoss, self).__init__()
self.num_class = num_class
assert len(weights) == self.num_class, 'the length of weight must equal to num_class'
self.weights = torch.FloatTensor(weights)
self.weights = self.weights / self.weights.sum()
self.weights ... | Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss | MultiDiceLoss | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiDiceLoss:
"""Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss"""
def __init__(self, weights, num_class):
""":param weights: weight for each class dice loss :param num_class: the number of class"""
... | stack_v2_sparse_classes_36k_train_017673 | 3,068 | no_license | [
{
"docstring": ":param weights: weight for each class dice loss :param num_class: the number of class",
"name": "__init__",
"signature": "def __init__(self, weights, num_class)"
},
{
"docstring": ":param input_tensor: network output tensor :param target: ground truth :return: weighted dice loss ... | 2 | stack_v2_sparse_classes_30k_train_021661 | Implement the Python class `MultiDiceLoss` described below.
Class description:
Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss
Method signatures and docstrings:
- def __init__(self, weights, num_class): :param weights: weight for each ... | Implement the Python class `MultiDiceLoss` described below.
Class description:
Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss
Method signatures and docstrings:
- def __init__(self, weights, num_class): :param weights: weight for each ... | 23e3b76db48dd14ef4da6f51c253e9ea583a3e17 | <|skeleton|>
class MultiDiceLoss:
"""Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss"""
def __init__(self, weights, num_class):
""":param weights: weight for each class dice loss :param num_class: the number of class"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiDiceLoss:
"""Dice Loss for egmentation(include binary segmentation and multi label segmentation) This class is generalization of BinaryDiceLoss"""
def __init__(self, weights, num_class):
""":param weights: weight for each class dice loss :param num_class: the number of class"""
super... | the_stack_v2_python_sparse | loss/MultiDiceLoss.py | simonsf/RTP-Net | train | 31 |
b2fbdc572174b4974b0cc4bfee1c8f6203e9fe5d | [
"IPAddress.__init__(self)\nif not self.IsValid(address):\n raise errors.IPAddressError('IPv4 Address %s invalid' % address)\nself.address = address",
"address_int = 0\nparts = address.split('.')\nassert len(parts) == 4\nfor part in parts:\n address_int = address_int << 8 | int(part)\nreturn address_int"
] | <|body_start_0|>
IPAddress.__init__(self)
if not self.IsValid(address):
raise errors.IPAddressError('IPv4 Address %s invalid' % address)
self.address = address
<|end_body_0|>
<|body_start_1|>
address_int = 0
parts = address.split('.')
assert len(parts) == 4
... | IPv4 address class. | IP4Address | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IP4Address:
"""IPv4 address class."""
def __init__(self, address):
"""Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid"""
<|body_0|>
def _GetIPIntFromString(address):
"""Get integer valu... | stack_v2_sparse_classes_36k_train_017674 | 20,645 | permissive | [
{
"docstring": "Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid",
"name": "__init__",
"signature": "def __init__(self, address)"
},
{
"docstring": "Get integer value of IPv4 address. @type address: str @param address: ... | 2 | null | Implement the Python class `IP4Address` described below.
Class description:
IPv4 address class.
Method signatures and docstrings:
- def __init__(self, address): Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid
- def _GetIPIntFromString(addre... | Implement the Python class `IP4Address` described below.
Class description:
IPv4 address class.
Method signatures and docstrings:
- def __init__(self, address): Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid
- def _GetIPIntFromString(addre... | 456ea285a7583183c2c8e5bcffe9006ec8a9d658 | <|skeleton|>
class IP4Address:
"""IPv4 address class."""
def __init__(self, address):
"""Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid"""
<|body_0|>
def _GetIPIntFromString(address):
"""Get integer valu... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IP4Address:
"""IPv4 address class."""
def __init__(self, address):
"""Constructor for IPv4 address. @type address: str @param address: IP address @raises errors.IPAddressError: if address invalid"""
IPAddress.__init__(self)
if not self.IsValid(address):
raise errors.IP... | the_stack_v2_python_sparse | lib/netutils.py | ganeti/ganeti | train | 465 |
80c2eaddcd0ec49f6763834b695024faf6c9aa13 | [
"self.create_review_group(name='devgroup')\nself.create_review_group(name='emptygroup')\nself.create_review_group(name='newgroup')\nself.create_review_group(name='privgroup')\nresponse = self.client.get('/groups/')\nself.assertEqual(response.status_code, 200)\ndatagrid = self._get_context_var(response, 'datagrid')\... | <|body_start_0|>
self.create_review_group(name='devgroup')
self.create_review_group(name='emptygroup')
self.create_review_group(name='newgroup')
self.create_review_group(name='privgroup')
response = self.client.get('/groups/')
self.assertEqual(response.status_code, 200)
... | Unit tests for the group_list view. | GroupListViewTests | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GroupListViewTests:
"""Unit tests for the group_list view."""
def test_with_access(self):
"""Testing group_list view"""
<|body_0|>
def test_as_anonymous_and_redirect(self):
"""Testing group_list view with site-wide login enabled"""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_36k_train_017675 | 49,494 | permissive | [
{
"docstring": "Testing group_list view",
"name": "test_with_access",
"signature": "def test_with_access(self)"
},
{
"docstring": "Testing group_list view with site-wide login enabled",
"name": "test_as_anonymous_and_redirect",
"signature": "def test_as_anonymous_and_redirect(self)"
}
... | 2 | null | Implement the Python class `GroupListViewTests` described below.
Class description:
Unit tests for the group_list view.
Method signatures and docstrings:
- def test_with_access(self): Testing group_list view
- def test_as_anonymous_and_redirect(self): Testing group_list view with site-wide login enabled | Implement the Python class `GroupListViewTests` described below.
Class description:
Unit tests for the group_list view.
Method signatures and docstrings:
- def test_with_access(self): Testing group_list view
- def test_as_anonymous_and_redirect(self): Testing group_list view with site-wide login enabled
<|skeleton|>... | 563c1e8d4dfd860f372281dc0f380a0809f6ae15 | <|skeleton|>
class GroupListViewTests:
"""Unit tests for the group_list view."""
def test_with_access(self):
"""Testing group_list view"""
<|body_0|>
def test_as_anonymous_and_redirect(self):
"""Testing group_list view with site-wide login enabled"""
<|body_1|>
<|end_skele... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GroupListViewTests:
"""Unit tests for the group_list view."""
def test_with_access(self):
"""Testing group_list view"""
self.create_review_group(name='devgroup')
self.create_review_group(name='emptygroup')
self.create_review_group(name='newgroup')
self.create_revie... | the_stack_v2_python_sparse | reviewboard/datagrids/tests.py | LloydFinch/reviewboard | train | 2 |
0b85ce45981cc201a1ac040b1d665b07c600d32d | [
"self.end_game = False\nself.username = username\nself.screen = screen\nself.is_left = is_left\nself.solo = solo\nself.screenWidth, self.screenHeight = pygame.display.get_surface().get_size()\nself.game_window_width = self.screenWidth if self.solo else self.screenWidth / 2\nself.game_window_height = self.screenHeig... | <|body_start_0|>
self.end_game = False
self.username = username
self.screen = screen
self.is_left = is_left
self.solo = solo
self.screenWidth, self.screenHeight = pygame.display.get_surface().get_size()
self.game_window_width = self.screenWidth if self.solo else s... | PlayGame class used for solo and duo mode. One user plays in one PlayGame object | PlayGame | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PlayGame:
"""PlayGame class used for solo and duo mode. One user plays in one PlayGame object"""
def __init__(self, screen: pygame.Surface, username: str=None, solo: bool=True, is_left: bool=True):
"""Initialize the player's game. :param screen: surface to display game :param usernam... | stack_v2_sparse_classes_36k_train_017676 | 5,033 | no_license | [
{
"docstring": "Initialize the player's game. :param screen: surface to display game :param username: player's username :param solo: True if single player False if multi players :param is_left: True if solo and if multi player and player 1",
"name": "__init__",
"signature": "def __init__(self, screen: p... | 5 | stack_v2_sparse_classes_30k_train_008910 | Implement the Python class `PlayGame` described below.
Class description:
PlayGame class used for solo and duo mode. One user plays in one PlayGame object
Method signatures and docstrings:
- def __init__(self, screen: pygame.Surface, username: str=None, solo: bool=True, is_left: bool=True): Initialize the player's ga... | Implement the Python class `PlayGame` described below.
Class description:
PlayGame class used for solo and duo mode. One user plays in one PlayGame object
Method signatures and docstrings:
- def __init__(self, screen: pygame.Surface, username: str=None, solo: bool=True, is_left: bool=True): Initialize the player's ga... | 40042d99f847f37d142e305d4cd8563bf9639356 | <|skeleton|>
class PlayGame:
"""PlayGame class used for solo and duo mode. One user plays in one PlayGame object"""
def __init__(self, screen: pygame.Surface, username: str=None, solo: bool=True, is_left: bool=True):
"""Initialize the player's game. :param screen: surface to display game :param usernam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PlayGame:
"""PlayGame class used for solo and duo mode. One user plays in one PlayGame object"""
def __init__(self, screen: pygame.Surface, username: str=None, solo: bool=True, is_left: bool=True):
"""Initialize the player's game. :param screen: surface to display game :param username: player's u... | the_stack_v2_python_sparse | src/playgame.py | bastiendlf/FlapUFO_IA | train | 0 |
aa9d56bc710b5079229c14ed8db5ca34a28e85b1 | [
"node = TreeNode(5)\nleftNode = TreeNode(4)\nrightNode = TreeNode(5)\nnode.left = leftNode\nnode.right = rightNode\nthirdLevelLeftNode1 = TreeNode(1)\nthirdLevelLeftNode2 = TreeNode(1)\nthirdLevelRightNode1 = TreeNode(5)\nleftNode.left = thirdLevelLeftNode1\nleftNode.right = thirdLevelLeftNode2\nrightNode.right = t... | <|body_start_0|>
node = TreeNode(5)
leftNode = TreeNode(4)
rightNode = TreeNode(5)
node.left = leftNode
node.right = rightNode
thirdLevelLeftNode1 = TreeNode(1)
thirdLevelLeftNode2 = TreeNode(1)
thirdLevelRightNode1 = TreeNode(5)
leftNode.left = th... | TestSolution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestSolution:
def test_LongestUnivalueCase1(self):
"""5 / 4 5 / \\ / 1 1 5"""
<|body_0|>
def test_LongestUnivalueCase2(self):
"""1 / 4 5 / \\ / 4 4 5"""
<|body_1|>
def test_LongestUnivalueCase3(self):
"""5 / 5 5 / \\ / 5 4 5"""
<|body_2|>... | stack_v2_sparse_classes_36k_train_017677 | 2,303 | no_license | [
{
"docstring": "5 / 4 5 / \\\\ / 1 1 5",
"name": "test_LongestUnivalueCase1",
"signature": "def test_LongestUnivalueCase1(self)"
},
{
"docstring": "1 / 4 5 / \\\\ / 4 4 5",
"name": "test_LongestUnivalueCase2",
"signature": "def test_LongestUnivalueCase2(self)"
},
{
"docstring": "... | 3 | stack_v2_sparse_classes_30k_train_008230 | Implement the Python class `TestSolution` described below.
Class description:
Implement the TestSolution class.
Method signatures and docstrings:
- def test_LongestUnivalueCase1(self): 5 / 4 5 / \\ / 1 1 5
- def test_LongestUnivalueCase2(self): 1 / 4 5 / \\ / 4 4 5
- def test_LongestUnivalueCase3(self): 5 / 5 5 / \\ ... | Implement the Python class `TestSolution` described below.
Class description:
Implement the TestSolution class.
Method signatures and docstrings:
- def test_LongestUnivalueCase1(self): 5 / 4 5 / \\ / 1 1 5
- def test_LongestUnivalueCase2(self): 1 / 4 5 / \\ / 4 4 5
- def test_LongestUnivalueCase3(self): 5 / 5 5 / \\ ... | 7fa160362ebb58e7286b490012542baa2d51e5c9 | <|skeleton|>
class TestSolution:
def test_LongestUnivalueCase1(self):
"""5 / 4 5 / \\ / 1 1 5"""
<|body_0|>
def test_LongestUnivalueCase2(self):
"""1 / 4 5 / \\ / 4 4 5"""
<|body_1|>
def test_LongestUnivalueCase3(self):
"""5 / 5 5 / \\ / 5 4 5"""
<|body_2|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestSolution:
def test_LongestUnivalueCase1(self):
"""5 / 4 5 / \\ / 1 1 5"""
node = TreeNode(5)
leftNode = TreeNode(4)
rightNode = TreeNode(5)
node.left = leftNode
node.right = rightNode
thirdLevelLeftNode1 = TreeNode(1)
thirdLevelLeftNode2 = Tr... | the_stack_v2_python_sparse | tree/test_longestUnivaluePath.py | gerrycfchang/leetcode-python | train | 2 | |
4d2b16d984f666c8f889f4220e454810707c341b | [
"super().__init__()\nself.margin = margin\nself.reduction = reduction or 'none'",
"device = embeddings_pred.device\npairwise_similarity = torch.einsum('se,ae->sa', embeddings_pred, embeddings_true)\nbs = embeddings_pred.shape[0]\nbatch_idx = torch.arange(bs, device=device)\nnegative_similarity = pairwise_similari... | <|body_start_0|>
super().__init__()
self.margin = margin
self.reduction = reduction or 'none'
<|end_body_0|>
<|body_start_1|>
device = embeddings_pred.device
pairwise_similarity = torch.einsum('se,ae->sa', embeddings_pred, embeddings_true)
bs = embeddings_pred.shape[0]
... | TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome. | TripletPairwiseEmbeddingLoss | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TripletPairwiseEmbeddingLoss:
"""TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome."""
def __init__(self, margin: float=0.3, reduction: str='mean'):
"""Args: margin: margin parameter reduction: criterion reduction ... | stack_v2_sparse_classes_36k_train_017678 | 10,393 | permissive | [
{
"docstring": "Args: margin: margin parameter reduction: criterion reduction type",
"name": "__init__",
"signature": "def __init__(self, margin: float=0.3, reduction: str='mean')"
},
{
"docstring": "Work in progress. Args: embeddings_pred: predicted embeddings with shape [batch_size, embedding_... | 2 | null | Implement the Python class `TripletPairwiseEmbeddingLoss` described below.
Class description:
TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome.
Method signatures and docstrings:
- def __init__(self, margin: float=0.3, reduction: str='mean'): Args:... | Implement the Python class `TripletPairwiseEmbeddingLoss` described below.
Class description:
TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome.
Method signatures and docstrings:
- def __init__(self, margin: float=0.3, reduction: str='mean'): Args:... | e99f90655d0efcf22559a46e928f0f98c9807ebf | <|skeleton|>
class TripletPairwiseEmbeddingLoss:
"""TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome."""
def __init__(self, margin: float=0.3, reduction: str='mean'):
"""Args: margin: margin parameter reduction: criterion reduction ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TripletPairwiseEmbeddingLoss:
"""TripletPairwiseEmbeddingLoss – proof of concept criterion. Still work in progress. @TODO: Docs. Contribution is welcome."""
def __init__(self, margin: float=0.3, reduction: str='mean'):
"""Args: margin: margin parameter reduction: criterion reduction type"""
... | the_stack_v2_python_sparse | catalyst/contrib/losses/triplet.py | catalyst-team/catalyst | train | 3,038 |
138fc0c8c81448148c05c338b856b8dc1a3bd749 | [
"assert 'service_key' in event_info\nassert isinstance(event_info['service_key'], basestring)\nassert 'event_type' in event_info\nassert event_info['event_type'] in cls.EVENT_TYPES\nif event_info['event_type'] != cls.EVENT_TYPES[0]:\n assert 'incident_key' in event_info\n assert isinstance(event_info['inciden... | <|body_start_0|>
assert 'service_key' in event_info
assert isinstance(event_info['service_key'], basestring)
assert 'event_type' in event_info
assert event_info['event_type'] in cls.EVENT_TYPES
if event_info['event_type'] != cls.EVENT_TYPES[0]:
assert 'incident_key' i... | Event | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Event:
def validate(cls, event_info):
"""Validate that provided event information is valid."""
<|body_0|>
def create(cls, data=None, api_key=None, endpoint=None, add_headers=None, **kwargs):
"""Create an event on your PagerDuty account."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_36k_train_017679 | 1,812 | permissive | [
{
"docstring": "Validate that provided event information is valid.",
"name": "validate",
"signature": "def validate(cls, event_info)"
},
{
"docstring": "Create an event on your PagerDuty account.",
"name": "create",
"signature": "def create(cls, data=None, api_key=None, endpoint=None, ad... | 2 | stack_v2_sparse_classes_30k_train_018755 | Implement the Python class `Event` described below.
Class description:
Implement the Event class.
Method signatures and docstrings:
- def validate(cls, event_info): Validate that provided event information is valid.
- def create(cls, data=None, api_key=None, endpoint=None, add_headers=None, **kwargs): Create an event... | Implement the Python class `Event` described below.
Class description:
Implement the Event class.
Method signatures and docstrings:
- def validate(cls, event_info): Validate that provided event information is valid.
- def create(cls, data=None, api_key=None, endpoint=None, add_headers=None, **kwargs): Create an event... | 5e5abbfb59f5b99fa90c79907fa1eb023aa08e9c | <|skeleton|>
class Event:
def validate(cls, event_info):
"""Validate that provided event information is valid."""
<|body_0|>
def create(cls, data=None, api_key=None, endpoint=None, add_headers=None, **kwargs):
"""Create an event on your PagerDuty account."""
<|body_1|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Event:
def validate(cls, event_info):
"""Validate that provided event information is valid."""
assert 'service_key' in event_info
assert isinstance(event_info['service_key'], basestring)
assert 'event_type' in event_info
assert event_info['event_type'] in cls.EVENT_TYPE... | the_stack_v2_python_sparse | pypd/models/event.py | ryplo/helpme | train | 2 | |
e5642d9095ad361adb4cd0215cd2291610b34fac | [
"self.A = A\nself.B = B\nself.R = R\nself.C = C\nself.Q = Q",
"mu_exp = np.dot(self.A, mu_prev) + np.dot(self.B, control)\ncov_exp = np.dot(np.dot(self.A, cov_prev), self.A.T) + self.R\ntemp = np.linalg.inv(np.dot(np.dot(self.C, cov_exp), self.C.T) + self.Q)\nK = np.dot(np.dot(cov_exp, self.C.T), temp)\nmu = mu_e... | <|body_start_0|>
self.A = A
self.B = B
self.R = R
self.C = C
self.Q = Q
<|end_body_0|>
<|body_start_1|>
mu_exp = np.dot(self.A, mu_prev) + np.dot(self.B, control)
cov_exp = np.dot(np.dot(self.A, cov_prev), self.A.T) + self.R
temp = np.linalg.inv(np.dot(np... | A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data. | Kalman_Filter | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Kalman_Filter:
"""A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data."""
def __init__(self, A, B, R, C, Q):
"""Initialize the parameter... | stack_v2_sparse_classes_36k_train_017680 | 1,737 | permissive | [
{
"docstring": "Initialize the parameter matrices for state transistions, measurement predictions, and parameter covariances. Parameters: A:",
"name": "__init__",
"signature": "def __init__(self, A, B, R, C, Q)"
},
{
"docstring": "Perform the Kalman Filter provided the previous state estimation,... | 2 | stack_v2_sparse_classes_30k_train_003554 | Implement the Python class `Kalman_Filter` described below.
Class description:
A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data.
Method signatures and docstrings:
- de... | Implement the Python class `Kalman_Filter` described below.
Class description:
A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data.
Method signatures and docstrings:
- de... | 26b476e1c8743f422c5affea744234e6322d4f59 | <|skeleton|>
class Kalman_Filter:
"""A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data."""
def __init__(self, A, B, R, C, Q):
"""Initialize the parameter... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Kalman_Filter:
"""A class that contains the mathmatics for a kalman filter. The state transistions, measurment predictions and parameter covariances need to be set, then predictions can be made about the state of data."""
def __init__(self, A, B, R, C, Q):
"""Initialize the parameter matrices for... | the_stack_v2_python_sparse | Sub/Src/Helpers/Kalman_Filter.py | senseishafi/mechatronics-2019 | train | 0 |
0db3134f21783599aca7066349ac9eae5728671a | [
"self.table = dj_model\nself.fields = None\nself.values = []\nself.count = 0",
"if not self.fields:\n self.fields = kwargs.keys()\nassert set(self.fields) == set(kwargs.keys())\nfor k in self.fields:\n self.values.append(kwargs[k])\nself.count += 1",
"if not self.values:\n return\nalias = router.db_for... | <|body_start_0|>
self.table = dj_model
self.fields = None
self.values = []
self.count = 0
<|end_body_0|>
<|body_start_1|>
if not self.fields:
self.fields = kwargs.keys()
assert set(self.fields) == set(kwargs.keys())
for k in self.fields:
s... | Handle bulk object insertion | BulkInserter | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BulkInserter:
"""Handle bulk object insertion"""
def __init__(self, dj_model):
"""Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`"""
<|body_0|>
def add_entry(self, **kwargs):
"""Add... | stack_v2_sparse_classes_36k_train_017681 | 8,535 | no_license | [
{
"docstring": "Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`",
"name": "__init__",
"signature": "def __init__(self, dj_model)"
},
{
"docstring": "Add a new entry to be inserted The first time the method is calle... | 3 | stack_v2_sparse_classes_30k_train_006139 | Implement the Python class `BulkInserter` described below.
Class description:
Handle bulk object insertion
Method signatures and docstrings:
- def __init__(self, dj_model): Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`
- def add_entry... | Implement the Python class `BulkInserter` described below.
Class description:
Handle bulk object insertion
Method signatures and docstrings:
- def __init__(self, dj_model): Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`
- def add_entry... | d253f09d7848e6cf32e8c7756551436da413176b | <|skeleton|>
class BulkInserter:
"""Handle bulk object insertion"""
def __init__(self, dj_model):
"""Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`"""
<|body_0|>
def add_entry(self, **kwargs):
"""Add... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BulkInserter:
"""Handle bulk object insertion"""
def __init__(self, dj_model):
"""Create a new bulk inserter for a Django model class :param dj_model: Django model :type dj_model: :class:`django.db.models.Model`"""
self.table = dj_model
self.fields = None
self.values = []
... | the_stack_v2_python_sparse | python-oq/openquake/writer.py | arbeit/openquake-packages | train | 1 |
856eb70491de521d081d517835c6ed17bc7f3f13 | [
"self.token = {'access_token': Mytest.access_token}\ntag_name = {'tag': {'name': '150KKk789004'}}\nhost = 'https://api.weixin.qq.com/cgi-bin/tags/create'\nr6 = ApiDefine().createtagname(self.session, host, params=self.token, data=json.dumps(tag_name))\ntime.sleep(2)\nprint('创建标签', r6.text)",
"self.token = {'acces... | <|body_start_0|>
self.token = {'access_token': Mytest.access_token}
tag_name = {'tag': {'name': '150KKk789004'}}
host = 'https://api.weixin.qq.com/cgi-bin/tags/create'
r6 = ApiDefine().createtagname(self.session, host, params=self.token, data=json.dumps(tag_name))
time.sleep(2)
... | Mytest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Mytest:
def test_createtag(self):
"""创建标签"""
<|body_0|>
def test_createtag_30(self):
"""标签名字长度超过30个字符"""
<|body_1|>
def test_gettag(self):
"""获取标签"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
self.token = {'access_token': Myt... | stack_v2_sparse_classes_36k_train_017682 | 1,604 | no_license | [
{
"docstring": "创建标签",
"name": "test_createtag",
"signature": "def test_createtag(self)"
},
{
"docstring": "标签名字长度超过30个字符",
"name": "test_createtag_30",
"signature": "def test_createtag_30(self)"
},
{
"docstring": "获取标签",
"name": "test_gettag",
"signature": "def test_gett... | 3 | null | Implement the Python class `Mytest` described below.
Class description:
Implement the Mytest class.
Method signatures and docstrings:
- def test_createtag(self): 创建标签
- def test_createtag_30(self): 标签名字长度超过30个字符
- def test_gettag(self): 获取标签 | Implement the Python class `Mytest` described below.
Class description:
Implement the Mytest class.
Method signatures and docstrings:
- def test_createtag(self): 创建标签
- def test_createtag_30(self): 标签名字长度超过30个字符
- def test_gettag(self): 获取标签
<|skeleton|>
class Mytest:
def test_createtag(self):
"""创建标签""... | 7b790f675419224bfdbe1542eddc5a638982e68a | <|skeleton|>
class Mytest:
def test_createtag(self):
"""创建标签"""
<|body_0|>
def test_createtag_30(self):
"""标签名字长度超过30个字符"""
<|body_1|>
def test_gettag(self):
"""获取标签"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Mytest:
def test_createtag(self):
"""创建标签"""
self.token = {'access_token': Mytest.access_token}
tag_name = {'tag': {'name': '150KKk789004'}}
host = 'https://api.weixin.qq.com/cgi-bin/tags/create'
r6 = ApiDefine().createtagname(self.session, host, params=self.token, data... | the_stack_v2_python_sparse | 老师の课堂代码/weixin_apitest/testcases/weixin_createtagname.py | liousAlready/NewDream_learning | train | 0 | |
4445625b986212c39ba1bb94ae9d43ed6d63e12c | [
"if not email:\n raise ValueError('Users must have an email address')\nuser = self.model(email=self.normalize_email(email), name=name)\nuser.set_password(password)\nuser.save(using=self._db)\nreturn user",
"user = self.create_user(email, password=password, name=name)\nuser.is_admin = True\nuser.save(using=self... | <|body_start_0|>
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email), name=name)
user.set_password(password)
user.save(using=self._db)
return user
<|end_body_0|>
<|body_start_1|>
user = self.c... | MyUserManager | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, name, password):
"""Creates and saves a superuser with the given email, dat... | stack_v2_sparse_classes_36k_train_017683 | 3,144 | no_license | [
{
"docstring": "Creates and saves a User with the given email, date of birth and password.",
"name": "create_user",
"signature": "def create_user(self, email, name, password=None)"
},
{
"docstring": "Creates and saves a superuser with the given email, date of birth and password.",
"name": "c... | 2 | stack_v2_sparse_classes_30k_train_015762 | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, email, name, ... | Implement the Python class `MyUserManager` described below.
Class description:
Implement the MyUserManager class.
Method signatures and docstrings:
- def create_user(self, email, name, password=None): Creates and saves a User with the given email, date of birth and password.
- def create_superuser(self, email, name, ... | c00c48719a5ff9a0d9fe562c53bfb378f33cf82b | <|skeleton|>
class MyUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
<|body_0|>
def create_superuser(self, email, name, password):
"""Creates and saves a superuser with the given email, dat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyUserManager:
def create_user(self, email, name, password=None):
"""Creates and saves a User with the given email, date of birth and password."""
if not email:
raise ValueError('Users must have an email address')
user = self.model(email=self.normalize_email(email), name=na... | the_stack_v2_python_sparse | UserManager/models.py | namaiwa/CRM | train | 0 | |
e5df29c7af9c2c37732937ae4c1d4158f7a6872f | [
"self.id = id\nself.name = name\nself.gcp_project_id = gcp_project_id\nself.gcp_download_bucket = gcp_download_bucket\nself.gcp_transform_bucket = gcp_transform_bucket\nself.created = to_datetime_utc(created)\nself.modified = to_datetime_utc(modified)",
"if name is not None:\n self.name = name\nif gcp_project_... | <|body_start_0|>
self.id = id
self.name = name
self.gcp_project_id = gcp_project_id
self.gcp_download_bucket = gcp_download_bucket
self.gcp_transform_bucket = gcp_transform_bucket
self.created = to_datetime_utc(created)
self.modified = to_datetime_utc(modified)
<|... | Organisation | [
"MIT",
"BSD-2-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Organisation:
def __init__(self, id: int=None, name: str=None, gcp_project_id: str=None, gcp_download_bucket: str=None, gcp_transform_bucket: str=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None):
"""Construct an Organisation object, which contains information abou... | stack_v2_sparse_classes_36k_train_017684 | 12,117 | permissive | [
{
"docstring": "Construct an Organisation object, which contains information about what Google Cloud project an organisation uses, what are it's download and transform buckets and what telescopes does it have. The maximum lengths of the gcp_project_id, gcp_download_bucket and gcp_transform_bucket come from the ... | 2 | null | Implement the Python class `Organisation` described below.
Class description:
Implement the Organisation class.
Method signatures and docstrings:
- def __init__(self, id: int=None, name: str=None, gcp_project_id: str=None, gcp_download_bucket: str=None, gcp_transform_bucket: str=None, created: pendulum.DateTime=None,... | Implement the Python class `Organisation` described below.
Class description:
Implement the Organisation class.
Method signatures and docstrings:
- def __init__(self, id: int=None, name: str=None, gcp_project_id: str=None, gcp_download_bucket: str=None, gcp_transform_bucket: str=None, created: pendulum.DateTime=None,... | 64b62cba83110fea60e91506dff4a83ba9931ba9 | <|skeleton|>
class Organisation:
def __init__(self, id: int=None, name: str=None, gcp_project_id: str=None, gcp_download_bucket: str=None, gcp_transform_bucket: str=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None):
"""Construct an Organisation object, which contains information abou... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Organisation:
def __init__(self, id: int=None, name: str=None, gcp_project_id: str=None, gcp_download_bucket: str=None, gcp_transform_bucket: str=None, created: pendulum.DateTime=None, modified: pendulum.DateTime=None):
"""Construct an Organisation object, which contains information about what Google ... | the_stack_v2_python_sparse | observatory-api/observatory/api/server/orm.py | kieranroberts/observatory-platform | train | 0 | |
6ad0c7e954ef31d126d5e6007ca0e212d1c01f42 | [
"self.lazy_load = lazy_load\nself.fully_loaded = False\nif not pop_directory:\n pop_directory = DEFAULT_POP_DIR\ntiff_path = glob.glob(os.path.join(pop_directory, '*.tif'))\nif not tiff_path:\n raise ValueError('No TIFF file name in directory: %s' % pop_directory)\nself._tiff_path = tiff_path[0]\nself._raster... | <|body_start_0|>
self.lazy_load = lazy_load
self.fully_loaded = False
if not pop_directory:
pop_directory = DEFAULT_POP_DIR
tiff_path = glob.glob(os.path.join(pop_directory, '*.tif'))
if not tiff_path:
raise ValueError('No TIFF file name in directory: %s' ... | USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868 | UsgsPopDriver | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsgsPopDriver:
"""USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868"""
def __init__(self, pop_directory=None, lazy_load=False):
"""Initializes the driver. Args... | stack_v2_sparse_classes_36k_train_017685 | 9,295 | permissive | [
{
"docstring": "Initializes the driver. Args: pop_directory: The directory holding the USGS population raster. If None, use the default location. lazy_load: If True, then lazy population loading done (as needed).",
"name": "__init__",
"signature": "def __init__(self, pop_directory=None, lazy_load=False)... | 3 | stack_v2_sparse_classes_30k_train_011183 | Implement the Python class `UsgsPopDriver` described below.
Class description:
USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868
Method signatures and docstrings:
- def __init__(self, pop_direc... | Implement the Python class `UsgsPopDriver` described below.
Class description:
USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868
Method signatures and docstrings:
- def __init__(self, pop_direc... | 19f2ae9c1a1844e2f2ca2ceddd07f392249741e6 | <|skeleton|>
class UsgsPopDriver:
"""USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868"""
def __init__(self, pop_directory=None, lazy_load=False):
"""Initializes the driver. Args... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UsgsPopDriver:
"""USGS Population Raster driver. This class manages the reading of population raster data provided by USGS at: https://www.sciencebase.gov/catalog/item/57753ebee4b07dd077c70868"""
def __init__(self, pop_directory=None, lazy_load=False):
"""Initializes the driver. Args: pop_directo... | the_stack_v2_python_sparse | src/lib/usgs_pop/usgs_pop_driver.py | Wireless-Innovation-Forum/Spectrum-Access-System | train | 64 |
f9253e6a9ac773fb0e52eee3ed8bc848ce0e7e0d | [
"self.first_name = first_name\nself.last_name = last_name\nself.middle_name = middle_name\nself.fullname = fullname\nself.address = address\nself.address_2 = address_2\nself.city = city\nself.postal_code = postal_code\nself.gender = gender\nself.raw_json = raw_json\nself.request_id = request_id\nself.additional_pro... | <|body_start_0|>
self.first_name = first_name
self.last_name = last_name
self.middle_name = middle_name
self.fullname = fullname
self.address = address
self.address_2 = address_2
self.city = city
self.postal_code = postal_code
self.gender = gender
... | Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. middle_name (string): TODO: type description here. fullname (string): TODO: type description here. addres... | PersonOfficialPersonRegistryResponse | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PersonOfficialPersonRegistryResponse:
"""Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. middle_name (string): TODO: type descript... | stack_v2_sparse_classes_36k_train_017686 | 4,269 | permissive | [
{
"docstring": "Constructor for the PersonOfficialPersonRegistryResponse class",
"name": "__init__",
"signature": "def __init__(self, first_name=None, last_name=None, middle_name=None, fullname=None, address=None, address_2=None, city=None, postal_code=None, gender=None, raw_json=None, request_id=None, ... | 2 | null | Implement the Python class `PersonOfficialPersonRegistryResponse` described below.
Class description:
Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. mi... | Implement the Python class `PersonOfficialPersonRegistryResponse` described below.
Class description:
Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. mi... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class PersonOfficialPersonRegistryResponse:
"""Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. middle_name (string): TODO: type descript... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PersonOfficialPersonRegistryResponse:
"""Implementation of the 'Person.OfficialPersonRegistryResponse' model. TODO: type model description here. Attributes: first_name (string): TODO: type description here. last_name (string): TODO: type description here. middle_name (string): TODO: type description here. ful... | the_stack_v2_python_sparse | idfy_rest_client/models/person_official_person_registry_response.py | dealflowteam/Idfy | train | 0 |
7611739327781b333d6475c253304e417f433892 | [
"if not root:\n return path\nif root.left is None and root.right is None:\n path.append(root.val)\nif root.left:\n self.helper(root.left, path)\nif root.right:\n self.helper(root.right, path)",
"path1, path2 = ([], [])\nself.helper(root1, path1)\nself.helper(root2, path2)\nif path1 == path2:\n retu... | <|body_start_0|>
if not root:
return path
if root.left is None and root.right is None:
path.append(root.val)
if root.left:
self.helper(root.left, path)
if root.right:
self.helper(root.right, path)
<|end_body_0|>
<|body_start_1|>
pa... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def helper(self, root, path):
""":type path: list :type root: TreeNode"""
<|body_0|>
def leafSimilar(self, root1, root2):
""":type root1: TreeNode :type root2: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not ro... | stack_v2_sparse_classes_36k_train_017687 | 927 | no_license | [
{
"docstring": ":type path: list :type root: TreeNode",
"name": "helper",
"signature": "def helper(self, root, path)"
},
{
"docstring": ":type root1: TreeNode :type root2: TreeNode :rtype: bool",
"name": "leafSimilar",
"signature": "def leafSimilar(self, root1, root2)"
}
] | 2 | stack_v2_sparse_classes_30k_train_020017 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, root, path): :type path: list :type root: TreeNode
- def leafSimilar(self, root1, root2): :type root1: TreeNode :type root2: TreeNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def helper(self, root, path): :type path: list :type root: TreeNode
- def leafSimilar(self, root1, root2): :type root1: TreeNode :type root2: TreeNode :rtype: bool
<|skeleton|>
... | 9bd2d706f014ce84356ba38fc7801da0285a91d3 | <|skeleton|>
class Solution:
def helper(self, root, path):
""":type path: list :type root: TreeNode"""
<|body_0|>
def leafSimilar(self, root1, root2):
""":type root1: TreeNode :type root2: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def helper(self, root, path):
""":type path: list :type root: TreeNode"""
if not root:
return path
if root.left is None and root.right is None:
path.append(root.val)
if root.left:
self.helper(root.left, path)
if root.right:
... | the_stack_v2_python_sparse | leetcode/leafSimilar-872.py | pittcat/Algorithm_Practice | train | 0 | |
8331995802c9cb17e59f8d65befe3d519d5f4c44 | [
"def time_difference(profile):\n if profile.installed_on is None:\n return timedelta.max.total_seconds()\n return abs((given_time - profile.installed_on).total_seconds())\nreturn min(queryset, key=time_difference)",
"serializer = ReferralForIpSerializer(data=request.query_params)\nserializer.is_valid... | <|body_start_0|>
def time_difference(profile):
if profile.installed_on is None:
return timedelta.max.total_seconds()
return abs((given_time - profile.installed_on).total_seconds())
return min(queryset, key=time_difference)
<|end_body_0|>
<|body_start_1|>
... | ReferrerForIp | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReferrerForIp:
def get_closest_profile_installation(self, queryset, given_time):
"""Return the minimum difference in time between entries and the given time, transformed by a key function."""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Return the referrer ... | stack_v2_sparse_classes_36k_train_017688 | 2,024 | no_license | [
{
"docstring": "Return the minimum difference in time between entries and the given time, transformed by a key function.",
"name": "get_closest_profile_installation",
"signature": "def get_closest_profile_installation(self, queryset, given_time)"
},
{
"docstring": "Return the referrer name who b... | 2 | stack_v2_sparse_classes_30k_train_000641 | Implement the Python class `ReferrerForIp` described below.
Class description:
Implement the ReferrerForIp class.
Method signatures and docstrings:
- def get_closest_profile_installation(self, queryset, given_time): Return the minimum difference in time between entries and the given time, transformed by a key functio... | Implement the Python class `ReferrerForIp` described below.
Class description:
Implement the ReferrerForIp class.
Method signatures and docstrings:
- def get_closest_profile_installation(self, queryset, given_time): Return the minimum difference in time between entries and the given time, transformed by a key functio... | 1ff73f41af005506d1787847bbb5c0f7f1c7e74d | <|skeleton|>
class ReferrerForIp:
def get_closest_profile_installation(self, queryset, given_time):
"""Return the minimum difference in time between entries and the given time, transformed by a key function."""
<|body_0|>
def get(self, request, *args, **kwargs):
"""Return the referrer ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReferrerForIp:
def get_closest_profile_installation(self, queryset, given_time):
"""Return the minimum difference in time between entries and the given time, transformed by a key function."""
def time_difference(profile):
if profile.installed_on is None:
return time... | the_stack_v2_python_sparse | tappil/referrers/views.py | dangerfarms/tappil | train | 0 | |
7686d6bb42e57f535ab7deced8b2acaf32e1bd0d | [
"self.name = name\nself.charge = charge\nself.radius = radius\nself.resname = resname\nself.group = group",
"try:\n item = getattr(self, name)\n return item\nexcept AttributeError:\n message = 'Unable to access object \"%s\" in class ForcefieldAtom' % name\n raise ValueError(message)",
"txt = '%s:\\... | <|body_start_0|>
self.name = name
self.charge = charge
self.radius = radius
self.resname = resname
self.group = group
<|end_body_0|>
<|body_start_1|>
try:
item = getattr(self, name)
return item
except AttributeError:
message = ... | ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level | ForcefieldAtom | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius, resname, group=''):
"""Initialize the object Parameters name: The atom name (string) charge: The charge o... | stack_v2_sparse_classes_36k_train_017689 | 36,720 | permissive | [
{
"docstring": "Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (float) radius: The radius of the atom (float) resname: The residue name (string) group: The group name (string)",
"name": "__init__",
"signature": "def __init__(self, name, charge, radius, resna... | 3 | stack_v2_sparse_classes_30k_train_004885 | Implement the Python class `ForcefieldAtom` described below.
Class description:
ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level
Method signatures and docstrings:
- def __init__(self, name, charge, radius, resname, group=''): Initialize the object Par... | Implement the Python class `ForcefieldAtom` described below.
Class description:
ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level
Method signatures and docstrings:
- def __init__(self, name, charge, radius, resname, group=''): Initialize the object Par... | f4eaad40eebefafa25b3aa77493499deb1a72cc4 | <|skeleton|>
class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius, resname, group=''):
"""Initialize the object Parameters name: The atom name (string) charge: The charge o... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ForcefieldAtom:
"""ForcefieldAtom class The ForcefieldAtom object contains fields that are related to the forcefield at the atom level"""
def __init__(self, name, charge, radius, resname, group=''):
"""Initialize the object Parameters name: The atom name (string) charge: The charge on the atom (f... | the_stack_v2_python_sparse | bin/pdb2pqr-1.6/src/forcefield.py | MonZop/BioBlender21 | train | 0 |
09a2021dafc40470c5a853dc987d29047c04990e | [
"self.x_vel = self.y_vel = self.y_vel_i = 0\nself.grav = 20\nself.fall = False\nself.time = None",
"if self.fall:\n time_now = pg.time.get_ticks()\n if not self.time:\n self.time = time_now\n self.y_vel = self.grav * ((time_now - self.time) / 1000.0) + self.y_vel_i\nelse:\n self.time = None\n ... | <|body_start_0|>
self.x_vel = self.y_vel = self.y_vel_i = 0
self.grav = 20
self.fall = False
self.time = None
<|end_body_0|>
<|body_start_1|>
if self.fall:
time_now = pg.time.get_ticks()
if not self.time:
self.time = time_now
s... | A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself. | _Physics | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity h... | stack_v2_sparse_classes_36k_train_017690 | 8,368 | no_license | [
{
"docstring": "You can experiment with different gravity here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "If the player is falling, calculate current y velocity.",
"name": "physics_update",
"signature": "def physics_update(self)"
}
] | 2 | null | Implement the Python class `_Physics` described below.
Class description:
A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself.
Method signatures and docstrings:
- def __... | Implement the Python class `_Physics` described below.
Class description:
A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself.
Method signatures and docstrings:
- def __... | 7fc4e0d98d06b4e28b09844babb2452e229a603c | <|skeleton|>
class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity h... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _Physics:
"""A simplified physics class. Using a 'real' gravity function here, though it is questionable whether or not it is worth the effort. Compare to the effect of gravity in fall_rect and decide for yourself."""
def __init__(self):
"""You can experiment with different gravity here."""
... | the_stack_v2_python_sparse | meks-pygame-samples/platforming/fall_rotate.py | pk00749/Example_Python | train | 1 |
7fa1f11e0ed3ad74d66fb62d86a4720ed925e146 | [
"bad_lines = []\nif not content:\n raise SkipComponent('Empty content.')\nif len(content) < 5:\n raise ParseException(\"Wrong content in table: '{0}'.\".format(content))\ndata = {}\nfor _l in content[3:-1]:\n l = _l.strip()\n if not (l.startswith('|') and l.endswith('|')):\n bad_lines.append(_l)\... | <|body_start_0|>
bad_lines = []
if not content:
raise SkipComponent('Empty content.')
if len(content) < 5:
raise ParseException("Wrong content in table: '{0}'.".format(content))
data = {}
for _l in content[3:-1]:
l = _l.strip()
if n... | The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored in the ``bad_lines`` property list. Example: >>> output.get('version') '5.5.56-Mar... | MysqladminVars | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MysqladminVars:
"""The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored in the ``bad_lines`` property list. Exam... | stack_v2_sparse_classes_36k_train_017691 | 4,351 | permissive | [
{
"docstring": "Parse output content table of command ``/bin/mysqladmin variables``. Set each variable as an class attribute.",
"name": "parse_content",
"signature": "def parse_content(self, content)"
},
{
"docstring": "Get value for specified keyword, use default if keyword not found. Example: ... | 2 | stack_v2_sparse_classes_30k_train_017312 | Implement the Python class `MysqladminVars` described below.
Class description:
The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored i... | Implement the Python class `MysqladminVars` described below.
Class description:
The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored i... | b0ea07fc3f4dd8801b505fe70e9b36e628152c4a | <|skeleton|>
class MysqladminVars:
"""The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored in the ``bad_lines`` property list. Exam... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MysqladminVars:
"""The output of command ``/bin/mysqladmin variables`` is in mysql table format, contains 'Variable_name' and 'Value' two columns. This parser will parse the table and set each variable as an class attribute. The unparsable lines are stored in the ``bad_lines`` property list. Example: >>> outp... | the_stack_v2_python_sparse | insights/parsers/mysqladmin.py | RedHatInsights/insights-core | train | 144 |
6731c1d7b9275bf8364ee4f2c2af3919903dc619 | [
"super().__init__(imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background)\nself.min_spot_size = min_spot_size\nself.max_spot_size = max_spot_size\nself.filter_spots = filter_spots",
"num_panels = len(self.imageset.get_detector())\npixel_labeller = [PixelListLabe... | <|body_start_0|>
super().__init__(imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background)
self.min_spot_size = min_spot_size
self.max_spot_size = max_spot_size
self.filter_spots = filter_spots
<|end_body_0|>
<|body_start_1|>
nu... | A class to extract pixels from a single image | ExtractPixelsFromImage2DNoShoeboxes | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExtractPixelsFromImage2DNoShoeboxes:
"""A class to extract pixels from a single image"""
def __init__(self, imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background, min_spot_size, max_spot_size, filter_spots):
"""Initialise the class... | stack_v2_sparse_classes_36k_train_017692 | 29,989 | permissive | [
{
"docstring": "Initialise the class :param imageset: The imageset to extract from :param threshold_function: The function to threshold with :param mask: The image mask :param region_of_interest: A region of interest to process :param max_strong_pixel_fraction: The maximum fraction of pixels allowed",
"name... | 2 | stack_v2_sparse_classes_30k_val_000646 | Implement the Python class `ExtractPixelsFromImage2DNoShoeboxes` described below.
Class description:
A class to extract pixels from a single image
Method signatures and docstrings:
- def __init__(self, imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background, min_spot... | Implement the Python class `ExtractPixelsFromImage2DNoShoeboxes` described below.
Class description:
A class to extract pixels from a single image
Method signatures and docstrings:
- def __init__(self, imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background, min_spot... | 88bf7f7c5ac44defc046ebf0719cde748092cfff | <|skeleton|>
class ExtractPixelsFromImage2DNoShoeboxes:
"""A class to extract pixels from a single image"""
def __init__(self, imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background, min_spot_size, max_spot_size, filter_spots):
"""Initialise the class... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExtractPixelsFromImage2DNoShoeboxes:
"""A class to extract pixels from a single image"""
def __init__(self, imageset, threshold_function, mask, region_of_interest, max_strong_pixel_fraction, compute_mean_background, min_spot_size, max_spot_size, filter_spots):
"""Initialise the class :param image... | the_stack_v2_python_sparse | src/dials/algorithms/spot_finding/finder.py | dials/dials | train | 71 |
3522d507ac363021815a9c9d49e9bb52a0cf409a | [
"l, r = (0, len(height) - 1)\nmax_c = 0\nwhile l != r:\n l_h = height[l]\n r_h = height[r]\n tem = min(l_h, r_h) * (r - l)\n max_c = max(max_c, tem)\n if l_h < r_h:\n l += 1\n else:\n r -= 1\nreturn max_c",
"i, j = (0, len(height) - 1)\nv = (j - i) * min(height[i], height[j])\nwhil... | <|body_start_0|>
l, r = (0, len(height) - 1)
max_c = 0
while l != r:
l_h = height[l]
r_h = height[r]
tem = min(l_h, r_h) * (r - l)
max_c = max(max_c, tem)
if l_h < r_h:
l += 1
else:
r -= 1
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
l, r = (0, len(height) - 1)
max_c = 0... | stack_v2_sparse_classes_36k_train_017693 | 888 | no_license | [
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
},
{
"docstring": ":type height: List[int] :rtype: int",
"name": "maxArea",
"signature": "def maxArea(self, height)"
}
] | 2 | stack_v2_sparse_classes_30k_train_005994 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxArea(self, height): :type height: List[int] :rtype: int
- def maxArea(self, height): :type height: List[int] :rtype: int
<|skeleton|>
class Solution:
def maxArea(sel... | bd8df12c0d4afd048cf1b58b04c27fa1f3622769 | <|skeleton|>
class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_0|>
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxArea(self, height):
""":type height: List[int] :rtype: int"""
l, r = (0, len(height) - 1)
max_c = 0
while l != r:
l_h = height[l]
r_h = height[r]
tem = min(l_h, r_h) * (r - l)
max_c = max(max_c, tem)
i... | the_stack_v2_python_sparse | 11_container_with_most_water.py | aojugg/leetcode | train | 0 | |
b691b6457e83c1a829090ccae968fce304849d2e | [
"object.__init__(self)\nself._timeouts = iter(self._TIMEOUT_PER_ATTEMPT)\nself._time_fn = _time_fn\nself._random_fn = _random_fn",
"try:\n timeout = next(self._timeouts)\nexcept StopIteration:\n timeout = None\nif timeout is not None:\n variation_range = timeout * 0.1\n timeout += self._random_fn() * ... | <|body_start_0|>
object.__init__(self)
self._timeouts = iter(self._TIMEOUT_PER_ATTEMPT)
self._time_fn = _time_fn
self._random_fn = _random_fn
<|end_body_0|>
<|body_start_1|>
try:
timeout = next(self._timeouts)
except StopIteration:
timeout = None
... | Class with lock acquire timeout strategy. | LockAttemptTimeoutStrategy | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LockAttemptTimeoutStrategy:
"""Class with lock acquire timeout strategy."""
def __init__(self, _time_fn=time.time, _random_fn=random.random):
"""Initializes this class. @param _time_fn: Time function for unittests @param _random_fn: Random number generator for unittests"""
<|... | stack_v2_sparse_classes_36k_train_017694 | 25,079 | permissive | [
{
"docstring": "Initializes this class. @param _time_fn: Time function for unittests @param _random_fn: Random number generator for unittests",
"name": "__init__",
"signature": "def __init__(self, _time_fn=time.time, _random_fn=random.random)"
},
{
"docstring": "Returns the timeout for the next ... | 2 | null | Implement the Python class `LockAttemptTimeoutStrategy` described below.
Class description:
Class with lock acquire timeout strategy.
Method signatures and docstrings:
- def __init__(self, _time_fn=time.time, _random_fn=random.random): Initializes this class. @param _time_fn: Time function for unittests @param _rando... | Implement the Python class `LockAttemptTimeoutStrategy` described below.
Class description:
Class with lock acquire timeout strategy.
Method signatures and docstrings:
- def __init__(self, _time_fn=time.time, _random_fn=random.random): Initializes this class. @param _time_fn: Time function for unittests @param _rando... | 456ea285a7583183c2c8e5bcffe9006ec8a9d658 | <|skeleton|>
class LockAttemptTimeoutStrategy:
"""Class with lock acquire timeout strategy."""
def __init__(self, _time_fn=time.time, _random_fn=random.random):
"""Initializes this class. @param _time_fn: Time function for unittests @param _random_fn: Random number generator for unittests"""
<|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LockAttemptTimeoutStrategy:
"""Class with lock acquire timeout strategy."""
def __init__(self, _time_fn=time.time, _random_fn=random.random):
"""Initializes this class. @param _time_fn: Time function for unittests @param _random_fn: Random number generator for unittests"""
object.__init__... | the_stack_v2_python_sparse | lib/mcpu.py | ganeti/ganeti | train | 465 |
d90dd151e51e79badec0aaa67470bb5c62e6428b | [
"if allauth_settings.EMAIL_VERIFICATION == allauth_settings.EmailVerificationMethod.MANDATORY:\n return {'detail': 'Verification e-mail sent.'}\nreturn TokenSerializer({'user': user, 'token': self.token}).data",
"user = serializer.save(self.request)\nself.token = create_knox_token(self.token_model, user, None)... | <|body_start_0|>
if allauth_settings.EMAIL_VERIFICATION == allauth_settings.EmailVerificationMethod.MANDATORY:
return {'detail': 'Verification e-mail sent.'}
return TokenSerializer({'user': user, 'token': self.token}).data
<|end_body_0|>
<|body_start_1|>
user = serializer.save(self.... | Enables registration of users into the system | RegisterView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RegisterView:
"""Enables registration of users into the system"""
def get_response_data(self, user):
"""Send authentication data to the client"""
<|body_0|>
def perform_create(self, serializer):
"""Create and instance of the user to the database and perform post ... | stack_v2_sparse_classes_36k_train_017695 | 4,981 | permissive | [
{
"docstring": "Send authentication data to the client",
"name": "get_response_data",
"signature": "def get_response_data(self, user)"
},
{
"docstring": "Create and instance of the user to the database and perform post registration processed These processed include sending activation email and s... | 2 | null | Implement the Python class `RegisterView` described below.
Class description:
Enables registration of users into the system
Method signatures and docstrings:
- def get_response_data(self, user): Send authentication data to the client
- def perform_create(self, serializer): Create and instance of the user to the datab... | Implement the Python class `RegisterView` described below.
Class description:
Enables registration of users into the system
Method signatures and docstrings:
- def get_response_data(self, user): Send authentication data to the client
- def perform_create(self, serializer): Create and instance of the user to the datab... | 6b080039398fb4099a34335317d649dd67783f63 | <|skeleton|>
class RegisterView:
"""Enables registration of users into the system"""
def get_response_data(self, user):
"""Send authentication data to the client"""
<|body_0|>
def perform_create(self, serializer):
"""Create and instance of the user to the database and perform post ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RegisterView:
"""Enables registration of users into the system"""
def get_response_data(self, user):
"""Send authentication data to the client"""
if allauth_settings.EMAIL_VERIFICATION == allauth_settings.EmailVerificationMethod.MANDATORY:
return {'detail': 'Verification e-mai... | the_stack_v2_python_sparse | accounts/views.py | daniel-waruo/e-commerse-api | train | 6 |
1977e5bc5f765b35a9cfaf773ad9cf978bd40b22 | [
"if item:\n self.root = Node(item)\nelse:\n self.root = None",
"if self:\n if self.root:\n self.root + item\n else:\n self.root = Node(item)",
"if self:\n if self.root:\n if item in self.root:\n return True\nreturn False",
"lst = []\nif self:\n if self.root:\n... | <|body_start_0|>
if item:
self.root = Node(item)
else:
self.root = None
<|end_body_0|>
<|body_start_1|>
if self:
if self.root:
self.root + item
else:
self.root = Node(item)
<|end_body_1|>
<|body_start_2|>
i... | BST | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BST:
def __init__(self, item=None):
"""This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item."""
<|body_0|>
def __add__(self, item):
"""This magic method inserts a new item into self."""
... | stack_v2_sparse_classes_36k_train_017696 | 4,969 | no_license | [
{
"docstring": "This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item.",
"name": "__init__",
"signature": "def __init__(self, item=None)"
},
{
"docstring": "This magic method inserts a new item into self.",
"name... | 6 | stack_v2_sparse_classes_30k_train_008260 | Implement the Python class `BST` described below.
Class description:
Implement the BST class.
Method signatures and docstrings:
- def __init__(self, item=None): This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item.
- def __add__(self, it... | Implement the Python class `BST` described below.
Class description:
Implement the BST class.
Method signatures and docstrings:
- def __init__(self, item=None): This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item.
- def __add__(self, it... | e773e87668af057c8adb1e012aa5d81f42c70f2a | <|skeleton|>
class BST:
def __init__(self, item=None):
"""This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item."""
<|body_0|>
def __add__(self, item):
"""This magic method inserts a new item into self."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BST:
def __init__(self, item=None):
"""This constructor takes an item with the default value of None and sets self.root to None if item is None else sets it to Node of item."""
if item:
self.root = Node(item)
else:
self.root = None
def __add__(self, item):
... | the_stack_v2_python_sparse | HW/HW5/hw5.py | SiddhantBhardwaj2018/ISTA-350 | train | 0 | |
69824654e35c61f2ccc415e647a04a23fdc4edf7 | [
"count = 1\nfor k in range(2, int(math.sqrt(2 * N)) + 1):\n if (N - k * (k - 1) / 2) % k == 0:\n count += 1\nreturn count",
"count, k = (1, 2)\nwhile N > k * (k - 1) // 2:\n if (N - k * (k - 1) / 2) % k == 0:\n count += 1\n k += 1\nreturn count"
] | <|body_start_0|>
count = 1
for k in range(2, int(math.sqrt(2 * N)) + 1):
if (N - k * (k - 1) / 2) % k == 0:
count += 1
return count
<|end_body_0|>
<|body_start_1|>
count, k = (1, 2)
while N > k * (k - 1) // 2:
if (N - k * (k - 1) / 2) % k ... | The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can calculate the RHS for ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
"""The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)... | stack_v2_sparse_classes_36k_train_017697 | 1,644 | no_license | [
{
"docstring": ":type N: int :rtype: int",
"name": "consecutiveNumbersSum",
"signature": "def consecutiveNumbersSum(self, N)"
},
{
"docstring": ":type N: int :rtype: int",
"name": "consecutiveNumbersSum",
"signature": "def consecutiveNumbersSum(self, N)"
}
] | 2 | stack_v2_sparse_classes_30k_train_009267 | Implement the Python class `Solution` described below.
Class description:
The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx +... | Implement the Python class `Solution` described below.
Class description:
The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx +... | d953abe2c9680f636563e76287d2f907e90ced63 | <|skeleton|>
class Solution:
"""The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
"""The thought process goes like this- Given a number N, we can possibly write it as a sum of 2 numbers, 3 numbers, 4 numbers and so on. Let's assume the fist number in this series be x. Hence, we should have x + (x+1) + (x+2)+...+ k terms = N kx + k*(k-1)/2 = N implies kx = N - k*(k-1)/2 So, we can... | the_stack_v2_python_sparse | python_leetcode_2020/Python_Leetcode_2020/829_consecutive_numbers_sum.py | xiangcao/Leetcode | train | 0 |
b24bc996a6cadcfdf626a2b94047cd4a7ae1827b | [
"import functools\nl_num = len(nums)\nnums = list(map(str, nums))\ncmp = lambda a, b: -1 if a + b > b + a else 1 if a + b < b + a else 0\nnums.sort(key=functools.cmp_to_key(cmp))\nreturn str(int(''.join(nums)))",
"l_num = len(nums)\nnums = list(map(str, nums))\nfor i in range(l_num):\n for j in range(0, l_num ... | <|body_start_0|>
import functools
l_num = len(nums)
nums = list(map(str, nums))
cmp = lambda a, b: -1 if a + b > b + a else 1 if a + b < b + a else 0
nums.sort(key=functools.cmp_to_key(cmp))
return str(int(''.join(nums)))
<|end_body_0|>
<|body_start_1|>
l_num = l... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def largestNumber(self, nums):
""":type nums: List[int] :rtype: str"""
<|body_0|>
def largestNumberScratch(self, nums):
""":type nums: List[int] :rtype: str"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
import functools
l_num = l... | stack_v2_sparse_classes_36k_train_017698 | 1,042 | no_license | [
{
"docstring": ":type nums: List[int] :rtype: str",
"name": "largestNumber",
"signature": "def largestNumber(self, nums)"
},
{
"docstring": ":type nums: List[int] :rtype: str",
"name": "largestNumberScratch",
"signature": "def largestNumberScratch(self, nums)"
}
] | 2 | stack_v2_sparse_classes_30k_train_007904 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestNumber(self, nums): :type nums: List[int] :rtype: str
- def largestNumberScratch(self, nums): :type nums: List[int] :rtype: str | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def largestNumber(self, nums): :type nums: List[int] :rtype: str
- def largestNumberScratch(self, nums): :type nums: List[int] :rtype: str
<|skeleton|>
class Solution:
def ... | ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd | <|skeleton|>
class Solution:
def largestNumber(self, nums):
""":type nums: List[int] :rtype: str"""
<|body_0|>
def largestNumberScratch(self, nums):
""":type nums: List[int] :rtype: str"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def largestNumber(self, nums):
""":type nums: List[int] :rtype: str"""
import functools
l_num = len(nums)
nums = list(map(str, nums))
cmp = lambda a, b: -1 if a + b > b + a else 1 if a + b < b + a else 0
nums.sort(key=functools.cmp_to_key(cmp))
... | the_stack_v2_python_sparse | cs_notes/sort/largest_number.py | hwc1824/LeetCodeSolution | train | 0 | |
49bc9e21fff296ba1b4a870c8f6f984a1b0b7601 | [
"user_id = 'test'\ngt = GeetestLib(settings.GEETEST['pc_geetest_id'], settings.GEETEST['pc_geetest_key'])\nstatus = gt.pre_process(user_id)\nresponse_str = gt.get_response_str()\nimport json\nresponse = json.loads(response_str)\nreturn Response(response)",
"gt = GeetestLib(settings.GEETEST['pc_geetest_id'], setti... | <|body_start_0|>
user_id = 'test'
gt = GeetestLib(settings.GEETEST['pc_geetest_id'], settings.GEETEST['pc_geetest_key'])
status = gt.pre_process(user_id)
response_str = gt.get_response_str()
import json
response = json.loads(response_str)
return Response(response)... | GeetestCapchaAPIView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GeetestCapchaAPIView:
def get(self, request):
"""生成验证码的流水号"""
<|body_0|>
def post(self, request):
"""校验验证码的结果"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
user_id = 'test'
gt = GeetestLib(settings.GEETEST['pc_geetest_id'], settings.GEETES... | stack_v2_sparse_classes_36k_train_017699 | 14,869 | no_license | [
{
"docstring": "生成验证码的流水号",
"name": "get",
"signature": "def get(self, request)"
},
{
"docstring": "校验验证码的结果",
"name": "post",
"signature": "def post(self, request)"
}
] | 2 | stack_v2_sparse_classes_30k_train_003510 | Implement the Python class `GeetestCapchaAPIView` described below.
Class description:
Implement the GeetestCapchaAPIView class.
Method signatures and docstrings:
- def get(self, request): 生成验证码的流水号
- def post(self, request): 校验验证码的结果 | Implement the Python class `GeetestCapchaAPIView` described below.
Class description:
Implement the GeetestCapchaAPIView class.
Method signatures and docstrings:
- def get(self, request): 生成验证码的流水号
- def post(self, request): 校验验证码的结果
<|skeleton|>
class GeetestCapchaAPIView:
def get(self, request):
"""生成... | 8e551d417b6ba0143bd9636a85ea46ebaba944f4 | <|skeleton|>
class GeetestCapchaAPIView:
def get(self, request):
"""生成验证码的流水号"""
<|body_0|>
def post(self, request):
"""校验验证码的结果"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GeetestCapchaAPIView:
def get(self, request):
"""生成验证码的流水号"""
user_id = 'test'
gt = GeetestLib(settings.GEETEST['pc_geetest_id'], settings.GEETEST['pc_geetest_key'])
status = gt.pre_process(user_id)
response_str = gt.get_response_str()
import json
respon... | the_stack_v2_python_sparse | Recruitment/apps/user/views.py | tkhto/Recruitment | train | 0 |
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