blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 7.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
value | full_text stringlengths 378 8.64k | id stringlengths 44 44 | length_bytes int64 505 50k | license_type stringclasses 2
values | methods listlengths 2 6 | n_methods int64 2 6 | original_id stringlengths 38 40 ⌀ | prompt stringlengths 153 4.88k | prompted_full_text stringlengths 565 12.5k | revision_id stringlengths 40 40 | skeleton stringlengths 162 5.05k | snapshot_name stringclasses 1
value | snapshot_source_dir stringclasses 1
value | snapshot_total_rows int64 75.8k 75.8k | solution stringlengths 242 8.3k | source stringclasses 1
value | source_path stringlengths 4 177 | source_repo stringlengths 6 110 | split stringclasses 1
value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
7b4c84e7a777047ad31b565d2f977cff2a792be6 | [
"choices = choices.split(',')\nif len(choices) <= 1:\n raise commands.UserInputError('Not enough choices! Separate choices with commas, e.g. `choose A cat, A bear, A python`')\nfor index in range(0, len(choices)):\n choices[index] = choices[index].strip()\nif len(set(choices)) == 1:\n raise commands.UserIn... | <|body_start_0|>
choices = choices.split(',')
if len(choices) <= 1:
raise commands.UserInputError('Not enough choices! Separate choices with commas, e.g. `choose A cat, A bear, A python`')
for index in range(0, len(choices)):
choices[index] = choices[index].strip()
... | Commands that give the bot's opinion on something. | Opinions | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Opinions:
"""Commands that give the bot's opinion on something."""
async def choose(self, ctx, *, choices=''):
"""Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z."""
<|body_0|>
async def ratewaifu(self, ctx, *, user: d... | stack_v2_sparse_classes_75kplus_train_074600 | 2,955 | permissive | [
{
"docstring": "Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z.",
"name": "choose",
"signature": "async def choose(self, ctx, *, choices='')"
},
{
"docstring": "Rate a user's waifu-ness. * user - The user to be rated.",
"name": "ratewaifu... | 2 | stack_v2_sparse_classes_30k_train_040963 | Implement the Python class `Opinions` described below.
Class description:
Commands that give the bot's opinion on something.
Method signatures and docstrings:
- async def choose(self, ctx, *, choices=''): Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z.
- async def... | Implement the Python class `Opinions` described below.
Class description:
Commands that give the bot's opinion on something.
Method signatures and docstrings:
- async def choose(self, ctx, *, choices=''): Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z.
- async def... | 3a456ad06814181d13d4aabefc151756c55444f4 | <|skeleton|>
class Opinions:
"""Commands that give the bot's opinion on something."""
async def choose(self, ctx, *, choices=''):
"""Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z."""
<|body_0|>
async def ratewaifu(self, ctx, *, user: d... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Opinions:
"""Commands that give the bot's opinion on something."""
async def choose(self, ctx, *, choices=''):
"""Choose between one of various supplied things. Syntax: * choose x, y, z - Choose between x, y, and z."""
choices = choices.split(',')
if len(choices) <= 1:
... | the_stack_v2_python_sparse | cogs/opinions.py | sokcheng/Kitsuchan-NG | train | 1 |
44a34a1cd9914d512848c2c1ed61e93fb350fc2b | [
"session = DBConnect().getSession()\ntry:\n fundList = session.query(Fund).all()\n return fundList\nexcept InvalidRequestError:\n session.rollback()\n return False\nexcept Exception as e:\n logging.error(e)\n return False\nfinally:\n print('关闭session')\n session.close()",
"session = DBConn... | <|body_start_0|>
session = DBConnect().getSession()
try:
fundList = session.query(Fund).all()
return fundList
except InvalidRequestError:
session.rollback()
return False
except Exception as e:
logging.error(e)
return... | FundRepository | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FundRepository:
def getFundList(cls):
"""获取fund列表"""
<|body_0|>
def addCross(cls, fund):
"""添加cross信息"""
<|body_1|>
def updateCross(cls, fund):
"""更新cross信息"""
<|body_2|>
def getFundById(cls, id):
"""获取fund信息"""
<|bod... | stack_v2_sparse_classes_75kplus_train_074601 | 2,835 | no_license | [
{
"docstring": "获取fund列表",
"name": "getFundList",
"signature": "def getFundList(cls)"
},
{
"docstring": "添加cross信息",
"name": "addCross",
"signature": "def addCross(cls, fund)"
},
{
"docstring": "更新cross信息",
"name": "updateCross",
"signature": "def updateCross(cls, fund)"
... | 5 | stack_v2_sparse_classes_30k_val_001172 | Implement the Python class `FundRepository` described below.
Class description:
Implement the FundRepository class.
Method signatures and docstrings:
- def getFundList(cls): 获取fund列表
- def addCross(cls, fund): 添加cross信息
- def updateCross(cls, fund): 更新cross信息
- def getFundById(cls, id): 获取fund信息
- def deleteFundById(... | Implement the Python class `FundRepository` described below.
Class description:
Implement the FundRepository class.
Method signatures and docstrings:
- def getFundList(cls): 获取fund列表
- def addCross(cls, fund): 添加cross信息
- def updateCross(cls, fund): 更新cross信息
- def getFundById(cls, id): 获取fund信息
- def deleteFundById(... | b59aa7f6e9f2be3ebf90f11cb8bdcbfb47cfbda9 | <|skeleton|>
class FundRepository:
def getFundList(cls):
"""获取fund列表"""
<|body_0|>
def addCross(cls, fund):
"""添加cross信息"""
<|body_1|>
def updateCross(cls, fund):
"""更新cross信息"""
<|body_2|>
def getFundById(cls, id):
"""获取fund信息"""
<|bod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FundRepository:
def getFundList(cls):
"""获取fund列表"""
session = DBConnect().getSession()
try:
fundList = session.query(Fund).all()
return fundList
except InvalidRequestError:
session.rollback()
return False
except Exception... | the_stack_v2_python_sparse | repository/FundRepository.py | Zbl1007/wechat_and_fund__for_handsome | train | 4 | |
f566e586deb45031b1ca6f316e5f706fa765db5c | [
"self = object.__new__(cls)\nself.name = value\nself.value = value\nself.metadata_type = RoleManagerMetadataBase\nreturn self",
"self.name = name\nself.value = value\nself.metadata_type = metadata_type\nself.INSTANCES[value] = self",
"if self.value:\n boolean = True\nelse:\n boolean = False\nreturn boolea... | <|body_start_0|>
self = object.__new__(cls)
self.name = value
self.value = value
self.metadata_type = RoleManagerMetadataBase
return self
<|end_body_0|>
<|body_start_1|>
self.name = name
self.value = value
self.metadata_type = metadata_type
self.I... | Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``RoleManagerType``) items Stores the predefined ``RoleManagerType``-s. These can be a... | RoleManagerType | [
"LicenseRef-scancode-warranty-disclaimer"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RoleManagerType:
"""Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``RoleManagerType``) items Stores the prede... | stack_v2_sparse_classes_75kplus_train_074602 | 5,532 | permissive | [
{
"docstring": "Creates a new role manager type with the given value. Parameters ---------- value : `int` Value representing the role manager. Returns ------- self : `instance<cls>`",
"name": "_from_value",
"signature": "def _from_value(cls, value)"
},
{
"docstring": "Creates a new scheduled eve... | 3 | stack_v2_sparse_classes_30k_train_040966 | Implement the Python class `RoleManagerType` described below.
Class description:
Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``Ro... | Implement the Python class `RoleManagerType` described below.
Class description:
Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``Ro... | 53f24fdb38459dc5a4fd04f11bdbfee8295b76a4 | <|skeleton|>
class RoleManagerType:
"""Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``RoleManagerType``) items Stores the prede... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RoleManagerType:
"""Represents a managed role's manager type. Attributes ---------- name : `str` The name of the role manager type. value : `int` The identifier value the role manager type. Class Attributes ---------------- INSTANCES : `dict` of (`int`, ``RoleManagerType``) items Stores the predefined ``RoleM... | the_stack_v2_python_sparse | hata/discord/role/role/preinstanced.py | HuyaneMatsu/hata | train | 3 |
fb63a824c4bf5f1ab1b465f2c9269fa7ccd1568c | [
"need, missing = (collections.Counter(t), len(t))\ncur_left = res_left = res_right = 0\nfor cur_right, c in enumerate(s, 1):\n missing -= need[c] > 0\n need[c] -= 1\n if not missing:\n while cur_left < cur_right and need[s[cur_left]] < 0:\n need[s[cur_left]] += 1\n cur_left += ... | <|body_start_0|>
need, missing = (collections.Counter(t), len(t))
cur_left = res_left = res_right = 0
for cur_right, c in enumerate(s, 1):
missing -= need[c] > 0
need[c] -= 1
if not missing:
while cur_left < cur_right and need[s[cur_left]] < 0:... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def minWindow(self, s, t):
""":type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how many times I need character c (can be negative) and missing tells how many characters are still mis... | stack_v2_sparse_classes_75kplus_train_074603 | 2,478 | no_license | [
{
"docstring": ":type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how many times I need character c (can be negative) and missing tells how many characters are still missing. In the loop, first add the new character t... | 2 | stack_v2_sparse_classes_30k_train_012463 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minWindow(self, s, t): :type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how ma... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def minWindow(self, s, t): :type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how ma... | 7e0e917c15d3e35f49da3a00ef395bd5ff180d79 | <|skeleton|>
class Solution:
def minWindow(self, s, t):
""":type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how many times I need character c (can be negative) and missing tells how many characters are still mis... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def minWindow(self, s, t):
""":type s: str :type t: str :rtype: str current window is s[cur_left:cur_right] and the result window is s[res_left:res_right]. In need[c] I store how many times I need character c (can be negative) and missing tells how many characters are still missing. In the l... | the_stack_v2_python_sparse | LeetCode/076_minimum_window_substring.py | yao23/Machine_Learning_Playground | train | 12 | |
54ca611fca0b0a4aa66e57a06d4e3a2d36c25606 | [
"gen_hash = archive_util.ArchiveHash(ArchiveUtilTest.FILE_CONTENT)\ngen_hash_mod = archive_util.ArchiveHash(ArchiveUtilTest.FILE_CONTENT_MOD)\nself.assertEqual(gen_hash, ArchiveUtilTest.FILE_CONTENT_MD5)\nself.assertNotEqual(gen_hash_mod, ArchiveUtilTest.FILE_CONTENT_MD5)",
"archive_zip = archive_util.ArchiveComp... | <|body_start_0|>
gen_hash = archive_util.ArchiveHash(ArchiveUtilTest.FILE_CONTENT)
gen_hash_mod = archive_util.ArchiveHash(ArchiveUtilTest.FILE_CONTENT_MOD)
self.assertEqual(gen_hash, ArchiveUtilTest.FILE_CONTENT_MD5)
self.assertNotEqual(gen_hash_mod, ArchiveUtilTest.FILE_CONTENT_MD5)
<|... | Tests for helpers/archive_util.py. | ArchiveUtilTest | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArchiveUtilTest:
"""Tests for helpers/archive_util.py."""
def testArchiveHash(self):
"""Test the hash. This test will fail if the type of hash generated changes."""
<|body_0|>
def testArchiveCompress(self):
"""Test the compression. This test will fail if the type... | stack_v2_sparse_classes_75kplus_train_074604 | 2,262 | permissive | [
{
"docstring": "Test the hash. This test will fail if the type of hash generated changes.",
"name": "testArchiveHash",
"signature": "def testArchiveHash(self)"
},
{
"docstring": "Test the compression. This test will fail if the type of compression or the type of hash generated changes. The hash ... | 2 | stack_v2_sparse_classes_30k_train_054524 | Implement the Python class `ArchiveUtilTest` described below.
Class description:
Tests for helpers/archive_util.py.
Method signatures and docstrings:
- def testArchiveHash(self): Test the hash. This test will fail if the type of hash generated changes.
- def testArchiveCompress(self): Test the compression. This test ... | Implement the Python class `ArchiveUtilTest` described below.
Class description:
Tests for helpers/archive_util.py.
Method signatures and docstrings:
- def testArchiveHash(self): Test the hash. This test will fail if the type of hash generated changes.
- def testArchiveCompress(self): Test the compression. This test ... | 9277f9e0623eafe9a2f2cd387f3a2f0dfa9b94ba | <|skeleton|>
class ArchiveUtilTest:
"""Tests for helpers/archive_util.py."""
def testArchiveHash(self):
"""Test the hash. This test will fail if the type of hash generated changes."""
<|body_0|>
def testArchiveCompress(self):
"""Test the compression. This test will fail if the type... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ArchiveUtilTest:
"""Tests for helpers/archive_util.py."""
def testArchiveHash(self):
"""Test the hash. This test will fail if the type of hash generated changes."""
gen_hash = archive_util.ArchiveHash(ArchiveUtilTest.FILE_CONTENT)
gen_hash_mod = archive_util.ArchiveHash(ArchiveUti... | the_stack_v2_python_sparse | server/gspeedometer/helpers/archive_util_test.py | Bugbustrs/bugb-mobiperf | train | 0 |
ca69125610caffbe1d74cd51038584422126dafe | [
"self.__compressor = ParserCompressor(compressor_type)\nself.__parser_server = parser_server\nself.__timeout = int(timeout)",
"data = {'action': 'parse', 'html': unicode(text)}\njdata = json.dumps(data)\ncdata = self.__compressor.compress(jdata)\ntry:\n result = requests.post(self.__parser_server, cdata, timeo... | <|body_start_0|>
self.__compressor = ParserCompressor(compressor_type)
self.__parser_server = parser_server
self.__timeout = int(timeout)
<|end_body_0|>
<|body_start_1|>
data = {'action': 'parse', 'html': unicode(text)}
jdata = json.dumps(data)
cdata = self.__compressor.... | ParserClient | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ParserClient:
def __init__(self, parser_server, compressor_type=ParserCompressor.PARSER_ZLIB, timeout=10):
"""Instance of parser client :param string parser_server: url of parser :param string compressor_type: type of string compressor. @see ParserCompressor :param int timeout: connectio... | stack_v2_sparse_classes_75kplus_train_074605 | 3,112 | no_license | [
{
"docstring": "Instance of parser client :param string parser_server: url of parser :param string compressor_type: type of string compressor. @see ParserCompressor :param int timeout: connection timeout",
"name": "__init__",
"signature": "def __init__(self, parser_server, compressor_type=ParserCompress... | 2 | stack_v2_sparse_classes_30k_train_052262 | Implement the Python class `ParserClient` described below.
Class description:
Implement the ParserClient class.
Method signatures and docstrings:
- def __init__(self, parser_server, compressor_type=ParserCompressor.PARSER_ZLIB, timeout=10): Instance of parser client :param string parser_server: url of parser :param s... | Implement the Python class `ParserClient` described below.
Class description:
Implement the ParserClient class.
Method signatures and docstrings:
- def __init__(self, parser_server, compressor_type=ParserCompressor.PARSER_ZLIB, timeout=10): Instance of parser client :param string parser_server: url of parser :param s... | 7beb2e7db9fe9fb51834d3e633ddfd126391dcf2 | <|skeleton|>
class ParserClient:
def __init__(self, parser_server, compressor_type=ParserCompressor.PARSER_ZLIB, timeout=10):
"""Instance of parser client :param string parser_server: url of parser :param string compressor_type: type of string compressor. @see ParserCompressor :param int timeout: connectio... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ParserClient:
def __init__(self, parser_server, compressor_type=ParserCompressor.PARSER_ZLIB, timeout=10):
"""Instance of parser client :param string parser_server: url of parser :param string compressor_type: type of string compressor. @see ParserCompressor :param int timeout: connection timeout"""
... | the_stack_v2_python_sparse | pkg/parser_client/client.py | ygavenchuk/code_samples_py | train | 0 | |
ddf37877c7d17d389f42ff1651129f159edc0a06 | [
"dataseries.VoxelDataSeries.__init__(self, *args, **kwargs)\nif self.overlay.ndim < 4:\n raise ValueError('Overlay is not a 4D image')",
"data = dataseries.VoxelDataSeries.currentVoxelData(self, location)\ndata = calcPowerSpectrum(data)\nreturn data",
"overlay = self.overlay\nydata = self.dataAtCurrentVoxel(... | <|body_start_0|>
dataseries.VoxelDataSeries.__init__(self, *args, **kwargs)
if self.overlay.ndim < 4:
raise ValueError('Overlay is not a 4D image')
<|end_body_0|>
<|body_start_1|>
data = dataseries.VoxelDataSeries.currentVoxelData(self, location)
data = calcPowerSpectrum(dat... | The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property. | VoxelPowerSpectrumSeries | [
"Apache-2.0",
"CC-BY-3.0",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VoxelPowerSpectrumSeries:
"""The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property."""
def __init__(self, *args, **kwargs):
"""Create a ``Voxel... | stack_v2_sparse_classes_75kplus_train_074606 | 19,177 | permissive | [
{
"docstring": "Create a ``VoxelPowerSpectrumSeries``. All arguments are passed to the :meth:`VoxelDataSeries.__init__` method. A :exc:`ValueError` is raised if the overlay is not a 4D :class:`.Image`.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Ov... | 3 | stack_v2_sparse_classes_30k_test_001635 | Implement the Python class `VoxelPowerSpectrumSeries` described below.
Class description:
The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property.
Method signatures and docstrings... | Implement the Python class `VoxelPowerSpectrumSeries` described below.
Class description:
The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property.
Method signatures and docstrings... | 37b45d034d60660b6de3e4bdf5dd6349ed6d853b | <|skeleton|>
class VoxelPowerSpectrumSeries:
"""The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property."""
def __init__(self, *args, **kwargs):
"""Create a ``Voxel... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VoxelPowerSpectrumSeries:
"""The ``VoxelPowerSpectrumSeries`` class encapsulates the power spectrum of a single voxel from a 4D :class:`.Image` overlay. The voxel is dictated by the :attr:`.DisplayContext.location` property."""
def __init__(self, *args, **kwargs):
"""Create a ``VoxelPowerSpectrum... | the_stack_v2_python_sparse | fsleyes/plotting/powerspectrumseries.py | CGSchwarzMayo/fsleyes | train | 0 |
8a9ccd5f07c2a995a3afdf3369c4a27b81cdff6f | [
"if not (api_utils.check_user_is_foundation_admin() or api_utils.check_user_is_vendor_admin(vendor_id)):\n return None\norg_users = db.get_organization_users(vendor_id)\nreturn [x for x in six.itervalues(org_users)]",
"openid = base64.b64decode(openid)\nif not (api_utils.check_user_is_foundation_admin() or api... | <|body_start_0|>
if not (api_utils.check_user_is_foundation_admin() or api_utils.check_user_is_vendor_admin(vendor_id)):
return None
org_users = db.get_organization_users(vendor_id)
return [x for x in six.itervalues(org_users)]
<|end_body_0|>
<|body_start_1|>
openid = base64... | /v1/vendors/<vendor_id>/users handler. | UsersController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UsersController:
"""/v1/vendors/<vendor_id>/users handler."""
def get(self, vendor_id):
"""Return list of users in the vendor's group."""
<|body_0|>
def put(self, vendor_id, openid):
"""Add user to vendor group."""
<|body_1|>
def delete(self, vendor_... | stack_v2_sparse_classes_75kplus_train_074607 | 11,223 | permissive | [
{
"docstring": "Return list of users in the vendor's group.",
"name": "get",
"signature": "def get(self, vendor_id)"
},
{
"docstring": "Add user to vendor group.",
"name": "put",
"signature": "def put(self, vendor_id, openid)"
},
{
"docstring": "Remove user from vendor group.",
... | 3 | stack_v2_sparse_classes_30k_train_044424 | Implement the Python class `UsersController` described below.
Class description:
/v1/vendors/<vendor_id>/users handler.
Method signatures and docstrings:
- def get(self, vendor_id): Return list of users in the vendor's group.
- def put(self, vendor_id, openid): Add user to vendor group.
- def delete(self, vendor_id, ... | Implement the Python class `UsersController` described below.
Class description:
/v1/vendors/<vendor_id>/users handler.
Method signatures and docstrings:
- def get(self, vendor_id): Return list of users in the vendor's group.
- def put(self, vendor_id, openid): Add user to vendor group.
- def delete(self, vendor_id, ... | 0af3a46e16037d13695ef74d35d2ef5909186d97 | <|skeleton|>
class UsersController:
"""/v1/vendors/<vendor_id>/users handler."""
def get(self, vendor_id):
"""Return list of users in the vendor's group."""
<|body_0|>
def put(self, vendor_id, openid):
"""Add user to vendor group."""
<|body_1|>
def delete(self, vendor_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UsersController:
"""/v1/vendors/<vendor_id>/users handler."""
def get(self, vendor_id):
"""Return list of users in the vendor's group."""
if not (api_utils.check_user_is_foundation_admin() or api_utils.check_user_is_vendor_admin(vendor_id)):
return None
org_users = db.... | the_stack_v2_python_sparse | refstack/api/controllers/vendors.py | openstack-archive/refstack | train | 0 |
d371197f3159147201db5b20c8b839c4526c1bee | [
"self.X = X\nself.Y = Y\nself.K = np.array(K)\nif self.K.shape[0] == 0:\n k = np.ones(self.X.shape[1]) * 0.0001\n self.K = np.diag(k)\nelif self.K.shape[0] != self.X.shape[1]:\n raise ValueError('Precision matrix shape, %i does not match feature matrix shape, %i' % (self.K.shape[0], self.X.shape[1]))",
"... | <|body_start_0|>
self.X = X
self.Y = Y
self.K = np.array(K)
if self.K.shape[0] == 0:
k = np.ones(self.X.shape[1]) * 0.0001
self.K = np.diag(k)
elif self.K.shape[0] != self.X.shape[1]:
raise ValueError('Precision matrix shape, %i does not match ... | This class fits linear models using bayesian and frequentist methods to data sets | linear_model | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class linear_model:
"""This class fits linear models using bayesian and frequentist methods to data sets"""
def __init__(self, X, Y, K=[]):
"""Parameters ---------- X: float feature matrix Y: float response vector K: float, optional precision matrix for multivariate normal prior on beta if... | stack_v2_sparse_classes_75kplus_train_074608 | 2,265 | no_license | [
{
"docstring": "Parameters ---------- X: float feature matrix Y: float response vector K: float, optional precision matrix for multivariate normal prior on beta if not specified, sets a low precision, approximating the frequentist fit Raises ------ ValueError If precision matrix shape does not match shape of fe... | 3 | stack_v2_sparse_classes_30k_train_054239 | Implement the Python class `linear_model` described below.
Class description:
This class fits linear models using bayesian and frequentist methods to data sets
Method signatures and docstrings:
- def __init__(self, X, Y, K=[]): Parameters ---------- X: float feature matrix Y: float response vector K: float, optional ... | Implement the Python class `linear_model` described below.
Class description:
This class fits linear models using bayesian and frequentist methods to data sets
Method signatures and docstrings:
- def __init__(self, X, Y, K=[]): Parameters ---------- X: float feature matrix Y: float response vector K: float, optional ... | 4b129e169c68b6db87f88fc80c7a703d3710beca | <|skeleton|>
class linear_model:
"""This class fits linear models using bayesian and frequentist methods to data sets"""
def __init__(self, X, Y, K=[]):
"""Parameters ---------- X: float feature matrix Y: float response vector K: float, optional precision matrix for multivariate normal prior on beta if... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class linear_model:
"""This class fits linear models using bayesian and frequentist methods to data sets"""
def __init__(self, X, Y, K=[]):
"""Parameters ---------- X: float feature matrix Y: float response vector K: float, optional precision matrix for multivariate normal prior on beta if not specifie... | the_stack_v2_python_sparse | scripts/linear_models.py | janmichaelcabrera/SDS383D | train | 0 |
20c96b2a15f9417079d418617824268e151a5b0a | [
"if not root:\n return ''\nres = str(root.val)\nif len(root.children) != 0:\n children_res = []\n for child in root.children:\n children_res.append(self.serialize(child))\n res = res + '[' + ' '.join(children_res) + ']'\nreturn res",
"if len(data) == 0:\n return None\nstart = data.find('[')\... | <|body_start_0|>
if not root:
return ''
res = str(root.val)
if len(root.children) != 0:
children_res = []
for child in root.children:
children_res.append(self.serialize(child))
res = res + '[' + ' '.join(children_res) + ']'
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|... | stack_v2_sparse_classes_75kplus_train_074609 | 1,698 | no_license | [
{
"docstring": "Encodes a tree to a single string. :type root: Node :rtype: str",
"name": "serialize",
"signature": "def serialize(self, root)"
},
{
"docstring": "Decodes your encoded data to tree. :type data: str :rtype: Node",
"name": "deserialize",
"signature": "def deserialize(self, ... | 2 | stack_v2_sparse_classes_30k_train_029949 | 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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Nod... | 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: Node :rtype: str
- def deserialize(self, data): Decodes your encoded data to tree. :type data: str :rtype: Nod... | d87acd5481a2dbfad7288b73750e6e086650a17d | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: Node"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: Node :rtype: str"""
if not root:
return ''
res = str(root.val)
if len(root.children) != 0:
children_res = []
for child in root.children:
child... | the_stack_v2_python_sparse | 428. Serialize and Deserialize N-ary Tree/428. Serialize and Deserialize N-ary Tree(AC).py | BohaoLiGithub/Leetcode | train | 0 | |
7a36aaf857a5828099e7d592894ea8df7b8f3cd4 | [
"for li in list:\n if re.search(content, li.text):\n continue\n else:\n return False",
"x = []\nfor li in list:\n if re.search(text, li.text):\n x.append(True)\n else:\n x.append(False)\na = False\nreturn not a in x"
] | <|body_start_0|>
for li in list:
if re.search(content, li.text):
continue
else:
return False
<|end_body_0|>
<|body_start_1|>
x = []
for li in list:
if re.search(text, li.text):
x.append(True)
else:
... | SuperQueryFormPage | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SuperQueryFormPage:
def judge_search_content_inlist(self, list, content):
"""判断输入内容搜索后是否成功"""
<|body_0|>
def judge_search_text_inlist(self, list, text):
"""判断输入内容搜索后是否成功"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for li in list:
if ... | stack_v2_sparse_classes_75kplus_train_074610 | 7,799 | no_license | [
{
"docstring": "判断输入内容搜索后是否成功",
"name": "judge_search_content_inlist",
"signature": "def judge_search_content_inlist(self, list, content)"
},
{
"docstring": "判断输入内容搜索后是否成功",
"name": "judge_search_text_inlist",
"signature": "def judge_search_text_inlist(self, list, text)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001380 | Implement the Python class `SuperQueryFormPage` described below.
Class description:
Implement the SuperQueryFormPage class.
Method signatures and docstrings:
- def judge_search_content_inlist(self, list, content): 判断输入内容搜索后是否成功
- def judge_search_text_inlist(self, list, text): 判断输入内容搜索后是否成功 | Implement the Python class `SuperQueryFormPage` described below.
Class description:
Implement the SuperQueryFormPage class.
Method signatures and docstrings:
- def judge_search_content_inlist(self, list, content): 判断输入内容搜索后是否成功
- def judge_search_text_inlist(self, list, text): 判断输入内容搜索后是否成功
<|skeleton|>
class SuperQ... | 78768989a79a14013b983024cf6e4838d51ed595 | <|skeleton|>
class SuperQueryFormPage:
def judge_search_content_inlist(self, list, content):
"""判断输入内容搜索后是否成功"""
<|body_0|>
def judge_search_text_inlist(self, list, text):
"""判断输入内容搜索后是否成功"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SuperQueryFormPage:
def judge_search_content_inlist(self, list, content):
"""判断输入内容搜索后是否成功"""
for li in list:
if re.search(content, li.text):
continue
else:
return False
def judge_search_text_inlist(self, list, text):
"""判断输入... | the_stack_v2_python_sparse | test_case/page_obj/view/queryform_list_view_page.py | pylk/pythonSelenium | train | 0 | |
6aea1337a2ef6d8c9615c81f0785b27608243a9c | [
"raw = self.session.get(f'{self.host}/{id}')\nsoup = self.soup(raw)\nmeta = self.MetaSet()\ncontent = soup.find(class_='post-single-content')\nmeta.register(None, content.text)\nmeta['image'] = soup.find('img', class_='alignnone')['src']\nmeta['judul'] = soup.title.text.split('Subtitle')[0]\nmeta.setItem('romaji', ... | <|body_start_0|>
raw = self.session.get(f'{self.host}/{id}')
soup = self.soup(raw)
meta = self.MetaSet()
content = soup.find(class_='post-single-content')
meta.register(None, content.text)
meta['image'] = soup.find('img', class_='alignnone')['src']
meta['judul'] =... | Drivenime | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Drivenime:
def extract_meta(self, id: str) -> dict:
"""Ambil semua metadata dari halaman web Args: id: type 'str'"""
<|body_0|>
def extract_data(self, id: str) -> dict:
"""Ambil semua situs unduhan dari halaman web Args: id: jalur url dimulai setelah host, type 'str'... | stack_v2_sparse_classes_75kplus_train_074611 | 3,102 | permissive | [
{
"docstring": "Ambil semua metadata dari halaman web Args: id: type 'str'",
"name": "extract_meta",
"signature": "def extract_meta(self, id: str) -> dict"
},
{
"docstring": "Ambil semua situs unduhan dari halaman web Args: id: jalur url dimulai setelah host, type 'str'",
"name": "extract_da... | 3 | stack_v2_sparse_classes_30k_val_001606 | Implement the Python class `Drivenime` described below.
Class description:
Implement the Drivenime class.
Method signatures and docstrings:
- def extract_meta(self, id: str) -> dict: Ambil semua metadata dari halaman web Args: id: type 'str'
- def extract_data(self, id: str) -> dict: Ambil semua situs unduhan dari ha... | Implement the Python class `Drivenime` described below.
Class description:
Implement the Drivenime class.
Method signatures and docstrings:
- def extract_meta(self, id: str) -> dict: Ambil semua metadata dari halaman web Args: id: type 'str'
- def extract_data(self, id: str) -> dict: Ambil semua situs unduhan dari ha... | 7aef096a6fd549ae7ab11092470609518371b10a | <|skeleton|>
class Drivenime:
def extract_meta(self, id: str) -> dict:
"""Ambil semua metadata dari halaman web Args: id: type 'str'"""
<|body_0|>
def extract_data(self, id: str) -> dict:
"""Ambil semua situs unduhan dari halaman web Args: id: jalur url dimulai setelah host, type 'str'... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Drivenime:
def extract_meta(self, id: str) -> dict:
"""Ambil semua metadata dari halaman web Args: id: type 'str'"""
raw = self.session.get(f'{self.host}/{id}')
soup = self.soup(raw)
meta = self.MetaSet()
content = soup.find(class_='post-single-content')
meta.re... | the_stack_v2_python_sparse | lk21/extractors/drivenime.py | JawsKen98/lk21 | train | 0 | |
325629fb7e740c1288b401ac885bb7997ad22003 | [
"Deferred.__init__(self, 'axes(%ld,%ld)' % (row, col))\nself.row = row\nself.col = col\nself.title = title\nself.plots = {}\nself.kwargs = kwargs\nself.ax = None",
"assert self.ax is None, 'Internal error; function called twice?'\nnum = 1 + self.col + self.row * cols\nself.ax = fig.add_subplot(rows, cols, num, **... | <|body_start_0|>
Deferred.__init__(self, 'axes(%ld,%ld)' % (row, col))
self.row = row
self.col = col
self.title = title
self.plots = {}
self.kwargs = kwargs
self.ax = None
<|end_body_0|>
<|body_start_1|>
assert self.ax is None, 'Internal error; function c... | Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep working in deferred mode. figure.render() Example ------- fig = figure() ax = ... | DynamicAx | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DynamicAx:
"""Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep working in deferred mode. figure.render()... | stack_v2_sparse_classes_75kplus_train_074612 | 16,719 | permissive | [
{
"docstring": "Creates internal object which defers the creation of various graphics to a later point",
"name": "__init__",
"signature": "def __init__(self, row: int, col: int, title: str, kwargs: dict)"
},
{
"docstring": "Creates the plot by calling all 'caught' functions calls in sequece",
... | 2 | stack_v2_sparse_classes_30k_train_028183 | Implement the Python class `DynamicAx` described below.
Class description:
Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep wo... | Implement the Python class `DynamicAx` described below.
Class description:
Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep wo... | bca73adeecdbf71a1f5ee466ded67d6c1ed4e94d | <|skeleton|>
class DynamicAx:
"""Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep working in deferred mode. figure.render()... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DynamicAx:
"""Wrapper around an matplotlib axis returned by DynamicFig, which is returned by figure(). All calls to the returned axis are delegated to matplotlib. The results of deferred function calls are again deferred objects, allowing (mostly) to keep working in deferred mode. figure.render() Example ----... | the_stack_v2_python_sparse | cdxbasics/dynaplot.py | hansbuehler/cdxbasics | train | 2 |
82e68218f89e73b323abc0a0de2a2046b7f7d007 | [
"wx.Frame.__init__(self, parent, title=title, size=(300, 200))\nvbox = wx.BoxSizer(wx.VERTICAL)\nstartButton = wx.Button(self, label='Start!')\nvbox.Add(startButton)\nself.SetSizer(vbox)\nself.Show(True)",
"self.dirname = ''\ndlg = wx.FileDialog(self, 'Choose a file', self.dirname, '', '*.*', wx.OPEN)\nif dlg.Sho... | <|body_start_0|>
wx.Frame.__init__(self, parent, title=title, size=(300, 200))
vbox = wx.BoxSizer(wx.VERTICAL)
startButton = wx.Button(self, label='Start!')
vbox.Add(startButton)
self.SetSizer(vbox)
self.Show(True)
<|end_body_0|>
<|body_start_1|>
self.dirname = '... | MainWin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MainWin:
def __init__(self, parent, title):
"""Init"""
<|body_0|>
def OnOpen(self, e):
"""Open a file"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
wx.Frame.__init__(self, parent, title=title, size=(300, 200))
vbox = wx.BoxSizer(wx.VERTICA... | stack_v2_sparse_classes_75kplus_train_074613 | 970 | no_license | [
{
"docstring": "Init",
"name": "__init__",
"signature": "def __init__(self, parent, title)"
},
{
"docstring": "Open a file",
"name": "OnOpen",
"signature": "def OnOpen(self, e)"
}
] | 2 | null | Implement the Python class `MainWin` described below.
Class description:
Implement the MainWin class.
Method signatures and docstrings:
- def __init__(self, parent, title): Init
- def OnOpen(self, e): Open a file | Implement the Python class `MainWin` described below.
Class description:
Implement the MainWin class.
Method signatures and docstrings:
- def __init__(self, parent, title): Init
- def OnOpen(self, e): Open a file
<|skeleton|>
class MainWin:
def __init__(self, parent, title):
"""Init"""
<|body_0|... | 67e3576e98a7a6ed6b39874799c46e3f2746907e | <|skeleton|>
class MainWin:
def __init__(self, parent, title):
"""Init"""
<|body_0|>
def OnOpen(self, e):
"""Open a file"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class MainWin:
def __init__(self, parent, title):
"""Init"""
wx.Frame.__init__(self, parent, title=title, size=(300, 200))
vbox = wx.BoxSizer(wx.VERTICAL)
startButton = wx.Button(self, label='Start!')
vbox.Add(startButton)
self.SetSizer(vbox)
self.Show(True)
... | the_stack_v2_python_sparse | Python/RedditSuite/reddit.py | rox04/pri_code | train | 0 | |
55f2fac48190665cf1b95037673e862225a2f573 | [
"self.id = id\nself.title = title\nself.description = description\nself.mtype = mtype\nself.file_name = file_name\nself.additional_properties = additional_properties",
"if dictionary is None:\n return None\nid = dictionary.get('id')\ntitle = dictionary.get('title')\ndescription = dictionary.get('description')\... | <|body_start_0|>
self.id = id
self.title = title
self.description = description
self.mtype = mtype
self.file_name = file_name
self.additional_properties = additional_properties
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
... | Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description here. mtype (Type): TODO: type description here. file_name (string): TODO: type descri... | AttachmentListItem | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttachmentListItem:
"""Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description here. mtype (Type): TODO: type descripti... | stack_v2_sparse_classes_75kplus_train_074614 | 2,692 | permissive | [
{
"docstring": "Constructor for the AttachmentListItem class",
"name": "__init__",
"signature": "def __init__(self, id=None, title=None, description=None, mtype=None, file_name=None, additional_properties={})"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionar... | 2 | stack_v2_sparse_classes_30k_train_014996 | Implement the Python class `AttachmentListItem` described below.
Class description:
Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description h... | Implement the Python class `AttachmentListItem` described below.
Class description:
Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description h... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class AttachmentListItem:
"""Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description here. mtype (Type): TODO: type descripti... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AttachmentListItem:
"""Implementation of the 'AttachmentListItem' model. TODO: type model description here. Attributes: id (uuid|string): TODO: type description here. title (string): TODO: type description here. description (string): TODO: type description here. mtype (Type): TODO: type description here. file... | the_stack_v2_python_sparse | idfy_rest_client/models/attachment_list_item.py | dealflowteam/Idfy | train | 0 |
587db44819c558ed266abf1d27e4d09cc81b2ac0 | [
"self.wordIdx = collections.defaultdict(list)\nfor idx, word in enumerate(words):\n self.wordIdx[word].append(idx)",
"iword1 = self.wordIdx[word1]\niword2 = self.wordIdx[word2]\nif not iword1 or not iword2:\n return -1\ni, j = (0, 0)\nsd, word1Idx, word2Idx = (1 << 31, -1, -1)\nwhile i < len(iword1) and j <... | <|body_start_0|>
self.wordIdx = collections.defaultdict(list)
for idx, word in enumerate(words):
self.wordIdx[word].append(idx)
<|end_body_0|>
<|body_start_1|>
iword1 = self.wordIdx[word1]
iword2 = self.wordIdx[word2]
if not iword1 or not iword2:
return -... | WordDistance | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WordDistance:
def __init__(self, words):
"""initialize your data structure here. :type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
"""Adds a word into the data structure. :type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_75kplus_train_074615 | 1,152 | no_license | [
{
"docstring": "initialize your data structure here. :type words: List[str]",
"name": "__init__",
"signature": "def __init__(self, words)"
},
{
"docstring": "Adds a word into the data structure. :type word1: str :type word2: str :rtype: int",
"name": "shortest",
"signature": "def shortes... | 2 | stack_v2_sparse_classes_30k_train_012999 | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): initialize your data structure here. :type words: List[str]
- def shortest(self, word1, word2): Adds a word into the data structure. :type word... | Implement the Python class `WordDistance` described below.
Class description:
Implement the WordDistance class.
Method signatures and docstrings:
- def __init__(self, words): initialize your data structure here. :type words: List[str]
- def shortest(self, word1, word2): Adds a word into the data structure. :type word... | 45e6ba66104bb43efcce39adc92a4904f50c605d | <|skeleton|>
class WordDistance:
def __init__(self, words):
"""initialize your data structure here. :type words: List[str]"""
<|body_0|>
def shortest(self, word1, word2):
"""Adds a word into the data structure. :type word1: str :type word2: str :rtype: int"""
<|body_1|>
<|end_... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WordDistance:
def __init__(self, words):
"""initialize your data structure here. :type words: List[str]"""
self.wordIdx = collections.defaultdict(list)
for idx, word in enumerate(words):
self.wordIdx[word].append(idx)
def shortest(self, word1, word2):
"""Adds a... | the_stack_v2_python_sparse | LeetCode/pythonSols/String/shortestDistance2.py | abhitrip/scratchpad | train | 0 | |
1b1e4af1469ce99c07cc767f733edde71fd82f04 | [
"if target_type not in feconf.SUGGESTION_TARGET_TYPE_CHOICES:\n raise self.InvalidInputException('Invalid target_type: %s' % target_type)\nif suggestion_type not in feconf.SUGGESTION_TYPE_CHOICES:\n raise self.InvalidInputException('Invalid suggestion_type: %s' % suggestion_type)",
"if target_type == feconf... | <|body_start_0|>
if target_type not in feconf.SUGGESTION_TARGET_TYPE_CHOICES:
raise self.InvalidInputException('Invalid target_type: %s' % target_type)
if suggestion_type not in feconf.SUGGESTION_TYPE_CHOICES:
raise self.InvalidInputException('Invalid suggestion_type: %s' % sugge... | Provides suggestions for a user and given suggestion type. | SuggestionsProviderHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SuggestionsProviderHandler:
"""Provides suggestions for a user and given suggestion type."""
def _require_valid_suggestion_and_target_types(self, target_type: str, suggestion_type: str) -> None:
"""Checks whether the given target_type and suggestion_type are valid. Args: target_type:... | stack_v2_sparse_classes_75kplus_train_074616 | 44,777 | permissive | [
{
"docstring": "Checks whether the given target_type and suggestion_type are valid. Args: target_type: str. The type of the suggestion target. suggestion_type: str. The type of the suggestion. Raises: InvalidInputException. If the given target_type of suggestion_type are invalid.",
"name": "_require_valid_s... | 2 | stack_v2_sparse_classes_30k_val_001623 | Implement the Python class `SuggestionsProviderHandler` described below.
Class description:
Provides suggestions for a user and given suggestion type.
Method signatures and docstrings:
- def _require_valid_suggestion_and_target_types(self, target_type: str, suggestion_type: str) -> None: Checks whether the given targ... | Implement the Python class `SuggestionsProviderHandler` described below.
Class description:
Provides suggestions for a user and given suggestion type.
Method signatures and docstrings:
- def _require_valid_suggestion_and_target_types(self, target_type: str, suggestion_type: str) -> None: Checks whether the given targ... | d16fdf23d790eafd63812bd7239532256e30a21d | <|skeleton|>
class SuggestionsProviderHandler:
"""Provides suggestions for a user and given suggestion type."""
def _require_valid_suggestion_and_target_types(self, target_type: str, suggestion_type: str) -> None:
"""Checks whether the given target_type and suggestion_type are valid. Args: target_type:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SuggestionsProviderHandler:
"""Provides suggestions for a user and given suggestion type."""
def _require_valid_suggestion_and_target_types(self, target_type: str, suggestion_type: str) -> None:
"""Checks whether the given target_type and suggestion_type are valid. Args: target_type: str. The typ... | the_stack_v2_python_sparse | core/controllers/suggestion.py | oppia/oppia | train | 6,172 |
39c9b5298d8c8cd7839c9e81598084b9101cdd20 | [
"self.path = path\nself.loader = loader\nself._mtime = None\nself._cached = None\nself._auto_reload = auto_reload",
"if self._mtime and (not self._auto_reload):\n return self._cached\ncurrent_mtime = os.path.getmtime(self.path)\nif not self._mtime or self._mtime < current_mtime:\n self._cached = self.loader... | <|body_start_0|>
self.path = path
self.loader = loader
self._mtime = None
self._cached = None
self._auto_reload = auto_reload
<|end_body_0|>
<|body_start_1|>
if self._mtime and (not self._auto_reload):
return self._cached
current_mtime = os.path.getmt... | Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader. | _CachedFile | [
"BSD-3-Clause",
"BSD-2-Clause-Views",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _CachedFile:
"""Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader."""
def __init__(self, path, loader, auto_reload=False):
""":param path: The path to the file to load. :param loader: A callable t... | stack_v2_sparse_classes_75kplus_train_074617 | 5,538 | permissive | [
{
"docstring": ":param path: The path to the file to load. :param loader: A callable that will be passed the file object and should return the parsed content. :param auto_reload: If True, the parsed content is discarded if the mtime of the file changes.",
"name": "__init__",
"signature": "def __init__(s... | 2 | null | Implement the Python class `_CachedFile` described below.
Class description:
Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader.
Method signatures and docstrings:
- def __init__(self, path, loader, auto_reload=False): :param path: ... | Implement the Python class `_CachedFile` described below.
Class description:
Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader.
Method signatures and docstrings:
- def __init__(self, path, loader, auto_reload=False): :param path: ... | 91c7a4504ad7471ed3e30246763a03e6c1cc531b | <|skeleton|>
class _CachedFile:
"""Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader."""
def __init__(self, path, loader, auto_reload=False):
""":param path: The path to the file to load. :param loader: A callable t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class _CachedFile:
"""Parses content from a file and caches the result. _CachedFile reads a file at a given path and parses the content using a provided loader."""
def __init__(self, path, loader, auto_reload=False):
""":param path: The path to the file to load. :param loader: A callable that will be p... | the_stack_v2_python_sparse | h/assets.py | 11-eleven-11/h | train | 2 |
28214f4f210989418f9c7ac1507b0edb367ecdb1 | [
"if HAS_ISBD and ISelectableBrowserDefault.providedBy(target):\n return target.getLayout()\nelse:\n view = target.getTypeInfo().getActionById('view') or 'base_view'\n if view == 'view':\n view = target.portal_type.lower() + '_view'\n return view",
"data = [HelpCenterReferenceManualSection.Searc... | <|body_start_0|>
if HAS_ISBD and ISelectableBrowserDefault.providedBy(target):
return target.getLayout()
else:
view = target.getTypeInfo().getActionById('view') or 'base_view'
if view == 'view':
view = target.portal_type.lower() + '_view'
r... | A section of a hierarchical document. It can contain sections and pages. | BungeniHelpCenterReferenceManualSection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BungeniHelpCenterReferenceManualSection:
"""A section of a hierarchical document. It can contain sections and pages."""
def getTargetObjectLayout(self, target):
"""Returns target object 'view' action page template"""
<|body_0|>
def SearchableText(self):
"""Append... | stack_v2_sparse_classes_75kplus_train_074618 | 34,826 | no_license | [
{
"docstring": "Returns target object 'view' action page template",
"name": "getTargetObjectLayout",
"signature": "def getTargetObjectLayout(self, target)"
},
{
"docstring": "Append references' searchable fields.",
"name": "SearchableText",
"signature": "def SearchableText(self)"
}
] | 2 | stack_v2_sparse_classes_30k_test_001663 | Implement the Python class `BungeniHelpCenterReferenceManualSection` described below.
Class description:
A section of a hierarchical document. It can contain sections and pages.
Method signatures and docstrings:
- def getTargetObjectLayout(self, target): Returns target object 'view' action page template
- def Searcha... | Implement the Python class `BungeniHelpCenterReferenceManualSection` described below.
Class description:
A section of a hierarchical document. It can contain sections and pages.
Method signatures and docstrings:
- def getTargetObjectLayout(self, target): Returns target object 'view' action page template
- def Searcha... | 5cf0ba31dfbff8d2c1b4aa8ab6f69c7a0ae9870d | <|skeleton|>
class BungeniHelpCenterReferenceManualSection:
"""A section of a hierarchical document. It can contain sections and pages."""
def getTargetObjectLayout(self, target):
"""Returns target object 'view' action page template"""
<|body_0|>
def SearchableText(self):
"""Append... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BungeniHelpCenterReferenceManualSection:
"""A section of a hierarchical document. It can contain sections and pages."""
def getTargetObjectLayout(self, target):
"""Returns target object 'view' action page template"""
if HAS_ISBD and ISelectableBrowserDefault.providedBy(target):
... | the_stack_v2_python_sparse | plone.products/BungeniHelpCenter/branches/plone4/content/HelpCenter.py | malangalanga/bungeni-portal | train | 0 |
4e11c631748b22e690812ceaec6da6e614889ae4 | [
"if not head or not head.next:\n return head\npre = None\nwhile head:\n cur = head\n head = head.next\n cur.next = pre\n pre = cur\nreturn pre",
"if not head or not head.next:\n return head\nlast = self.reverseList1(head.next)\nhead.next.next = head\nhead.next = None\nreturn last"
] | <|body_start_0|>
if not head or not head.next:
return head
pre = None
while head:
cur = head
head = head.next
cur.next = pre
pre = cur
return pre
<|end_body_0|>
<|body_start_1|>
if not head or not head.next:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList(self, head):
"""递归"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head or not head.next:
return head
pre = Non... | stack_v2_sparse_classes_75kplus_train_074619 | 1,145 | no_license | [
{
"docstring": ":type head: ListNode :rtype: ListNode",
"name": "reverseList1",
"signature": "def reverseList1(self, head)"
},
{
"docstring": "递归",
"name": "reverseList",
"signature": "def reverseList(self, head)"
}
] | 2 | stack_v2_sparse_classes_30k_train_038652 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList1(self, head): :type head: ListNode :rtype: ListNode
- def reverseList(self, head): 递归 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reverseList1(self, head): :type head: ListNode :rtype: ListNode
- def reverseList(self, head): 递归
<|skeleton|>
class Solution:
def reverseList1(self, head):
"""... | 6e18c5d257840489cc3fb1079ae3804c743982a4 | <|skeleton|>
class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
<|body_0|>
def reverseList(self, head):
"""递归"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def reverseList1(self, head):
""":type head: ListNode :rtype: ListNode"""
if not head or not head.next:
return head
pre = None
while head:
cur = head
head = head.next
cur.next = pre
pre = cur
return p... | the_stack_v2_python_sparse | out/production/leetcode/206.反转链表.py | yangyuxiang1996/leetcode | train | 0 | |
57298d850f1a1bc7ed11a0edb26354bce1ebbaa8 | [
"super(FtwTorso, self).__init__(name=name)\nfor arg_name, filters_description in [('conv_filters', conv_filters), ('residual_filters', residual_filters)]:\n if not (isinstance(filters_description, Sequence) and all([len(layer_triple) == 3 and all([isinstance(arg, int) for arg in layer_triple]) for layer_triple i... | <|body_start_0|>
super(FtwTorso, self).__init__(name=name)
for arg_name, filters_description in [('conv_filters', conv_filters), ('residual_filters', residual_filters)]:
if not (isinstance(filters_description, Sequence) and all([len(layer_triple) == 3 and all([isinstance(arg, int) for arg in... | Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material. | FtwTorso | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FtwTorso:
"""Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material."""
def __init__(self, conv_filters: Sequence[Tuple[int, int, int]]=((32, 8, 4), (64, 4, 2)), residual_filters: Sequence[Tuple[int, ... | stack_v2_sparse_classes_75kplus_train_074620 | 4,978 | no_license | [
{
"docstring": "Initializes the FtwTorso module. Args: conv_filters: Sequence of int triples (num_channels, kernel_size, stride) indicating the number of channels, the kernel size (also called filter size) and stride for each (non-residual) convolutional layer in the sequence. residual_filters: Sequence of int ... | 2 | null | Implement the Python class `FtwTorso` described below.
Class description:
Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material.
Method signatures and docstrings:
- def __init__(self, conv_filters: Sequence[Tuple[int, int, in... | Implement the Python class `FtwTorso` described below.
Class description:
Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material.
Method signatures and docstrings:
- def __init__(self, conv_filters: Sequence[Tuple[int, int, in... | 1c2b2768f2c5996c8cc998d0271f3857949bdaeb | <|skeleton|>
class FtwTorso:
"""Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material."""
def __init__(self, conv_filters: Sequence[Tuple[int, int, int]]=((32, 8, 4), (64, 4, 2)), residual_filters: Sequence[Tuple[int, ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FtwTorso:
"""Visual embedding module as used in the FTW paper. See also the FTW paper for more information, especially Figure S11 of the supplementary material."""
def __init__(self, conv_filters: Sequence[Tuple[int, int, int]]=((32, 8, 4), (64, 4, 2)), residual_filters: Sequence[Tuple[int, int, int]]=((... | the_stack_v2_python_sparse | ftw/tf/networks/vision.py | RaoulDrake/ftw | train | 3 |
c7d4d9c555f6a4d6ea6c1d92f47256ba6f4e935d | [
"self.mode = mode\nself.ids_rulesets = ids_rulesets\nself.protected_networks = protected_networks",
"if dictionary is None:\n return None\nmode = dictionary.get('mode')\nids_rulesets = dictionary.get('idsRulesets')\nprotected_networks = meraki_sdk.models.protected_networks_model.ProtectedNetworksModel.from_dic... | <|body_start_0|>
self.mode = mode
self.ids_rulesets = ids_rulesets
self.protected_networks = protected_networks
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
mode = dictionary.get('mode')
ids_rulesets = dictionary.get('idsRulesets')
... | Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leave current config unchanged) ids_rulesets (string): Set the detection ruleset 'connectivity'/'balanced'/'securi... | UpdateNetworkSecurityIntrusionSettingsModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateNetworkSecurityIntrusionSettingsModel:
"""Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leave current config unchanged) ids_ruleset... | stack_v2_sparse_classes_75kplus_train_074621 | 2,701 | permissive | [
{
"docstring": "Constructor for the UpdateNetworkSecurityIntrusionSettingsModel class",
"name": "__init__",
"signature": "def __init__(self, mode=None, ids_rulesets=None, protected_networks=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary... | 2 | stack_v2_sparse_classes_30k_train_049925 | Implement the Python class `UpdateNetworkSecurityIntrusionSettingsModel` described below.
Class description:
Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leav... | Implement the Python class `UpdateNetworkSecurityIntrusionSettingsModel` described below.
Class description:
Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leav... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class UpdateNetworkSecurityIntrusionSettingsModel:
"""Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leave current config unchanged) ids_ruleset... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UpdateNetworkSecurityIntrusionSettingsModel:
"""Implementation of the 'updateNetworkSecurityIntrusionSettings' model. TODO: type model description here. Attributes: mode (string): Set mode to 'disabled'/'detection'/'prevention' (optional - omitting will leave current config unchanged) ids_rulesets (string): S... | the_stack_v2_python_sparse | meraki_sdk/models/update_network_security_intrusion_settings_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
6d630a1d642c165be92d9a1b29c563976f692ff1 | [
"if name in ['E', 'X', 'Z']:\n raise ValueError('you are attempting to redefine %s; but you should never redefine E, X or Z in gap3 (because things will break!)' % name)\nsuper(GAP3Element, self).__init__(parent, value, is_name, name)\nparent._synchronize()\nif parent.eval('IsRec(%s)' % self._name) == 'true':\n ... | <|body_start_0|>
if name in ['E', 'X', 'Z']:
raise ValueError('you are attempting to redefine %s; but you should never redefine E, X or Z in gap3 (because things will break!)' % name)
super(GAP3Element, self).__init__(parent, value, is_name, name)
parent._synchronize()
if par... | A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: False); if True, then ``value`` is the variable name for the object - ``name`` -... | GAP3Element | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GAP3Element:
"""A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: False); if True, then ``value`` is the va... | stack_v2_sparse_classes_75kplus_train_074622 | 34,820 | no_license | [
{
"docstring": "See ``GAP3Element`` for full documentation. EXAMPLES:: sage: from sage.interfaces.gap3 import GAP3Element #optional - gap3 sage: gap3 = Gap3() #optional - gap3 sage: GAP3Element(gap3, value='3+2') #optional - gap3 5 sage: GAP3Element(gap3, value='sage0', is_name=True) #optional - gap3 5 TESTS:: ... | 3 | stack_v2_sparse_classes_30k_train_042622 | Implement the Python class `GAP3Element` described below.
Class description:
A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: Fa... | Implement the Python class `GAP3Element` described below.
Class description:
A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: Fa... | 0d9eacbf74e2acffefde93e39f8bcbec745cdaba | <|skeleton|>
class GAP3Element:
"""A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: False); if True, then ``value`` is the va... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GAP3Element:
"""A GAP3 element .. NOTE:: If the corresponding GAP3 element is a GAP3 record, then the class is changed to a ``GAP3Record``. INPUT: - ``parent`` -- the GAP3 session - ``value`` -- the GAP3 command as a string - ``is_name`` -- bool (default: False); if True, then ``value`` is the variable name f... | the_stack_v2_python_sparse | sage/src/sage/interfaces/gap3.py | bopopescu/geosci | train | 0 |
cc4cad806f79a8d13adb1915a63c06201e65d2c7 | [
"context = super().get_context_data(**kwargs)\ncontext['rocnik'] = Rocnik.objects.get(pk=self.kwargs['rocnik_pk'])\ncontext['subheader'] = self.subheader\nreturn context",
"self.request.session['zdrojovy_formular'] = 'zavody:import_textu_casu'\ncontext = self.get_context_data()\ncontext['formset'] = ImportyCilove... | <|body_start_0|>
context = super().get_context_data(**kwargs)
context['rocnik'] = Rocnik.objects.get(pk=self.kwargs['rocnik_pk'])
context['subheader'] = self.subheader
return context
<|end_body_0|>
<|body_start_1|>
self.request.session['zdrojovy_formular'] = 'zavody:import_textu... | Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3: 00:09.6 00:02.8 2: 00:06.7 00:01.9 1: 00:04.8 00:04.8 | ImportCasuTextView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImportCasuTextView:
"""Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3: 00:09.6 00:02.8 2: 00:06.7 00:01.9 1:... | stack_v2_sparse_classes_75kplus_train_074623 | 27,940 | no_license | [
{
"docstring": "prida do 'rocnik' a 'subheader'",
"name": "get_context_data",
"signature": "def get_context_data(self, **kwargs)"
},
{
"docstring": "zobrazi formset s daty ze souboru",
"name": "form_valid",
"signature": "def form_valid(self, form)"
}
] | 2 | null | Implement the Python class `ImportCasuTextView` described below.
Class description:
Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3... | Implement the Python class `ImportCasuTextView` described below.
Class description:
Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3... | b3d6bfa0090cbb2a546a632e735b98ae653efc7d | <|skeleton|>
class ImportCasuTextView:
"""Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3: 00:09.6 00:02.8 2: 00:06.7 00:01.9 1:... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImportCasuTextView:
"""Vkladani casu zkopirovaneho ze stopek do textoveho pole a jeho zpracovani http://play.google.com/store/apps/details?id=uk.co.dedmondson.timer.split 03:02.4 (ignorovat) 01:50.4 (ignorovat) --------------------------------- (ignorovat) 3: 00:09.6 00:02.8 2: 00:06.7 00:01.9 1: 00:04.8 00:0... | the_stack_v2_python_sparse | zavody/views.py | gumish/hanes | train | 0 |
cf8ad7922cb70a6d2afaa818d62998ace58c1142 | [
"app.setStyle('Fusion')\nwith open(self._STYLESHEET) as stylesheet:\n app.setStyleSheet(stylesheet.read())",
"darkPalette = QPalette()\ndarkPalette.setColor(QPalette.WindowText, QColor(180, 180, 180))\ndarkPalette.setColor(QPalette.Button, QColor(53, 53, 53))\ndarkPalette.setColor(QPalette.Light, QColor(180, 1... | <|body_start_0|>
app.setStyle('Fusion')
with open(self._STYLESHEET) as stylesheet:
app.setStyleSheet(stylesheet.read())
<|end_body_0|>
<|body_start_1|>
darkPalette = QPalette()
darkPalette.setColor(QPalette.WindowText, QColor(180, 180, 180))
darkPalette.setColor(QPal... | DarkStyle | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DarkStyle:
def _apply_base_theme(self, app):
"""Apply base theme to the application. Args: app (QApplication): QApplication instance."""
<|body_0|>
def apply_style(self, app):
"""Apply Dark Theme to the Qt application instance. Args: app (QApplication): QApplication ... | stack_v2_sparse_classes_75kplus_train_074624 | 5,792 | permissive | [
{
"docstring": "Apply base theme to the application. Args: app (QApplication): QApplication instance.",
"name": "_apply_base_theme",
"signature": "def _apply_base_theme(self, app)"
},
{
"docstring": "Apply Dark Theme to the Qt application instance. Args: app (QApplication): QApplication instance... | 2 | stack_v2_sparse_classes_30k_train_036046 | Implement the Python class `DarkStyle` described below.
Class description:
Implement the DarkStyle class.
Method signatures and docstrings:
- def _apply_base_theme(self, app): Apply base theme to the application. Args: app (QApplication): QApplication instance.
- def apply_style(self, app): Apply Dark Theme to the Qt... | Implement the Python class `DarkStyle` described below.
Class description:
Implement the DarkStyle class.
Method signatures and docstrings:
- def _apply_base_theme(self, app): Apply base theme to the application. Args: app (QApplication): QApplication instance.
- def apply_style(self, app): Apply Dark Theme to the Qt... | 7a79feab40ec801198ea5d519948ccbfd0203df3 | <|skeleton|>
class DarkStyle:
def _apply_base_theme(self, app):
"""Apply base theme to the application. Args: app (QApplication): QApplication instance."""
<|body_0|>
def apply_style(self, app):
"""Apply Dark Theme to the Qt application instance. Args: app (QApplication): QApplication ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DarkStyle:
def _apply_base_theme(self, app):
"""Apply base theme to the application. Args: app (QApplication): QApplication instance."""
app.setStyle('Fusion')
with open(self._STYLESHEET) as stylesheet:
app.setStyleSheet(stylesheet.read())
def apply_style(self, app):
... | the_stack_v2_python_sparse | folderplay/gui/styles.py | hurlenko/folderplay | train | 1 | |
4b834bff6afa2a4141d3f6a309837a88f7372d2d | [
"self.name = name\nself.independent_probs = independent_probs\nself.augmentors = []\nself.probs = []",
"augm_images = images\nif self.independent_probs:\n for i in xrange(len(self.augmentors)):\n augmentor = self.augmentors[i]\n prob = self.probs[i]\n if prob is None:\n augm_ima... | <|body_start_0|>
self.name = name
self.independent_probs = independent_probs
self.augmentors = []
self.probs = []
<|end_body_0|>
<|body_start_1|>
augm_images = images
if self.independent_probs:
for i in xrange(len(self.augmentors)):
augmentor ... | Class to define the set of augmentors with specified probability. | AugmentFactory | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AugmentFactory:
"""Class to define the set of augmentors with specified probability."""
def __init__(self, independent_probs=True, name='IndependentAugmentFactory'):
"""Constructor. :param independent_probs: Whether to normalize input probabilities :param name: Class name"""
... | stack_v2_sparse_classes_75kplus_train_074625 | 24,391 | permissive | [
{
"docstring": "Constructor. :param independent_probs: Whether to normalize input probabilities :param name: Class name",
"name": "__init__",
"signature": "def __init__(self, independent_probs=True, name='IndependentAugmentFactory')"
},
{
"docstring": "Carry out augmentation of image batch :para... | 4 | stack_v2_sparse_classes_30k_train_016540 | Implement the Python class `AugmentFactory` described below.
Class description:
Class to define the set of augmentors with specified probability.
Method signatures and docstrings:
- def __init__(self, independent_probs=True, name='IndependentAugmentFactory'): Constructor. :param independent_probs: Whether to normaliz... | Implement the Python class `AugmentFactory` described below.
Class description:
Class to define the set of augmentors with specified probability.
Method signatures and docstrings:
- def __init__(self, independent_probs=True, name='IndependentAugmentFactory'): Constructor. :param independent_probs: Whether to normaliz... | c553a56088f0055baba838b68c9299e19683227e | <|skeleton|>
class AugmentFactory:
"""Class to define the set of augmentors with specified probability."""
def __init__(self, independent_probs=True, name='IndependentAugmentFactory'):
"""Constructor. :param independent_probs: Whether to normalize input probabilities :param name: Class name"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AugmentFactory:
"""Class to define the set of augmentors with specified probability."""
def __init__(self, independent_probs=True, name='IndependentAugmentFactory'):
"""Constructor. :param independent_probs: Whether to normalize input probabilities :param name: Class name"""
self.name = n... | the_stack_v2_python_sparse | tensorflow_toolkit/action_detection/action_detection/nn/data/augmentation.py | DmitriySidnev/openvino_training_extensions | train | 0 |
615f20e83a11cc1bf9b1899748835559aa3d6293 | [
"if not root:\n return 'null'\noutput = []\nmy_queue = []\nmy_queue.append(root)\nwhile my_queue:\n l = len(my_queue)\n for i in range(l):\n curr_node = my_queue.pop(0)\n if curr_node:\n output.append(curr_node.val)\n my_queue.append(curr_node.left)\n my_queue... | <|body_start_0|>
if not root:
return 'null'
output = []
my_queue = []
my_queue.append(root)
while my_queue:
l = len(my_queue)
for i in range(l):
curr_node = my_queue.pop(0)
if curr_node:
outpu... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|>
<|body_... | stack_v2_sparse_classes_75kplus_train_074626 | 2,255 | 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_008609 | 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:... | 3f5ad6164c147e7b51b7850dcd279150fa8a7600 | <|skeleton|>
class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
<|body_0|>
def deserialize(self, data):
"""Decodes your encoded data to tree. :type data: str :rtype: TreeNode"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Codec:
def serialize(self, root):
"""Encodes a tree to a single string. :type root: TreeNode :rtype: str"""
if not root:
return 'null'
output = []
my_queue = []
my_queue.append(root)
while my_queue:
l = len(my_queue)
for i in ... | the_stack_v2_python_sparse | Round_1/297. Serialize and Deserialize Binary Tree/solution_2.py | buptwxd2/leetcode | train | 0 | |
4ad36df7c63f624ea5457349ab79c2488c67db01 | [
"confor = logging.Formatter('%(asctime)s :: %(levelname)s :: %(message)s', '%H:%M:%S')\nwarfor = logging.Formatter('%(asctime)s :: %(levelname)-8s :: %(message)s', '%b-%d %H:%M:%S')\ncon = logging.StreamHandler(sys.stdout)\ncon.setLevel(logging.DEBUG)\ncon.setFormatter(confor)\nwar = logging.handlers.RotatingFileHa... | <|body_start_0|>
confor = logging.Formatter('%(asctime)s :: %(levelname)s :: %(message)s', '%H:%M:%S')
warfor = logging.Formatter('%(asctime)s :: %(levelname)-8s :: %(message)s', '%b-%d %H:%M:%S')
con = logging.StreamHandler(sys.stdout)
con.setLevel(logging.DEBUG)
con.setFormatte... | Ironworks logger | IronworksLogger | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IronworksLogger:
"""Ironworks logger"""
def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT):
"""init the logger"""
<|body_0|>
def log(self, toLog, logLevel):
"""wrapper for logger output"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
confor = lo... | stack_v2_sparse_classes_75kplus_train_074627 | 2,179 | permissive | [
{
"docstring": "init the logger",
"name": "__init__",
"signature": "def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT)"
},
{
"docstring": "wrapper for logger output",
"name": "log",
"signature": "def log(self, toLog, logLevel)"
}
] | 2 | stack_v2_sparse_classes_30k_train_019442 | Implement the Python class `IronworksLogger` described below.
Class description:
Ironworks logger
Method signatures and docstrings:
- def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT): init the logger
- def log(self, toLog, logLevel): wrapper for logger output | Implement the Python class `IronworksLogger` described below.
Class description:
Ironworks logger
Method signatures and docstrings:
- def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT): init the logger
- def log(self, toLog, logLevel): wrapper for logger output
<|skeleton|>
class IronworksLogger:
"""Ironworks lo... | 37be48e37f63530dd7bf82618948ef82522699a0 | <|skeleton|>
class IronworksLogger:
"""Ironworks logger"""
def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT):
"""init the logger"""
<|body_0|>
def log(self, toLog, logLevel):
"""wrapper for logger output"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IronworksLogger:
"""Ironworks logger"""
def __init__(self, LOG_FILE, VERBOSE, DEVELOPMENT):
"""init the logger"""
confor = logging.Formatter('%(asctime)s :: %(levelname)s :: %(message)s', '%H:%M:%S')
warfor = logging.Formatter('%(asctime)s :: %(levelname)-8s :: %(message)s', '%b-%... | the_stack_v2_python_sparse | ironworks/logger.py | hephaestus9/Ironworks | train | 1 |
b8a5f73c7b8a0095184545117285054f43085ab4 | [
"sol_spo = torch.unsqueeze(torch.tensor(sol_spo), 1)\nobjval_predictions_true = torch.dot(sol_spo[:, 0], coeffs_true[:, 0])\nctx.save_for_backward(sol_spo, sol_true)\nreturn torch.tensor([objval_predictions_true])",
"grad_input = grad_output.clone()\nsol_spo, sol_true = ctx.saved_tensors\nsubgradient = 2 * (sol_t... | <|body_start_0|>
sol_spo = torch.unsqueeze(torch.tensor(sol_spo), 1)
objval_predictions_true = torch.dot(sol_spo[:, 0], coeffs_true[:, 0])
ctx.save_for_backward(sol_spo, sol_true)
return torch.tensor([objval_predictions_true])
<|end_body_0|>
<|body_start_1|>
grad_input = grad_ou... | We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors. | SPOLoss | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SPOLoss:
"""We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors."""
def forward(ctx, coeffs_predictions, coeffs_true, sol_spo, sol_true):
"""In the forward pass we receive ... | stack_v2_sparse_classes_75kplus_train_074628 | 4,260 | no_license | [
{
"docstring": "In the forward pass we receive a Tensor containing the input and return a Tensor containing the output. ctx is a context object that can be used to stash information for backward computation. You can cache arbitrary objects for use in the backward pass using the ctx.save_for_backward method.",
... | 2 | stack_v2_sparse_classes_30k_train_042219 | Implement the Python class `SPOLoss` described below.
Class description:
We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors.
Method signatures and docstrings:
- def forward(ctx, coeffs_predictions, coeffs_... | Implement the Python class `SPOLoss` described below.
Class description:
We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors.
Method signatures and docstrings:
- def forward(ctx, coeffs_predictions, coeffs_... | 5b52289da54162aff35bc8c2ecc9a2959f6f96b7 | <|skeleton|>
class SPOLoss:
"""We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors."""
def forward(ctx, coeffs_predictions, coeffs_true, sol_spo, sol_true):
"""In the forward pass we receive ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SPOLoss:
"""We can implement our own custom autograd Functions by subclassing torch.autograd.Function and implementing the forward and backward passes which operate on Tensors."""
def forward(ctx, coeffs_predictions, coeffs_true, sol_spo, sol_true):
"""In the forward pass we receive a Tensor cont... | the_stack_v2_python_sparse | model_execution/spo_torch.py | lyeskhalil/mipGNN | train | 16 |
64be7b63fe73434be9d0f771faf85ec51e86d8c7 | [
"assert_is_instance(l_plus, np.ndarray, 'L plus has to be a np array')\nassert_is_instance(l_minus, np.ndarray, 'L minus has to be a np array')\nassert_condition(l_plus.shape == l_minus.shape, TypeError, 'It is not an splitting')\nassert_is_instance(level, IMultigridLevel, 'Not the right level')\nself.order = kwarg... | <|body_start_0|>
assert_is_instance(l_plus, np.ndarray, 'L plus has to be a np array')
assert_is_instance(l_minus, np.ndarray, 'L minus has to be a np array')
assert_condition(l_plus.shape == l_minus.shape, TypeError, 'It is not an splitting')
assert_is_instance(level, IMultigridLevel, '... | A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level. | SplitSmoother | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SplitSmoother:
"""A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level."""
def __init__(self, l_plus, l_minus, level, *args, **kwargs):
"""init method of the split... | stack_v2_sparse_classes_75kplus_train_074629 | 9,259 | no_license | [
{
"docstring": "init method of the split smoother l_plus and l_minus have to be centralized",
"name": "__init__",
"signature": "def __init__(self, l_plus, l_minus, level, *args, **kwargs)"
},
{
"docstring": "Does the relaxation step several times on the lvl the hardship in this case is to use th... | 2 | stack_v2_sparse_classes_30k_train_010589 | Implement the Python class `SplitSmoother` described below.
Class description:
A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level.
Method signatures and docstrings:
- def __init__(self, l_plus, l... | Implement the Python class `SplitSmoother` described below.
Class description:
A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level.
Method signatures and docstrings:
- def __init__(self, l_plus, l... | 90aed34cf43d633e44f56444f6c5d4fa39619663 | <|skeleton|>
class SplitSmoother:
"""A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level."""
def __init__(self, l_plus, l_minus, level, *args, **kwargs):
"""init method of the split... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SplitSmoother:
"""A general Smoothing class which arises from splitting the main stencil This class of smoothers is easy to derive and really broad, it is statically linked to a certain level."""
def __init__(self, l_plus, l_minus, level, *args, **kwargs):
"""init method of the split smoother l_p... | the_stack_v2_python_sparse | pypint/plugins/multigrid/multigrid_smoother.py | Parallel-in-Time/PyPinT | train | 0 |
0985bfbd2365501d77a0cd68fa92eb909cedfe54 | [
"if not parse_node:\n raise TypeError('parse_node cannot be null.')\ntry:\n mapping_value = parse_node.get_child_node('@odata.type').get_str_value()\nexcept AttributeError:\n mapping_value = None\nif mapping_value and mapping_value.casefold() == '#microsoft.graph.room'.casefold():\n from .room import Ro... | <|body_start_0|>
if not parse_node:
raise TypeError('parse_node cannot be null.')
try:
mapping_value = parse_node.get_child_node('@odata.type').get_str_value()
except AttributeError:
mapping_value = None
if mapping_value and mapping_value.casefold() ==... | Place | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Place:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Place:
"""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: Place"""
... | stack_v2_sparse_classes_75kplus_train_074630 | 3,774 | 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: Place",
"name": "create_from_discriminator_value",
"signature": "def create_from_discriminator_value(parse_n... | 3 | stack_v2_sparse_classes_30k_train_009632 | Implement the Python class `Place` described below.
Class description:
Implement the Place class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Place: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The p... | Implement the Python class `Place` described below.
Class description:
Implement the Place class.
Method signatures and docstrings:
- def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Place: Creates a new instance of the appropriate class based on discriminator value Args: parse_node: The p... | 27de7ccbe688d7614b2f6bde0fdbcda4bc5cc949 | <|skeleton|>
class Place:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Place:
"""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: Place"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Place:
def create_from_discriminator_value(parse_node: Optional[ParseNode]=None) -> Place:
"""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: Place"""
if not pars... | the_stack_v2_python_sparse | msgraph/generated/models/place.py | microsoftgraph/msgraph-sdk-python | train | 135 | |
a9eae3a6b0841ad39c5e6ec171b437b7b8ba1f8a | [
"node = data['node']\ncreator = data['creator']\nvalid_node_types = ('Article', 'Review')\nif 'type' not in node.json or node.json['type'] not in valid_node_types:\n raise exceptions.ValidationError(dict(node=f\"Node type must be one of {', '.join(valid_node_types)}.\"))\nproject = node.project\nif not project:\... | <|body_start_0|>
node = data['node']
creator = data['creator']
valid_node_types = ('Article', 'Review')
if 'type' not in node.json or node.json['type'] not in valid_node_types:
raise exceptions.ValidationError(dict(node=f"Node type must be one of {', '.join(valid_node_types)}... | A serializer for DOIs. | DoiSerializer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DoiSerializer:
"""A serializer for DOIs."""
def validate(self, data):
"""Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissions and the project's account has sufficient quota."""
... | stack_v2_sparse_classes_75kplus_train_074631 | 2,035 | permissive | [
{
"docstring": "Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissions and the project's account has sufficient quota.",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstr... | 2 | stack_v2_sparse_classes_30k_test_000332 | Implement the Python class `DoiSerializer` described below.
Class description:
A serializer for DOIs.
Method signatures and docstrings:
- def validate(self, data): Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissi... | Implement the Python class `DoiSerializer` described below.
Class description:
A serializer for DOIs.
Method signatures and docstrings:
- def validate(self, data): Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissi... | b0edf060f4cc5494eef81fce62a563bd5b4e8e31 | <|skeleton|>
class DoiSerializer:
"""A serializer for DOIs."""
def validate(self, data):
"""Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissions and the project's account has sufficient quota."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DoiSerializer:
"""A serializer for DOIs."""
def validate(self, data):
"""Validate data before creating a DOI. Validate that the node is a supported type and is linked to a project. Check that the creator has sufficient permissions and the project's account has sufficient quota."""
node = ... | the_stack_v2_python_sparse | manager/dois/api/serializers.py | stencila/hub | train | 31 |
88c2a61fbfb3da88d294081601db0875b7473e46 | [
"self.SetTitle('This is an example Dialog')\nself.AddDlgGroup(c4d.DLG_OK | c4d.DLG_CANCEL)\nreturn True",
"if messageId == c4d.DLG_OK:\n print('User Click on Ok')\n return True\nelif messageId == c4d.DLG_CANCEL:\n print('User Click on Cancel')\n self.Close()\n return True\nreturn True"
] | <|body_start_0|>
self.SetTitle('This is an example Dialog')
self.AddDlgGroup(c4d.DLG_OK | c4d.DLG_CANCEL)
return True
<|end_body_0|>
<|body_start_1|>
if messageId == c4d.DLG_OK:
print('User Click on Ok')
return True
elif messageId == c4d.DLG_CANCEL:
... | ExampleDialog | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExampleDialog:
def CreateLayout(self):
"""This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog."""
<|body_0|>
def Command(self, messageId, bc):
"""This Method is called automatically when the user clicks on a gadget and/or chan... | stack_v2_sparse_classes_75kplus_train_074632 | 3,303 | permissive | [
{
"docstring": "This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog.",
"name": "CreateLayout",
"signature": "def CreateLayout(self)"
},
{
"docstring": "This Method is called automatically when the user clicks on a gadget and/or changes its value this func... | 2 | null | Implement the Python class `ExampleDialog` described below.
Class description:
Implement the ExampleDialog class.
Method signatures and docstrings:
- def CreateLayout(self): This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog.
- def Command(self, messageId, bc): This Method is... | Implement the Python class `ExampleDialog` described below.
Class description:
Implement the ExampleDialog class.
Method signatures and docstrings:
- def CreateLayout(self): This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog.
- def Command(self, messageId, bc): This Method is... | b1ea3fce533df34094bc3d0bd6460dfb84306e53 | <|skeleton|>
class ExampleDialog:
def CreateLayout(self):
"""This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog."""
<|body_0|>
def Command(self, messageId, bc):
"""This Method is called automatically when the user clicks on a gadget and/or chan... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExampleDialog:
def CreateLayout(self):
"""This Method is called automatically when Cinema 4D Create the Layout (display) of the Dialog."""
self.SetTitle('This is an example Dialog')
self.AddDlgGroup(c4d.DLG_OK | c4d.DLG_CANCEL)
return True
def Command(self, messageId, bc):... | the_stack_v2_python_sparse | plugins/py-commanddata_dialog_r13/py-commanddata_dialog_r13.pyp | PluginCafe/cinema4d_py_sdk_extended | train | 112 | |
2511485a94b491a6866d7d46d3a113899922744c | [
"GridGlobals.__init__(self)\nLogger.info('Surface: ON')\nself.n = 15\nfor i in range(self.r):\n for j in range(self.c):\n self.arr[i][j] = SurArrs(Globals.get_mat_reten(i, j), Globals.get_mat_inf_index(i, j), Globals.get_mat_hcrit(i, j), Globals.get_mat_aa(i, j), Globals.get_mat_b(i, j))\nStream.__init__(... | <|body_start_0|>
GridGlobals.__init__(self)
Logger.info('Surface: ON')
self.n = 15
for i in range(self.r):
for j in range(self.c):
self.arr[i][j] = SurArrs(Globals.get_mat_reten(i, j), Globals.get_mat_inf_index(i, j), Globals.get_mat_hcrit(i, j), Globals.get_m... | Contains data and methods to calculate the surface and rill runoff. | Surface | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Surface:
"""Contains data and methods to calculate the surface and rill runoff."""
def __init__(self):
"""The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm method."""
<|body_0|>
def return_str_vals(self... | stack_v2_sparse_classes_75kplus_train_074633 | 9,525 | no_license | [
{
"docstring": "The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm method.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "TODO. :param i: row index :param j: col index :param sep: separator :param dt:... | 2 | stack_v2_sparse_classes_30k_train_014150 | Implement the Python class `Surface` described below.
Class description:
Contains data and methods to calculate the surface and rill runoff.
Method signatures and docstrings:
- def __init__(self): The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm me... | Implement the Python class `Surface` described below.
Class description:
Contains data and methods to calculate the surface and rill runoff.
Method signatures and docstrings:
- def __init__(self): The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm me... | 0dd7a646e3833983d0d6fa9f737adcc8a2c7cec1 | <|skeleton|>
class Surface:
"""Contains data and methods to calculate the surface and rill runoff."""
def __init__(self):
"""The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm method."""
<|body_0|>
def return_str_vals(self... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Surface:
"""Contains data and methods to calculate the surface and rill runoff."""
def __init__(self):
"""The constructor Make all numpy arrays and establish the inflow procedure based on D8 or Multi Flow Direction Algorithm method."""
GridGlobals.__init__(self)
Logger.info('Surfa... | the_stack_v2_python_sparse | model/smoderp2d/core/surface.py | jerabekjak/smoderp2d-optim-sens | train | 1 |
9a455f034e6782f596cd0ba088aa2aa7f448f04e | [
"sTitle = 'Failure Reason'\nif sMode == WuiFormContentBase.ksMode_Add:\n sTitle = 'Add' + sTitle\nelif sMode == WuiFormContentBase.ksMode_Edit:\n sTitle = 'Edit' + sTitle\nelse:\n assert sMode == WuiFormContentBase.ksMode_Show\nWuiFormContentBase.__init__(self, oFailureReasonData, sMode, 'FailureReason', o... | <|body_start_0|>
sTitle = 'Failure Reason'
if sMode == WuiFormContentBase.ksMode_Add:
sTitle = 'Add' + sTitle
elif sMode == WuiFormContentBase.ksMode_Edit:
sTitle = 'Edit' + sTitle
else:
assert sMode == WuiFormContentBase.ksMode_Show
WuiFormCon... | WUI Failure Reason HTML content generator. | WuiAdminFailureReason | [
"GPL-2.0-only",
"LicenseRef-scancode-unknown-license-reference",
"CDDL-1.0",
"LicenseRef-scancode-warranty-disclaimer",
"GPL-1.0-or-later",
"LGPL-2.1-or-later",
"GPL-2.0-or-later",
"MPL-1.0",
"LicenseRef-scancode-generic-exception",
"Apache-2.0",
"OpenSSL",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WuiAdminFailureReason:
"""WUI Failure Reason HTML content generator."""
def __init__(self, oFailureReasonData, sMode, oDisp):
"""Prepare & initialize parent"""
<|body_0|>
def _populateForm(self, oForm, oData):
"""Construct an HTML form"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus_train_074634 | 7,957 | permissive | [
{
"docstring": "Prepare & initialize parent",
"name": "__init__",
"signature": "def __init__(self, oFailureReasonData, sMode, oDisp)"
},
{
"docstring": "Construct an HTML form",
"name": "_populateForm",
"signature": "def _populateForm(self, oForm, oData)"
}
] | 2 | stack_v2_sparse_classes_30k_val_001108 | Implement the Python class `WuiAdminFailureReason` described below.
Class description:
WUI Failure Reason HTML content generator.
Method signatures and docstrings:
- def __init__(self, oFailureReasonData, sMode, oDisp): Prepare & initialize parent
- def _populateForm(self, oForm, oData): Construct an HTML form | Implement the Python class `WuiAdminFailureReason` described below.
Class description:
WUI Failure Reason HTML content generator.
Method signatures and docstrings:
- def __init__(self, oFailureReasonData, sMode, oDisp): Prepare & initialize parent
- def _populateForm(self, oForm, oData): Construct an HTML form
<|ske... | 6f78952d58da52ea4f0e55b2ab297f28e80c1160 | <|skeleton|>
class WuiAdminFailureReason:
"""WUI Failure Reason HTML content generator."""
def __init__(self, oFailureReasonData, sMode, oDisp):
"""Prepare & initialize parent"""
<|body_0|>
def _populateForm(self, oForm, oData):
"""Construct an HTML form"""
<|body_1|>
<|en... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WuiAdminFailureReason:
"""WUI Failure Reason HTML content generator."""
def __init__(self, oFailureReasonData, sMode, oDisp):
"""Prepare & initialize parent"""
sTitle = 'Failure Reason'
if sMode == WuiFormContentBase.ksMode_Add:
sTitle = 'Add' + sTitle
elif sMo... | the_stack_v2_python_sparse | third_party/virtualbox/src/VBox/ValidationKit/testmanager/webui/wuiadminfailurereason.py | thalium/icebox | train | 585 |
277dd2c2997935969ff24de53b6f84f65d796bd9 | [
"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 Ad service. Service to manage ads. | AdServiceServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
<|body_0|>
def MutateAds(self, request, context):
"""Updates ads. Operation statuses are return... | stack_v2_sparse_classes_75kplus_train_074635 | 2,941 | permissive | [
{
"docstring": "Returns the requested ad in full detail.",
"name": "GetAd",
"signature": "def GetAd(self, request, context)"
},
{
"docstring": "Updates ads. Operation statuses are returned.",
"name": "MutateAds",
"signature": "def MutateAds(self, request, context)"
}
] | 2 | stack_v2_sparse_classes_30k_train_052640 | Implement the Python class `AdServiceServicer` described below.
Class description:
Proto file describing the Ad service. Service to manage ads.
Method signatures and docstrings:
- def GetAd(self, request, context): Returns the requested ad in full detail.
- def MutateAds(self, request, context): Updates ads. Operatio... | Implement the Python class `AdServiceServicer` described below.
Class description:
Proto file describing the Ad service. Service to manage ads.
Method signatures and docstrings:
- def GetAd(self, request, context): Returns the requested ad in full detail.
- def MutateAds(self, request, context): Updates ads. Operatio... | a5b6cede64f4d9912ae6ad26927a54e40448c9fe | <|skeleton|>
class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
<|body_0|>
def MutateAds(self, request, context):
"""Updates ads. Operation statuses are return... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AdServiceServicer:
"""Proto file describing the Ad service. Service to manage ads."""
def GetAd(self, request, context):
"""Returns the requested ad in full detail."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotI... | the_stack_v2_python_sparse | google/ads/google_ads/v3/proto/services/ad_service_pb2_grpc.py | fiboknacky/google-ads-python | train | 0 |
5129f7af8e5c13ef606d107840dfac07714c3bc7 | [
"self.best = 0\nvisited = set()\nm, n = (len(grid), len(grid[0]))\n\ndef dfs(i, j, curr):\n visited.add((i, j))\n curr += grid[i][j]\n for di, dj in [[1, 0], [-1, 0], [0, 1], [0, -1]]:\n ii, jj = (i + di, j + dj)\n if ii >= 0 and ii < m and (jj >= 0) and (jj < n) and (grid[ii][jj] > 0) and ((... | <|body_start_0|>
self.best = 0
visited = set()
m, n = (len(grid), len(grid[0]))
def dfs(i, j, curr):
visited.add((i, j))
curr += grid[i][j]
for di, dj in [[1, 0], [-1, 0], [0, 1], [0, -1]]:
ii, jj = (i + di, j + dj)
if ... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def getMaximumGold(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_0|>
def solve2(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.best = 0
visited = set... | stack_v2_sparse_classes_75kplus_train_074636 | 2,972 | no_license | [
{
"docstring": ":type grid: List[List[int]] :rtype: int",
"name": "getMaximumGold",
"signature": "def getMaximumGold(self, grid)"
},
{
"docstring": ":type grid: List[List[int]] :rtype: int",
"name": "solve2",
"signature": "def solve2(self, grid)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMaximumGold(self, grid): :type grid: List[List[int]] :rtype: int
- def solve2(self, grid): :type grid: List[List[int]] :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def getMaximumGold(self, grid): :type grid: List[List[int]] :rtype: int
- def solve2(self, grid): :type grid: List[List[int]] :rtype: int
<|skeleton|>
class Solution:
def g... | a5cb862f0c5a3cfd21468141800568c2dedded0a | <|skeleton|>
class Solution:
def getMaximumGold(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_0|>
def solve2(self, grid):
""":type grid: List[List[int]] :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def getMaximumGold(self, grid):
""":type grid: List[List[int]] :rtype: int"""
self.best = 0
visited = set()
m, n = (len(grid), len(grid[0]))
def dfs(i, j, curr):
visited.add((i, j))
curr += grid[i][j]
for di, dj in [[1, 0],... | the_stack_v2_python_sparse | python/leetcode/dfs/1219_path_max_gold.py | Levintsky/topcoder | train | 0 | |
f56805e3c587874938203ecd1151a3e777b151ba | [
"logger.info('Getting Datary members')\nurl = urljoin(self.URL_BASE, 'search/members')\nparams = {'limit': kwargs.get('limit', None), 'hint': kwargs.get('hint', member_name)}\nresponse = self.request(url, 'GET', **{'headers': self.headers, 'params': params})\nmembers_data = response.json() if response else {}\nmemb... | <|body_start_0|>
logger.info('Getting Datary members')
url = urljoin(self.URL_BASE, 'search/members')
params = {'limit': kwargs.get('limit', None), 'hint': kwargs.get('hint', member_name)}
response = self.request(url, 'GET', **{'headers': self.headers, 'params': params})
members_... | Datary Members module class | DataryMembers | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataryMembers:
"""Datary Members module class"""
def get_members(self, member_uuid='', member_name='', **kwargs):
"""============== ============= ==================================== Parameter Type Description ============== ============= ==================================== member_u... | stack_v2_sparse_classes_75kplus_train_074637 | 3,174 | permissive | [
{
"docstring": "============== ============= ==================================== Parameter Type Description ============== ============= ==================================== member_uuid str member_uuid uuid member_name str member_name hint str hint to filter name limit int number of results limit (default=20) ... | 2 | stack_v2_sparse_classes_30k_train_007972 | Implement the Python class `DataryMembers` described below.
Class description:
Datary Members module class
Method signatures and docstrings:
- def get_members(self, member_uuid='', member_name='', **kwargs): ============== ============= ==================================== Parameter Type Description ============== ==... | Implement the Python class `DataryMembers` described below.
Class description:
Datary Members module class
Method signatures and docstrings:
- def get_members(self, member_uuid='', member_name='', **kwargs): ============== ============= ==================================== Parameter Type Description ============== ==... | 2790a50e1ad262cbe3210665dc34f497625e923d | <|skeleton|>
class DataryMembers:
"""Datary Members module class"""
def get_members(self, member_uuid='', member_name='', **kwargs):
"""============== ============= ==================================== Parameter Type Description ============== ============= ==================================== member_u... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DataryMembers:
"""Datary Members module class"""
def get_members(self, member_uuid='', member_name='', **kwargs):
"""============== ============= ==================================== Parameter Type Description ============== ============= ==================================== member_uuid str membe... | the_stack_v2_python_sparse | datary/members/members.py | Datary/python-sdk | train | 0 |
46b02a81b9d82f942a988fccb6c9aabc65694f49 | [
"filter = {'enable': 0, 'name': data['name'], 'project': data['project']}\ncount = VariableModel.query.filter_by(**filter).count()\nif not count:\n model = VariableModel(**data)\n db.session.add(model)\n db.session.commit()\nreturn count",
"model = VariableModel.query.get(data['id'])\nif model is not Non... | <|body_start_0|>
filter = {'enable': 0, 'name': data['name'], 'project': data['project']}
count = VariableModel.query.filter_by(**filter).count()
if not count:
model = VariableModel(**data)
db.session.add(model)
db.session.commit()
return count
<|end_b... | VariableService | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VariableService:
def create(self, data):
""":param data: :return:"""
<|body_0|>
def detele(self, data):
""":param data: :return:"""
<|body_1|>
def update(self, data):
"""# 使用id作为条件，更新数据库重的数据记录。 # 通过id查不到数据时增作为一条新的记录存入。 :param data: :return:"""
... | stack_v2_sparse_classes_75kplus_train_074638 | 8,621 | permissive | [
{
"docstring": ":param data: :return:",
"name": "create",
"signature": "def create(self, data)"
},
{
"docstring": ":param data: :return:",
"name": "detele",
"signature": "def detele(self, data)"
},
{
"docstring": "# 使用id作为条件，更新数据库重的数据记录。 # 通过id查不到数据时增作为一条新的记录存入。 :param data: :ret... | 4 | stack_v2_sparse_classes_30k_train_004082 | Implement the Python class `VariableService` described below.
Class description:
Implement the VariableService class.
Method signatures and docstrings:
- def create(self, data): :param data: :return:
- def detele(self, data): :param data: :return:
- def update(self, data): # 使用id作为条件，更新数据库重的数据记录。 # 通过id查不到数据时增作为一条新的记... | Implement the Python class `VariableService` described below.
Class description:
Implement the VariableService class.
Method signatures and docstrings:
- def create(self, data): :param data: :return:
- def detele(self, data): :param data: :return:
- def update(self, data): # 使用id作为条件，更新数据库重的数据记录。 # 通过id查不到数据时增作为一条新的记... | 54dc4000263ab9e8873f0d429a7fe48b11fb727a | <|skeleton|>
class VariableService:
def create(self, data):
""":param data: :return:"""
<|body_0|>
def detele(self, data):
""":param data: :return:"""
<|body_1|>
def update(self, data):
"""# 使用id作为条件，更新数据库重的数据记录。 # 通过id查不到数据时增作为一条新的记录存入。 :param data: :return:"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class VariableService:
def create(self, data):
""":param data: :return:"""
filter = {'enable': 0, 'name': data['name'], 'project': data['project']}
count = VariableModel.query.filter_by(**filter).count()
if not count:
model = VariableModel(**data)
db.session.a... | the_stack_v2_python_sparse | clover/environment/service.py | taoyanli0808/clover | train | 18 | |
a5428b1a799611dac61e81dbc7ee2f8a16a80f57 | [
"if str2bool(value):\n return queryset.filter(status__in=BuildStatusGroups.ACTIVE_CODES)\nelse:\n return queryset.exclude(status__in=BuildStatusGroups.ACTIVE_CODES)",
"if str2bool(value):\n return queryset.filter(Build.OVERDUE_FILTER)\nelse:\n return queryset.exclude(Build.OVERDUE_FILTER)",
"value =... | <|body_start_0|>
if str2bool(value):
return queryset.filter(status__in=BuildStatusGroups.ACTIVE_CODES)
else:
return queryset.exclude(status__in=BuildStatusGroups.ACTIVE_CODES)
<|end_body_0|>
<|body_start_1|>
if str2bool(value):
return queryset.filter(Build.OV... | Custom filterset for BuildList API endpoint. | BuildFilter | [
"MIT",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BuildFilter:
"""Custom filterset for BuildList API endpoint."""
def filter_active(self, queryset, name, value):
"""Filter the queryset to either include or exclude orders which are active."""
<|body_0|>
def filter_overdue(self, queryset, name, value):
"""Filter t... | stack_v2_sparse_classes_75kplus_train_074639 | 20,912 | permissive | [
{
"docstring": "Filter the queryset to either include or exclude orders which are active.",
"name": "filter_active",
"signature": "def filter_active(self, queryset, name, value)"
},
{
"docstring": "Filter the queryset to either include or exclude orders which are overdue.",
"name": "filter_o... | 5 | stack_v2_sparse_classes_30k_test_002230 | Implement the Python class `BuildFilter` described below.
Class description:
Custom filterset for BuildList API endpoint.
Method signatures and docstrings:
- def filter_active(self, queryset, name, value): Filter the queryset to either include or exclude orders which are active.
- def filter_overdue(self, queryset, n... | Implement the Python class `BuildFilter` described below.
Class description:
Custom filterset for BuildList API endpoint.
Method signatures and docstrings:
- def filter_active(self, queryset, name, value): Filter the queryset to either include or exclude orders which are active.
- def filter_overdue(self, queryset, n... | e88a8e99a5f0b201c67a95cba097c729f090d5e2 | <|skeleton|>
class BuildFilter:
"""Custom filterset for BuildList API endpoint."""
def filter_active(self, queryset, name, value):
"""Filter the queryset to either include or exclude orders which are active."""
<|body_0|>
def filter_overdue(self, queryset, name, value):
"""Filter t... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BuildFilter:
"""Custom filterset for BuildList API endpoint."""
def filter_active(self, queryset, name, value):
"""Filter the queryset to either include or exclude orders which are active."""
if str2bool(value):
return queryset.filter(status__in=BuildStatusGroups.ACTIVE_CODES)... | the_stack_v2_python_sparse | InvenTree/build/api.py | inventree/InvenTree | train | 3,077 |
2b86ad7377237ff364c0cc9cf19b7013f0ddf576 | [
"errors = {}\ninfo = None\ntry:\n info = await _validate_input(self.hass, user_input)\nexcept CannotConnect:\n errors['base'] = 'cannot_connect'\nexcept InvalidAuth:\n errors['base'] = 'invalid_auth'\nexcept Exception:\n LOGGER.exception('Unexpected exception')\n errors['base'] = 'unknown'\nreturn (i... | <|body_start_0|>
errors = {}
info = None
try:
info = await _validate_input(self.hass, user_input)
except CannotConnect:
errors['base'] = 'cannot_connect'
except InvalidAuth:
errors['base'] = 'invalid_auth'
except Exception:
... | Handle a config flow for Shark IQ. | SharkIqConfigFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SharkIqConfigFlow:
"""Handle a config flow for Shark IQ."""
async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]:
"""Validate form input."""
<|body_0|>
async def async_step_user(self, user_input: dict[str, s... | stack_v2_sparse_classes_75kplus_train_074640 | 3,907 | permissive | [
{
"docstring": "Validate form input.",
"name": "_async_validate_input",
"signature": "async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]"
},
{
"docstring": "Handle the initial step.",
"name": "async_step_user",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_039535 | Implement the Python class `SharkIqConfigFlow` described below.
Class description:
Handle a config flow for Shark IQ.
Method signatures and docstrings:
- async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]: Validate form input.
- async def async_step_us... | Implement the Python class `SharkIqConfigFlow` described below.
Class description:
Handle a config flow for Shark IQ.
Method signatures and docstrings:
- async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]: Validate form input.
- async def async_step_us... | bfa315be51371a1b63e04342a0b275a57ae148bd | <|skeleton|>
class SharkIqConfigFlow:
"""Handle a config flow for Shark IQ."""
async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]:
"""Validate form input."""
<|body_0|>
async def async_step_user(self, user_input: dict[str, s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class SharkIqConfigFlow:
"""Handle a config flow for Shark IQ."""
async def _async_validate_input(self, user_input: Mapping[str, Any]) -> tuple[dict[str, str] | None, dict[str, str]]:
"""Validate form input."""
errors = {}
info = None
try:
info = await _validate_inpu... | the_stack_v2_python_sparse | homeassistant/components/sharkiq/config_flow.py | bdraco/home-assistant | train | 13 |
35134a0b7f7b9fa786f613844caaffa15f45440d | [
"storage = get_storage()\noutages = storage.read_report_outages(str(report_id))\nreturn jsonify(ReportOutageSchema(many=True).dump(outages))",
"body = request.get_json()\ntry:\n outage_object = OutagePostSchema().load(body)\nexcept ValidationError as err:\n raise BadAPIRequest(err.messages)\nif outage_objec... | <|body_start_0|>
storage = get_storage()
outages = storage.read_report_outages(str(report_id))
return jsonify(ReportOutageSchema(many=True).dump(outages))
<|end_body_0|>
<|body_start_1|>
body = request.get_json()
try:
outage_object = OutagePostSchema().load(body)
... | ReportOutageView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReportOutageView:
def get(self, report_id):
"""--- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content: application/json: schema: $ref: '#/components/schemas/ReportOutageSchema' 401: $ref: '#/components/resp... | stack_v2_sparse_classes_75kplus_train_074641 | 15,383 | permissive | [
{
"docstring": "--- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content: application/json: schema: $ref: '#/components/schemas/ReportOutageSchema' 401: $ref: '#/components/responses/401-Unauthorized' 404: $ref: '#/components/respon... | 2 | null | Implement the Python class `ReportOutageView` described below.
Class description:
Implement the ReportOutageView class.
Method signatures and docstrings:
- def get(self, report_id): --- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content... | Implement the Python class `ReportOutageView` described below.
Class description:
Implement the ReportOutageView class.
Method signatures and docstrings:
- def get(self, report_id): --- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content... | 280800c73eb7cfd49029462b352887e78f1ff91b | <|skeleton|>
class ReportOutageView:
def get(self, report_id):
"""--- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content: application/json: schema: $ref: '#/components/schemas/ReportOutageSchema' 401: $ref: '#/components/resp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ReportOutageView:
def get(self, report_id):
"""--- summary: Get report outage data. tags: - Reports parameters: - report_id responses: 200: description: Successfully retrieved content: application/json: schema: $ref: '#/components/schemas/ReportOutageSchema' 401: $ref: '#/components/responses/401-Unau... | the_stack_v2_python_sparse | sfa_api/reports.py | SolarArbiter/solarforecastarbiter-api | train | 9 | |
760b969fe36b47e6d3ed46d2248849b5cf74baaf | [
"with sqlite3.connect('example.db') as conn:\n c = conn.cursor()\n try:\n c.execute('create table stocks\\n (date text, trans text, symbol text, qty real, price real)')\n except sqlite3.OperationalError:\n pass\n timestamp = time()\n date = datetime.fromtimestamp(timestamp).str... | <|body_start_0|>
with sqlite3.connect('example.db') as conn:
c = conn.cursor()
try:
c.execute('create table stocks\n (date text, trans text, symbol text, qty real, price real)')
except sqlite3.OperationalError:
pass
timesta... | A simplified class to buy stock in Amazon | Amazon | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the s... | stack_v2_sparse_classes_75kplus_train_074642 | 2,429 | no_license | [
{
"docstring": "Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the stocks were purchased",
"name": "buy_amazon",
"signature": "def buy_amazon(self, quantity, purchase_price)"
},... | 4 | stack_v2_sparse_classes_30k_train_005683 | Implement the Python class `Amazon` described below.
Class description:
A simplified class to buy stock in Amazon
Method signatures and docstrings:
- def buy_amazon(self, quantity, purchase_price): Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to p... | Implement the Python class `Amazon` described below.
Class description:
A simplified class to buy stock in Amazon
Method signatures and docstrings:
- def buy_amazon(self, quantity, purchase_price): Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to p... | fb2d1a903fd287e0dbc963963f322eccdc1546bb | <|skeleton|>
class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the s... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Amazon:
"""A simplified class to buy stock in Amazon"""
def buy_amazon(self, quantity, purchase_price):
"""Allows a user to purchase Amazon stock Method arguments ---------------- quantity -- (integer) The number of stocks to purchase purchase_price -- (real) The price at which the stocks were pu... | the_stack_v2_python_sparse | NSS/practice/python_and_sql/amazon.py | megducharme/Python_Exercises | train | 0 |
fbff203e89c00707a55d7a3e9c31efc42194a2e9 | [
"mocker.patch.object(Display, 'start', retuen_value=None)\nmocker.patch.object(webdriver, 'Chrome', side_effect=self.MockChrome)\nmocker.patch.object(webdriver, 'ChromeOptions', side_effect=self.MockChromeOptions)\ndriver = init_driver(include_url=include_url)\nassert ('--headless' in driver.options) != include_url... | <|body_start_0|>
mocker.patch.object(Display, 'start', retuen_value=None)
mocker.patch.object(webdriver, 'Chrome', side_effect=self.MockChrome)
mocker.patch.object(webdriver, 'ChromeOptions', side_effect=self.MockChromeOptions)
driver = init_driver(include_url=include_url)
assert... | TestRasterizeIncludeUrl | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestRasterizeIncludeUrl:
def test_headless_chrome_option(self, mocker, include_url):
"""Given: - A parameter that mention whether to include the URL bar in the screenshot. When: - Running the 'rasterize' function. Then: - Verify that it runs as expected."""
<|body_0|>
def te... | stack_v2_sparse_classes_75kplus_train_074643 | 13,311 | permissive | [
{
"docstring": "Given: - A parameter that mention whether to include the URL bar in the screenshot. When: - Running the 'rasterize' function. Then: - Verify that it runs as expected.",
"name": "test_headless_chrome_option",
"signature": "def test_headless_chrome_option(self, mocker, include_url)"
},
... | 2 | stack_v2_sparse_classes_30k_train_029038 | Implement the Python class `TestRasterizeIncludeUrl` described below.
Class description:
Implement the TestRasterizeIncludeUrl class.
Method signatures and docstrings:
- def test_headless_chrome_option(self, mocker, include_url): Given: - A parameter that mention whether to include the URL bar in the screenshot. When... | Implement the Python class `TestRasterizeIncludeUrl` described below.
Class description:
Implement the TestRasterizeIncludeUrl class.
Method signatures and docstrings:
- def test_headless_chrome_option(self, mocker, include_url): Given: - A parameter that mention whether to include the URL bar in the screenshot. When... | 890def5a0e0ae8d6eaa538148249ddbc851dbb6b | <|skeleton|>
class TestRasterizeIncludeUrl:
def test_headless_chrome_option(self, mocker, include_url):
"""Given: - A parameter that mention whether to include the URL bar in the screenshot. When: - Running the 'rasterize' function. Then: - Verify that it runs as expected."""
<|body_0|>
def te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestRasterizeIncludeUrl:
def test_headless_chrome_option(self, mocker, include_url):
"""Given: - A parameter that mention whether to include the URL bar in the screenshot. When: - Running the 'rasterize' function. Then: - Verify that it runs as expected."""
mocker.patch.object(Display, 'start'... | the_stack_v2_python_sparse | Packs/rasterize/Integrations/rasterize/rasterize_test.py | demisto/content | train | 1,023 | |
529500ebaa23b4e2bb0464f784198acbf60b74e6 | [
"if from_unicode:\n table = str.maketrans(cls.ALLOWED_CHARACTERS, cls.TRANSLATED_CHARACTERS)\nelse:\n table = str.maketrans(cls.TRANSLATED_CHARACTERS, cls.ALLOWED_CHARACTERS)\nreturn name.translate(table)",
"argument = '-'.join(argument.split())\nif not 2 <= len(argument) <= 96:\n raise BadArgument('Chan... | <|body_start_0|>
if from_unicode:
table = str.maketrans(cls.ALLOWED_CHARACTERS, cls.TRANSLATED_CHARACTERS)
else:
table = str.maketrans(cls.TRANSLATED_CHARACTERS, cls.ALLOWED_CHARACTERS)
return name.translate(table)
<|end_body_0|>
<|body_start_1|>
argument = '-'.j... | A converter that ensures an added off-topic name is valid. | OffTopicName | [
"MIT",
"BSD-3-Clause",
"Python-2.0",
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OffTopicName:
"""A converter that ensures an added off-topic name is valid."""
def translate_name(cls, name: str, *, from_unicode: bool=True) -> str:
"""Translates `name` into a format that is allowed in discord channel names. If `from_unicode` is True, the name is translated from a ... | stack_v2_sparse_classes_75kplus_train_074644 | 19,551 | permissive | [
{
"docstring": "Translates `name` into a format that is allowed in discord channel names. If `from_unicode` is True, the name is translated from a discord-safe format, back to normalized text.",
"name": "translate_name",
"signature": "def translate_name(cls, name: str, *, from_unicode: bool=True) -> str... | 2 | null | Implement the Python class `OffTopicName` described below.
Class description:
A converter that ensures an added off-topic name is valid.
Method signatures and docstrings:
- def translate_name(cls, name: str, *, from_unicode: bool=True) -> str: Translates `name` into a format that is allowed in discord channel names. ... | Implement the Python class `OffTopicName` described below.
Class description:
A converter that ensures an added off-topic name is valid.
Method signatures and docstrings:
- def translate_name(cls, name: str, *, from_unicode: bool=True) -> str: Translates `name` into a format that is allowed in discord channel names. ... | f2048684291cc6358565e96ef3562512fbeb2505 | <|skeleton|>
class OffTopicName:
"""A converter that ensures an added off-topic name is valid."""
def translate_name(cls, name: str, *, from_unicode: bool=True) -> str:
"""Translates `name` into a format that is allowed in discord channel names. If `from_unicode` is True, the name is translated from a ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OffTopicName:
"""A converter that ensures an added off-topic name is valid."""
def translate_name(cls, name: str, *, from_unicode: bool=True) -> str:
"""Translates `name` into a format that is allowed in discord channel names. If `from_unicode` is True, the name is translated from a discord-safe ... | the_stack_v2_python_sparse | bot/converters.py | python-discord/bot | train | 1,479 |
b3b2488d4f3f93176b87d8bb9e5a89c801738696 | [
"if self.comment:\n return '{} reported a comment.'.format(self.reporter.profile.screen_name())\nelse:\n return '{} reported a subject entitled \"{}\" posted by \"{}\".'.format(self.reporter.profile.screen_name(), self.subject, self.subject.author)",
"if boards_slug:\n reports = Report.objects.filter(act... | <|body_start_0|>
if self.comment:
return '{} reported a comment.'.format(self.reporter.profile.screen_name())
else:
return '{} reported a subject entitled "{}" posted by "{}".'.format(self.reporter.profile.screen_name(), self.subject, self.subject.author)
<|end_body_0|>
<|body_s... | Model that represents a report. | Report | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Report:
"""Model that represents a report."""
def __str__(self):
"""Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at the time of report creation."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus_train_074645 | 2,055 | permissive | [
{
"docstring": "Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at the time of report creation.",
"name": "__str__",
"signature": "def __str__(self)"
},
{
"docstring": "Returns a list of re... | 2 | stack_v2_sparse_classes_30k_test_001439 | Implement the Python class `Report` described below.
Class description:
Model that represents a report.
Method signatures and docstrings:
- def __str__(self): Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at t... | Implement the Python class `Report` described below.
Class description:
Model that represents a report.
Method signatures and docstrings:
- def __str__(self): Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at t... | 753ec3b5a38f4f5d15bd451400b0374f7ffcdfa6 | <|skeleton|>
class Report:
"""Model that represents a report."""
def __str__(self):
"""Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at the time of report creation."""
<|body_0|>
de... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Report:
"""Model that represents a report."""
def __str__(self):
"""Unicode representation for a report model based on report type check. P.S: This model needs to have a CharField with choices [REPORT_TYPES] to be selected at the time of report creation."""
if self.comment:
re... | the_stack_v2_python_sparse | reports/models.py | bangrobe/elmer | train | 0 |
188a339b9f054563058781511166e34648cc4dd2 | [
"def max_depth(self, root):\n if not root:\n return 0\n l_d = self.max_depth(root.left)\n r_d = self.max_depth(root.right)\n if l_d == -1 or r_d == -1 or abs(l_d - r_d) >= 2:\n return -1\n return (l_d if l_d > r_d else r_d) + 1\nreturn self.max_depth(root) != -1",
"self.c = True\n\nde... | <|body_start_0|>
def max_depth(self, root):
if not root:
return 0
l_d = self.max_depth(root.left)
r_d = self.max_depth(root.right)
if l_d == -1 or r_d == -1 or abs(l_d - r_d) >= 2:
return -1
return (l_d if l_d > r_d else... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def isBalanced(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isBalancedEasy(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def max_depth(self, root):
if n... | stack_v2_sparse_classes_75kplus_train_074646 | 1,231 | no_license | [
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isBalanced",
"signature": "def isBalanced(self, root)"
},
{
"docstring": ":type root: TreeNode :rtype: bool",
"name": "isBalancedEasy",
"signature": "def isBalancedEasy(self, root)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014293 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isBalanced(self, root): :type root: TreeNode :rtype: bool
- def isBalancedEasy(self, root): :type root: TreeNode :rtype: bool | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def isBalanced(self, root): :type root: TreeNode :rtype: bool
- def isBalancedEasy(self, root): :type root: TreeNode :rtype: bool
<|skeleton|>
class Solution:
def isBalance... | ac53dd9bf2c4c9d17c9dc5f7fdda32e386658fdd | <|skeleton|>
class Solution:
def isBalanced(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_0|>
def isBalancedEasy(self, root):
""":type root: TreeNode :rtype: bool"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def isBalanced(self, root):
""":type root: TreeNode :rtype: bool"""
def max_depth(self, root):
if not root:
return 0
l_d = self.max_depth(root.left)
r_d = self.max_depth(root.right)
if l_d == -1 or r_d == -1 or abs(l_d -... | the_stack_v2_python_sparse | cs_notes/tree/recursive/balanced_binary_tree.py | hwc1824/LeetCodeSolution | train | 0 | |
b2f0f1994b67e2fa43f1ceaea58a66aed4775d50 | [
"result = ''\nfor i in range(len(self.table)):\n e = self.table[i]\n if not e == None:\n result += str(i) + ': '\n result += e.EntryToStr() + '\\n'\nreturn result",
"hashval = 0\nfor letter in name:\n hashval += ord(letter) - ord('a')\nhallnum = hashval % len(self.table)\nreturn hallnum",
... | <|body_start_0|>
result = ''
for i in range(len(self.table)):
e = self.table[i]
if not e == None:
result += str(i) + ': '
result += e.EntryToStr() + '\n'
return result
<|end_body_0|>
<|body_start_1|>
hashval = 0
for letter ... | The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the number of elements in occupying the hashtable | HashTable | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HashTable:
"""The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the number of elements in occupying the ha... | stack_v2_sparse_classes_75kplus_train_074647 | 4,321 | permissive | [
{
"docstring": "HashTableToStr: HashTable -> String",
"name": "HashTableToStr",
"signature": "def HashTableToStr(self)"
},
{
"docstring": "hash_function: K NatNum -> NatNum Compute a hash of the val string that is in [0 ... n).",
"name": "hash_function",
"signature": "def hash_function(s... | 6 | null | Implement the Python class `HashTable` described below.
Class description:
The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the... | Implement the Python class `HashTable` described below.
Class description:
The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the... | fdf458c3f066509a7786eba0cc1896c720facf8b | <|skeleton|>
class HashTable:
"""The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the number of elements in occupying the ha... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HashTable:
"""The HashTable data structure contains a collection of values where each value is located by a hashable key. No two values may have the same key, but more than one key may have the same value. table is the list holding the hash table size is the number of elements in occupying the hashtable"""
... | the_stack_v2_python_sparse | Computer Science 1/Labs/lab9/hashtable.py | pab3507/RIT | train | 0 |
af910c21e747ee2cd5297bab45d2fdc2de4348a5 | [
"tensor_data = np.random.rand(4, 2).astype(np.float16)\nwith Graph('test_graph', 'Reference') as test_graph:\n input_tensor = Tensor(tensor_data=tensor_data)\n act = input_data(input_tensor, 'input')\ngraph_proto, tensor_data_array = test_graph.to_proto()\nnode = get_node_proto(graph_proto, 'input')\nself.ass... | <|body_start_0|>
tensor_data = np.random.rand(4, 2).astype(np.float16)
with Graph('test_graph', 'Reference') as test_graph:
input_tensor = Tensor(tensor_data=tensor_data)
act = input_data(input_tensor, 'input')
graph_proto, tensor_data_array = test_graph.to_proto()
... | FP16Test | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FP16Test:
def test_fp16_even(self):
"""Test float16 packing when tensor's last dimension is of even size"""
<|body_0|>
def test_fp16_odd(self):
"""Test float16 packing when tensor's last dimension is of odd size"""
<|body_1|>
def test_fp16_odd_odd(self):... | stack_v2_sparse_classes_75kplus_train_074648 | 6,830 | permissive | [
{
"docstring": "Test float16 packing when tensor's last dimension is of even size",
"name": "test_fp16_even",
"signature": "def test_fp16_even(self)"
},
{
"docstring": "Test float16 packing when tensor's last dimension is of odd size",
"name": "test_fp16_odd",
"signature": "def test_fp16... | 3 | stack_v2_sparse_classes_30k_train_047453 | Implement the Python class `FP16Test` described below.
Class description:
Implement the FP16Test class.
Method signatures and docstrings:
- def test_fp16_even(self): Test float16 packing when tensor's last dimension is of even size
- def test_fp16_odd(self): Test float16 packing when tensor's last dimension is of odd... | Implement the Python class `FP16Test` described below.
Class description:
Implement the FP16Test class.
Method signatures and docstrings:
- def test_fp16_even(self): Test float16 packing when tensor's last dimension is of even size
- def test_fp16_odd(self): Test float16 packing when tensor's last dimension is of odd... | 01ef7892bb25cb08c13cea6125efc1528a8de260 | <|skeleton|>
class FP16Test:
def test_fp16_even(self):
"""Test float16 packing when tensor's last dimension is of even size"""
<|body_0|>
def test_fp16_odd(self):
"""Test float16 packing when tensor's last dimension is of odd size"""
<|body_1|>
def test_fp16_odd_odd(self):... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class FP16Test:
def test_fp16_even(self):
"""Test float16 packing when tensor's last dimension is of even size"""
tensor_data = np.random.rand(4, 2).astype(np.float16)
with Graph('test_graph', 'Reference') as test_graph:
input_tensor = Tensor(tensor_data=tensor_data)
... | the_stack_v2_python_sparse | smaug/python/tensor_test.py | mrbeann/smaug | train | 0 | |
753eefe82065abea9c232797c7265e06b6527696 | [
"self.dropout_rate = dropout_rate\nself.num_layers = num_layers\nself.lengths = lengths\nif embedded_chars is not None:\n self.embedding_dims = embedded_chars.shape[-1].value\nself.is_training = is_training\nself.rnn_size = rnn_size",
"with tf.variable_scope('rnn_layer'):\n cell_fw = [get_rnn_cell(self.rnn_... | <|body_start_0|>
self.dropout_rate = dropout_rate
self.num_layers = num_layers
self.lengths = lengths
if embedded_chars is not None:
self.embedding_dims = embedded_chars.shape[-1].value
self.is_training = is_training
self.rnn_size = rnn_size
<|end_body_0|>
<|... | BLSTM | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BLSTM:
def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None):
"""BLSTM网络"""
<|body_0|>
def blstm_layer(self, input):
""":return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
sel... | stack_v2_sparse_classes_75kplus_train_074649 | 2,643 | no_license | [
{
"docstring": "BLSTM网络",
"name": "__init__",
"signature": "def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None)"
},
{
"docstring": ":return:",
"name": "blstm_layer",
"signature": "def blstm_layer(self, input)"
}
] | 2 | stack_v2_sparse_classes_30k_test_000950 | Implement the Python class `BLSTM` described below.
Class description:
Implement the BLSTM class.
Method signatures and docstrings:
- def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None): BLSTM网络
- def blstm_layer(self, input): :return: | Implement the Python class `BLSTM` described below.
Class description:
Implement the BLSTM class.
Method signatures and docstrings:
- def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None): BLSTM网络
- def blstm_layer(self, input): :return:
<|skeleton... | ad6b3299ebbe32837f3d6e20c2c9190d6a8c934a | <|skeleton|>
class BLSTM:
def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None):
"""BLSTM网络"""
<|body_0|>
def blstm_layer(self, input):
""":return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BLSTM:
def __init__(self, embedded_chars=None, rnn_size=None, num_layers=None, dropout_rate=None, lengths=None, is_training=None):
"""BLSTM网络"""
self.dropout_rate = dropout_rate
self.num_layers = num_layers
self.lengths = lengths
if embedded_chars is not None:
... | the_stack_v2_python_sparse | models/layers/lstm_layers.py | qiufengyuyi/sequence_tagging | train | 444 | |
eb2daeed6c976b9c8d840e001297060c3de78b48 | [
"timestamp = self._GetRowValue(query_hash, row, value_name)\nif timestamp is None:\n return None\nreturn dfdatetime_cocoa_time.CocoaTime(timestamp=timestamp)",
"query_hash = hash(query)\nevent_data = IOSKikMessageEventData()\nevent_data.body = self._GetRowValue(query_hash, row, 'ZBODY')\nevent_data.displayname... | <|body_start_0|>
timestamp = self._GetRowValue(query_hash, row, value_name)
if timestamp is None:
return None
return dfdatetime_cocoa_time.CocoaTime(timestamp=timestamp)
<|end_body_0|>
<|body_start_1|>
query_hash = hash(query)
event_data = IOSKikMessageEventData()
... | SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite | IOSKikPlugin | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IOSKikPlugin:
"""SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite"""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): h... | stack_v2_sparse_classes_75kplus_train_074650 | 7,030 | permissive | [
{
"docstring": "Retrieves a date and time value from the row. Args: query_hash (int): hash of the query, that uniquely identifies the query that produced the row. row (sqlite3.Row): row. value_name (str): name of the value. Returns: dfdatetime.CocoaTime: date and time value or None if not available.",
"name... | 2 | null | Implement the Python class `IOSKikPlugin` described below.
Class description:
SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a da... | Implement the Python class `IOSKikPlugin` described below.
Class description:
SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite
Method signatures and docstrings:
- def _GetDateTimeRowValue(self, query_hash, row, value_name): Retrieves a da... | d6022f8cfebfddf2d08ab2d300a41b61f3349933 | <|skeleton|>
class IOSKikPlugin:
"""SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite"""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): h... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class IOSKikPlugin:
"""SQLite parser plugin for iOS Kik messenger database files. The OS Kik messenger database file is typically stored in: kik.sqlite"""
def _GetDateTimeRowValue(self, query_hash, row, value_name):
"""Retrieves a date and time value from the row. Args: query_hash (int): hash of the qu... | the_stack_v2_python_sparse | plaso/parsers/sqlite_plugins/ios_kik.py | log2timeline/plaso | train | 1,506 |
68a1369ce6e0c512ef47948f8fb1704befa16506 | [
"from shap import TreeExplainer\nself.model = model\nself.feature_names = feature_names\nself.feature_types = feature_types\nself.feature_names_in_ = None\nself.feature_types_in_ = None\nif data is not None:\n data, n_samples = preclean_X(data, feature_names, feature_types)\n data, self.feature_names_in_, sel... | <|body_start_0|>
from shap import TreeExplainer
self.model = model
self.feature_names = feature_names
self.feature_types = feature_types
self.feature_names_in_ = None
self.feature_types_in_ = None
if data is not None:
data, n_samples = preclean_X(data,... | Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap | ShapTree | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ShapTree:
"""Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap"""
def __init__(self, model, data, feature_names=None, feature_types=None, **kwargs):
"""Initializes cl... | stack_v2_sparse_classes_75kplus_train_074651 | 2,765 | permissive | [
{
"docstring": "Initializes class. Args: model: A tree object that works with Tree SHAP. data: Data used to initialize SHAP with. feature_names: List of feature names. feature_types: List of feature types. **kwargs: Kwargs that will be sent to shap.TreeExplainer",
"name": "__init__",
"signature": "def _... | 2 | stack_v2_sparse_classes_30k_train_008330 | Implement the Python class `ShapTree` described below.
Class description:
Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap
Method signatures and docstrings:
- def __init__(self, model, data, feature_... | Implement the Python class `ShapTree` described below.
Class description:
Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap
Method signatures and docstrings:
- def __init__(self, model, data, feature_... | e6f38ea195aecbbd9d28c7183a83c65ada16e1ae | <|skeleton|>
class ShapTree:
"""Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap"""
def __init__(self, model, data, feature_names=None, feature_types=None, **kwargs):
"""Initializes cl... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ShapTree:
"""Exposes tree specific SHAP approximation, in interpret API form. If using this please cite the original authors as can be found here: https://github.com/slundberg/shap"""
def __init__(self, model, data, feature_names=None, feature_types=None, **kwargs):
"""Initializes class. Args: mo... | the_stack_v2_python_sparse | python/interpret-core/interpret/greybox/_shaptree.py | interpretml/interpret | train | 3,731 |
90425e2dbd2b60857448beaf3e25a0ebedece362 | [
"reply = self.send('home')\nself.poll_until_idle()\nreturn reply",
"reply = self.send('move abs {0:d}'.format(position))\nif blocking:\n self.poll_until_idle()\nreturn reply",
"reply = self.send('move rel {0:d}'.format(distance))\nif blocking:\n self.poll_until_idle()\nreturn reply",
"reply = self.send(... | <|body_start_0|>
reply = self.send('home')
self.poll_until_idle()
return reply
<|end_body_0|>
<|body_start_1|>
reply = self.send('move abs {0:d}'.format(position))
if blocking:
self.poll_until_idle()
return reply
<|end_body_1|>
<|body_start_2|>
reply... | Provides mixin giving ability to move device, axis or lockstep. | AsciiMovementMixin | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AsciiMovementMixin:
"""Provides mixin giving ability to move device, axis or lockstep."""
def home(self):
"""Sends the "home" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply received was not sent by the expected device or axis. Returns... | stack_v2_sparse_classes_75kplus_train_074652 | 4,039 | no_license | [
{
"docstring": "Sends the \"home\" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply received was not sent by the expected device or axis. Returns: An AsciiReply containing the first reply received.",
"name": "home",
"signature": "def home(self)"
},
{
... | 5 | stack_v2_sparse_classes_30k_train_014896 | Implement the Python class `AsciiMovementMixin` described below.
Class description:
Provides mixin giving ability to move device, axis or lockstep.
Method signatures and docstrings:
- def home(self): Sends the "home" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply rece... | Implement the Python class `AsciiMovementMixin` described below.
Class description:
Provides mixin giving ability to move device, axis or lockstep.
Method signatures and docstrings:
- def home(self): Sends the "home" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply rece... | 560367ddb85f72f0de458ee39d66ecbe8de1e1e7 | <|skeleton|>
class AsciiMovementMixin:
"""Provides mixin giving ability to move device, axis or lockstep."""
def home(self):
"""Sends the "home" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply received was not sent by the expected device or axis. Returns... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AsciiMovementMixin:
"""Provides mixin giving ability to move device, axis or lockstep."""
def home(self):
"""Sends the "home" command, then polls the device or axis until it is idle. Raises: UnexpectedReplyError: The reply received was not sent by the expected device or axis. Returns: An AsciiRep... | the_stack_v2_python_sparse | __v1/zaber/serial/asciimovementmixin.py | howwallace/howw-stage-controls | train | 0 |
2bf9f4f5ff93083a043872b4d83613e29206eb38 | [
"app_list = super().get_app_list(request)\nfor app in app_list:\n app['models'].sort(key=lambda m: model_order[m['name']])\nreturn app_list",
"app_dict = self._build_app_dict(request, app_label)\nif not app_dict:\n raise Http404('The requested admin page does not exist.')\napp_dict['models'].sort(key=lambda... | <|body_start_0|>
app_list = super().get_app_list(request)
for app in app_list:
app['models'].sort(key=lambda m: model_order[m['name']])
return app_list
<|end_body_0|>
<|body_start_1|>
app_dict = self._build_app_dict(request, app_label)
if not app_dict:
ra... | A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically. | AppAdminSite | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AppAdminSite:
"""A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically."""
def get_app_list(self, request):
"""Return a sorted list of all the installed apps that have been registered in this site, with custom ordering."""
... | stack_v2_sparse_classes_75kplus_train_074653 | 3,472 | permissive | [
{
"docstring": "Return a sorted list of all the installed apps that have been registered in this site, with custom ordering.",
"name": "get_app_list",
"signature": "def get_app_list(self, request)"
},
{
"docstring": "Overwrites the default AdminSite behaviour to use custom ordering with the mode... | 2 | null | Implement the Python class `AppAdminSite` described below.
Class description:
A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically.
Method signatures and docstrings:
- def get_app_list(self, request): Return a sorted list of all the installed apps that have been... | Implement the Python class `AppAdminSite` described below.
Class description:
A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically.
Method signatures and docstrings:
- def get_app_list(self, request): Return a sorted list of all the installed apps that have been... | 802a28b3a4ce33754b8a986f6d2eb616aad017d4 | <|skeleton|>
class AppAdminSite:
"""A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically."""
def get_app_list(self, request):
"""Return a sorted list of all the installed apps that have been registered in this site, with custom ordering."""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AppAdminSite:
"""A customised AdminSite that sorts apps and models according to a specified order, rather than alphabetically."""
def get_app_list(self, request):
"""Return a sorted list of all the installed apps that have been registered in this site, with custom ordering."""
app_list = ... | the_stack_v2_python_sparse | packages/django-backend/app/admin.py | ZechyW/cs-toolkit | train | 1 |
ae99ad175c99f95fdb10c9342cb983b20ff621f9 | [
"if not events:\n events = {}\nself.subscriptions = {}\nself.subscription_count = 0\nfor event_name in events.keys():\n self.subscribe(event_name, events.get(event_name))",
"self.subscription_count += 1\nif not self.subscriptions.get(event_name):\n self.subscriptions[event_name] = {}\nself.subscriptions[... | <|body_start_0|>
if not events:
events = {}
self.subscriptions = {}
self.subscription_count = 0
for event_name in events.keys():
self.subscribe(event_name, events.get(event_name))
<|end_body_0|>
<|body_start_1|>
self.subscription_count += 1
if not... | EventProvider | EventProvider | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EventProvider:
"""EventProvider"""
def __init__(self, events=None):
""":param events: (dict.<str, callable>) An object with event name keys and callback function values, optional"""
<|body_0|>
def subscribe(self, event_name, callback_func):
"""Subscribe to events... | stack_v2_sparse_classes_75kplus_train_074654 | 2,752 | permissive | [
{
"docstring": ":param events: (dict.<str, callable>) An object with event name keys and callback function values, optional",
"name": "__init__",
"signature": "def __init__(self, events=None)"
},
{
"docstring": "Subscribe to events :param event_name: (str) Event name, required :param callback_fu... | 4 | stack_v2_sparse_classes_30k_val_000412 | Implement the Python class `EventProvider` described below.
Class description:
EventProvider
Method signatures and docstrings:
- def __init__(self, events=None): :param events: (dict.<str, callable>) An object with event name keys and callback function values, optional
- def subscribe(self, event_name, callback_func)... | Implement the Python class `EventProvider` described below.
Class description:
EventProvider
Method signatures and docstrings:
- def __init__(self, events=None): :param events: (dict.<str, callable>) An object with event name keys and callback function values, optional
- def subscribe(self, event_name, callback_func)... | f3e9b1bb6c8e1984e3d758ab1fe1a71225ade13e | <|skeleton|>
class EventProvider:
"""EventProvider"""
def __init__(self, events=None):
""":param events: (dict.<str, callable>) An object with event name keys and callback function values, optional"""
<|body_0|>
def subscribe(self, event_name, callback_func):
"""Subscribe to events... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EventProvider:
"""EventProvider"""
def __init__(self, events=None):
""":param events: (dict.<str, callable>) An object with event name keys and callback function values, optional"""
if not events:
events = {}
self.subscriptions = {}
self.subscription_count = 0
... | the_stack_v2_python_sparse | target_tools/event_provider.py | 5amfung/target-python-sdk | train | 0 |
c512fea2319e3bb9f5a3963ac9424e8dd08e50ba | [
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"context.set_code(grpc.StatusCode.UNIMPLEMENTED)\ncontext.set_details('Method not implemented!')\nraise NotImplementedError('Method not implemented!')",
"conte... | <|body_start_0|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not implemented!')
raise NotImplementedError('Method not implemented!')
<|end_body_0|>
<|body_start_1|>
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
context.set_details('Method not im... | AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource. | AccountGrantsServicer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccountGrantsServicer:
"""AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource."""
def Create(self, request, context):
"""Create registers a new AccountGrant."""
<|body_0|>
def Get(self, request, context):
... | stack_v2_sparse_classes_75kplus_train_074655 | 7,980 | permissive | [
{
"docstring": "Create registers a new AccountGrant.",
"name": "Create",
"signature": "def Create(self, request, context)"
},
{
"docstring": "Get reads one AccountGrant by ID.",
"name": "Get",
"signature": "def Get(self, request, context)"
},
{
"docstring": "Delete removes a Acco... | 4 | stack_v2_sparse_classes_30k_train_016614 | Implement the Python class `AccountGrantsServicer` described below.
Class description:
AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource.
Method signatures and docstrings:
- def Create(self, request, context): Create registers a new AccountGrant.
- d... | Implement the Python class `AccountGrantsServicer` described below.
Class description:
AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource.
Method signatures and docstrings:
- def Create(self, request, context): Create registers a new AccountGrant.
- d... | 1f3a53ef8c404e64d9324f9fd13f5c39c71eaca5 | <|skeleton|>
class AccountGrantsServicer:
"""AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource."""
def Create(self, request, context):
"""Create registers a new AccountGrant."""
<|body_0|>
def Get(self, request, context):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccountGrantsServicer:
"""AccountGrants assign a resource directly to an account, giving the account the permission to connect to that resource."""
def Create(self, request, context):
"""Create registers a new AccountGrant."""
context.set_code(grpc.StatusCode.UNIMPLEMENTED)
contex... | the_stack_v2_python_sparse | strongdm/account_grants_pb2_grpc.py | strongdm/strongdm-sdk-python | train | 9 |
c045c01f855321240ac01a0ec8a6421caf0a0035 | [
"super(EncodingLayer, self).__init__()\nif first:\n features_out = features_in\n features_in = 1\nelse:\n features_in = features_in\n features_out = 2 * features_in\nself.basic = BasicBlock(features_in, features_out)\nself.pooling = pooling",
"if self.pooling is not None:\n x = self.pooling(x)\nout... | <|body_start_0|>
super(EncodingLayer, self).__init__()
if first:
features_out = features_in
features_in = 1
else:
features_in = features_in
features_out = 2 * features_in
self.basic = BasicBlock(features_in, features_out)
self.pooli... | Definition of encoding layer in FusionNet architecture. | EncodingLayer | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EncodingLayer:
"""Definition of encoding layer in FusionNet architecture."""
def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None):
"""Initialisation. Args: features_in: Number of input feature channels. first: Whether this is the first encoding layer. pool... | stack_v2_sparse_classes_75kplus_train_074656 | 8,294 | permissive | [
{
"docstring": "Initialisation. Args: features_in: Number of input feature channels. first: Whether this is the first encoding layer. pooling: (Optional) max pooling layer.",
"name": "__init__",
"signature": "def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None)"
},
{
... | 2 | stack_v2_sparse_classes_30k_train_006868 | Implement the Python class `EncodingLayer` described below.
Class description:
Definition of encoding layer in FusionNet architecture.
Method signatures and docstrings:
- def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None): Initialisation. Args: features_in: Number of input feature channe... | Implement the Python class `EncodingLayer` described below.
Class description:
Definition of encoding layer in FusionNet architecture.
Method signatures and docstrings:
- def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None): Initialisation. Args: features_in: Number of input feature channe... | fc0db7ca69d4149c736b8d0923272f14fb5693fe | <|skeleton|>
class EncodingLayer:
"""Definition of encoding layer in FusionNet architecture."""
def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None):
"""Initialisation. Args: features_in: Number of input feature channels. first: Whether this is the first encoding layer. pool... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class EncodingLayer:
"""Definition of encoding layer in FusionNet architecture."""
def __init__(self, features_in: int, first: bool=False, pooling: nn.Module=None):
"""Initialisation. Args: features_in: Number of input feature channels. first: Whether this is the first encoding layer. pooling: (Optiona... | the_stack_v2_python_sparse | models/fusionnet.py | charleshouston/unet-pytorch | train | 2 |
3d60b1e2bb7a94bdc268eb7268657a3716a05f9f | [
"Parametre.__init__(self, 'supprimer', 'del')\nself.schema = '<texte_libre>'\nself.aide_courte = 'supprime une ou plusieurs routes'\nself.aide_longue = \"Cette commande permet de supprimer une ou plusieurs routes. La syntaxe pour supprimer une route est de préciser sa salle d'origine et de destination, comme %route... | <|body_start_0|>
Parametre.__init__(self, 'supprimer', 'del')
self.schema = '<texte_libre>'
self.aide_courte = 'supprime une ou plusieurs routes'
self.aide_longue = "Cette commande permet de supprimer une ou plusieurs routes. La syntaxe pour supprimer une route est de préciser sa salle d... | Commande 'route supprimer' | PrmSupprimer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Méthode d'interprétation de commande"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_074657 | 3,607 | permissive | [
{
"docstring": "Constructeur du paramètre.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Méthode d'interprétation de commande",
"name": "interpreter",
"signature": "def interpreter(self, personnage, dic_masques)"
}
] | 2 | stack_v2_sparse_classes_30k_train_034782 | Implement the Python class `PrmSupprimer` described below.
Class description:
Commande 'route supprimer'
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre.
- def interpreter(self, personnage, dic_masques): Méthode d'interprétation de commande | Implement the Python class `PrmSupprimer` described below.
Class description:
Commande 'route supprimer'
Method signatures and docstrings:
- def __init__(self): Constructeur du paramètre.
- def interpreter(self, personnage, dic_masques): Méthode d'interprétation de commande
<|skeleton|>
class PrmSupprimer:
"""Co... | 7e93bff08cdf891352efba587e89c40f3b4a2301 | <|skeleton|>
class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
<|body_0|>
def interpreter(self, personnage, dic_masques):
"""Méthode d'interprétation de commande"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PrmSupprimer:
"""Commande 'route supprimer'"""
def __init__(self):
"""Constructeur du paramètre."""
Parametre.__init__(self, 'supprimer', 'del')
self.schema = '<texte_libre>'
self.aide_courte = 'supprime une ou plusieurs routes'
self.aide_longue = "Cette commande p... | the_stack_v2_python_sparse | src/secondaires/route/commandes/route/supprimer.py | vincent-lg/tsunami | train | 5 |
3979e02579609ca834bdde7ff64ba4cae70ffdc0 | [
"super().__init__()\nself.in_chans_x = in_chans_x\nself.in_chans_g = in_chans_g\nself.out_chans = out_chans\nself.W_x = nn.Sequential(nn.Conv2d(self.in_chans_x, out_chans, kernel_size=2, padding=0, stride=2, bias=False))\nself.W_g = nn.Sequential(nn.Conv2d(self.in_chans_g, out_chans, kernel_size=1, padding=0, bias=... | <|body_start_0|>
super().__init__()
self.in_chans_x = in_chans_x
self.in_chans_g = in_chans_g
self.out_chans = out_chans
self.W_x = nn.Sequential(nn.Conv2d(self.in_chans_x, out_chans, kernel_size=2, padding=0, stride=2, bias=False))
self.W_g = nn.Sequential(nn.Conv2d(self... | A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout. | AttentionGate | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AttentionGate:
"""A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout."""
def __init__(self, in_chans_x: int, in_chans_g: int, out_chans: int):
"""Parameters ---------- in_chans_x : int Number of inp... | stack_v2_sparse_classes_75kplus_train_074658 | 6,188 | permissive | [
{
"docstring": "Parameters ---------- in_chans_x : int Number of input channels of the input tensor `x`. in_chans_g : int Number of input channels of the input tensor `g`. out_chans : int Number of output channels.",
"name": "__init__",
"signature": "def __init__(self, in_chans_x: int, in_chans_g: int, ... | 2 | stack_v2_sparse_classes_30k_train_022838 | Implement the Python class `AttentionGate` described below.
Class description:
A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout.
Method signatures and docstrings:
- def __init__(self, in_chans_x: int, in_chans_g: int, out_chans: i... | Implement the Python class `AttentionGate` described below.
Class description:
A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout.
Method signatures and docstrings:
- def __init__(self, in_chans_x: int, in_chans_g: int, out_chans: i... | 6d15dd55ca5ed6fc9fbfd31d8488ee7bab453066 | <|skeleton|>
class AttentionGate:
"""A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout."""
def __init__(self, in_chans_x: int, in_chans_g: int, out_chans: int):
"""Parameters ---------- in_chans_x : int Number of inp... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AttentionGate:
"""A Convolutional Block that consists of two convolution layers each followed by instance normalization, LeakyReLU, activation and dropout."""
def __init__(self, in_chans_x: int, in_chans_g: int, out_chans: int):
"""Parameters ---------- in_chans_x : int Number of input channels o... | the_stack_v2_python_sparse | mridc/collections/segmentation/models/attention_unet_base/attention_unet_block.py | wdika/mridc | train | 40 |
359dce2dc2a424056a9dedcfdc7643319dd07957 | [
"super().__init__()\nself.input_mean = torch.Tensor([0.3521554, 0.30068502, 0.28527516])\nself.input_std = torch.Tensor([0.18182722, 0.18656468, 0.15938024])\nc = 3\nself.use_skip = use_skip\nself.n_conv = len(layers)\nskip_layer_size = [3] + layers[:-1]\nfor i, l in enumerate(layers):\n self.add_module('conv%d'... | <|body_start_0|>
super().__init__()
self.input_mean = torch.Tensor([0.3521554, 0.30068502, 0.28527516])
self.input_std = torch.Tensor([0.18182722, 0.18656468, 0.15938024])
c = 3
self.use_skip = use_skip
self.n_conv = len(layers)
skip_layer_size = [3] + layers[:-1]... | Detector | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Detector:
def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True):
"""Your code here. Setup your detection network"""
<|body_0|>
def forward(self, x):
"""Your code here. Implement a forward pass through the network, use forward... | stack_v2_sparse_classes_75kplus_train_074659 | 7,454 | no_license | [
{
"docstring": "Your code here. Setup your detection network",
"name": "__init__",
"signature": "def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True)"
},
{
"docstring": "Your code here. Implement a forward pass through the network, use forward for train... | 3 | stack_v2_sparse_classes_30k_train_002068 | Implement the Python class `Detector` described below.
Class description:
Implement the Detector class.
Method signatures and docstrings:
- def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True): Your code here. Setup your detection network
- def forward(self, x): Your code he... | Implement the Python class `Detector` described below.
Class description:
Implement the Detector class.
Method signatures and docstrings:
- def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True): Your code here. Setup your detection network
- def forward(self, x): Your code he... | 4483422fa668e8fb29858ed09431f3d9404303f8 | <|skeleton|>
class Detector:
def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True):
"""Your code here. Setup your detection network"""
<|body_0|>
def forward(self, x):
"""Your code here. Implement a forward pass through the network, use forward... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Detector:
def __init__(self, layers=[16, 32, 64, 128], n_output_channels=3, kernel_size=3, use_skip=True):
"""Your code here. Setup your detection network"""
super().__init__()
self.input_mean = torch.Tensor([0.3521554, 0.30068502, 0.28527516])
self.input_std = torch.Tensor([0.... | the_stack_v2_python_sparse | homework_4/models.py | lyxmegan/Deep_Learning_Projects | train | 1 | |
437135c9f7cbbd59d03d39f8684de6ff0f36bafa | [
"if Solution.ALGO == 0:\n return self.longestValidParenthesesStack(s)\nreturn self.longestValidParenthesesDp(s)",
"n = len(s)\nif n == 0:\n return 0\nstack = []\nlongest = 0\ni = 0\nfor j in xrange(n):\n if s[j] == '(':\n stack.append(j)\n elif len(stack) == 0:\n i = j + 1\n else:\n ... | <|body_start_0|>
if Solution.ALGO == 0:
return self.longestValidParenthesesStack(s)
return self.longestValidParenthesesDp(s)
<|end_body_0|>
<|body_start_1|>
n = len(s)
if n == 0:
return 0
stack = []
longest = 0
i = 0
for j in xrang... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
"""Returns the length of the longest valid parenthesis string in s."""
<|body_0|>
def longestValidParenthesesStack(self, s):
"""Returns the length of the longest valid parenthesis string in s. This a O(n) time and space... | stack_v2_sparse_classes_75kplus_train_074660 | 3,015 | permissive | [
{
"docstring": "Returns the length of the longest valid parenthesis string in s.",
"name": "longestValidParentheses",
"signature": "def longestValidParentheses(self, s)"
},
{
"docstring": "Returns the length of the longest valid parenthesis string in s. This a O(n) time and space algorithm that ... | 3 | stack_v2_sparse_classes_30k_train_042437 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): Returns the length of the longest valid parenthesis string in s.
- def longestValidParenthesesStack(self, s): Returns the length of the long... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def longestValidParentheses(self, s): Returns the length of the longest valid parenthesis string in s.
- def longestValidParenthesesStack(self, s): Returns the length of the long... | 0e46cbaa3f2826b6ff9d4ebd150b5e2330e66859 | <|skeleton|>
class Solution:
def longestValidParentheses(self, s):
"""Returns the length of the longest valid parenthesis string in s."""
<|body_0|>
def longestValidParenthesesStack(self, s):
"""Returns the length of the longest valid parenthesis string in s. This a O(n) time and space... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def longestValidParentheses(self, s):
"""Returns the length of the longest valid parenthesis string in s."""
if Solution.ALGO == 0:
return self.longestValidParenthesesStack(s)
return self.longestValidParenthesesDp(s)
def longestValidParenthesesStack(self, s):... | the_stack_v2_python_sparse | leetcode/algorithms/longest-valid-parenthesis/solution.py | i7sharath/algorithms-1 | train | 0 | |
800e556eac6165aa814f0ed3e300451e5aeae838 | [
"nastran_filename1 = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending.bdf')\nskin_filename = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending_skin.bdf')\nlog = get_logger(level='warning')\nwrite_skin_solid_faces(nastran_filename1, skin_filename, write_solids=True, write_shells=True, size=8, is_d... | <|body_start_0|>
nastran_filename1 = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending.bdf')
skin_filename = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending_skin.bdf')
log = get_logger(level='warning')
write_skin_solid_faces(nastran_filename1, skin_filename, write_sol... | defines UGRID tests | TestUgridGui | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestUgridGui:
"""defines UGRID tests"""
def test_ugrid_gui_01(self):
"""tests solid_bending.bdf"""
<|body_0|>
def test_ugrid_gui_02(self):
"""tests plate_with_circular_hole"""
<|body_1|>
def test_ugrid2d_gui(self):
"""simple UGRID2D model"""
... | stack_v2_sparse_classes_75kplus_train_074661 | 4,389 | no_license | [
{
"docstring": "tests solid_bending.bdf",
"name": "test_ugrid_gui_01",
"signature": "def test_ugrid_gui_01(self)"
},
{
"docstring": "tests plate_with_circular_hole",
"name": "test_ugrid_gui_02",
"signature": "def test_ugrid_gui_02(self)"
},
{
"docstring": "simple UGRID2D model",
... | 4 | stack_v2_sparse_classes_30k_train_031186 | Implement the Python class `TestUgridGui` described below.
Class description:
defines UGRID tests
Method signatures and docstrings:
- def test_ugrid_gui_01(self): tests solid_bending.bdf
- def test_ugrid_gui_02(self): tests plate_with_circular_hole
- def test_ugrid2d_gui(self): simple UGRID2D model
- def test_ugrid3d... | Implement the Python class `TestUgridGui` described below.
Class description:
defines UGRID tests
Method signatures and docstrings:
- def test_ugrid_gui_01(self): tests solid_bending.bdf
- def test_ugrid_gui_02(self): tests plate_with_circular_hole
- def test_ugrid2d_gui(self): simple UGRID2D model
- def test_ugrid3d... | d9ffdb4ac845b13bcf6aea96ff5d37cc026c5267 | <|skeleton|>
class TestUgridGui:
"""defines UGRID tests"""
def test_ugrid_gui_01(self):
"""tests solid_bending.bdf"""
<|body_0|>
def test_ugrid_gui_02(self):
"""tests plate_with_circular_hole"""
<|body_1|>
def test_ugrid2d_gui(self):
"""simple UGRID2D model"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestUgridGui:
"""defines UGRID tests"""
def test_ugrid_gui_01(self):
"""tests solid_bending.bdf"""
nastran_filename1 = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending.bdf')
skin_filename = os.path.join(NASTRAN_PATH, 'solid_bending', 'solid_bending_skin.bdf')
log... | the_stack_v2_python_sparse | pyNastran/converters/aflr/ugrid/test_ugrid_gui.py | ratalex/pyNastran | train | 0 |
6f577324a94c6e2a4e08df062d3dd9d01aa40184 | [
"json_parser = RequestParser()\njson_parser.add_argument('name', required=True, location='json')\njson_parser.add_argument('is_visible', type=inputs.int_range(0, 1), required=True, location='json')\njson_parser.add_argument('sequence', type=inputs.positive, location='json')\nargs = json_parser.parse_args()\nchannel... | <|body_start_0|>
json_parser = RequestParser()
json_parser.add_argument('name', required=True, location='json')
json_parser.add_argument('is_visible', type=inputs.int_range(0, 1), required=True, location='json')
json_parser.add_argument('sequence', type=inputs.positive, location='json')
... | 频道 | ChannelResource | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ChannelResource:
"""频道"""
def put(self, target):
"""修改频道"""
<|body_0|>
def delete(self, target):
"""删除频道"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
json_parser = RequestParser()
json_parser.add_argument('name', required=True, locati... | stack_v2_sparse_classes_75kplus_train_074662 | 5,465 | no_license | [
{
"docstring": "修改频道",
"name": "put",
"signature": "def put(self, target)"
},
{
"docstring": "删除频道",
"name": "delete",
"signature": "def delete(self, target)"
}
] | 2 | stack_v2_sparse_classes_30k_train_046955 | Implement the Python class `ChannelResource` described below.
Class description:
频道
Method signatures and docstrings:
- def put(self, target): 修改频道
- def delete(self, target): 删除频道 | Implement the Python class `ChannelResource` described below.
Class description:
频道
Method signatures and docstrings:
- def put(self, target): 修改频道
- def delete(self, target): 删除频道
<|skeleton|>
class ChannelResource:
"""频道"""
def put(self, target):
"""修改频道"""
<|body_0|>
def delete(self,... | c9703a9c57a98babf8d1e41b227aada9ef4bfe15 | <|skeleton|>
class ChannelResource:
"""频道"""
def put(self, target):
"""修改频道"""
<|body_0|>
def delete(self, target):
"""删除频道"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ChannelResource:
"""频道"""
def put(self, target):
"""修改频道"""
json_parser = RequestParser()
json_parser.add_argument('name', required=True, location='json')
json_parser.add_argument('is_visible', type=inputs.int_range(0, 1), required=True, location='json')
json_parse... | the_stack_v2_python_sparse | mis/resources/information/channel.py | Yaooooooooooooo/toutiao-backend | train | 0 |
1d707fd88968151a86066f92d8b5699b574442aa | [
"name = validated_data.get('name')\ncodename = validated_data.get('codename')\ncontent_type_data = validated_data.get('content_type')\ncontent_type = ContentType.objects.get(app_label=content_type_data['app_label'], model=content_type_data['model'])\nreturn Permission.objects.create(name=name, content_type=content_... | <|body_start_0|>
name = validated_data.get('name')
codename = validated_data.get('codename')
content_type_data = validated_data.get('content_type')
content_type = ContentType.objects.get(app_label=content_type_data['app_label'], model=content_type_data['model'])
return Permission... | A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update | PermissionSerializer | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PermissionSerializer:
"""A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update"""
def create(self, validated_data):
"""Create and save a permission into the database."""
<|body_0|>
def update... | stack_v2_sparse_classes_75kplus_train_074663 | 8,394 | permissive | [
{
"docstring": "Create and save a permission into the database.",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"docstring": "Update a permission into the database.",
"name": "update",
"signature": "def update(self, instance, validated_data)"
}
] | 2 | stack_v2_sparse_classes_30k_train_001947 | Implement the Python class `PermissionSerializer` described below.
Class description:
A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update
Method signatures and docstrings:
- def create(self, validated_data): Create and save a permission... | Implement the Python class `PermissionSerializer` described below.
Class description:
A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update
Method signatures and docstrings:
- def create(self, validated_data): Create and save a permission... | 56511ebac83a5dc1fb8768a98bc675e88530a447 | <|skeleton|>
class PermissionSerializer:
"""A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update"""
def create(self, validated_data):
"""Create and save a permission into the database."""
<|body_0|>
def update... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class PermissionSerializer:
"""A serializer to handle our permission system. Heritates from serializers.HyperlinkedModelSerializer and overrides : - create - update"""
def create(self, validated_data):
"""Create and save a permission into the database."""
name = validated_data.get('name')
... | the_stack_v2_python_sparse | usersmanagement/serializers.py | Open-CMMS/openCMMS_backend | train | 4 |
6b5a715832ae65b524ac08fb04e52e62d9ab9e24 | [
"super().__init__()\nself.h_dim = h_dim\nself.lQ = nn.Linear(e_dim, h_dim)\nself.lK = nn.Linear(e_dim, h_dim)\nself.lV = nn.Linear(e_dim, h_dim)",
"if querys is not None:\n Q = self.lQ(querys)\nelse:\n Q = self.lQ(seq_inputs)\nK = self.lK(seq_inputs)\nV = self.lV(seq_inputs)\nQK = torch.matmul(Q, K.permute(... | <|body_start_0|>
super().__init__()
self.h_dim = h_dim
self.lQ = nn.Linear(e_dim, h_dim)
self.lK = nn.Linear(e_dim, h_dim)
self.lV = nn.Linear(e_dim, h_dim)
<|end_body_0|>
<|body_start_1|>
if querys is not None:
Q = self.lQ(querys)
else:
Q... | OneHeadAttention | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class OneHeadAttention:
def __init__(self, e_dim, h_dim):
""":param e_dim: 输入向量维度 :param h_dim: 输出向量维度"""
<|body_0|>
def forward(self, seq_inputs, querys=None, mask=None):
""":param seq_inputs: #[ batch, seq_lens, e_dim ] :param querys: #[ batch, seq_lens, e_dim ] :param m... | stack_v2_sparse_classes_75kplus_train_074664 | 10,000 | no_license | [
{
"docstring": ":param e_dim: 输入向量维度 :param h_dim: 输出向量维度",
"name": "__init__",
"signature": "def __init__(self, e_dim, h_dim)"
},
{
"docstring": ":param seq_inputs: #[ batch, seq_lens, e_dim ] :param querys: #[ batch, seq_lens, e_dim ] :param mask: #[ 1, seq_lens, seq_lens ] :return:",
"nam... | 2 | stack_v2_sparse_classes_30k_train_017275 | Implement the Python class `OneHeadAttention` described below.
Class description:
Implement the OneHeadAttention class.
Method signatures and docstrings:
- def __init__(self, e_dim, h_dim): :param e_dim: 输入向量维度 :param h_dim: 输出向量维度
- def forward(self, seq_inputs, querys=None, mask=None): :param seq_inputs: #[ batch, ... | Implement the Python class `OneHeadAttention` described below.
Class description:
Implement the OneHeadAttention class.
Method signatures and docstrings:
- def __init__(self, e_dim, h_dim): :param e_dim: 输入向量维度 :param h_dim: 输出向量维度
- def forward(self, seq_inputs, querys=None, mask=None): :param seq_inputs: #[ batch, ... | c7bef7c5ca6e755d0714a688e0c36f35146c8a10 | <|skeleton|>
class OneHeadAttention:
def __init__(self, e_dim, h_dim):
""":param e_dim: 输入向量维度 :param h_dim: 输出向量维度"""
<|body_0|>
def forward(self, seq_inputs, querys=None, mask=None):
""":param seq_inputs: #[ batch, seq_lens, e_dim ] :param querys: #[ batch, seq_lens, e_dim ] :param m... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class OneHeadAttention:
def __init__(self, e_dim, h_dim):
""":param e_dim: 输入向量维度 :param h_dim: 输出向量维度"""
super().__init__()
self.h_dim = h_dim
self.lQ = nn.Linear(e_dim, h_dim)
self.lK = nn.Linear(e_dim, h_dim)
self.lV = nn.Linear(e_dim, h_dim)
def forward(self,... | the_stack_v2_python_sparse | chapter3/s49_transformer.py | chenrj23/recbyhand | train | 0 | |
c2120e99d8e48acc06345d196a2f6c2dc039a59c | [
"super().__init__()\nself._layers = nn.ModuleList()\nfor in_w, out_w in zip([M] + hidden_size[:-1], hidden_size):\n layer = nn.Sequential(nn.Linear(in_w, out_w), g)\n self._layers.append(layer)\nlayer = nn.Sequential(nn.Linear(hidden_size[-1], 1), nn.Sigmoid())\nself._layers.append(layer)",
"d_theta = X\nfo... | <|body_start_0|>
super().__init__()
self._layers = nn.ModuleList()
for in_w, out_w in zip([M] + hidden_size[:-1], hidden_size):
layer = nn.Sequential(nn.Linear(in_w, out_w), g)
self._layers.append(layer)
layer = nn.Sequential(nn.Linear(hidden_size[-1], 1), nn.Sigm... | MalGAN discriminator (substitute detector). Simple feed forward network. | Discriminator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Discriminator:
"""MalGAN discriminator (substitute detector). Simple feed forward network."""
def __init__(self, M: int, hidden_size: List[int], g: nn.Module):
"""Discriminator Constructor Builds the discriminator block. :param M: Width of the malware feature vector :param hidden_siz... | stack_v2_sparse_classes_75kplus_train_074665 | 1,425 | permissive | [
{
"docstring": "Discriminator Constructor Builds the discriminator block. :param M: Width of the malware feature vector :param hidden_size: Width of the hidden layer(s). :param g: Activation function",
"name": "__init__",
"signature": "def __init__(self, M: int, hidden_size: List[int], g: nn.Module)"
... | 2 | stack_v2_sparse_classes_30k_train_003379 | Implement the Python class `Discriminator` described below.
Class description:
MalGAN discriminator (substitute detector). Simple feed forward network.
Method signatures and docstrings:
- def __init__(self, M: int, hidden_size: List[int], g: nn.Module): Discriminator Constructor Builds the discriminator block. :param... | Implement the Python class `Discriminator` described below.
Class description:
MalGAN discriminator (substitute detector). Simple feed forward network.
Method signatures and docstrings:
- def __init__(self, M: int, hidden_size: List[int], g: nn.Module): Discriminator Constructor Builds the discriminator block. :param... | c36647d1b3ba86a9a4e6e1a0bda2a371d8875781 | <|skeleton|>
class Discriminator:
"""MalGAN discriminator (substitute detector). Simple feed forward network."""
def __init__(self, M: int, hidden_size: List[int], g: nn.Module):
"""Discriminator Constructor Builds the discriminator block. :param M: Width of the malware feature vector :param hidden_siz... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Discriminator:
"""MalGAN discriminator (substitute detector). Simple feed forward network."""
def __init__(self, M: int, hidden_size: List[int], g: nn.Module):
"""Discriminator Constructor Builds the discriminator block. :param M: Width of the malware feature vector :param hidden_size: Width of t... | the_stack_v2_python_sparse | malgan/discriminator.py | CyberForce/Pesidious | train | 119 |
c8c853392ee573013a8b6c0d0da6c010fde2b69b | [
"if 'git_uri' not in self.user_params:\n raise ValueError(f'{self.__class__.__name__} instance has no source (no git_uri in user params)')\nreturn source.GitSource(provider='git', uri=self.user_params['git_uri'], provider_params={'git_commit': self.user_params.get('git_ref'), 'git_commit_depth': self.user_params... | <|body_start_0|>
if 'git_uri' not in self.user_params:
raise ValueError(f'{self.__class__.__name__} instance has no source (no git_uri in user params)')
return source.GitSource(provider='git', uri=self.user_params['git_uri'], provider_params={'git_commit': self.user_params.get('git_ref'), 'g... | Task parameters (coming from CLI arguments). | TaskParams | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TaskParams:
"""Task parameters (coming from CLI arguments)."""
def source(self) -> source.Source:
"""Source for the input files the task will operate on (e.g. a git repo)."""
<|body_0|>
def from_cli_args(cls, args: dict):
"""Create a TaskParams instance from CLI ... | stack_v2_sparse_classes_75kplus_train_074666 | 4,580 | permissive | [
{
"docstring": "Source for the input files the task will operate on (e.g. a git repo).",
"name": "source",
"signature": "def source(self) -> source.Source"
},
{
"docstring": "Create a TaskParams instance from CLI arguments.",
"name": "from_cli_args",
"signature": "def from_cli_args(cls, ... | 2 | stack_v2_sparse_classes_30k_train_014408 | Implement the Python class `TaskParams` described below.
Class description:
Task parameters (coming from CLI arguments).
Method signatures and docstrings:
- def source(self) -> source.Source: Source for the input files the task will operate on (e.g. a git repo).
- def from_cli_args(cls, args: dict): Create a TaskPara... | Implement the Python class `TaskParams` described below.
Class description:
Task parameters (coming from CLI arguments).
Method signatures and docstrings:
- def source(self) -> source.Source: Source for the input files the task will operate on (e.g. a git repo).
- def from_cli_args(cls, args: dict): Create a TaskPara... | 0ed6e07d848db7090332a18ef8ace3585dd314ac | <|skeleton|>
class TaskParams:
"""Task parameters (coming from CLI arguments)."""
def source(self) -> source.Source:
"""Source for the input files the task will operate on (e.g. a git repo)."""
<|body_0|>
def from_cli_args(cls, args: dict):
"""Create a TaskParams instance from CLI ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TaskParams:
"""Task parameters (coming from CLI arguments)."""
def source(self) -> source.Source:
"""Source for the input files the task will operate on (e.g. a git repo)."""
if 'git_uri' not in self.user_params:
raise ValueError(f'{self.__class__.__name__} instance has no sou... | the_stack_v2_python_sparse | atomic_reactor/tasks/common.py | fr34k8/atomic-reactor | train | 1 |
ef695b9614f0863793acb548a2cfa85e79a6c865 | [
"Algorithm.__init__(self)\nself.name = 'Edge attribute filter'\nself.parent = 'Graph filtering'\nself.attribute = DropDown('Attribute', {'width', 'length'})\nself.drop_downs.append(self.attribute)\nself.attribute_threshold_value = FloatSlider('Attribute treshold', 0.0, 20.0, 0.1, 10.0)\nself.float_sliders.append(se... | <|body_start_0|>
Algorithm.__init__(self)
self.name = 'Edge attribute filter'
self.parent = 'Graph filtering'
self.attribute = DropDown('Attribute', {'width', 'length'})
self.drop_downs.append(self.attribute)
self.attribute_threshold_value = FloatSlider('Attribute treshol... | Edge attribute filter algorithm implementation | AlgBody | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlgBody:
"""Edge attribute filter algorithm implementation"""
def __init__(self):
"""Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute* : A valid edge attribute present in the graph. | *attrib... | stack_v2_sparse_classes_75kplus_train_074667 | 3,328 | permissive | [
{
"docstring": "Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute* : A valid edge attribute present in the graph. | *attribute_threshold_value* : A threshold value for the given attribute | *operator* : A logical python ... | 2 | stack_v2_sparse_classes_30k_train_022871 | Implement the Python class `AlgBody` described below.
Class description:
Edge attribute filter algorithm implementation
Method signatures and docstrings:
- def __init__(self): Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute*... | Implement the Python class `AlgBody` described below.
Class description:
Edge attribute filter algorithm implementation
Method signatures and docstrings:
- def __init__(self): Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute*... | 0dc9becc09da22af3edac90b81b1dd9b1f44fd5b | <|skeleton|>
class AlgBody:
"""Edge attribute filter algorithm implementation"""
def __init__(self):
"""Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute* : A valid edge attribute present in the graph. | *attrib... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlgBody:
"""Edge attribute filter algorithm implementation"""
def __init__(self):
"""Edge attribute object constructor Instance vars: | *name* : name of the algorithm | *parent* : name of the appropriated category | *attribute* : A valid edge attribute present in the graph. | *attribute_threshold... | the_stack_v2_python_sparse | nefi2/model/algorithms/edge_attribute_filter.py | andreasfirczynski/NetworkExtractionFromImages | train | 0 |
2419187dafbed75331e4d65d60f87d3c8d36386c | [
"QWidget.__init__(self, flags=Qt.Widget)\nself.te_1 = QTextEdit()\nself.te_2 = QTextEdit()\nself.te_3 = QTextEdit()\nself.split_1 = QSplitter()\nself.split_2 = QSplitter()\nself.vbox = QVBoxLayout()\nself.container_vbox = QVBoxLayout()\nself.init_widget()",
"self.setWindowTitle('Hello World')\nself.split_1.addWid... | <|body_start_0|>
QWidget.__init__(self, flags=Qt.Widget)
self.te_1 = QTextEdit()
self.te_2 = QTextEdit()
self.te_3 = QTextEdit()
self.split_1 = QSplitter()
self.split_2 = QSplitter()
self.vbox = QVBoxLayout()
self.container_vbox = QVBoxLayout()
sel... | 만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성. | Form | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Form:
"""만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성."""
def __init__(self):
"""보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다."""
<|body_0|>
def init_widget(self):
"""현재 위젯의 모양등을 초기화"""
... | stack_v2_sparse_classes_75kplus_train_074668 | 1,815 | no_license | [
{
"docstring": "보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "현재 위젯의 모양등을 초기화",
"name": "init_widget",
"signature": "def init_widget(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_032853 | Implement the Python class `Form` described below.
Class description:
만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성.
Method signatures and docstrings:
- def __init__(self): 보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다.
- def init_widget(self): 현재 위젯의... | Implement the Python class `Form` described below.
Class description:
만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성.
Method signatures and docstrings:
- def __init__(self): 보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다.
- def init_widget(self): 현재 위젯의... | 559ad5618eb99368b4da140cb78609bce2d5da71 | <|skeleton|>
class Form:
"""만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성."""
def __init__(self):
"""보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다."""
<|body_0|>
def init_widget(self):
"""현재 위젯의 모양등을 초기화"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Form:
"""만들고자 하는 프로그램의 기본이 되는 창 또는 폼 위젯. 본 위젯 위에 다른 위젯을 올려서 모양을 만든다. QWidget을 상속받아서 필요한 메소드를 작성."""
def __init__(self):
"""보통 __init__ (생성자)에서 필요한 것들을 다를 위젯들을 선언해줘도 되지만 init_widget을 따로 만들어서 호출한다."""
QWidget.__init__(self, flags=Qt.Widget)
self.te_1 = QTextEdit()
self.te_2 ... | the_stack_v2_python_sparse | Python/pyqt5/OpenTutorials_PyQt/QtFramework/QtWidgets/QSplitter/QSplitter_00_basic.py | ghdic/marinelifeirony | train | 6 |
3da519b8b6f3d0773c0fb4307b146b6316b2b83a | [
"self.config = None\nself.desc = None\nself.sites = None",
"errors = {}\nif user_input is not None:\n try:\n self.config = {CONF_HOST: user_input[CONF_HOST], CONF_USERNAME: user_input[CONF_USERNAME], CONF_PASSWORD: user_input[CONF_PASSWORD], CONF_PORT: user_input.get(CONF_PORT), CONF_VERIFY_SSL: user_in... | <|body_start_0|>
self.config = None
self.desc = None
self.sites = None
<|end_body_0|>
<|body_start_1|>
errors = {}
if user_input is not None:
try:
self.config = {CONF_HOST: user_input[CONF_HOST], CONF_USERNAME: user_input[CONF_USERNAME], CONF_PASSWORD... | Handle a UniFi config flow. | UnifiFlowHandler | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UnifiFlowHandler:
"""Handle a UniFi config flow."""
def __init__(self):
"""Initialize the UniFi flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initialized by the user."""
<|body_1|>
async def async_step_site(se... | stack_v2_sparse_classes_75kplus_train_074669 | 4,827 | permissive | [
{
"docstring": "Initialize the UniFi flow.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Handle a flow initialized by the user.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input=None)"
},
{
"docstring": "Select site... | 4 | null | Implement the Python class `UnifiFlowHandler` described below.
Class description:
Handle a UniFi config flow.
Method signatures and docstrings:
- def __init__(self): Initialize the UniFi flow.
- async def async_step_user(self, user_input=None): Handle a flow initialized by the user.
- async def async_step_site(self, ... | Implement the Python class `UnifiFlowHandler` described below.
Class description:
Handle a UniFi config flow.
Method signatures and docstrings:
- def __init__(self): Initialize the UniFi flow.
- async def async_step_user(self, user_input=None): Handle a flow initialized by the user.
- async def async_step_site(self, ... | ade847f243ab120d14b9e99c7f8e114c3bd27280 | <|skeleton|>
class UnifiFlowHandler:
"""Handle a UniFi config flow."""
def __init__(self):
"""Initialize the UniFi flow."""
<|body_0|>
async def async_step_user(self, user_input=None):
"""Handle a flow initialized by the user."""
<|body_1|>
async def async_step_site(se... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class UnifiFlowHandler:
"""Handle a UniFi config flow."""
def __init__(self):
"""Initialize the UniFi flow."""
self.config = None
self.desc = None
self.sites = None
async def async_step_user(self, user_input=None):
"""Handle a flow initialized by the user."""
... | the_stack_v2_python_sparse | homeassistant/components/unifi/config_flow.py | koenvanderlinden/home-assistant | train | 2 |
1f264addd8dce1ffefa0c251d36e0791e1ef2ba9 | [
"self.acl = acl\nself.bucket_policy = bucket_policy\nself.efficient_mpu_enabled = efficient_mpu_enabled\nself.enable_obj_store_access = enable_obj_store_access\nself.init_cluster_id = init_cluster_id\nself.init_cluster_incarnation_id = init_cluster_incarnation_id\nself.lifecycle_config = lifecycle_config\nself.obje... | <|body_start_0|>
self.acl = acl
self.bucket_policy = bucket_policy
self.efficient_mpu_enabled = efficient_mpu_enabled
self.enable_obj_store_access = enable_obj_store_access
self.init_cluster_id = init_cluster_id
self.init_cluster_incarnation_id = init_cluster_incarnation_... | Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool representing whether this mpu structure is based on S3 MPU 2.0 enable_obj_store_access (bool): ... | S3BucketConfigProto | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class S3BucketConfigProto:
"""Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool representing whether this mpu structure is based... | stack_v2_sparse_classes_75kplus_train_074670 | 9,657 | permissive | [
{
"docstring": "Constructor for the S3BucketConfigProto class",
"name": "__init__",
"signature": "def __init__(self, acl=None, bucket_policy=None, efficient_mpu_enabled=None, enable_obj_store_access=None, init_cluster_id=None, init_cluster_incarnation_id=None, lifecycle_config=None, object_tags_added=No... | 2 | stack_v2_sparse_classes_30k_train_017038 | Implement the Python class `S3BucketConfigProto` described below.
Class description:
Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool represent... | Implement the Python class `S3BucketConfigProto` described below.
Class description:
Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool represent... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class S3BucketConfigProto:
"""Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool representing whether this mpu structure is based... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class S3BucketConfigProto:
"""Implementation of the 'S3BucketConfigProto' model. TODO: type description here. Attributes: acl (ACLProto): ACL of the bucket. bucket_policy (BucketPolicy): Policy in effect for the bucket. efficient_mpu_enabled (bool): bool representing whether this mpu structure is based on S3 MPU 2.... | the_stack_v2_python_sparse | cohesity_management_sdk/models/s3_bucket_config_proto.py | cohesity/management-sdk-python | train | 24 |
c40e16655b08bf2e20ebb11a73c69fe676d3d908 | [
"intensities = cls(intensities)\nintensities[Features.TARGET] = targets\nif distances:\n intensities[Features.DISTANCE] = distances\nif passes_threshold:\n intensities[Features.PASSES_THRESHOLDS] = passes_threshold\nif rounds_used:\n intensities['rounds_used'] = rounds_used\nreturn intensities",
"df = se... | <|body_start_0|>
intensities = cls(intensities)
intensities[Features.TARGET] = targets
if distances:
intensities[Features.DISTANCE] = distances
if passes_threshold:
intensities[Features.PASSES_THRESHOLDS] = passes_threshold
if rounds_used:
inte... | DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of a set of features in each :code:`(round, channel)` tile in which the feature is identifi... | DecodedIntensityTable | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DecodedIntensityTable:
"""DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of a set of features in each :code:`(round... | stack_v2_sparse_classes_75kplus_train_074671 | 7,761 | permissive | [
{
"docstring": "Assign target values to intensities. Parameters ---------- intensities : IntensityTable intensity_table to assign target values to targets : Tuple[str, np.ndarray] Target values to assign distances : Optional[Tuple[str, np.ndarray]] Corresponding array of distances from target for each feature p... | 4 | stack_v2_sparse_classes_30k_train_018964 | Implement the Python class `DecodedIntensityTable` described below.
Class description:
DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of ... | Implement the Python class `DecodedIntensityTable` described below.
Class description:
DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of ... | 853f56c7c02b15397adb921db5e3bde02fdadb63 | <|skeleton|>
class DecodedIntensityTable:
"""DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of a set of features in each :code:`(round... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class DecodedIntensityTable:
"""DecodedIntensityTable is a container for spot or pixel features extracted from image data that have been decoded. It is the primary output from starfish :py:class:`Decode` methods. An IntensityTable records the numeric intensity of a set of features in each :code:`(round, channel)` t... | the_stack_v2_python_sparse | starfish/core/intensity_table/decoded_intensity_table.py | spacetx/starfish | train | 211 |
dd28f16740bfda2e2604876bc1ecb820a9fe167b | [
"self.config = None\nself._com_ports_list = None\nself._default_com_port = None",
"errors = {}\nif self._com_ports_list is None:\n result = await self.hass.async_add_executor_job(scan_comports)\n self._com_ports_list, self._default_com_port = result\n if self._default_com_port is None:\n return se... | <|body_start_0|>
self.config = None
self._com_ports_list = None
self._default_com_port = None
<|end_body_0|>
<|body_start_1|>
errors = {}
if self._com_ports_list is None:
result = await self.hass.async_add_executor_job(scan_comports)
self._com_ports_list,... | Handle a config flow for Aurora ABB PowerOne. | AuroraABBConfigFlow | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AuroraABBConfigFlow:
"""Handle a config flow for Aurora ABB PowerOne."""
def __init__(self):
"""Initialise the config flow."""
<|body_0|>
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle a flow initialised by the us... | stack_v2_sparse_classes_75kplus_train_074672 | 4,922 | permissive | [
{
"docstring": "Initialise the config flow.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Handle a flow initialised by the user.",
"name": "async_step_user",
"signature": "async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult"
... | 2 | stack_v2_sparse_classes_30k_train_036342 | Implement the Python class `AuroraABBConfigFlow` described below.
Class description:
Handle a config flow for Aurora ABB PowerOne.
Method signatures and docstrings:
- def __init__(self): Initialise the config flow.
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle a flow ... | Implement the Python class `AuroraABBConfigFlow` described below.
Class description:
Handle a config flow for Aurora ABB PowerOne.
Method signatures and docstrings:
- def __init__(self): Initialise the config flow.
- async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult: Handle a flow ... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class AuroraABBConfigFlow:
"""Handle a config flow for Aurora ABB PowerOne."""
def __init__(self):
"""Initialise the config flow."""
<|body_0|>
async def async_step_user(self, user_input: dict[str, Any] | None=None) -> FlowResult:
"""Handle a flow initialised by the us... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AuroraABBConfigFlow:
"""Handle a config flow for Aurora ABB PowerOne."""
def __init__(self):
"""Initialise the config flow."""
self.config = None
self._com_ports_list = None
self._default_com_port = None
async def async_step_user(self, user_input: dict[str, Any] | Non... | the_stack_v2_python_sparse | homeassistant/components/aurora_abb_powerone/config_flow.py | home-assistant/core | train | 35,501 |
e9a018622cf412ef3042d590934af774655a5060 | [
"course_id = course_id_from_url(request.META.get('HTTP_REFERER'))\nif course_id:\n try:\n get_course_overview_with_access(request.user, 'load', course_id)\n return redirect(f'/courses/{str(course_id)}/wiki/{wiki_path}')\n except Http404:\n pass",
"if not view_func.__module__.startswith(... | <|body_start_0|>
course_id = course_id_from_url(request.META.get('HTTP_REFERER'))
if course_id:
try:
get_course_overview_with_access(request.user, 'load', course_id)
return redirect(f'/courses/{str(course_id)}/wiki/{wiki_path}')
except Http404:
... | This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced with a wrapper function around the wiki views. This is currently difficult or impossibl... | WikiAccessMiddleware | [
"AGPL-3.0-only",
"AGPL-3.0-or-later",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class WikiAccessMiddleware:
"""This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced with a wrapper function around the wiki... | stack_v2_sparse_classes_75kplus_train_074673 | 5,446 | permissive | [
{
"docstring": "redirect to course wiki url if the referrer is from a course page",
"name": "_redirect_from_referrer",
"signature": "def _redirect_from_referrer(self, request, wiki_path)"
},
{
"docstring": "This function handles authentication logic for wiki urls and redirects from the \"root wi... | 3 | stack_v2_sparse_classes_30k_train_000371 | Implement the Python class `WikiAccessMiddleware` described below.
Class description:
This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced ... | Implement the Python class `WikiAccessMiddleware` described below.
Class description:
This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced ... | 5809eaca7079a15ee56b0b7fcfea425337046c97 | <|skeleton|>
class WikiAccessMiddleware:
"""This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced with a wrapper function around the wiki... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class WikiAccessMiddleware:
"""This middleware wraps calls to django-wiki in order to handle authentication and redirection between the root wiki and the course wikis. TODO: removing the "root wiki" would obviate the need for this middleware; it could be replaced with a wrapper function around the wiki views. This ... | the_stack_v2_python_sparse | Part-03-Understanding-Software-Crafting-Your-Own-Tools/models/edx-platform/lms/djangoapps/course_wiki/middleware.py | luque/better-ways-of-thinking-about-software | train | 3 |
399094d90aed7a1109c9de4ae18e367dd0711324 | [
"self.forms = []\ninstances = instances or []\nfor i, obj in enumerate(instances):\n if isinstance(obj, db.Key):\n obj = db.get(obj)\n form_kwargs = {'instance': obj, 'prefix': '%i' % i}\n if data:\n form_kwargs.update(dict(data=data))\n base_form = self.base_form(**form_kwargs)\n self.... | <|body_start_0|>
self.forms = []
instances = instances or []
for i, obj in enumerate(instances):
if isinstance(obj, db.Key):
obj = db.get(obj)
form_kwargs = {'instance': obj, 'prefix': '%i' % i}
if data:
form_kwargs.update(dict(... | BaseFormSet | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BaseFormSet:
def __init__(self, data=None, instances=None, extra_forms=2):
"""Testing Concerns: - deleting an item - adding an item - altering the key - altering the value"""
<|body_0|>
def is_valid(self):
"""App engine doesn't support the empty_permitted flag to mod... | stack_v2_sparse_classes_75kplus_train_074674 | 1,921 | permissive | [
{
"docstring": "Testing Concerns: - deleting an item - adding an item - altering the key - altering the value",
"name": "__init__",
"signature": "def __init__(self, data=None, instances=None, extra_forms=2)"
},
{
"docstring": "App engine doesn't support the empty_permitted flag to model forms, s... | 2 | stack_v2_sparse_classes_30k_train_019340 | Implement the Python class `BaseFormSet` described below.
Class description:
Implement the BaseFormSet class.
Method signatures and docstrings:
- def __init__(self, data=None, instances=None, extra_forms=2): Testing Concerns: - deleting an item - adding an item - altering the key - altering the value
- def is_valid(s... | Implement the Python class `BaseFormSet` described below.
Class description:
Implement the BaseFormSet class.
Method signatures and docstrings:
- def __init__(self, data=None, instances=None, extra_forms=2): Testing Concerns: - deleting an item - adding an item - altering the key - altering the value
- def is_valid(s... | afdc352436f9ce623cfb108caf36cd8bc2590f06 | <|skeleton|>
class BaseFormSet:
def __init__(self, data=None, instances=None, extra_forms=2):
"""Testing Concerns: - deleting an item - adding an item - altering the key - altering the value"""
<|body_0|>
def is_valid(self):
"""App engine doesn't support the empty_permitted flag to mod... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class BaseFormSet:
def __init__(self, data=None, instances=None, extra_forms=2):
"""Testing Concerns: - deleting an item - adding an item - altering the key - altering the value"""
self.forms = []
instances = instances or []
for i, obj in enumerate(instances):
if isinstan... | the_stack_v2_python_sparse | permachart/charter/form_utils.py | justinabrahms/permachart | train | 1 | |
224b6a9b58d06e8efff273ed5952ca27e045022a | [
"for line in self:\n line.overdue_amount = 0\n if line.type == 'out_invoice':\n payments_obj = self.env['account.payment'].search([('partner_id', '=', line.partner_id.id), ('state', '=', 'posted'), ('bulk_payment_id.state', 'in', ['cheque_on_hand', 'deposited']), ('payment_type_name', '=', 'Cheque')])\... | <|body_start_0|>
for line in self:
line.overdue_amount = 0
if line.type == 'out_invoice':
payments_obj = self.env['account.payment'].search([('partner_id', '=', line.partner_id.id), ('state', '=', 'posted'), ('bulk_payment_id.state', 'in', ['cheque_on_hand', 'deposited'])... | AccountInvoiceInherit | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AccountInvoiceInherit:
def _compute_overdue_amount(self):
"""Calculating Real outstanding by excluding all draft cheque payments"""
<|body_0|>
def _compute_stored_overdue_amount(self):
"""Calculating Real outstanding by excluding all draft cheque payments"""
... | stack_v2_sparse_classes_75kplus_train_074675 | 3,962 | no_license | [
{
"docstring": "Calculating Real outstanding by excluding all draft cheque payments",
"name": "_compute_overdue_amount",
"signature": "def _compute_overdue_amount(self)"
},
{
"docstring": "Calculating Real outstanding by excluding all draft cheque payments",
"name": "_compute_stored_overdue_... | 3 | stack_v2_sparse_classes_30k_train_043064 | Implement the Python class `AccountInvoiceInherit` described below.
Class description:
Implement the AccountInvoiceInherit class.
Method signatures and docstrings:
- def _compute_overdue_amount(self): Calculating Real outstanding by excluding all draft cheque payments
- def _compute_stored_overdue_amount(self): Calcu... | Implement the Python class `AccountInvoiceInherit` described below.
Class description:
Implement the AccountInvoiceInherit class.
Method signatures and docstrings:
- def _compute_overdue_amount(self): Calculating Real outstanding by excluding all draft cheque payments
- def _compute_stored_overdue_amount(self): Calcu... | b6b32366d966aa550af1de50fd4dd1f1e9daefd0 | <|skeleton|>
class AccountInvoiceInherit:
def _compute_overdue_amount(self):
"""Calculating Real outstanding by excluding all draft cheque payments"""
<|body_0|>
def _compute_stored_overdue_amount(self):
"""Calculating Real outstanding by excluding all draft cheque payments"""
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AccountInvoiceInherit:
def _compute_overdue_amount(self):
"""Calculating Real outstanding by excluding all draft cheque payments"""
for line in self:
line.overdue_amount = 0
if line.type == 'out_invoice':
payments_obj = self.env['account.payment'].search... | the_stack_v2_python_sparse | invoice_outstanding/models/account_invoice.py | EshangAllion/rts-payroll | train | 2 | |
f4122c5bd98381ffb9e1ad0e584219739daa490c | [
"super(GDriveUploader, self).__init__(folder_name)\nif not re.match('^[A-Za-z0-9._-]+$', self._path):\n raise UploaderException(UploaderException.INVALID_DIR_NAME, 'Invalid dir name {dirname}'.format(dirname=self._path))\nself._gdrive = GoogleDrive(gauth)\nself._folder = None",
"query = \"mimeType = 'applicati... | <|body_start_0|>
super(GDriveUploader, self).__init__(folder_name)
if not re.match('^[A-Za-z0-9._-]+$', self._path):
raise UploaderException(UploaderException.INVALID_DIR_NAME, 'Invalid dir name {dirname}'.format(dirname=self._path))
self._gdrive = GoogleDrive(gauth)
self._fo... | Upload picked photo to Google Drive | GDriveUploader | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GDriveUploader:
"""Upload picked photo to Google Drive"""
def __init__(self, gauth, folder_name='photos-picker'):
"""Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Google Drive folder name"""
<|body_0|>
def initi... | stack_v2_sparse_classes_75kplus_train_074676 | 2,660 | permissive | [
{
"docstring": "Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Google Drive folder name",
"name": "__init__",
"signature": "def __init__(self, gauth, folder_name='photos-picker')"
},
{
"docstring": "Clear remote directory",
"name": "... | 3 | stack_v2_sparse_classes_30k_train_030539 | Implement the Python class `GDriveUploader` described below.
Class description:
Upload picked photo to Google Drive
Method signatures and docstrings:
- def __init__(self, gauth, folder_name='photos-picker'): Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Goog... | Implement the Python class `GDriveUploader` described below.
Class description:
Upload picked photo to Google Drive
Method signatures and docstrings:
- def __init__(self, gauth, folder_name='photos-picker'): Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Goog... | 6790e0411bb46e3206ca778dbd83ddd1d4f90f21 | <|skeleton|>
class GDriveUploader:
"""Upload picked photo to Google Drive"""
def __init__(self, gauth, folder_name='photos-picker'):
"""Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Google Drive folder name"""
<|body_0|>
def initi... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class GDriveUploader:
"""Upload picked photo to Google Drive"""
def __init__(self, gauth, folder_name='photos-picker'):
"""Constructor :param pydrive.auth.GoogleAuth gauth: GoogleAth authentified instance :param str folder_name: Google Drive folder name"""
super(GDriveUploader, self).__init__(f... | the_stack_v2_python_sparse | photospicker/uploader/uploaders/gdrive_uploader.py | l-vo/photos-picker | train | 0 |
121ecbfeb94bfc8efbd3d2bd59e3a61b82c3fa5a | [
"self.zone = [(rr.rname, QTYPE[rr.rtype], rr) for rr in RR.fromZone(zone)]\nself.glob = glob\nself.eq = 'matchGlob' if glob else '__eq__'",
"reply = request.reply()\nqname = request.q.qname\nqtype = QTYPE[request.q.qtype]\nfor name, rtype, rr in self.zone:\n if getattr(qname, self.eq)(name) and (qtype == rtype... | <|body_start_0|>
self.zone = [(rr.rname, QTYPE[rr.rtype], rr) for rr in RR.fromZone(zone)]
self.glob = glob
self.eq = 'matchGlob' if glob else '__eq__'
<|end_body_0|>
<|body_start_1|>
reply = request.reply()
qname = request.q.qname
qtype = QTYPE[request.q.qtype]
... | Simple fixed zone file resolver. | ZoneResolver | [
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ZoneResolver:
"""Simple fixed zone file resolver."""
def __init__(self, zone, glob=False):
"""Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file"""
<|body_0|>
def resolve(self, request, ha... | stack_v2_sparse_classes_75kplus_train_074677 | 4,374 | permissive | [
{
"docstring": "Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file",
"name": "__init__",
"signature": "def __init__(self, zone, glob=False)"
},
{
"docstring": "Respond to DNS request - parameters are request packe... | 2 | stack_v2_sparse_classes_30k_train_028305 | Implement the Python class `ZoneResolver` described below.
Class description:
Simple fixed zone file resolver.
Method signatures and docstrings:
- def __init__(self, zone, glob=False): Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file... | Implement the Python class `ZoneResolver` described below.
Class description:
Simple fixed zone file resolver.
Method signatures and docstrings:
- def __init__(self, zone, glob=False): Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file... | 541f58da464296001109f9cfbb879256957b3819 | <|skeleton|>
class ZoneResolver:
"""Simple fixed zone file resolver."""
def __init__(self, zone, glob=False):
"""Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file"""
<|body_0|>
def resolve(self, request, ha... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ZoneResolver:
"""Simple fixed zone file resolver."""
def __init__(self, zone, glob=False):
"""Initialise resolver from zone file. Stores RRs as a list of (label,type,rr) tuples If 'glob' is True use glob match against zone file"""
self.zone = [(rr.rname, QTYPE[rr.rtype], rr) for rr in RR.... | the_stack_v2_python_sparse | code/default/lib/noarch/dnslib/zoneresolver.py | XX-net/XX-Net | train | 40,250 |
0ba27183e05221117b702e01069a9691ddb96e7f | [
"from jina.logging.predefined import default_logger\n_meta_config = get_default_metas()\n_meta_config.update(data.get('metas', {}))\nif _meta_config:\n data['metas'] = _meta_config\ncls._init_from_yaml = True\nif dataclasses.is_dataclass(cls):\n obj = cls(**data.get('with', {}))\n cls.__bases__[0].__init__... | <|body_start_0|>
from jina.logging.predefined import default_logger
_meta_config = get_default_metas()
_meta_config.update(data.get('metas', {}))
if _meta_config:
data['metas'] = _meta_config
cls._init_from_yaml = True
if dataclasses.is_dataclass(cls):
... | Legacy parser for executor. | ExecutorLegacyParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExecutorLegacyParser:
"""Legacy parser for executor."""
def parse(self, cls: Type['BaseExecutor'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'BaseExecutor':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml... | stack_v2_sparse_classes_75kplus_train_074678 | 4,515 | permissive | [
{
"docstring": ":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded as python dict :param runtime_args: Optional runtime_args to be directly passed without being parsed into a yaml config :return: the Flow YAML parser given the syntax version nu... | 3 | stack_v2_sparse_classes_30k_train_027152 | Implement the Python class `ExecutorLegacyParser` described below.
Class description:
Legacy parser for executor.
Method signatures and docstrings:
- def parse(self, cls: Type['BaseExecutor'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'BaseExecutor': :param cls: target class type to parse into, must... | Implement the Python class `ExecutorLegacyParser` described below.
Class description:
Legacy parser for executor.
Method signatures and docstrings:
- def parse(self, cls: Type['BaseExecutor'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'BaseExecutor': :param cls: target class type to parse into, must... | 23c7b8c78fc4ad67d16d83fc0c9f0eae9e935e71 | <|skeleton|>
class ExecutorLegacyParser:
"""Legacy parser for executor."""
def parse(self, cls: Type['BaseExecutor'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'BaseExecutor':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ExecutorLegacyParser:
"""Legacy parser for executor."""
def parse(self, cls: Type['BaseExecutor'], data: Dict, runtime_args: Optional[Dict[str, Any]]=None) -> 'BaseExecutor':
""":param cls: target class type to parse into, must be a :class:`JAMLCompatible` type :param data: flow yaml file loaded ... | the_stack_v2_python_sparse | jina/jaml/parsers/executor/legacy.py | jina-ai/jina | train | 20,687 |
0e7fd2cc98ffd4fd5a836539f6bb2aa7d1becde6 | [
"self.client = APIClient()\nuser = Custom_User.objects.create(username='user12', first_name='tom', last_name='jerry')\nself.image_data = {'title': 'No Promises', 'artists': 'Cheat Codes', 'owner': user.id}\nself.response = self.client.post(reverse('create_image'), self.image_data, format='json')",
"self.assertEqu... | <|body_start_0|>
self.client = APIClient()
user = Custom_User.objects.create(username='user12', first_name='tom', last_name='jerry')
self.image_data = {'title': 'No Promises', 'artists': 'Cheat Codes', 'owner': user.id}
self.response = self.client.post(reverse('create_image'), self.image... | Test suite for the api views. | ImageAPITestCase | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImageAPITestCase:
"""Test suite for the api views."""
def setUp(self):
"""Define the test client and other test variables."""
<|body_0|>
def test_api_can_create_an_image(self):
"""POST: Test the api has image creation capability."""
<|body_1|>
def te... | stack_v2_sparse_classes_75kplus_train_074679 | 25,406 | no_license | [
{
"docstring": "Define the test client and other test variables.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "POST: Test the api has image creation capability.",
"name": "test_api_can_create_an_image",
"signature": "def test_api_can_create_an_image(self)"
},
{... | 6 | null | Implement the Python class `ImageAPITestCase` described below.
Class description:
Test suite for the api views.
Method signatures and docstrings:
- def setUp(self): Define the test client and other test variables.
- def test_api_can_create_an_image(self): POST: Test the api has image creation capability.
- def test_a... | Implement the Python class `ImageAPITestCase` described below.
Class description:
Test suite for the api views.
Method signatures and docstrings:
- def setUp(self): Define the test client and other test variables.
- def test_api_can_create_an_image(self): POST: Test the api has image creation capability.
- def test_a... | efac560c0ddfb315e8704d15090e8f4286a1029d | <|skeleton|>
class ImageAPITestCase:
"""Test suite for the api views."""
def setUp(self):
"""Define the test client and other test variables."""
<|body_0|>
def test_api_can_create_an_image(self):
"""POST: Test the api has image creation capability."""
<|body_1|>
def te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImageAPITestCase:
"""Test suite for the api views."""
def setUp(self):
"""Define the test client and other test variables."""
self.client = APIClient()
user = Custom_User.objects.create(username='user12', first_name='tom', last_name='jerry')
self.image_data = {'title': 'No... | the_stack_v2_python_sparse | app/test_project/project2/tests.py | EtonMon/cs4501 | train | 0 |
338f462bcbc556c924424651bc2442bd106d676a | [
"if isinstance(first_arg, str) and isinstance(second_arg, str):\n if not os.path.isfile(first_arg):\n raise FileNotFoundError('HDF5 file expected: %r' % first_arg)\n with h5py.File(first_arg, 'r') as hdf:\n mass_axis = hdf['mass_axis'][...]\n if second_arg not in hdf['snr_values']:\n ... | <|body_start_0|>
if isinstance(first_arg, str) and isinstance(second_arg, str):
if not os.path.isfile(first_arg):
raise FileNotFoundError('HDF5 file expected: %r' % first_arg)
with h5py.File(first_arg, 'r') as hdf:
mass_axis = hdf['mass_axis'][...]
... | Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode. The operation mode determines the interpolation method used and may be either... | Interpolator | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Interpolator:
"""Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode. The operation mode determines the int... | stack_v2_sparse_classes_75kplus_train_074680 | 12,331 | permissive | [
{
"docstring": "Initialize the interpolator by definig the used reference values and interpolation mode. The interpolator may be initialized by providing the mass axis and SNR grid, or via a path to a stored precomputed grid and a string specifying the noise spectrum to use. Parameters ---------- first_arg : ma... | 3 | stack_v2_sparse_classes_30k_train_008992 | Implement the Python class `Interpolator` described below.
Class description:
Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode... | Implement the Python class `Interpolator` described below.
Class description:
Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode... | ceda4f1069a617bfd5f3ce61af06f24982cc3dfe | <|skeleton|>
class Interpolator:
"""Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode. The operation mode determines the int... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Interpolator:
"""Interpolation class to estimate the values of arbitrary points from a given grid. The interpolator class is initialized with a mass axis defining the (symmetric) grid, a grid of values which are used as reference points, and a operation mode. The operation mode determines the interpolation me... | the_stack_v2_python_sparse | compas_python_utils/cosmic_integration/selection_effects.py | TeamCOMPAS/COMPAS | train | 61 |
f39e3d7e06ae9fb2d224c90ca0dd0edc7083e70c | [
"if not data or not k in data:\n return 0\nf1 = data.index(k)\nmax_num = max(data)\ndiff = max_num - k\nif diff == 0:\n return len(data) - f1\nfor i in range(1, diff + 1):\n if k + i in data:\n f2 = data.index(k + i)\n return f2 - f1",
"if not data:\n return -1\nnum = 0\nlength = len(dat... | <|body_start_0|>
if not data or not k in data:
return 0
f1 = data.index(k)
max_num = max(data)
diff = max_num - k
if diff == 0:
return len(data) - f1
for i in range(1, diff + 1):
if k + i in data:
f2 = data.index(k + i)
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def GetNumberOfK(self, data, k):
"""Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引"""
<|body_0|>
def GetNumberOfK2(self, data, k):
"""二分法的思想 找到第一次出现： 如果中间数字等于k，则判断前一位是否为k 找到最后一次出现： 如果中间数字等于k，则判断后一位是否为k"""
<|body_1|>
def getfirst(self, data, length, k... | stack_v2_sparse_classes_75kplus_train_074681 | 2,550 | no_license | [
{
"docstring": "Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引",
"name": "GetNumberOfK",
"signature": "def GetNumberOfK(self, data, k)"
},
{
"docstring": "二分法的思想 找到第一次出现： 如果中间数字等于k，则判断前一位是否为k 找到最后一次出现： 如果中间数字等于k，则判断后一位是否为k",
"name": "GetNumberOfK2",
"signature": "def GetNumberOfK2(self, data, ... | 4 | stack_v2_sparse_classes_30k_train_026896 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def GetNumberOfK(self, data, k): Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引
- def GetNumberOfK2(self, data, k): 二分法的思想 找到第一次出现： 如果中间数字等于k，则判断前一位是否为k 找到最后一次出现： 如果中间数字等于k，则判断后一位是否为k
... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def GetNumberOfK(self, data, k): Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引
- def GetNumberOfK2(self, data, k): 二分法的思想 找到第一次出现： 如果中间数字等于k，则判断前一位是否为k 找到最后一次出现： 如果中间数字等于k，则判断后一位是否为k
... | 24dd0fcf44a84126d7c88e3d4622c26262e72863 | <|skeleton|>
class Solution:
def GetNumberOfK(self, data, k):
"""Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引"""
<|body_0|>
def GetNumberOfK2(self, data, k):
"""二分法的思想 找到第一次出现： 如果中间数字等于k，则判断前一位是否为k 找到最后一次出现： 如果中间数字等于k，则判断后一位是否为k"""
<|body_1|>
def getfirst(self, data, length, k... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def GetNumberOfK(self, data, k):
"""Python特色解法 找到数字第一次出现的索引，和原数组中该数字后的一个数字索引"""
if not data or not k in data:
return 0
f1 = data.index(k)
max_num = max(data)
diff = max_num - k
if diff == 0:
return len(data) - f1
for i i... | the_stack_v2_python_sparse | 55.在排序数组中查找数字.py | costume24/Sword-to-Offer | train | 0 | |
57c5a611a28dd856921f73fbb019ef1133184adc | [
"user = User.objects.create_user('username', 'myemail@test.com', 'password')\nself.client.login(username='username', password='password')\npage = self.client.get('/accounts/profile/', follow=True)\nself.assertEqual(page.status_code, 200)\nself.assertTemplateUsed(page, 'profile.html')",
"page = self.client.get('/a... | <|body_start_0|>
user = User.objects.create_user('username', 'myemail@test.com', 'password')
self.client.login(username='username', password='password')
page = self.client.get('/accounts/profile/', follow=True)
self.assertEqual(page.status_code, 200)
self.assertTemplateUsed(page,... | test the profile views | TestAccountViewsProfile | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAccountViewsProfile:
"""test the profile views"""
def test_get_profile_page_when_someone_logged_in(self):
"""test profile view when someone is logged in"""
<|body_0|>
def test_profile_view_when_no_one_logged_in(self):
"""test profile view when no-one is logge... | stack_v2_sparse_classes_75kplus_train_074682 | 15,097 | no_license | [
{
"docstring": "test profile view when someone is logged in",
"name": "test_get_profile_page_when_someone_logged_in",
"signature": "def test_get_profile_page_when_someone_logged_in(self)"
},
{
"docstring": "test profile view when no-one is logged in",
"name": "test_profile_view_when_no_one_l... | 2 | null | Implement the Python class `TestAccountViewsProfile` described below.
Class description:
test the profile views
Method signatures and docstrings:
- def test_get_profile_page_when_someone_logged_in(self): test profile view when someone is logged in
- def test_profile_view_when_no_one_logged_in(self): test profile view... | Implement the Python class `TestAccountViewsProfile` described below.
Class description:
test the profile views
Method signatures and docstrings:
- def test_get_profile_page_when_someone_logged_in(self): test profile view when someone is logged in
- def test_profile_view_when_no_one_logged_in(self): test profile view... | a80148cb642cb09dac57cff18483be14fed67dfd | <|skeleton|>
class TestAccountViewsProfile:
"""test the profile views"""
def test_get_profile_page_when_someone_logged_in(self):
"""test profile view when someone is logged in"""
<|body_0|>
def test_profile_view_when_no_one_logged_in(self):
"""test profile view when no-one is logge... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestAccountViewsProfile:
"""test the profile views"""
def test_get_profile_page_when_someone_logged_in(self):
"""test profile view when someone is logged in"""
user = User.objects.create_user('username', 'myemail@test.com', 'password')
self.client.login(username='username', passwo... | the_stack_v2_python_sparse | accounts/tests_views.py | sarahbarron/Stream-3-Project | train | 1 |
3996e26afa2e86ba50488322ec2955d34ba6f18c | [
"res = [[1]] if numRows else []\nfor i in range(1, numRows):\n res.append(self.getRow(i))\nreturn res",
"arr = [1]\nfor i in range(rowIndex):\n arr.append(arr[i] * (rowIndex - i) / (i + 1))\nreturn arr"
] | <|body_start_0|>
res = [[1]] if numRows else []
for i in range(1, numRows):
res.append(self.getRow(i))
return res
<|end_body_0|>
<|body_start_1|>
arr = [1]
for i in range(rowIndex):
arr.append(arr[i] * (rowIndex - i) / (i + 1))
return arr
<|end_bo... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
res = [[1]] if numRows else []
... | stack_v2_sparse_classes_75kplus_train_074683 | 1,631 | no_license | [
{
"docstring": ":type numRows: int :rtype: List[List[int]]",
"name": "generate",
"signature": "def generate(self, numRows)"
},
{
"docstring": ":type rowIndex: int :rtype: List[int]",
"name": "getRow",
"signature": "def getRow(self, rowIndex)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016505 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def generate(self, numRows): :type numRows: int :rtype: List[List[int]]
- def getRow(self, rowIndex): :type rowIndex: int :rtype: List[int]
<|skeleton|>
class Solution:
def... | 546cbce06fcd4bc34e16d42b5d5eb68fb25e16a9 | <|skeleton|>
class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
<|body_0|>
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Solution:
def generate(self, numRows):
""":type numRows: int :rtype: List[List[int]]"""
res = [[1]] if numRows else []
for i in range(1, numRows):
res.append(self.getRow(i))
return res
def getRow(self, rowIndex):
""":type rowIndex: int :rtype: List[int]... | the_stack_v2_python_sparse | leetcode/solution_118.py | eselyavka/python | train | 0 | |
f113b016e1e03002fb2e1b385a48a185a9c02a7a | [
"self.func = building_func\nfor key, value in kwargs.items():\n setattr(self, key, value)\nself.qml_Hs, self.labels, self.recycle_rule, self.model_params, self.n_states, self.n_hs, self.n_kappas, self.h_max, self.kappa_max = self.func(**kwargs)\nself.n_states = len(self.qml_Hs)",
"try:\n _, _ = (self.true_e... | <|body_start_0|>
self.func = building_func
for key, value in kwargs.items():
setattr(self, key, value)
self.qml_Hs, self.labels, self.recycle_rule, self.model_params, self.n_states, self.n_hs, self.n_kappas, self.h_max, self.kappa_max = self.func(**kwargs)
self.n_states = len... | hamiltonian | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class hamiltonian:
def __init__(self, building_func: Callable, **kwargs):
"""Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model **kwags : arguments Arguments of the building_func function"""
<|body_0|>
def add_true... | stack_v2_sparse_classes_75kplus_train_074684 | 3,748 | permissive | [
{
"docstring": "Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model **kwags : arguments Arguments of the building_func function",
"name": "__init__",
"signature": "def __init__(self, building_func: Callable, **kwargs)"
},
{
"docst... | 4 | stack_v2_sparse_classes_30k_train_031925 | Implement the Python class `hamiltonian` described below.
Class description:
Implement the hamiltonian class.
Method signatures and docstrings:
- def __init__(self, building_func: Callable, **kwargs): Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model... | Implement the Python class `hamiltonian` described below.
Class description:
Implement the hamiltonian class.
Method signatures and docstrings:
- def __init__(self, building_func: Callable, **kwargs): Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model... | b14948ca1c91b1e38e2de3e0c98c64b488a7a228 | <|skeleton|>
class hamiltonian:
def __init__(self, building_func: Callable, **kwargs):
"""Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model **kwags : arguments Arguments of the building_func function"""
<|body_0|>
def add_true... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class hamiltonian:
def __init__(self, building_func: Callable, **kwargs):
"""Hamiltonian class Parameters ---------- building_func : function Function for preparing the hamiltonians of the model **kwags : arguments Arguments of the building_func function"""
self.func = building_func
for key,... | the_stack_v2_python_sparse | src/PhaseEstimation/hamiltonians.py | CERN-IT-INNOVATION/Quantum-Phase-Detection-ANNNI | train | 4 | |
0b4481d4fb376625a073844a3857a36b906621a1 | [
"assert check_argument_types()\nsuper(StyleTokenLayer, self).__init__()\ngst_embs = torch.randn(gst_tokens, gst_token_dim // gst_heads)\nself.register_parameter('gst_embs', torch.nn.Parameter(gst_embs))\nself.mha = MultiHeadedAttention(q_dim=ref_embed_dim, k_dim=gst_token_dim // gst_heads, v_dim=gst_token_dim // gs... | <|body_start_0|>
assert check_argument_types()
super(StyleTokenLayer, self).__init__()
gst_embs = torch.randn(gst_tokens, gst_token_dim // gst_heads)
self.register_parameter('gst_embs', torch.nn.Parameter(gst_embs))
self.mha = MultiHeadedAttention(q_dim=ref_embed_dim, k_dim=gst_t... | Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org/abs/1803.09017 Args: ref_embe... | StyleTokenLayer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StyleTokenLayer:
"""Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: http... | stack_v2_sparse_classes_75kplus_train_074685 | 10,101 | permissive | [
{
"docstring": "Initilize style token layer module.",
"name": "__init__",
"signature": "def __init__(self, ref_embed_dim: int=128, gst_tokens: int=10, gst_token_dim: int=256, gst_heads: int=4, dropout_rate: float=0.0)"
},
{
"docstring": "Calculate forward propagation. Args: ref_embs (Tensor): Re... | 2 | stack_v2_sparse_classes_30k_train_043713 | Implement the Python class `StyleTokenLayer` described below.
Class description:
Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfe... | Implement the Python class `StyleTokenLayer` described below.
Class description:
Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfe... | bcd20948db7846ee523443ef9fd78c7a1248c95e | <|skeleton|>
class StyleTokenLayer:
"""Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: http... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class StyleTokenLayer:
"""Style token layer module. This module is style token layer introduced in `Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`. .. _`Style Tokens: Unsupervised Style Modeling, Control and Transfer in End-to-End Speech Synthesis`: https://arxiv.org... | the_stack_v2_python_sparse | espnet2/tts/gst/style_encoder.py | espnet/espnet | train | 7,242 |
86951d6db83ab5f1900c3e52c12cae259b1c6310 | [
"super(CriticSr, self).__init__()\nself.sr_net = sr_net\nself.fc1 = nn.Linear(sr_size, 400)\nself.fc2 = nn.Linear(400 + action_dim, 300)\nself.fc3 = nn.Linear(300, 1)\nfan_in, _ = nn.init._calculate_fan_in_and_fan_out(self.fc1.weight)\nnn.init.uniform_(self.fc1.weight, -1 / math.sqrt(fan_in), 1 / math.sqrt(fan_in))... | <|body_start_0|>
super(CriticSr, self).__init__()
self.sr_net = sr_net
self.fc1 = nn.Linear(sr_size, 400)
self.fc2 = nn.Linear(400 + action_dim, 300)
self.fc3 = nn.Linear(300, 1)
fan_in, _ = nn.init._calculate_fan_in_and_fan_out(self.fc1.weight)
nn.init.uniform_(s... | Represents a Critic in the Actor to Critic Model. | CriticSr | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CriticSr:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, sr_net, sr_size, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
<|body_0|>
def forward(self, obs_batch, a... | stack_v2_sparse_classes_75kplus_train_074686 | 13,450 | no_license | [
{
"docstring": "Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs",
"name": "__init__",
"signature": "def __init__(self, sr_net, sr_size, action_dim)"
},
{
"docstring": "Generate Q-values for the batch of states and actions pairs. Args: ... | 2 | stack_v2_sparse_classes_30k_train_006629 | Implement the Python class `CriticSr` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, sr_net, sr_size, action_dim): Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs
... | Implement the Python class `CriticSr` described below.
Class description:
Represents a Critic in the Actor to Critic Model.
Method signatures and docstrings:
- def __init__(self, sr_net, sr_size, action_dim): Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs
... | 6dcb04e79f776fc780b843208e2c689578c94bb3 | <|skeleton|>
class CriticSr:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, sr_net, sr_size, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
<|body_0|>
def forward(self, obs_batch, a... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class CriticSr:
"""Represents a Critic in the Actor to Critic Model."""
def __init__(self, sr_net, sr_size, action_dim):
"""Initialise layers. Args: state_dim (int) : Number of state inputs action_dim (int) : Number of action ouputs"""
super(CriticSr, self).__init__()
self.sr_net = sr_n... | the_stack_v2_python_sparse | retina_reinforcement_sim/src/model/models.py | lewisboyd/MsciProject | train | 0 |
1a422cb34d04fe87d546b4c7c70f5a0d46a91771 | [
"self._device = torch.device('cuda' if torch.cuda.is_available() and use_cuda_if_available else 'cpu')\nself._lod = lod\nself._lsd = 2 * self._lod\nself._enc_out_normalization = 'pre'\nself._initial_state_variance = 10.0\nself._learning_rate = 0.001\nEncoder._build_hidden_layers = self._build_enc_hidden_layers\nenc... | <|body_start_0|>
self._device = torch.device('cuda' if torch.cuda.is_available() and use_cuda_if_available else 'cpu')
self._lod = lod
self._lsd = 2 * self._lod
self._enc_out_normalization = 'pre'
self._initial_state_variance = 10.0
self._learning_rate = 0.001
Enc... | LSTMBaseline | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LSTMBaseline:
def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True):
"""TODO: Gradient Clipping? :param target_dim: :param lod: :param cell_config: :param use_cuda_if_available:"""
<|body_0|>
def forward(self, obs_batch: tor... | stack_v2_sparse_classes_75kplus_train_074687 | 2,538 | permissive | [
{
"docstring": "TODO: Gradient Clipping? :param target_dim: :param lod: :param cell_config: :param use_cuda_if_available:",
"name": "__init__",
"signature": "def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True)"
},
{
"docstring": ":param obs_ba... | 2 | stack_v2_sparse_classes_30k_train_002799 | Implement the Python class `LSTMBaseline` described below.
Class description:
Implement the LSTMBaseline class.
Method signatures and docstrings:
- def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True): TODO: Gradient Clipping? :param target_dim: :param lod: :param c... | Implement the Python class `LSTMBaseline` described below.
Class description:
Implement the LSTMBaseline class.
Method signatures and docstrings:
- def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True): TODO: Gradient Clipping? :param target_dim: :param lod: :param c... | 7a8ae18c17ff3f324f58a6d2ef8ee93265a6fa07 | <|skeleton|>
class LSTMBaseline:
def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True):
"""TODO: Gradient Clipping? :param target_dim: :param lod: :param cell_config: :param use_cuda_if_available:"""
<|body_0|>
def forward(self, obs_batch: tor... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LSTMBaseline:
def __init__(self, target_dim: int, lod: int, cell_config: ConfigDict, use_cuda_if_available: bool=True):
"""TODO: Gradient Clipping? :param target_dim: :param lod: :param cell_config: :param use_cuda_if_available:"""
self._device = torch.device('cuda' if torch.cuda.is_available(... | the_stack_v2_python_sparse | rkn/LSTMBaseline.py | RyanLiangY/action-conditional-rkn | train | 0 | |
1b6ac686ffcae1ec157f3904d6ddf975298a264c | [
"super(RPN, self).__init__()\nstride = 1\npadding = 1\nbias = True\nself.num_anchors = len(ratios) * len(scales)\nself.RPN_conv = nn.Conv2d(input_depth, output_depth, size, stride, padding, bias=bias)\nself.ncls_out = self.num_anchors\nself.RPN_cls_score = nn.Conv2d(output_depth, self.ncls_out, 1, 1)\nself.RPN_cls_... | <|body_start_0|>
super(RPN, self).__init__()
stride = 1
padding = 1
bias = True
self.num_anchors = len(ratios) * len(scales)
self.RPN_conv = nn.Conv2d(input_depth, output_depth, size, stride, padding, bias=bias)
self.ncls_out = self.num_anchors
self.RPN_cl... | RPN | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RPN:
def __init__(self, input_depth, output_depth, ratios, scales, size=3):
"""Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: window size of RPN (kernel)"""
<|body_0|>
def forward(self, feature_map):
... | stack_v2_sparse_classes_75kplus_train_074688 | 1,812 | no_license | [
{
"docstring": "Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: window size of RPN (kernel)",
"name": "__init__",
"signature": "def __init__(self, input_depth, output_depth, ratios, scales, size=3)"
},
{
"docstring": "process the... | 2 | stack_v2_sparse_classes_30k_train_027801 | Implement the Python class `RPN` described below.
Class description:
Implement the RPN class.
Method signatures and docstrings:
- def __init__(self, input_depth, output_depth, ratios, scales, size=3): Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: wi... | Implement the Python class `RPN` described below.
Class description:
Implement the RPN class.
Method signatures and docstrings:
- def __init__(self, input_depth, output_depth, ratios, scales, size=3): Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: wi... | 225acd5dcde2ab225761ce83f5c9b42e33fdd27c | <|skeleton|>
class RPN:
def __init__(self, input_depth, output_depth, ratios, scales, size=3):
"""Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: window size of RPN (kernel)"""
<|body_0|>
def forward(self, feature_map):
... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class RPN:
def __init__(self, input_depth, output_depth, ratios, scales, size=3):
"""Initialize a region Proposal network :param input_depth: number of filters coming out of the backbone :param size: window size of RPN (kernel)"""
super(RPN, self).__init__()
stride = 1
padding = 1
... | the_stack_v2_python_sparse | model/rpn/rpn.py | UW-COSMOS/mmmask-rcnn | train | 2 | |
de5bdcf5a8363ba879073aee8e66ce7485141306 | [
"prefix = nums[:]\nfor i in range(1, len(prefix)):\n prefix[i] += prefix[i - 1]\nself.prefix = prefix",
"if i == 0:\n return self.prefix[j]\nelse:\n return self.prefix[j] - self.prefix[i - 1]"
] | <|body_start_0|>
prefix = nums[:]
for i in range(1, len(prefix)):
prefix[i] += prefix[i - 1]
self.prefix = prefix
<|end_body_0|>
<|body_start_1|>
if i == 0:
return self.prefix[j]
else:
return self.prefix[j] - self.prefix[i - 1]
<|end_body_1|>
| NumArray | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
prefix = nums[:]
for i in range(1, len(prefix)):
... | stack_v2_sparse_classes_75kplus_train_074689 | 586 | no_license | [
{
"docstring": ":type nums: List[int]",
"name": "__init__",
"signature": "def __init__(self, nums)"
},
{
"docstring": ":type i: int :type j: int :rtype: int",
"name": "sumRange",
"signature": "def sumRange(self, i, j)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012015 | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int | Implement the Python class `NumArray` described below.
Class description:
Implement the NumArray class.
Method signatures and docstrings:
- def __init__(self, nums): :type nums: List[int]
- def sumRange(self, i, j): :type i: int :type j: int :rtype: int
<|skeleton|>
class NumArray:
def __init__(self, nums):
... | 0e35e4cc87bd41144b8e34302aafe776fec1b356 | <|skeleton|>
class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
<|body_0|>
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NumArray:
def __init__(self, nums):
""":type nums: List[int]"""
prefix = nums[:]
for i in range(1, len(prefix)):
prefix[i] += prefix[i - 1]
self.prefix = prefix
def sumRange(self, i, j):
""":type i: int :type j: int :rtype: int"""
if i == 0:
... | the_stack_v2_python_sparse | LeetCode/303-range_sum_query_immutable.py | davll/practical-algorithms | train | 0 | |
03f780bbaa0af7aa1ebb67bc3f2c426296214706 | [
"self.user_agent: Optional[str] = None\nself.forecast_type = 'compact'\nself.save_location = './data'\nself.base_url = 'https://api.met.no/weatherapi/locationforecast/2.0/'\nself.user_config_file: Optional[str] = None\nself.get_config()",
"for file in self.files:\n if self.cwd.joinpath(file).is_file():\n ... | <|body_start_0|>
self.user_agent: Optional[str] = None
self.forecast_type = 'compact'
self.save_location = './data'
self.base_url = 'https://api.met.no/weatherapi/locationforecast/2.0/'
self.user_config_file: Optional[str] = None
self.get_config()
<|end_body_0|>
<|body_s... | Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Optional[str]): The user config file from which the configuration was taken,... | Config | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Config:
"""Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Optional[str]): The user config file from ... | stack_v2_sparse_classes_75kplus_train_074690 | 2,914 | no_license | [
{
"docstring": "Create Config object with the current user configuration. Uses default config if no configuration is supplied.",
"name": "__init__",
"signature": "def __init__(self) -> None"
},
{
"docstring": "Generator of files to look for user configuration.",
"name": "possible_user_config... | 4 | stack_v2_sparse_classes_30k_test_001794 | Implement the Python class `Config` described below.
Class description:
Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Opt... | Implement the Python class `Config` described below.
Class description:
Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Opt... | 49271f05d110e10035e5e017805abc9d2bd29387 | <|skeleton|>
class Config:
"""Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Optional[str]): The user config file from ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class Config:
"""Retrieves and stores user configuration. Attributes: forecast_type (str): The forecast type to use user_agent (Optional[str]): A user agent string save_location (str): Location to save data to base_url (str): Url for requests user_config_file (Optional[str]): The user config file from which the con... | the_stack_v2_python_sparse | server/venv/Lib/site-packages/metno_locationforecast/config.py | WilliamMRS/CoT | train | 0 |
79b78600bd5f5bba8c03838a163acbbbdca34590 | [
"self.firstname = firstname\nself.lastname = lastname\nself.age = age\nself.sex = sex\nself.login_attempts = 0",
"print(f'Name: {self.firstname.title()} {self.lastname.title()}')\nprint(f'Age: {self.age}')\nprint(f'Sex: {self.sex}')"
] | <|body_start_0|>
self.firstname = firstname
self.lastname = lastname
self.age = age
self.sex = sex
self.login_attempts = 0
<|end_body_0|>
<|body_start_1|>
print(f'Name: {self.firstname.title()} {self.lastname.title()}')
print(f'Age: {self.age}')
print(f'S... | Basic characteristics of a user | User | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class User:
"""Basic characteristics of a user"""
def __init__(self, firstname, lastname, age, sex):
"""Initialize a specific user"""
<|body_0|>
def user_description(self):
"""if called, provides basic info about the user"""
<|body_1|>
<|end_skeleton|>
<|body... | stack_v2_sparse_classes_75kplus_train_074691 | 2,586 | no_license | [
{
"docstring": "Initialize a specific user",
"name": "__init__",
"signature": "def __init__(self, firstname, lastname, age, sex)"
},
{
"docstring": "if called, provides basic info about the user",
"name": "user_description",
"signature": "def user_description(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_016011 | Implement the Python class `User` described below.
Class description:
Basic characteristics of a user
Method signatures and docstrings:
- def __init__(self, firstname, lastname, age, sex): Initialize a specific user
- def user_description(self): if called, provides basic info about the user | Implement the Python class `User` described below.
Class description:
Basic characteristics of a user
Method signatures and docstrings:
- def __init__(self, firstname, lastname, age, sex): Initialize a specific user
- def user_description(self): if called, provides basic info about the user
<|skeleton|>
class User:
... | 460ab20baccc199a453e0411210dca54ed01f5d8 | <|skeleton|>
class User:
"""Basic characteristics of a user"""
def __init__(self, firstname, lastname, age, sex):
"""Initialize a specific user"""
<|body_0|>
def user_description(self):
"""if called, provides basic info about the user"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class User:
"""Basic characteristics of a user"""
def __init__(self, firstname, lastname, age, sex):
"""Initialize a specific user"""
self.firstname = firstname
self.lastname = lastname
self.age = age
self.sex = sex
self.login_attempts = 0
def user_descripti... | the_stack_v2_python_sparse | classes2.py | Casper-V/Oefening | train | 1 |
cdfbf5e8b614f4709b2b35703a562c839c88df4f | [
"logging.info('Validando os dados para criação do usuário na plataforma ALMA.')\nif 'user' not in data.keys():\n raise ParseError('Objeto user é obrigatório.')\nreturn data",
"logging.info(f'Dados para criação do usuário na plataforma ALMA: {validated_data}')\nserializer = UserRegisterSerializer()\nuser_valida... | <|body_start_0|>
logging.info('Validando os dados para criação do usuário na plataforma ALMA.')
if 'user' not in data.keys():
raise ParseError('Objeto user é obrigatório.')
return data
<|end_body_0|>
<|body_start_1|>
logging.info(f'Dados para criação do usuário na plataforma... | O serializer para registrar um novo usuário | AlmaUserRegisterSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AlmaUserRegisterSerializer:
"""O serializer para registrar um novo usuário"""
def validate(self, data):
"""Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde."""
<|body_0|>
def create(self, validated_data):
"""Cria... | stack_v2_sparse_classes_75kplus_train_074692 | 3,343 | no_license | [
{
"docstring": "Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde.",
"name": "validate",
"signature": "def validate(self, data)"
},
{
"docstring": "Cria e retorna um novo usuário",
"name": "create",
"signature": "def create(self, validate... | 2 | stack_v2_sparse_classes_30k_train_024878 | Implement the Python class `AlmaUserRegisterSerializer` described below.
Class description:
O serializer para registrar um novo usuário
Method signatures and docstrings:
- def validate(self, data): Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde.
- def create(self, ... | Implement the Python class `AlmaUserRegisterSerializer` described below.
Class description:
O serializer para registrar um novo usuário
Method signatures and docstrings:
- def validate(self, data): Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde.
- def create(self, ... | 3a8009b17518384c269dfee3c8fe44cbe2567cc0 | <|skeleton|>
class AlmaUserRegisterSerializer:
"""O serializer para registrar um novo usuário"""
def validate(self, data):
"""Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde."""
<|body_0|>
def create(self, validated_data):
"""Cria... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class AlmaUserRegisterSerializer:
"""O serializer para registrar um novo usuário"""
def validate(self, data):
"""Valide se existe outro usuário com o mesmo endereço de email e verifique se a senha não corresponde."""
logging.info('Validando os dados para criação do usuário na plataforma ALMA.')... | the_stack_v2_python_sparse | project/alma/accounts/serializers.py | VWApplications/VWAlmaAPI | train | 1 |
2903cc2bb853e9170eb33c9b9d040dadc0381b0a | [
"super().__init__()\nself.rel_pos_emb = torch.nn.Parameter(torch.randn(2 * seq_len - 1, int(dim_head)))\nself.rel_pos = calc_rel_pos(seq_len)",
"content_lambda = torch.einsum('bnk,bnv->bkv', torch.softmax(k, dim=-1), v)\ncontent_output = torch.einsum('bnk,bkv->bnv', q, content_lambda)\nrel_pos_emb = self.rel_pos_... | <|body_start_0|>
super().__init__()
self.rel_pos_emb = torch.nn.Parameter(torch.randn(2 * seq_len - 1, int(dim_head)))
self.rel_pos = calc_rel_pos(seq_len)
<|end_body_0|>
<|body_start_1|>
content_lambda = torch.einsum('bnk,bnv->bkv', torch.softmax(k, dim=-1), v)
content_output =... | LambdaLayer | [
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LambdaLayer:
def __init__(self, seq_len: int, dim_head: int, *_, **__):
"""Attention approximation using Lambda layers, from "Lambda networks: modeling long-range interactions without attention.", Bello, I. (2021)."""
<|body_0|>
def forward(self, q: torch.Tensor, k: torch.Te... | stack_v2_sparse_classes_75kplus_train_074693 | 2,479 | permissive | [
{
"docstring": "Attention approximation using Lambda layers, from \"Lambda networks: modeling long-range interactions without attention.\", Bello, I. (2021).",
"name": "__init__",
"signature": "def __init__(self, seq_len: int, dim_head: int, *_, **__)"
},
{
"docstring": "..NOTE: We're reusing th... | 2 | stack_v2_sparse_classes_30k_train_036160 | Implement the Python class `LambdaLayer` described below.
Class description:
Implement the LambdaLayer class.
Method signatures and docstrings:
- def __init__(self, seq_len: int, dim_head: int, *_, **__): Attention approximation using Lambda layers, from "Lambda networks: modeling long-range interactions without atte... | Implement the Python class `LambdaLayer` described below.
Class description:
Implement the LambdaLayer class.
Method signatures and docstrings:
- def __init__(self, seq_len: int, dim_head: int, *_, **__): Attention approximation using Lambda layers, from "Lambda networks: modeling long-range interactions without atte... | 71bab94cb954e6e291ca93d3bce5dffadab4286d | <|skeleton|>
class LambdaLayer:
def __init__(self, seq_len: int, dim_head: int, *_, **__):
"""Attention approximation using Lambda layers, from "Lambda networks: modeling long-range interactions without attention.", Bello, I. (2021)."""
<|body_0|>
def forward(self, q: torch.Tensor, k: torch.Te... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class LambdaLayer:
def __init__(self, seq_len: int, dim_head: int, *_, **__):
"""Attention approximation using Lambda layers, from "Lambda networks: modeling long-range interactions without attention.", Bello, I. (2021)."""
super().__init__()
self.rel_pos_emb = torch.nn.Parameter(torch.randn... | the_stack_v2_python_sparse | xformers/components/attention/lambda_layer.py | hercules261188/xformers | train | 1 | |
604ac42eb5b83b65e42c3706cc61fbde3b72256f | [
"question = 'What language did you first learn to speak?'\nself.my_survey = AnonymousSurvey(question)\n\"'создает экземпляр опроса; self позволяет использовать в любом месте класса\"\nself.responses = ['English', 'Spanish', 'Mandarin']\n\"'создает список ответов; self позволяет использовать в любом месте класса\"",... | <|body_start_0|>
question = 'What language did you first learn to speak?'
self.my_survey = AnonymousSurvey(question)
"'создает экземпляр опроса; self позволяет использовать в любом месте класса"
self.responses = ['English', 'Spanish', 'Mandarin']
"'создает список ответов; self по... | Тесты для класса AnonymousSurvey | TestAnonmyousSurvey | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestAnonmyousSurvey:
"""Тесты для класса AnonymousSurvey"""
def setUp(self):
"""'Создание опроса и набора ответов для всех тестовых методов."""
<|body_0|>
def test_store_single_response(self):
"""Проверяет, что один ответ сохранен правильно. Больше НЕ СОЗДАЕМ ЭКЗ... | stack_v2_sparse_classes_75kplus_train_074694 | 5,407 | permissive | [
{
"docstring": "'Создание опроса и набора ответов для всех тестовых методов.",
"name": "setUp",
"signature": "def setUp(self)"
},
{
"docstring": "Проверяет, что один ответ сохранен правильно. Больше НЕ СОЗДАЕМ ЭКЗЕМПЛЯР опроса и ОТВЕТЫ т.е. не пишем question = \"What language did you first learn... | 3 | stack_v2_sparse_classes_30k_train_052184 | Implement the Python class `TestAnonmyousSurvey` described below.
Class description:
Тесты для класса AnonymousSurvey
Method signatures and docstrings:
- def setUp(self): 'Создание опроса и набора ответов для всех тестовых методов.
- def test_store_single_response(self): Проверяет, что один ответ сохранен правильно. ... | Implement the Python class `TestAnonmyousSurvey` described below.
Class description:
Тесты для класса AnonymousSurvey
Method signatures and docstrings:
- def setUp(self): 'Создание опроса и набора ответов для всех тестовых методов.
- def test_store_single_response(self): Проверяет, что один ответ сохранен правильно. ... | af6a3d356f2ee7748e959c63768662fb16750c8d | <|skeleton|>
class TestAnonmyousSurvey:
"""Тесты для класса AnonymousSurvey"""
def setUp(self):
"""'Создание опроса и набора ответов для всех тестовых методов."""
<|body_0|>
def test_store_single_response(self):
"""Проверяет, что один ответ сохранен правильно. Больше НЕ СОЗДАЕМ ЭКЗ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class TestAnonmyousSurvey:
"""Тесты для класса AnonymousSurvey"""
def setUp(self):
"""'Создание опроса и набора ответов для всех тестовых методов."""
question = 'What language did you first learn to speak?'
self.my_survey = AnonymousSurvey(question)
"'создает экземпляр опроса; s... | the_stack_v2_python_sparse | test_2_survey.py | HeyArtem/python_lesson_10 | train | 0 |
f8f5abe5119d83aa6a2066384693226d96de6478 | [
"logger.debug('Visiting %s', self.novel_url)\nsoup = self.get_soup(self.novel_url)\nself.novel_title = soup.select_one('div.book-name').text.strip()\nlogger.info('Novel title: %s', self.novel_title)\nself.novel_author = soup.select_one('div.author span.name').text.strip()\nlogger.info('Novel author: %s', self.novel... | <|body_start_0|>
logger.debug('Visiting %s', self.novel_url)
soup = self.get_soup(self.novel_url)
self.novel_title = soup.select_one('div.book-name').text.strip()
logger.info('Novel title: %s', self.novel_title)
self.novel_author = soup.select_one('div.author span.name').text.str... | NovelUpdatesCC | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class NovelUpdatesCC:
def read_novel_info(self):
"""Get novel title, autor, cover etc"""
<|body_0|>
def download_chapter_body(self, chapter):
"""Download body of a single chapter and return as clean html format."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_75kplus_train_074695 | 3,146 | permissive | [
{
"docstring": "Get novel title, autor, cover etc",
"name": "read_novel_info",
"signature": "def read_novel_info(self)"
},
{
"docstring": "Download body of a single chapter and return as clean html format.",
"name": "download_chapter_body",
"signature": "def download_chapter_body(self, c... | 2 | stack_v2_sparse_classes_30k_train_007936 | Implement the Python class `NovelUpdatesCC` described below.
Class description:
Implement the NovelUpdatesCC class.
Method signatures and docstrings:
- def read_novel_info(self): Get novel title, autor, cover etc
- def download_chapter_body(self, chapter): Download body of a single chapter and return as clean html fo... | Implement the Python class `NovelUpdatesCC` described below.
Class description:
Implement the NovelUpdatesCC class.
Method signatures and docstrings:
- def read_novel_info(self): Get novel title, autor, cover etc
- def download_chapter_body(self, chapter): Download body of a single chapter and return as clean html fo... | 451e816ab03c8466be90f6f0b3eaa52d799140ce | <|skeleton|>
class NovelUpdatesCC:
def read_novel_info(self):
"""Get novel title, autor, cover etc"""
<|body_0|>
def download_chapter_body(self, chapter):
"""Download body of a single chapter and return as clean html format."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class NovelUpdatesCC:
def read_novel_info(self):
"""Get novel title, autor, cover etc"""
logger.debug('Visiting %s', self.novel_url)
soup = self.get_soup(self.novel_url)
self.novel_title = soup.select_one('div.book-name').text.strip()
logger.info('Novel title: %s', self.novel... | the_stack_v2_python_sparse | lncrawl/sources/novelupdatescc.py | NNTin/lightnovel-crawler | train | 2 | |
631de2942d6f0b78ea75799a7cdf87ae27958f39 | [
"super().__init__()\nif not callable(raysampler):\n raise ValueError('\"raysampler\" has to be a \"Callable\" object.')\nif not callable(raymarcher):\n raise ValueError('\"raymarcher\" has to be a \"Callable\" object.')\nself.raysampler = raysampler\nself.raymarcher = raymarcher",
"if not callable(volumetri... | <|body_start_0|>
super().__init__()
if not callable(raysampler):
raise ValueError('"raysampler" has to be a "Callable" object.')
if not callable(raymarcher):
raise ValueError('"raymarcher" has to be a "Callable" object.')
self.raysampler = raysampler
self.... | A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input the rendering cameras as well as the `volumetric_function` `Callable`, which defines ... | ImplicitRenderer | [
"MIT",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ImplicitRenderer:
"""A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input the rendering cameras as well as the `vol... | stack_v2_sparse_classes_75kplus_train_074696 | 17,111 | permissive | [
{
"docstring": "Args: raysampler: A `Callable` that takes as input scene cameras (an instance of `CamerasBase`) and returns a RayBundle or HeterogeneousRayBundle, that describes the rays emitted from the cameras. raymarcher: A `Callable` that receives the response of the `volumetric_function` (an input to `self... | 2 | stack_v2_sparse_classes_30k_train_047012 | Implement the Python class `ImplicitRenderer` described below.
Class description:
A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input th... | Implement the Python class `ImplicitRenderer` described below.
Class description:
A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input th... | a3d99cab6bf5eb69be8d5eb48895da6edd859565 | <|skeleton|>
class ImplicitRenderer:
"""A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input the rendering cameras as well as the `vol... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class ImplicitRenderer:
"""A class for rendering a batch of implicit surfaces. The class should be initialized with a raysampler and raymarcher class which both have to be a `Callable`. VOLUMETRIC_FUNCTION The `forward` function of the renderer accepts as input the rendering cameras as well as the `volumetric_funct... | the_stack_v2_python_sparse | pytorch3d/renderer/implicit/renderer.py | facebookresearch/pytorch3d | train | 7,964 |
76bf9535afdc2396debb9e9d413902b39a7d5771 | [
"child_indices = heap._indices_of_children(index)\nvalid_child_indices = [i for i in child_indices if i < len(heap._data)]\nif not valid_child_indices:\n return\nparent_value = heap._data[index]\nfor i in valid_child_indices:\n child_value = heap._data[i]\n if child_value.priority < parent_value.priority:\... | <|body_start_0|>
child_indices = heap._indices_of_children(index)
valid_child_indices = [i for i in child_indices if i < len(heap._data)]
if not valid_child_indices:
return
parent_value = heap._data[index]
for i in valid_child_indices:
child_value = heap._... | HeapAssertions | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class HeapAssertions:
def assertHeap(self, heap, operation, index=0):
"""AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the assertHeap is being run."""
<|body_0|>
def assertIndices(self, heap):
"""AssertIndice... | stack_v2_sparse_classes_75kplus_train_074697 | 27,238 | no_license | [
{
"docstring": "AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the assertHeap is being run.",
"name": "assertHeap",
"signature": "def assertHeap(self, heap, operation, index=0)"
},
{
"docstring": "AssertIndices checks that the index... | 2 | null | Implement the Python class `HeapAssertions` described below.
Class description:
Implement the HeapAssertions class.
Method signatures and docstrings:
- def assertHeap(self, heap, operation, index=0): AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the ass... | Implement the Python class `HeapAssertions` described below.
Class description:
Implement the HeapAssertions class.
Method signatures and docstrings:
- def assertHeap(self, heap, operation, index=0): AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the ass... | d4db02f001fee61e7d86e50027b0d34a64c998bf | <|skeleton|>
class HeapAssertions:
def assertHeap(self, heap, operation, index=0):
"""AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the assertHeap is being run."""
<|body_0|>
def assertIndices(self, heap):
"""AssertIndice... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class HeapAssertions:
def assertHeap(self, heap, operation, index=0):
"""AssertHeap is an O(n) check that the heap is valid. Operation is a string indicating the operation after which the assertHeap is being run."""
child_indices = heap._indices_of_children(index)
valid_child_indices = [i fo... | the_stack_v2_python_sparse | 3. Heaps/student_files/test_car_queue.py | JonathanMichaelEdwards/COSC-122--Projects | train | 0 | |
b6e462fae276bc2cfbb8d86c9b3165dff01b1cdf | [
"test = 'abacabaca'\nd = Ling(test)\nself.assertEqual(d.s, 'abacabaca')\nself.assertEqual(Ling(test).calculate(), '3\\naca\\nba\\nca')\ntest = 'abaca'\nself.assertEqual(Ling(test).calculate(), '0')\ntest = 'fffffaafgfg'",
"import random\nimport timeit\ntest = str(nmax) + ' ' + str(nmax) + '\\n'\nnumnums = [str(i)... | <|body_start_0|>
test = 'abacabaca'
d = Ling(test)
self.assertEqual(d.s, 'abacabaca')
self.assertEqual(Ling(test).calculate(), '3\naca\nba\nca')
test = 'abaca'
self.assertEqual(Ling(test).calculate(), '0')
test = 'fffffaafgfg'
<|end_body_0|>
<|body_start_1|>
... | unitTests | [
"Unlicense",
"LicenseRef-scancode-public-domain"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class unitTests:
def test_single_test(self):
"""Ling class testing"""
<|body_0|>
def time_limit_test(self, nmax):
"""Timelimit testing"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
test = 'abacabaca'
d = Ling(test)
self.assertEqual(d.s, ... | stack_v2_sparse_classes_75kplus_train_074698 | 3,411 | permissive | [
{
"docstring": "Ling class testing",
"name": "test_single_test",
"signature": "def test_single_test(self)"
},
{
"docstring": "Timelimit testing",
"name": "time_limit_test",
"signature": "def time_limit_test(self, nmax)"
}
] | 2 | stack_v2_sparse_classes_30k_train_048147 | Implement the Python class `unitTests` described below.
Class description:
Implement the unitTests class.
Method signatures and docstrings:
- def test_single_test(self): Ling class testing
- def time_limit_test(self, nmax): Timelimit testing | Implement the Python class `unitTests` described below.
Class description:
Implement the unitTests class.
Method signatures and docstrings:
- def test_single_test(self): Ling class testing
- def time_limit_test(self, nmax): Timelimit testing
<|skeleton|>
class unitTests:
def test_single_test(self):
"""L... | ae02ea872ca91ef98630cc172a844b82cc56f621 | <|skeleton|>
class unitTests:
def test_single_test(self):
"""Ling class testing"""
<|body_0|>
def time_limit_test(self, nmax):
"""Timelimit testing"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class unitTests:
def test_single_test(self):
"""Ling class testing"""
test = 'abacabaca'
d = Ling(test)
self.assertEqual(d.s, 'abacabaca')
self.assertEqual(Ling(test).calculate(), '3\naca\nba\nca')
test = 'abaca'
self.assertEqual(Ling(test).calculate(), '0')
... | the_stack_v2_python_sparse | codeforces/667C_ling.py | snsokolov/contests | train | 1 | |
fd0a0ae0adc031f7afdb3cdb3a810ee944521902 | [
"if not mode in ['grid', 'muni', 'simu']:\n raise ValueError('Only \"grid\" and \"muni\" mode are allowed')\nself.GHI, self.WS, self.WD = (GHI, WS, WD)\nself.D_freq, self.h_freq = (D_freq, h_freq)\nself.mode = mode\nself.hours = hours\nif type(GHI) == pd.core.frame.DataFrame:\n self._install(GHI)\nelif type(... | <|body_start_0|>
if not mode in ['grid', 'muni', 'simu']:
raise ValueError('Only "grid" and "muni" mode are allowed')
self.GHI, self.WS, self.WD = (GHI, WS, WD)
self.D_freq, self.h_freq = (D_freq, h_freq)
self.mode = mode
self.hours = hours
if type(GHI) == pd... | Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in same format as GHI Input can be only one information, e.g. only GHI or even n... | forecast | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class forecast:
"""Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in same format as GHI Input can be only one ... | stack_v2_sparse_classes_75kplus_train_074699 | 35,934 | no_license | [
{
"docstring": "Initialises forecast and check which information is given. Also calls the install method (see forecast.install). Modes: \"grid\" and \"muni\" grid mode accepts forcast for given grid numbers muni mode accepts forecasts for given muni numbers simu mode accepts forecast initialised in simulation m... | 3 | stack_v2_sparse_classes_30k_train_013022 | Implement the Python class `forecast` described below.
Class description:
Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in sa... | Implement the Python class `forecast` described below.
Class description:
Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in sa... | 51aaf5123c2780dda89b2ae8d0a1e1b71768b2ed | <|skeleton|>
class forecast:
"""Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in same format as GHI Input can be only one ... | stack_v2_sparse_classes_75kplus | data/stack_v2_sparse_classes_30k | 75,829 | class forecast:
"""Structure to handle weather forecasts containing global irridiance, windspeed and wind direction. Input: GHI: Global irridicance as pandas dataframe preferably with timeseries as index WS: Windspeed in same format as GHI WD: Wind direction in same format as GHI Input can be only one information, ... | the_stack_v2_python_sparse | Libraries/import_forecast.py | JonasVilladsen/P6_software | train | 0 |
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