blob_id stringlengths 40 40 | bodies listlengths 2 6 | bodies_text stringlengths 196 6.73k | class_docstring stringlengths 0 700 | class_name stringlengths 1 86 | detected_licenses listlengths 0 45 | format_version stringclasses 1
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value | snapshot_source_dir stringclasses 1
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value | star_events_count int64 0 209k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
c68fc85e83eb424ffa23ce3f9e648f1c6a1ba6b1 | [
"if a & 1:\n return 3 * a + 1\nelse:\n return int(a / 2)",
"seq = []\nwhile True:\n a = cls.collatz(a)\n seq.append(a)\n if a == 1:\n break\nreturn seq",
"seq = cls.collatzSequence(a)\nseq = [a] + list(seq[0:-1])\nreturn tuple(map(lambda x: 1 - x & 1, seq))",
"w = 1\nfor i in seq[::-1]:\... | <|body_start_0|>
if a & 1:
return 3 * a + 1
else:
return int(a / 2)
<|end_body_0|>
<|body_start_1|>
seq = []
while True:
a = cls.collatz(a)
seq.append(a)
if a == 1:
break
return seq
<|end_body_1|>
<|bod... | contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required | Collatz | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Collatz:
"""contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required"""
def collatz(cls, a):
"""apply collatz function on a given number Parameters ---------- a : int Return ------ int"""
<|body_0|>
def c... | stack_v2_sparse_classes_36k_train_011100 | 3,247 | no_license | [
{
"docstring": "apply collatz function on a given number Parameters ---------- a : int Return ------ int",
"name": "collatz",
"signature": "def collatz(cls, a)"
},
{
"docstring": "return the collatz sequence of a number This will calculate all the sequence of numbers to get to 1 using collatz fu... | 4 | stack_v2_sparse_classes_30k_train_004026 | Implement the Python class `Collatz` described below.
Class description:
contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required
Method signatures and docstrings:
- def collatz(cls, a): apply collatz function on a given number Parameters ---------- a... | Implement the Python class `Collatz` described below.
Class description:
contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required
Method signatures and docstrings:
- def collatz(cls, a): apply collatz function on a given number Parameters ---------- a... | 2fa4eb77826e6d0f901043a900331b0c5e1f24ce | <|skeleton|>
class Collatz:
"""contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required"""
def collatz(cls, a):
"""apply collatz function on a given number Parameters ---------- a : int Return ------ int"""
<|body_0|>
def c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Collatz:
"""contains common functions for Collatz Conjecture all methods in this class are class methods so no object creation required"""
def collatz(cls, a):
"""apply collatz function on a given number Parameters ---------- a : int Return ------ int"""
if a & 1:
return 3 * a... | the_stack_v2_python_sparse | collatz.py | ink-hat/xmark | train | 1 |
5587c4f7dfff44dac2a119e2496c1c9512ac691a | [
"if model._meta.app_label == 'statis':\n return 'statis'\nreturn None",
"if model._meta.app_label == 'statis':\n return 'statis'\nreturn None",
"if obj1._meta.app_label == 'statis' or obj2._meta.app_label == 'statis':\n return True\nreturn None"
] | <|body_start_0|>
if model._meta.app_label == 'statis':
return 'statis'
return None
<|end_body_0|>
<|body_start_1|>
if model._meta.app_label == 'statis':
return 'statis'
return None
<|end_body_1|>
<|body_start_2|>
if obj1._meta.app_label == 'statis' or ob... | A router to control all database operations on models in the auth application. | StatisRouter | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StatisRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write aut... | stack_v2_sparse_classes_36k_train_011101 | 1,986 | permissive | [
{
"docstring": "Attempts to read auth models go to auth_db.",
"name": "db_for_read",
"signature": "def db_for_read(self, model, **hints)"
},
{
"docstring": "Attempts to write auth models go to auth_db.",
"name": "db_for_write",
"signature": "def db_for_write(self, model, **hints)"
},
... | 3 | stack_v2_sparse_classes_30k_train_014673 | Implement the Python class `StatisRouter` described below.
Class description:
A router to control all database operations on models in the auth application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to auth_db.
- def db_for_write(self, model, **hints): ... | Implement the Python class `StatisRouter` described below.
Class description:
A router to control all database operations on models in the auth application.
Method signatures and docstrings:
- def db_for_read(self, model, **hints): Attempts to read auth models go to auth_db.
- def db_for_write(self, model, **hints): ... | 38a551ad768b078278f749e8db8947a00827f1e5 | <|skeleton|>
class StatisRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
<|body_0|>
def db_for_write(self, model, **hints):
"""Attempts to write aut... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StatisRouter:
"""A router to control all database operations on models in the auth application."""
def db_for_read(self, model, **hints):
"""Attempts to read auth models go to auth_db."""
if model._meta.app_label == 'statis':
return 'statis'
return None
def db_for... | the_stack_v2_python_sparse | web_project/app/dbrouter/router.py | cash2one/fruit | train | 0 |
7dd95669338e433f0ed8768f3629ee091e61181a | [
"if not value:\n return []\nreturn value.split(',')",
"super().validate(value)\nfor email in value:\n validate_email(email)"
] | <|body_start_0|>
if not value:
return []
return value.split(',')
<|end_body_0|>
<|body_start_1|>
super().validate(value)
for email in value:
validate_email(email)
<|end_body_1|>
| MultiEmailField | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MultiEmailField:
def to_python(self, value):
"""Normalize data to a list of strings."""
<|body_0|>
def validate(self, value):
"""Check if value consists only of valid emails."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not value:
... | stack_v2_sparse_classes_36k_train_011102 | 1,491 | permissive | [
{
"docstring": "Normalize data to a list of strings.",
"name": "to_python",
"signature": "def to_python(self, value)"
},
{
"docstring": "Check if value consists only of valid emails.",
"name": "validate",
"signature": "def validate(self, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_015761 | Implement the Python class `MultiEmailField` described below.
Class description:
Implement the MultiEmailField class.
Method signatures and docstrings:
- def to_python(self, value): Normalize data to a list of strings.
- def validate(self, value): Check if value consists only of valid emails. | Implement the Python class `MultiEmailField` described below.
Class description:
Implement the MultiEmailField class.
Method signatures and docstrings:
- def to_python(self, value): Normalize data to a list of strings.
- def validate(self, value): Check if value consists only of valid emails.
<|skeleton|>
class Mult... | 1babcecabc42b325dc647294599c309d6bda1ad5 | <|skeleton|>
class MultiEmailField:
def to_python(self, value):
"""Normalize data to a list of strings."""
<|body_0|>
def validate(self, value):
"""Check if value consists only of valid emails."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MultiEmailField:
def to_python(self, value):
"""Normalize data to a list of strings."""
if not value:
return []
return value.split(',')
def validate(self, value):
"""Check if value consists only of valid emails."""
super().validate(value)
for em... | the_stack_v2_python_sparse | coworker/place/fields.py | upstar77/spacemap | train | 0 | |
d7170b7b793d57f11f5c2c21e0a29cd61ec4cc40 | [
"self.max_n = n\nself.solution_arr = list()\nself.all_fibs = list()",
"self.all_fibs.append(2)\nself.all_fibs.append(1)\nfib_nr = 2\nwhile fib_nr < self.max_n:\n fib_nr = self.all_fibs[0] + self.all_fibs[1]\n self.all_fibs.insert(0, fib_nr)",
"self.get_all_fibs()\nself.partition(solution=[])\nif self.solu... | <|body_start_0|>
self.max_n = n
self.solution_arr = list()
self.all_fibs = list()
<|end_body_0|>
<|body_start_1|>
self.all_fibs.append(2)
self.all_fibs.append(1)
fib_nr = 2
while fib_nr < self.max_n:
fib_nr = self.all_fibs[0] + self.all_fibs[1]
... | Class for solving the challenge | FibSolver | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FibSolver:
"""Class for solving the challenge"""
def __init__(self, n: int):
"""init the solution"""
<|body_0|>
def get_all_fibs(self):
"""Generate all fibonacci numbers"""
<|body_1|>
def find_solutions(self):
"""Print all solutions"""
... | stack_v2_sparse_classes_36k_train_011103 | 1,596 | no_license | [
{
"docstring": "init the solution",
"name": "__init__",
"signature": "def __init__(self, n: int)"
},
{
"docstring": "Generate all fibonacci numbers",
"name": "get_all_fibs",
"signature": "def get_all_fibs(self)"
},
{
"docstring": "Print all solutions",
"name": "find_solutions... | 4 | null | Implement the Python class `FibSolver` described below.
Class description:
Class for solving the challenge
Method signatures and docstrings:
- def __init__(self, n: int): init the solution
- def get_all_fibs(self): Generate all fibonacci numbers
- def find_solutions(self): Print all solutions
- def partition(self, id... | Implement the Python class `FibSolver` described below.
Class description:
Class for solving the challenge
Method signatures and docstrings:
- def __init__(self, n: int): init the solution
- def get_all_fibs(self): Generate all fibonacci numbers
- def find_solutions(self): Print all solutions
- def partition(self, id... | 63fb76188e132564e50feefd2d9d5b8491568948 | <|skeleton|>
class FibSolver:
"""Class for solving the challenge"""
def __init__(self, n: int):
"""init the solution"""
<|body_0|>
def get_all_fibs(self):
"""Generate all fibonacci numbers"""
<|body_1|>
def find_solutions(self):
"""Print all solutions"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FibSolver:
"""Class for solving the challenge"""
def __init__(self, n: int):
"""init the solution"""
self.max_n = n
self.solution_arr = list()
self.all_fibs = list()
def get_all_fibs(self):
"""Generate all fibonacci numbers"""
self.all_fibs.append(2)
... | the_stack_v2_python_sparse | challenge-077/lubos-kolouch/python/ch-1.py | southpawgeek/perlweeklychallenge-club | train | 1 |
13ecdc3abf138774ecd6ae0a21a5abc0bc3c11a0 | [
"try:\n uuid_value = getattr(model, 'uuid')\n return uuid_value[:8] + '_' + uuid_value[-12:]\nexcept:\n return 'no_model_uuid'",
"if username is None:\n return 'anonymous'\nelse:\n return username",
"if test is None:\n return 'raw simulation without running any CerebUnit test'\nelse:\n retu... | <|body_start_0|>
try:
uuid_value = getattr(model, 'uuid')
return uuid_value[:8] + '_' + uuid_value[-12:]
except:
return 'no_model_uuid'
<|end_body_0|>
<|body_start_1|>
if username is None:
return 'anonymous'
else:
return userna... | **Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +---------------------------------+----------------------------------+ | :py:meth:`.ge... | FileGenerator | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FileGenerator:
"""**Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +---------------------------------+----------... | stack_v2_sparse_classes_36k_train_011104 | 7,147 | permissive | [
{
"docstring": "Try extracting the ``uuid`` attribute value of the model and return it or return ``\"no_model_uuid\"``. **Argument:** The instantiated model is passed into this function.",
"name": "get_modelID",
"signature": "def get_modelID(model)"
},
{
"docstring": "Returns the username (also ... | 6 | null | Implement the Python class `FileGenerator` described below.
Class description:
**Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +-----... | Implement the Python class `FileGenerator` described below.
Class description:
**Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +-----... | 316d69d7aed7a0292ce93c7fea20473e48cfce60 | <|skeleton|>
class FileGenerator:
"""**Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +---------------------------------+----------... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FileGenerator:
"""**Available Methods:** +---------------------------------+----------------------------------+ | Method name | Method type | +=================================+==================================+ | :py:meth:`.forfile` | class method | +---------------------------------+-----------------------... | the_stack_v2_python_sparse | managers/operatorsTranscribe/metadata_filegenerator.py | cerebunit/cerebmodels | train | 0 |
6020acf1143a12164983ea1e03fd1c2d2c0b8430 | [
"try:\n verify_token(request.headers)\nexcept Exception as err:\n ns.abort(401, message=err)\ntry:\n prog = programas_sociales.read(id)\nexcept psycopg2.Error as err:\n ns.abort(400, message=get_msg_pgerror(err))\nexcept EmptySetError:\n ns.abort(404, message=self.progr_not_found)\nexcept Exception a... | <|body_start_0|>
try:
verify_token(request.headers)
except Exception as err:
ns.abort(401, message=err)
try:
prog = programas_sociales.read(id)
except psycopg2.Error as err:
ns.abort(400, message=get_msg_pgerror(err))
except EmptySe... | ProgramaSocial | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ProgramaSocial:
def get(self, id):
"""Recuperar un programa social"""
<|body_0|>
def put(self, id):
"""Actualizar un programa social"""
<|body_1|>
def delete(self, id):
"""Eliminar un programa social"""
<|body_2|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_011105 | 6,332 | no_license | [
{
"docstring": "Recuperar un programa social",
"name": "get",
"signature": "def get(self, id)"
},
{
"docstring": "Actualizar un programa social",
"name": "put",
"signature": "def put(self, id)"
},
{
"docstring": "Eliminar un programa social",
"name": "delete",
"signature"... | 3 | stack_v2_sparse_classes_30k_train_007117 | Implement the Python class `ProgramaSocial` described below.
Class description:
Implement the ProgramaSocial class.
Method signatures and docstrings:
- def get(self, id): Recuperar un programa social
- def put(self, id): Actualizar un programa social
- def delete(self, id): Eliminar un programa social | Implement the Python class `ProgramaSocial` described below.
Class description:
Implement the ProgramaSocial class.
Method signatures and docstrings:
- def get(self, id): Recuperar un programa social
- def put(self, id): Actualizar un programa social
- def delete(self, id): Eliminar un programa social
<|skeleton|>
c... | e00610fac26ef3ca078fd037c0649b70fa0e9a09 | <|skeleton|>
class ProgramaSocial:
def get(self, id):
"""Recuperar un programa social"""
<|body_0|>
def put(self, id):
"""Actualizar un programa social"""
<|body_1|>
def delete(self, id):
"""Eliminar un programa social"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ProgramaSocial:
def get(self, id):
"""Recuperar un programa social"""
try:
verify_token(request.headers)
except Exception as err:
ns.abort(401, message=err)
try:
prog = programas_sociales.read(id)
except psycopg2.Error as err:
... | the_stack_v2_python_sparse | DOS/soa/service/genl/endpoints/programas_sociales.py | Telematica/knight-rider | train | 1 | |
8c7cfa3d87641eb05219100477fa3ddc517a357e | [
"if not head:\n return 0\ngraph = {}\nfor node in G:\n graph[node] = []\nprev = head\ncurr = head.next\nwhile curr:\n if prev.val in graph and curr.val in graph:\n graph[prev.val].append(curr.val)\n graph[curr.val].append(prev.val)\n prev, curr = (curr, curr.next)\n\ndef dfs_from(visited, ... | <|body_start_0|>
if not head:
return 0
graph = {}
for node in G:
graph[node] = []
prev = head
curr = head.next
while curr:
if prev.val in graph and curr.val in graph:
graph[prev.val].append(curr.val)
grap... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def numComponents(self, head: ListNode, G: List[int]) -> int:
"""The crazy solution is to go for a graph"""
<|body_0|>
def numComponents(self, head: ListNode, G: List[int]) -> int:
"""The wise solution is just to check if a node is missing in G"""
<... | stack_v2_sparse_classes_36k_train_011106 | 2,254 | no_license | [
{
"docstring": "The crazy solution is to go for a graph",
"name": "numComponents",
"signature": "def numComponents(self, head: ListNode, G: List[int]) -> int"
},
{
"docstring": "The wise solution is just to check if a node is missing in G",
"name": "numComponents",
"signature": "def numC... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numComponents(self, head: ListNode, G: List[int]) -> int: The crazy solution is to go for a graph
- def numComponents(self, head: ListNode, G: List[int]) -> int: The wise sol... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def numComponents(self, head: ListNode, G: List[int]) -> int: The crazy solution is to go for a graph
- def numComponents(self, head: ListNode, G: List[int]) -> int: The wise sol... | 3ffcfee5cedf421d5de6d0dec4ba53b0eecbbff8 | <|skeleton|>
class Solution:
def numComponents(self, head: ListNode, G: List[int]) -> int:
"""The crazy solution is to go for a graph"""
<|body_0|>
def numComponents(self, head: ListNode, G: List[int]) -> int:
"""The wise solution is just to check if a node is missing in G"""
<... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def numComponents(self, head: ListNode, G: List[int]) -> int:
"""The crazy solution is to go for a graph"""
if not head:
return 0
graph = {}
for node in G:
graph[node] = []
prev = head
curr = head.next
while curr:
... | the_stack_v2_python_sparse | linked/LinkedListComponents.py | QuentinDuval/PythonExperiments | train | 3 | |
752da414c55b3fe8263ed1021c94349cd718e345 | [
"try:\n with db.cursor() as cursor:\n sql = \"\\n SELECT \\n c.id as coupon_id,\\n ct.name as coupon_type,\\n ci.name as coupon_issue,\\n cd.name as coupon_name, \\n cd.discount_price,\\n ... | <|body_start_0|>
try:
with db.cursor() as cursor:
sql = "\n SELECT \n c.id as coupon_id,\n ct.name as coupon_type,\n ci.name as coupon_issue,\n cd.name as coupon_name, \n cd.... | CouponDao | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CouponDao:
def get_coupons(self, db):
"""다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : 초기생성"""
<|body_0|>
def check_downloaded_coupons(self, user_id, c, db):
"""쿠폰 ... | stack_v2_sparse_classes_36k_train_011107 | 6,989 | no_license | [
{
"docstring": "다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : 초기생성",
"name": "get_coupons",
"signature": "def get_coupons(self, db)"
},
{
"docstring": "쿠폰 다운로드 유무 체크 - Persistence Layer(Model) ... | 5 | stack_v2_sparse_classes_30k_train_013296 | Implement the Python class `CouponDao` described below.
Class description:
Implement the CouponDao class.
Method signatures and docstrings:
- def get_coupons(self, db): 다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : ... | Implement the Python class `CouponDao` described below.
Class description:
Implement the CouponDao class.
Method signatures and docstrings:
- def get_coupons(self, db): 다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : ... | a1a799e3643eca088531de6ab5adf5559613efd8 | <|skeleton|>
class CouponDao:
def get_coupons(self, db):
"""다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : 초기생성"""
<|body_0|>
def check_downloaded_coupons(self, user_id, c, db):
"""쿠폰 ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CouponDao:
def get_coupons(self, db):
"""다운로드 가능한 쿠폰조회 - Persistence Layer(Model) function Args : db : 데이터베이스 연결 객체 Returns : 쿠폰리스트 Authors : 1218kim23@gmail.com(김기욱) History : 2020-10-07 : 초기생성"""
try:
with db.cursor() as cursor:
sql = "\n SELECT \n ... | the_stack_v2_python_sparse | service_back/model/coupon_dao.py | taeha7b/Service | train | 0 | |
ba912051ccec2401d9fcb658c84ac4edce1c48d3 | [
"try:\n self.user = User.objects.get(email=attrs['email'])\nexcept User.DoesNotExist:\n raise serializers.ValidationError('Invalid email address')\nreturn attrs",
"new_password = User.objects.make_random_password(length=10)\nself.user.set_password(new_password)\nself.user.save()\nsend_mail('Password reset',... | <|body_start_0|>
try:
self.user = User.objects.get(email=attrs['email'])
except User.DoesNotExist:
raise serializers.ValidationError('Invalid email address')
return attrs
<|end_body_0|>
<|body_start_1|>
new_password = User.objects.make_random_password(length=10)
... | Serializes email and provides method to reset password for user with passed email | ResetPasswordSerializer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ResetPasswordSerializer:
"""Serializes email and provides method to reset password for user with passed email"""
def validate(self, attrs):
"""Checks if user with passed email exists in database"""
<|body_0|>
def reset_password(self):
"""Generate and set new pass... | stack_v2_sparse_classes_36k_train_011108 | 16,387 | no_license | [
{
"docstring": "Checks if user with passed email exists in database",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "Generate and set new password. Send email with new password",
"name": "reset_password",
"signature": "def reset_password(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_008653 | Implement the Python class `ResetPasswordSerializer` described below.
Class description:
Serializes email and provides method to reset password for user with passed email
Method signatures and docstrings:
- def validate(self, attrs): Checks if user with passed email exists in database
- def reset_password(self): Gene... | Implement the Python class `ResetPasswordSerializer` described below.
Class description:
Serializes email and provides method to reset password for user with passed email
Method signatures and docstrings:
- def validate(self, attrs): Checks if user with passed email exists in database
- def reset_password(self): Gene... | 8eee83921563a7410c2d12a396ef93e0a895e0f4 | <|skeleton|>
class ResetPasswordSerializer:
"""Serializes email and provides method to reset password for user with passed email"""
def validate(self, attrs):
"""Checks if user with passed email exists in database"""
<|body_0|>
def reset_password(self):
"""Generate and set new pass... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ResetPasswordSerializer:
"""Serializes email and provides method to reset password for user with passed email"""
def validate(self, attrs):
"""Checks if user with passed email exists in database"""
try:
self.user = User.objects.get(email=attrs['email'])
except User.Doe... | the_stack_v2_python_sparse | citifleet/users/serializers.py | CityFleetApp/backend | train | 0 |
490b8cb3534d501c235da6e93a5d649dbb153400 | [
"resp = req.get_response(self.app, method='HEAD')\nacl = resp.object_acl if req.is_object_request else resp.bucket_acl\nresp = HTTPOk()\nresp.body = tostring(acl.elem())\nreturn resp",
"if req.is_object_request:\n headers = {}\n src_path = '/%s/%s' % (req.container_name, req.object_name)\n headers['X-Cop... | <|body_start_0|>
resp = req.get_response(self.app, method='HEAD')
acl = resp.object_acl if req.is_object_request else resp.bucket_acl
resp = HTTPOk()
resp.body = tostring(acl.elem())
return resp
<|end_body_0|>
<|body_start_1|>
if req.is_object_request:
header... | Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log. | S3AclController | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class S3AclController:
"""Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket acl and GET Object acl."""
<|body_0|>
def PUT(se... | stack_v2_sparse_classes_36k_train_011109 | 2,097 | permissive | [
{
"docstring": "Handles GET Bucket acl and GET Object acl.",
"name": "GET",
"signature": "def GET(self, req)"
},
{
"docstring": "Handles PUT Bucket acl and PUT Object acl.",
"name": "PUT",
"signature": "def PUT(self, req)"
}
] | 2 | stack_v2_sparse_classes_30k_train_012128 | Implement the Python class `S3AclController` described below.
Class description:
Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log.
Method signatures and docstrings:
- def GET(self, req): Handles GET Bucket acl ... | Implement the Python class `S3AclController` described below.
Class description:
Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log.
Method signatures and docstrings:
- def GET(self, req): Handles GET Bucket acl ... | f06e5369579599648cc78e4b556887bc6d978c2b | <|skeleton|>
class S3AclController:
"""Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket acl and GET Object acl."""
<|body_0|>
def PUT(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class S3AclController:
"""Handles the following APIs: * GET Bucket acl * PUT Bucket acl * GET Object acl * PUT Object acl Those APIs are logged as ACL operations in the S3 server log."""
def GET(self, req):
"""Handles GET Bucket acl and GET Object acl."""
resp = req.get_response(self.app, metho... | the_stack_v2_python_sparse | swift/common/middleware/s3api/controllers/s3_acl.py | openstack/swift | train | 2,370 |
48c872e2fbd0632b2be57454b8af44263048dbc8 | [
"status = attrs.get('status')\nnote = attrs.get('note')\nif status == SubmissionReview.REJECTED and (not note):\n raise exceptions.ValidationError({'note': COMMENT_REQUIRED})\nreturn attrs",
"request = self.context.get('request')\nif request:\n validated_data['created_by'] = request.user\nif 'note' in valid... | <|body_start_0|>
status = attrs.get('status')
note = attrs.get('note')
if status == SubmissionReview.REJECTED and (not note):
raise exceptions.ValidationError({'note': COMMENT_REQUIRED})
return attrs
<|end_body_0|>
<|body_start_1|>
request = self.context.get('request... | SubmissionReviewSerializer Class | SubmissionReviewSerializer | [
"BSD-2-Clause",
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SubmissionReviewSerializer:
"""SubmissionReviewSerializer Class"""
def validate(self, attrs):
"""Custom Validate Method for SubmissionReviewSerializer"""
<|body_0|>
def create(self, validated_data):
"""Custom create method for SubmissionReviewSerializer"""
... | stack_v2_sparse_classes_36k_train_011110 | 2,435 | permissive | [
{
"docstring": "Custom Validate Method for SubmissionReviewSerializer",
"name": "validate",
"signature": "def validate(self, attrs)"
},
{
"docstring": "Custom create method for SubmissionReviewSerializer",
"name": "create",
"signature": "def create(self, validated_data)"
},
{
"do... | 3 | null | Implement the Python class `SubmissionReviewSerializer` described below.
Class description:
SubmissionReviewSerializer Class
Method signatures and docstrings:
- def validate(self, attrs): Custom Validate Method for SubmissionReviewSerializer
- def create(self, validated_data): Custom create method for SubmissionRevie... | Implement the Python class `SubmissionReviewSerializer` described below.
Class description:
SubmissionReviewSerializer Class
Method signatures and docstrings:
- def validate(self, attrs): Custom Validate Method for SubmissionReviewSerializer
- def create(self, validated_data): Custom create method for SubmissionRevie... | e5bdec91cb47179172b515bbcb91701262ff3377 | <|skeleton|>
class SubmissionReviewSerializer:
"""SubmissionReviewSerializer Class"""
def validate(self, attrs):
"""Custom Validate Method for SubmissionReviewSerializer"""
<|body_0|>
def create(self, validated_data):
"""Custom create method for SubmissionReviewSerializer"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SubmissionReviewSerializer:
"""SubmissionReviewSerializer Class"""
def validate(self, attrs):
"""Custom Validate Method for SubmissionReviewSerializer"""
status = attrs.get('status')
note = attrs.get('note')
if status == SubmissionReview.REJECTED and (not note):
... | the_stack_v2_python_sparse | onadata/libs/serializers/submission_review_serializer.py | onaio/onadata | train | 177 |
3c88f93df22dfcd613ae198b0733b3e1a3c96890 | [
"self.d = {}\nfor i, elem in enumerate(arr):\n if self.d.has_key(elem):\n self.d[elem].append(i)\n else:\n self.d[elem] = [i]",
"if value not in self.d.keys():\n return 0\nres = 0\nfor ind in self.d[value]:\n if left <= ind <= right:\n res += 1\nreturn res"
] | <|body_start_0|>
self.d = {}
for i, elem in enumerate(arr):
if self.d.has_key(elem):
self.d[elem].append(i)
else:
self.d[elem] = [i]
<|end_body_0|>
<|body_start_1|>
if value not in self.d.keys():
return 0
res = 0
... | RangeFreqQuery | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RangeFreqQuery:
def __init__(self, arr):
""":type arr: List[int]"""
<|body_0|>
def query(self, left, right, value):
""":type left: int :type right: int :type value: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
self.d = {}
... | stack_v2_sparse_classes_36k_train_011111 | 1,037 | no_license | [
{
"docstring": ":type arr: List[int]",
"name": "__init__",
"signature": "def __init__(self, arr)"
},
{
"docstring": ":type left: int :type right: int :type value: int :rtype: int",
"name": "query",
"signature": "def query(self, left, right, value)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010456 | Implement the Python class `RangeFreqQuery` described below.
Class description:
Implement the RangeFreqQuery class.
Method signatures and docstrings:
- def __init__(self, arr): :type arr: List[int]
- def query(self, left, right, value): :type left: int :type right: int :type value: int :rtype: int | Implement the Python class `RangeFreqQuery` described below.
Class description:
Implement the RangeFreqQuery class.
Method signatures and docstrings:
- def __init__(self, arr): :type arr: List[int]
- def query(self, left, right, value): :type left: int :type right: int :type value: int :rtype: int
<|skeleton|>
class... | ee59b82125f100970c842d5e1245287c484d6649 | <|skeleton|>
class RangeFreqQuery:
def __init__(self, arr):
""":type arr: List[int]"""
<|body_0|>
def query(self, left, right, value):
""":type left: int :type right: int :type value: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RangeFreqQuery:
def __init__(self, arr):
""":type arr: List[int]"""
self.d = {}
for i, elem in enumerate(arr):
if self.d.has_key(elem):
self.d[elem].append(i)
else:
self.d[elem] = [i]
def query(self, left, right, value):
... | the_stack_v2_python_sparse | _CodeTopics/LeetCode_contest/weekly/weekly2021/268/TLE--268_3.py | BIAOXYZ/variousCodes | train | 0 | |
e7c01186267cb80bb25b592346df7f6f5918cd11 | [
"treatment_request = json.loads(request.body.decode('utf-8'))\nTreatmentView.validate_treatment_request(treatment_request)\nnew_treatment_info = TreatmentService.treat_patient(treatment_request, id_patient, id_treatment_cycle, request.auth_user['id'])\nreturn JsonResponse(new_treatment_info)",
"pagination_args = ... | <|body_start_0|>
treatment_request = json.loads(request.body.decode('utf-8'))
TreatmentView.validate_treatment_request(treatment_request)
new_treatment_info = TreatmentService.treat_patient(treatment_request, id_patient, id_treatment_cycle, request.auth_user['id'])
return JsonResponse(ne... | All endpoints related to treatment actions | TreatmentView | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TreatmentView:
"""All endpoints related to treatment actions"""
def post(request, id_patient, id_treatment_cycle):
"""Action when calling the endpoint with POST"""
<|body_0|>
def get(request, id_patient, id_treatment_cycle):
"""Action when calling the endpoint wi... | stack_v2_sparse_classes_36k_train_011112 | 9,453 | no_license | [
{
"docstring": "Action when calling the endpoint with POST",
"name": "post",
"signature": "def post(request, id_patient, id_treatment_cycle)"
},
{
"docstring": "Action when calling the endpoint with GET Return list of treatments of treatment cycle :param id_treatment_cycle: :param id_patient: :p... | 3 | null | Implement the Python class `TreatmentView` described below.
Class description:
All endpoints related to treatment actions
Method signatures and docstrings:
- def post(request, id_patient, id_treatment_cycle): Action when calling the endpoint with POST
- def get(request, id_patient, id_treatment_cycle): Action when ca... | Implement the Python class `TreatmentView` described below.
Class description:
All endpoints related to treatment actions
Method signatures and docstrings:
- def post(request, id_patient, id_treatment_cycle): Action when calling the endpoint with POST
- def get(request, id_patient, id_treatment_cycle): Action when ca... | 941e8b2870f8724db3d5103dda5157fd597cfcc7 | <|skeleton|>
class TreatmentView:
"""All endpoints related to treatment actions"""
def post(request, id_patient, id_treatment_cycle):
"""Action when calling the endpoint with POST"""
<|body_0|>
def get(request, id_patient, id_treatment_cycle):
"""Action when calling the endpoint wi... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TreatmentView:
"""All endpoints related to treatment actions"""
def post(request, id_patient, id_treatment_cycle):
"""Action when calling the endpoint with POST"""
treatment_request = json.loads(request.body.decode('utf-8'))
TreatmentView.validate_treatment_request(treatment_reque... | the_stack_v2_python_sparse | backend/martin_helder/views/treatment_view.py | JoaoAlvaroFerreira/FEUP-LGP | train | 1 |
43ff8b0c6ee8708dc99acba83615cf2f6f125781 | [
"self.head = None\nif nodes is not None:\n node = Node(value=nodes.pop(0))\n self.head = node\n for elem in nodes:\n node.next = Node(value=elem)\n node = node.next",
"node = self.head\nnodes = []\nwhile node is not None:\n nodes.append(node.value)\n node = node.next\nnodes.append('No... | <|body_start_0|>
self.head = None
if nodes is not None:
node = Node(value=nodes.pop(0))
self.head = node
for elem in nodes:
node.next = Node(value=elem)
node = node.next
<|end_body_0|>
<|body_start_1|>
node = self.head
... | This is my Class LinkedList with methods __init__ and __insert__ | LinkedList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
<|body_0|>
def __repr__(self):
"""Return an object instance"""
<|body_1|>
def __iter__(self):... | stack_v2_sparse_classes_36k_train_011113 | 2,355 | no_license | [
{
"docstring": "This is my initialize of LinkedList",
"name": "__init__",
"signature": "def __init__(self, nodes=None)"
},
{
"docstring": "Return an object instance",
"name": "__repr__",
"signature": "def __repr__(self)"
},
{
"docstring": "To traverse a linked list",
"name": ... | 3 | stack_v2_sparse_classes_30k_train_014301 | Implement the Python class `LinkedList` described below.
Class description:
This is my Class LinkedList with methods __init__ and __insert__
Method signatures and docstrings:
- def __init__(self, nodes=None): This is my initialize of LinkedList
- def __repr__(self): Return an object instance
- def __iter__(self): To ... | Implement the Python class `LinkedList` described below.
Class description:
This is my Class LinkedList with methods __init__ and __insert__
Method signatures and docstrings:
- def __init__(self, nodes=None): This is my initialize of LinkedList
- def __repr__(self): Return an object instance
- def __iter__(self): To ... | a864173664324769e9de004d387f0ffde45f5cfc | <|skeleton|>
class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
<|body_0|>
def __repr__(self):
"""Return an object instance"""
<|body_1|>
def __iter__(self):... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LinkedList:
"""This is my Class LinkedList with methods __init__ and __insert__"""
def __init__(self, nodes=None):
"""This is my initialize of LinkedList"""
self.head = None
if nodes is not None:
node = Node(value=nodes.pop(0))
self.head = node
... | the_stack_v2_python_sparse | challenges/ll_merge/ll_merge.py | sydoruk89/python-data-structures-and-algorithms | train | 0 |
a1452bb04e99ef839c88685e6a77e3733388b772 | [
"mols = [Chem.MolFromSmiles(s) for s in smiles]\nscores = SmilesChecker.checkSmiles(smiles, frags=frags, no_multifrag_smiles=no_multifrag_smiles)\nfor scorer in self.scorers:\n scores.loc[:, scorer.getKey()] = scorer(mols)\nscores.loc[scores['Valid'] == 0, self.getScorerKeys()] = 0.0\nundesire = scores[self.getS... | <|body_start_0|>
mols = [Chem.MolFromSmiles(s) for s in smiles]
scores = SmilesChecker.checkSmiles(smiles, frags=frags, no_multifrag_smiles=no_multifrag_smiles)
for scorer in self.scorers:
scores.loc[:, scorer.getKey()] = scorer(mols)
scores.loc[scores['Valid'] == 0, self.get... | Original implementation of the environment scoring strategy for DrugEx v3. | DrugExEnvironment | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DrugExEnvironment:
"""Original implementation of the environment scoring strategy for DrugEx v3."""
def getScores(self, smiles, frags=None, no_multifrag_smiles=True):
"""This method is used to get the scores from the scorers and to check molecule validity and desireability. Parameter... | stack_v2_sparse_classes_36k_train_011114 | 2,544 | permissive | [
{
"docstring": "This method is used to get the scores from the scorers and to check molecule validity and desireability. Parameters ---------- smiles : list of str List of SMILES strings to score. frags : list of str, optional List of SMILES strings of fragments to check for. no_multifrag_smiles : bool, optiona... | 2 | null | Implement the Python class `DrugExEnvironment` described below.
Class description:
Original implementation of the environment scoring strategy for DrugEx v3.
Method signatures and docstrings:
- def getScores(self, smiles, frags=None, no_multifrag_smiles=True): This method is used to get the scores from the scorers an... | Implement the Python class `DrugExEnvironment` described below.
Class description:
Original implementation of the environment scoring strategy for DrugEx v3.
Method signatures and docstrings:
- def getScores(self, smiles, frags=None, no_multifrag_smiles=True): This method is used to get the scores from the scorers an... | b61d31a4b98b6d600184e52ca24640d3e64fd425 | <|skeleton|>
class DrugExEnvironment:
"""Original implementation of the environment scoring strategy for DrugEx v3."""
def getScores(self, smiles, frags=None, no_multifrag_smiles=True):
"""This method is used to get the scores from the scorers and to check molecule validity and desireability. Parameter... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DrugExEnvironment:
"""Original implementation of the environment scoring strategy for DrugEx v3."""
def getScores(self, smiles, frags=None, no_multifrag_smiles=True):
"""This method is used to get the scores from the scorers and to check molecule validity and desireability. Parameters ---------- ... | the_stack_v2_python_sparse | drugex/training/environment.py | CDDLeiden/DrugEx | train | 70 |
98db034bcef575d979fd1bcbf9d53896af0819c0 | [
"super().__init__(channel)\nconfig = get_config()\nself.LOGGER = logging.getLogger('fm.device.service.messages')\nself.exchange_name = config.RABBITMQ_MESSAGES_EXCHANGE_NAME\nself.exchange_type = config.RABBITMQ_MESSAGES_EXCHANGE_TYPE\nself.routing_key = '_internal'\nself.setup_exchange(self.exchange_name)",
"pay... | <|body_start_0|>
super().__init__(channel)
config = get_config()
self.LOGGER = logging.getLogger('fm.device.service.messages')
self.exchange_name = config.RABBITMQ_MESSAGES_EXCHANGE_NAME
self.exchange_type = config.RABBITMQ_MESSAGES_EXCHANGE_TYPE
self.routing_key = '_inte... | Receive and respond to internal message requests. | DeviceMessage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeviceMessage:
"""Receive and respond to internal message requests."""
def __init__(self, channel):
"""Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setup_exchange function to start the communication"""
... | stack_v2_sparse_classes_36k_train_011115 | 9,633 | permissive | [
{
"docstring": "Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setup_exchange function to start the communication",
"name": "__init__",
"signature": "def __init__(self, channel)"
},
{
"docstring": "Invoked by pika when a me... | 2 | stack_v2_sparse_classes_30k_train_019369 | Implement the Python class `DeviceMessage` described below.
Class description:
Receive and respond to internal message requests.
Method signatures and docstrings:
- def __init__(self, channel): Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setu... | Implement the Python class `DeviceMessage` described below.
Class description:
Receive and respond to internal message requests.
Method signatures and docstrings:
- def __init__(self, channel): Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setu... | 7d37690a8c42091a5892aa45518bfe6003728a18 | <|skeleton|>
class DeviceMessage:
"""Receive and respond to internal message requests."""
def __init__(self, channel):
"""Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setup_exchange function to start the communication"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeviceMessage:
"""Receive and respond to internal message requests."""
def __init__(self, channel):
"""Override the __init__ method from Message class. Create the logger instance, and set the required config info. Call the setup_exchange function to start the communication"""
super().__in... | the_stack_v2_python_sparse | server/fm_server/device/service.py | nstoik/farm_monitor | train | 0 |
0ba10e5e9838fb4d7ea0f1a90122de5e7a78f3fa | [
"self.a = array_check(a, 1)\nself._n = a.size\nself._s = None\nself._r = None\nself.m = None",
"self.m = int_check(m, 0)\nr, s, s_smoothing = prepare_empty_container_with_same_size((m + 1,), 3)\ndac_ = DelayAuto(self.a)\ndac = np.vectorize(lambda x: dac_(x).statistics)\nr = dac(np.arange(m + 1))\ns[0] = (r[0] + r... | <|body_start_0|>
self.a = array_check(a, 1)
self._n = a.size
self._s = None
self._r = None
self.m = None
<|end_body_0|>
<|body_start_1|>
self.m = int_check(m, 0)
r, s, s_smoothing = prepare_empty_container_with_same_size((m + 1,), 3)
dac_ = DelayAuto(self... | Power sepectrum | PowerSpectrum | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PowerSpectrum:
"""Power sepectrum"""
def __init__(self, a: array_like):
""":param a: array_like 1-D array"""
<|body_0|>
def fit(self, m: int):
"""Fit method :param m: int delay length :return: class self"""
<|body_1|>
def s(self) -> np.ndarray:
... | stack_v2_sparse_classes_36k_train_011116 | 8,729 | no_license | [
{
"docstring": ":param a: array_like 1-D array",
"name": "__init__",
"signature": "def __init__(self, a: array_like)"
},
{
"docstring": "Fit method :param m: int delay length :return: class self",
"name": "fit",
"signature": "def fit(self, m: int)"
},
{
"docstring": "Get statisti... | 5 | null | Implement the Python class `PowerSpectrum` described below.
Class description:
Power sepectrum
Method signatures and docstrings:
- def __init__(self, a: array_like): :param a: array_like 1-D array
- def fit(self, m: int): Fit method :param m: int delay length :return: class self
- def s(self) -> np.ndarray: Get stati... | Implement the Python class `PowerSpectrum` described below.
Class description:
Power sepectrum
Method signatures and docstrings:
- def __init__(self, a: array_like): :param a: array_like 1-D array
- def fit(self, m: int): Fit method :param m: int delay length :return: class self
- def s(self) -> np.ndarray: Get stati... | 1c8d5fbf3676dc81e9f143e93ee2564359519b11 | <|skeleton|>
class PowerSpectrum:
"""Power sepectrum"""
def __init__(self, a: array_like):
""":param a: array_like 1-D array"""
<|body_0|>
def fit(self, m: int):
"""Fit method :param m: int delay length :return: class self"""
<|body_1|>
def s(self) -> np.ndarray:
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PowerSpectrum:
"""Power sepectrum"""
def __init__(self, a: array_like):
""":param a: array_like 1-D array"""
self.a = array_check(a, 1)
self._n = a.size
self._s = None
self._r = None
self.m = None
def fit(self, m: int):
"""Fit method :param m: ... | the_stack_v2_python_sparse | statistics/cycle.py | qliu0/PythonInAirSeaScience | train | 0 |
41d0a4eeef47b8a2478b32980f723c1eab1456b0 | [
"request_dict = rest_utils.get_json_and_verify_params({'tenant_name': {'type': unicode}, 'username': {'type': unicode}, 'role': {'type': unicode}})\nrest_utils.validate_inputs(request_dict)\nrole_name = request_dict.get('role')\nif role_name:\n rest_utils.verify_role(role_name)\nelse:\n role_name = constants.... | <|body_start_0|>
request_dict = rest_utils.get_json_and_verify_params({'tenant_name': {'type': unicode}, 'username': {'type': unicode}, 'role': {'type': unicode}})
rest_utils.validate_inputs(request_dict)
role_name = request_dict.get('role')
if role_name:
rest_utils.verify_ro... | TenantUsers | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TenantUsers:
def put(self, multi_tenancy):
"""Add a user to a tenant"""
<|body_0|>
def patch(self, multi_tenancy):
"""Update role in user tenant association."""
<|body_1|>
def delete(self, multi_tenancy):
"""Remove a user from a tenant"""
... | stack_v2_sparse_classes_36k_train_011117 | 9,658 | permissive | [
{
"docstring": "Add a user to a tenant",
"name": "put",
"signature": "def put(self, multi_tenancy)"
},
{
"docstring": "Update role in user tenant association.",
"name": "patch",
"signature": "def patch(self, multi_tenancy)"
},
{
"docstring": "Remove a user from a tenant",
"na... | 3 | stack_v2_sparse_classes_30k_train_006409 | Implement the Python class `TenantUsers` described below.
Class description:
Implement the TenantUsers class.
Method signatures and docstrings:
- def put(self, multi_tenancy): Add a user to a tenant
- def patch(self, multi_tenancy): Update role in user tenant association.
- def delete(self, multi_tenancy): Remove a u... | Implement the Python class `TenantUsers` described below.
Class description:
Implement the TenantUsers class.
Method signatures and docstrings:
- def put(self, multi_tenancy): Add a user to a tenant
- def patch(self, multi_tenancy): Update role in user tenant association.
- def delete(self, multi_tenancy): Remove a u... | 760affb83facbe154c35c6ce20acb9432daa8bbd | <|skeleton|>
class TenantUsers:
def put(self, multi_tenancy):
"""Add a user to a tenant"""
<|body_0|>
def patch(self, multi_tenancy):
"""Update role in user tenant association."""
<|body_1|>
def delete(self, multi_tenancy):
"""Remove a user from a tenant"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TenantUsers:
def put(self, multi_tenancy):
"""Add a user to a tenant"""
request_dict = rest_utils.get_json_and_verify_params({'tenant_name': {'type': unicode}, 'username': {'type': unicode}, 'role': {'type': unicode}})
rest_utils.validate_inputs(request_dict)
role_name = reques... | the_stack_v2_python_sparse | rest-service/manager_rest/rest/resources_v3/tenants.py | Metaswitch/cloudify-manager | train | 0 | |
a4646da9f864ad16d92c13259e4cba52041ca990 | [
"folder_path = os.path.abspath(raw_folder)\ndata = dict()\nfiles = os.listdir(folder_path)\nfor file in files:\n if is_ignored(file):\n continue\n try:\n file = os.path.join(raw_folder, file)\n datum = cls.process_file(file)\n except FileNotCompatible:\n continue\n _, kwrd = ... | <|body_start_0|>
folder_path = os.path.abspath(raw_folder)
data = dict()
files = os.listdir(folder_path)
for file in files:
if is_ignored(file):
continue
try:
file = os.path.join(raw_folder, file)
datum = cls.process... | SpectreParser | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectreParser:
def parse(cls, raw_folder: str) -> Dict[str, Any]:
"""parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionary representing all the simulation data that has been saved."""
<|body_0|>
def process_fil... | stack_v2_sparse_classes_36k_train_011118 | 2,408 | permissive | [
{
"docstring": "parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionary representing all the simulation data that has been saved.",
"name": "parse",
"signature": "def parse(cls, raw_folder: str) -> Dict[str, Any]"
},
{
"docstring": "... | 2 | stack_v2_sparse_classes_30k_train_008570 | Implement the Python class `SpectreParser` described below.
Class description:
Implement the SpectreParser class.
Method signatures and docstrings:
- def parse(cls, raw_folder: str) -> Dict[str, Any]: parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionar... | Implement the Python class `SpectreParser` described below.
Class description:
Implement the SpectreParser class.
Method signatures and docstrings:
- def parse(cls, raw_folder: str) -> Dict[str, Any]: parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionar... | 2ce6da8665d944bab8508a83bc4d3d07fd5afb35 | <|skeleton|>
class SpectreParser:
def parse(cls, raw_folder: str) -> Dict[str, Any]:
"""parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionary representing all the simulation data that has been saved."""
<|body_0|>
def process_fil... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpectreParser:
def parse(cls, raw_folder: str) -> Dict[str, Any]:
"""parses the spectre data in the raw folder :param raw_folder: absolute path to the spectre raw data :return: dictionary representing all the simulation data that has been saved."""
folder_path = os.path.abspath(raw_folder)
... | the_stack_v2_python_sparse | eval_engines/spectre/parser.py | kouroshHakha/bag_deep_ckt | train | 19 | |
edd85c517a28e0d07098960a989d08a439a70eaf | [
"def preorder(node: TreeNode) -> str:\n if not node:\n return ''\n return ','.join([str(node.val), preorder(node.left), preorder(node.right)])\nreturn preorder(root)",
"arr = data.split(',')\narr.reverse()\n\ndef build(arr) -> TreeNode:\n val = arr.pop()\n if val == '':\n return None\n ... | <|body_start_0|>
def preorder(node: TreeNode) -> str:
if not node:
return ''
return ','.join([str(node.val), preorder(node.left), preorder(node.right)])
return preorder(root)
<|end_body_0|>
<|body_start_1|>
arr = data.split(',')
arr.reverse()
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
def preorder(n... | stack_v2_sparse_classes_36k_train_011119 | 1,297 | no_license | [
{
"docstring": "Encodes a tree to a single string.",
"name": "serialize",
"signature": "def serialize(self, root: TreeNode) -> str"
},
{
"docstring": "Decodes your encoded data to tree.",
"name": "deserialize",
"signature": "def deserialize(self, data: str) -> TreeNode"
}
] | 2 | stack_v2_sparse_classes_30k_train_019579 | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree. | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def serialize(self, root: TreeNode) -> str: Encodes a tree to a single string.
- def deserialize(self, data: str) -> TreeNode: Decodes your encoded data to tree.
<|skeleton|>
class Co... | 64fd7baf3543a7a32ebcbaadb39c11fcc152bf4c | <|skeleton|>
class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
<|body_0|>
def deserialize(self, data: str) -> TreeNode:
"""Decodes your encoded data to tree."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def serialize(self, root: TreeNode) -> str:
"""Encodes a tree to a single string."""
def preorder(node: TreeNode) -> str:
if not node:
return ''
return ','.join([str(node.val), preorder(node.left), preorder(node.right)])
return preorder(ro... | the_stack_v2_python_sparse | daily/20201009-serialize-bst.py | kapppa-joe/leetcode-practice | train | 0 | |
6aa8dafabca703a1b59028c5adbe8f4934756575 | [
"self.name = name\nself.tags = tags\nself.lat = lat\nself.lng = lng\nself.address = address\nself.notes = notes\nself.move_map_marker = move_map_marker\nself.switch_profile_id = switch_profile_id\nself.floor_plan_id = floor_plan_id",
"if dictionary is None:\n return None\nname = dictionary.get('name')\ntags = ... | <|body_start_0|>
self.name = name
self.tags = tags
self.lat = lat
self.lng = lng
self.address = address
self.notes = notes
self.move_map_marker = move_map_marker
self.switch_profile_id = switch_profile_id
self.floor_plan_id = floor_plan_id
<|end_bo... | Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The longitude of a device address (string): The address of a device notes (string): The notes for t... | UpdateNetworkDeviceModel | [
"MIT",
"Python-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UpdateNetworkDeviceModel:
"""Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The longitude of a device address (string): The... | stack_v2_sparse_classes_36k_train_011120 | 3,873 | permissive | [
{
"docstring": "Constructor for the UpdateNetworkDeviceModel class",
"name": "__init__",
"signature": "def __init__(self, name=None, tags=None, lat=None, lng=None, address=None, notes=None, move_map_marker=None, switch_profile_id=None, floor_plan_id=None)"
},
{
"docstring": "Creates an instance ... | 2 | null | Implement the Python class `UpdateNetworkDeviceModel` described below.
Class description:
Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The long... | Implement the Python class `UpdateNetworkDeviceModel` described below.
Class description:
Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The long... | 9894089eb013318243ae48869cc5130eb37f80c0 | <|skeleton|>
class UpdateNetworkDeviceModel:
"""Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The longitude of a device address (string): The... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UpdateNetworkDeviceModel:
"""Implementation of the 'updateNetworkDevice' model. TODO: type model description here. Attributes: name (string): The name of a device tags (string): The tags of a device lat (float): The latitude of a device lng (float): The longitude of a device address (string): The address of a... | the_stack_v2_python_sparse | meraki_sdk/models/update_network_device_model.py | RaulCatalano/meraki-python-sdk | train | 1 |
be44dd07365bc7b545def11d9cc4288f6a0eef02 | [
"self.messages = messages\nself.source_permissions = permissions\nself.testable_permissions_map = {}\nif permissions:\n for permission in GetTestablePermissions(iam_client, messages, resource):\n self.testable_permissions_map[permission.name] = permission",
"testing_permissions = []\nfor permission in s... | <|body_start_0|>
self.messages = messages
self.source_permissions = permissions
self.testable_permissions_map = {}
if permissions:
for permission in GetTestablePermissions(iam_client, messages, resource):
self.testable_permissions_map[permission.name] = permis... | Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permission message provided by the API. | PermissionsHelper | [
"LicenseRef-scancode-unknown-license-reference",
"Apache-2.0",
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PermissionsHelper:
"""Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permission message provided by the API."""
... | stack_v2_sparse_classes_36k_train_011121 | 5,171 | permissive | [
{
"docstring": "Create a PermissionsHelper object. To get the testable permissions for the given resource and store as a dict. Args: iam_client: The iam client. messages: The iam messages. resource: Resource reference for the project/organization whose permissions are being inspected. permissions: A list of per... | 6 | stack_v2_sparse_classes_30k_train_013933 | Implement the Python class `PermissionsHelper` described below.
Class description:
Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permi... | Implement the Python class `PermissionsHelper` described below.
Class description:
Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permi... | 85bb264e273568b5a0408f733b403c56373e2508 | <|skeleton|>
class PermissionsHelper:
"""Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permission message provided by the API."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PermissionsHelper:
"""Get different kinds of permissions list from permissions provided. Attributes: messages: The iam messages. source_permissions: A list of permissions to inspect. testable_permissions_map: A dict maps from permissions name string to Permission message provided by the API."""
def __ini... | the_stack_v2_python_sparse | google-cloud-sdk/lib/googlecloudsdk/api_lib/iam/util.py | bopopescu/socialliteapp | train | 0 |
b1ce38513fa29a3f798ad2eb817977500f41db31 | [
"input_should_stop = abs(x_delta) <= abs(x_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE and abs(y_delta) <= abs(y_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE\noutput_should_stop = abs(f_delta) <= abs(f_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE\nreturn input_should_stop or out... | <|body_start_0|>
input_should_stop = abs(x_delta) <= abs(x_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE and abs(y_delta) <= abs(y_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE
output_should_stop = abs(f_delta) <= abs(f_delta) / 2 * cls.EPSILON_RELATIVE + cls.EPSILON_ABSOLUTE
... | Optimizer2D | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Optimizer2D:
def should_stop(cls, x_delta, y_delta, f_delta):
"""Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delta: :param y_delta: :param f_delta: :return:"""
<|body_0|>
def coordinate_descent(cls, f... | stack_v2_sparse_classes_36k_train_011122 | 3,099 | no_license | [
{
"docstring": "Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delta: :param y_delta: :param f_delta: :return:",
"name": "should_stop",
"signature": "def should_stop(cls, x_delta, y_delta, f_delta)"
},
{
"docstring": "Coordi... | 2 | stack_v2_sparse_classes_30k_train_020530 | Implement the Python class `Optimizer2D` described below.
Class description:
Implement the Optimizer2D class.
Method signatures and docstrings:
- def should_stop(cls, x_delta, y_delta, f_delta): Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delt... | Implement the Python class `Optimizer2D` described below.
Class description:
Implement the Optimizer2D class.
Method signatures and docstrings:
- def should_stop(cls, x_delta, y_delta, f_delta): Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delt... | 5917aa6c2fb9921c66f8da89058ed8386e9f6718 | <|skeleton|>
class Optimizer2D:
def should_stop(cls, x_delta, y_delta, f_delta):
"""Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delta: :param y_delta: :param f_delta: :return:"""
<|body_0|>
def coordinate_descent(cls, f... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Optimizer2D:
def should_stop(cls, x_delta, y_delta, f_delta):
"""Stopping criteria for 2D optimizer. Check delta for input and output and compare to relative machine epsilon. :param x_delta: :param y_delta: :param f_delta: :return:"""
input_should_stop = abs(x_delta) <= abs(x_delta) / 2 * cls.... | the_stack_v2_python_sparse | HW1/optimizer_2d.py | matt-dees/optimization-algs | train | 0 | |
e96c5fba21e437a9560b722118a7598cee8844b6 | [
"self.kinds = []\ninvalid_kinds = []\nfor kind in kinds:\n if self.validate_kind(kind):\n self.kinds.append(kind)\n elif len(kind) == 2:\n invalid_kinds.append('{}: {}'.format(kind[0], kind[1]))\n else:\n invalid_kinds.append(str(kind))\nif len(invalid_kinds) > 0:\n raise ValueError... | <|body_start_0|>
self.kinds = []
invalid_kinds = []
for kind in kinds:
if self.validate_kind(kind):
self.kinds.append(kind)
elif len(kind) == 2:
invalid_kinds.append('{}: {}'.format(kind[0], kind[1]))
else:
inval... | For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will be a list of dicts. Each dict will have these keys: 'object': A Django object of ... | RecentObjects | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RecentObjects:
"""For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will be a list of dicts. Each dict will have ... | stack_v2_sparse_classes_36k_train_011123 | 6,769 | no_license | [
{
"docstring": "Adds the supplied list of kinds to self.kinds kinds is like: ( ('blog_posts', 'writing'), # A Blog slug ('flickr_photos', '35034346050@N01'), # A Flickr Account User's NSID ('pinboard_bookmarks', 'philgyford'), # A Pinboard Account's username )",
"name": "__init__",
"signature": "def __i... | 6 | stack_v2_sparse_classes_30k_train_015420 | Implement the Python class `RecentObjects` described below.
Class description:
For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will b... | Implement the Python class `RecentObjects` described below.
Class description:
For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will b... | af5ab91deae688ba67d1561cee31359b67b0d582 | <|skeleton|>
class RecentObjects:
"""For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will be a list of dicts. Each dict will have ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RecentObjects:
"""For getting a list of the most recently posted objects across various apps. Use like: kinds = (('blog_posts', 'writing'),) objects = RecentObjects(kinds).get_objects(num=5) See __init__() for the valid `kinds`. The returned `objects` will be a list of dicts. Each dict will have these keys: '... | the_stack_v2_python_sparse | hines/core/recent.py | philgyford/django-hines | train | 14 |
64cb4e793ca61ce19118f676967e3e30ff39517e | [
"if not dir:\n self.dir = '.'\nself.dir = str(dir)",
"logging.debug('Dir : ' + str(self.dir))\nlogging.debug('asset : ' + str(asset))\nlogging.debug('asset : ' + str(asset))\nif retain_dam_path:\n full_path = self.dir + asset\n dir_path = os.path.dirname(full_path)\nelse:\n full_path = self.dir + '/' ... | <|body_start_0|>
if not dir:
self.dir = '.'
self.dir = str(dir)
<|end_body_0|>
<|body_start_1|>
logging.debug('Dir : ' + str(self.dir))
logging.debug('asset : ' + str(asset))
logging.debug('asset : ' + str(asset))
if retain_dam_path:
full_path = s... | Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed | Env | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Env:
"""Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed"""
def __init__(self, dir):
"""Initialize an Env instance with a directory"""
<|body_0|>
def _ensure(self, asset, ret... | stack_v2_sparse_classes_36k_train_011124 | 2,576 | permissive | [
{
"docstring": "Initialize an Env instance with a directory",
"name": "__init__",
"signature": "def __init__(self, dir)"
},
{
"docstring": "Checks and creates the folders needed under the env directory to store an asset and returns the full path reference for an asset",
"name": "_ensure",
... | 6 | stack_v2_sparse_classes_30k_train_001620 | Implement the Python class `Env` described below.
Class description:
Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed
Method signatures and docstrings:
- def __init__(self, dir): Initialize an Env instance with a director... | Implement the Python class `Env` described below.
Class description:
Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed
Method signatures and docstrings:
- def __init__(self, dir): Initialize an Env instance with a director... | 432d802f62da95eaa630cae651dabba56d50029c | <|skeleton|>
class Env:
"""Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed"""
def __init__(self, dir):
"""Initialize an Env instance with a directory"""
<|body_0|>
def _ensure(self, asset, ret... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Env:
"""Provides a handle to work with the local file system Initialized with a directory which is the base under which reads and writes can be performed"""
def __init__(self, dir):
"""Initialize an Env instance with a directory"""
if not dir:
self.dir = '.'
self.dir =... | the_stack_v2_python_sparse | dampy/lib/Env.py | moonraker46/dampy | train | 0 |
1f08d7d6956a1e5f6d69b1ef2ed632cb97bae6f0 | [
"if char:\n char = _ReconUtils._to_ord(char)\n return ord('A') <= char <= ord('Z') or char == ord('_') or ord('a') <= char <= ord('z')\nelse:\n return False",
"if char:\n char = _ReconUtils._to_ord(char)\n return char == ord('-') or _ReconUtils._is_digit(char) or _ReconUtils._is_ident_start_char(ch... | <|body_start_0|>
if char:
char = _ReconUtils._to_ord(char)
return ord('A') <= char <= ord('Z') or char == ord('_') or ord('a') <= char <= ord('z')
else:
return False
<|end_body_0|>
<|body_start_1|>
if char:
char = _ReconUtils._to_ord(char)
... | _ReconUtils | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class _ReconUtils:
def _is_ident_start_char(char: Union[str, int]) -> bool:
"""Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_] :param char: - Character to check. :return: - True if the character is valid, False otherwise."""
... | stack_v2_sparse_classes_36k_train_011125 | 7,203 | permissive | [
{
"docstring": "Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_] :param char: - Character to check. :return: - True if the character is valid, False otherwise.",
"name": "_is_ident_start_char",
"signature": "def _is_ident_start_char(char... | 6 | stack_v2_sparse_classes_30k_train_005385 | Implement the Python class `_ReconUtils` described below.
Class description:
Implement the _ReconUtils class.
Method signatures and docstrings:
- def _is_ident_start_char(char: Union[str, int]) -> bool: Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_]... | Implement the Python class `_ReconUtils` described below.
Class description:
Implement the _ReconUtils class.
Method signatures and docstrings:
- def _is_ident_start_char(char: Union[str, int]) -> bool: Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_]... | 727c09b6e7300b063e320364373ff724d9b8af90 | <|skeleton|>
class _ReconUtils:
def _is_ident_start_char(char: Union[str, int]) -> bool:
"""Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_] :param char: - Character to check. :return: - True if the character is valid, False otherwise."""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class _ReconUtils:
def _is_ident_start_char(char: Union[str, int]) -> bool:
"""Check if a character is a valid first character of an identifier. Valid start characters for identifiers: [A-Za-z_] :param char: - Character to check. :return: - True if the character is valid, False otherwise."""
if char... | the_stack_v2_python_sparse | swimai/recon/_utils.py | knut0815/swim-system-python | train | 0 | |
7fac0b9d8ff0b4d25baa015863f3c2e097c7c05d | [
"if n < 2:\n return 0\nif n == 2:\n return 1\nif n == 3:\n return 2\nproducts = [0] * (n + 1)\nproducts[0] = 0\nproducts[1] = 1\nproducts[2] = 2\nproducts[3] = 3\nfor i in range(4, n + 1):\n max = 0\n for j in range(1, int(i / 2) + 1):\n product = products[j] * products[i - j]\n if max ... | <|body_start_0|>
if n < 2:
return 0
if n == 2:
return 1
if n == 3:
return 2
products = [0] * (n + 1)
products[0] = 0
products[1] = 1
products[2] = 2
products[3] = 3
for i in range(4, n + 1):
max = 0
... | Solution | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def cuttingRope_1(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def cuttingRope(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if n < 2:
return 0
if n == 2:
retur... | stack_v2_sparse_classes_36k_train_011126 | 1,441 | permissive | [
{
"docstring": ":type n: int :rtype: int",
"name": "cuttingRope_1",
"signature": "def cuttingRope_1(self, n)"
},
{
"docstring": ":type n: int :rtype: int",
"name": "cuttingRope",
"signature": "def cuttingRope(self, n)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cuttingRope_1(self, n): :type n: int :rtype: int
- def cuttingRope(self, n): :type n: int :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def cuttingRope_1(self, n): :type n: int :rtype: int
- def cuttingRope(self, n): :type n: int :rtype: int
<|skeleton|>
class Solution:
def cuttingRope_1(self, n):
"... | 4a6d46c179d7f52054c417b2aa21708331ac84c5 | <|skeleton|>
class Solution:
def cuttingRope_1(self, n):
""":type n: int :rtype: int"""
<|body_0|>
def cuttingRope(self, n):
""":type n: int :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def cuttingRope_1(self, n):
""":type n: int :rtype: int"""
if n < 2:
return 0
if n == 2:
return 1
if n == 3:
return 2
products = [0] * (n + 1)
products[0] = 0
products[1] = 1
products[2] = 2
p... | the_stack_v2_python_sparse | problems/动态规划/343. 整数拆分/integer-break.py | HannibalXZX/LeetCode | train | 1 | |
881b990daf1d7e913a1d67e1001b3b861dfa706e | [
"self.num_points = num_points\nself.x_values = [0]\nself.y_values = [0]",
"while len(self.x_values) < self.num_points:\n x_direction = choice([1, -1])\n x_distance = choice([0, 1, 2, 3, 4])\n x_step = x_direction * x_distance\n y_direction = choice([1, -1])\n y_distance = choice([0, 1, 2, 3, 4])\n ... | <|body_start_0|>
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
<|end_body_0|>
<|body_start_1|>
while len(self.x_values) < self.num_points:
x_direction = choice([1, -1])
x_distance = choice([0, 1, 2, 3, 4])
x_step = x_direction *... | a class which generate random walking data | RandomWalk | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
<|body_0|>
def fill_walk(self):
"""calculate all points belong to random walking"""
<|body_1|>
<|end_skeleton|>
... | stack_v2_sparse_classes_36k_train_011127 | 1,083 | no_license | [
{
"docstring": "initial the attribute of random walking",
"name": "__init__",
"signature": "def __init__(self, num_points=20)"
},
{
"docstring": "calculate all points belong to random walking",
"name": "fill_walk",
"signature": "def fill_walk(self)"
}
] | 2 | null | Implement the Python class `RandomWalk` described below.
Class description:
a class which generate random walking data
Method signatures and docstrings:
- def __init__(self, num_points=20): initial the attribute of random walking
- def fill_walk(self): calculate all points belong to random walking | Implement the Python class `RandomWalk` described below.
Class description:
a class which generate random walking data
Method signatures and docstrings:
- def __init__(self, num_points=20): initial the attribute of random walking
- def fill_walk(self): calculate all points belong to random walking
<|skeleton|>
class... | 9134f5d3525a48811893790303b1b5eabc29fd50 | <|skeleton|>
class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
<|body_0|>
def fill_walk(self):
"""calculate all points belong to random walking"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomWalk:
"""a class which generate random walking data"""
def __init__(self, num_points=20):
"""initial the attribute of random walking"""
self.num_points = num_points
self.x_values = [0]
self.y_values = [0]
def fill_walk(self):
"""calculate all points belo... | the_stack_v2_python_sparse | random_walk.py | douzhenjun/python_work | train | 1 |
86bc777c79b3ee0fde7d8c7933348dc4517bdd0b | [
"length = len(haystack)\nk = 0\nwhile k < length:\n j = 0\n i = k\n while i < length and j < len(needle) and (haystack[i] == needle[j]):\n j += 1\n i += 1\n if j == len(needle):\n return i - len(needle)\n k += 1\nreturn -1",
"try:\n return haystack.index(needle)\nexcept Valu... | <|body_start_0|>
length = len(haystack)
k = 0
while k < length:
j = 0
i = k
while i < length and j < len(needle) and (haystack[i] == needle[j]):
j += 1
i += 1
if j == len(needle):
return i - len(needl... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def strStr(self, haystack, needle):
""":type haystack: str :type needle: str :rtype: int"""
<|body_0|>
def strStrv1(self, haystack, needle):
""":type haystack: str :type needle: str :rtype: int"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
... | stack_v2_sparse_classes_36k_train_011128 | 935 | no_license | [
{
"docstring": ":type haystack: str :type needle: str :rtype: int",
"name": "strStr",
"signature": "def strStr(self, haystack, needle)"
},
{
"docstring": ":type haystack: str :type needle: str :rtype: int",
"name": "strStrv1",
"signature": "def strStrv1(self, haystack, needle)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def strStr(self, haystack, needle): :type haystack: str :type needle: str :rtype: int
- def strStrv1(self, haystack, needle): :type haystack: str :type needle: str :rtype: int | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def strStr(self, haystack, needle): :type haystack: str :type needle: str :rtype: int
- def strStrv1(self, haystack, needle): :type haystack: str :type needle: str :rtype: int
<... | 328408860fcf6bffbbd2096b4c7182d8abb2ea66 | <|skeleton|>
class Solution:
def strStr(self, haystack, needle):
""":type haystack: str :type needle: str :rtype: int"""
<|body_0|>
def strStrv1(self, haystack, needle):
""":type haystack: str :type needle: str :rtype: int"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def strStr(self, haystack, needle):
""":type haystack: str :type needle: str :rtype: int"""
length = len(haystack)
k = 0
while k < length:
j = 0
i = k
while i < length and j < len(needle) and (haystack[i] == needle[j]):
... | the_stack_v2_python_sparse | lcode1-99/ex81/strStr.py | rh01/gofiles | train | 0 | |
f9b2cb35c8ca6c8d72637448951ca72c4c986618 | [
"if not height:\n return 0\nlength = len(height)\nmax_left = [0] * length\nmax_right = [0] * length\nans = 0\nmax_left[0] = height[0]\nmax_right[length - 1] = height[length - 1]\nfor i in range(1, length):\n max_left[i] = max(height[i], max_left[i - 1])\nfor j in range(length - 2, -1, -1):\n max_right[j] =... | <|body_start_0|>
if not height:
return 0
length = len(height)
max_left = [0] * length
max_right = [0] * length
ans = 0
max_left[0] = height[0]
max_right[length - 1] = height[length - 1]
for i in range(1, length):
max_left[i] = max(h... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def trap(cls, height: List[int]) -> int:
"""动态规划O(N), O(N)"""
<|body_0|>
def trap_v2(cls, height: List[int]) -> int:
"""双指针O(N), O(1)"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not height:
return 0
length = len(... | stack_v2_sparse_classes_36k_train_011129 | 1,911 | no_license | [
{
"docstring": "动态规划O(N), O(N)",
"name": "trap",
"signature": "def trap(cls, height: List[int]) -> int"
},
{
"docstring": "双指针O(N), O(1)",
"name": "trap_v2",
"signature": "def trap_v2(cls, height: List[int]) -> int"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(cls, height: List[int]) -> int: 动态规划O(N), O(N)
- def trap_v2(cls, height: List[int]) -> int: 双指针O(N), O(1) | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def trap(cls, height: List[int]) -> int: 动态规划O(N), O(N)
- def trap_v2(cls, height: List[int]) -> int: 双指针O(N), O(1)
<|skeleton|>
class Solution:
def trap(cls, height: List[... | 1d1876620a55ff88af7bc390cf1a4fd4350d8d16 | <|skeleton|>
class Solution:
def trap(cls, height: List[int]) -> int:
"""动态规划O(N), O(N)"""
<|body_0|>
def trap_v2(cls, height: List[int]) -> int:
"""双指针O(N), O(1)"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def trap(cls, height: List[int]) -> int:
"""动态规划O(N), O(N)"""
if not height:
return 0
length = len(height)
max_left = [0] * length
max_right = [0] * length
ans = 0
max_left[0] = height[0]
max_right[length - 1] = height[lengt... | the_stack_v2_python_sparse | 01-数据结构/数组/042.接雨水(H).py | jh-lau/leetcode_in_python | train | 0 | |
9b4bf71db2e52b0be0a35d89d62c3370082ef68e | [
"super().__init__()\nself.modelName = None\nself.roiFluxMinimum = 2000\nself.roiExposureTime = 8000\nself.fullExposureTime = 8000\nself.cameraIndex = 0",
"self.modelName = config['modelName']\nself.roiFluxMinimum = config['roi']['fluxMin']\nself.roiExposureTime = config['roi']['exposureTime']\nself.fullExposureTi... | <|body_start_0|>
super().__init__()
self.modelName = None
self.roiFluxMinimum = 2000
self.roiExposureTime = 8000
self.fullExposureTime = 8000
self.cameraIndex = 0
<|end_body_0|>
<|body_start_1|>
self.modelName = config['modelName']
self.roiFluxMinimum = c... | Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. modelName : str A description of the camera model. roiExposureTime : int The exposure ... | VimbaCameraConfig | [
"Python-2.0",
"BSD-3-Clause",
"LicenseRef-scancode-free-unknown"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class VimbaCameraConfig:
"""Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. modelName : str A description of the came... | stack_v2_sparse_classes_36k_train_011130 | 2,404 | permissive | [
{
"docstring": "Initialize the class.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Translate config to class attributes. Parameters ---------- config : dict The configuration to translate.",
"name": "fromDict",
"signature": "def fromDict(self, config)"
},
... | 3 | null | Implement the Python class `VimbaCameraConfig` described below.
Class description:
Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. mo... | Implement the Python class `VimbaCameraConfig` described below.
Class description:
Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. mo... | 3d0242276198126240667ba13e95b7bdf901d053 | <|skeleton|>
class VimbaCameraConfig:
"""Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. modelName : str A description of the came... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class VimbaCameraConfig:
"""Class that handles the configuration of the Vimba class cameras. Attributes ---------- cameraIndex : int The current index of the camera if multiple present. fullExposureTime : int The exposure time (microseconds) in full frame mode. modelName : str A description of the camera model. roi... | the_stack_v2_python_sparse | spot_motion_monitor/config/vimba_camera_config.py | lsst-sitcom/spot_motion_monitor | train | 0 |
8bb4e1d84e0e241613078f499335823acb52ddd4 | [
"if _data is None:\n _data = b'None'\nself._mint(self.msg.sender, _amount, _data)",
"if _data is None:\n _data = b'None'\nself._mint(_account, _amount, _data)"
] | <|body_start_0|>
if _data is None:
_data = b'None'
self._mint(self.msg.sender, _amount, _data)
<|end_body_0|>
<|body_start_1|>
if _data is None:
_data = b'None'
self._mint(_account, _amount, _data)
<|end_body_1|>
| Implementation of IRC2Mintable | IRC2Mintable | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IRC2Mintable:
"""Implementation of IRC2Mintable"""
def mint(self, _amount: int, _data: bytes=None) -> None:
"""Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total supply. See {IRC2-_mint} :param _amount: Number of tokens ... | stack_v2_sparse_classes_36k_train_011131 | 986 | permissive | [
{
"docstring": "Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total supply. See {IRC2-_mint} :param _amount: Number of tokens to be created at the account. :param _data:",
"name": "mint",
"signature": "def mint(self, _amount: int, _data: byt... | 2 | stack_v2_sparse_classes_30k_train_015136 | Implement the Python class `IRC2Mintable` described below.
Class description:
Implementation of IRC2Mintable
Method signatures and docstrings:
- def mint(self, _amount: int, _data: bytes=None) -> None: Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total s... | Implement the Python class `IRC2Mintable` described below.
Class description:
Implementation of IRC2Mintable
Method signatures and docstrings:
- def mint(self, _amount: int, _data: bytes=None) -> None: Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total s... | cd185fa831de18b4d9c634689a3c6e7b559bbabe | <|skeleton|>
class IRC2Mintable:
"""Implementation of IRC2Mintable"""
def mint(self, _amount: int, _data: bytes=None) -> None:
"""Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total supply. See {IRC2-_mint} :param _amount: Number of tokens ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IRC2Mintable:
"""Implementation of IRC2Mintable"""
def mint(self, _amount: int, _data: bytes=None) -> None:
"""Creates `_amount` number of tokens, and assigns to caller account. Increases the balance of that account and total supply. See {IRC2-_mint} :param _amount: Number of tokens to be created... | the_stack_v2_python_sparse | token_contracts/bnDOGE/tokens/IRC2mintable.py | subba72/balanced-contracts | train | 0 |
3ffe07fed3c3793cbb338bff726b083c6d682555 | [
"self.day = day\nself.end_time = end_time\nself.start_time = start_time",
"if dictionary is None:\n return None\nday = dictionary.get('day')\nend_time = cohesity_management_sdk.models.time.Time.from_dictionary(dictionary.get('endTime')) if dictionary.get('endTime') else None\nstart_time = cohesity_management_s... | <|body_start_0|>
self.day = day
self.end_time = end_time
self.start_time = start_time
<|end_body_0|>
<|body_start_1|>
if dictionary is None:
return None
day = dictionary.get('day')
end_time = cohesity_management_sdk.models.time.Time.from_dictionary(dictionary... | Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range applies to all days. end_time (Time): End time of the time range. start_time (Time): Start time of the ... | BackupJobProto_ExclusionTimeRange | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BackupJobProto_ExclusionTimeRange:
"""Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range applies to all days. end_time (Time): End ... | stack_v2_sparse_classes_36k_train_011132 | 2,089 | permissive | [
{
"docstring": "Constructor for the BackupJobProto_ExclusionTimeRange class",
"name": "__init__",
"signature": "def __init__(self, day=None, end_time=None, start_time=None)"
},
{
"docstring": "Creates an instance of this model from a dictionary Args: dictionary (dictionary): A dictionary represe... | 2 | stack_v2_sparse_classes_30k_train_007571 | Implement the Python class `BackupJobProto_ExclusionTimeRange` described below.
Class description:
Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range app... | Implement the Python class `BackupJobProto_ExclusionTimeRange` described below.
Class description:
Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range app... | e4973dfeb836266904d0369ea845513c7acf261e | <|skeleton|>
class BackupJobProto_ExclusionTimeRange:
"""Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range applies to all days. end_time (Time): End ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BackupJobProto_ExclusionTimeRange:
"""Implementation of the 'BackupJobProto_ExclusionTimeRange' model. A proto to specify a time range within a single day when backups are not permitted to run. Attributes: day (int): If the day is not set, the time range applies to all days. end_time (Time): End time of the t... | the_stack_v2_python_sparse | cohesity_management_sdk/models/backup_job_proto_exclusion_time_range.py | cohesity/management-sdk-python | train | 24 |
c7f0a39910e06dd77e74f07b26f5e4fa5ac9e1d3 | [
"super(Annotation, self).__init__(*args, **kwargs)\nif not TOKEN:\n raise exceptions.InvalidCredentials('Missing the \"LIBRATO_TOKEN\" environment variable.')\nif not EMAIL:\n raise exceptions.InvalidCredentials('Missing the \"LIBRATO_EMAIL\" environment variable.')",
"try:\n res = (yield self._fetch(*ar... | <|body_start_0|>
super(Annotation, self).__init__(*args, **kwargs)
if not TOKEN:
raise exceptions.InvalidCredentials('Missing the "LIBRATO_TOKEN" environment variable.')
if not EMAIL:
raise exceptions.InvalidCredentials('Missing the "LIBRATO_EMAIL" environment variable.')... | Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librato.Annotation", "desc": "Mark our deployment", "options": { "title": "Deploy",... | Annotation | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Annotation:
"""Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librato.Annotation", "desc": "Mark our deploy... | stack_v2_sparse_classes_36k_train_011133 | 5,119 | permissive | [
{
"docstring": "Check for the needed environment variables.",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Wrap the superclass _fetch method to catch known Librato errors.",
"name": "_fetch_wrapper",
"signature": "def _fetch_wrapper(self, *arg... | 3 | stack_v2_sparse_classes_30k_train_020542 | Implement the Python class `Annotation` described below.
Class description:
Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librat... | Implement the Python class `Annotation` described below.
Class description:
Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librat... | d0abaf93ff321f12c0504c99eacb89f9288e892b | <|skeleton|>
class Annotation:
"""Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librato.Annotation", "desc": "Mark our deploy... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Annotation:
"""Librato Annotation Actor Posts an Annotation to Librato. **Options** :title: The title of the annotation :description: The description of the annotation :name: Name of the metric to annotate **Examples** .. code-block:: json { "actor": "librato.Annotation", "desc": "Mark our deployment", "optio... | the_stack_v2_python_sparse | kingpin/actors/librato.py | Nextdoor/kingpin | train | 29 |
b9b2002d877d4ba901c817d04112a42d2e3d500f | [
"super(CTCModule, self).__init__()\nself.pred_output_position_inclu_blank = nn.LSTM(in_dim, out_seq_len + 1, num_layers=2, batch_first=True)\nself.out_seq_len = out_seq_len\nself.softmax = nn.Softmax(dim=2)",
"pred_output_position_inclu_blank, _ = self.pred_output_position_inclu_blank(x)\nprob_pred_output_positio... | <|body_start_0|>
super(CTCModule, self).__init__()
self.pred_output_position_inclu_blank = nn.LSTM(in_dim, out_seq_len + 1, num_layers=2, batch_first=True)
self.out_seq_len = out_seq_len
self.softmax = nn.Softmax(dim=2)
<|end_body_0|>
<|body_start_1|>
pred_output_position_inclu_... | CTCModule | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CTCModule:
def __init__(self, in_dim, out_seq_len):
"""This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_seq_len: Sequence length for output modality B"""
<|body_0|>
def forward(self, x):
... | stack_v2_sparse_classes_36k_train_011134 | 25,941 | no_license | [
{
"docstring": "This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_seq_len: Sequence length for output modality B",
"name": "__init__",
"signature": "def __init__(self, in_dim, out_seq_len)"
},
{
"docstring": ":inp... | 2 | stack_v2_sparse_classes_30k_train_007403 | Implement the Python class `CTCModule` described below.
Class description:
Implement the CTCModule class.
Method signatures and docstrings:
- def __init__(self, in_dim, out_seq_len): This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_se... | Implement the Python class `CTCModule` described below.
Class description:
Implement the CTCModule class.
Method signatures and docstrings:
- def __init__(self, in_dim, out_seq_len): This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_se... | 7e55a422588c1d1e00f35a3d3a3ff896cce59e18 | <|skeleton|>
class CTCModule:
def __init__(self, in_dim, out_seq_len):
"""This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_seq_len: Sequence length for output modality B"""
<|body_0|>
def forward(self, x):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CTCModule:
def __init__(self, in_dim, out_seq_len):
"""This module is performing alignment from A (e.g., audio) to B (e.g., text). :param in_dim: Dimension for input modality A :param out_seq_len: Sequence length for output modality B"""
super(CTCModule, self).__init__()
self.pred_outp... | the_stack_v2_python_sparse | generated/test_yaohungt_Multimodal_Transformer.py | jansel/pytorch-jit-paritybench | train | 35 | |
028a20ae7c5ff3524ccfc04dd2bfeb1d0493e36f | [
"super().__init__(pred_name, target_name, filter_func, **kwargs)\nself._class_names = class_names\nself._operation_point = operation_point\nself._metrics = metrics\nself._sum_weights = sum_weights",
"if isinstance(self._operation_point, Callable):\n class_thresholds = self._operation_point(self.epoch_preds, se... | <|body_start_0|>
super().__init__(pred_name, target_name, filter_func, **kwargs)
self._class_names = class_names
self._operation_point = operation_point
self._metrics = metrics
self._sum_weights = sum_weights
<|end_body_0|>
<|body_start_1|>
if isinstance(self._operation_... | Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1. | FuseMetricConfusion | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class FuseMetricConfusion:
"""Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1."""
def __init__(self, pred_name: str, target_name: str, filter_func: Optional[Callable]=None, class_names: List=None, operation_point: Optional[Union[float, List[Tup... | stack_v2_sparse_classes_36k_train_011135 | 5,198 | permissive | [
{
"docstring": ":param pred_name: batch_dict key for predicted output (e.g., class probabilities after softmax) :param target_name: batch_dict key for target (e.g., ground truth label) :param filter_func: function that filters batch_dict/ The function gets ans input batch_dict and returns filtered batch_dict :p... | 2 | null | Implement the Python class `FuseMetricConfusion` described below.
Class description:
Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1.
Method signatures and docstrings:
- def __init__(self, pred_name: str, target_name: str, filter_func: Optional[Callable]=None, cla... | Implement the Python class `FuseMetricConfusion` described below.
Class description:
Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1.
Method signatures and docstrings:
- def __init__(self, pred_name: str, target_name: str, filter_func: Optional[Callable]=None, cla... | acbfd4975f18cd4361d31697faf2f82036399865 | <|skeleton|>
class FuseMetricConfusion:
"""Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1."""
def __init__(self, pred_name: str, target_name: str, filter_func: Optional[Callable]=None, class_names: List=None, operation_point: Optional[Union[float, List[Tup... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class FuseMetricConfusion:
"""Multi class version for confusion metrics including: sensitivity, specificity, recall., precision, f1."""
def __init__(self, pred_name: str, target_name: str, filter_func: Optional[Callable]=None, class_names: List=None, operation_point: Optional[Union[float, List[Tuple], Callable... | the_stack_v2_python_sparse | fuse/metrics/classification/metric_confusion.py | rosenzvi/fuse-med-ml | train | 0 |
8facccb193cc9b3d0636edc3be2890470aebd3ac | [
"super().__init__()\nprototype_shape = (num_prototypes, num_features, w_1, h_1)\nself.prototype_vectors = nn.Parameter(torch.randn(prototype_shape), requires_grad=True)",
"ones = torch.ones_like(self.prototype_vectors, device=xs.device)\nxs_squared_l2 = F.conv2d(xs ** 2, weight=ones)\nps_squared_l2 = torch.sum(se... | <|body_start_0|>
super().__init__()
prototype_shape = (num_prototypes, num_features, w_1, h_1)
self.prototype_vectors = nn.Parameter(torch.randn(prototype_shape), requires_grad=True)
<|end_body_0|>
<|body_start_1|>
ones = torch.ones_like(self.prototype_vectors, device=xs.device)
... | Convolutional layer that computes the squared L2 distance instead of the conventional inner product. | L2Conv2D | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class L2Conv2D:
"""Convolutional layer that computes the squared L2 distance instead of the conventional inner product."""
def __init__(self, num_prototypes, num_features, w_1, h_1):
"""Create a new L2Conv2D layer :param num_prototypes: The number of prototypes in the layer :param num_feat... | stack_v2_sparse_classes_36k_train_011136 | 3,404 | permissive | [
{
"docstring": "Create a new L2Conv2D layer :param num_prototypes: The number of prototypes in the layer :param num_features: The number of channels in the input features :param w_1: Width of the prototypes :param h_1: Height of the prototypes",
"name": "__init__",
"signature": "def __init__(self, num_p... | 2 | stack_v2_sparse_classes_30k_train_021545 | Implement the Python class `L2Conv2D` described below.
Class description:
Convolutional layer that computes the squared L2 distance instead of the conventional inner product.
Method signatures and docstrings:
- def __init__(self, num_prototypes, num_features, w_1, h_1): Create a new L2Conv2D layer :param num_prototyp... | Implement the Python class `L2Conv2D` described below.
Class description:
Convolutional layer that computes the squared L2 distance instead of the conventional inner product.
Method signatures and docstrings:
- def __init__(self, num_prototypes, num_features, w_1, h_1): Create a new L2Conv2D layer :param num_prototyp... | d9e77a90b47cb1efe19f1736c6701872a3c4a62e | <|skeleton|>
class L2Conv2D:
"""Convolutional layer that computes the squared L2 distance instead of the conventional inner product."""
def __init__(self, num_prototypes, num_features, w_1, h_1):
"""Create a new L2Conv2D layer :param num_prototypes: The number of prototypes in the layer :param num_feat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class L2Conv2D:
"""Convolutional layer that computes the squared L2 distance instead of the conventional inner product."""
def __init__(self, num_prototypes, num_features, w_1, h_1):
"""Create a new L2Conv2D layer :param num_prototypes: The number of prototypes in the layer :param num_features: The num... | the_stack_v2_python_sparse | util/l2conv.py | TristanGomez44/ProtoTree | train | 0 |
ced2282fd1496fd7cc8701766813e04594a05b7a | [
"self.__timezone = Timezone()\nself.__screen = screen\nself.__msg = TextboxReflowed(40, 'Select the timezone for the system')\nself.__list = Listbox(5, scroll=1, returnExit=1)\nself.__utc = Checkbox('System clock uses UTC', isOn=0)\nself.__buttonsBar = ButtonBar(self.__screen, [('OK', 'ok'), ('Back', 'back')])\nsel... | <|body_start_0|>
self.__timezone = Timezone()
self.__screen = screen
self.__msg = TextboxReflowed(40, 'Select the timezone for the system')
self.__list = Listbox(5, scroll=1, returnExit=1)
self.__utc = Checkbox('System clock uses UTC', isOn=0)
self.__buttonsBar = ButtonBa... | List all the timezones | ListTimezones | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ListTimezones:
"""List all the timezones"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def __show(self):
"""Shows screen once @rtype: integer @returns: status of operation"""
<|bo... | stack_v2_sparse_classes_36k_train_011137 | 1,898 | no_license | [
{
"docstring": "Constructor @type screen: SnackScreen @param screen: SnackScreen instance",
"name": "__init__",
"signature": "def __init__(self, screen)"
},
{
"docstring": "Shows screen once @rtype: integer @returns: status of operation",
"name": "__show",
"signature": "def __show(self)"... | 3 | null | Implement the Python class `ListTimezones` described below.
Class description:
List all the timezones
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def __show(self): Shows screen once @rtype: integer @returns: status of oper... | Implement the Python class `ListTimezones` described below.
Class description:
List all the timezones
Method signatures and docstrings:
- def __init__(self, screen): Constructor @type screen: SnackScreen @param screen: SnackScreen instance
- def __show(self): Shows screen once @rtype: integer @returns: status of oper... | 1c738fd5e6ee3f8fd4f47acf2207038f20868212 | <|skeleton|>
class ListTimezones:
"""List all the timezones"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
<|body_0|>
def __show(self):
"""Shows screen once @rtype: integer @returns: status of operation"""
<|bo... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ListTimezones:
"""List all the timezones"""
def __init__(self, screen):
"""Constructor @type screen: SnackScreen @param screen: SnackScreen instance"""
self.__timezone = Timezone()
self.__screen = screen
self.__msg = TextboxReflowed(40, 'Select the timezone for the system'... | the_stack_v2_python_sparse | zfrobisher-installer/src/ui/datetimecfg/listtimezones.py | fedosu85nce/work | train | 2 |
2faddcb468f8aa850f14711e9ddc0a67040c5eb9 | [
"self.lvm = lvm\nself.n_particles = n_particles\nself.h_sampler = h_sampler",
"h_sampler = self.lvm.sample_h if self.h_sampler is None else functools.partial(self.h_sampler, self.lvm)\nh = h_sampler(self.n_particles * len(v))\nh = h.view(self.n_particles, len(v), *h.shape[1:]).to(v.device)\nlog_p = self.lvm.log_c... | <|body_start_0|>
self.lvm = lvm
self.n_particles = n_particles
self.h_sampler = h_sampler
<|end_body_0|>
<|body_start_1|>
h_sampler = self.lvm.sample_h if self.h_sampler is None else functools.partial(self.h_sampler, self.lvm)
h = h_sampler(self.n_particles * len(v))
h =... | BruteForceLL | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BruteForceLL:
def __init__(self, lvm, n_particles, h_sampler=None):
"""Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per v h_sampler: (lvm, n_samples) → samples from p(h) of lvm"""
<|body_0|>
def estimate_ll(... | stack_v2_sparse_classes_36k_train_011138 | 985 | no_license | [
{
"docstring": "Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per v h_sampler: (lvm, n_samples) → samples from p(h) of lvm",
"name": "__init__",
"signature": "def __init__(self, lvm, n_particles, h_sampler=None)"
},
{
"docstring"... | 2 | stack_v2_sparse_classes_30k_train_017543 | Implement the Python class `BruteForceLL` described below.
Class description:
Implement the BruteForceLL class.
Method signatures and docstrings:
- def __init__(self, lvm, n_particles, h_sampler=None): Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per... | Implement the Python class `BruteForceLL` described below.
Class description:
Implement the BruteForceLL class.
Method signatures and docstrings:
- def __init__(self, lvm, n_particles, h_sampler=None): Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per... | 5c0c29b5c2864a1a2b2bd61b8561be70de231878 | <|skeleton|>
class BruteForceLL:
def __init__(self, lvm, n_particles, h_sampler=None):
"""Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per v h_sampler: (lvm, n_samples) → samples from p(h) of lvm"""
<|body_0|>
def estimate_ll(... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BruteForceLL:
def __init__(self, lvm, n_particles, h_sampler=None):
"""Brute force estimation of log-likelihood by log p(v) = log E_h[p(v|h)] Args: lvm: a LVM instance n_particles: #h per v h_sampler: (lvm, n_samples) → samples from p(h) of lvm"""
self.lvm = lvm
self.n_particles = n_pa... | the_stack_v2_python_sparse | core/inference/ll/brute_force_ll.py | WN1695173791/VaGES | train | 0 | |
1c6576e5a1eb917bdc4badfd9d64f4736caae5ca | [
"self.c = capacity\nself.dic = {}\nself.stack = []\nself.count = 0",
"if key in self.dic:\n self.stack.remove(key)\n self.stack.insert(0, key)\n return self.dic[key]\nelse:\n return -1",
"if self.count < self.c:\n if key not in self.dic:\n self.count += 1\n else:\n self.stack.rem... | <|body_start_0|>
self.c = capacity
self.dic = {}
self.stack = []
self.count = 0
<|end_body_0|>
<|body_start_1|>
if key in self.dic:
self.stack.remove(key)
self.stack.insert(0, key)
return self.dic[key]
else:
return -1
<|end... | LRUCache | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k_train_011139 | 1,228 | no_license | [
{
"docstring": ":type capacity: int",
"name": "__init__",
"signature": "def __init__(self, capacity)"
},
{
"docstring": ":type key: int :rtype: int",
"name": "get",
"signature": "def get(self, key)"
},
{
"docstring": ":type key: int :type value: int :rtype: void",
"name": "pu... | 3 | null | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void | Implement the Python class `LRUCache` described below.
Class description:
Implement the LRUCache class.
Method signatures and docstrings:
- def __init__(self, capacity): :type capacity: int
- def get(self, key): :type key: int :rtype: int
- def put(self, key, value): :type key: int :type value: int :rtype: void
<|sk... | bccd0f6ebb00e9569093f8ec18ebf0e94035dce6 | <|skeleton|>
class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
<|body_0|>
def get(self, key):
""":type key: int :rtype: int"""
<|body_1|>
def put(self, key, value):
""":type key: int :type value: int :rtype: void"""
<|body_2|>
<|end_s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class LRUCache:
def __init__(self, capacity):
""":type capacity: int"""
self.c = capacity
self.dic = {}
self.stack = []
self.count = 0
def get(self, key):
""":type key: int :rtype: int"""
if key in self.dic:
self.stack.remove(key)
... | the_stack_v2_python_sparse | LRU Cache.py | nan0445/Leetcode-Python | train | 0 | |
ac5b3484ebbde711f9664e8f3e1d80107aab542f | [
"lock_time = utils.milliseconds_now()\nwith session.begin_transaction() as tx:\n instance = cls.find_transaction(tx, uuid)\n if instance is None:\n instance = cls(uuid=uuid, account_number=account_number, name=name, locked=lock_time)\n instance._update(tx, lock_time)\n elif instance.locked ==... | <|body_start_0|>
lock_time = utils.milliseconds_now()
with session.begin_transaction() as tx:
instance = cls.find_transaction(tx, uuid)
if instance is None:
instance = cls(uuid=uuid, account_number=account_number, name=name, locked=lock_time)
insta... | Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null. | EnvironmentLockEntity | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnvironmentLockEntity:
"""Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null."""
def lock(cls, session, uuid, account_number, name):
"""Locks an environment with matching uuid. Lock is obtained in a s... | stack_v2_sparse_classes_36k_train_011140 | 3,581 | permissive | [
{
"docstring": "Locks an environment with matching uuid. Lock is obtained in a single transaction. :param session: neo4j driver session :type session: neo4j.v1.session.BoltSession :param uuid: Environment uuid. :type uuid: str :param account_number: Account number :type account_number: str :param name: Name of ... | 2 | stack_v2_sparse_classes_30k_train_004902 | Implement the Python class `EnvironmentLockEntity` described below.
Class description:
Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null.
Method signatures and docstrings:
- def lock(cls, session, uuid, account_number, name): Locks a... | Implement the Python class `EnvironmentLockEntity` described below.
Class description:
Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null.
Method signatures and docstrings:
- def lock(cls, session, uuid, account_number, name): Locks a... | aaab76706c8268d3ff3e87c275baee9dd4714314 | <|skeleton|>
class EnvironmentLockEntity:
"""Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null."""
def lock(cls, session, uuid, account_number, name):
"""Locks an environment with matching uuid. Lock is obtained in a s... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EnvironmentLockEntity:
"""Model an environment lock in the graph. A lock on an environment exists if the locked property for an environmentlock node is not null."""
def lock(cls, session, uuid, account_number, name):
"""Locks an environment with matching uuid. Lock is obtained in a single transac... | the_stack_v2_python_sparse | cloud_snitch/models/environmentlock.py | rcbops/FleetDeploymentReporting | train | 1 |
24946af70bd19f4df06148cc31a255e1e471b47b | [
"if not kwargs.get('obj_ids'):\n obj_model = facade.get_route_map_by_search(self.search)\n objects = obj_model['query_set']\n only_main_property = False\nelse:\n ids = kwargs.get('obj_ids').split(';')\n objects = facade.get_route_map_by_ids(ids)\n only_main_property = True\n obj_model = None\ns... | <|body_start_0|>
if not kwargs.get('obj_ids'):
obj_model = facade.get_route_map_by_search(self.search)
objects = obj_model['query_set']
only_main_property = False
else:
ids = kwargs.get('obj_ids').split(';')
objects = facade.get_route_map_by_id... | RouteMapDBView | [
"Apache-2.0",
"BSD-3-Clause",
"MIT",
"LicenseRef-scancode-public-domain",
"BSD-2-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RouteMapDBView:
def get(self, request, *args, **kwargs):
"""Returns a list of RouteMaps by ids ou dict."""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Create new RouteMap."""
<|body_1|>
def put(self, request, *args, **kwargs):
"""Upda... | stack_v2_sparse_classes_36k_train_011141 | 9,414 | permissive | [
{
"docstring": "Returns a list of RouteMaps by ids ou dict.",
"name": "get",
"signature": "def get(self, request, *args, **kwargs)"
},
{
"docstring": "Create new RouteMap.",
"name": "post",
"signature": "def post(self, request, *args, **kwargs)"
},
{
"docstring": "Update RouteMap... | 4 | stack_v2_sparse_classes_30k_train_002255 | Implement the Python class `RouteMapDBView` described below.
Class description:
Implement the RouteMapDBView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Returns a list of RouteMaps by ids ou dict.
- def post(self, request, *args, **kwargs): Create new RouteMap.
- def put(self, ... | Implement the Python class `RouteMapDBView` described below.
Class description:
Implement the RouteMapDBView class.
Method signatures and docstrings:
- def get(self, request, *args, **kwargs): Returns a list of RouteMaps by ids ou dict.
- def post(self, request, *args, **kwargs): Create new RouteMap.
- def put(self, ... | eb27e1d977a1c4bb1fee8fb51b8d8050c64696d9 | <|skeleton|>
class RouteMapDBView:
def get(self, request, *args, **kwargs):
"""Returns a list of RouteMaps by ids ou dict."""
<|body_0|>
def post(self, request, *args, **kwargs):
"""Create new RouteMap."""
<|body_1|>
def put(self, request, *args, **kwargs):
"""Upda... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RouteMapDBView:
def get(self, request, *args, **kwargs):
"""Returns a list of RouteMaps by ids ou dict."""
if not kwargs.get('obj_ids'):
obj_model = facade.get_route_map_by_search(self.search)
objects = obj_model['query_set']
only_main_property = False
... | the_stack_v2_python_sparse | networkapi/api_route_map/v4/views.py | globocom/GloboNetworkAPI | train | 86 | |
3de7e65d8aff5eeabe000b15a93114d834d21ec2 | [
"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... | The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS is opaque to the execution engine, and is only used as a communication medium. In order to build an ... | ContentAddressableStorageServicer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ContentAddressableStorageServicer:
"""The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS is opaque to the execution engine, and ... | stack_v2_sparse_classes_36k_train_011142 | 24,490 | no_license | [
{
"docstring": "Determine if blobs are present in the CAS. Clients can use this API before uploading blobs to determine which ones are already present in the CAS and do not need to be uploaded again. There are no method-specific errors.",
"name": "FindMissingBlobs",
"signature": "def FindMissingBlobs(se... | 3 | stack_v2_sparse_classes_30k_train_017647 | Implement the Python class `ContentAddressableStorageServicer` described below.
Class description:
The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS ... | Implement the Python class `ContentAddressableStorageServicer` described below.
Class description:
The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS ... | d7424d21aa0dc121acc4d64b427ba365a3581a20 | <|skeleton|>
class ContentAddressableStorageServicer:
"""The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS is opaque to the execution engine, and ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ContentAddressableStorageServicer:
"""The CAS (content-addressable storage) is used to store the inputs to and outputs from the execution service. Each piece of content is addressed by the digest of its binary data. Most of the binary data stored in the CAS is opaque to the execution engine, and is only used ... | the_stack_v2_python_sparse | google/devtools/remoteexecution/v1test/remote_execution_pb2_grpc.py | msachtler/bazel-event-protocol-parser | train | 1 |
e348c5bffd35f16bbd71d083a51ddfe8b2dd4b60 | [
"match = DATA_MATCHER.match(self.raw_data)\nif not match:\n raise SampleException('Issmcnsm_flortdParserDataParticle: No regex match of parsed sample data [%s]', self.raw_data)\ntry:\n date_match = DATA_TIME_MATCHER.match(match.group(1))\n if not date_match:\n raise... | <|body_start_0|>
match = DATA_MATCHER.match(self.raw_data)
if not match:
raise SampleException('Issmcnsm_flortdParserDataParticle: No regex match of parsed sample data [%s]', self.raw_data)
try:
date_match = DATA_TIME_MATCHER.match(match.... | Class for parsing data from the issmcnsm_flort instrument | Issmcnsm_flortdParserDataParticle | [
"BSD-2-Clause",
"LicenseRef-scancode-unknown-license-reference"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Issmcnsm_flortdParserDataParticle:
"""Class for parsing data from the issmcnsm_flort instrument"""
def _build_parsed_values(self):
"""Take something in the data format and turn it into a particle with the appropriate tag. @throws SampleException If there is a problem with sample crea... | stack_v2_sparse_classes_36k_train_011143 | 12,527 | permissive | [
{
"docstring": "Take something in the data format and turn it into a particle with the appropriate tag. @throws SampleException If there is a problem with sample creation",
"name": "_build_parsed_values",
"signature": "def _build_parsed_values(self)"
},
{
"docstring": "Quick equality check for t... | 2 | stack_v2_sparse_classes_30k_train_013181 | Implement the Python class `Issmcnsm_flortdParserDataParticle` described below.
Class description:
Class for parsing data from the issmcnsm_flort instrument
Method signatures and docstrings:
- def _build_parsed_values(self): Take something in the data format and turn it into a particle with the appropriate tag. @thro... | Implement the Python class `Issmcnsm_flortdParserDataParticle` described below.
Class description:
Class for parsing data from the issmcnsm_flort instrument
Method signatures and docstrings:
- def _build_parsed_values(self): Take something in the data format and turn it into a particle with the appropriate tag. @thro... | a1f2fa611b773cb2ae309fce7b9df2dec6d739d6 | <|skeleton|>
class Issmcnsm_flortdParserDataParticle:
"""Class for parsing data from the issmcnsm_flort instrument"""
def _build_parsed_values(self):
"""Take something in the data format and turn it into a particle with the appropriate tag. @throws SampleException If there is a problem with sample crea... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Issmcnsm_flortdParserDataParticle:
"""Class for parsing data from the issmcnsm_flort instrument"""
def _build_parsed_values(self):
"""Take something in the data format and turn it into a particle with the appropriate tag. @throws SampleException If there is a problem with sample creation"""
... | the_stack_v2_python_sparse | mi/dataset/parser/issmcnsm_flortd.py | AYCS/marine-integrations | train | 0 |
47e53984d6376001b5033363c8f56d063d95b193 | [
"self.verbose = verbose\nself.__get_spatial_data__(dsName)\nself.__format_date_time__(date, time)\nself.__format_outname__(outName)\nself.__create_tide_maps__()",
"if self.verbose == True:\n print('Retrieving data set bounds and resolution')\nDS = load_gdal_dataset(dsName)\ntnsf = DS.GetGeoTransform()\nM, N = ... | <|body_start_0|>
self.verbose = verbose
self.__get_spatial_data__(dsName)
self.__format_date_time__(date, time)
self.__format_outname__(outName)
self.__create_tide_maps__()
<|end_body_0|>
<|body_start_1|>
if self.verbose == True:
print('Retrieving data set bo... | create_tide_map | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class create_tide_map:
def __init__(self, dsName, date, time, outName, verbose=False):
"""Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport: load_gdal_dataset, load_gdal_datasets GeoFormatting: get_raster_size, parse_transform Viewing: raster_... | stack_v2_sparse_classes_36k_train_011144 | 6,224 | no_license | [
{
"docstring": "Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport: load_gdal_dataset, load_gdal_datasets GeoFormatting: get_raster_size, parse_transform Viewing: raster_multiplot",
"name": "__init__",
"signature": "def __init__(self, dsName, date, time,... | 6 | stack_v2_sparse_classes_30k_train_017361 | Implement the Python class `create_tide_map` described below.
Class description:
Implement the create_tide_map class.
Method signatures and docstrings:
- def __init__(self, dsName, date, time, outName, verbose=False): Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport... | Implement the Python class `create_tide_map` described below.
Class description:
Implement the create_tide_map class.
Method signatures and docstrings:
- def __init__(self, dsName, date, time, outName, verbose=False): Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport... | 91550a563afe4739af4cf638c3560a21a33b75db | <|skeleton|>
class create_tide_map:
def __init__(self, dsName, date, time, outName, verbose=False):
"""Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport: load_gdal_dataset, load_gdal_datasets GeoFormatting: get_raster_size, parse_transform Viewing: raster_... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class create_tide_map:
def __init__(self, dsName, date, time, outName, verbose=False):
"""Create one or more tide maps using GMT 6's earthtide functionality. This class Inherits os IOsupport: load_gdal_dataset, load_gdal_datasets GeoFormatting: get_raster_size, parse_transform Viewing: raster_multiplot"""
... | the_stack_v2_python_sparse | bin/compute_earthtide.py | cherishing99/InsarToolkit | train | 0 | |
7fe72cec041732b4afd3fee2b13d0e8fa4f14673 | [
"self.name = name\nself.first_name = first_name\nself.middle_name = middle_name\nself.last_name = last_name\nself.date_of_birth = date_of_birth\nself.status = status\nself.social_security_number = social_security_number\nself.identity_provider_unique_id = identity_provider_unique_id\nself.identity_provider = identi... | <|body_start_0|>
self.name = name
self.first_name = first_name
self.middle_name = middle_name
self.last_name = last_name
self.date_of_birth = date_of_birth
self.status = status
self.social_security_number = social_security_number
self.identity_provider_uni... | Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_name (string): The first name of the user middle_name (string): The middle name of the user ... | IdentificationResponse | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class IdentificationResponse:
"""Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_name (string): The first name of the user ... | stack_v2_sparse_classes_36k_train_011145 | 6,423 | permissive | [
{
"docstring": "Constructor for the IdentificationResponse class",
"name": "__init__",
"signature": "def __init__(self, name=None, first_name=None, middle_name=None, last_name=None, date_of_birth=None, status=None, social_security_number=None, identity_provider_unique_id=None, identity_provider=None, er... | 2 | null | Implement the Python class `IdentificationResponse` described below.
Class description:
Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_nam... | Implement the Python class `IdentificationResponse` described below.
Class description:
Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_nam... | fa3918a6c54ea0eedb9146578645b7eb1755b642 | <|skeleton|>
class IdentificationResponse:
"""Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_name (string): The first name of the user ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class IdentificationResponse:
"""Implementation of the 'IdentificationResponse' model. The reponse for the identity process. Contains users name, id number etc Attributes: name (string): The fullname of the user as reported back from the IdentityProvider first_name (string): The first name of the user middle_name (... | the_stack_v2_python_sparse | idfy_rest_client/models/identification_response.py | dealflowteam/Idfy | train | 0 |
408c46e8af6b2eb87c4ec1cd1b9d6459725e88fd | [
"self.base_url = 'https://follow-api-ms.juejin.im/v1/getUserFollowerList'\nself.user_id = ''\nself.src = 'web'\nself.before = ''\nself.param = {}\nself.user_list = []\nself.json_file = 'follower_user.json'\nself.user_count = 0",
"headers = {'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.... | <|body_start_0|>
self.base_url = 'https://follow-api-ms.juejin.im/v1/getUserFollowerList'
self.user_id = ''
self.src = 'web'
self.before = ''
self.param = {}
self.user_list = []
self.json_file = 'follower_user.json'
self.user_count = 0
<|end_body_0|>
<|bo... | 抓取掘金用户的关注者 | GetFollwerUser | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GetFollwerUser:
"""抓取掘金用户的关注者"""
def __init__(self):
"""初始化变量"""
<|body_0|>
def get_users(self):
"""获取一页的用户"""
<|body_1|>
def get_follower_user(self, user_id):
"""获取关注者的关注者"""
<|body_2|>
def read_write_by_json(self, data):
... | stack_v2_sparse_classes_36k_train_011146 | 4,825 | no_license | [
{
"docstring": "初始化变量",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "获取一页的用户",
"name": "get_users",
"signature": "def get_users(self)"
},
{
"docstring": "获取关注者的关注者",
"name": "get_follower_user",
"signature": "def get_follower_user(self, user_id... | 5 | null | Implement the Python class `GetFollwerUser` described below.
Class description:
抓取掘金用户的关注者
Method signatures and docstrings:
- def __init__(self): 初始化变量
- def get_users(self): 获取一页的用户
- def get_follower_user(self, user_id): 获取关注者的关注者
- def read_write_by_json(self, data): 读写json文件
- def run(self, user_id): 开始爬取 | Implement the Python class `GetFollwerUser` described below.
Class description:
抓取掘金用户的关注者
Method signatures and docstrings:
- def __init__(self): 初始化变量
- def get_users(self): 获取一页的用户
- def get_follower_user(self, user_id): 获取关注者的关注者
- def read_write_by_json(self, data): 读写json文件
- def run(self, user_id): 开始爬取
<|ske... | 85252128df681c472acda8ae2467c4426612f9b6 | <|skeleton|>
class GetFollwerUser:
"""抓取掘金用户的关注者"""
def __init__(self):
"""初始化变量"""
<|body_0|>
def get_users(self):
"""获取一页的用户"""
<|body_1|>
def get_follower_user(self, user_id):
"""获取关注者的关注者"""
<|body_2|>
def read_write_by_json(self, data):
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GetFollwerUser:
"""抓取掘金用户的关注者"""
def __init__(self):
"""初始化变量"""
self.base_url = 'https://follow-api-ms.juejin.im/v1/getUserFollowerList'
self.user_id = ''
self.src = 'web'
self.before = ''
self.param = {}
self.user_list = []
self.json_file ... | the_stack_v2_python_sparse | 取个队名真难-C/day18/follower_user_to_more.py | lxiaokai/team-learning-python | train | 12 |
f89b4c257775bcc222c8dc0203a5defabbbd1b04 | [
"if not digits:\n return []\ndigit_dict = {'2': 'abc', '3': 'def', '4': 'ghi', '5': 'jkl', '6': 'mno', '7': 'pqrs', '8': 'tuv', '9': 'wxyz'}\ndq = collections.deque(list(digit_dict[digits[0]]))\nfor i, d in enumerate(digits[1:], 1):\n while len(dq[0]) <= i:\n s = dq.popleft()\n for c in digit_di... | <|body_start_0|>
if not digits:
return []
digit_dict = {'2': 'abc', '3': 'def', '4': 'ghi', '5': 'jkl', '6': 'mno', '7': 'pqrs', '8': 'tuv', '9': 'wxyz'}
dq = collections.deque(list(digit_dict[digits[0]]))
for i, d in enumerate(digits[1:], 1):
while len(dq[0]) <= ... | Solution | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def letterCombinations2(self, digits: str) -> List[str]:
"""AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.length <= 4 digits[i] is a digit in the range ['2', '9'] :return:"""
<|body_0|>
def lett... | stack_v2_sparse_classes_36k_train_011147 | 1,805 | permissive | [
{
"docstring": "AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.length <= 4 digits[i] is a digit in the range ['2', '9'] :return:",
"name": "letterCombinations2",
"signature": "def letterCombinations2(self, digits: str) -> List[str]"
... | 2 | stack_v2_sparse_classes_30k_train_021096 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations2(self, digits: str) -> List[str]: AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.leng... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def letterCombinations2(self, digits: str) -> List[str]: AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.leng... | 4dd1e54d8d08f7e6590bc76abd08ecaacaf775e5 | <|skeleton|>
class Solution:
def letterCombinations2(self, digits: str) -> List[str]:
"""AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.length <= 4 digits[i] is a digit in the range ['2', '9'] :return:"""
<|body_0|>
def lett... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def letterCombinations2(self, digits: str) -> List[str]:
"""AC: 05/09/2022 Runtime: 34 ms, faster than 76.96% Memory Usage: 13.9 MB, less than 79.68% :param digits: 0 <= digits.length <= 4 digits[i] is a digit in the range ['2', '9'] :return:"""
if not digits:
return []
... | the_stack_v2_python_sparse | src/17-LetterCombinationsOfAPhoneNumber.py | Jiezhi/myleetcode | train | 1 | |
835296b8bf555f955db865bc87f64328015dced8 | [
"super(TransformerEncoderLayer, self).__init__()\nself.layer_norm = nn.LayerNorm(size, eps=1e-06)\nself.src_src_att = MultiHeadedAttention(num_heads, size, dropout=dropout)\nself.feed_forward = PositionwiseFeedForward(input_size=size, ff_size=ff_size, dropout=dropout)\nself.dropout = nn.Dropout(dropout)\nself.size ... | <|body_start_0|>
super(TransformerEncoderLayer, self).__init__()
self.layer_norm = nn.LayerNorm(size, eps=1e-06)
self.src_src_att = MultiHeadedAttention(num_heads, size, dropout=dropout)
self.feed_forward = PositionwiseFeedForward(input_size=size, ff_size=ff_size, dropout=dropout)
... | One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer. | TransformerEncoderLayer | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TransformerEncoderLayer:
"""One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer."""
def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1):
"""A single Transformer layer. :param size: :param ff_size: :p... | stack_v2_sparse_classes_36k_train_011148 | 6,117 | no_license | [
{
"docstring": "A single Transformer layer. :param size: :param ff_size: :param num_heads: :param dropout:",
"name": "__init__",
"signature": "def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1)"
},
{
"docstring": "Forward pass for a single transformer encoder l... | 2 | stack_v2_sparse_classes_30k_train_012792 | Implement the Python class `TransformerEncoderLayer` described below.
Class description:
One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer.
Method signatures and docstrings:
- def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1): A ... | Implement the Python class `TransformerEncoderLayer` described below.
Class description:
One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer.
Method signatures and docstrings:
- def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1): A ... | e213665be8d3820fa2fc0aa9afe9949fd2e3d488 | <|skeleton|>
class TransformerEncoderLayer:
"""One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer."""
def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1):
"""A single Transformer layer. :param size: :param ff_size: :p... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TransformerEncoderLayer:
"""One Transformer encoder layer has a Multi-head attention layer plus a position-wise feed-forward layer."""
def __init__(self, size: int=0, ff_size: int=0, num_heads: int=0, dropout: float=0.1):
"""A single Transformer layer. :param size: :param ff_size: :param num_head... | the_stack_v2_python_sparse | modules/transformer_layers.py | zqp111/transformer_ar | train | 1 |
45a2b73b5b66b0059ee6dcbfeac393737c946a39 | [
"super().__init__(pos_enc_class)\nself.conv = nn.Sequential(Conv2D(1, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU())\nself.linear = Linear(odim * ((((idim - 1) // 2 - 1) // 2 - 1) // 2), odim)\nself.subsampling_rate = 8\nself.right_context = 14",
"x = x.unsqueeze... | <|body_start_0|>
super().__init__(pos_enc_class)
self.conv = nn.Sequential(Conv2D(1, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU(), Conv2D(odim, odim, 3, 2), nn.ReLU())
self.linear = Linear(odim * ((((idim - 1) // 2 - 1) // 2 - 1) // 2), odim)
self.subsampling_rate = 8
... | Convolutional 2D subsampling (to 1/8 length). | Conv2dSubsampling8 | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimensio... | stack_v2_sparse_classes_36k_train_011149 | 11,942 | permissive | [
{
"docstring": "Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimension. dropout_rate (float): Dropout rate.",
"name": "__init__",
"signature": "def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding)"
},... | 2 | stack_v2_sparse_classes_30k_train_009565 | Implement the Python class `Conv2dSubsampling8` described below.
Class description:
Convolutional 2D subsampling (to 1/8 length).
Method signatures and docstrings:
- def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding): Construct an Conv2dSubsampling8 object. Args:... | Implement the Python class `Conv2dSubsampling8` described below.
Class description:
Convolutional 2D subsampling (to 1/8 length).
Method signatures and docstrings:
- def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding): Construct an Conv2dSubsampling8 object. Args:... | 17854a04d43c231eff66bfed9d6aa55e94a29e79 | <|skeleton|>
class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimensio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Conv2dSubsampling8:
"""Convolutional 2D subsampling (to 1/8 length)."""
def __init__(self, idim: int, odim: int, dropout_rate: float, pos_enc_class: nn.Layer=PositionalEncoding):
"""Construct an Conv2dSubsampling8 object. Args: idim (int): Input dimension. odim (int): Output dimension. dropout_ra... | the_stack_v2_python_sparse | paddlespeech/s2t/modules/subsampling.py | anniyanvr/DeepSpeech-1 | train | 0 |
7edbd5ec43c9ac6da2d579907204f6252653f8c1 | [
"with open(filename) as runfile:\n data = runfile.read()\ndecoded = json.loads(data)\nreturn cls(**decoded)",
"filename = os.path.join(directory, self.station_id)\nwith open(filename, 'w') as runfile:\n runfile.write(self.AsJSON())\nreturn filename",
"data = self._asdict()\ndata['http_host'] = self.http_h... | <|body_start_0|>
with open(filename) as runfile:
data = runfile.read()
decoded = json.loads(data)
return cls(**decoded)
<|end_body_0|>
<|body_start_1|>
filename = os.path.join(directory, self.station_id)
with open(filename, 'w') as runfile:
runfile.write(... | Encapsulates the run data stored in an openhtf file. | RunData | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RunData:
"""Encapsulates the run data stored in an openhtf file."""
def FromFile(cls, filename):
"""Creates RunData from a run file."""
<|body_0|>
def SaveToFile(self, directory):
"""Saves this run data to a file, typically in /var/run/openhtf. Args: directory: T... | stack_v2_sparse_classes_36k_train_011150 | 3,099 | permissive | [
{
"docstring": "Creates RunData from a run file.",
"name": "FromFile",
"signature": "def FromFile(cls, filename)"
},
{
"docstring": "Saves this run data to a file, typically in /var/run/openhtf. Args: directory: The directory in which to save this file. Return: The filename of this rundata.",
... | 4 | stack_v2_sparse_classes_30k_test_000335 | Implement the Python class `RunData` described below.
Class description:
Encapsulates the run data stored in an openhtf file.
Method signatures and docstrings:
- def FromFile(cls, filename): Creates RunData from a run file.
- def SaveToFile(self, directory): Saves this run data to a file, typically in /var/run/openht... | Implement the Python class `RunData` described below.
Class description:
Encapsulates the run data stored in an openhtf file.
Method signatures and docstrings:
- def FromFile(cls, filename): Creates RunData from a run file.
- def SaveToFile(self, directory): Saves this run data to a file, typically in /var/run/openht... | bc41fcf0b804530c36cbeccacba5d5b98c5df243 | <|skeleton|>
class RunData:
"""Encapsulates the run data stored in an openhtf file."""
def FromFile(cls, filename):
"""Creates RunData from a run file."""
<|body_0|>
def SaveToFile(self, directory):
"""Saves this run data to a file, typically in /var/run/openhtf. Args: directory: T... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RunData:
"""Encapsulates the run data stored in an openhtf file."""
def FromFile(cls, filename):
"""Creates RunData from a run file."""
with open(filename) as runfile:
data = runfile.read()
decoded = json.loads(data)
return cls(**decoded)
def SaveToFile(se... | the_stack_v2_python_sparse | openhtf/io/rundata.py | googlerhuili/openhtf | train | 1 |
38842145fb4093a1e86ed8ef81538bde37835646 | [
"if not language in ACCEPTED_LANGUAGES:\n raise ValueError(f'Language {language} is not supported yet')\nelif descriptive_indices is not None and descriptive_indices.language != language:\n raise ValueError(f'The descriptive indices analyzer must be of the same language as the word information analyzer.')\nse... | <|body_start_0|>
if not language in ACCEPTED_LANGUAGES:
raise ValueError(f'Language {language} is not supported yet')
elif descriptive_indices is not None and descriptive_indices.language != language:
raise ValueError(f'The descriptive indices analyzer must be of the same languag... | This class will handle all operations to find the readability indices of a text according to Coh-Metrix. | ReadabilityIndices | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ReadabilityIndices:
"""This class will handle all operations to find the readability indices of a text according to Coh-Metrix."""
def __init__(self, nlp, language: str='es', descriptive_indices: DescriptiveIndices=None) -> None:
"""The constructor will initialize this object that ca... | stack_v2_sparse_classes_36k_train_011151 | 3,373 | no_license | [
{
"docstring": "The constructor will initialize this object that calculates the readability indices for a specific language of those that are available. Parameters: nlp: The spacy model that corresponds to a language. language(str): The language that the texts to process will have. descriptive_indices(Descripti... | 2 | stack_v2_sparse_classes_30k_train_001170 | Implement the Python class `ReadabilityIndices` described below.
Class description:
This class will handle all operations to find the readability indices of a text according to Coh-Metrix.
Method signatures and docstrings:
- def __init__(self, nlp, language: str='es', descriptive_indices: DescriptiveIndices=None) -> ... | Implement the Python class `ReadabilityIndices` described below.
Class description:
This class will handle all operations to find the readability indices of a text according to Coh-Metrix.
Method signatures and docstrings:
- def __init__(self, nlp, language: str='es', descriptive_indices: DescriptiveIndices=None) -> ... | f23342fbf2cb54a89cd381813ad9eee754b61094 | <|skeleton|>
class ReadabilityIndices:
"""This class will handle all operations to find the readability indices of a text according to Coh-Metrix."""
def __init__(self, nlp, language: str='es', descriptive_indices: DescriptiveIndices=None) -> None:
"""The constructor will initialize this object that ca... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ReadabilityIndices:
"""This class will handle all operations to find the readability indices of a text according to Coh-Metrix."""
def __init__(self, nlp, language: str='es', descriptive_indices: DescriptiveIndices=None) -> None:
"""The constructor will initialize this object that calculates the ... | the_stack_v2_python_sparse | src/processing/coh_metrix_indices/readability_indices.py | persuaide/Tesis_Chatbot | train | 0 |
414af5a198fa6917131305d0d692a8aa3273f099 | [
"wave = np.asarray(wave)\nflux = np.asarray(flux)\nassert flux.shape[1] == len(wave)\nself.type = template_type\nself.subtype = subtype\nself.redshifts = np.asarray(redshifts)\nself.wave = wave\nself.flux = flux\nself.nbasis = flux.shape[0]\nself.nwave = flux.shape[1]",
"if self.subtype != '':\n return '{}:{}'... | <|body_start_0|>
wave = np.asarray(wave)
flux = np.asarray(flux)
assert flux.shape[1] == len(wave)
self.type = template_type
self.subtype = subtype
self.redshifts = np.asarray(redshifts)
self.wave = wave
self.flux = flux
self.nbasis = flux.shape[0]... | Template | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Template:
def __init__(self, template_type, redshifts, wave, flux, subtype=''):
"""Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' redshifts : array of redshifts to consider for this template wave : 1D array of restframe wavelengt... | stack_v2_sparse_classes_36k_train_011152 | 15,834 | permissive | [
{
"docstring": "Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' redshifts : array of redshifts to consider for this template wave : 1D array of restframe wavelengths flux : 2D array of PCA eigenvectors[number of basis eigenvectors, nwave]",
"name": "... | 3 | null | Implement the Python class `Template` described below.
Class description:
Implement the Template class.
Method signatures and docstrings:
- def __init__(self, template_type, redshifts, wave, flux, subtype=''): Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' re... | Implement the Python class `Template` described below.
Class description:
Implement the Template class.
Method signatures and docstrings:
- def __init__(self, template_type, redshifts, wave, flux, subtype=''): Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' re... | fca7d0cd515b756233dfd530e9f779c637730bc4 | <|skeleton|>
class Template:
def __init__(self, template_type, redshifts, wave, flux, subtype=''):
"""Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' redshifts : array of redshifts to consider for this template wave : 1D array of restframe wavelengt... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Template:
def __init__(self, template_type, redshifts, wave, flux, subtype=''):
"""Create a spectral Template PCA object Args: template_type : str, type of template, e.g. 'galaxy' or 'qso' redshifts : array of redshifts to consider for this template wave : 1D array of restframe wavelengths flux : 2D a... | the_stack_v2_python_sparse | desihub/redrock/py/redrock/dataobj.py | michaelJwilson/LBGCMB | train | 2 | |
231db2c3fc0c6bbc3cdda02c8c4e94891fb21a91 | [
"class Other:\n\n def __init__(self):\n self.keystring = ''\n self.valuesum = 0\n\n def add_function(self, items):\n for key, value in items:\n self.valuesum += value\n self.keystring += key\n\n def remove_function(self, items):\n for key, value in items:\n... | <|body_start_0|>
class Other:
def __init__(self):
self.keystring = ''
self.valuesum = 0
def add_function(self, items):
for key, value in items:
self.valuesum += value
self.keystring += key
... | An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten. | EnforcerDictSpec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class EnforcerDictSpec:
"""An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten."""
def ENFORCER_DICT(EnforcerDict, dict_like=None, add_function=None, remove_function=None):
"""Build a dictionary with enforcemen... | stack_v2_sparse_classes_36k_train_011153 | 4,361 | no_license | [
{
"docstring": "Build a dictionary with enforcement hooks. `add_function(added)` is a function that is called whenever a new (or replacement) key:value pair is added, and it should expect `added` to be a `iterable<tuple<key, value>>` as an argument. The return of `add_function(added)` should be an `iterable<tup... | 4 | stack_v2_sparse_classes_30k_train_011569 | Implement the Python class `EnforcerDictSpec` described below.
Class description:
An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten.
Method signatures and docstrings:
- def ENFORCER_DICT(EnforcerDict, dict_like=None, add_function=None, ... | Implement the Python class `EnforcerDictSpec` described below.
Class description:
An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten.
Method signatures and docstrings:
- def ENFORCER_DICT(EnforcerDict, dict_like=None, add_function=None, ... | 47c1512bc2d593dd33ac55ec6137d035fff2e2a9 | <|skeleton|>
class EnforcerDictSpec:
"""An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten."""
def ENFORCER_DICT(EnforcerDict, dict_like=None, add_function=None, remove_function=None):
"""Build a dictionary with enforcemen... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class EnforcerDictSpec:
"""An extension of python `dict` with enforcment hooks that call functions whenever items are added/overwritten or removed/overwritten."""
def ENFORCER_DICT(EnforcerDict, dict_like=None, add_function=None, remove_function=None):
"""Build a dictionary with enforcement hooks. `add... | the_stack_v2_python_sparse | structpy/collection/enforcer/enforcer_dict_spec.py | jdfinch/structpy | train | 0 |
e37c7a2b403a5ea08a4c4dca7671bbb891921288 | [
"super(MolTransModel, self).__init__()\nself.model_config = model_config\nself.drug_max_seq = model_config['drug_max_seq']\nself.target_max_seq = model_config['target_max_seq']\nself.emb_size = model_config['emb_size']\nself.dropout_ratio = model_config['dropout_ratio']\nself.input_drug_dim = model_config['input_dr... | <|body_start_0|>
super(MolTransModel, self).__init__()
self.model_config = model_config
self.drug_max_seq = model_config['drug_max_seq']
self.target_max_seq = model_config['target_max_seq']
self.emb_size = model_config['emb_size']
self.dropout_ratio = model_config['dropou... | Interaction Module | MolTransModel | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MolTransModel:
"""Interaction Module"""
def __init__(self, model_config):
"""Initialization"""
<|body_0|>
def forward(self, d, t, d_masking, t_masking):
"""Double Towers"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
super(MolTransModel, self).... | stack_v2_sparse_classes_36k_train_011154 | 12,741 | permissive | [
{
"docstring": "Initialization",
"name": "__init__",
"signature": "def __init__(self, model_config)"
},
{
"docstring": "Double Towers",
"name": "forward",
"signature": "def forward(self, d, t, d_masking, t_masking)"
}
] | 2 | null | Implement the Python class `MolTransModel` described below.
Class description:
Interaction Module
Method signatures and docstrings:
- def __init__(self, model_config): Initialization
- def forward(self, d, t, d_masking, t_masking): Double Towers | Implement the Python class `MolTransModel` described below.
Class description:
Interaction Module
Method signatures and docstrings:
- def __init__(self, model_config): Initialization
- def forward(self, d, t, d_masking, t_masking): Double Towers
<|skeleton|>
class MolTransModel:
"""Interaction Module"""
def... | e6ab0261eb719c21806bbadfd94001ecfe27de45 | <|skeleton|>
class MolTransModel:
"""Interaction Module"""
def __init__(self, model_config):
"""Initialization"""
<|body_0|>
def forward(self, d, t, d_masking, t_masking):
"""Double Towers"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MolTransModel:
"""Interaction Module"""
def __init__(self, model_config):
"""Initialization"""
super(MolTransModel, self).__init__()
self.model_config = model_config
self.drug_max_seq = model_config['drug_max_seq']
self.target_max_seq = model_config['target_max_seq... | the_stack_v2_python_sparse | apps/drug_target_interaction/moltrans_dti/double_towers.py | PaddlePaddle/PaddleHelix | train | 771 |
b4226dfc15781b27c1f62bdf7c72cd1392462a7b | [
"self.hass = hass\nself.bot = bot\nself.dispatcher = dispatcher\nself.trusted_networks = trusted_networks",
"real_ip = ip_address(request.remote)\nif not any((real_ip in net for net in self.trusted_networks)):\n _LOGGER.warning('Access denied from %s', real_ip)\n return self.json_message('Access denied', HT... | <|body_start_0|>
self.hass = hass
self.bot = bot
self.dispatcher = dispatcher
self.trusted_networks = trusted_networks
<|end_body_0|>
<|body_start_1|>
real_ip = ip_address(request.remote)
if not any((real_ip in net for net in self.trusted_networks)):
_LOGGER.... | View for handling webhook calls from Telegram. | PushBotView | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class PushBotView:
"""View for handling webhook calls from Telegram."""
def __init__(self, hass, bot, dispatcher, trusted_networks):
"""Initialize by storing stuff needed for setting up our webhook endpoint."""
<|body_0|>
async def post(self, request):
"""Accept the PO... | stack_v2_sparse_classes_36k_train_011155 | 5,021 | permissive | [
{
"docstring": "Initialize by storing stuff needed for setting up our webhook endpoint.",
"name": "__init__",
"signature": "def __init__(self, hass, bot, dispatcher, trusted_networks)"
},
{
"docstring": "Accept the POST from telegram.",
"name": "post",
"signature": "async def post(self, ... | 2 | null | Implement the Python class `PushBotView` described below.
Class description:
View for handling webhook calls from Telegram.
Method signatures and docstrings:
- def __init__(self, hass, bot, dispatcher, trusted_networks): Initialize by storing stuff needed for setting up our webhook endpoint.
- async def post(self, re... | Implement the Python class `PushBotView` described below.
Class description:
View for handling webhook calls from Telegram.
Method signatures and docstrings:
- def __init__(self, hass, bot, dispatcher, trusted_networks): Initialize by storing stuff needed for setting up our webhook endpoint.
- async def post(self, re... | 80caeafcb5b6e2f9da192d0ea6dd1a5b8244b743 | <|skeleton|>
class PushBotView:
"""View for handling webhook calls from Telegram."""
def __init__(self, hass, bot, dispatcher, trusted_networks):
"""Initialize by storing stuff needed for setting up our webhook endpoint."""
<|body_0|>
async def post(self, request):
"""Accept the PO... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class PushBotView:
"""View for handling webhook calls from Telegram."""
def __init__(self, hass, bot, dispatcher, trusted_networks):
"""Initialize by storing stuff needed for setting up our webhook endpoint."""
self.hass = hass
self.bot = bot
self.dispatcher = dispatcher
... | the_stack_v2_python_sparse | homeassistant/components/telegram_bot/webhooks.py | home-assistant/core | train | 35,501 |
0d65bdee099cfd21e80c837f14281944ebe55d3c | [
"cords = np.zeros((8, 4))\nextent = bbox.extent\ncords[0, :] = np.array([extent.x, extent.y, -extent.z, 1])\ncords[1, :] = np.array([-extent.x, extent.y, -extent.z, 1])\ncords[2, :] = np.array([-extent.x, -extent.y, -extent.z, 1])\ncords[3, :] = np.array([extent.x, -extent.y, -extent.z, 1])\ncords[4, :] = np.array(... | <|body_start_0|>
cords = np.zeros((8, 4))
extent = bbox.extent
cords[0, :] = np.array([extent.x, extent.y, -extent.z, 1])
cords[1, :] = np.array([-extent.x, extent.y, -extent.z, 1])
cords[2, :] = np.array([-extent.x, -extent.y, -extent.z, 1])
cords[3, :] = np.array([exten... | utility functions to handle carla bounding boxes | BboxUtils | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BboxUtils:
"""utility functions to handle carla bounding boxes"""
def get_3d_bb_points(bbox):
"""Returns 3D bounding box"""
<|body_0|>
def get_2d_bb_points(bbox):
"""Returns 3D bounding box"""
<|body_1|>
def get_matrix(transform):
"""Creates ... | stack_v2_sparse_classes_36k_train_011156 | 9,169 | no_license | [
{
"docstring": "Returns 3D bounding box",
"name": "get_3d_bb_points",
"signature": "def get_3d_bb_points(bbox)"
},
{
"docstring": "Returns 3D bounding box",
"name": "get_2d_bb_points",
"signature": "def get_2d_bb_points(bbox)"
},
{
"docstring": "Creates matrix from carla transfor... | 3 | stack_v2_sparse_classes_30k_train_001821 | Implement the Python class `BboxUtils` described below.
Class description:
utility functions to handle carla bounding boxes
Method signatures and docstrings:
- def get_3d_bb_points(bbox): Returns 3D bounding box
- def get_2d_bb_points(bbox): Returns 3D bounding box
- def get_matrix(transform): Creates matrix from car... | Implement the Python class `BboxUtils` described below.
Class description:
utility functions to handle carla bounding boxes
Method signatures and docstrings:
- def get_3d_bb_points(bbox): Returns 3D bounding box
- def get_2d_bb_points(bbox): Returns 3D bounding box
- def get_matrix(transform): Creates matrix from car... | d0db1c4124751e83ec8b121c8e3a9ccfc9cdf577 | <|skeleton|>
class BboxUtils:
"""utility functions to handle carla bounding boxes"""
def get_3d_bb_points(bbox):
"""Returns 3D bounding box"""
<|body_0|>
def get_2d_bb_points(bbox):
"""Returns 3D bounding box"""
<|body_1|>
def get_matrix(transform):
"""Creates ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BboxUtils:
"""utility functions to handle carla bounding boxes"""
def get_3d_bb_points(bbox):
"""Returns 3D bounding box"""
cords = np.zeros((8, 4))
extent = bbox.extent
cords[0, :] = np.array([extent.x, extent.y, -extent.z, 1])
cords[1, :] = np.array([-extent.x, e... | the_stack_v2_python_sparse | mapping/plane_map.py | mengxingshifen1218/Safe_Occlusion_Aware_Planning | train | 1 |
ad3e822a848fb09cb289c5f4a5df3359ac7a962e | [
"if self.request.method == 'GET':\n return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())\nelif self.request.method == 'POST':\n return (permissions.IsAuthenticated(),)\nelif self.request.method in ('PUT', 'PATCH'):\n return (permissions.IsAuthenticated(), IsInActiveCo... | <|body_start_0|>
if self.request.method == 'GET':
return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())
elif self.request.method == 'POST':
return (permissions.IsAuthenticated(),)
elif self.request.method in ('PUT', 'PATCH'):
... | Invitation view set | InvitationViewSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
<|body_0|>
def get_serializer_class(self):
"""Get serializer class"""
<|body_1|>
def list(self, request, *args, **kwargs):
"""List invitations"""
... | stack_v2_sparse_classes_36k_train_011157 | 27,778 | permissive | [
{
"docstring": "Get permissions",
"name": "get_permissions",
"signature": "def get_permissions(self)"
},
{
"docstring": "Get serializer class",
"name": "get_serializer_class",
"signature": "def get_serializer_class(self)"
},
{
"docstring": "List invitations",
"name": "list",
... | 5 | stack_v2_sparse_classes_30k_train_008492 | Implement the Python class `InvitationViewSet` described below.
Class description:
Invitation view set
Method signatures and docstrings:
- def get_permissions(self): Get permissions
- def get_serializer_class(self): Get serializer class
- def list(self, request, *args, **kwargs): List invitations
- def create(self, r... | Implement the Python class `InvitationViewSet` described below.
Class description:
Invitation view set
Method signatures and docstrings:
- def get_permissions(self): Get permissions
- def get_serializer_class(self): Get serializer class
- def list(self, request, *args, **kwargs): List invitations
- def create(self, r... | cf429f43251ad7e77c0d9bc9fe91bb030ca8bae8 | <|skeleton|>
class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
<|body_0|>
def get_serializer_class(self):
"""Get serializer class"""
<|body_1|>
def list(self, request, *args, **kwargs):
"""List invitations"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class InvitationViewSet:
"""Invitation view set"""
def get_permissions(self):
"""Get permissions"""
if self.request.method == 'GET':
return (permissions.IsAuthenticated(), IsInActiveCommunity(), IsAbleToRetrieveInvitation())
elif self.request.method == 'POST':
re... | the_stack_v2_python_sparse | membership/views.py | 810Teams/clubs-and-events-backend | train | 3 |
323825955fb97ddbf7cdc9664094623166c278d1 | [
"try:\n if not await get_data_from_req(self.request).analyses.has_right(analysis_id, self.request['client'], 'read'):\n raise InsufficientRights\nexcept ResourceNotFoundError:\n raise NotFound\nif_modified_since = self.request.headers.get('If-Modified-Since')\nif if_modified_since:\n if_modified_sin... | <|body_start_0|>
try:
if not await get_data_from_req(self.request).analyses.has_right(analysis_id, self.request['client'], 'read'):
raise InsufficientRights
except ResourceNotFoundError:
raise NotFound
if_modified_since = self.request.headers.get('If-Modif... | AnalysisView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AnalysisView:
async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r400 | r403 | r404:
"""Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successful operation 304: Not modified 400: Parent sample does not exist 403: Insufficient rights 404: Not fou... | stack_v2_sparse_classes_36k_train_011158 | 10,876 | permissive | [
{
"docstring": "Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successful operation 304: Not modified 400: Parent sample does not exist 403: Insufficient rights 404: Not found",
"name": "get",
"signature": "async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r40... | 2 | null | Implement the Python class `AnalysisView` described below.
Class description:
Implement the AnalysisView class.
Method signatures and docstrings:
- async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r400 | r403 | r404: Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successfu... | Implement the Python class `AnalysisView` described below.
Class description:
Implement the AnalysisView class.
Method signatures and docstrings:
- async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r400 | r403 | r404: Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successfu... | 1d17d2ba570cf5487e7514bec29250a5b368bb0a | <|skeleton|>
class AnalysisView:
async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r400 | r403 | r404:
"""Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successful operation 304: Not modified 400: Parent sample does not exist 403: Insufficient rights 404: Not fou... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AnalysisView:
async def get(self, analysis_id: str, /) -> r200[AnalysisResponse] | r400 | r403 | r404:
"""Get an analysis. Fetches the details of an analysis. Status Codes: 200: Successful operation 304: Not modified 400: Parent sample does not exist 403: Insufficient rights 404: Not found"""
... | the_stack_v2_python_sparse | virtool/analyses/api.py | virtool/virtool | train | 45 | |
cf754d1216bea6b69655063f4aac0330ba5d10a2 | [
"for member in [self.team2_admin, self.team2_member, self.common_member]:\n self.client.force_login(member)\n response = self.client.get(self.list_url)\n self.assertContains(response, 'Ratings for Category %s' % self.team2_category3.name, status_code=200)\n for rating in self.team2_category3.ratings.all... | <|body_start_0|>
for member in [self.team2_admin, self.team2_member, self.common_member]:
self.client.force_login(member)
response = self.client.get(self.list_url)
self.assertContains(response, 'Ratings for Category %s' % self.team2_category3.name, status_code=200)
... | Test RatingListView | RatingListViewTest | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RatingListViewTest:
"""Test RatingListView"""
def test_rating_list_member(self):
"""Assert that all the right ratings are listed for the team admin and regular members"""
<|body_0|>
def test_rating_list_nonmember(self):
"""Assert that non-members can not list rat... | stack_v2_sparse_classes_36k_train_011159 | 3,396 | permissive | [
{
"docstring": "Assert that all the right ratings are listed for the team admin and regular members",
"name": "test_rating_list_member",
"signature": "def test_rating_list_member(self)"
},
{
"docstring": "Assert that non-members can not list ratings",
"name": "test_rating_list_nonmember",
... | 2 | stack_v2_sparse_classes_30k_train_008518 | Implement the Python class `RatingListViewTest` described below.
Class description:
Test RatingListView
Method signatures and docstrings:
- def test_rating_list_member(self): Assert that all the right ratings are listed for the team admin and regular members
- def test_rating_list_nonmember(self): Assert that non-mem... | Implement the Python class `RatingListViewTest` described below.
Class description:
Test RatingListView
Method signatures and docstrings:
- def test_rating_list_member(self): Assert that all the right ratings are listed for the team admin and regular members
- def test_rating_list_nonmember(self): Assert that non-mem... | b3a61462d46d33de25fb96c029b2bd822001b669 | <|skeleton|>
class RatingListViewTest:
"""Test RatingListView"""
def test_rating_list_member(self):
"""Assert that all the right ratings are listed for the team admin and regular members"""
<|body_0|>
def test_rating_list_nonmember(self):
"""Assert that non-members can not list rat... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RatingListViewTest:
"""Test RatingListView"""
def test_rating_list_member(self):
"""Assert that all the right ratings are listed for the team admin and regular members"""
for member in [self.team2_admin, self.team2_member, self.common_member]:
self.client.force_login(member)
... | the_stack_v2_python_sparse | src/rating/tests.py | tykling/socialrating | train | 3 |
e2a2b656c2cb78b67b27fbd06e8ffede7fcd1dfd | [
"rights = access.Checker(params)\nrights['home'] = ['allow']\nnew_params = {}\nnew_params['rights'] = rights\nnew_params['extra_dynaexclude'] = ['home']\nnew_params['home_template'] = 'soc/presence/home.html'\nnew_params['create_extra_dynaproperties'] = {'clean_link_id': cleaning.clean_link_id('link_id'), 'clean_fe... | <|body_start_0|>
rights = access.Checker(params)
rights['home'] = ['allow']
new_params = {}
new_params['rights'] = rights
new_params['extra_dynaexclude'] = ['home']
new_params['home_template'] = 'soc/presence/home.html'
new_params['create_extra_dynaproperties'] = ... | View methods for the Presence model. | View | [
"BSD-3-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class View:
"""View methods for the Presence model."""
def __init__(self, params):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
<|body_0|>... | stack_v2_sparse_classes_36k_train_011160 | 6,113 | permissive | [
{
"docstring": "Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View",
"name": "__init__",
"signature": "def __init__(self, params)"
},
{
"docstring": "See base.View.... | 5 | null | Implement the Python class `View` described below.
Class description:
View methods for the Presence model.
Method signatures and docstrings:
- def __init__(self, params): Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: param... | Implement the Python class `View` described below.
Class description:
View methods for the Presence model.
Method signatures and docstrings:
- def __init__(self, params): Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: param... | 9bd45c168f8ddb5c0e6c04eacdcaeafd61908be7 | <|skeleton|>
class View:
"""View methods for the Presence model."""
def __init__(self, params):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
<|body_0|>... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class View:
"""View methods for the Presence model."""
def __init__(self, params):
"""Defines the fields and methods required for the base View class to provide the user with list, public, create, edit and delete views. Params: params: a dict with params for this View"""
rights = access.Checker... | the_stack_v2_python_sparse | app/soc/views/models/presence.py | pombredanne/Melange-1 | train | 0 |
aef4684aa0a78c136e357c62ad0a1623a244d660 | [
"with tables(db.engine, 'vcfs') as (con, runs):\n q = select(runs.c).where(runs.c.id == run_id)\n run = dict(_abort_if_none(q.execute().fetchone(), run_id))\nbams.attach_bams_to_vcfs([run])\nreturn run",
"with tables(db.engine, 'vcfs') as (con, runs):\n q = runs.update(runs.c.id == run_id).values(**reque... | <|body_start_0|>
with tables(db.engine, 'vcfs') as (con, runs):
q = select(runs.c).where(runs.c.id == run_id)
run = dict(_abort_if_none(q.execute().fetchone(), run_id))
bams.attach_bams_to_vcfs([run])
return run
<|end_body_0|>
<|body_start_1|>
with tables(db.engi... | Run | [
"Apache-2.0",
"CC-BY-3.0",
"CC-BY-4.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Run:
def get(self, run_id):
"""Return a vcf with a given ID."""
<|body_0|>
def put(self, run_id):
"""Update the run by its ID."""
<|body_1|>
def delete(self, run_id):
"""Delete a run by its ID."""
<|body_2|>
<|end_skeleton|>
<|body_star... | stack_v2_sparse_classes_36k_train_011161 | 7,342 | permissive | [
{
"docstring": "Return a vcf with a given ID.",
"name": "get",
"signature": "def get(self, run_id)"
},
{
"docstring": "Update the run by its ID.",
"name": "put",
"signature": "def put(self, run_id)"
},
{
"docstring": "Delete a run by its ID.",
"name": "delete",
"signature... | 3 | stack_v2_sparse_classes_30k_test_000517 | Implement the Python class `Run` described below.
Class description:
Implement the Run class.
Method signatures and docstrings:
- def get(self, run_id): Return a vcf with a given ID.
- def put(self, run_id): Update the run by its ID.
- def delete(self, run_id): Delete a run by its ID. | Implement the Python class `Run` described below.
Class description:
Implement the Run class.
Method signatures and docstrings:
- def get(self, run_id): Return a vcf with a given ID.
- def put(self, run_id): Update the run by its ID.
- def delete(self, run_id): Delete a run by its ID.
<|skeleton|>
class Run:
de... | a436c4fc212e4429fb5196a9a4d36c37bd050c52 | <|skeleton|>
class Run:
def get(self, run_id):
"""Return a vcf with a given ID."""
<|body_0|>
def put(self, run_id):
"""Update the run by its ID."""
<|body_1|>
def delete(self, run_id):
"""Delete a run by its ID."""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Run:
def get(self, run_id):
"""Return a vcf with a given ID."""
with tables(db.engine, 'vcfs') as (con, runs):
q = select(runs.c).where(runs.c.id == run_id)
run = dict(_abort_if_none(q.execute().fetchone(), run_id))
bams.attach_bams_to_vcfs([run])
return... | the_stack_v2_python_sparse | cycledash/api/runs.py | haoziyeung/cycledash | train | 0 | |
118b13c4003ef41be67e7cf52bdc626f68c07633 | [
"xy = numpy.insert(x, 0, values=y, axis=1)\ndf = pandas.DataFrame.from_records(xy)\ncolumns = ['y']\ncolumns_x = ['x' + str(i) for i in range(x.shape[1])]\ncolumns.extend(columns_x)\ndf.columns = columns\ndf.to_excel(path)",
"columns = ['x' + str(i) for i in range(x.shape[1])]\ndf = pandas.DataFrame.from_records(... | <|body_start_0|>
xy = numpy.insert(x, 0, values=y, axis=1)
df = pandas.DataFrame.from_records(xy)
columns = ['y']
columns_x = ['x' + str(i) for i in range(x.shape[1])]
columns.extend(columns_x)
df.columns = columns
df.to_excel(path)
<|end_body_0|>
<|body_start_1|... | ExcelTool | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExcelTool:
def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx'):
""":param self: :param x: :param y: :param path: 输出excel路径 :return:"""
<|body_0|>
def saveX2Excel(x, path='SALP_PREDICT_DATA.xlsx'):
"""存储预测数据集 :param x: :param path: :return:"""
<|body_1|>
... | stack_v2_sparse_classes_36k_train_011162 | 1,144 | no_license | [
{
"docstring": ":param self: :param x: :param y: :param path: 输出excel路径 :return:",
"name": "saveXY2Excel",
"signature": "def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx')"
},
{
"docstring": "存储预测数据集 :param x: :param path: :return:",
"name": "saveX2Excel",
"signature": "def saveX2Excel(... | 3 | stack_v2_sparse_classes_30k_train_019941 | Implement the Python class `ExcelTool` described below.
Class description:
Implement the ExcelTool class.
Method signatures and docstrings:
- def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx'): :param self: :param x: :param y: :param path: 输出excel路径 :return:
- def saveX2Excel(x, path='SALP_PREDICT_DATA.xlsx'): 存储预测数... | Implement the Python class `ExcelTool` described below.
Class description:
Implement the ExcelTool class.
Method signatures and docstrings:
- def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx'): :param self: :param x: :param y: :param path: 输出excel路径 :return:
- def saveX2Excel(x, path='SALP_PREDICT_DATA.xlsx'): 存储预测数... | 69b740332eaaecac553a4cc74c3e25f2af6889ac | <|skeleton|>
class ExcelTool:
def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx'):
""":param self: :param x: :param y: :param path: 输出excel路径 :return:"""
<|body_0|>
def saveX2Excel(x, path='SALP_PREDICT_DATA.xlsx'):
"""存储预测数据集 :param x: :param path: :return:"""
<|body_1|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExcelTool:
def saveXY2Excel(x, y, path='SALP_TRAIN_DATA.xlsx'):
""":param self: :param x: :param y: :param path: 输出excel路径 :return:"""
xy = numpy.insert(x, 0, values=y, axis=1)
df = pandas.DataFrame.from_records(xy)
columns = ['y']
columns_x = ['x' + str(i) for i in ran... | the_stack_v2_python_sparse | data/excelTools.py | 9DemonFox/simpleLearning | train | 9 | |
b8b90be5e51c7791e44f73ac4a3aa20ab9adc52f | [
"found = False\nrows, columns = (len(array), len(array[0]))\nif array and rows > 0 and (columns > 0):\n for row in range(rows):\n for column in range(columns):\n if array[row][column] == target:\n found = True\nreturn found",
"found = False\nrows = len(array)\ncolumns = len(arr... | <|body_start_0|>
found = False
rows, columns = (len(array), len(array[0]))
if array and rows > 0 and (columns > 0):
for row in range(rows):
for column in range(columns):
if array[row][column] == target:
found = True
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def Find(self, target, array):
"""简单粗暴，二层遍历，时间不是最优"""
<|body_0|>
def Find2(self, target, array):
"""从右上角开始判断"""
<|body_1|>
def Find3(self, target, array):
"""从左下角开始判断"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>
fou... | stack_v2_sparse_classes_36k_train_011163 | 2,217 | no_license | [
{
"docstring": "简单粗暴，二层遍历，时间不是最优",
"name": "Find",
"signature": "def Find(self, target, array)"
},
{
"docstring": "从右上角开始判断",
"name": "Find2",
"signature": "def Find2(self, target, array)"
},
{
"docstring": "从左下角开始判断",
"name": "Find3",
"signature": "def Find3(self, target... | 3 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def Find(self, target, array): 简单粗暴，二层遍历，时间不是最优
- def Find2(self, target, array): 从右上角开始判断
- def Find3(self, target, array): 从左下角开始判断 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def Find(self, target, array): 简单粗暴，二层遍历，时间不是最优
- def Find2(self, target, array): 从右上角开始判断
- def Find3(self, target, array): 从左下角开始判断
<|skeleton|>
class Solution:
def Find(... | 060e809175cff96e91c694b93417c0c1d21719f0 | <|skeleton|>
class Solution:
def Find(self, target, array):
"""简单粗暴，二层遍历，时间不是最优"""
<|body_0|>
def Find2(self, target, array):
"""从右上角开始判断"""
<|body_1|>
def Find3(self, target, array):
"""从左下角开始判断"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def Find(self, target, array):
"""简单粗暴，二层遍历，时间不是最优"""
found = False
rows, columns = (len(array), len(array[0]))
if array and rows > 0 and (columns > 0):
for row in range(rows):
for column in range(columns):
if array[row]... | the_stack_v2_python_sparse | ProgrammingOJ/CodingInterviewOffer_nowcoder_python/04_FindInPartiallySortedMatrix.py | PandoraLS/CodingInterview | train | 2 | |
99f061aa214cc4993a3a1e02c0805a6f6c3bf848 | [
"session = Session()\ntry:\n organization = session.query(Organization).get(organization_code)\n if organization is None:\n raise falcon.HTTPNotFound()\n query = session.query(OrganizationITAsset).join(ITAsset).filter(OrganizationITAsset.organization_id == organization_code).order_by(ITAsset.name, O... | <|body_start_0|>
session = Session()
try:
organization = session.query(Organization).get(organization_code)
if organization is None:
raise falcon.HTTPNotFound()
query = session.query(OrganizationITAsset).join(ITAsset).filter(OrganizationITAsset.organiz... | GET and POST IT assets of an organization. | Collection | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Collection:
"""GET and POST IT assets of an organization."""
def on_get(self, req, resp, organization_code):
"""GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentation. :param organization_c... | stack_v2_sparse_classes_36k_train_011164 | 9,295 | no_license | [
{
"docstring": "GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentation. :param organization_code: The code of the organization.",
"name": "on_get",
"signature": "def on_get(self, req, resp, organization_code)"... | 2 | stack_v2_sparse_classes_30k_train_008032 | Implement the Python class `Collection` described below.
Class description:
GET and POST IT assets of an organization.
Method signatures and docstrings:
- def on_get(self, req, resp, organization_code): GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp:... | Implement the Python class `Collection` described below.
Class description:
GET and POST IT assets of an organization.
Method signatures and docstrings:
- def on_get(self, req, resp, organization_code): GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp:... | 62723133595829230e5b589431a32cda3b092460 | <|skeleton|>
class Collection:
"""GET and POST IT assets of an organization."""
def on_get(self, req, resp, organization_code):
"""GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentation. :param organization_c... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Collection:
"""GET and POST IT assets of an organization."""
def on_get(self, req, resp, organization_code):
"""GETs a paged collection of IT assets of an organization. :param req: See Falcon Request documentation. :param resp: See Falcon Response documentation. :param organization_code: The code... | the_stack_v2_python_sparse | knoweak/api/resources/organization_it_asset.py | psvaiter/knoweak-api | train | 0 |
db2c5312beb5bbae00b5c9b4ad44ef4c3c80e458 | [
"try:\n return User.objects.get(pk=user_pk)\nexcept User.DoesNotExist:\n raise Http404",
"user = self.get_object(pk)\nresponse = UserHeavySerializer(user)\nreturn Response(response.data, status=status.HTTP_200_OK)",
"user = self.get_object(pk)\nresponse = self.serializer(user, data=request.data)\nif respo... | <|body_start_0|>
try:
return User.objects.get(pk=user_pk)
except User.DoesNotExist:
raise Http404
<|end_body_0|>
<|body_start_1|>
user = self.get_object(pk)
response = UserHeavySerializer(user)
return Response(response.data, status=status.HTTP_200_OK)
<|e... | ... | UserDetailView | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserDetailView:
"""..."""
def get_object(user_pk):
"""hello"""
<|body_0|>
def get(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_1|>
def put(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_2|>
... | stack_v2_sparse_classes_36k_train_011165 | 4,540 | permissive | [
{
"docstring": "hello",
"name": "get_object",
"signature": "def get_object(user_pk)"
},
{
"docstring": "...",
"name": "get",
"signature": "def get(self, request, pk: Union[int, str], format=None)"
},
{
"docstring": "...",
"name": "put",
"signature": "def put(self, request... | 4 | stack_v2_sparse_classes_30k_test_001107 | Implement the Python class `UserDetailView` described below.
Class description:
...
Method signatures and docstrings:
- def get_object(user_pk): hello
- def get(self, request, pk: Union[int, str], format=None): ...
- def put(self, request, pk: Union[int, str], format=None): ...
- def delete(self, request, pk: Union[i... | Implement the Python class `UserDetailView` described below.
Class description:
...
Method signatures and docstrings:
- def get_object(user_pk): hello
- def get(self, request, pk: Union[int, str], format=None): ...
- def put(self, request, pk: Union[int, str], format=None): ...
- def delete(self, request, pk: Union[i... | 9c7f82a3fdaa7a8f2f34062d8803b4f33f8c07b7 | <|skeleton|>
class UserDetailView:
"""..."""
def get_object(user_pk):
"""hello"""
<|body_0|>
def get(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_1|>
def put(self, request, pk: Union[int, str], format=None):
"""..."""
<|body_2|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserDetailView:
"""..."""
def get_object(user_pk):
"""hello"""
try:
return User.objects.get(pk=user_pk)
except User.DoesNotExist:
raise Http404
def get(self, request, pk: Union[int, str], format=None):
"""..."""
user = self.get_object(p... | the_stack_v2_python_sparse | apps/user/views/vuser.py | magocod/dj_chat | train | 2 |
a090617359a136aa0503563c73521ad0fb859e10 | [
"self.lr = lr\nself.use_target = use_target\nself.target_update_every = target_update_every\nself.print_error = print_error\nself.print_error_every = print_error_every\nself.Q = self._create_net(input_size, action_size, num_layers, num_hidden_per_layer)\nself.QTarget = self._create_net(input_size, action_size, num_... | <|body_start_0|>
self.lr = lr
self.use_target = use_target
self.target_update_every = target_update_every
self.print_error = print_error
self.print_error_every = print_error_every
self.Q = self._create_net(input_size, action_size, num_layers, num_hidden_per_layer)
... | Deep QLearning Agent class for playing with it | DeepQLearningAgent | [
"Unlicense"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DeepQLearningAgent:
"""Deep QLearning Agent class for playing with it"""
def __init__(self, input_size: int, action_size: int, num_layers: int=3, num_hidden_per_layer: int=256, epsilon: float=0.01, lr: float=0.01, gamma: float=0.9, use_target: bool=True, target_update_every: int=100, print_e... | stack_v2_sparse_classes_36k_train_011166 | 6,466 | permissive | [
{
"docstring": "Initializer of the `DeepQLearningAgent` :param input_size: The input size of the model :param action_size: The action size to choose from :param num_layers: The number of layers of the model :param num_hidden_per_layer: The number of hidden layer per layer for the model :param epsilon: ??? :para... | 5 | stack_v2_sparse_classes_30k_train_020591 | Implement the Python class `DeepQLearningAgent` described below.
Class description:
Deep QLearning Agent class for playing with it
Method signatures and docstrings:
- def __init__(self, input_size: int, action_size: int, num_layers: int=3, num_hidden_per_layer: int=256, epsilon: float=0.01, lr: float=0.01, gamma: flo... | Implement the Python class `DeepQLearningAgent` described below.
Class description:
Deep QLearning Agent class for playing with it
Method signatures and docstrings:
- def __init__(self, input_size: int, action_size: int, num_layers: int=3, num_hidden_per_layer: int=256, epsilon: float=0.01, lr: float=0.01, gamma: flo... | 0b7e73f462b1b95fc0d47534fcebb6c2e7c3b045 | <|skeleton|>
class DeepQLearningAgent:
"""Deep QLearning Agent class for playing with it"""
def __init__(self, input_size: int, action_size: int, num_layers: int=3, num_hidden_per_layer: int=256, epsilon: float=0.01, lr: float=0.01, gamma: float=0.9, use_target: bool=True, target_update_every: int=100, print_e... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DeepQLearningAgent:
"""Deep QLearning Agent class for playing with it"""
def __init__(self, input_size: int, action_size: int, num_layers: int=3, num_hidden_per_layer: int=256, epsilon: float=0.01, lr: float=0.01, gamma: float=0.9, use_target: bool=True, target_update_every: int=100, print_error: bool=Tr... | the_stack_v2_python_sparse | reinforcement_ecosystem/agents/DeepQLearningAgent.py | fuldev/DL_project_5ibd | train | 0 |
805bfbf43cf1efe8510ae0c42617b37696836059 | [
"for clean, _ in self.file_list:\n proc = subprocess.Popen(['../mat-cli', '-d', clean], stdout=subprocess.PIPE)\n stdout, _ = proc.communicate()\n self.assertEqual(stdout.strip('\\n'), '[+] File %s :\\nNo harmful meta found' % clean)",
"for _, dirty in self.file_list:\n proc = subprocess.Popen(['../ma... | <|body_start_0|>
for clean, _ in self.file_list:
proc = subprocess.Popen(['../mat-cli', '-d', clean], stdout=subprocess.PIPE)
stdout, _ = proc.communicate()
self.assertEqual(stdout.strip('\n'), '[+] File %s :\nNo harmful meta found' % clean)
<|end_body_0|>
<|body_start_1|>
... | test if cli correctly display metadatas | TestListcli | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestListcli:
"""test if cli correctly display metadatas"""
def test_list_clean(self):
"""check if get_meta returns meta"""
<|body_0|>
def test_list_dirty(self):
"""check if get_meta returns all the expected meta"""
<|body_1|>
<|end_skeleton|>
<|body_sta... | stack_v2_sparse_classes_36k_train_011167 | 2,739 | no_license | [
{
"docstring": "check if get_meta returns meta",
"name": "test_list_clean",
"signature": "def test_list_clean(self)"
},
{
"docstring": "check if get_meta returns all the expected meta",
"name": "test_list_dirty",
"signature": "def test_list_dirty(self)"
}
] | 2 | null | Implement the Python class `TestListcli` described below.
Class description:
test if cli correctly display metadatas
Method signatures and docstrings:
- def test_list_clean(self): check if get_meta returns meta
- def test_list_dirty(self): check if get_meta returns all the expected meta | Implement the Python class `TestListcli` described below.
Class description:
test if cli correctly display metadatas
Method signatures and docstrings:
- def test_list_clean(self): check if get_meta returns meta
- def test_list_dirty(self): check if get_meta returns all the expected meta
<|skeleton|>
class TestListcl... | e67b23fc4eb3e50b722a28336f93163946912bac | <|skeleton|>
class TestListcli:
"""test if cli correctly display metadatas"""
def test_list_clean(self):
"""check if get_meta returns meta"""
<|body_0|>
def test_list_dirty(self):
"""check if get_meta returns all the expected meta"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestListcli:
"""test if cli correctly display metadatas"""
def test_list_clean(self):
"""check if get_meta returns meta"""
for clean, _ in self.file_list:
proc = subprocess.Popen(['../mat-cli', '-d', clean], stdout=subprocess.PIPE)
stdout, _ = proc.communicate()
... | the_stack_v2_python_sparse | data/python/46.py | devsagul/HanabiHack | train | 0 |
e1e0734dd753998d9eedd57d9bc36bb566ebaf94 | [
"if not head:\n return []\nhead = self.reverseLinkedList(head)\nlst = []\nwhile head:\n lst.append(head.val)\n head = head.next\nreturn lst",
"if not head or not head.next:\n return head\npre = None\nwhile head:\n current = head\n head = head.next\n current.next = pre\n pre = current\nretu... | <|body_start_0|>
if not head:
return []
head = self.reverseLinkedList(head)
lst = []
while head:
lst.append(head.val)
head = head.next
return lst
<|end_body_0|>
<|body_start_1|>
if not head or not head.next:
return head
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def reversePrint(self, head):
""":type head: ListNode :rtype: List[int]"""
<|body_0|>
def reverseLinkedList(self, head):
""":param head: :return:"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
if not head:
return []
he... | stack_v2_sparse_classes_36k_train_011168 | 1,036 | no_license | [
{
"docstring": ":type head: ListNode :rtype: List[int]",
"name": "reversePrint",
"signature": "def reversePrint(self, head)"
},
{
"docstring": ":param head: :return:",
"name": "reverseLinkedList",
"signature": "def reverseLinkedList(self, head)"
}
] | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reversePrint(self, head): :type head: ListNode :rtype: List[int]
- def reverseLinkedList(self, head): :param head: :return: | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def reversePrint(self, head): :type head: ListNode :rtype: List[int]
- def reverseLinkedList(self, head): :param head: :return:
<|skeleton|>
class Solution:
def reversePrin... | a75310a96d2b165b15d5ee10ec409a17cdc880ba | <|skeleton|>
class Solution:
def reversePrint(self, head):
""":type head: ListNode :rtype: List[int]"""
<|body_0|>
def reverseLinkedList(self, head):
""":param head: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def reversePrint(self, head):
""":type head: ListNode :rtype: List[int]"""
if not head:
return []
head = self.reverseLinkedList(head)
lst = []
while head:
lst.append(head.val)
head = head.next
return lst
def rev... | the_stack_v2_python_sparse | leetcode/offer/code/6.py | skyxyz-lang/CS_Note | train | 0 | |
17d6169090f2bcd7b73f08bb21894e3c940a14ee | [
"nodes_gpu = max(1, int(ceil(ngpus / cls.gpus_per_node)))\nnodes_cpu = max(1, int(ceil(ncpus / cls.cores_per_node)))\nif nodes_gpu >= nodes_cpu:\n check_utilization(nodes_gpu, ngpus, cls.gpus_per_node, threshold, 'compute')\n return nodes_gpu\ncheck_utilization(nodes_cpu, ncpus, cls.cores_per_node, threshold,... | <|body_start_0|>
nodes_gpu = max(1, int(ceil(ngpus / cls.gpus_per_node)))
nodes_cpu = max(1, int(ceil(ncpus / cls.cores_per_node)))
if nodes_gpu >= nodes_cpu:
check_utilization(nodes_gpu, ngpus, cls.gpus_per_node, threshold, 'compute')
return nodes_gpu
check_utili... | Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html | CrusherEnvironment | [
"BSD-3-Clause"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CrusherEnvironment:
"""Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html"""
def calc_num_nodes(cls, ngpus, ncpus, threshold):
"""Compute the number of nodes needed to meet the resource request. Also raise an error whe... | stack_v2_sparse_classes_36k_train_011169 | 10,994 | permissive | [
{
"docstring": "Compute the number of nodes needed to meet the resource request. Also raise an error when the requested resource do not come close to saturating the asked for nodes.",
"name": "calc_num_nodes",
"signature": "def calc_num_nodes(cls, ngpus, ncpus, threshold)"
},
{
"docstring": "Get... | 2 | stack_v2_sparse_classes_30k_train_020427 | Implement the Python class `CrusherEnvironment` described below.
Class description:
Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html
Method signatures and docstrings:
- def calc_num_nodes(cls, ngpus, ncpus, threshold): Compute the number of nodes nee... | Implement the Python class `CrusherEnvironment` described below.
Class description:
Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html
Method signatures and docstrings:
- def calc_num_nodes(cls, ngpus, ncpus, threshold): Compute the number of nodes nee... | 845865c5f34135243ac21800495c46c915662c64 | <|skeleton|>
class CrusherEnvironment:
"""Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html"""
def calc_num_nodes(cls, ngpus, ncpus, threshold):
"""Compute the number of nodes needed to meet the resource request. Also raise an error whe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CrusherEnvironment:
"""Environment profile for the Cluster supercomputer. https://docs.olcf.ornl.gov/systems/crusher_quick_start_guide.html"""
def calc_num_nodes(cls, ngpus, ncpus, threshold):
"""Compute the number of nodes needed to meet the resource request. Also raise an error when the request... | the_stack_v2_python_sparse | flow/environments/incite.py | glotzerlab/signac-flow | train | 54 |
14c4bc9375274d83f0d9cdd9799505ba24934674 | [
"assert isinstance(output_size, (int, tuple))\nassert isinstance(return_tensor, bool)\nassert isinstance(channel_first, bool)\nself.output_size = output_size\nself.return_tensor = return_tensor\nself.channel_first = channel_first\nself.rescale_transform = BatchResize(output_size=self.output_size, return_tensor=self... | <|body_start_0|>
assert isinstance(output_size, (int, tuple))
assert isinstance(return_tensor, bool)
assert isinstance(channel_first, bool)
self.output_size = output_size
self.return_tensor = return_tensor
self.channel_first = channel_first
self.rescale_transform ... | Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation. | BatchResizeNormalize | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class BatchResizeNormalize:
"""Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation."""
def __init__(self, output_size, return_tensor=True, channel_first=True):
"""Instantiates a new BatchResizeNormalize object. Parameters ---... | stack_v2_sparse_classes_36k_train_011170 | 14,169 | no_license | [
{
"docstring": "Instantiates a new BatchResizeNormalize object. Parameters ---------- output_size : int or tuple The output size of the image (height and width). If an integer is passed as input, then the output size of the image is determined by scaling the height and width of the original image. return_tensor... | 2 | stack_v2_sparse_classes_30k_train_011953 | Implement the Python class `BatchResizeNormalize` described below.
Class description:
Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation.
Method signatures and docstrings:
- def __init__(self, output_size, return_tensor=True, channel_first=True): Insta... | Implement the Python class `BatchResizeNormalize` described below.
Class description:
Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation.
Method signatures and docstrings:
- def __init__(self, output_size, return_tensor=True, channel_first=True): Insta... | a7c30481822ecb945e3ff6ad184d104361a40ed1 | <|skeleton|>
class BatchResizeNormalize:
"""Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation."""
def __init__(self, output_size, return_tensor=True, channel_first=True):
"""Instantiates a new BatchResizeNormalize object. Parameters ---... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class BatchResizeNormalize:
"""Resizes and normalizes the color channels, for a collection of images, to have zero mean and unit standard deviation."""
def __init__(self, output_size, return_tensor=True, channel_first=True):
"""Instantiates a new BatchResizeNormalize object. Parameters ---------- outpu... | the_stack_v2_python_sparse | cheapfake/contrib/transforms.py | hu-simon/cheapfake | train | 0 |
2fe0e8334b63126b2babb56f528f4b2233c8d4ad | [
"raw_value = read_value_from_path(value)\nargs: Dict[str, str] = {}\nif '@' in raw_value:\n args['region'], raw_value = raw_value.split('@', 1)\nmatches = re.findall('([0-9a-zA-z_-]+:[^\\\\s$]+)', raw_value)\nfor match in matches:\n k, v = match.split(':', 1)\n args[k] = v\nreturn (args.pop('name_regex'), ... | <|body_start_0|>
raw_value = read_value_from_path(value)
args: Dict[str, str] = {}
if '@' in raw_value:
args['region'], raw_value = raw_value.split('@', 1)
matches = re.findall('([0-9a-zA-z_-]+:[^\\s$]+)', raw_value)
for match in matches:
k, v = match.spli... | AMI lookup. | AmiLookup | [
"BSD-2-Clause",
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class AmiLookup:
"""AMI lookup."""
def parse(cls, value: str) -> Tuple[str, Dict[str, str]]:
"""Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value passed to a lookup. Returns: The lookup query and a dict ... | stack_v2_sparse_classes_36k_train_011171 | 4,479 | permissive | [
{
"docstring": "Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value passed to a lookup. Returns: The lookup query and a dict of arguments",
"name": "parse",
"signature": "def parse(cls, value: str) -> Tuple[str, Dict[st... | 2 | stack_v2_sparse_classes_30k_train_018359 | Implement the Python class `AmiLookup` described below.
Class description:
AMI lookup.
Method signatures and docstrings:
- def parse(cls, value: str) -> Tuple[str, Dict[str, str]]: Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value ... | Implement the Python class `AmiLookup` described below.
Class description:
AMI lookup.
Method signatures and docstrings:
- def parse(cls, value: str) -> Tuple[str, Dict[str, str]]: Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value ... | 0763b06aee07d2cf3f037a49ca0cb81a048c5deb | <|skeleton|>
class AmiLookup:
"""AMI lookup."""
def parse(cls, value: str) -> Tuple[str, Dict[str, str]]:
"""Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value passed to a lookup. Returns: The lookup query and a dict ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class AmiLookup:
"""AMI lookup."""
def parse(cls, value: str) -> Tuple[str, Dict[str, str]]:
"""Parse the value passed to the lookup. This overrides the default parsing to account for special requirements. Args: value: The raw value passed to a lookup. Returns: The lookup query and a dict of arguments"... | the_stack_v2_python_sparse | runway/cfngin/lookups/handlers/ami.py | onicagroup/runway | train | 156 |
84ebbd65944f2b754ddeb282dce41adfe8035703 | [
"found_dna = set()\nrtn_dna = set()\ntmp = s[0:10]\nfound_dna.add(tmp)\nfor i in range(10, len(s)):\n tmp = tmp[1:] + s[i]\n if tmp in found_dna:\n rtn_dna.add(tmp)\n else:\n found_dna.add(tmp)\nreturn list(rtn_dna)",
"if s == None or len(s) < 10:\n return []\ntmp = 0\nbase_num = 3\nfor ... | <|body_start_0|>
found_dna = set()
rtn_dna = set()
tmp = s[0:10]
found_dna.add(tmp)
for i in range(10, len(s)):
tmp = tmp[1:] + s[i]
if tmp in found_dna:
rtn_dna.add(tmp)
else:
found_dna.add(tmp)
return l... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def findRepeatedDnaSequencesOld(self, s):
""":type s: str :rtype: List[str]"""
<|body_0|>
def findRepeatedDnaSequences(self, s):
""":type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
found_dna = set()
rt... | stack_v2_sparse_classes_36k_train_011172 | 1,661 | no_license | [
{
"docstring": ":type s: str :rtype: List[str]",
"name": "findRepeatedDnaSequencesOld",
"signature": "def findRepeatedDnaSequencesOld(self, s)"
},
{
"docstring": ":type s: str :rtype: List[str]",
"name": "findRepeatedDnaSequences",
"signature": "def findRepeatedDnaSequences(self, s)"
}... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findRepeatedDnaSequencesOld(self, s): :type s: str :rtype: List[str]
- def findRepeatedDnaSequences(self, s): :type s: str :rtype: List[str] | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def findRepeatedDnaSequencesOld(self, s): :type s: str :rtype: List[str]
- def findRepeatedDnaSequences(self, s): :type s: str :rtype: List[str]
<|skeleton|>
class Solution:
... | 196e58cd38db846653fb074cfd0363997121a7cf | <|skeleton|>
class Solution:
def findRepeatedDnaSequencesOld(self, s):
""":type s: str :rtype: List[str]"""
<|body_0|>
def findRepeatedDnaSequences(self, s):
""":type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def findRepeatedDnaSequencesOld(self, s):
""":type s: str :rtype: List[str]"""
found_dna = set()
rtn_dna = set()
tmp = s[0:10]
found_dna.add(tmp)
for i in range(10, len(s)):
tmp = tmp[1:] + s[i]
if tmp in found_dna:
... | the_stack_v2_python_sparse | Repeated DNA Sequences.py | nithinveer/leetcode-solutions | train | 0 | |
b95b07a6a7f342f8e5be17d0c8cebdfdeee59ba3 | [
"self.lonpole = lonpole\nlatpoler = latpole * dtor\nself.coslatpole = math.cos(latpoler)\nself.sinlatpole = math.sin(latpoler)\nif nPoleGridLon is None:\n self.polerotate = polerotate\nelse:\n self.polerotate = lonpole - nPoleGridLon + 180.0\nself.lonMin = lonMin\nself.lonMax = lonMin + 360.0",
"lonpole = s... | <|body_start_0|>
self.lonpole = lonpole
latpoler = latpole * dtor
self.coslatpole = math.cos(latpoler)
self.sinlatpole = math.sin(latpoler)
if nPoleGridLon is None:
self.polerotate = polerotate
else:
self.polerotate = lonpole - nPoleGridLon + 180.0... | Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods. | Rotgrid | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Rotgrid:
"""Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods."""
def __init__(self, lonpole, latpole, polerotate=0, nPoleGridLon=None, lonMin=-180.0):
"""Set up rotated grid for transformations. Inputs: lonpole, latpole: longitude (degrees) an... | stack_v2_sparse_classes_36k_train_011173 | 6,762 | no_license | [
{
"docstring": "Set up rotated grid for transformations. Inputs: lonpole, latpole: longitude (degrees) and latitude (degrees) of the pole of the rotated grid, as seen in the non-rotated grid polerotate: optional input -- by default, the calculation assumes that the rotated grid is singly rotated, i.e. that the ... | 2 | null | Implement the Python class `Rotgrid` described below.
Class description:
Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods.
Method signatures and docstrings:
- def __init__(self, lonpole, latpole, polerotate=0, nPoleGridLon=None, lonMin=-180.0): Set up rotated grid for transfor... | Implement the Python class `Rotgrid` described below.
Class description:
Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods.
Method signatures and docstrings:
- def __init__(self, lonpole, latpole, polerotate=0, nPoleGridLon=None, lonMin=-180.0): Set up rotated grid for transfor... | 790ad1aa7e7a8c6593a21ee53b2c946b2f7a356b | <|skeleton|>
class Rotgrid:
"""Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods."""
def __init__(self, lonpole, latpole, polerotate=0, nPoleGridLon=None, lonMin=-180.0):
"""Set up rotated grid for transformations. Inputs: lonpole, latpole: longitude (degrees) an... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Rotgrid:
"""Rotated grid class. For more info, see doc strings for '__init__' and 'transform' methods."""
def __init__(self, lonpole, latpole, polerotate=0, nPoleGridLon=None, lonMin=-180.0):
"""Set up rotated grid for transformations. Inputs: lonpole, latpole: longitude (degrees) and latitude (d... | the_stack_v2_python_sparse | utils/u_rotgrid.py | cornkle/proj_CEH | train | 2 |
aed51c9f1c5ad2be2cac83529724a579f0a641b1 | [
"super(Bass, self).__init__(classes=classes)\nassert out_channels_in_block1 % nb == 0, 'Number of output channels for the first block must be divisible by the number of convolutional blocks.'\nself.dtype = self.__class__.check_dtype(dtype=dtype)\nself._nb = nb\nself._batch_size = batch_size\nself._block2 = torch.nn... | <|body_start_0|>
super(Bass, self).__init__(classes=classes)
assert out_channels_in_block1 % nb == 0, 'Number of output channels for the first block must be divisible by the number of convolutional blocks.'
self.dtype = self.__class__.check_dtype(dtype=dtype)
self._nb = nb
self._... | Bass | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Bass:
def __init__(self, classes: int, nb: int, in_channels_in_block1: int, out_channels_in_block1: int, neighborhood_size: int, batch_size: int, dtype: str, lr=0.0005):
"""BASS model. (Configuration 4). Cost function: CrossEntropyLoss. Optimizer: Adam, (lr=0.0005). :param classes: Numbe... | stack_v2_sparse_classes_36k_train_011174 | 3,883 | permissive | [
{
"docstring": "BASS model. (Configuration 4). Cost function: CrossEntropyLoss. Optimizer: Adam, (lr=0.0005). :param classes: Number of classes. :param nb: Number of convolutional blocks. :param in_channels_in_block1: Number of input channels for first block of the network. :param out_channels_in_block1: Number... | 2 | null | Implement the Python class `Bass` described below.
Class description:
Implement the Bass class.
Method signatures and docstrings:
- def __init__(self, classes: int, nb: int, in_channels_in_block1: int, out_channels_in_block1: int, neighborhood_size: int, batch_size: int, dtype: str, lr=0.0005): BASS model. (Configura... | Implement the Python class `Bass` described below.
Class description:
Implement the Bass class.
Method signatures and docstrings:
- def __init__(self, classes: int, nb: int, in_channels_in_block1: int, out_channels_in_block1: int, neighborhood_size: int, batch_size: int, dtype: str, lr=0.0005): BASS model. (Configura... | b33f7893d3dfcbbc2c10076fb61b2b1f1316402a | <|skeleton|>
class Bass:
def __init__(self, classes: int, nb: int, in_channels_in_block1: int, out_channels_in_block1: int, neighborhood_size: int, batch_size: int, dtype: str, lr=0.0005):
"""BASS model. (Configuration 4). Cost function: CrossEntropyLoss. Optimizer: Adam, (lr=0.0005). :param classes: Numbe... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Bass:
def __init__(self, classes: int, nb: int, in_channels_in_block1: int, out_channels_in_block1: int, neighborhood_size: int, batch_size: int, dtype: str, lr=0.0005):
"""BASS model. (Configuration 4). Cost function: CrossEntropyLoss. Optimizer: Adam, (lr=0.0005). :param classes: Number of classes. ... | the_stack_v2_python_sparse | python_research/experiments/sota_models/bass/bass.py | ESA-PhiLab/hypernet | train | 44 | |
69fa6a58db728757d94cfa402293a227b838258b | [
"if not grid:\n return 0\ntotal = 0\nr_size = len(grid)\nc_size = len(grid[0])\nr_limit = [0] * r_size\nc_limit = [0] * c_size\nfor r in range(r_size):\n for c in range(c_size):\n height = grid[r][c]\n r_limit[r] = max(r_limit[r], height)\n c_limit[c] = max(c_limit[c], height)\nfor r in r... | <|body_start_0|>
if not grid:
return 0
total = 0
r_size = len(grid)
c_size = len(grid[0])
r_limit = [0] * r_size
c_limit = [0] * c_size
for r in range(r_size):
for c in range(c_size):
height = grid[r][c]
r_li... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def maxIncreaseKeepingSkyline(self, grid):
"""More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those limits. Time: O(n^2) Space: O(n) :type grid: List[List[int]] :rtype: int"""
<|body_0|>
... | stack_v2_sparse_classes_36k_train_011175 | 1,397 | no_license | [
{
"docstring": "More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those limits. Time: O(n^2) Space: O(n) :type grid: List[List[int]] :rtype: int",
"name": "maxIncreaseKeepingSkyline",
"signature": "def maxIncreaseKeepingSkyli... | 2 | stack_v2_sparse_classes_30k_train_004874 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxIncreaseKeepingSkyline(self, grid): More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those ... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def maxIncreaseKeepingSkyline(self, grid): More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those ... | c14d8829c95f61ff6691816e8c0de76b9319f389 | <|skeleton|>
class Solution:
def maxIncreaseKeepingSkyline(self, grid):
"""More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those limits. Time: O(n^2) Space: O(n) :type grid: List[List[int]] :rtype: int"""
<|body_0|>
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def maxIncreaseKeepingSkyline(self, grid):
"""More readable version. Find the tallest building height for each row and column, then increase the heights of other buildings to those limits. Time: O(n^2) Space: O(n) :type grid: List[List[int]] :rtype: int"""
if not grid:
re... | the_stack_v2_python_sparse | medium/max-increase-to-keep-city-skyline/solution.py | hsuanhauliu/leetcode-solutions | train | 0 | |
570063b5fe19abc96070a1826721ae87c626059c | [
"super().__init__()\nnout_new = nout - nin\nself.eesp = EESP(nin, nout_new, stride=2, k=k, r_lim=r_lim, down_method='avg')\nself.avg = nn.AvgPool2d(kernel_size=3, padding=1, stride=2)\nif reinf:\n self.inp_reinf = nn.Sequential(CBR(config_inp_reinf, config_inp_reinf, 3, 1), CB(config_inp_reinf, nout, 1, 1))\nsel... | <|body_start_0|>
super().__init__()
nout_new = nout - nin
self.eesp = EESP(nin, nout_new, stride=2, k=k, r_lim=r_lim, down_method='avg')
self.avg = nn.AvgPool2d(kernel_size=3, padding=1, stride=2)
if reinf:
self.inp_reinf = nn.Sequential(CBR(config_inp_reinf, config_i... | Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to produce the final output. | DownSampler | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DownSampler:
"""Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to produce the final output."""
def __i... | stack_v2_sparse_classes_36k_train_011176 | 12,060 | permissive | [
{
"docstring": ":param nin: number of input channels :param nout: number of output channels :param k: # of parallel branches :param r_lim: A maximum value of receptive field allowed for EESP block :param g: number of groups to be used in the feature map reduction step.",
"name": "__init__",
"signature":... | 2 | null | Implement the Python class `DownSampler` described below.
Class description:
Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to pr... | Implement the Python class `DownSampler` described below.
Class description:
Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to pr... | 0721cbbb278af027409ed4c115ccc743b6daed1b | <|skeleton|>
class DownSampler:
"""Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to produce the final output."""
def __i... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DownSampler:
"""Down-sampling fucntion that has two parallel branches: (1) avg pooling and (2) EESP block with stride of 2. The output feature maps of these branches are then concatenated and thresholded using an activation function (PReLU in our case) to produce the final output."""
def __init__(self, n... | the_stack_v2_python_sparse | deepclustering/arch/segmentation/epsnetv2/Model.py | jizongFox/deep-clustering-toolbox | train | 37 |
3f6b63bc362bd06e0292996757533b79a1716961 | [
"for proj in conf.get('appengine.projects', []):\n if fnmatch(branch_name, proj['branch']):\n proj = dict(proj)\n proj.pop('branch')\n proj['deployables'] = list(frozenset(itertools.chain(conf.get('appengine.deployables', []), proj.get('deployables', []))))\n return cls(**proj)\nretur... | <|body_start_0|>
for proj in conf.get('appengine.projects', []):
if fnmatch(branch_name, proj['branch']):
proj = dict(proj)
proj.pop('branch')
proj['deployables'] = list(frozenset(itertools.chain(conf.get('appengine.deployables', []), proj.get('deploya... | Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory. | GaeApp | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class GaeApp:
"""Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory."""
def for_branch(cls, branch_name: str) -> Optio... | stack_v2_sparse_classes_36k_train_011177 | 7,507 | permissive | [
{
"docstring": "Return app configuration for the given branch. This will look for the configuration in the ``appengine.projects`` config variable. Args: branch_name (str): The name of the branch we want the configuration for. Returns: Optional[GaeApp]: The `GaeApp` instance with the configuration for the projec... | 3 | stack_v2_sparse_classes_30k_train_021301 | Implement the Python class `GaeApp` described below.
Class description:
Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory.
Method signatu... | Implement the Python class `GaeApp` described below.
Class description:
Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory.
Method signatu... | 3b4242ace18e73eb0298b4a7a677425f5eac6a68 | <|skeleton|>
class GaeApp:
"""Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory."""
def for_branch(cls, branch_name: str) -> Optio... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class GaeApp:
"""Represents an AppEngine app. Attributes: app_id (str): AppEngine project ID. version (str): AppEngine project version. deployables (list[str]): List of YAML files to deploy. Defaults to all yaml files in the project root directory."""
def for_branch(cls, branch_name: str) -> Optional['GaeApp']... | the_stack_v2_python_sparse | plugins/_old/peltak_appengine/logic.py | novopl/peltak | train | 7 |
516fd9315e65bf427e2f9826f8d43297d388fb22 | [
"self.config = Configuration.from_filepath()\nif name is None or name not in self.config.get_values_strategy():\n raise Exception(\"La Strategie {NOM} n'existe pas\".format(NOM=name))\nself.name = name",
"if self.name.strip() == 'DEV':\n return StrategieDev()\nelse:\n raise ValueError('Strategie non-pris... | <|body_start_0|>
self.config = Configuration.from_filepath()
if name is None or name not in self.config.get_values_strategy():
raise Exception("La Strategie {NOM} n'existe pas".format(NOM=name))
self.name = name
<|end_body_0|>
<|body_start_1|>
if self.name.strip() == 'DEV':
... | Classe permttant d'initialiser les Strategies | StgyFactory | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
<|body_0|>
def make(self):
"""Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration"""
... | stack_v2_sparse_classes_36k_train_011178 | 1,138 | permissive | [
{
"docstring": "Initialisation Objet",
"name": "__init__",
"signature": "def __init__(self, name=None)"
},
{
"docstring": "Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration",
"name": "make",
"signature": "def make(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_004537 | Implement the Python class `StgyFactory` described below.
Class description:
Classe permttant d'initialiser les Strategies
Method signatures and docstrings:
- def __init__(self, name=None): Initialisation Objet
- def make(self): Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier... | Implement the Python class `StgyFactory` described below.
Class description:
Classe permttant d'initialiser les Strategies
Method signatures and docstrings:
- def __init__(self, name=None): Initialisation Objet
- def make(self): Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier... | fa0af604752d7a3905f988b9164eb24c0d2cc8d2 | <|skeleton|>
class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
<|body_0|>
def make(self):
"""Créez et renvoyez une instance de la classe Strategy telle que configurée dans le fichier de configuration"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class StgyFactory:
"""Classe permttant d'initialiser les Strategies"""
def __init__(self, name=None):
"""Initialisation Objet"""
self.config = Configuration.from_filepath()
if name is None or name not in self.config.get_values_strategy():
raise Exception("La Strategie {NOM} ... | the_stack_v2_python_sparse | src/lib/strategie/factory.py | Ileouleyuki/MyTradingBot | train | 0 |
f76383172df6a097b474bbc0ba83fbe7101dbc45 | [
"for flow, args in [('ListDirectory', {'pathspec': rdfvalue.PathSpec(pathtype=rdfvalue.PathSpec.PathType.REGISTRY, path=self.reg_path)}), ('FindFiles', {'findspec': rdfvalue.FindSpec(pathspec=rdfvalue.PathSpec(path=self.reg_path, pathtype=rdfvalue.PathSpec.PathType.REGISTRY), path_regex='ProfileImagePath'), 'output... | <|body_start_0|>
for flow, args in [('ListDirectory', {'pathspec': rdfvalue.PathSpec(pathtype=rdfvalue.PathSpec.PathType.REGISTRY, path=self.reg_path)}), ('FindFiles', {'findspec': rdfvalue.FindSpec(pathspec=rdfvalue.PathSpec(path=self.reg_path, pathtype=rdfvalue.PathSpec.PathType.REGISTRY), path_regex='Profile... | Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now because it needs to run two flows and defines its own runTest to do so. We should support... | TestFindWindowsRegistry | [
"Apache-2.0",
"DOC"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TestFindWindowsRegistry:
"""Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now because it needs to run two flows and ... | stack_v2_sparse_classes_36k_train_011179 | 3,412 | permissive | [
{
"docstring": "Launch our flows.",
"name": "runTest",
"signature": "def runTest(self)"
},
{
"docstring": "Check that all profiles listed have an ProfileImagePath.",
"name": "CheckFlow",
"signature": "def CheckFlow(self)"
}
] | 2 | null | Implement the Python class `TestFindWindowsRegistry` described below.
Class description:
Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now... | Implement the Python class `TestFindWindowsRegistry` described below.
Class description:
Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now... | ba1648b97a76f844ffb8e1891cc9e2680f9b1c6e | <|skeleton|>
class TestFindWindowsRegistry:
"""Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now because it needs to run two flows and ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TestFindWindowsRegistry:
"""Test that user listing from the registry works. We basically list the registry and then run Find on the same place, we expect a single ProfileImagePath value for each user. TODO(user): this is excluded from automated tests for now because it needs to run two flows and defines its o... | the_stack_v2_python_sparse | endtoend_tests/registry.py | defaultnamehere/grr | train | 3 |
dfdfa68417d9f47f51319862aca75b714a3ad0cf | [
"self._use_layer_norm_att = use_layer_norm_att\nself._use_layer_norm_ffn = use_layer_norm_ffn\nself._use_spec_norm_att = use_spec_norm_att\nself._use_spec_norm_ffn = use_spec_norm_ffn\nself._spec_norm_kwargs = spec_norm_kwargs\nfeedforward_cls = functools.partial(SpectralNormalizedFeedforwardLayer, use_layer_norm=s... | <|body_start_0|>
self._use_layer_norm_att = use_layer_norm_att
self._use_layer_norm_ffn = use_layer_norm_ffn
self._use_spec_norm_att = use_spec_norm_att
self._use_spec_norm_ffn = use_spec_norm_ffn
self._spec_norm_kwargs = spec_norm_kwargs
feedforward_cls = functools.parti... | Transformer layer with spectral-normalized dense layers. | SpectralNormalizedTransformer | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SpectralNormalizedTransformer:
"""Transformer layer with spectral-normalized dense layers."""
def __init__(self, use_layer_norm_att: bool=True, use_layer_norm_ffn: bool=True, use_spec_norm_att: bool=False, use_spec_norm_ffn: bool=False, spec_norm_kwargs: Optional[Mapping[str, Any]]=None, **k... | stack_v2_sparse_classes_36k_train_011180 | 24,406 | permissive | [
{
"docstring": "Initializer. Args: use_layer_norm_att: Whether to use layer normalization in the attention layer. use_layer_norm_ffn: Whether to use layer normalization in the feedforward layer. use_spec_norm_att: Whether to use spectral normalization in the attention layer. use_spec_norm_ffn: Whether to use sp... | 2 | null | Implement the Python class `SpectralNormalizedTransformer` described below.
Class description:
Transformer layer with spectral-normalized dense layers.
Method signatures and docstrings:
- def __init__(self, use_layer_norm_att: bool=True, use_layer_norm_ffn: bool=True, use_spec_norm_att: bool=False, use_spec_norm_ffn:... | Implement the Python class `SpectralNormalizedTransformer` described below.
Class description:
Transformer layer with spectral-normalized dense layers.
Method signatures and docstrings:
- def __init__(self, use_layer_norm_att: bool=True, use_layer_norm_ffn: bool=True, use_spec_norm_att: bool=False, use_spec_norm_ffn:... | f5f6f50f82bd441339c9d9efbef3f09e72c5fef6 | <|skeleton|>
class SpectralNormalizedTransformer:
"""Transformer layer with spectral-normalized dense layers."""
def __init__(self, use_layer_norm_att: bool=True, use_layer_norm_ffn: bool=True, use_spec_norm_att: bool=False, use_spec_norm_ffn: bool=False, spec_norm_kwargs: Optional[Mapping[str, Any]]=None, **k... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SpectralNormalizedTransformer:
"""Transformer layer with spectral-normalized dense layers."""
def __init__(self, use_layer_norm_att: bool=True, use_layer_norm_ffn: bool=True, use_spec_norm_att: bool=False, use_spec_norm_ffn: bool=False, spec_norm_kwargs: Optional[Mapping[str, Any]]=None, **kwargs):
... | the_stack_v2_python_sparse | uncertainty_baselines/models/bert_sngp.py | google/uncertainty-baselines | train | 1,235 |
5c46a7fb9d88039f0ffaed65f60968f64d0c6618 | [
"login_mothod(self, 'admin123', '12345678')\nself.assertTitle('慕课网在线')\nprint('登录成功！')",
"self.login()\nself.click(BaseEle.link_teachers)\nself.click('link_text=>全部')\nele = self.driver.find_elements_by_xpath(BaseEle.list_teacher)\nl = []\nnum = len(ele)\nfor i in range(0, num):\n print(i)\n l.append(ele[i]... | <|body_start_0|>
login_mothod(self, 'admin123', '12345678')
self.assertTitle('慕课网在线')
print('登录成功！')
<|end_body_0|>
<|body_start_1|>
self.login()
self.click(BaseEle.link_teachers)
self.click('link_text=>全部')
ele = self.driver.find_elements_by_xpath(BaseEle.list_t... | 课程详情检查， 涉及到机构的，延迟 | TeacherList | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class TeacherList:
"""课程详情检查， 涉及到机构的，延迟"""
def login(self):
"""baidu search key : pyse"""
<|body_0|>
def test_sort_addtime(self):
"""默认排序"""
<|body_1|>
def test_sort_clicknums(self):
"""默认人气"""
<|body_2|>
<|end_skeleton|>
<|body_start_0|>... | stack_v2_sparse_classes_36k_train_011181 | 2,148 | no_license | [
{
"docstring": "baidu search key : pyse",
"name": "login",
"signature": "def login(self)"
},
{
"docstring": "默认排序",
"name": "test_sort_addtime",
"signature": "def test_sort_addtime(self)"
},
{
"docstring": "默认人气",
"name": "test_sort_clicknums",
"signature": "def test_sort... | 3 | stack_v2_sparse_classes_30k_train_010658 | Implement the Python class `TeacherList` described below.
Class description:
课程详情检查， 涉及到机构的，延迟
Method signatures and docstrings:
- def login(self): baidu search key : pyse
- def test_sort_addtime(self): 默认排序
- def test_sort_clicknums(self): 默认人气 | Implement the Python class `TeacherList` described below.
Class description:
课程详情检查， 涉及到机构的，延迟
Method signatures and docstrings:
- def login(self): baidu search key : pyse
- def test_sort_addtime(self): 默认排序
- def test_sort_clicknums(self): 默认人气
<|skeleton|>
class TeacherList:
"""课程详情检查， 涉及到机构的，延迟"""
def lo... | b8db5dc4acf995286b9275ec2f25284d64961184 | <|skeleton|>
class TeacherList:
"""课程详情检查， 涉及到机构的，延迟"""
def login(self):
"""baidu search key : pyse"""
<|body_0|>
def test_sort_addtime(self):
"""默认排序"""
<|body_1|>
def test_sort_clicknums(self):
"""默认人气"""
<|body_2|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class TeacherList:
"""课程详情检查， 涉及到机构的，延迟"""
def login(self):
"""baidu search key : pyse"""
login_mothod(self, 'admin123', '12345678')
self.assertTitle('慕课网在线')
print('登录成功！')
def test_sort_addtime(self):
"""默认排序"""
self.login()
self.click(BaseEle.link... | the_stack_v2_python_sparse | src/mxonline/easy/test_teacher_list.py | hi-cbh/seleniumDemo | train | 0 |
34ed1bc0519bccb84c46ebe7848e5726a209f6bd | [
"q = p1.clone()\nq.x += t * (p2.x - p1.x)\nq.y += t * (p2.y - p1.y)\nreturn q",
"a = MyTrinaryFractal.a\nq1 = MyTrinaryFractal.pointOnLineBetween(p0, p1, -a)\nq2 = MyTrinaryFractal.pointOnLineBetween(p0, p2, -a)\nreturn (p0, q1, q2)"
] | <|body_start_0|>
q = p1.clone()
q.x += t * (p2.x - p1.x)
q.y += t * (p2.y - p1.y)
return q
<|end_body_0|>
<|body_start_1|>
a = MyTrinaryFractal.a
q1 = MyTrinaryFractal.pointOnLineBetween(p0, p1, -a)
q2 = MyTrinaryFractal.pointOnLineBetween(p0, p2, -a)
ret... | MyTrinaryFractal | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyTrinaryFractal:
def pointOnLineBetween(p1, p2, t):
"""Returns a point p1+t(p2-p1)."""
<|body_0|>
def expandTriangleByCorner(p0, p1, p2):
"""This should take a triangle and expand a corners with another triangle, scaled by a factor a."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k_train_011182 | 3,813 | no_license | [
{
"docstring": "Returns a point p1+t(p2-p1).",
"name": "pointOnLineBetween",
"signature": "def pointOnLineBetween(p1, p2, t)"
},
{
"docstring": "This should take a triangle and expand a corners with another triangle, scaled by a factor a.",
"name": "expandTriangleByCorner",
"signature": ... | 2 | null | Implement the Python class `MyTrinaryFractal` described below.
Class description:
Implement the MyTrinaryFractal class.
Method signatures and docstrings:
- def pointOnLineBetween(p1, p2, t): Returns a point p1+t(p2-p1).
- def expandTriangleByCorner(p0, p1, p2): This should take a triangle and expand a corners with an... | Implement the Python class `MyTrinaryFractal` described below.
Class description:
Implement the MyTrinaryFractal class.
Method signatures and docstrings:
- def pointOnLineBetween(p1, p2, t): Returns a point p1+t(p2-p1).
- def expandTriangleByCorner(p0, p1, p2): This should take a triangle and expand a corners with an... | a6b69775a2b4c9fe9b7d00881630209b16e9b111 | <|skeleton|>
class MyTrinaryFractal:
def pointOnLineBetween(p1, p2, t):
"""Returns a point p1+t(p2-p1)."""
<|body_0|>
def expandTriangleByCorner(p0, p1, p2):
"""This should take a triangle and expand a corners with another triangle, scaled by a factor a."""
<|body_1|>
<|end_sk... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyTrinaryFractal:
def pointOnLineBetween(p1, p2, t):
"""Returns a point p1+t(p2-p1)."""
q = p1.clone()
q.x += t * (p2.x - p1.x)
q.y += t * (p2.y - p1.y)
return q
def expandTriangleByCorner(p0, p1, p2):
"""This should take a triangle and expand a corners wit... | the_stack_v2_python_sparse | graphicstest2-fraktal.py | s-tefan/python-exercises | train | 0 | |
d1f920c4b734e4d8ec7287cb65df9bb3491375a7 | [
"mes = {'message': 'success'}\ncli = mongo_db.get_client()\ncol = mongo_db.get_conn(table_name=cls.get_table_name(), db_client=cli)\nwith cli.start_session(causal_consistency=True) as session:\n with session.start_transaction():\n f = {'phone': phone}\n r = col.find_one(filter=f, session=session)\n... | <|body_start_0|>
mes = {'message': 'success'}
cli = mongo_db.get_client()
col = mongo_db.get_conn(table_name=cls.get_table_name(), db_client=cli)
with cli.start_session(causal_consistency=True) as session:
with session.start_transaction():
f = {'phone': phone}... | UserInfo | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserInfo:
def register(cls, phone: str, password: str) -> dict:
"""注册 :param phone: :param password: :return:"""
<|body_0|>
def login(cls, phone: str, password: str) -> dict:
"""登录 :param phone: :param password: :return:"""
<|body_1|>
<|end_skeleton|>
<|bod... | stack_v2_sparse_classes_36k_train_011183 | 3,012 | no_license | [
{
"docstring": "注册 :param phone: :param password: :return:",
"name": "register",
"signature": "def register(cls, phone: str, password: str) -> dict"
},
{
"docstring": "登录 :param phone: :param password: :return:",
"name": "login",
"signature": "def login(cls, phone: str, password: str) ->... | 2 | stack_v2_sparse_classes_30k_train_004710 | Implement the Python class `UserInfo` described below.
Class description:
Implement the UserInfo class.
Method signatures and docstrings:
- def register(cls, phone: str, password: str) -> dict: 注册 :param phone: :param password: :return:
- def login(cls, phone: str, password: str) -> dict: 登录 :param phone: :param pass... | Implement the Python class `UserInfo` described below.
Class description:
Implement the UserInfo class.
Method signatures and docstrings:
- def register(cls, phone: str, password: str) -> dict: 注册 :param phone: :param password: :return:
- def login(cls, phone: str, password: str) -> dict: 登录 :param phone: :param pass... | 3a2bdfd1598bfcdfe56386ec0c46fcede772cbfe | <|skeleton|>
class UserInfo:
def register(cls, phone: str, password: str) -> dict:
"""注册 :param phone: :param password: :return:"""
<|body_0|>
def login(cls, phone: str, password: str) -> dict:
"""登录 :param phone: :param password: :return:"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserInfo:
def register(cls, phone: str, password: str) -> dict:
"""注册 :param phone: :param password: :return:"""
mes = {'message': 'success'}
cli = mongo_db.get_client()
col = mongo_db.get_conn(table_name=cls.get_table_name(), db_client=cli)
with cli.start_session(causa... | the_stack_v2_python_sparse | BiH_site/module/user_module.py | SYYDSN/py_projects | train | 0 | |
5fd84ee1516a9cee0ef615fcf765a694833c913f | [
"self.count = 0\nself.index = []\nself.elem = dict()",
"if val not in self.elem:\n self.elem[val] = self.count\n self.index.append(val)\n self.count += 1\n return True\nelse:\n return False",
"if val not in self.elem:\n return False\nelse:\n ind = self.elem[val]\n self.elem.pop(val)\n ... | <|body_start_0|>
self.count = 0
self.index = []
self.elem = dict()
<|end_body_0|>
<|body_start_1|>
if val not in self.elem:
self.elem[val] = self.count
self.index.append(val)
self.count += 1
return True
else:
return Fal... | RandomizedSet | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the specified element."""
<|body_1|>
def remove(se... | stack_v2_sparse_classes_36k_train_011184 | 1,538 | permissive | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "Inserts a value to the set. Returns true if the set did not already contain the specified element.",
"name": "insert",
"signature": "def insert(self, val: int) ... | 4 | stack_v2_sparse_classes_30k_train_004759 | Implement the Python class `RandomizedSet` described below.
Class description:
Implement the RandomizedSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, val: int) -> bool: Inserts a value to the set. Returns true if the set did not already conta... | Implement the Python class `RandomizedSet` described below.
Class description:
Implement the RandomizedSet class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def insert(self, val: int) -> bool: Inserts a value to the set. Returns true if the set did not already conta... | 84c229eaf5a2e617ca00cabed04dd76d508d60b8 | <|skeleton|>
class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the specified element."""
<|body_1|>
def remove(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class RandomizedSet:
def __init__(self):
"""Initialize your data structure here."""
self.count = 0
self.index = []
self.elem = dict()
def insert(self, val: int) -> bool:
"""Inserts a value to the set. Returns true if the set did not already contain the specified element.... | the_stack_v2_python_sparse | Code/py3/380.常数时间插入、删除和获取随机元素.py | ApocalypseMac/LeetCode | train | 1 | |
f020b6a2454831d5e24333952fea63f9bba16c89 | [
"super(MLP, self).__init__()\nself.input_layer = torch.nn.Linear(D_inp, D_hid)\nself.hidden_layer = torch.nn.Linear(D_hid, D_hid)\nself.output_layer = torch.nn.Linear(D_hid, D_out)\nself.layers = layers\nself.sigmoid = torch.nn.Sigmoid()\nself.x_scale = x_scale.cuda() if use_cuda else x_scale\nself.y_scale = y_scal... | <|body_start_0|>
super(MLP, self).__init__()
self.input_layer = torch.nn.Linear(D_inp, D_hid)
self.hidden_layer = torch.nn.Linear(D_hid, D_hid)
self.output_layer = torch.nn.Linear(D_hid, D_out)
self.layers = layers
self.sigmoid = torch.nn.Sigmoid()
self.x_scale = ... | MLP | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MLP:
def __init__(self, D_inp, D_hid, D_out, layers, x_scale, y_scale):
"""Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all hidden layers D_out: Dimension of the output layer layers: The total amount of layers (2 mea... | stack_v2_sparse_classes_36k_train_011185 | 9,067 | permissive | [
{
"docstring": "Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all hidden layers D_out: Dimension of the output layer layers: The total amount of layers (2 means 1 hidden layer) x_scale: The maximum values for all input variables y_scale: The... | 3 | stack_v2_sparse_classes_30k_train_016416 | Implement the Python class `MLP` described below.
Class description:
Implement the MLP class.
Method signatures and docstrings:
- def __init__(self, D_inp, D_hid, D_out, layers, x_scale, y_scale): Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all ... | Implement the Python class `MLP` described below.
Class description:
Implement the MLP class.
Method signatures and docstrings:
- def __init__(self, D_inp, D_hid, D_out, layers, x_scale, y_scale): Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all ... | 257441138ebcce3928f100f28e58d9d5a7221d8a | <|skeleton|>
class MLP:
def __init__(self, D_inp, D_hid, D_out, layers, x_scale, y_scale):
"""Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all hidden layers D_out: Dimension of the output layer layers: The total amount of layers (2 mea... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MLP:
def __init__(self, D_inp, D_hid, D_out, layers, x_scale, y_scale):
"""Multilayer Perceptron with a variable amount of layers Args: D_inp: Dimension of the input layer D_hid: Dimension of all hidden layers D_out: Dimension of the output layer layers: The total amount of layers (2 means 1 hidden la... | the_stack_v2_python_sparse | mlp.py | joramwessels/torcs-client | train | 2 | |
d78ded9245649e3ba3019fc5702ec13f7a7e5c21 | [
"parser = reqparse.RequestParser()\nparser.add_argument('old_password', type=inputs.regex('^[0-9a-zA-Z\\\\_\\\\.\\\\!\\\\@\\\\#\\\\$\\\\%\\\\^\\\\&\\\\*]{6,20}$'), required=True, location='form')\nparser.add_argument('new_password', type=inputs.regex('^[0-9a-zA-Z\\\\_\\\\.\\\\!\\\\@\\\\#\\\\$\\\\%\\\\^\\\\&\\\\*]{6... | <|body_start_0|>
parser = reqparse.RequestParser()
parser.add_argument('old_password', type=inputs.regex('^[0-9a-zA-Z\\_\\.\\!\\@\\#\\$\\%\\^\\&\\*]{6,20}$'), required=True, location='form')
parser.add_argument('new_password', type=inputs.regex('^[0-9a-zA-Z\\_\\.\\!\\@\\#\\$\\%\\^\\&\\*]{6,20}$'... | UserPassword | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class UserPassword:
def patch(self):
"""change password"""
<|body_0|>
def put(self):
"""reset password"""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
parser = reqparse.RequestParser()
parser.add_argument('old_password', type=inputs.regex('^[0-9a-... | stack_v2_sparse_classes_36k_train_011186 | 17,895 | permissive | [
{
"docstring": "change password",
"name": "patch",
"signature": "def patch(self)"
},
{
"docstring": "reset password",
"name": "put",
"signature": "def put(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_010871 | Implement the Python class `UserPassword` described below.
Class description:
Implement the UserPassword class.
Method signatures and docstrings:
- def patch(self): change password
- def put(self): reset password | Implement the Python class `UserPassword` described below.
Class description:
Implement the UserPassword class.
Method signatures and docstrings:
- def patch(self): change password
- def put(self): reset password
<|skeleton|>
class UserPassword:
def patch(self):
"""change password"""
<|body_0|>
... | fb1e88eccee1140d215ef8f1f789f215b1b3c2cf | <|skeleton|>
class UserPassword:
def patch(self):
"""change password"""
<|body_0|>
def put(self):
"""reset password"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class UserPassword:
def patch(self):
"""change password"""
parser = reqparse.RequestParser()
parser.add_argument('old_password', type=inputs.regex('^[0-9a-zA-Z\\_\\.\\!\\@\\#\\$\\%\\^\\&\\*]{6,20}$'), required=True, location='form')
parser.add_argument('new_password', type=inputs.reg... | the_stack_v2_python_sparse | app/v2/user.py | shanhezhao/flask_douban_moive_web | train | 0 | |
fc41ac5dcf67b67ef7ff676a857b0707655ba648 | [
"if what == None and values == None:\n raise RuntimeWarning('Test convergence is set to ecutwfc')\n self.what = 'ecutwfc'\n self.values = np.arange(20, 80, 10)\nself.pwinput = pwinput\nself.what = what\nself.values = values\nself.Ndata = len(values)\nself.energies = None\nself.prefixInp = prefixInp\nself.p... | <|body_start_0|>
if what == None and values == None:
raise RuntimeWarning('Test convergence is set to ecutwfc')
self.what = 'ecutwfc'
self.values = np.arange(20, 80, 10)
self.pwinput = pwinput
self.what = what
self.values = values
self.Ndata = ... | A class for doing 1D convergence test. | ConvergenceTest | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
<|body_0|>
def run(self):
"""one-time run"""
... | stack_v2_sparse_classes_36k_train_011187 | 26,022 | no_license | [
{
"docstring": "`what` can be one of ecutwfc, kpts `values`",
"name": "__init__",
"signature": "def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_')"
},
{
"docstring": "one-time run",
"name": "run",
"signature": "def run(self)"
},
{
"do... | 4 | stack_v2_sparse_classes_30k_train_006710 | Implement the Python class `ConvergenceTest` described below.
Class description:
A class for doing 1D convergence test.
Method signatures and docstrings:
- def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'): `what` can be one of ecutwfc, kpts `values`
- def run(self): one... | Implement the Python class `ConvergenceTest` described below.
Class description:
A class for doing 1D convergence test.
Method signatures and docstrings:
- def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'): `what` can be one of ecutwfc, kpts `values`
- def run(self): one... | c173a8fd90134120e3e1fedddf4babeee8aed74e | <|skeleton|>
class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
<|body_0|>
def run(self):
"""one-time run"""
... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ConvergenceTest:
"""A class for doing 1D convergence test."""
def __init__(self, pwinput, what=None, values=None, prefixInp='TEMP_PWINPUT_', prefixOut='LOG_'):
"""`what` can be one of ecutwfc, kpts `values`"""
if what == None and values == None:
raise RuntimeWarning('Test conv... | the_stack_v2_python_sparse | python_modules/qeManager_PWSCF.py | f-fathurrahman/IntroKomputasiMaterial | train | 0 |
fe18fcdeb64e94cf39cc7d7cfa85a11099ef9987 | [
"if not root:\n return 0\nleft_height, right_height = (Solution.get_depth_recur(root.left), Solution.get_depth_recur(root.right))\nif left_height == right_height:\n return (1 << left_height) + self.countNodes(root.right)\nelse:\n return (1 << right_height) + self.countNodes(root.left)",
"height = 0\nwhil... | <|body_start_0|>
if not root:
return 0
left_height, right_height = (Solution.get_depth_recur(root.left), Solution.get_depth_recur(root.right))
if left_height == right_height:
return (1 << left_height) + self.countNodes(root.right)
else:
return (1 << ri... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def countNodes(self, root: TreeNode) -> int:
""":param root: input tree :return: number of nodes in tree"""
<|body_0|>
def get_depth_recur(self, root: TreeNode) -> int:
"""Get the height of a tree recursively :param root: the input tree :return: height of t... | stack_v2_sparse_classes_36k_train_011188 | 1,511 | no_license | [
{
"docstring": ":param root: input tree :return: number of nodes in tree",
"name": "countNodes",
"signature": "def countNodes(self, root: TreeNode) -> int"
},
{
"docstring": "Get the height of a tree recursively :param root: the input tree :return: height of the tree",
"name": "get_depth_rec... | 3 | stack_v2_sparse_classes_30k_train_009739 | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root: TreeNode) -> int: :param root: input tree :return: number of nodes in tree
- def get_depth_recur(self, root: TreeNode) -> int: Get the height of a tree... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def countNodes(self, root: TreeNode) -> int: :param root: input tree :return: number of nodes in tree
- def get_depth_recur(self, root: TreeNode) -> int: Get the height of a tree... | 9fc527fa8cfebc1bffd2310e8a1a61229a17b7d8 | <|skeleton|>
class Solution:
def countNodes(self, root: TreeNode) -> int:
""":param root: input tree :return: number of nodes in tree"""
<|body_0|>
def get_depth_recur(self, root: TreeNode) -> int:
"""Get the height of a tree recursively :param root: the input tree :return: height of t... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def countNodes(self, root: TreeNode) -> int:
""":param root: input tree :return: number of nodes in tree"""
if not root:
return 0
left_height, right_height = (Solution.get_depth_recur(root.left), Solution.get_depth_recur(root.right))
if left_height == righ... | the_stack_v2_python_sparse | 222/222_version2.py | RunhuaGao/LeetCode | train | 0 | |
8f44a0a412fe1eb563b8fb996417ddc0e5be6cfa | [
"if unmatched_thres > matched_thres:\n raise ValueError('unmatched_thres must be <= matched_thres.')\nif unmatched_thres == matched_thres and (not negatives_lower_than_unmatched):\n raise ValueError('unmatched_thres must be < matche_thres, when negatives are in between them, got {} and {}.'.format(unmatched_t... | <|body_start_0|>
if unmatched_thres > matched_thres:
raise ValueError('unmatched_thres must be <= matched_thres.')
if unmatched_thres == matched_thres and (not negatives_lower_than_unmatched):
raise ValueError('unmatched_thres must be < matche_thres, when negatives are in between... | Picks the row index that maximizes the column. | ArgMaxMatcher | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ArgMaxMatcher:
"""Picks the row index that maximizes the column."""
def __init__(self, matched_thres, unmatched_thres, negatives_lower_than_unmatched=True, force_match_for_each_row=False):
"""Constructor. Args: matched_thres: float scalar between 0 and 1, threshold for positive match... | stack_v2_sparse_classes_36k_train_011189 | 11,746 | no_license | [
{
"docstring": "Constructor. Args: matched_thres: float scalar between 0 and 1, threshold for positive match. unmatched_thres: float scalar between 0 and 1, threshold for negative match. Must be no greater than `matched_thres`. negatives_lower_than_unmatched: bool scalar, whether to consider those below `unmatc... | 2 | stack_v2_sparse_classes_30k_train_008852 | Implement the Python class `ArgMaxMatcher` described below.
Class description:
Picks the row index that maximizes the column.
Method signatures and docstrings:
- def __init__(self, matched_thres, unmatched_thres, negatives_lower_than_unmatched=True, force_match_for_each_row=False): Constructor. Args: matched_thres: f... | Implement the Python class `ArgMaxMatcher` described below.
Class description:
Picks the row index that maximizes the column.
Method signatures and docstrings:
- def __init__(self, matched_thres, unmatched_thres, negatives_lower_than_unmatched=True, force_match_for_each_row=False): Constructor. Args: matched_thres: f... | 5a53e02c690632bcf140d1b17327959609aab395 | <|skeleton|>
class ArgMaxMatcher:
"""Picks the row index that maximizes the column."""
def __init__(self, matched_thres, unmatched_thres, negatives_lower_than_unmatched=True, force_match_for_each_row=False):
"""Constructor. Args: matched_thres: float scalar between 0 and 1, threshold for positive match... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ArgMaxMatcher:
"""Picks the row index that maximizes the column."""
def __init__(self, matched_thres, unmatched_thres, negatives_lower_than_unmatched=True, force_match_for_each_row=False):
"""Constructor. Args: matched_thres: float scalar between 0 and 1, threshold for positive match. unmatched_t... | the_stack_v2_python_sparse | core/matcher.py | chao-ji/tf-detection | train | 2 |
bd4f9df349d897f13541cc77626cea225e17e552 | [
"super().__init__()\nself.ensemble = ensemble\nself.p_vae = p_vae\nself.q_vae = q_vae\nself.latent_size = latent_size",
"xs = []\nys = []\nws = []\nfor j in range(num_batches):\n z = tf.random.normal([num_samples, self.latent_size])\n q_dx = self.q_vae.decoder.get_distribution(z, training=False)\n p_dx =... | <|body_start_0|>
super().__init__()
self.ensemble = ensemble
self.p_vae = p_vae
self.q_vae = q_vae
self.latent_size = latent_size
<|end_body_0|>
<|body_start_1|>
xs = []
ys = []
ws = []
for j in range(num_batches):
z = tf.random.normal... | CBAS | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CBAS:
def __init__(self, ensemble, p_vae, q_vae, latent_size=20):
"""Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Model the encoder neural network that outputs parameters for a gaussian decoder: tf.keras.Model... | stack_v2_sparse_classes_36k_train_011190 | 19,704 | permissive | [
{
"docstring": "Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Model the encoder neural network that outputs parameters for a gaussian decoder: tf.keras.Model the decoder neural network that outputs parameters for a gaussian vae_optim:... | 4 | stack_v2_sparse_classes_30k_train_001392 | Implement the Python class `CBAS` described below.
Class description:
Implement the CBAS class.
Method signatures and docstrings:
- def __init__(self, ensemble, p_vae, q_vae, latent_size=20): Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Mo... | Implement the Python class `CBAS` described below.
Class description:
Implement the CBAS class.
Method signatures and docstrings:
- def __init__(self, ensemble, p_vae, q_vae, latent_size=20): Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Mo... | d46ff40d8b665953afb64a3332ddf1953b8a0766 | <|skeleton|>
class CBAS:
def __init__(self, ensemble, p_vae, q_vae, latent_size=20):
"""Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Model the encoder neural network that outputs parameters for a gaussian decoder: tf.keras.Model... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CBAS:
def __init__(self, ensemble, p_vae, q_vae, latent_size=20):
"""Build a trainer for an ensemble of probabilistic neural networks trained on bootstraps of a dataset Args: encoder: tf.keras.Model the encoder neural network that outputs parameters for a gaussian decoder: tf.keras.Model the decoder n... | the_stack_v2_python_sparse | design_baselines/autofocused_cbas/trainers.py | stjordanis/design-baselines | train | 0 | |
484ab52a9b288846d4ff055d7a46687ac2ba512d | [
"super(ExpandImage, self).__init__()\nself.max_ratio = max_ratio\nself.mean = mean\nself.prob = prob",
"prob = np.random.uniform(0, 1)\nassert 'image' in sample, 'not found image data'\nim = sample['image']\ngt_bbox = sample['gt_bbox']\ngt_class = sample['gt_class']\nim_width = sample['w']\nim_height = sample['h'... | <|body_start_0|>
super(ExpandImage, self).__init__()
self.max_ratio = max_ratio
self.mean = mean
self.prob = prob
<|end_body_0|>
<|body_start_1|>
prob = np.random.uniform(0, 1)
assert 'image' in sample, 'not found image data'
im = sample['image']
gt_bbox ... | ExpandImage | [
"Apache-2.0"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class ExpandImage:
def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5]):
"""Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list): the pixel mean"""
<|body_0|>
def __call__(self, sample, context):
"""Expand ... | stack_v2_sparse_classes_36k_train_011191 | 39,037 | permissive | [
{
"docstring": "Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list): the pixel mean",
"name": "__init__",
"signature": "def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5])"
},
{
"docstring": "Expand the image and modify boundin... | 2 | stack_v2_sparse_classes_30k_train_001559 | Implement the Python class `ExpandImage` described below.
Class description:
Implement the ExpandImage class.
Method signatures and docstrings:
- def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5]): Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list... | Implement the Python class `ExpandImage` described below.
Class description:
Implement the ExpandImage class.
Method signatures and docstrings:
- def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5]): Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list... | 420527996b6da60ca401717a734329f126ed0680 | <|skeleton|>
class ExpandImage:
def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5]):
"""Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list): the pixel mean"""
<|body_0|>
def __call__(self, sample, context):
"""Expand ... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class ExpandImage:
def __init__(self, max_ratio, prob, mean=[127.5, 127.5, 127.5]):
"""Args: max_ratio (float): the ratio of expanding prob (float): the probability of expanding image mean (list): the pixel mean"""
super(ExpandImage, self).__init__()
self.max_ratio = max_ratio
self.m... | the_stack_v2_python_sparse | PaddleCV/PaddleDetection/ppdet/data/transform/operators.py | chenbjin/models | train | 3 | |
89d849461b48b0b5895d271a9cf96bcd728763f7 | [
"if not ctx.invoked_subcommand and ctx.channel.type == discord.ChannelType.private:\n settings = [(setting.replace('_', ' ').title(), value) for setting, value in (await self.config.custom('MONGODB').get_raw()).items() if value]\n await ctx.send(chat.box(tabulate(settings, tablefmt='plain')))",
"message = a... | <|body_start_0|>
if not ctx.invoked_subcommand and ctx.channel.type == discord.ChannelType.private:
settings = [(setting.replace('_', ' ').title(), value) for setting, value in (await self.config.custom('MONGODB').get_raw()).items() if value]
await ctx.send(chat.box(tabulate(settings, ta... | DataBase | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class DataBase:
async def levelerset(self, ctx):
"""MongoDB server configuration options. Use that command in DM to see current settings."""
<|body_0|>
async def reconnect(self, ctx):
"""Attempt to reconnect to MongoDB without changing settings"""
<|body_1|>
a... | stack_v2_sparse_classes_36k_train_011192 | 4,667 | permissive | [
{
"docstring": "MongoDB server configuration options. Use that command in DM to see current settings.",
"name": "levelerset",
"signature": "async def levelerset(self, ctx)"
},
{
"docstring": "Attempt to reconnect to MongoDB without changing settings",
"name": "reconnect",
"signature": "a... | 6 | stack_v2_sparse_classes_30k_train_002682 | Implement the Python class `DataBase` described below.
Class description:
Implement the DataBase class.
Method signatures and docstrings:
- async def levelerset(self, ctx): MongoDB server configuration options. Use that command in DM to see current settings.
- async def reconnect(self, ctx): Attempt to reconnect to M... | Implement the Python class `DataBase` described below.
Class description:
Implement the DataBase class.
Method signatures and docstrings:
- async def levelerset(self, ctx): MongoDB server configuration options. Use that command in DM to see current settings.
- async def reconnect(self, ctx): Attempt to reconnect to M... | c977b1d127629b858235b23dd86e5fe0756d1edb | <|skeleton|>
class DataBase:
async def levelerset(self, ctx):
"""MongoDB server configuration options. Use that command in DM to see current settings."""
<|body_0|>
async def reconnect(self, ctx):
"""Attempt to reconnect to MongoDB without changing settings"""
<|body_1|>
a... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class DataBase:
async def levelerset(self, ctx):
"""MongoDB server configuration options. Use that command in DM to see current settings."""
if not ctx.invoked_subcommand and ctx.channel.type == discord.ChannelType.private:
settings = [(setting.replace('_', ' ').title(), value) for setti... | the_stack_v2_python_sparse | leveler/commands/database.py | fixator10/Fixator10-Cogs | train | 90 | |
1b80b877db73eb271893b54c5d67642ca942c463 | [
"start, end = data.split(' -> ')\nstart = Point2D(*map(int, start.split(',')))\nend = Point2D(*map(int, end.split(',')))\nreturn cls(start, end)",
"if self.start.x == self.end.x:\n min_y, max_y = (min(self.start.y, self.end.y), max(self.start.y, self.end.y))\n return [Point2D(self.start.x, y) for y in range... | <|body_start_0|>
start, end = data.split(' -> ')
start = Point2D(*map(int, start.split(',')))
end = Point2D(*map(int, end.split(',')))
return cls(start, end)
<|end_body_0|>
<|body_start_1|>
if self.start.x == self.end.x:
min_y, max_y = (min(self.start.y, self.end.y),... | A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. | Line2D | [
"MIT"
] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Line2D:
"""A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line."""
def from_data(cls, data: str) -> Line2D... | stack_v2_sparse_classes_36k_train_011193 | 2,536 | permissive | [
{
"docstring": "Create a line object from an input line. Args: data (str): The data to create the line from, formatted as \"x1,y1 -> x2,y2\". Returns: Line2D: The created bingo card.",
"name": "from_data",
"signature": "def from_data(cls, data: str) -> Line2D"
},
{
"docstring": "Get the points o... | 2 | null | Implement the Python class `Line2D` described below.
Class description:
A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line.
Method ... | Implement the Python class `Line2D` described below.
Class description:
A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line.
Method ... | c3bc41418240bf1808be84a72507abaf2da3bff4 | <|skeleton|>
class Line2D:
"""A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line."""
def from_data(cls, data: str) -> Line2D... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Line2D:
"""A straight two-dimensional line. Args: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line. Attributes: start (Point2D): The starting point of the line. end (Point2D): The ending point of the line."""
def from_data(cls, data: str) -> Line2D:
"""... | the_stack_v2_python_sparse | utils/bsoyka_aoc_utils/lines.py | bsoyka/advent-of-code | train | 3 |
56afcfcfd36419fc1ee6dcd3661a4d3243c22008 | [
"super(CustomStatusFormset, self).__init__(*args, **kwargs)\nfor form in self.forms:\n for field in form.fields:\n form.fields[field].widget.attrs.update({'class': 'form-control'})",
"for form in self.forms:\n status = form.cleaned_data.get('status')\n if not status:\n raise ValidationError... | <|body_start_0|>
super(CustomStatusFormset, self).__init__(*args, **kwargs)
for form in self.forms:
for field in form.fields:
form.fields[field].widget.attrs.update({'class': 'form-control'})
<|end_body_0|>
<|body_start_1|>
for form in self.forms:
status ... | Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm | CustomStatusFormset | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class CustomStatusFormset:
"""Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm"""
def __init__(self, *args, **kwargs):
"""Custom __init__ behavior to enable Bootstrap form styling"""
<|body_0|>
def clean(self):
"""Custom clean behav... | stack_v2_sparse_classes_36k_train_011194 | 3,647 | no_license | [
{
"docstring": "Custom __init__ behavior to enable Bootstrap form styling",
"name": "__init__",
"signature": "def __init__(self, *args, **kwargs)"
},
{
"docstring": "Custom clean behavior to raise ValidationError if no status selected",
"name": "clean",
"signature": "def clean(self)"
}... | 2 | stack_v2_sparse_classes_30k_train_003833 | Implement the Python class `CustomStatusFormset` described below.
Class description:
Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Custom __init__ behavior to enable Bootstrap form styling
- def clean(self... | Implement the Python class `CustomStatusFormset` described below.
Class description:
Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm
Method signatures and docstrings:
- def __init__(self, *args, **kwargs): Custom __init__ behavior to enable Bootstrap form styling
- def clean(self... | 2493b8d5c865452f75290566ba43cab548d573bd | <|skeleton|>
class CustomStatusFormset:
"""Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm"""
def __init__(self, *args, **kwargs):
"""Custom __init__ behavior to enable Bootstrap form styling"""
<|body_0|>
def clean(self):
"""Custom clean behav... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class CustomStatusFormset:
"""Django BaseInlineFormset to include StatusUpdateForm on page displaying NewTicketForm"""
def __init__(self, *args, **kwargs):
"""Custom __init__ behavior to enable Bootstrap form styling"""
super(CustomStatusFormset, self).__init__(*args, **kwargs)
for form... | the_stack_v2_python_sparse | apps/warranty/forms.py | ryanpdaly/megabike_crm_django | train | 0 |
cef39fdab9b07f1efb5514edf48889e5b764df00 | [
"self.m = 1000\nself.h = [None] * self.m\nself.NOT_IN_LIST = -1",
"index = key % self.m\nif self.h[index] == None:\n self.h[index] = ListNode(key, value)\nelse:\n cur = self.h[index]\n while True:\n if cur.pair[0] == key:\n cur.pair = (key, value)\n return\n if cur.nex... | <|body_start_0|>
self.m = 1000
self.h = [None] * self.m
self.NOT_IN_LIST = -1
<|end_body_0|>
<|body_start_1|>
index = key % self.m
if self.h[index] == None:
self.h[index] = ListNode(key, value)
else:
cur = self.h[index]
while True:
... | MyHashMap | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class MyHashMap:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def put(self, key, value):
"""value will always be non-negative. :type key: int :type value: int :rtype: void"""
<|body_1|>
def get(self, key):
"""Returns the va... | stack_v2_sparse_classes_36k_train_011195 | 2,860 | no_license | [
{
"docstring": "Initialize your data structure here.",
"name": "__init__",
"signature": "def __init__(self)"
},
{
"docstring": "value will always be non-negative. :type key: int :type value: int :rtype: void",
"name": "put",
"signature": "def put(self, key, value)"
},
{
"docstrin... | 4 | stack_v2_sparse_classes_30k_train_016479 | Implement the Python class `MyHashMap` described below.
Class description:
Implement the MyHashMap class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def put(self, key, value): value will always be non-negative. :type key: int :type value: int :rtype: void
- def get(... | Implement the Python class `MyHashMap` described below.
Class description:
Implement the MyHashMap class.
Method signatures and docstrings:
- def __init__(self): Initialize your data structure here.
- def put(self, key, value): value will always be non-negative. :type key: int :type value: int :rtype: void
- def get(... | 4ddeb506f984503d83cb0ad1a2fa2e915009c38f | <|skeleton|>
class MyHashMap:
def __init__(self):
"""Initialize your data structure here."""
<|body_0|>
def put(self, key, value):
"""value will always be non-negative. :type key: int :type value: int :rtype: void"""
<|body_1|>
def get(self, key):
"""Returns the va... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class MyHashMap:
def __init__(self):
"""Initialize your data structure here."""
self.m = 1000
self.h = [None] * self.m
self.NOT_IN_LIST = -1
def put(self, key, value):
"""value will always be non-negative. :type key: int :type value: int :rtype: void"""
index = k... | the_stack_v2_python_sparse | hash_map.py | EugeneStill/PythonCodeChallenges | train | 0 | |
232b0ab35c39ae33779d8d46f496162e61b53517 | [
"for rec in self:\n base_url = rec.get_base_url()\n share_url = rec._get_share_url(redirect=True, signup_partner=True)\n url = base_url + share_url\n return url",
"for rec in self:\n templated_id = self.env.ref('sale_whatsapp_connector.sale_order_status', raise_if_not_found=False)\n whatsapp_log... | <|body_start_0|>
for rec in self:
base_url = rec.get_base_url()
share_url = rec._get_share_url(redirect=True, signup_partner=True)
url = base_url + share_url
return url
<|end_body_0|>
<|body_start_1|>
for rec in self:
templated_id = self.env.r... | Inherit Sale Order. | SaleOrder | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class SaleOrder:
"""Inherit Sale Order."""
def get_link(self):
"""Method to genrate the share Link."""
<|body_0|>
def send_order_status(self):
"""Send Message to Customer."""
<|body_1|>
<|end_skeleton|>
<|body_start_0|>
for rec in self:
ba... | stack_v2_sparse_classes_36k_train_011196 | 3,182 | no_license | [
{
"docstring": "Method to genrate the share Link.",
"name": "get_link",
"signature": "def get_link(self)"
},
{
"docstring": "Send Message to Customer.",
"name": "send_order_status",
"signature": "def send_order_status(self)"
}
] | 2 | stack_v2_sparse_classes_30k_train_014155 | Implement the Python class `SaleOrder` described below.
Class description:
Inherit Sale Order.
Method signatures and docstrings:
- def get_link(self): Method to genrate the share Link.
- def send_order_status(self): Send Message to Customer. | Implement the Python class `SaleOrder` described below.
Class description:
Inherit Sale Order.
Method signatures and docstrings:
- def get_link(self): Method to genrate the share Link.
- def send_order_status(self): Send Message to Customer.
<|skeleton|>
class SaleOrder:
"""Inherit Sale Order."""
def get_li... | e5c27a9201d27f6a1dfabbc73a92cc62d25c9702 | <|skeleton|>
class SaleOrder:
"""Inherit Sale Order."""
def get_link(self):
"""Method to genrate the share Link."""
<|body_0|>
def send_order_status(self):
"""Send Message to Customer."""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class SaleOrder:
"""Inherit Sale Order."""
def get_link(self):
"""Method to genrate the share Link."""
for rec in self:
base_url = rec.get_base_url()
share_url = rec._get_share_url(redirect=True, signup_partner=True)
url = base_url + share_url
ret... | the_stack_v2_python_sparse | sale_whatsapp_connector/models/sale_order.py | Raniani-lab/dxm | train | 0 |
700f976c1465bfdf9256c7a2e2cc916226e22762 | [
"q = []\nfor x, y in points:\n heapq.heappush(q, (math.sqrt(x ** 2 + y ** 2), x, y))\nclosest = [[x, y] for _, x, y in heapq.nsmallest(k, q)]\nreturn closest",
"q = []\nfor x, y in points:\n if len(q) < k:\n heapq.heappush(q, (-math.sqrt(x ** 2 + y ** 2), x, y))\n else:\n distance = math.sq... | <|body_start_0|>
q = []
for x, y in points:
heapq.heappush(q, (math.sqrt(x ** 2 + y ** 2), x, y))
closest = [[x, y] for _, x, y in heapq.nsmallest(k, q)]
return closest
<|end_body_0|>
<|body_start_1|>
q = []
for x, y in points:
if len(q) < k:
... | Solution | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Solution:
def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]:
"""O(N*log(N)) Solution"""
<|body_0|>
def kClosest2(self, points: List[List[int]], k: int) -> List[List[int]]:
"""O(N*log(K)) Solution"""
<|body_1|>
<|end_skeleton|>
<|body_st... | stack_v2_sparse_classes_36k_train_011197 | 916 | no_license | [
{
"docstring": "O(N*log(N)) Solution",
"name": "kClosest",
"signature": "def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]"
},
{
"docstring": "O(N*log(K)) Solution",
"name": "kClosest2",
"signature": "def kClosest2(self, points: List[List[int]], k: int) -> List[List[... | 2 | null | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]: O(N*log(N)) Solution
- def kClosest2(self, points: List[List[int]], k: int) -> List[List[int]]: O(N*log(K)... | Implement the Python class `Solution` described below.
Class description:
Implement the Solution class.
Method signatures and docstrings:
- def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]: O(N*log(N)) Solution
- def kClosest2(self, points: List[List[int]], k: int) -> List[List[int]]: O(N*log(K)... | b72229c50e87d1ff32d3538d13779953451b9daf | <|skeleton|>
class Solution:
def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]:
"""O(N*log(N)) Solution"""
<|body_0|>
def kClosest2(self, points: List[List[int]], k: int) -> List[List[int]]:
"""O(N*log(K)) Solution"""
<|body_1|>
<|end_skeleton|> | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Solution:
def kClosest(self, points: List[List[int]], k: int) -> List[List[int]]:
"""O(N*log(N)) Solution"""
q = []
for x, y in points:
heapq.heappush(q, (math.sqrt(x ** 2 + y ** 2), x, y))
closest = [[x, y] for _, x, y in heapq.nsmallest(k, q)]
return close... | the_stack_v2_python_sparse | leetcode/K Closest Points to Origin/main.py | dalleng/Interview-Practice | train | 2 | |
4ec352982d44085b7c1fa9add44edc9702436c85 | [
"if len(strs) == 0:\n return None\nresult = ''\nfor str in strs:\n lengthstr = [chr(0)] * 4\n length = len(str)\n byte = 4\n while length:\n lengthstr[byte - 1] = chr(length % 256)\n byte -= 1\n length /= 256\n prefix = ''.join(lengthstr)\n result += prefix + str.encode('ut... | <|body_start_0|>
if len(strs) == 0:
return None
result = ''
for str in strs:
lengthstr = [chr(0)] * 4
length = len(str)
byte = 4
while length:
lengthstr[byte - 1] = chr(length % 256)
byte -= 1
... | Codec | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k_train_011198 | 1,936 | no_license | [
{
"docstring": "Encodes a list of strings to a single string. :type strs: List[str] :rtype: str",
"name": "encode",
"signature": "def encode(self, strs)"
},
{
"docstring": "Decodes a single string to a list of strings. :type s: str :rtype: List[str]",
"name": "decode",
"signature": "def ... | 2 | null | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | Implement the Python class `Codec` described below.
Class description:
Implement the Codec class.
Method signatures and docstrings:
- def encode(self, strs): Encodes a list of strings to a single string. :type strs: List[str] :rtype: str
- def decode(self, s): Decodes a single string to a list of strings. :type s: st... | d953abe2c9680f636563e76287d2f907e90ced63 | <|skeleton|>
class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
<|body_0|>
def decode(self, s):
"""Decodes a single string to a list of strings. :type s: str :rtype: List[str]"""
<|body_1|>
<|end_skeleton|... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class Codec:
def encode(self, strs):
"""Encodes a list of strings to a single string. :type strs: List[str] :rtype: str"""
if len(strs) == 0:
return None
result = ''
for str in strs:
lengthstr = [chr(0)] * 4
length = len(str)
byte = 4
... | the_stack_v2_python_sparse | Python_leetcode/271_encode_and_decode_strings.py | xiangcao/Leetcode | train | 0 | |
b2a45618b02c9babe1661231eefdf1d309e6fe6d | [
"assert isinstance(response, scrapy.http.response.html.HtmlResponse)\ncurboard = response.selector.xpath('//div[contains(@class, \"titleBar\")]/h1/text()').extract()\nlast_page = MAX_PAGE[curboard[0].lower()]\n'try:\\n last_page = int(response.selector.xpath(\\'//nav/a[@class=\"PageNavNext\"]/following::... | <|body_start_0|>
assert isinstance(response, scrapy.http.response.html.HtmlResponse)
curboard = response.selector.xpath('//div[contains(@class, "titleBar")]/h1/text()').extract()
last_page = MAX_PAGE[curboard[0].lower()]
'try:\n last_page = int(response.selector.xpath(\'//nav/... | scrape reports from angling addicts forum | worldseafishingReportsSpider | [] | stack_v2_sparse_python_classes_v1 | <|skeleton|>
class worldseafishingReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ..."""
<|body_0|>
def crawl_board_threads(se... | stack_v2_sparse_classes_36k_train_011199 | 9,045 | no_license | [
{
"docstring": "generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ...",
"name": "parse",
"signature": "def parse(self, response)"
},
{
"docstring": "crawl",
"name": "crawl_board_threads",
"signature": "def crawl_board_t... | 3 | stack_v2_sparse_classes_30k_train_007859 | Implement the Python class `worldseafishingReportsSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ... | Implement the Python class `worldseafishingReportsSpider` described below.
Class description:
scrape reports from angling addicts forum
Method signatures and docstrings:
- def parse(self, response): generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ... | 9123aa6baf538b662143b9098d963d55165e8409 | <|skeleton|>
class worldseafishingReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ..."""
<|body_0|>
def crawl_board_threads(se... | stack_v2_sparse_classes_36k | data/stack_v2_sparse_classes_30k | class worldseafishingReportsSpider:
"""scrape reports from angling addicts forum"""
def parse(self, response):
"""generate links to pages in a board yields: https://www.worldseafishing.com/forums/forums/south-east-catch-reports.39/, ..."""
assert isinstance(response, scrapy.http.response.html.H... | the_stack_v2_python_sparse | imgscrape/spiders/worldseafishing_reports.py | gmonkman/python | train | 0 |
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