index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
7,000 | 248b9b9d613f71e0130353f0792083b7d3f6ccd6 | lista = [x for x in range(11)] ##todo: wazne
kwadraty = [i**2 for i in lista]
kwadraty = [(i, i**2, i**3) for i in range(-10, 11)]
zbior_wyr = {'aa', '1233', '111111'}
slownik = {i : len(i)for i in zbior_wyr}
print(kwadraty, slownik, sep='\n') | [
"lista = [x for x in range(11)] ##todo: wazne\n\nkwadraty = [i**2 for i in lista]\nkwadraty = [(i, i**2, i**3) for i in range(-10, 11)]\nzbior_wyr = {'aa', '1233', '111111'}\nslownik = {i : len(i)for i in zbior_wyr}\n\nprint(kwadraty, slownik, sep='\\n')",
"lista = [x for x in range(11)]\nkwadraty = [(i ** 2) for... | false |
7,001 | e7d7a002547047a9bcae830be96dd35db80a86e8 | from authtools.models import AbstractNamedUser
class User(AbstractNamedUser):
USERNAME_FIELD = 'email'
REQUIRED_FIELDS = ['name']
| [
"from authtools.models import AbstractNamedUser\n\n\nclass User(AbstractNamedUser):\n USERNAME_FIELD = 'email'\n REQUIRED_FIELDS = ['name']\n",
"<import token>\n\n\nclass User(AbstractNamedUser):\n USERNAME_FIELD = 'email'\n REQUIRED_FIELDS = ['name']\n",
"<import token>\n\n\nclass User(AbstractName... | false |
7,002 | a967b97f090a71f28e33c5ca54cb64db3967aea3 | import pandas as pd
# 칼럼값으로 추가 - 함수 작성
# 1. cv_diff_value : 종가 일간 변화량
def cv_diff_value(prevalue, postvalue):
return postvalue - prevalue
# 2. cv_diff_rate : 종가 일간 변화율
def cv_diff_rate(prevalue, postvalue):
return (postvalue - prevalue) / prevalue * 100
# 3. cv_maN_value : 종가의 N일 이동평균
def cv_maN_value(cv, ... | [
"import pandas as pd\n\n# 칼럼값으로 추가 - 함수 작성\n# 1. cv_diff_value : 종가 일간 변화량\ndef cv_diff_value(prevalue, postvalue):\n return postvalue - prevalue\n\n\n# 2. cv_diff_rate : 종가 일간 변화율\ndef cv_diff_rate(prevalue, postvalue):\n return (postvalue - prevalue) / prevalue * 100\n\n\n# 3. cv_maN_value : 종가의 N일 이동평균\nde... | false |
7,003 | 2b82d66803ae0a0b03204318975d3c122f34f0cf | import gdal
import sys, gc
sys.path.append("..")
import getopt
import redis
import time
import subprocess
import numpy as np
from os import listdir, makedirs
from os.path import isfile, join, exists
from operator import itemgetter
from natsort import natsorted
from config import DatasetConfig, RasterParams
from datase... | [
"import gdal\nimport sys, gc\n\nsys.path.append(\"..\")\nimport getopt\nimport redis\nimport time\nimport subprocess\nimport numpy as np\nfrom os import listdir, makedirs\nfrom os.path import isfile, join, exists\nfrom operator import itemgetter\nfrom natsort import natsorted\nfrom config import DatasetConfig, Rast... | false |
7,004 | 01d545e77c211201332a637a493d27608721aad5 | from os import environ as env
import json
import utils
import utils.aws as aws
import utils.handlers as handlers
def put_record_to_logstream(event: utils.LambdaEvent) -> str:
"""Put a record of source Lambda execution in LogWatch Logs."""
log_group_name = env["REPORT_LOG_GROUP_NAME"]
utils.Log.info("Fet... | [
"from os import environ as env\nimport json\n\nimport utils\nimport utils.aws as aws\nimport utils.handlers as handlers\n\n\ndef put_record_to_logstream(event: utils.LambdaEvent) -> str:\n \"\"\"Put a record of source Lambda execution in LogWatch Logs.\"\"\"\n log_group_name = env[\"REPORT_LOG_GROUP_NAME\"]\n... | false |
7,005 | c5a2c00d53111d62df413907d4ff4ca5a02d4035 | import argparse
from time import sleep
from threading import Thread
from threading import Lock
from multiprocessing.connection import Listener
from multiprocessing.connection import Client
ADDRESS = '127.0.0.1'
PORT = 5000
# Threaded function snippet
def threaded(fn):
def wrapper(*args, **kwargs):
thread ... | [
"import argparse\nfrom time import sleep\nfrom threading import Thread\nfrom threading import Lock\nfrom multiprocessing.connection import Listener\nfrom multiprocessing.connection import Client\n\nADDRESS = '127.0.0.1'\nPORT = 5000\n\n# Threaded function snippet\ndef threaded(fn):\n def wrapper(*args, **kwargs)... | false |
7,006 | 80469fd945a21c1bd2b5590047016a4b60880c88 | '''
Created on May 18, 2010
@author: Abi.Mohammadi & Majid.Vesal
'''
from threading import current_thread
import copy
import time
from deltapy.core import DeltaException, Context
import deltapy.security.services as security_services
import deltapy.security.session.services as session_services
import deltapy.unique... | [
"'''\nCreated on May 18, 2010\n\n@author: Abi.Mohammadi & Majid.Vesal\n'''\n\nfrom threading import current_thread\n\nimport copy\nimport time\n\nfrom deltapy.core import DeltaException, Context\n\nimport deltapy.security.services as security_services\nimport deltapy.security.session.services as session_services\ni... | false |
7,007 | ac46aa6f8f4f01b6f3c48532533b9dd41a8a1c1c | import abc
class Connector:
"""@abc.abstractmethod
def connect(self):
pass
"""
@abc.abstractmethod
def save(self, item):
pass
@abc.abstractmethod
def load_all(self):
pass
@abc.abstractmethod
def load_by_id(self, i... | [
"import abc\r\n\r\n\r\nclass Connector:\r\n\r\n\r\n \"\"\"@abc.abstractmethod\r\n def connect(self):\r\n pass\r\n \"\"\"\r\n \r\n @abc.abstractmethod\r\n def save(self, item):\r\n pass\r\n \r\n\r\n @abc.abstractmethod\r\n def load_all(self):\r\n pass\r\n \r\n \r... | false |
7,008 | 7d21e76383b80e8a4433fb11cb3b64efee7a6d3b | from angrytux.model.game_objects.obstacle_states.HittedState import HittedState
from angrytux.model.game_objects.obstacle_states.ObstacleState import ObstacleState
class NewState(ObstacleState):
@property
def delete(self) -> bool:
"""
Don't delete this obstacle
:return: False
... | [
"from angrytux.model.game_objects.obstacle_states.HittedState import HittedState\n\nfrom angrytux.model.game_objects.obstacle_states.ObstacleState import ObstacleState\n\n\nclass NewState(ObstacleState):\n @property\n def delete(self) -> bool:\n \"\"\"\n Don't delete this obstacle\n :retu... | false |
7,009 | e7b2e716fbcaf761e119003000bf1b16af57a2b7 | import numpy as np
import matplotlib.pyplot as plt
import csv
category = ["Ecological Well-being", "Health & Human Services", "Arts & Culture", "Community Building", "Environment"]
arr = np.empty((0, 6), str)
moneyGranted = [[0]*5 for _ in range(6)]
moneyRequested = [[0]*5 for _ in range(6)]
perFull = [[0]*5 f... | [
"import numpy as np\r\nimport matplotlib.pyplot as plt\r\nimport csv\r\n\r\ncategory = [\"Ecological Well-being\", \"Health & Human Services\", \"Arts & Culture\", \"Community Building\", \"Environment\"]\r\narr = np.empty((0, 6), str)\r\nmoneyGranted = [[0]*5 for _ in range(6)]\r\nmoneyRequested = [[0]*5 for _ in ... | false |
7,010 | ab9d8e36518c4d42f1e29fbc5552078a5a338508 | # Example 15-5. Using a BookDict, but not quite as intended
>>> from books import BookDict
>>> pp = BookDict(title='Programming Pearls',
... authors='Jon Bentley',
... isbn='0201657880',
... pagecount=256)
>>> pp
{'title': 'Programming Pearls', 'authors': 'Jon Bentley', 'isbn'... | [
"# Example 15-5. Using a BookDict, but not quite as intended\n\n>>> from books import BookDict\n>>> pp = BookDict(title='Programming Pearls',\n... authors='Jon Bentley',\n... isbn='0201657880',\n... pagecount=256)\n>>> pp\n{'title': 'Programming Pearls', 'authors': 'Jon Ben... | true |
7,011 | 7168a8eb401478aa26ee9033262bb5c8fe33f186 |
# This file imports all files for this module for easy inclusions around the game.
from viewController import *
from navigationController import *
from noticer import *
from Images import *
from fancyButton import *
from constants import *
from textObject import *
from UIButton import *
# from spriteFromRect import ... | [
"\n# This file imports all files for this module for easy inclusions around the game.\n\n\nfrom viewController import *\nfrom navigationController import *\nfrom noticer import *\nfrom Images import *\nfrom fancyButton import *\nfrom constants import *\nfrom textObject import *\nfrom UIButton import *\n# from sprit... | false |
7,012 | 865121e7eb5f9c70adf44d33d21f30c22f13ec56 | import numpy as np
import torch
import torch.nn as nn
from torch.nn.functional import interpolate
from torchvision.ops.boxes import batched_nms
class MTCNN():
def __init__(self, device=None, model=None):
if device is None:
device = 'cuda' if torch.cuda.is_available() else 'cpu'
self.device = device
url = '... | [
"import numpy as np\nimport torch\nimport torch.nn as nn\nfrom torch.nn.functional import interpolate\nfrom torchvision.ops.boxes import batched_nms\n\n\nclass MTCNN():\n\tdef __init__(self, device=None, model=None):\n\t\tif device is None:\n\t\t\tdevice = 'cuda' if torch.cuda.is_available() else 'cpu'\n\t\tself.de... | false |
7,013 | d4621ef378b89490278c09e569f781aef1fcef3f |
class WSCommand:
handshake_hi='handshake_hi'
ping = 'ping'
pong = 'pong'
http_call = 'http_call'
http_return = 'http_return'
class WSMessage:
def __init__(self, command: str, data: any = None) -> None:
self.command = command
self.data = data
def strData(self) -> str:
return se... | [
"\n\nclass WSCommand:\n handshake_hi='handshake_hi'\n ping = 'ping'\n pong = 'pong'\n http_call = 'http_call'\n http_return = 'http_return'\n\n\nclass WSMessage:\n def __init__(self, command: str, data: any = None) -> None:\n \n self.command = command\n self.data = data\n \n\n def strData(self)... | false |
7,014 | 3882aaf94b19967a1d1eff23fa4862ea71de3b38 | #!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jul 8 18:04:13 2018
@author: zhangchi
"""
class Solution(object):
def transpose(self, A):
"""
:type A: List[List[int]]
:rtype: List[List[int]]
"""
row = len(A[0])
result = [[] for _ in range(row)]
... | [
"#!/usr/bin/env python2\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sun Jul 8 18:04:13 2018\n\n@author: zhangchi\n\"\"\"\n\nclass Solution(object):\n def transpose(self, A):\n \"\"\"\n :type A: List[List[int]]\n :rtype: List[List[int]]\n \"\"\"\n row = len(A[0])\n resu... | true |
7,015 | 43362c564be0dfbc8f246a0589bcebde245ab7b5 | import requests
save_result = requests.post(
'http://localhost:5000/save',
json={'value': 'witam'}
)
print(save_result.text)
read_result = requests.get('http://localhost:5000/read')
print(read_result.text) | [
"import requests\n\nsave_result = requests.post(\n 'http://localhost:5000/save',\n json={'value': 'witam'}\n)\nprint(save_result.text)\n\nread_result = requests.get('http://localhost:5000/read')\nprint(read_result.text)",
"import requests\nsave_result = requests.post('http://localhost:5000/save', json={'val... | false |
7,016 | 1cfb0690ebe1d7c6ab93fa6a4bc959b90b991bc8 | {
"module_spec": {
"module_name": "Spec1"
}
}
| [
"{\n \"module_spec\": {\n \"module_name\": \"Spec1\"\n }\n}\n\n",
"{'module_spec': {'module_name': 'Spec1'}}\n",
"<code token>\n"
] | false |
7,017 | 8e317d4d8ae8dc3d692d237e7e0abfaf37aecbb6 | from .kahfm_batch import KaHFMBatch | [
"from .kahfm_batch import KaHFMBatch",
"from .kahfm_batch import KaHFMBatch\n",
"<import token>\n"
] | false |
7,018 | 6defbe25fc17e53df2fc4d32886bba1cb141bdfd | import numpy as np
import matplotlib.pyplot as plt
from matplotlib import gridspec
from sklearn.preprocessing import normalize
def blackbox_function(x, y=None, sim=False):
if sim:
if y is None:
return -x ** 2 + 6
else:
return -(x+y) ** 2 + 6
# Reading the magnitude of t... | [
"import numpy as np\nimport matplotlib.pyplot as plt\nfrom matplotlib import gridspec\nfrom sklearn.preprocessing import normalize\n\ndef blackbox_function(x, y=None, sim=False):\n if sim:\n if y is None:\n return -x ** 2 + 6\n else:\n return -(x+y) ** 2 + 6\n\n # Reading t... | false |
7,019 | 2bc5711839ccbe525551b60211d8cd79ddb7775a | # coding=utf-8
# @FileName: test_json.py
# @Author: ZhengQiang
# Date: 2020/1/15 5:26 下午
import json
a = "{\"ddd\": {{}}}"
def boyhook(dic):
print('test')
if dic['name']:
return dic['name'], dic['age']
return dic
new_boy = json.loads(a, object_hook=boyhook)
print(new_boy) | [
"# coding=utf-8\n# @FileName: test_json.py\n# @Author: ZhengQiang\n# Date: 2020/1/15 5:26 下午\nimport json\na = \"{\\\"ddd\\\": {{}}}\"\n\ndef boyhook(dic):\n print('test')\n if dic['name']:\n return dic['name'], dic['age']\n return dic\n\nnew_boy = json.loads(a, object_hook=boyhook)\nprint(new_boy)"... | false |
7,020 | 2bfdc259bcd5ff058ee8661a14afd8a915b8372b | """.. Ignore pydocstyle D400."""
from rolca.payment.api.views import (
PaymentViewSet,
)
routeList = ((r'payment', PaymentViewSet),)
| [
"\"\"\".. Ignore pydocstyle D400.\"\"\"\nfrom rolca.payment.api.views import (\n PaymentViewSet,\n)\n\nrouteList = ((r'payment', PaymentViewSet),)\n",
"<docstring token>\nfrom rolca.payment.api.views import PaymentViewSet\nrouteList = ('payment', PaymentViewSet),\n",
"<docstring token>\n<import token>\nroute... | false |
7,021 | a1bf4b941b845b43ec640b19a001e290b46c488c | #!/usr/bin/env python
# coding: utf-8
# HR Employee Retension Rate, predicting an employee likely to leave or not.
# In[ ]:
import numpy as np # 数组常用库
import pandas as pd # 读入csv常用库
from patsy import dmatrices # 可根据离散变量自动生成哑变量
from sklearn.linear_model import LogisticRegression # sk-learn库Logistic Regression模型
from skl... | [
"#!/usr/bin/env python\n# coding: utf-8\n# HR Employee Retension Rate, predicting an employee likely to leave or not.\n# In[ ]:\nimport numpy as np # 数组常用库\nimport pandas as pd # 读入csv常用库\nfrom patsy import dmatrices # 可根据离散变量自动生成哑变量\nfrom sklearn.linear_model import LogisticRegression # sk-learn库Logistic Regressio... | false |
7,022 | 96bb865b66e5d9ba62bab210705338f1799cc490 | # Generated by Django 3.2.5 on 2021-08-28 12:34
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('userProfile', '0022_auto_20210823_1858'),
]
operations = [
migrations.RemoveField(
model_name='... | [
"# Generated by Django 3.2.5 on 2021-08-28 12:34\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('userProfile', '0022_auto_20210823_1858'),\n ]\n\n operations = [\n migrations.RemoveField(\n ... | false |
7,023 | a094207b2cd9a5a4bd409ac8a644268f3808e346 | # -*- coding: utf-8 -*-
from django.db import models
from django.contrib.auth.models import User
from django import forms
from django.utils.translation import ugettext_lazy as _
from django.contrib.auth.models import User
TYPE_ENT = (
( 'ROOT' , 'ROOT' ),
( 'TIERS', 'TIERS'),
)
class EntiteClass(models.Mode... | [
"# -*- coding: utf-8 -*-\n\nfrom django.db import models\n\nfrom django.contrib.auth.models import User\nfrom django import forms\n\nfrom django.utils.translation import ugettext_lazy as _\nfrom django.contrib.auth.models import User\n\nTYPE_ENT = (\n ( 'ROOT' , 'ROOT' ),\n\t( 'TIERS', 'TIERS'),\n\t\t)\n\nclass ... | false |
7,024 | 28ed494939d0928bf3ad4f07f58186374e925426 | import numpy as np
from random import randint
def combinacaoDeEmbralhamento(qtdeLinhas):
while True:
a = randint(0,qtdeLinhas)
b = randint(0,qtdeLinhas)
if a == b :
continue
else:
break
resp = [[a,b]]
return resp
def embaralhaMatriz(x):
for i in range(qtdeLinhas):
print(i)
combinacaoDeEmbralha... | [
"import numpy as np\nfrom random import randint\n\ndef combinacaoDeEmbralhamento(qtdeLinhas):\n\twhile True:\n\t\ta = randint(0,qtdeLinhas)\n\t\tb = randint(0,qtdeLinhas)\n\t\tif a == b :\n\t\t\tcontinue\n\t\telse:\n\t\t\tbreak\n\tresp = [[a,b]]\n\treturn resp\n\n\t\n\ndef embaralhaMatriz(x):\n\tfor i in range(qtde... | false |
7,025 | 2749a262bf8da99aa340e878c15a6dba01acc38c | """
复习
面向对象：考虑问题从对象的角度出发.
抽象：从多个事物中，舍弃个别的/非本质的特征(不重要)，
抽出共性的本质(重要的)过程。
三大特征：
封装：将每个变化点单独分解到不同的类中。
例如：老张开车去东北
做法：定义人类，定义车类。
继承：重用现有类的功能和概念，并在此基础上进行扩展。
统一概念
例如：图形管理器，统计圆形/矩形.....面积。
... | [
"\"\"\"\n 复习\n 面向对象：考虑问题从对象的角度出发.\n 抽象：从多个事物中，舍弃个别的/非本质的特征(不重要)，\n 抽出共性的本质(重要的)过程。\n 三大特征：\n 封装：将每个变化点单独分解到不同的类中。\n 例如：老张开车去东北\n 做法：定义人类，定义车类。\n\n 继承：重用现有类的功能和概念，并在此基础上进行扩展。\n 统一概念\n 例如：图形管理器，统计圆... | false |
7,026 | 17db8f7a35004a1f2bd8d098aff39928d20511da | # https://docs.python.org/3/library/math.html
# https://metanit.com/python/tutorial/6.2.php
# https://habr.com/ru/post/337260/
# https://habr.com/ru/post/112953/
import math
num = 8
float_num = 2.5
power = 8
rad = 0.5
grad = 90
n = 16
n10 = 1000
base = 2
print("math.pow:", math.pow(num, power)) # проблема точности ... | [
"# https://docs.python.org/3/library/math.html\n# https://metanit.com/python/tutorial/6.2.php\n# https://habr.com/ru/post/337260/\n# https://habr.com/ru/post/112953/\nimport math\n\n\nnum = 8\nfloat_num = 2.5\npower = 8\nrad = 0.5\ngrad = 90\nn = 16\nn10 = 1000\nbase = 2\n\nprint(\"math.pow:\", math.pow(num, power)... | false |
7,027 | 8dff22249abbae9e30ba1ad423457270e0cd9b20 | # Generated by Django 2.1.1 on 2018-09-24 04:59
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('backend', '0001_initial'),
]
operations = [
migrations.CreateModel(
name='Aro',
fie... | [
"# Generated by Django 2.1.1 on 2018-09-24 04:59\n\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('backend', '0001_initial'),\n ]\n\n operations = [\n migrations.CreateModel(\n name='Ar... | false |
7,028 | 5acbd6002c5e3cfac942d52b788f18c6afa92da2 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models, migrations
class Migration(migrations.Migration):
dependencies = [
('examen', '0002_auto_20161122_1836'),
]
operations = [
migrations.RemoveField(
model_name='actuacionventa',
... | [
"# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import models, migrations\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('examen', '0002_auto_20161122_1836'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='act... | false |
7,029 | 55b4448caa73bcb50a15eb46d07328934fce72c8 | import os
import numpy as np
import nibabel as nib
def loop_access(n,m,data,tpl):
if n >m:
return loop_access(n,m+1,data[tpl[m]],tpl)
else:
return data[tpl[m]]
def loop_rec(n,m,mapCoords,dims,data,tple):
if n >= m:
for x in range(dims[m]):
loop_rec(n,m+1,mapCoords,dims,... | [
"import os\nimport numpy as np\nimport nibabel as nib\n\ndef loop_access(n,m,data,tpl):\n if n >m:\n return loop_access(n,m+1,data[tpl[m]],tpl)\n else:\n return data[tpl[m]]\n\ndef loop_rec(n,m,mapCoords,dims,data,tple):\n if n >= m:\n for x in range(dims[m]):\n loop_rec(n,m... | false |
7,030 | 30f030d48368e1b103f926ee7a15b4b75c4459c7 | from datetime import timedelta
import pandas as pd
__all__ = ["FixWindowCutoffStrategy"]
class CutoffStrategy:
"""
Class that holds a CutoffStrategy. This is a measure to prevent leakage
Parameters
----------
generate_fn: a function that generates a cutoff time for a given entity.
input... | [
"from datetime import timedelta\n\nimport pandas as pd\n\n__all__ = [\"FixWindowCutoffStrategy\"]\n\n\nclass CutoffStrategy:\n \"\"\"\n Class that holds a CutoffStrategy. This is a measure to prevent leakage\n\n Parameters\n ----------\n generate_fn: a function that generates a cutoff time for a give... | false |
7,031 | ad474f5120ca2a8c81b18071ab364e6d6cf9e653 | from typing import List
from fastapi import Depends, FastAPI, HTTPException
from sqlalchemy.orm import Session
from myfirstpython.fastapi import models, crud, schemas
from myfirstpython.fastapi.dbconnection import engine, SessionLocal
models.Base.metadata.create_all(bind=engine)
app = FastAPI()
# Dependency
def g... | [
"from typing import List\n\nfrom fastapi import Depends, FastAPI, HTTPException\nfrom sqlalchemy.orm import Session\n\nfrom myfirstpython.fastapi import models, crud, schemas\nfrom myfirstpython.fastapi.dbconnection import engine, SessionLocal\n\nmodels.Base.metadata.create_all(bind=engine)\n\napp = FastAPI()\n\n\n... | false |
7,032 | 2064fe029bc7db14505a5b38750e324b55556abb | # Copyright 2022 Huawei Technologies Co., Ltd
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to... | [
"# Copyright 2022 Huawei Technologies Co., Ltd\n#\n# Licensed under the Apache License, Version 2.0 (the \"License\");\n# you may not use this file except in compliance with the License.\n# You may obtain a copy of the License at\n#\n# http://www.apache.org/licenses/LICENSE-2.0\n#\n# Unless required by applicable l... | false |
7,033 | ddeff852e41b79fb71cea1e4dc71248ddef85d79 | import itertools
import numpy as np
SAMPLER_CACHE = 10000
def cache_gen(source):
values = source()
while True:
for value in values:
yield value
values = source()
class Sampler:
"""Provides precomputed random samples of various distribution."""
randn_gen = cache_gen(la... | [
"import itertools\n\nimport numpy as np\n\n\nSAMPLER_CACHE = 10000\n\n\ndef cache_gen(source):\n values = source()\n while True:\n for value in values:\n yield value\n values = source()\n\n\nclass Sampler:\n \"\"\"Provides precomputed random samples of various distribution.\"\"\"\n... | false |
7,034 | 02d7022c7d864354379009577d64109601190998 | '''
Inspection of the network with unlabelled data
'''
import numpy as np
import matplotlib.pyplot as plt
from main import IMG_SIZE, MODEL_NAME, model
model.load(MODEL_NAME)
''' COMMENT OUT FOLLOWING AS APPROPRIATE '''
# if you need to create the data:
# test_data = process_test_... | [
"'''\r\nInspection of the network with unlabelled data\r\n'''\r\nimport numpy as np\r\nimport matplotlib.pyplot as plt\r\nfrom main import IMG_SIZE, MODEL_NAME, model\r\n\r\nmodel.load(MODEL_NAME)\r\n\r\n''' COMMENT OUT FOLLOWING AS APPROPRIATE '''\r\n# if you need to create the data:\r\n... | false |
7,035 | 146aca6c7da17ddccb815638292cbcdda66f28e6 | #!/usr/local/bin/python
''' side_on.py
Open a 3d trajectory file (x y z) and produce a side-on plot of the
y-z plane, with straight line between start and end and a virtual
wall superimposed at 10 yards.
arg1 = infile
arg2 = optional outfile
'''
import sys
import matplotlib.pyplot as plt
infile... | [
"#!/usr/local/bin/python\n\n''' side_on.py\n\n Open a 3d trajectory file (x y z) and produce a side-on plot of the\n y-z plane, with straight line between start and end and a virtual\n wall superimposed at 10 yards.\n\n arg1 = infile\n arg2 = optional outfile\n'''\n\nimport sys\nimport matplotlib.pyp... | true |
7,036 | 6c86b4823756853bb502b34492ac8ad0a75daf7e | # -*- coding: utf-8 -*-
# Generated by Django 1.11.16 on 2018-12-19 15:17
from __future__ import absolute_import
from __future__ import unicode_literals
from django.db import migrations, models
from django.db.models import Count
from tqdm import tqdm
def remove_duplicate_legal_reasons(apps, purpose_slug, source_obje... | [
"# -*- coding: utf-8 -*-\n# Generated by Django 1.11.16 on 2018-12-19 15:17\nfrom __future__ import absolute_import\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\nfrom django.db.models import Count\nfrom tqdm import tqdm\n\n\ndef remove_duplicate_legal_reasons(apps, purpose_sl... | false |
7,037 | e8e52cd0a0685e827ecbc6272657de5158fa0d94 | import re
print("Кулик Валерія Максимівна\n "
"Лабораторна робота №2 \n "
"Варіант 10 \n "
"Завдання №1. Обчислити формулу")
def int_input(text):
while True:
user_input = input(text)
if re.match('^[0-9]{1,}$', user_input):
break
else:
print("По... | [
"import re\n\nprint(\"Кулик Валерія Максимівна\\n \"\n \"Лабораторна робота №2 \\n \"\n \"Варіант 10 \\n \"\n \"Завдання №1. Обчислити формулу\")\n\n\ndef int_input(text):\n while True:\n user_input = input(text)\n if re.match('^[0-9]{1,}$', user_input):\n break\n ... | true |
7,038 | 16302f23edf16e201c3f3e9800dc4a9290ddc29e | from django.conf.urls import url, include
from . import views
from django.conf import settings
from django.conf.urls.static import static
app_name = 'stock_main'
urlpatterns = [
url(r'^$', views.Stock_main.as_view(), name='stock_main'),
]
urlpatterns += static(settings.MEDIA_URL, document_root=settings.MEDIA_RO... | [
"from django.conf.urls import url, include\nfrom . import views\n\nfrom django.conf import settings\nfrom django.conf.urls.static import static\n\napp_name = 'stock_main'\n\nurlpatterns = [\n url(r'^$', views.Stock_main.as_view(), name='stock_main'),\n]\n\nurlpatterns += static(settings.MEDIA_URL, document_root=... | false |
7,039 | 471ce1eeb3293a424de74e25f36b76699a97ec2b | from mrjob.job import MRJob
from mrjob.step import MRStep
from collections import Counter
import csv
def read_csvLine(line):
# Given a comma delimited string, return fields
for row in csv.reader([line]):
return row
class MRTopVisitorCount(MRJob):
# Mapper1: emit page_id, 1
def mapper_coun... | [
"from mrjob.job import MRJob\nfrom mrjob.step import MRStep\nfrom collections import Counter\nimport csv\n\ndef read_csvLine(line):\n # Given a comma delimited string, return fields\n for row in csv.reader([line]):\n return row\n\nclass MRTopVisitorCount(MRJob):\n \n # Mapper1: emit page_id, 1\n ... | false |
7,040 | 83e1c86095de88692d0116f7e32bd485ab381b29 | #!/usr/bin/env pypy
from __future__ import print_function
from __future__ import division
import subprocess
import random
import math
import sys
import string
randmin = int(sys.argv[1])
randmax = int(sys.argv[2])
random.seed(int(sys.argv[3]))
n = random.randint(randmin, randmax)
print('%d' % n)
| [
"#!/usr/bin/env pypy\n\nfrom __future__ import print_function\nfrom __future__ import division\nimport subprocess\nimport random\nimport math\nimport sys\nimport string\n\nrandmin = int(sys.argv[1])\nrandmax = int(sys.argv[2])\nrandom.seed(int(sys.argv[3]))\n\nn = random.randint(randmin, randmax)\n\nprint('%d' % n)... | false |
7,041 | 9905559909f10831373e659cde0f275dc5d71e0d | # Generated by Django 2.1.7 on 2019-03-18 02:25
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('training_area', '0006_remove_event_day'),
]
operations = [
migrations.Crea... | [
"# Generated by Django 2.1.7 on 2019-03-18 02:25\n\nfrom django.conf import settings\nfrom django.db import migrations, models\nimport django.db.models.deletion\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('training_area', '0006_remove_event_day'),\n ]\n\n operations = [\n ... | false |
7,042 | 33f766bf12a82e25e36537d9d3b745b2444e1fd7 | import turtle
def draw_triangle(brad):
brad.color("blue", "green")
brad.fill(True)
brad.forward(300)
brad.left(120)
brad.forward(300)
brad.left(120)
brad.forward(300)
brad.end_fill()
#jdjjdd brad.color("blue", "white")
brad.fill(True)
brad.left(180)
brad.forward(150)
... | [
"import turtle\ndef draw_triangle(brad):\n brad.color(\"blue\", \"green\")\n brad.fill(True)\n\n brad.forward(300)\n brad.left(120)\n brad.forward(300)\n brad.left(120)\n brad.forward(300)\n brad.end_fill()\n#jdjjdd brad.color(\"blue\", \"white\")\n brad.fill(True)\n brad.left(180)\... | false |
7,043 | 82c426836fee0560e917848084af4ca124e74dff | #Homework 09
#Raymond Guevara
#018504731
#Algorithm Workbench
#Question 1
print("Question 1")
height = int(input("Please enter your height: "))
print()
#Question 2
print("Question 2")
color = input("please enter your favorite color: ")
print()
#Question 3
print("Question 3")
a = -8/3 #Solved for variable "a" usin... | [
"#Homework 09\n#Raymond Guevara\n#018504731\n\n#Algorithm Workbench\n\n#Question 1\nprint(\"Question 1\")\nheight = int(input(\"Please enter your height: \"))\nprint()\n\n#Question 2\nprint(\"Question 2\")\ncolor = input(\"please enter your favorite color: \")\nprint()\n\n#Question 3\nprint(\"Question 3\")\na = -8/... | false |
7,044 | b935c48210b1965ebb0de78384f279b71fc17d5d | #!/usr/bin/python3
################################################################################
# Usefull functions to shorten some of my plotting routine #####################
################################################################################
import matplotlib.pyplot as plt
import seaborn as sns
i... | [
"#!/usr/bin/python3\n\n\n################################################################################\n# Usefull functions to shorten some of my plotting routine #####################\n################################################################################\n\nimport matplotlib.pyplot as plt\nimport sea... | false |
7,045 | b9622bede471c76ae36d3f59130d2be113310d4c | def watch():
print("시청하다")
watch()
print("tv.py의 module 이름은",__name__) #name은 __main__으로 나옴 | [
"def watch():\n print(\"시청하다\")\nwatch()\n\nprint(\"tv.py의 module 이름은\",__name__) #name은 __main__으로 나옴",
"def watch():\n print('시청하다')\n\n\nwatch()\nprint('tv.py의 module 이름은', __name__)\n",
"def watch():\n print('시청하다')\n\n\n<code token>\n",
"<function token>\n<code token>\n"
] | false |
7,046 | 948b793359555f98872e0bdbf6db970ed1ff3b83 | # Ques1:
# To create a program that asks the user to enter their name and their age
# and prints out a message addressed to them that tells them the year that
# they will turn 100 years old. Additionally, the program asks the user for
# another number and prints out that many copies of the previous message on
... | [
"# Ques1:\r\n# To create a program that asks the user to enter their name and their age \r\n# and prints out a message addressed to them that tells them the year that \r\n# they will turn 100 years old. Additionally, the program asks the user for \r\n# another number and prints out that many copies of the previous ... | false |
7,047 | 41350714ce13e3627b9bd56eb934846a99f8e1b3 | # -*- coding: utf-8 -*-
import socket
import os
def http_header_parser(request):
headers = {}
lines = request.split('\n')[1:]
for string in lines:
first_pos = string.find(":")
headers[string[:first_pos]] = string[first_pos + 2:]
return headers
def create_response(http_code, http_co... | [
"# -*- coding: utf-8 -*-\nimport socket\nimport os\n\n\ndef http_header_parser(request):\n headers = {}\n\n lines = request.split('\\n')[1:]\n for string in lines:\n first_pos = string.find(\":\")\n headers[string[:first_pos]] = string[first_pos + 2:]\n\n return headers\n\n\ndef create_res... | true |
7,048 | 665a868ee71f247a621d82108e545257296e0427 | '''
Given a string S and a string T,
find the minimum window in S which will contain all the characters in T in complexity O(n).
For example,
S = "ADOBECODEBANC"
T = "ABC"
Minimum window is "BANC".
Note:
If there is no such window in S that covers all characters in T, return the empty string "".
If there are multipl... | [
"'''\nGiven a string S and a string T,\nfind the minimum window in S which will contain all the characters in T in complexity O(n).\n\nFor example,\nS = \"ADOBECODEBANC\"\nT = \"ABC\"\nMinimum window is \"BANC\".\n\nNote:\nIf there is no such window in S that covers all characters in T, return the empty string \"\"... | false |
7,049 | 521b90ffb4bace4cbd50d08ed4be278d4f259822 | from texttable import Texttable
from nexuscli import exception
from nexuscli.api import cleanup_policy
from nexuscli.cli import constants
def cmd_list(nexus_client):
"""Performs ``nexus3 cleanup_policy list``"""
policies = nexus_client.cleanup_policies.list()
if len(policies) == 0:
return excepti... | [
"from texttable import Texttable\n\nfrom nexuscli import exception\nfrom nexuscli.api import cleanup_policy\nfrom nexuscli.cli import constants\n\n\ndef cmd_list(nexus_client):\n \"\"\"Performs ``nexus3 cleanup_policy list``\"\"\"\n policies = nexus_client.cleanup_policies.list()\n if len(policies) == 0:\n... | false |
7,050 | f59e61977f7c72ab191aadccbd72d23f831b3a1c | import items
import grupo
class Conexion:
def __init__(self, direccion, destino):
self.set_direccion(direccion)
self.set_destino(destino)
def __repr__(self):
return str(self.direccion()) + ' => ' + str(self.destino())
def direccion(self):
return self._direccion
def se... | [
"import items\nimport grupo\n\nclass Conexion:\n def __init__(self, direccion, destino):\n self.set_direccion(direccion)\n self.set_destino(destino)\n\n def __repr__(self):\n return str(self.direccion()) + ' => ' + str(self.destino())\n\n def direccion(self):\n return self._dire... | false |
7,051 | f13a2820fe1766354109d1163c7e6fe887cd6f34 | import sys, os
sys.path.append(os.path.abspath('../models'))
from GANSynth import flags as lib_flags
from GANSynth import generate_util as gu
from GANSynth import model as lib_model
from GANSynth import util
from GANSynth import train_util
import tensorflow as tf
import numpy as np
import json
from models.G... | [
"import sys, os\r\nsys.path.append(os.path.abspath('../models'))\r\n\r\nfrom GANSynth import flags as lib_flags\r\nfrom GANSynth import generate_util as gu\r\nfrom GANSynth import model as lib_model\r\nfrom GANSynth import util\r\nfrom GANSynth import train_util\r\nimport tensorflow as tf\r\nimport numpy as np\r\ni... | false |
7,052 | e086bebaa166abeea066fe49076f1b007858951f | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun May 17 17:24:39 2020
@author: code
"""
import sys
import keras
import cv2
import numpy
import matplotlib
import skimage
print('Python: {}'.format(sys.version))
print('Numpy: {}'.format(numpy.__version__))
print('Keras: {}'.format(keras.__version__))
p... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Sun May 17 17:24:39 2020\n\n@author: code\n\"\"\"\n\nimport sys\nimport keras\nimport cv2\nimport numpy\nimport matplotlib\nimport skimage\n\nprint('Python: {}'.format(sys.version))\nprint('Numpy: {}'.format(numpy.__version__))\nprint('Keras: {}'.... | false |
7,053 | 09dac7bfe98a15b3e79edcb0d0a53c0ab4d771ca | import os
import random
import pygame
# Class for all the game's obstacles
class Obstacle(pygame.sprite.Sprite):
# Class constructor
def __init__(self, game_params, game_speed):
self.obs_type = random.randrange(0, 3)
# Becomes a pterodactyl obstacle
if (self.obs_type == 0):
... | [
"import os\nimport random\nimport pygame\n\n\n# Class for all the game's obstacles\nclass Obstacle(pygame.sprite.Sprite):\n # Class constructor\n def __init__(self, game_params, game_speed):\n self.obs_type = random.randrange(0, 3)\n # Becomes a pterodactyl obstacle\n if (self.obs_type ==... | false |
7,054 | 4ed5ceb784fb1e3046ab9f10c4b556f2e94274db | import json
import requests
from pyyoutube import Api
def get_data(YOUTUBE_API_KEY, videoId, maxResults, nextPageToken):
"""
Получение информации со страницы с видео по video id
"""
YOUTUBE_URI = 'https://www.googleapis.com/youtube/v3/commentThreads?key={KEY}&textFormat=plainText&' + \
... | [
"import json\n\nimport requests\nfrom pyyoutube import Api\n\n\ndef get_data(YOUTUBE_API_KEY, videoId, maxResults, nextPageToken):\n \"\"\"\n Получение информации со страницы с видео по video id\n \"\"\"\n YOUTUBE_URI = 'https://www.googleapis.com/youtube/v3/commentThreads?key={KEY}&textFormat=plainText... | false |
7,055 | 0b5fb649dc421187820677ce75f3cd0e804c18a3 | #! /usr/bin/env python3
__all__ = [
'FrameCorners',
'CornerStorage',
'build',
'dump',
'load',
'draw',
'without_short_tracks'
]
import click
import cv2
import numpy as np
import pims
from _corners import FrameCorners, CornerStorage, StorageImpl
from _corners import dump, load, draw, withou... | [
"#! /usr/bin/env python3\n\n__all__ = [\n 'FrameCorners',\n 'CornerStorage',\n 'build',\n 'dump',\n 'load',\n 'draw',\n 'without_short_tracks'\n]\n\nimport click\nimport cv2\nimport numpy as np\nimport pims\n\nfrom _corners import FrameCorners, CornerStorage, StorageImpl\nfrom _corners import d... | false |
7,056 | c4f39f9212fbe0f591543d143cb8f1721c1f8e1e | """
Schema management for various object types (publisher, dataset etc). Loads
the jsonschema and allows callers to validate a dictionary against them.
"""
import os
import json
import pubtool.lib.validators as v
from jsonschema import validate, validators
from jsonschema.exceptions import ValidationError
SCHEMA = ... | [
"\"\"\"\nSchema management for various object types (publisher, dataset etc). Loads\nthe jsonschema and allows callers to validate a dictionary against them.\n\"\"\"\nimport os\nimport json\n\nimport pubtool.lib.validators as v\n\nfrom jsonschema import validate, validators\nfrom jsonschema.exceptions import Valid... | false |
7,057 | b4eb62413fb8069d8f11c34fbfecc742cd79bdb8 | import random
import matplotlib.pyplot as plt
import tensorflow.keras as keras
mnist = keras.datasets.mnist # MNIST datasets
# Load Data and splitted to train & test sets
# x : the handwritten data, y : the number
(x_train_data, y_train_data), (x_test_data, y_test_data) = mnist.load_data()
print('x_train_d... | [
"import random\r\nimport matplotlib.pyplot as plt\r\nimport tensorflow.keras as keras\r\n\r\nmnist = keras.datasets.mnist # MNIST datasets\r\n\r\n# Load Data and splitted to train & test sets\r\n# x : the handwritten data, y : the number\r\n(x_train_data, y_train_data), (x_test_data, y_test_data) = mnist.load_data(... | false |
7,058 | 502e2d2222863236a42512ffc98c2cc9deaf454f |
import os
import subprocess
import re
# import fcntl
# path_ffmpeg =
path_ffmpeg = r'C:\work\ffmpeg\ffmpeg-3.4.2-win64-static\bin\ffmpeg.exe'
dir_ts_files = r'E:\ts'
dir_output = r'E:\hb'
path_lock = r'C:\work\ffmpeg\encode.lock'
def get_work_base(f_base):
re_num = re.compile(r'(\d+)\-.+')
r = re_num.searc... | [
"\n\nimport os\nimport subprocess\nimport re\n# import fcntl\n\n# path_ffmpeg = \npath_ffmpeg = r'C:\\work\\ffmpeg\\ffmpeg-3.4.2-win64-static\\bin\\ffmpeg.exe'\ndir_ts_files = r'E:\\ts'\ndir_output = r'E:\\hb'\npath_lock = r'C:\\work\\ffmpeg\\encode.lock'\n\ndef get_work_base(f_base):\n re_num = re.compile(r'(\\... | false |
7,059 | 6a609c91122f8b66f57279cff221ee76e7fadb8c | # Definition for singly-linked list.
# class ListNode(object):
# def __init__(self, x):
# self.val = x
# self.next = None
class Solution(object):
def splitListToParts(self, root, k):
"""
:type root: ListNode
:type k: int
:rtype: List[ListNode]
"""
if not root:
return [None]*k
res... | [
"# Definition for singly-linked list.\n# class ListNode(object):\n# def __init__(self, x):\n# self.val = x\n# self.next = None\n\nclass Solution(object):\n\tdef splitListToParts(self, root, k):\n\t\t\"\"\"\n\t\t:type root: ListNode\n\t\t:type k: int\n\t\t:rtype: List[ListNode]\n\t\t\"\"\"\n\t\t... | true |
7,060 | e4845e5aa949ec523515efc4d7996d647fddabdb | line_numbers = input().split(", ")
print("Positive:", ", ".join(list(filter((lambda x: int(x) > -1), line_numbers))))
print("Negative:", ", ".join((list(filter((lambda x: int(x) < 0), line_numbers)))))
print("Even:", ", ".join((list(filter((lambda x: int(x) % 2 == 0), line_numbers)))))
print("Odd:", ", ".join((list(fil... | [
"line_numbers = input().split(\", \")\nprint(\"Positive:\", \", \".join(list(filter((lambda x: int(x) > -1), line_numbers))))\nprint(\"Negative:\", \", \".join((list(filter((lambda x: int(x) < 0), line_numbers)))))\nprint(\"Even:\", \", \".join((list(filter((lambda x: int(x) % 2 == 0), line_numbers)))))\nprint(\"Od... | false |
7,061 | e9a929dfef327737b54723579d3c57884fe61057 | class Solution:
# This would generate all permutations, but that's not what this question asks for
# def combo(self, cur, n, ret, arr):
# if cur == n:
# arr.append(ret)
# return
# self.combo(cur+1, n, ret + "1", arr)
# self.combo(cur+1, n, ret + "0", arr)
def c... | [
"class Solution:\n\t# This would generate all permutations, but that's not what this question asks for\n # def combo(self, cur, n, ret, arr):\n # if cur == n:\n # arr.append(ret)\n # return\n # self.combo(cur+1, n, ret + \"1\", arr)\n # self.combo(cur+1, n, ret + \"0\",... | false |
7,062 | e6b84a2190a84c871e7191ef49fb7ee8b8148c9a | #finding postgresql info
import re
import subprocess
def get_postgre_version():
p = subprocess.Popen("psql --version",stdout=subprocess.PIPE,shell=True)
k = re.findall(r'psql\s+\(PostgreSQL\)\s+(.*)',p.stdout.read())
postgre_version = k[0]
return postgre_version
version=get_postgre_version()
print ver... | [
"#finding postgresql info\nimport re\nimport subprocess\ndef get_postgre_version():\n p = subprocess.Popen(\"psql --version\",stdout=subprocess.PIPE,shell=True)\n k = re.findall(r'psql\\s+\\(PostgreSQL\\)\\s+(.*)',p.stdout.read())\n postgre_version = k[0]\n return postgre_version\n\n\nversion=get_postgr... | true |
7,063 | 5ce5fbfa33c241fc316d5e414df01a39bfc9be18 | # This is an auto-generated Django model module.
# You'll have to do the following manually to clean this up:
# * Rearrange models' order
# * Make sure each model has one field with primary_key=True
# * Make sure each ForeignKey and OneToOneField has `on_delete` set to the desired behavior
# * Remove `managed =... | [
"# This is an auto-generated Django model module.\n# You'll have to do the following manually to clean this up:\n# * Rearrange models' order\n# * Make sure each model has one field with primary_key=True\n# * Make sure each ForeignKey and OneToOneField has `on_delete` set to the desired behavior\n# * Remove ... | false |
7,064 | 70cda2d6d3928cd8008daf221cd78665a9b05eea | #!/usr/bin/env python
#coding:utf-8
"""
Author: Wusf --<wushifan221@gmail.com>
Purpose:
Created: 2016/2/29
"""
import os,sys,sqlite3
MyQtLibPath = os.path.abspath("D:\\MyQuantLib\\")
sys.path.append(MyQtLibPath)
import PCA.PCA_For_Stat_Arb2 as pca
import pandas as pd
import numpy as np
import time
def Compu... | [
"#!/usr/bin/env python\n#coding:utf-8\n\"\"\"\n Author: Wusf --<wushifan221@gmail.com>\n Purpose: \n Created: 2016/2/29\n\"\"\"\n\nimport os,sys,sqlite3\nMyQtLibPath = os.path.abspath(\"D:\\\\MyQuantLib\\\\\")\nsys.path.append(MyQtLibPath)\n\nimport PCA.PCA_For_Stat_Arb2 as pca\nimport pandas as pd\nimport nump... | true |
7,065 | 85903f0c6bd4c896379c1357a08ae3bfa19d5415 | import logging
import random
from pyage.core.address import Addressable
from pyage.core.agent.agent import AbstractAgent
from pyage.core.inject import Inject, InjectOptional
logger = logging.getLogger(__name__)
class AggregateAgent(Addressable, AbstractAgent):
@Inject("aggregated_agents:_AggregateAgent__agents")... | [
"import logging\nimport random\nfrom pyage.core.address import Addressable\nfrom pyage.core.agent.agent import AbstractAgent\nfrom pyage.core.inject import Inject, InjectOptional\n\nlogger = logging.getLogger(__name__)\n\n\nclass AggregateAgent(Addressable, AbstractAgent):\n @Inject(\"aggregated_agents:_Aggregat... | false |
7,066 | b01ff71792895bb8839e09ae8c4a449405349990 | '''
Created on Mar 27, 2019
@author: Iulia
'''
from Graph import Graph
from Controller import *
from Iterators.Vertices import *
from File import File
from Iterators.EdgesIterator import EdgesIterator
def test():
tup = File.readInput("file.txt")
graph = tup[0]
edgeData = tup[1]
ctrl = Controller(grap... | [
"'''\nCreated on Mar 27, 2019\n\n@author: Iulia\n'''\n\nfrom Graph import Graph\nfrom Controller import *\nfrom Iterators.Vertices import *\nfrom File import File\nfrom Iterators.EdgesIterator import EdgesIterator\n\ndef test():\n tup = File.readInput(\"file.txt\")\n graph = tup[0]\n edgeData = tup[1]\n ... | false |
7,067 | 30c2d46d6587df3cbc3e83ecb7af787fcd86eb1f | from checkov.common.models.enums import CheckCategories, CheckResult
from checkov.terraform.checks.resource.base_resource_negative_value_check import BaseResourceNegativeValueCheck
class FunctionAppDisallowCORS(BaseResourceNegativeValueCheck):
def __init__(self):
name = "Ensure function apps are not acces... | [
"from checkov.common.models.enums import CheckCategories, CheckResult\nfrom checkov.terraform.checks.resource.base_resource_negative_value_check import BaseResourceNegativeValueCheck\n\n\nclass FunctionAppDisallowCORS(BaseResourceNegativeValueCheck):\n def __init__(self):\n name = \"Ensure function apps a... | false |
7,068 | fab75c5b55d85cef245fa6d7e04f4bf3a35e492c | from pwn import *
DEBUG = False
if DEBUG:
p = process("binary_100")
else:
p = remote("bamboofox.cs.nctu.edu.tw", 22001)
padding = 0x34 - 0xc
payload = padding * "A" + p32(0xabcd1234)
p.send(payload)
p.interactive()
p.close()
| [
"from pwn import *\n\nDEBUG = False\n\nif DEBUG:\n p = process(\"binary_100\")\nelse:\n p = remote(\"bamboofox.cs.nctu.edu.tw\", 22001)\n\npadding = 0x34 - 0xc\n\npayload = padding * \"A\" + p32(0xabcd1234)\n\np.send(payload)\n\np.interactive()\np.close()\n",
"from pwn import *\nDEBUG = False\nif DEBUG:\n ... | false |
7,069 | 96131e3d6c67c0ee4ff7f69d4ffedcbf96470f14 | # -*- coding: utf-8 -*-
#############################################################################
#
# Copyright (C) 2019-Antti Kärki.
# Author: Antti Kärki.
#
# You can modify it under the terms of the GNU AFFERO
# GENERAL PUBLIC LICENSE (AGPL v3), Version 3.
#
# This program is distributed ... | [
"# -*- coding: utf-8 -*-\r\n#############################################################################\r\n#\r\n# Copyright (C) 2019-Antti Kärki.\r\n# Author: Antti Kärki.\r\n#\r\n# You can modify it under the terms of the GNU AFFERO\r\n# GENERAL PUBLIC LICENSE (AGPL v3), Version 3.\r\n#\r\n# This ... | false |
7,070 | b24ce9ed2df11df4cbf47949915685c09ec7543a | #!/usr/bin/python
import sys
import os
import sqlite3
from matplotlib import pyplot as plt
import numpy as np
def main():
if len(sys.argv) < 2:
print('usage: sqlite_file ...')
sys.exit()
db_filenames = sys.argv[1:]
num_of_dbs = len(db_filenames)
conn = sqlite3.connect(":memory:")
c... | [
"#!/usr/bin/python\n\nimport sys\nimport os\nimport sqlite3\nfrom matplotlib import pyplot as plt\nimport numpy as np\n\ndef main():\n if len(sys.argv) < 2:\n print('usage: sqlite_file ...')\n sys.exit()\n db_filenames = sys.argv[1:]\n num_of_dbs = len(db_filenames)\n conn = sqlite3.connec... | false |
7,071 | e79cdd32977eb357c3f6709887b671c50eb1fa45 | # boj, 9237 : 이장님 초대, python3
# 그리디 알고리즘
import sys
def tree(l):
return max([i+j+2 for i,j in enumerate(l)])
N = int(sys.stdin.readline())
t = sorted(list(map(int, sys.stdin.readline().split())), reverse = True)
print(tree(t)) | [
"# boj, 9237 : 이장님 초대, python3\n# 그리디 알고리즘\nimport sys\n\ndef tree(l):\n return max([i+j+2 for i,j in enumerate(l)])\n\n\nN = int(sys.stdin.readline())\nt = sorted(list(map(int, sys.stdin.readline().split())), reverse = True)\n\nprint(tree(t))",
"import sys\n\n\ndef tree(l):\n return max([(i + j + 2) for i,... | false |
7,072 | 8a6028aa477f697946ab75411b667f559e87141c | from aspose.email.storage.pst import *
from aspose.email.mapi import MapiCalendar
from aspose.email.mapi import MapiRecipientType
from aspose.email.mapi import MapiRecipientCollection
from aspose.email.mapi import MapiRecipient
import datetime as dt
from datetime import timedelta
import os
def run():
dataDir = "Dat... | [
"from aspose.email.storage.pst import *\nfrom aspose.email.mapi import MapiCalendar\nfrom aspose.email.mapi import MapiRecipientType\nfrom aspose.email.mapi import MapiRecipientCollection\nfrom aspose.email.mapi import MapiRecipient\n\nimport datetime as dt\nfrom datetime import timedelta\n\nimport os\n\ndef run():... | false |
7,073 | 5bd7160b6b2e283e221aeb0a6913e6d13511c1db | #!/usr/bin/env python
"""
Plot EEG data.
Usage:
plotting.py [options] [<file>]
Options:
-h --help Show this screen.
--version Show version.
--center Center the data before plotting
--sample-index=N Row index (indexed from one).
--transpose Transpose data.
--x... | [
"#!/usr/bin/env python\r\n\"\"\"\r\nPlot EEG data.\r\n\r\nUsage:\r\n plotting.py [options] [<file>]\r\n\r\nOptions:\r\n -h --help Show this screen.\r\n --version Show version.\r\n --center Center the data before plotting\r\n --sample-index=N Row index (indexed from one).\r\n --transp... | false |
7,074 | 1d529e2ea5526ddcda0d0da30ed8ed4724002c63 | import asyncio
import logging
import os
from async_cron.job import CronJob
from async_cron.schedule import Scheduler
from sqlalchemy import asc
import spider
import squid
import verifier
from db import sess_maker
from model import Proxy, STATUS_OK, STATUS_ERROR
from server import run_api_server
from tool import logge... | [
"import asyncio\nimport logging\nimport os\n\nfrom async_cron.job import CronJob\nfrom async_cron.schedule import Scheduler\nfrom sqlalchemy import asc\n\nimport spider\nimport squid\nimport verifier\nfrom db import sess_maker\nfrom model import Proxy, STATUS_OK, STATUS_ERROR\nfrom server import run_api_server\nfro... | false |
7,075 | 3e7e6d7a0137d91dc7437ff91a39d7f8faad675e | #ERP PROJECT
import pyrebase
import smtplib
config = {
"apiKey": "apiKey",
"authDomain": "erproject-dd24e-default-rtdb.firebaseapp.com",
"databaseURL": "https://erproject-dd24e-default-rtdb.firebaseio.com",
"storageBucket": "erproject-dd24e-default-rtdb.appspot.com"
}
firebase = pyrebase.initialize_app(conf... | [
"#ERP PROJECT\n\n\nimport pyrebase\nimport smtplib\n\nconfig = {\n \"apiKey\": \"apiKey\",\n \"authDomain\": \"erproject-dd24e-default-rtdb.firebaseapp.com\",\n \"databaseURL\": \"https://erproject-dd24e-default-rtdb.firebaseio.com\",\n \"storageBucket\": \"erproject-dd24e-default-rtdb.appspot.com\"\n}\n\nfireb... | false |
7,076 | 9a7c6998e9e486f0497d3684f9c7a422c8e13521 | import sys
def caesar( plaintext, key ):
if int( key ) < 0:
return
plaintext_ascii = [ ( ord( char ) + int( key ) ) for char in plaintext ]
for ascii in plaintext_ascii:
if ( ascii < 97 and ascii > 90 ) or ascii > 122:
ascii -= 25
ciphertext = ''.join( [ chr( ascii ) for a... | [
"import sys\n\ndef caesar( plaintext, key ):\n if int( key ) < 0:\n return\n\n plaintext_ascii = [ ( ord( char ) + int( key ) ) for char in plaintext ]\n for ascii in plaintext_ascii:\n if ( ascii < 97 and ascii > 90 ) or ascii > 122:\n ascii -= 25\n\n ciphertext = ''.join( [ ch... | false |
7,077 | c36625dfbd733767b09fcb5505d029ae2b16aa44 | # pylint: disable=wrong-import-position,wrong-import-order
from gevent import monkey
monkey.patch_all()
from gevent.pywsgi import WSGIServer
from waitlist.app import app
http_server = WSGIServer(("0.0.0.0", 5000), app)
http_server.serve_forever()
| [
"# pylint: disable=wrong-import-position,wrong-import-order\nfrom gevent import monkey\n\nmonkey.patch_all()\n\nfrom gevent.pywsgi import WSGIServer\nfrom waitlist.app import app\n\nhttp_server = WSGIServer((\"0.0.0.0\", 5000), app)\nhttp_server.serve_forever()\n",
"from gevent import monkey\nmonkey.patch_all()\n... | false |
7,078 | 70d740a7003ca3f2d2cde039b2fc470ef2165e77 | import struct
from coapthon import defines
from coapthon.utils import byte_len, bit_len, parse_blockwise
__author__ = 'Giacomo Tanganelli'
__version__ = "2.0"
class BlockwiseLayer(object):
"""
Handles the Blockwise feature.
"""
def __init__(self, parent):
"""
Initialize a Blockwise L... | [
"import struct\nfrom coapthon import defines\nfrom coapthon.utils import byte_len, bit_len, parse_blockwise\n\n__author__ = 'Giacomo Tanganelli'\n__version__ = \"2.0\"\n\n\nclass BlockwiseLayer(object):\n \"\"\"\n Handles the Blockwise feature.\n \"\"\"\n\n def __init__(self, parent):\n \"\"\"\n ... | false |
7,079 | f9f835b24aa8fc77109db9e2d89a3f43bcb4b181 | ''' Load a variety of relevant physical parameters.
All quantities are in atomic units, such that
m_e = 1
e = 1
hbar = 1
1/4\pi\epsilon = 1
'''
import numpy as np
hbar = 1.0
m_e = 1.0
h22m = hbar**2 / (2*m_e)
pi = np.pi
eV = 1/27.21138505
eV_Ha = eV
nm = 18.89726124565
kB_eV = 8.6173324e-5
kB = kB_e... | [
"''' Load a variety of relevant physical parameters.\n\nAll quantities are in atomic units, such that\n m_e = 1\n e = 1\n hbar = 1\n 1/4\\pi\\epsilon = 1\n'''\n\nimport numpy as np\n\nhbar = 1.0\nm_e = 1.0\nh22m = hbar**2 / (2*m_e)\npi = np.pi\neV = 1/27.21138505\neV_Ha = eV\nnm = 18.89726124565\n\nkB_e... | false |
7,080 | 5e0affbd295d7237784cd8e72926afeda6456500 | import numpy as np
from collections import Counter
import matplotlib.pyplot as plt
# 1. sepal length in cm
# 2. sepal width in cm
# 3. petal length in cm
# 4. petal width in cm
TrainingData = np.loadtxt("Data2",delimiter = ',',skiprows = 1,dtype = str)
class Knn(object):
"""docstring for data"""
def ... | [
"import numpy as np\nfrom collections import Counter\nimport matplotlib.pyplot as plt\n\n\n # 1. sepal length in cm\n # 2. sepal width in cm\n # 3. petal length in cm\n # 4. petal width in cm\nTrainingData = np.loadtxt(\"Data2\",delimiter = ',',skiprows = 1,dtype = str)\n\n\nclass Knn(object):\n\t\"\"\"doc... | false |
7,081 | ccb131171472d0a92d571e94453be97b323b4484 | from flask import Flask, request, jsonify
from flask_sqlalchemy import SQLAlchemy
from flask_marshmallow import Marshmallow
import os
# Init app
app = Flask(__name__)
basedir = os.path.abspath(os.path.dirname(__file__))
# Database
app.config['SQLALCHEM_DATABASE_URI'] = 'sqlite///' + \
os.path.join(basedir, 'db.sql... | [
"from flask import Flask, request, jsonify\nfrom flask_sqlalchemy import SQLAlchemy\nfrom flask_marshmallow import Marshmallow\nimport os\n\n# Init app\napp = Flask(__name__)\nbasedir = os.path.abspath(os.path.dirname(__file__))\n# Database\napp.config['SQLALCHEM_DATABASE_URI'] = 'sqlite///' + \\\n os.path.join(... | false |
7,082 | e0d7fb8a9799c91dca0ca0827a5149804c9efabb | from quiz.schema.base import Schema
from quiz.schema.schemas import UserSchemas
class RegisterSchema(Schema):
"""
注册
"""
_schema = UserSchemas.REG_SCHEMA.value
class LoginSchema(Schema):
"""
登录
"""
_schema = UserSchemas.LOGIN_SCHEMA.value
| [
"from quiz.schema.base import Schema\nfrom quiz.schema.schemas import UserSchemas\n\n\nclass RegisterSchema(Schema):\n \"\"\"\n 注册\n \"\"\"\n\n _schema = UserSchemas.REG_SCHEMA.value\n\n\nclass LoginSchema(Schema):\n \"\"\"\n 登录\n \"\"\"\n\n _schema = UserSchemas.LOGIN_SCHEMA.value\n",
"fr... | false |
7,083 | 785b54dce76d6906df513a8bde0110ab6fd63357 | from unittest import TestCase
# auto-test toggled test class to monitor changes to is_palindrome function
class Test_is_palindrome(TestCase):
def test_is_palindrome(self):
from identify_a_palindrome import is_palindrome
self.assertTrue(is_palindrome("Asdfdsa"))
self.assertTrue(is_palindrome... | [
"from unittest import TestCase\n\n# auto-test toggled test class to monitor changes to is_palindrome function\nclass Test_is_palindrome(TestCase):\n def test_is_palindrome(self):\n from identify_a_palindrome import is_palindrome\n self.assertTrue(is_palindrome(\"Asdfdsa\"))\n self.assertTrue... | false |
7,084 | a667c4cb0a30ee67fe982bb96ece6bb75f25f110 | import pygame
from pygame.locals import *
pygame.init()
ttt = pygame.display.set_mode((300,325)) #loome mänguakna
pygame.display.set_caption = ("Trips-Traps-Trull")
võitja = None
def init_tabel(ttt):
taust = pygame.Surface(ttt.get_size())
taust = taust.convert()
taust.fill((250,250,250))
#tõm... | [
"import pygame\n\nfrom pygame.locals import *\n\npygame.init()\nttt = pygame.display.set_mode((300,325)) #loome mänguakna\npygame.display.set_caption = (\"Trips-Traps-Trull\")\n\nvõitja = None\n\n\n\ndef init_tabel(ttt):\n taust = pygame.Surface(ttt.get_size())\n taust = taust.convert()\n taust.fill((250,2... | false |
7,085 | 85fc2fc0a404c20b1f0806412424192ea4a50a9b | import pygame
import random
from lb_juego import*
#Dimensiones de la pantalla
ALTO=400
ANCHO=600
#lista de colores basicos
ROJO=(255,0,0)
SALMON=(240,99,99)
BLANCO=(255,255,255)
NEGRO=(0,0,0)
AZUL=(59,131,189)
VERDE=(0,255,0)
if __name__=='__main__':
#Inicializacion de la aplicacion en pygame
pygame.init()
... | [
"import pygame\nimport random\nfrom lb_juego import*\n\n#Dimensiones de la pantalla\nALTO=400\nANCHO=600\n#lista de colores basicos\nROJO=(255,0,0)\nSALMON=(240,99,99)\nBLANCO=(255,255,255)\nNEGRO=(0,0,0)\nAZUL=(59,131,189)\nVERDE=(0,255,0)\n\nif __name__=='__main__':\n #Inicializacion de la aplicacion en pygame... | false |
7,086 | e1f003b6a687e5654a1ee6c595e789ced02cd6c3 | from pptx import Presentation
import csv
prs = Presentation()
slide_layout = prs.slide_layouts[1]
slide = prs.slides.add_slide(slide_layout)
shapes = slide.shapes
title_shape = shapes.title
body_shape = shapes.placeholders[1]
title_shape.text = "Tekst"
tf = body_shape.text_frame
tf.text = "Zawartość tekst frame"
wi... | [
"from pptx import Presentation\nimport csv\n\nprs = Presentation()\nslide_layout = prs.slide_layouts[1]\nslide = prs.slides.add_slide(slide_layout)\nshapes = slide.shapes\n\ntitle_shape = shapes.title\n\nbody_shape = shapes.placeholders[1]\ntitle_shape.text = \"Tekst\"\n\ntf = body_shape.text_frame\ntf.text = \"Zaw... | false |
7,087 | 4556febd5fddf390f370a8e24871eacf08d34c9f | #!/usr/bin/env python3
import sys
import os
import math
import tempfile
import zlib
import lzma
import struct
import bitstruct
# a swf file unpacker and analyzer
# majority of information taken from https://www.adobe.com/devnet/swf.html (version 19)
# some additional information taken from https://github.com/cla... | [
"#!/usr/bin/env python3\n\n\nimport sys\nimport os\nimport math\n\nimport tempfile\n\nimport zlib\nimport lzma\nimport struct\nimport bitstruct\n\n\n\n# a swf file unpacker and analyzer\n# majority of information taken from https://www.adobe.com/devnet/swf.html (version 19)\n# some additional information taken from... | false |
7,088 | 05badb45c2249dc52b72a46779a8e619cd8a3ca9 | import numpy as np
import matplotlib.pyplot as plt
import scipy.stats as stats
XZ_MESH = np.meshgrid(
np.linspace(0, 1, 100), np.linspace(0.5, 1, 100)
)
XZ_GRID = np.append(
XZ_MESH[0].reshape(-1, 1), XZ_MESH[1].reshape(-1, 1), 1
)
QI_MESH = np.meshgrid(
np.linspace(0, 1, 100), np.linspace(0, 1, 100)
)
Q... | [
"import numpy as np\nimport matplotlib.pyplot as plt\nimport scipy.stats as stats\n\n\nXZ_MESH = np.meshgrid(\n np.linspace(0, 1, 100), np.linspace(0.5, 1, 100)\n)\nXZ_GRID = np.append(\n XZ_MESH[0].reshape(-1, 1), XZ_MESH[1].reshape(-1, 1), 1\n)\n\nQI_MESH = np.meshgrid(\n np.linspace(0, 1, 100), np.linsp... | false |
7,089 | 227a56c970a74d515ab694d2c0924885e2209cfe | #
# @lc app=leetcode id=67 lang=python3
#
# [67] Add Binary
#
# https://leetcode.com/problems/add-binary/description/
#
# algorithms
# Easy (46.70%)
# Likes: 2566
# Dislikes: 331
# Total Accepted: 572.1K
# Total Submissions: 1.2M
# Testcase Example: '"11"\n"1"'
#
# Given two binary strings a and b, return their ... | [
"#\n# @lc app=leetcode id=67 lang=python3\n#\n# [67] Add Binary\n#\n# https://leetcode.com/problems/add-binary/description/\n#\n# algorithms\n# Easy (46.70%)\n# Likes: 2566\n# Dislikes: 331\n# Total Accepted: 572.1K\n# Total Submissions: 1.2M\n# Testcase Example: '\"11\"\\n\"1\"'\n#\n# Given two binary strin... | false |
7,090 | 80454a3935f0d42b5535440fc316af1b5598d8a1 | Desafios:
1: Crie um script python que leia o nome de uma pessoa e mostre uma mensagem de boas-vindas de acordo com o valor digitado.
Script:
Desafio 01:
1: Crie um script python que leia o nome de uma pessoa
e mostre uma mensagem de boas-vindas de acordo com o valor digitado."""
nome=input('Qual é o seu nome?')
print... | [
"Desafios:\n1: Crie um script python que leia o nome de uma pessoa e mostre uma mensagem de boas-vindas de acordo com o valor digitado.\n\nScript:\nDesafio 01:\n1: Crie um script python que leia o nome de uma pessoa\ne mostre uma mensagem de boas-vindas de acordo com o valor digitado.\"\"\"\nnome=input('Qual é o se... | true |
7,091 | 44dbb7587530fac9e538dfe31c7df15b1a016251 | #from graph import *
#ex = open('ex_K.py', 'r')
#ex.read()
import ex_K
ex = ex_K
print "digraph K {"
print (str(ex.K))
print "}"
| [
"#from graph import *\r\n#ex = open('ex_K.py', 'r')\r\n#ex.read()\r\nimport ex_K\r\nex = ex_K\r\n\r\nprint \"digraph K {\"\r\nprint (str(ex.K))\r\nprint \"}\"\r\n"
] | true |
7,092 | 806124926008078e592141d80d08ccfbb3046dbf | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
# ==============================================================================
# Created By : Karl Thompson
# Created Date: Mon March 25 17:34:00 CDT 2019
# ==============================================================================
"""nasdaq_itch_vwap - Genera... | [
"#!/usr/bin/env python3\r\n# -*- coding: utf-8 -*-\r\n# ==============================================================================\r\n# Created By : Karl Thompson\r\n# Created Date: Mon March 25 17:34:00 CDT 2019\r\n# ==============================================================================\r\n\"\"\"nasda... | false |
7,093 | 4d1ea6522a01603f0159a1f27da70b65c4f387cb | from dbmanager import DbManager
from message import Message
def list_returner(f):
def wrapper(*args, **kwargs):
result = f(*args, **kwargs)
if result:
return result
else:
return [dict()]
return wrapper
class Messenger:
def __init__(self, messages_count=20)... | [
"from dbmanager import DbManager\nfrom message import Message\n\n\ndef list_returner(f):\n def wrapper(*args, **kwargs):\n result = f(*args, **kwargs)\n if result:\n return result\n else:\n return [dict()]\n return wrapper\n\n\nclass Messenger:\n def __init__(self... | false |
7,094 | 045ad27f46c2090ed39a49144c3aa17093b0d9c7 | #-*- coding:utf-8 -*-
"""
Django settings for hehotel project.
For more information on this file, see
https://docs.djangoproject.com/en/1.7/topics/settings/
For the full list of settings and their values, see
https://docs.djangoproject.com/en/1.7/ref/settings/
"""
# Build paths inside the project like this: os.path.... | [
"#-*- coding:utf-8 -*-\n\"\"\"\nDjango settings for hehotel project.\n\nFor more information on this file, see\nhttps://docs.djangoproject.com/en/1.7/topics/settings/\n\nFor the full list of settings and their values, see\nhttps://docs.djangoproject.com/en/1.7/ref/settings/\n\"\"\"\n\n# Build paths inside the proje... | false |
7,095 | ece20c8c8fae2225cbac3552e254314b7116057c | import numpy
#Matrixmultiplikation
#Matrixinvertierung
#nicht p inv
#selbst invertierbar machen
import math
import operator | [
"import numpy\n#Matrixmultiplikation\n#Matrixinvertierung\n#nicht p inv\n#selbst invertierbar machen\n\nimport math\nimport operator",
"import numpy\nimport math\nimport operator\n",
"<import token>\n"
] | false |
7,096 | 2f6e5ed4e2d52190551dec2ac18441b8355699b5 | import random
import matplotlib.pyplot as plt
import numpy as np
from sklearn.datasets import fetch_mldata
from sklearn.model_selection import train_test_split
from sklearn.preprocessing import StandardScaler, LabelBinarizer
from ann.act import relu, softmax_with_xentropy
from ann.loss import xentropy_with_softmax
fr... | [
"import random\n\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom sklearn.datasets import fetch_mldata\nfrom sklearn.model_selection import train_test_split\nfrom sklearn.preprocessing import StandardScaler, LabelBinarizer\n\nfrom ann.act import relu, softmax_with_xentropy\nfrom ann.loss import xentropy_w... | false |
7,097 | bc3e94c3fb8e563f62fcf0ca628d4aa73c668612 | from telegram.ext import Dispatcher,CommandHandler,CallbackQueryHandler
import random
from telegram import InlineKeyboardMarkup, InlineKeyboardButton
gifGOODBOAT = 'https://media3.giphy.com/media/3oz8xRQiRlaS1XwnPW/giphy.gif'
gifBADBOAT = 'https://media1.giphy.com/media/l2Je3n9VXC8z3baTe/giphy.gif'
gifGOODMAN = 'https... | [
"from telegram.ext import Dispatcher,CommandHandler,CallbackQueryHandler\nimport random\nfrom telegram import InlineKeyboardMarkup, InlineKeyboardButton\n\ngifGOODBOAT = 'https://media3.giphy.com/media/3oz8xRQiRlaS1XwnPW/giphy.gif'\ngifBADBOAT = 'https://media1.giphy.com/media/l2Je3n9VXC8z3baTe/giphy.gif'\ngifGOODM... | false |
7,098 | 0004e90622f8b13ec7ce0c1f49e8c8df7ea07269 | def merge_the_tools(string, k):
if(len(string)%k != 0):
exit()
else:
L = []
for i in range(0, len(string), k):
L.append(''.join(list(dict.fromkeys(string[i:i+k]))))
print('\n'.join(L))
if __name__ == '__main__':
string, k = input(), int(input())
merge_the_to... | [
"def merge_the_tools(string, k):\n if(len(string)%k != 0):\n exit()\n else:\n L = []\n for i in range(0, len(string), k):\n L.append(''.join(list(dict.fromkeys(string[i:i+k]))))\n print('\\n'.join(L))\n\nif __name__ == '__main__':\n\n string, k = input(), int(input())... | false |
7,099 | 1f7147c914eee37776c0418575e93e3d36ee3aa5 | import os
import json
basedir = os.path.abspath(os.path.dirname(__file__))
# CHECK IF PRODUCTION CONFIG EXISTS
if os.path.exists('/etc/config.json'):
with open('/etc/config.json') as config_file:
config = json.load(config_file)
else:
with open('dev_config.json') as config_file:
config = json.l... | [
"import os\nimport json\n\nbasedir = os.path.abspath(os.path.dirname(__file__))\n\n# CHECK IF PRODUCTION CONFIG EXISTS\nif os.path.exists('/etc/config.json'):\n with open('/etc/config.json') as config_file:\n config = json.load(config_file)\nelse:\n with open('dev_config.json') as config_file:\n ... | false |
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