index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
7,700 | ce3c1a7210632d0a8475fe886d514eb91d3c75ac | ''' Model package should containt all data types for the database engine,
which means that projects like PyCIM can be included within ''' | [
"''' Model package should containt all data types for the database engine, \nwhich means that projects like PyCIM can be included within '''",
"<docstring token>\n"
] | false |
7,701 | dffd575b9d5b763abdbce6f88586c183b71086c4 | def formula(a,b):
if(b == 0):
print "You can not divide by zero"
else:
return (a+b)/b
print formula(4,4)
print formula(2,0)
| [
"def formula(a,b):\n if(b == 0):\n print \"You can not divide by zero\"\n else:\n return (a+b)/b \n\n\nprint formula(4,4)\nprint formula(2,0)\n"
] | true |
7,702 | 6199a2ac12e80395f4a7a54877c5b639315e64aa | import numpy as np
import sys
class NeuralNetworkClassifier():
def __init__(self, hidden_units, learning_rate, batch_size, epochs, l_1_beta_1, l_1_beta_2, l_2_alpha_1, l_2_alpha_2):
self._hidden_units = hidden_units
self._learning_rate = learning_rate
self._batch_size = batch_size
... | [
"import numpy as np\nimport sys\n\n\nclass NeuralNetworkClassifier():\n def __init__(self, hidden_units, learning_rate, batch_size, epochs, l_1_beta_1, l_1_beta_2, l_2_alpha_1, l_2_alpha_2):\n self._hidden_units = hidden_units\n self._learning_rate = learning_rate\n self._batch_size = batch_... | false |
7,703 | f398b724fc28bc25ddb8baf492f34075db0c1f61 | COPY_GOOGLE_DOC_KEY = '1CdafeVmmtNa_PMV99TapPHvLUVzYz0xkvHcpINQtQ6c'
DEPLOY_SLUG = 'al-qassemi'
NUM_SLIDES_AFTER_CONTENT = 2
# Configuration
AUDIO = True
VIDEO = False
FILMSTRIP = False
PROGRESS_BAR = False | [
"COPY_GOOGLE_DOC_KEY = '1CdafeVmmtNa_PMV99TapPHvLUVzYz0xkvHcpINQtQ6c'\nDEPLOY_SLUG = 'al-qassemi'\nNUM_SLIDES_AFTER_CONTENT = 2\n\n# Configuration\nAUDIO = True\nVIDEO = False\nFILMSTRIP = False\nPROGRESS_BAR = False",
"COPY_GOOGLE_DOC_KEY = '1CdafeVmmtNa_PMV99TapPHvLUVzYz0xkvHcpINQtQ6c'\nDEPLOY_SLUG = 'al-qassem... | false |
7,704 | cd9f25a2810b02f5588e4e9e8445e7aaec056bf8 | import scrapy
from yijing64.items import Yijing64Item
# import pymysql
class ZhouyiSpider(scrapy.Spider):
name = 'zhouyi'
allowed_domains = ['m.zhouyi.cc']
start_urls = ['https://m.zhouyi.cc/zhouyi/yijing64/']
def parse(self, response):
li_list = response.xpath("//div[@class='gualist1 tip_tex... | [
"import scrapy\nfrom yijing64.items import Yijing64Item\n# import pymysql\n\n\nclass ZhouyiSpider(scrapy.Spider):\n name = 'zhouyi'\n allowed_domains = ['m.zhouyi.cc']\n start_urls = ['https://m.zhouyi.cc/zhouyi/yijing64/']\n\n def parse(self, response):\n li_list = response.xpath(\"//div[@class=... | false |
7,705 | 4a223cdd3c957af2f54e33c910ce70d2b5e6c963 | # 斐波那契数列(后一位=前两位之和)
# 又叫黄金分割数列，前/后 越来越接近0.618
# list1 = []
# for i in range(20):
# if i <= 1:
# list1.append(1)
# else:
# list1.append(list1[-2]+list1[-1])
# print(list1)
import random
dict1 = {'A': [], 'B': [], 'C': [], 'D': []}
for i in range(20):
re = random.randint(1, 100)
if re >=... | [
"# 斐波那契数列(后一位=前两位之和)\n# 又叫黄金分割数列，前/后 越来越接近0.618\n# list1 = []\n# for i in range(20):\n# if i <= 1:\n# list1.append(1)\n# else:\n# list1.append(list1[-2]+list1[-1])\n# print(list1)\n\n\nimport random\ndict1 = {'A': [], 'B': [], 'C': [], 'D': []}\nfor i in range(20):\n re = random.randint(1... | false |
7,706 | 8be6031caad26ec6b6b99b8d8b8f80d16ad243d4 | from django.db.models import Count
from django.utils.text import slugify
from rest_framework.serializers import ModelSerializer, SerializerMethodField, Serializer
from rest_framework import serializers
from category.models import Category
from product.models import Product, GalleryProduct, Stone, Color, Size
... | [
"from django.db.models import Count\r\nfrom django.utils.text import slugify\r\n\r\nfrom rest_framework.serializers import ModelSerializer, SerializerMethodField, Serializer\r\nfrom rest_framework import serializers\r\n\r\nfrom category.models import Category\r\nfrom product.models import Product, GalleryProduct, S... | false |
7,707 | 8aeb7786984f27fabdcaffa54f52eb868c277fdb | # Global version information
__version__ = "0.6.1"
| [
"# Global version information\n__version__ = \"0.6.1\"\n",
"__version__ = '0.6.1'\n",
"<assignment token>\n"
] | false |
7,708 | 834469f9c6e065fb29dfe1fd3e421fbb752f5094 | from datetime import datetime
from app import db
class Vocabulary(db.Model):
_id = db.Column(db.Integer, primary_key=True)
language = db.Column(db.String(64), index=True)
word = db.Column(db.String(64), index=True, unique=True)
date = db.Column(db.DateTime, index=True, default=datetime.utcnow)
| [
"from datetime import datetime\nfrom app import db\n\n\nclass Vocabulary(db.Model):\n _id = db.Column(db.Integer, primary_key=True)\n language = db.Column(db.String(64), index=True)\n word = db.Column(db.String(64), index=True, unique=True)\n date = db.Column(db.DateTime, index=True, default=datetime.ut... | false |
7,709 | b670655e3a8e88b97eed35e187b01d6524a16af3 | #!/usr/bin/python
# -*- coding: utf-8 -*-
plugins_list = []
class PluginType(type):
def __init__(cls, name, bases, attrs):
super(PluginType, cls).__init__(name, bases, attrs)
# registrar el plugin en la lista
if not cls in plugins_list:
plugins_list.append(cls)
class PluginB... | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\nplugins_list = []\n\nclass PluginType(type):\n def __init__(cls, name, bases, attrs):\n super(PluginType, cls).__init__(name, bases, attrs)\n\n # registrar el plugin en la lista\n if not cls in plugins_list:\n plugins_list.append(cls)... | false |
7,710 | 2783fc24806c323ab4ac44fbac55eef73142ab80 | from django.db import models
# Create your models here.
from django.db import models
# Create your models here.
class Project(models.Model):
project_id = models.IntegerField(primary_key=True)
project_name = models.CharField(max_length=50)
project_description = models.CharField(max_length=200, blank=True, ... | [
"from django.db import models\n\n# Create your models here.\nfrom django.db import models\n\n# Create your models here.\nclass Project(models.Model):\n project_id = models.IntegerField(primary_key=True)\n project_name = models.CharField(max_length=50)\n project_description = models.CharField(max_length=200... | false |
7,711 | c00db6d6fd903236de37ccc029ed30fd46dccdef | import numpy as np
import pandas as pd
import matplotlib as plt
import scipy.linalg
from distance_metrics import *
import time
import random
RANDOM_SEED = 42
np.random.seed(RANDOM_SEED)
random.seed(RANDOM_SEED)
################################################################
# PCA #
##############################... | [
"import numpy as np\nimport pandas as pd\nimport matplotlib as plt\nimport scipy.linalg\nfrom distance_metrics import *\n\nimport time\nimport random\nRANDOM_SEED = 42\nnp.random.seed(RANDOM_SEED)\nrandom.seed(RANDOM_SEED)\n\n\n\n################################################################\n\t\t# PCA #\n#######... | false |
7,712 | 1f45bdbfdd29a0b832ebac7e4ff91df1203ae158 | #容器序列
#list tuple collections.deque dict
#扁平序列
#str
#可变序列
#list collections.deque dict
#不变序列
# tuple str | [
"#容器序列\n#list tuple collections.deque dict\n#扁平序列\n#str \n#可变序列\n#list collections.deque dict\n#不变序列\n# tuple str",
""
] | false |
7,713 | 69d48bc9ecd0f003d7b22c6fbaa532d28137b38e | """
Escreva um programa que leia as coordenadas x e y de um ponto R² e calcule
sua distância da origem(0,0).
"""
import math
print("Origem = 0")
x = int(input("X: "))
y = int(input("Y: "))
aux = (x*x)+(y*y)
dist = math.sqrt(aux)
print("Distância da origem {:.2f}".format(dist)) | [
"\"\"\"\nEscreva um programa que leia as coordenadas x e y de um ponto R² e calcule\nsua distância da origem(0,0).\n\"\"\"\nimport math\n\nprint(\"Origem = 0\")\n\nx = int(input(\"X: \"))\ny = int(input(\"Y: \"))\n\naux = (x*x)+(y*y)\ndist = math.sqrt(aux)\n\n\nprint(\"Distância da origem {:.2f}\".format(dist))",
... | false |
7,714 | 00f8a56b160cab22bf73c0d2397eb2c411e8c966 | import sys, getopt
sys.path.append('.')
import RTIMU
import os.path
import time
import math
import encoders
import motors
#right is master, left is slave
master_power = .6
slave_power = -.6
right_num_revs = 0
left_num_revs = 0
kp = .5
encoders.init()
motors.init()
en_left, en_right = encoders.read()
SETTINGS_FILE ... | [
"import sys, getopt\n\nsys.path.append('.')\nimport RTIMU\nimport os.path\nimport time\nimport math\nimport encoders\nimport motors\n\n#right is master, left is slave\nmaster_power = .6\nslave_power = -.6\nright_num_revs = 0\nleft_num_revs = 0\nkp = .5\n\nencoders.init()\nmotors.init()\n\nen_left, en_right = encode... | false |
7,715 | 655e6531dc21dcdf8fa827184444cee483492b81 | __author__ = "Sarah Hazell Pickering (sarah.pickering@anu.edu.au)"
__date__ = "2018-11-15"
""" QC and Trimming with fastp
Trimming and QC with fastp.
Then subsampling of reads via seqtk.
Now starts with a sample/sample.file structure.
Number of reads to sample is can be supplied via pairs_to_sample
... | [
"__author__ = \"Sarah Hazell Pickering (sarah.pickering@anu.edu.au)\"\n__date__ = \"2018-11-15\"\n\n\"\"\" QC and Trimming with fastp\n\n Trimming and QC with fastp.\n Then subsampling of reads via seqtk.\n\n Now starts with a sample/sample.file structure.\n\n Number of reads to sample is can be supplie... | true |
7,716 | 2b7415d86f9157ae55228efdd61c9a9e9920bc5c | __author__ = 'fshaw'
import gzip
import hashlib
import os
import uuid
import json
import jsonpickle
from chunked_upload.models import ChunkedUpload
from chunked_upload.views import ChunkedUploadView, ChunkedUploadCompleteView
from django.conf import settings
from django.core import serializers
from django.core.files.ba... | [
"__author__ = 'fshaw'\nimport gzip\nimport hashlib\nimport os\nimport uuid\nimport json\nimport jsonpickle\nfrom chunked_upload.models import ChunkedUpload\nfrom chunked_upload.views import ChunkedUploadView, ChunkedUploadCompleteView\nfrom django.conf import settings\nfrom django.core import serializers\nfrom djan... | false |
7,717 | 95845aeb47e0d2c579739767ece35f4134564d98 | import json
import math
import rospy
import sys
import RPi.GPIO as GPIO
from std_msgs.msg import Float32
from geometry_msgs.msg import Point32
from time import sleep
#pulse width of difference rotations
d_45 = 1.0
d_90 = 1.5
d_180 = 2.5
frequency = 50.0
t_per_cycle = (1.0 / frequency) * 1000.0
#convert to duty cycle... | [
"import json\nimport math\nimport rospy\nimport sys\nimport RPi.GPIO as GPIO\nfrom std_msgs.msg import Float32\nfrom geometry_msgs.msg import Point32\nfrom time import sleep\n\n#pulse width of difference rotations\nd_45 = 1.0\nd_90 = 1.5\nd_180 = 2.5\n\nfrequency = 50.0\nt_per_cycle = (1.0 / frequency) * 1000.0\n\n... | false |
7,718 | cb6ed6422a5591f1de0a947f75ad080f250e8443 |
# read in file of customs declaration responses
declarations_file = open('day6_declarations.txt', 'r')
lines = declarations_file.readlines()
# initialise variables
group_responses = [] # temporary container for all responses of each group member
count_any_member_has_response = 0 # count for part... | [
"\n\n# read in file of customs declaration responses\ndeclarations_file = open('day6_declarations.txt', 'r')\nlines = declarations_file.readlines()\n\n# initialise variables\ngroup_responses = [] # temporary container for all responses of each group member\ncount_any_member_has_response = 0 # c... | false |
7,719 | 25f3c9f48b779d2aec260d529529156ff3c508ca | '''
文件读写的步骤
1.打开文件
2.处理数据
3.关闭文件
1.open函数：
fileobj = open(filename, mode)
fileobj是open()函数返回的文件对象
mode第一个字母指明文件类型和操作的字符串，第二个字母是文件类型：
t(可省略)文本类型，b二进制类型。
文件打开模式：r只读(默认)，w覆盖写(不存在则新创建)
a追加模式(不存在则创建)
2.read(size):从文件读取长度为size的字符串，若未给定或为负则读取所有内容
3.readline():读取整行返回字符串
4.readline... | [
"'''\n文件读写的步骤\n 1.打开文件\n 2.处理数据\n 3.关闭文件\n1.open函数：\n fileobj = open(filename, mode)\n fileobj是open()函数返回的文件对象\n mode第一个字母指明文件类型和操作的字符串，第二个字母是文件类型：\n t(可省略)文本类型，b二进制类型。\n 文件打开模式：r只读(默认)，w覆盖写(不存在则新创建)\n a追加模式(不存在则创建)\n2.read(size):从文件读取长度为size的字符串，若未给定或为负则读取所有内容\n3.readline():读取... | false |
7,720 | 29cae66fdca65020a82212e5eabbc61eb900e543 | # test_LeapYear.py
# By Alex Graalum
import unittest
import LeapYear
class test_leapyear(unittest.TestCase):
def test_four(self):
self.assertEqual(LeapYear.leapyear(2012), True)
def test_hundred(self):
self.assertEqual(LeapYear.leapyear(2100), False)
def test_fourhundred(self):
self... | [
"# test_LeapYear.py\n# By Alex Graalum\nimport unittest\nimport LeapYear\n\nclass test_leapyear(unittest.TestCase):\n def test_four(self):\n self.assertEqual(LeapYear.leapyear(2012), True)\n def test_hundred(self):\n self.assertEqual(LeapYear.leapyear(2100), False)\n def test_fourhundred(self... | false |
7,721 | d1077107a5cd3a9f489f74b030a698b0521841f3 | # 파이썬 딕셔너리
# 범용적으로 가장 많이 사용되는 타입
# key와 value의 대용관계 type
# 순서 X, key 중복 X, 수정 O, 삭제 O
# {}
# class란 실세계(오브젝트)의 명사,동사적인 특징들을 추상화시키는 것, 즉 프로그램 내 인스턴트(객체)를 추출하는 템플릿이다
# class는 틀이고 인스턴스는 틀에의해 만들어지는 결과물.하여 instance.class()로 표현
#temp = {}
#print(type(temp))
dic01 = {'name' : 'seop',
'age' : 48,
... | [
"# 파이썬 딕셔너리\r\n# 범용적으로 가장 많이 사용되는 타입\r\n# key와 value의 대용관계 type\r\n# 순서 X, key 중복 X, 수정 O, 삭제 O\r\n# {}\r\n# class란 실세계(오브젝트)의 명사,동사적인 특징들을 추상화시키는 것, 즉 프로그램 내 인스턴트(객체)를 추출하는 템플릿이다\r\n# class는 틀이고 인스턴스는 틀에의해 만들어지는 결과물.하여 instance.class()로 표현\r\n\r\n#temp = {}\r\n#print(type(temp))\r\n\r\ndic01 = {'name' : 'seop',\r\... | false |
7,722 | 138abb40fda0f19b4a74a294d5cd0dd326dc59ce | from getMerriamWebster import searchMerriamWebster
from searchWikipedia import searchWikipedia
from synonyms import searchSynonyms
class Scraping:
def __init__(self, clues, answers, gridIndex):
self.clues = clues
self.domains = {"across": {}, "down":{}}
self.answers = answers
self.g... | [
"from getMerriamWebster import searchMerriamWebster\nfrom searchWikipedia import searchWikipedia\nfrom synonyms import searchSynonyms\n\nclass Scraping:\n def __init__(self, clues, answers, gridIndex):\n self.clues = clues\n self.domains = {\"across\": {}, \"down\":{}}\n self.answers = answe... | false |
7,723 | 3375bc94d214b0b1c67986d35b0587714dd63bcd | # -*- coding: utf-8 -*-
import os
import sys, getopt
import paho.mqtt.client as mqtt
import random
import _thread
import time
import json
HOST = '0.0.0.0'
PORT = 9090
# gb_freq = 0
CONFIG_PATH = 'config/config.cfg'
ITEMS_PATH = 'config/items.cfg'
MILISECOND = 0.001
class Item(object):
def __init__(self, string):
... | [
"# -*- coding: utf-8 -*-\nimport os\nimport sys, getopt\nimport paho.mqtt.client as mqtt\nimport random\nimport _thread\nimport time\nimport json\n\nHOST = '0.0.0.0'\nPORT = 9090\n# gb_freq = 0\nCONFIG_PATH = 'config/config.cfg'\nITEMS_PATH = 'config/items.cfg'\nMILISECOND = 0.001\n\nclass Item(object):\n def __... | false |
7,724 | 1eab2ddda6fdd71db372e978caa6e7d24c7fe78e | """
Написать программу, которая принимает строку
и выводит строку без пробелов и ее длину.
Для удаления пробелов реализовать доп функцию.
""" | [
"\"\"\"\n Написать программу, которая принимает строку\n и выводит строку без пробелов и ее длину.\n Для удаления пробелов реализовать доп функцию.\n\"\"\"",
"<docstring token>\n"
] | false |
7,725 | 564c613491b0d1797b216a0bd425690e9fae12bc | import json
from asgiref.sync import async_to_sync
from daphne_API.diversifier import activate_diversifier
from daphne_API.models import Design
def send_archs_back(channel_layer, channel_name, archs):
async_to_sync(channel_layer.send)(channel_name,
{
... | [
"import json\n\nfrom asgiref.sync import async_to_sync\n\nfrom daphne_API.diversifier import activate_diversifier\nfrom daphne_API.models import Design\n\n\ndef send_archs_back(channel_layer, channel_name, archs):\n async_to_sync(channel_layer.send)(channel_name,\n {\n ... | false |
7,726 | caa92eb5582135f60a6034cb83d364501361d00e | #!/usr/bin/python
# -*- coding: utf-8 -*-
# you can use print for debugging purposes, e.g.
# print "this is a debug message"
def solution(A):
N = len (A)
#min_avg = min( (A[0] + A[1]) / 2, (A[0] + A[1] + A[2]) / 3)
min_avg = (A[0] + A[1]) / 2.0
min_idx = 0
now_avg = 0.0
for i in xra... | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\n\n# you can use print for debugging purposes, e.g.\n# print \"this is a debug message\"\n\n\ndef solution(A):\n N = len (A)\n #min_avg = min( (A[0] + A[1]) / 2, (A[0] + A[1] + A[2]) / 3)\n min_avg = (A[0] + A[1]) / 2.0\n min_idx = 0\n now_avg = 0.0\n \n... | false |
7,727 | 16106250548ef60b475b009116cfeb7a25101637 | import torch.nn as nn
class RNN_instruction_encoder(nn.Module):
def __init__(self, vocab_size, word_vec_dim, hidden_size,
n_layers, input_dropout_p=0, dropout_p=0, bidirectional=True,
variable_lengths=True, word2vec=None, fix_embeddings=False,
rnn_cell='lstm'):
... | [
"import torch.nn as nn\n\n\nclass RNN_instruction_encoder(nn.Module):\n def __init__(self, vocab_size, word_vec_dim, hidden_size,\n n_layers, input_dropout_p=0, dropout_p=0, bidirectional=True,\n variable_lengths=True, word2vec=None, fix_embeddings=False,\n rnn_cel... | false |
7,728 | 98ddf0be2c38cd9b10dfa9cc09f53907b34c1287 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
from setuptools import setup, find_packages
config = {
'name': 'beziers',
'author': 'Simon Cozens',
'author_email': 'simon@simon-cozens.org',
'url': 'https://github.com/simoncozens/beziers.py',
'description': 'Bezier curve manipulation library',
'lo... | [
"#!/usr/bin/env python\n# -*- coding: utf-8 -*-\nfrom setuptools import setup, find_packages\n\nconfig = {\n 'name': 'beziers',\n 'author': 'Simon Cozens',\n 'author_email': 'simon@simon-cozens.org',\n 'url': 'https://github.com/simoncozens/beziers.py',\n 'description': 'Bezier curve manipulation lib... | false |
7,729 | 1bb953b665f48638691986e2fcae73b10a1c2ce0 | #!/usr/bin/env python
from __future__ import absolute_import, print_function, unicode_literals
import os
import sys
import unittest
# Allow interactive execution from CLI, cd tests; ./test_cli.py
if __package__ is None:
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from ksconf.con... | [
"#!/usr/bin/env python\nfrom __future__ import absolute_import, print_function, unicode_literals\n\nimport os\nimport sys\nimport unittest\n\n# Allow interactive execution from CLI, cd tests; ./test_cli.py\nif __package__ is None:\n sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))\n\... | false |
7,730 | 40744a8530df28f0bd8648900beb8a66e2d44cd0 | # Background: The Fibonacci numbers are defined by F(n) = F(n-1) + F(n-2).
# There are different conventions on whether 0 is a Fibonacci number,
# and whether counting starts at n=0 or at n=1. Here, we will assume that
# 0 is not a Fibonacci number, and that counting starts at n=0,
# so F(0)=F(1)=1, and F(2)=2. Wit... | [
"# Background: The Fibonacci numbers are defined by F(n) = F(n-1) + F(n-2). \n# There are different conventions on whether 0 is a Fibonacci number, \n# and whether counting starts at n=0 or at n=1. Here, we will assume that \n# 0 is not a Fibonacci number, and that counting starts at n=0, \n# so F(0)=F(1)=1, and F(... | false |
7,731 | 9c98ecde2e8aac00a33da7db6e5e6023519e4b84 | from django.db import models
from django.utils import timezone
from django.utils.text import slugify
from django.db.models.signals import pre_save
from NetFlix.db.models import PublishStateOptions
from NetFlix.db.receivers import publicado_stado_pre_save, slugify_pre_save
class VideoQuerySet(models.QuerySet):
def... | [
"from django.db import models\n\nfrom django.utils import timezone\nfrom django.utils.text import slugify\n\nfrom django.db.models.signals import pre_save\n\nfrom NetFlix.db.models import PublishStateOptions\nfrom NetFlix.db.receivers import publicado_stado_pre_save, slugify_pre_save\n\n\nclass VideoQuerySet(models... | false |
7,732 | 415a6cf1c3f633a863851a4a407d416355398b39 | import torch
import numpy as np
import torch.utils.data as data
import torch.nn as nn
import torch.optim as optim
import torch.nn.functional as F
import time
class CNN(nn.Module):
def __init__(self,
fragment_length,
conv_layers_num,
conv_kernel_size,
pool_kernel_size,
fc_siz... | [
"import torch\nimport numpy as np\nimport torch.utils.data as data\nimport torch.nn as nn\nimport torch.optim as optim\nimport torch.nn.functional as F\nimport time\n\nclass CNN(nn.Module):\n def __init__(self,\n fragment_length,\n conv_layers_num,\n conv_kernel_size,\n pool_kernel_si... | false |
7,733 | 57564c2e94a65187bf5e033ee06926fb593e11a7 | from yapsy.IPlugin import IPlugin
import wolframalpha
import yaml
keys_file = open("friday/plugins/KEYS")
keys = yaml.load(keys_file)
keys_file.close()
class Wolfram(IPlugin):
def can_perform(self, friday, request):
return 'result' in request and 'resolvedQuery' in request['result']\
and ... | [
"from yapsy.IPlugin import IPlugin\nimport wolframalpha\nimport yaml\n\nkeys_file = open(\"friday/plugins/KEYS\")\nkeys = yaml.load(keys_file)\nkeys_file.close()\n\n\nclass Wolfram(IPlugin):\n def can_perform(self, friday, request):\n return 'result' in request and 'resolvedQuery' in request['result']\\\n... | false |
7,734 | 34c8541e640596f51a5232cba06172df5814db14 | #!/usr/bin/python
from PyMca5.PyMcaGui import PyMcaQt as qt
from RixsTool import mainWindow
app = qt.QApplication([])
win = mainWindow.RIXSMainWindow()
win.show()
app.exec_()
| [
"#!/usr/bin/python\n\nfrom PyMca5.PyMcaGui import PyMcaQt as qt\nfrom RixsTool import mainWindow\napp = qt.QApplication([])\nwin = mainWindow.RIXSMainWindow()\nwin.show()\napp.exec_()\n ",
"from PyMca5.PyMcaGui import PyMcaQt as qt\nfrom RixsTool import mainWindow\napp = qt.QApplication([])\nwin = mainWindow.RIX... | false |
7,735 | c6a4d566460a06504abf7e2c54be4f2ea36e01fb | # VGGNet
import numpy as np
np.random.seed(317)
from glob import glob
from itertools import cycle
from keras.applications.vgg19 import VGG19
from keras.optimizers import Adam
from keras.models import Model
from keras.layers import Input, BatchNormalization, Flatten, Dropout, Dense
from keras.utils import plot_model
fr... | [
"# VGGNet\nimport numpy as np\nnp.random.seed(317)\n\nfrom glob import glob\nfrom itertools import cycle\nfrom keras.applications.vgg19 import VGG19\nfrom keras.optimizers import Adam\nfrom keras.models import Model\nfrom keras.layers import Input, BatchNormalization, Flatten, Dropout, Dense\nfrom keras.utils impor... | false |
7,736 | 2728c3ab26fbdbaac9c47054eafe1c114341f6f2 |
from sand_game.Environment import Environment
from sand_game.behaviours.Behaviour import Behaviour
class EphemeralBehaviour(Behaviour):
"""Removes the particle after one frame
"""
def behave(env: Environment, loc: tuple[int, int]) -> tuple[int, int]:
env.set(loc[0], loc[1], None)
| [
"\n\nfrom sand_game.Environment import Environment\nfrom sand_game.behaviours.Behaviour import Behaviour\n\n\nclass EphemeralBehaviour(Behaviour):\n \"\"\"Removes the particle after one frame\n \"\"\"\n def behave(env: Environment, loc: tuple[int, int]) -> tuple[int, int]:\n env.set(loc[0], loc[1], ... | false |
7,737 | a5918679b6e3a9bde54808264d9526c6a191578f | # -*- coding: utf-8 -*-
"""
Created on Tue Apr 27 10:34:15 2021
@author: Ivan
課程教材：行銷人轉職爬蟲王實戰｜5大社群平台＋2大電商
版權屬於「楊超霆」所有，若有疑問，可聯絡ivanyang0606@gmail.com
第一章 爬蟲基本訓練
Html爬蟲Post教學－台灣股市資訊網
"""
import requests
from bs4 import BeautifulSoup
# 要抓取的網址
url = 'https://goodinfo.tw/StockInfo/StockDividendPolicy.asp?S... | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Tue Apr 27 10:34:15 2021\r\n\r\n@author: Ivan\r\n課程教材：行銷人轉職爬蟲王實戰｜5大社群平台＋2大電商\r\n版權屬於「楊超霆」所有，若有疑問，可聯絡ivanyang0606@gmail.com\r\n\r\n第一章 爬蟲基本訓練\r\nHtml爬蟲Post教學－台灣股市資訊網\r\n\"\"\"\r\nimport requests\r\nfrom bs4 import BeautifulSoup\r\n\r\n# 要抓取的網址\r\nurl = 'https://goodin... | false |
7,738 | 31275ca9e20da9d2709ea396e55c113b3ff4f571 | from django.apps import AppConfig
class ModuloConfig(AppConfig):
name = 'modulo'
verbose_name = 'TUM:JungeAkademie - Modulo'
def ready(self):
#start-up / initialization code here!!!
from .recommender import Recommender
Recommender.initialize() | [
"from django.apps import AppConfig\n\n\nclass ModuloConfig(AppConfig):\n name = 'modulo'\n verbose_name = 'TUM:JungeAkademie - Modulo'\n \n def ready(self):\n #start-up / initialization code here!!!\n from .recommender import Recommender\n Recommender.initialize()",
"from django.a... | false |
7,739 | 1fbe269c9c09fe58b0df1ebd4354cf9dc31a2f90 | def is_palindrome_v2(word):
'''(string)->boolean
returns if word is palindrome (ignores white space)'''
if len(word) < 2:
return True
if(not word[0].isalpha() or not word[1].isalpha()):
if(word[0].isalpha()):
return is_palindrome_v2(word[:-1])
if(word[-1].isal... | [
"def is_palindrome_v2(word):\r\n '''(string)->boolean\r\n returns if word is palindrome (ignores white space)'''\r\n if len(word) < 2:\r\n return True\r\n if(not word[0].isalpha() or not word[1].isalpha()):\r\n if(word[0].isalpha()):\r\n return is_palindrome_v2(word[:-1])\r\n ... | false |
7,740 | bf1221bc9768cff2edb67e0e5f5cea0ee2dd64e5 | """social_website URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.0/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Clas... | [
"\"\"\"social_website URL Configuration\n\nThe `urlpatterns` list routes URLs to views. For more information please see:\n https://docs.djangoproject.com/en/2.0/topics/http/urls/\nExamples:\nFunction views\n 1. Add an import: from my_app import views\n 2. Add a URL to urlpatterns: path('', views.home, na... | false |
7,741 | c475e095571b211693e66583637442edbf72c260 | from twitter.MyStreamListener import MyStreamListener
import tweepy
from threading import Thread
class TwitterWorker(Thread):
def __init__(self):
Thread.__init__(self)
CONSUMER_KEY = 'IwZZeJHjLXq55ewwQwD0SogHU'
CONSUMER_SECRET = '80kELQhDGNvLNFfNZ7qliIbzAoA3tsgQ... | [
"from twitter.MyStreamListener import MyStreamListener\nimport tweepy\nfrom threading import Thread\n\n\nclass TwitterWorker(Thread):\n def __init__(self):\n Thread.__init__(self)\n CONSUMER_KEY = 'IwZZeJHjLXq55ewwQwD0SogHU'\n CONSUMER_SECRET = '80kELQhDGNvLNFfNZ7... | false |
7,742 | b419e26cbf5bbb746f897367ddaa829773a6860c | from django.db import models
from django.utils import timezone
from accounts.models import AllUser
from profiles.models import Profile
### MODEL HOLDING MEMBER TO CLIENT RELATIONSHIPS. ###
class MemberClient(models.Model):
created = models.DateTimeField(auto_now_add=timezone.now())
client = models.ForeignKey(... | [
"from django.db import models\nfrom django.utils import timezone\nfrom accounts.models import AllUser\nfrom profiles.models import Profile\n\n### MODEL HOLDING MEMBER TO CLIENT RELATIONSHIPS. ###\n\nclass MemberClient(models.Model):\n created = models.DateTimeField(auto_now_add=timezone.now())\n client = mode... | false |
7,743 | 6f05d1915cd2e123dd72233b59d4de43fd724035 | from . import find_resault
from . import sql | [
"from . import find_resault\nfrom . import sql",
"from . import find_resault\nfrom . import sql\n",
"<import token>\n"
] | false |
7,744 | 9f42a9d0ca622d6c4e2cf20bc2e494262c16055b | import cv2
import numpy as np
from matplotlib import pyplot as plt
#cargar la imagen a analizar
imagen= cv2.imread("tomate22.jpg")
#cv2.imshow("Original", imagen)
#cv2.waitKey(0)
# Convertimos en escala de grise
gris = cv2.cvtColor(imagen, cv2.COLOR_BGR2GRAY)
#cv2.imshow("En gris", gris)
#cv2.waitKey(0)
# Aplicar s... | [
"import cv2\nimport numpy as np\nfrom matplotlib import pyplot as plt\n\n\n#cargar la imagen a analizar\nimagen= cv2.imread(\"tomate22.jpg\")\n#cv2.imshow(\"Original\", imagen)\n#cv2.waitKey(0)\n\n# Convertimos en escala de grise\ngris = cv2.cvtColor(imagen, cv2.COLOR_BGR2GRAY)\n#cv2.imshow(\"En gris\", gris)\n#cv2... | false |
7,745 | f81e4c9a502855dca31c6c991a08a12af1c2e2a6 | import scipy.constants as const
import scipy.optimize as opt
import numpy as np
import pum.algorithms as alg
from pum.lines import *
from pum.net import *
mu = 1
eps = 2.56
b = 2.8 * const.milli
C = 13.0
Z0 = 50
f0 = 1.34 * const.giga
k = 10 ** ( - np.abs(C) / 20)
print 'k = {}' .format( k)
Z0e = ... | [
"import scipy.constants as const\nimport scipy.optimize as opt\nimport numpy as np\nimport pum.algorithms as alg\nfrom pum.lines import *\nfrom pum.net import *\n\nmu = 1\neps = 2.56\nb = 2.8 * const.milli \nC = 13.0\nZ0 = 50\nf0 = 1.34 * const.giga\n\nk = 10 ** ( - np.abs(C) / 20)\nprint 'k = {}... | true |
7,746 | e54eea2261517a2b15fde23c46b3fe75c0efec64 | # генераторы списков и словарей
# lists
my_list = [1, 2, 3, 4, 5]
new_list = []
for i in my_list:
new_list.append(i**2)
new_list_comp = [el**2 for el in my_list]
lines = [line.strip() for line in open("text.txt")]
new_list_1 = [el for el in my_list if el % 2 == 0]
str_1 = 'abc'
str_2 = 'def'
str_3 = 'gh'
new_... | [
"# генераторы списков и словарей\n\n# lists\nmy_list = [1, 2, 3, 4, 5]\nnew_list = []\nfor i in my_list:\n new_list.append(i**2)\n\nnew_list_comp = [el**2 for el in my_list]\n\nlines = [line.strip() for line in open(\"text.txt\")]\n\nnew_list_1 = [el for el in my_list if el % 2 == 0]\n\nstr_1 = 'abc'\nstr_2 = 'd... | false |
7,747 | cc66dcd34115e72479953ca24f4b2eaeb52cf313 | import socket
import json
import numpy as np
"""TCP client used to communicate with the Unity Application"""
class TCP:
def __init__(self, sock = None):
# Create a TCP socket
if sock is None:
self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
else:
self.s... | [
"import socket\nimport json\nimport numpy as np\n\n\"\"\"TCP client used to communicate with the Unity Application\"\"\"\n\nclass TCP:\n def __init__(self, sock = None):\n # Create a TCP socket\n if sock is None:\n self.sock = socket.socket(socket.AF_INET, socket.SOCK_STREAM)\n el... | false |
7,748 | 891a490410fd8c7b8879f1e71f24df2db62ff85d | import httplib
def get_status_code(host, path="/"):
try:
connect = httplib.HTTPConnection(host)
connect.request("HEAD", path)
return connect.getresponse().status
except StandardError:
return None
if __name__ == '__main__':
print get_status_code("google.com")
| [
"import httplib\n\ndef get_status_code(host, path=\"/\"):\n try:\n connect = httplib.HTTPConnection(host)\n connect.request(\"HEAD\", path)\n return connect.getresponse().status\n except StandardError:\n return None\n\nif __name__ == '__main__':\n print get_status_code(\"google.... | true |
7,749 | 056235f8f65a3d6a310ee8a8742c1369b5398f28 | #!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
One cycle policy based on Leslie Smith's paper(https://arxiv.org/pdf/1803.09820.pdf)
Created on Wed Mar 31 13:53:39 2021
"""
import logging
import numpy as np
import tensorflow as tf
import matplotlib.pyplot as plt
logging.getLogger('tensorflow').setLevel(logging.ERR... | [
"#!/usr/bin/env python3\n# -*- coding: utf-8 -*-\n\"\"\"\nOne cycle policy based on Leslie Smith's paper(https://arxiv.org/pdf/1803.09820.pdf)\nCreated on Wed Mar 31 13:53:39 2021\n\n\"\"\"\nimport logging\nimport numpy as np\nimport tensorflow as tf\nimport matplotlib.pyplot as plt\n\nlogging.getLogger('tensorflow... | false |
7,750 | 32bb6d5ad0a1398c9ab89190c087fe3916631878 | import ordenador
import pytest
import contatempo
class TestaOrdenador:
@pytest.fixture
def ordenad(self):
return ordenador.Ordenador()
@pytest.fixture
def list_quase_ord(self):
c = contatempo.ContaTempos()
return c.lista_quase_ordenada(100)
@pytest.fixture
def list_al... | [
"import ordenador\nimport pytest\nimport contatempo\n\nclass TestaOrdenador:\n\n @pytest.fixture\n def ordenad(self):\n return ordenador.Ordenador()\n\n @pytest.fixture\n def list_quase_ord(self):\n c = contatempo.ContaTempos()\n return c.lista_quase_ordenada(100)\n\n @pytest.fix... | false |
7,751 | fb4a95197882cc6fe72a5f3c2420a474d9cd97aa | # -*- coding: utf-8 -*-
import scrapy
import re
class LeedsAcUkSpider(scrapy.Spider):
name = 'leeds_ac_uk'
allowed_domains = ['webprod3.leeds.ac.uk']
start_urls = ['http://webprod3.leeds.ac.uk/catalogue/dynmodules.asp?Y=201920&M=ANAT-3105']
def parse(self, response):
item = {}
item['Su... | [
"# -*- coding: utf-8 -*-\nimport scrapy\nimport re\n\nclass LeedsAcUkSpider(scrapy.Spider):\n name = 'leeds_ac_uk'\n allowed_domains = ['webprod3.leeds.ac.uk']\n start_urls = ['http://webprod3.leeds.ac.uk/catalogue/dynmodules.asp?Y=201920&M=ANAT-3105']\n\n def parse(self, response):\n item = {}\n... | false |
7,752 | 98f36b216e718fc4fe42d1717ff9ba82cc24c2ff | def to_bitmask(n, bits):
# [2:] to chop off the "0b" part
mask = [int(digit) for digit in bin(n)[2:]]
# pad to fixed length
return [0] * (bits - len(mask)) + mask
def invert_mask(mask):
return [int(not bit) for bit in mask] | [
"def to_bitmask(n, bits):\n # [2:] to chop off the \"0b\" part\n mask = [int(digit) for digit in bin(n)[2:]] \n # pad to fixed length\n return [0] * (bits - len(mask)) + mask \n \ndef invert_mask(mask):\n return [int(not bit) for bit in mask]",
"def to_bitmask(n, bits):\n mask... | false |
7,753 | 923a433a3a04a8538b43d162d17d379daab4698a | #!/usr/bin/env python3
# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS"
# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE
# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
# DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT HOLDER OR ... | [
"#!/usr/bin/env python3\r\n\r\n# THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS \"AS IS\"\r\n# AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE\r\n# IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE\r\n# DISCLAIMED. IN NO EVENT SHALL THE COP... | false |
7,754 | 55a061a1c0cd20e5ab7413c671bc03573de1bbdf | #!/usr/bin/python3
"""
list = list(range(97, 123)
for (i in list):
if (i % 2 == 0):
i = (i - 32)
"""
for letter in "zYxWvUtSrQpOnMlKjIhGfEdCbA":
print('{:s}'.format(letter), end = "")
| [
"#!/usr/bin/python3\n\"\"\"\nlist = list(range(97, 123)\nfor (i in list):\n if (i % 2 == 0):\n i = (i - 32)\n\"\"\"\nfor letter in \"zYxWvUtSrQpOnMlKjIhGfEdCbA\":\n print('{:s}'.format(letter), end = \"\")\n",
"<docstring token>\nfor letter in 'zYxWvUtSrQpOnMlKjIhGfEdCbA':\n print('{:s}'.format(le... | false |
7,755 | 4ddff57790ad191fc29fc092bcc714f0b6273100 | # _*_ coding: utf-8 _*_
# 按层打印二叉树
class TreeNode(object):
def __init__(self, val):
self.val = val
self.left = None
self.right = None
class PrintTree(object):
def printTree(self, root):
if not root:
return
'''
定义next_last为下一层的最后一个，cur_last为当前层最后一个
... | [
"# _*_ coding: utf-8 _*_\n\n# 按层打印二叉树\n\n\nclass TreeNode(object):\n def __init__(self, val):\n self.val = val\n self.left = None\n self.right = None\n\n\nclass PrintTree(object):\n def printTree(self, root):\n if not root:\n return\n '''\n 定义next_last为下一层的... | false |
7,756 | d8e0198244c3df77fa0258cc97a55042e36d056f | """
默认查询所有
> db.test1000.find()
{ "_id" : ObjectId("5c3559ab648171cce9135dd6"), "name" : "zhangdapeng" }
{ "_id" : ObjectId("5c3559af648171cce9135dd7"), "name" : "zhangdapeng1" }
{ "_id" : ObjectId("5c3559b2648171cce9135dd8"), "name" : "zhangdapeng2" }
{ "_id" : ObjectId("5c3559b4648171cce9135dd9"),... | [
"\"\"\"\n默认查询所有\n > db.test1000.find()\n { \"_id\" : ObjectId(\"5c3559ab648171cce9135dd6\"), \"name\" : \"zhangdapeng\" }\n { \"_id\" : ObjectId(\"5c3559af648171cce9135dd7\"), \"name\" : \"zhangdapeng1\" }\n { \"_id\" : ObjectId(\"5c3559b2648171cce9135dd8\"), \"name\" : \"zhangdapeng2\" }\n { \"_id\"... | false |
7,757 | d1af148bc6b27d38052f2e57f1c610c86eccebef | #!/usr/bin/python3
import sys
import math
class parameter :
opt = 0
xp = 0
yp = 0
zp = 0
xv = 0
yv = 0
zv = 0
p = 0
def check_args() :
try :
int(sys.argv[1])
int(sys.argv[2])
int(sys.argv[3])
int(sys.argv[4])
int(sys.argv[5])
int(sys... | [
"#!/usr/bin/python3\n\nimport sys\nimport math\n\nclass parameter :\n opt = 0\n xp = 0\n yp = 0\n zp = 0\n xv = 0\n yv = 0\n zv = 0\n p = 0\n\ndef check_args() :\n try :\n int(sys.argv[1])\n int(sys.argv[2])\n int(sys.argv[3])\n int(sys.argv[4])\n int(sy... | false |
7,758 | 0f6512bb734336a67eab2f13949dd960f5ffc1d5 | from arma_scipy.fit import fit, predict
| [
"from arma_scipy.fit import fit, predict\n",
"<import token>\n"
] | false |
7,759 | ee47b60274ed2eb53a05203e0086d7815bcaaa6e | # -*- coding: utf-8 -*-
from sklearn.feature_extraction.text import TfidfVectorizer
import sentimentAnalysis as sA
import sys
import os
import numpy as np
from sklearn import decomposition
from gensim import corpora, models
if len(sys.argv) > 1:
keyword = sys.argv[1]
else:
keyword = 'data'
... | [
"# -*- coding: utf-8 -*-\r\n\r\nfrom sklearn.feature_extraction.text import TfidfVectorizer\r\nimport sentimentAnalysis as sA\r\nimport sys\r\nimport os\r\nimport numpy as np\r\nfrom sklearn import decomposition\r\nfrom gensim import corpora, models\r\n\r\nif len(sys.argv) > 1:\r\n keyword = sys.argv[1]\r\nelse:... | true |
7,760 | f507fbe7c92134c0a7149aafe7de88debebd42f5 | #파이썬 심화
#클래스 메소드, 인스턴스 메소드, 스테이틱 메소드
# 기본 인스턴스 메소드
class Student(object):
"""
Student Class
Author : Kim
Date : 2020.11.07
Description : Class, Static, Instance Method
"""
#Class Variable
tuition_per = 1.0
def __init__(self, id, first_name, last_name, email, grade... | [
"#파이썬 심화\r\n#클래스 메소드, 인스턴스 메소드, 스테이틱 메소드\r\n\r\n# 기본 인스턴스 메소드\r\n\r\nclass Student(object):\r\n \"\"\"\r\n Student Class\r\n Author : Kim\r\n Date : 2020.11.07\r\n Description : Class, Static, Instance Method\r\n \"\"\"\r\n\r\n #Class Variable\r\n tuition_per = 1.0\r\n\r\n def __init__(se... | false |
7,761 | 9dde8e5fd0e83860ee86cf5402ab6eeb5b07ab2c | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'qtGSD_DESIGN.ui'
#
# Created by: PyQt4 UI code generator 4.11.4
#
# WARNING! All changes made in this file will be lost!
from PyQt4 import QtCore, QtGui
try:
_fromUtf8 = QtCore.QString.fromUtf8
except AttributeError:
def _fromUtf8(... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'qtGSD_DESIGN.ui'\n#\n# Created by: PyQt4 UI code generator 4.11.4\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt4 import QtCore, QtGui\n\ntry:\n _fromUtf8 = QtCore.QString.fromUtf8\nexcept AttributeError:\n... | false |
7,762 | cd175c236dd1d1c7387a21a491e80d6723f161dc | import json
import urllib.request, urllib.parse, urllib.error
import xml.etree.ElementTree as ET
import ssl
ctx = ssl.create_default_context()
ctx.check_hostname = False
ctx.verify_mode = ssl.CERT_NONE
total=list()
url= input ('Enter Location: ') #user input url
print('Retrieving: ', url)
uh = urllib.request.urlope... | [
"import json\nimport urllib.request, urllib.parse, urllib.error\nimport xml.etree.ElementTree as ET\nimport ssl\n\nctx = ssl.create_default_context()\nctx.check_hostname = False\nctx.verify_mode = ssl.CERT_NONE\n\ntotal=list()\n\nurl= input ('Enter Location: ') #user input url\nprint('Retrieving: ', url)\nuh = url... | false |
7,763 | 33c0efb47e3253442b6a808c7ebffac275c19321 | from pylab import *
import pandas as pd
from matplotlib import pyplot
import pylab
from mpl_toolkits.mplot3d import Axes3D
from threading import Thread
from threading import Semaphore
from threading import Lock
from Queue import Queue
sam = Semaphore(1)
lck = Lock()
q=Queue(10)
def myFunc(z):
#if z%2==0 and z>1:
... | [
"from pylab import *\nimport pandas as pd\nfrom matplotlib import pyplot\nimport pylab\nfrom mpl_toolkits.mplot3d import Axes3D\nfrom threading import Thread\nfrom threading import Semaphore\nfrom threading import Lock\nfrom Queue import Queue\nsam = Semaphore(1)\n\nlck = Lock()\nq=Queue(10)\n\ndef myFunc(z):\n ... | true |
7,764 | 512a13084a860e2784020664a3d5824d9dace6db | from django.db import models
import django.utils.timezone as timezone
# Create your models here.
# Create your models here.
class Categories(models.Model):
# 文章分类
name = models.CharField(max_length=200, verbose_name = "分类名称")
parent = models.ForeignKey('self', default=0, on_delete=models.DO_NOTHING, null = True... | [
"from django.db import models\nimport django.utils.timezone as timezone\n\n# Create your models here.\n\n# Create your models here.\nclass Categories(models.Model):\n # 文章分类\n name = models.CharField(max_length=200, verbose_name = \"分类名称\")\n parent = models.ForeignKey('self', default=0, on_delete=models.DO_NOTH... | false |
7,765 | 91f3aae4e74f371cadaf10385510bc1c80063f55 | import sys
import time
def initialize(x: object) -> object:
# Create initialization data and take a lot of time
data = []
starttimeinmillis = int(round(time.time()))
c =0
file1 = sys.argv[x]
with open(file1) as datafile:
for line in datafile:
c+=1
if(c%100==0):
... | [
"import sys\nimport time\ndef initialize(x: object) -> object:\n # Create initialization data and take a lot of time\n\n data = []\n starttimeinmillis = int(round(time.time()))\n\n c =0\n file1 = sys.argv[x]\n with open(file1) as datafile:\n for line in datafile:\n c+=1\n ... | false |
7,766 | dc5630e17bb6ed85157b06108250427be41416d1 |
def ddm_dd_convert(coord, direction):
"""Converts GPS reading from DDM to DD
str coord - the ddm coordinate from $GPGGA
str direction - the direction of the coord (N,S,W,E)
returns - string representation of dd coordinate
"""
value = ''
if (direction == 'S' or direction =... | [
"\r\n\r\ndef ddm_dd_convert(coord, direction):\r\n \"\"\"Converts GPS reading from DDM to DD\r\n str coord - the ddm coordinate from $GPGGA\r\n str direction - the direction of the coord (N,S,W,E)\r\n returns - string representation of dd coordinate\r\n \"\"\"\r\n value = ''\r\n if (di... | false |
7,767 | 6c0a1d4ffd64e0566be53937d9b48975f2530852 | import matplotlib.pyplot as plotOp
import numpy as np
from random import randint
import re as regexOp | [
"import matplotlib.pyplot as plotOp\r\nimport numpy as np\r\nfrom random import randint\r\nimport re as regexOp",
"import matplotlib.pyplot as plotOp\nimport numpy as np\nfrom random import randint\nimport re as regexOp\n",
"<import token>\n"
] | false |
7,768 | d2af2b25a1ba2db93c977a13fe0273919bc2e6e0 | from DataStructures.BST.util import *
def storeInorder(root, inorder):
if root is None:
return
storeInorder(root.left, inorder)
inorder.append(root.data)
storeInorder(root.right, inorder)
def arrayToBST(arr, root):
# Base Case
if root is None:
return
# First update the ... | [
"from DataStructures.BST.util import *\n\n\ndef storeInorder(root, inorder):\n if root is None:\n return\n\n storeInorder(root.left, inorder)\n inorder.append(root.data)\n storeInorder(root.right, inorder)\n\n\ndef arrayToBST(arr, root):\n # Base Case\n if root is None:\n return\n\n ... | false |
7,769 | 0d862715524bd35347626e7708c7c8f8b370bb3a | import sklearn
import pandas as pd
import numpy as np
from sklearn import datasets, ensemble
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import train_test_split
import statistics as st
import itertools
from sklearn.model_selection import cross_val_score
from sklearn.experimen... | [
"import sklearn\r\nimport pandas as pd \r\n\r\nimport numpy as np\r\nfrom sklearn import datasets, ensemble\r\nfrom sklearn.metrics import mean_squared_error\r\nfrom sklearn.model_selection import train_test_split\r\nimport statistics as st\r\nimport itertools\r\nfrom sklearn.model_selection import cross_val_score\... | false |
7,770 | 38504dae7b010c2df8c16b752c2179b6b3561c0e | # day one question 1 solution
# find product of two numbers in input.txt list that sum to 2020
# pull everything out of input file
nums = []
with open('input.txt', 'r') as file:
for line in file:
nums.append(int(line))
target = 0
product = 0
# for each number in the input, figure out what it's complement... | [
"# day one question 1 solution\n# find product of two numbers in input.txt list that sum to 2020\n\n# pull everything out of input file\nnums = []\nwith open('input.txt', 'r') as file:\n for line in file:\n nums.append(int(line))\n\ntarget = 0\nproduct = 0\n\n# for each number in the input, figure out wha... | false |
7,771 | f8972067fa88e7e74e05cdcc7bdec184116dec4a | import os
import random
import argparse
from vapory import *
from data import colors, object_types
class Torus(POVRayElement):
""""""
def render_scene(filename, object_type, color, location, rotation):
assert (object_type in object_types)
assert (color in colors)
color = colors[color]
size = ... | [
"import os\nimport random\nimport argparse\n\nfrom vapory import *\n\nfrom data import colors, object_types\n\n\nclass Torus(POVRayElement):\n \"\"\"\"\"\"\n\n\ndef render_scene(filename, object_type, color, location, rotation):\n assert (object_type in object_types)\n assert (color in colors)\n\n color... | false |
7,772 | 305133d4840741bd5c318a99a96660d8988dd61a | # Copyright (C) 2020 Claudio Marques - All Rights Reserved
dataset_path = "data/output/dataset{toReplace}.csv"
dataset_path_final = "data/output/final/datasetFinal.csv"
log_path = "data/logs/output_append.log"
numberOfThreads = 45
inputFileMalign = "data/input/malign/all.log"
outputFileMalign = "data/output/fil... | [
"# Copyright (C) 2020 Claudio Marques - All Rights Reserved\r\ndataset_path = \"data/output/dataset{toReplace}.csv\"\r\ndataset_path_final = \"data/output/final/datasetFinal.csv\"\r\nlog_path = \"data/logs/output_append.log\"\r\nnumberOfThreads = 45\r\n\r\ninputFileMalign = \"data/input/malign/all.log\"\r\noutputFi... | false |
7,773 | 1c9345923fe83aa0ee7165ce181ce05ac55e2b2f | class Action(dict):
def __init__(self, action, player=None, target=None):
self['action'] = action
self['player'] = player
if target != None:
self['target'] = target
| [
"class Action(dict):\n def __init__(self, action, player=None, target=None):\n self['action'] = action\n self['player'] = player\n if target != None:\n self['target'] = target\n ",
"class Action(dict):\n\n def __init__(self, action, player=None, target=None):\n self... | false |
7,774 | 8475792cc2d55f030f0bd9e7d0240e3b59ed996b | import os
import numpy
import matplotlib.pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
def plotObject(obj):
fig = plt.figure()
ax = fig.add_subplot(111, projection='3d')
x,y,z = numpy.nonzero(obj>0)
ax.scatter(x,y,z,c='r',s=10)
xb,yb,zb = numpy.nonzero(obj<0)
ax.scatter(xb,yb,zb,c='b',s=1)
plt.show()
c... | [
"import os\nimport numpy\nimport matplotlib.pyplot as plt\nfrom mpl_toolkits.mplot3d import Axes3D\n\ndef plotObject(obj):\n\tfig = plt.figure()\n\tax = fig.add_subplot(111, projection='3d')\n\tx,y,z = numpy.nonzero(obj>0)\n\tax.scatter(x,y,z,c='r',s=10)\n\txb,yb,zb = numpy.nonzero(obj<0)\n\tax.scatter(xb,yb,zb,c='... | false |
7,775 | dcb12e282962c63f8e7de5d29c4c81ad177a387e | import heapq
class Solution: #priority queue
# def sortElemsByFrequency(self, arr):
# if arr:
# mydict = {}
# for k,v in enumerate(arr):
# mydict[v] = mydict.get(v, 0) + 1
# sorted_dict = sorted(mydict.items(), key = lambda x:x[1])
# return sorted_dict
def sortElemsByFrequen... | [
"import heapq\nclass Solution: #priority queue\n # def sortElemsByFrequency(self, arr):\n # if arr:\n # mydict = {}\n # for k,v in enumerate(arr):\n # mydict[v] = mydict.get(v, 0) + 1\n # sorted_dict = sorted(mydict.items(), key = lambda x:x[1])\n # return sorted_dict\n\n def sor... | false |
7,776 | 7451b09c54734fb02167d43b96df972420d86853 | import sys
from domain import *
from fuzzy_set import *
from parser import *
class FuzzyControler(object):
def __init__(self, angle_rules, acc_rules, domains_angle, domains_acc):
self.angle_rules = angle_rules
self.acc_rules = acc_rules
self.domains_angle = domains_angle
self.domains_acc = domains_acc
s... | [
"import sys\n\nfrom domain import *\nfrom fuzzy_set import *\nfrom parser import *\n\nclass FuzzyControler(object):\n\n\tdef __init__(self, angle_rules, acc_rules, domains_angle, domains_acc):\n\n\t\tself.angle_rules = angle_rules\n\t\tself.acc_rules = acc_rules\n\t\tself.domains_angle = domains_angle\n\t\tself.dom... | true |
7,777 | a9eb2b3f26396918c792de3f126e51bde334b709 | #!/usr/bin/env python3
# given a set A and n other sets.
# find whether set A is a strict superset of each of the n sets
# print True if yes, otherwise False
A = set(map(int, input().split()))
b = []
for _ in range(int(input())):
b.append(A > set(map(int, input().split())))
print(all(b))
| [
"#!/usr/bin/env python3\n\n# given a set A and n other sets.\n# find whether set A is a strict superset of each of the n sets\n# print True if yes, otherwise False\n\nA = set(map(int, input().split()))\nb = []\nfor _ in range(int(input())):\n b.append(A > set(map(int, input().split())))\n\nprint(all(b))\n",
"A... | false |
7,778 | 084c9ad83091f6f96d19c0f0c28520ccda93bbaf | import base64
import bleach
import errno
import fcntl
import gzip
import hashlib
import importlib
import inspect
import magic
import mimetypes
import morepath
import operator
import os.path
import re
import shutil
import sqlalchemy
import urllib.request
from markupsafe import Markup
from collections.abc import Iterabl... | [
"import base64\nimport bleach\nimport errno\nimport fcntl\nimport gzip\nimport hashlib\nimport importlib\nimport inspect\nimport magic\nimport mimetypes\nimport morepath\nimport operator\nimport os.path\nimport re\nimport shutil\nimport sqlalchemy\nimport urllib.request\n\nfrom markupsafe import Markup\nfrom collec... | false |
7,779 | b9386cf8c17b28fd1fea6e587ca4401de247cbea | #!/usr1/local/bin/python
import os, sys, re, shutil, random
from tempfile import *
# program location
prog_dir = '/home/jpei/test_promals3d_package/bar/promals_package/bin/'
# program names
promals_web = prog_dir + "progress_for_web.py"
csv_cutoff_g = 5
alphabet = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUV... | [
"#!/usr1/local/bin/python\n\nimport os, sys, re, shutil, random\nfrom tempfile import *\n\n\n# program location\nprog_dir = '/home/jpei/test_promals3d_package/bar/promals_package/bin/'\n\n# program names\npromals_web = prog_dir + \"progress_for_web.py\"\n\ncsv_cutoff_g = 5\n\nalphabet = 'abcdefghijklmnopqrstuvwxyzA... | true |
7,780 | 4c5416582afb3cfeb56259954cda2701ea26f8cd | # -*- coding: utf-8 -*-
"""
helpers
~~~~~~~
Implements various helper functions.
:copyright: (c) 2016 by Patrick Spencer.
:license: Apache 2.0, see LICENSE for more details.
"""
from datetime import datetime, timedelta
import calendar
def month_bounds(year, month):
"""
Returns a tuple of ... | [
"# -*- coding: utf-8 -*-\n\"\"\"\n helpers\n ~~~~~~~\n Implements various helper functions.\n\n :copyright: (c) 2016 by Patrick Spencer.\n :license: Apache 2.0, see LICENSE for more details.\n\"\"\"\n\nfrom datetime import datetime, timedelta\nimport calendar\n\ndef month_bounds(year, month):\n \"... | false |
7,781 | 730aaa0404a0c776ce4d3a351f292f90768b6867 | import re
def parse_rule(rule):
elem_regex = re.compile("(\d+) (.*) bags?.*")
rule = rule[:-1]
color, inside = tuple(rule.split(" bags contain"))
result = []
for element in inside.split(","):
match = elem_regex.search(element)
if match:
result.append((match.gro... | [
"import re\r\n\r\ndef parse_rule(rule):\r\n elem_regex = re.compile(\"(\\d+) (.*) bags?.*\")\r\n rule = rule[:-1]\r\n color, inside = tuple(rule.split(\" bags contain\"))\r\n result = []\r\n for element in inside.split(\",\"):\r\n match = elem_regex.search(element)\r\n if match:\r\n ... | false |
7,782 | c99878dbd5610c8a58f00912e111b1eef9d3893e | from os import path
from sklearn.model_selection import StratifiedShuffleSplit
from sklearn.pipeline import Pipeline
from sta211.datasets import load_train_dataset, load_test_dataset, find_best_train_dataset
from sklearn.model_selection import GridSearchCV
from sta211.selection import get_naive_bayes, get_mlp, get_svm,... | [
"from os import path\nfrom sklearn.model_selection import StratifiedShuffleSplit\nfrom sklearn.pipeline import Pipeline\nfrom sta211.datasets import load_train_dataset, load_test_dataset, find_best_train_dataset\nfrom sklearn.model_selection import GridSearchCV\nfrom sta211.selection import get_naive_bayes, get_mlp... | false |
7,783 | 187c2a56ba9360b89c8ded09861091e2deedf32e | import os, sys, shutil
import fnmatch, logging, zipfile
logging.basicConfig(format='%(asctime)s [%(levelname)s] %(message)s', datefmt='%Y-%m-%d,%H:%M:%S', level=logging.DEBUG)
def scan_files(dir, pattern):
fileList = []
for root, subFolders, files in os.walk(dir):
for file in files:
... | [
"import os, sys, shutil \r\nimport fnmatch, logging, zipfile\r\n\r\nlogging.basicConfig(format='%(asctime)s [%(levelname)s] %(message)s', datefmt='%Y-%m-%d,%H:%M:%S', level=logging.DEBUG)\r\n\r\ndef scan_files(dir, pattern):\r\n fileList = []\r\n for root, subFolders, files in os.walk(dir):\r\n for fil... | false |
7,784 | a63e5186c0eb8b5ae8510b473168db3461166513 | from django.views.generic import (ListView, DetailView, CreateView,
DeleteView, UpdateView, TemplateView)
from django.views.generic.edit import ModelFormMixin
from django.urls import reverse_lazy
from django.utils.decorators import method_decorator
from django.contrib.auth.decorators i... | [
"from django.views.generic import (ListView, DetailView, CreateView,\n DeleteView, UpdateView, TemplateView)\nfrom django.views.generic.edit import ModelFormMixin\nfrom django.urls import reverse_lazy\nfrom django.utils.decorators import method_decorator\nfrom django.contrib.auth.de... | false |
7,785 | 7f63097265b1058785e90441f85b7f0088946717 | # -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('guac_auth', '0001_initial'),
]
operations = [
migrations.RemoveField(
model_name='guacamoleconnectiongroup',
... | [
"# -*- coding: utf-8 -*-\nfrom __future__ import unicode_literals\n\nfrom django.db import migrations, models\n\n\nclass Migration(migrations.Migration):\n\n dependencies = [\n ('guac_auth', '0001_initial'),\n ]\n\n operations = [\n migrations.RemoveField(\n model_name='guacamoleco... | false |
7,786 | 053fa80c80d40cd28acb7d6a8bf1b2c30be9b36e | from PIL import Image, ImageDraw, ImageFont
import sys
### Create 1024,1024 pixel image with a white background.
img = Image.new("RGB", (1024, 1024), color = (255,255,255))
### Take text to be drawn on the image from the command terminal.
text = sys.argv[1]
### Chose favourite font and set size of the font.
fnt = Im... | [
"from PIL import Image, ImageDraw, ImageFont\nimport sys\n\n### Create 1024,1024 pixel image with a white background.\nimg = Image.new(\"RGB\", (1024, 1024), color = (255,255,255))\n\n### Take text to be drawn on the image from the command terminal.\ntext = sys.argv[1]\n\n### Chose favourite font and set size of th... | false |
7,787 | 4f9729e396e01cb3d6c9011f79a1ebe618a8e762 | import os
import subprocess
import discord
import asyncio
import traceback
import sys
import ast
from discord.ext import commands
# Import Cogs
from cogs.misc import Miscellaneous
from cogs.serversettings import ServerSettings
from cogs.mod import Moderator
from cogs.automod import AutoMod
from cogs.google import Goo... | [
"import os\nimport subprocess\nimport discord\nimport asyncio\nimport traceback\nimport sys\nimport ast\n\nfrom discord.ext import commands\n\n# Import Cogs\nfrom cogs.misc import Miscellaneous\nfrom cogs.serversettings import ServerSettings\nfrom cogs.mod import Moderator\nfrom cogs.automod import AutoMod\nfrom co... | false |
7,788 | 2440f5bc774f2e2f746a246cbb2e305965c9e576 | from __future__ import absolute_import
from django.conf.urls import patterns, url
from sentry_plugins.jira_ac.views import JiraConfigView, \
JiraDescriptorView, JiraInstalledCallback, JiraUIWidgetView
urlpatterns = patterns(
'',
url(r'^plugin$', JiraUIWidgetView.as_view()),
url(r'^config$', JiraConfi... | [
"from __future__ import absolute_import\n\nfrom django.conf.urls import patterns, url\n\nfrom sentry_plugins.jira_ac.views import JiraConfigView, \\\n JiraDescriptorView, JiraInstalledCallback, JiraUIWidgetView\n\nurlpatterns = patterns(\n '',\n url(r'^plugin$', JiraUIWidgetView.as_view()),\n url(r'^con... | false |
7,789 | 937a101cf5c7e943fc62d18b77357eea151fdfaf | cardlist = []
card = []
for j in range(1,5):
for k in range(1,14):
if j == 1:
cardlist.append(["S", "{}".format(k)])
elif j == 2:
cardlist.append(["H", "{}".format(k)])
elif j == 3:
cardlist.append(["C", "{}".format(k)])
elif j == 4:
c... | [
"cardlist = []\ncard = []\n\nfor j in range(1,5):\n for k in range(1,14):\n if j == 1:\n cardlist.append([\"S\", \"{}\".format(k)])\n elif j == 2:\n cardlist.append([\"H\", \"{}\".format(k)])\n elif j == 3:\n cardlist.append([\"C\", \"{}\".format(k)])\n ... | false |
7,790 | 856a27e953a6b4e1f81d02e00717a8f95a7dea5f | import cv2
# open webcam (웹캠 열기)
webcam = cv2.VideoCapture(0)
if not webcam.isOpened():
print("Could not open webcam")
exit()
sample_num = 0
captured_num = 0
# loop through frames
while webcam.isOpened():
# read frame from webcam
status, frame = webcam.read()
sample_num = s... | [
"import cv2\n \n# open webcam (웹캠 열기)\nwebcam = cv2.VideoCapture(0)\n \nif not webcam.isOpened():\n print(\"Could not open webcam\")\n exit()\n \n \nsample_num = 0 \ncaptured_num = 0\n \n# loop through frames\nwhile webcam.isOpened():\n \n # read frame from webcam \n status, frame = webcam.r... | false |
7,791 | 2060f0af351c1487f8aa45943dbaa050f4291c58 | from typing import Any, Callable, Generator, List, Optional
import pytest
from _pytest import nodes
from _pytest.config import hookimpl
from _pytest.python import Function, PyCollector # type: ignore
from hypothesis.errors import InvalidArgument # pylint: disable=ungrouped-imports
from .._hypothesis import create_t... | [
"from typing import Any, Callable, Generator, List, Optional\n\nimport pytest\nfrom _pytest import nodes\nfrom _pytest.config import hookimpl\nfrom _pytest.python import Function, PyCollector # type: ignore\nfrom hypothesis.errors import InvalidArgument # pylint: disable=ungrouped-imports\n\nfrom .._hypothesis im... | false |
7,792 | 0110d26e17a5402c22f519d0aeb2aacca3279d00 | import datetime
now = datetime.datetime.now()
# Printing value of now.
print ("Time now : ", now)
| [
"import datetime \r\n\r\nnow = datetime.datetime.now() \r\n \r\n# Printing value of now. \r\nprint (\"Time now : \", now) \r\n",
"import datetime\nnow = datetime.datetime.now()\nprint('Time now : ', now)\n",
"<import token>\nnow = datetime.datetime.now()\nprint('Time now : ', now)\n",
"<import token>\n... | false |
7,793 | 3583ce664bc9f42ef8f751de8642997819e08e31 | # -*- coding: utf-8 -*-
import scrapy
import re
import time
import random
import hashlib
from quotetutorial.items import ScrapyItem
import requests
import os
import io
import sys
# 科学技术部
class MostSpider(scrapy.Spider):
index = 12
name = 'most'
allowed_domains = ['www.most.gov.cn']
start_urls = [
... | [
"# -*- coding: utf-8 -*-\nimport scrapy\nimport re\nimport time\nimport random\nimport hashlib\nfrom quotetutorial.items import ScrapyItem\nimport requests\nimport os\nimport io\nimport sys\n\n\n# 科学技术部\nclass MostSpider(scrapy.Spider):\n index = 12\n name = 'most'\n allowed_domains = ['www.most.gov.cn']\n... | false |
7,794 | 5711613df0bda10512466f147febcffacfe1607b | # [BEGIN IMPORTS]
from mainhandler import MainHandler
from sec.data import *
# [END IMPORTS]
class UpVoteHandler (MainHandler):
def get(self):
user = self.get_user()
if user:
post_id = self.request.get('post_id')
post = PostData.get_by_id(int(post_id))
voter_l... | [
"# [BEGIN IMPORTS]\nfrom mainhandler import MainHandler\nfrom sec.data import *\n# [END IMPORTS]\n\n\nclass UpVoteHandler (MainHandler):\n\n def get(self):\n user = self.get_user()\n if user:\n post_id = self.request.get('post_id')\n post = PostData.get_by_id(int(post_id))\n\n... | false |
7,795 | c58bfa620df9f1b1f31c83a76d0d8a4576cbd535 | #!/usr/bin/env python
from scapy.all import *
from optparse import OptionParser
import socket
import struct
class MagicARP:
def __init__(self, iface):
self.iface = iface
self.macrecs = {}
def magic_arp(self, pkt):
# only look for queries
if ARP in pkt and pkt[ARP].op == 1:
# Get a rand... | [
"#!/usr/bin/env python\n\nfrom scapy.all import *\nfrom optparse import OptionParser\nimport socket\nimport struct\n\n\n\n\t\nclass MagicARP:\n\t\n\tdef __init__(self, iface):\n\t\t\n\t\tself.iface = iface\n\t\tself.macrecs = {}\n\t\t\n\t\t\n\tdef magic_arp(self, pkt):\n\t\t# only look for queries\n\t\tif ARP in pk... | true |
7,796 | e31f1e24c319f338d728661dfd50e758526112d6 | import pygame
from settings import *
import random
class Cell:
def __init__(self, game, x, y, bombs):
self.game = game
self.x = x
self.y = y
self.i = x // TILESIZE
self.j = y // TILESIZE
self.revelada = False
self.bomba = False
self.bombas_total = bo... | [
"import pygame\nfrom settings import *\nimport random\n\n\nclass Cell:\n def __init__(self, game, x, y, bombs):\n self.game = game\n self.x = x\n self.y = y\n self.i = x // TILESIZE\n self.j = y // TILESIZE\n self.revelada = False\n self.bomba = False\n sel... | false |
7,797 | 679d4b224733dbe264caeeda4e228edd090ea9de | # coding=UTF-8
'''
Created on Jul 21, 2013
@author: jin
'''
from django import template
register = template.Library()
@register.filter
def get_list_number(value,num):
result=value[num]
return result
# register.filter('get_list_num', get_list_num)
'''
test
'''
if __name__=='__main__':
print get_list_numb... | [
"# coding=UTF-8\n'''\nCreated on Jul 21, 2013\n\n@author: jin\n'''\nfrom django import template\nregister = template.Library()\n@register.filter\ndef get_list_number(value,num):\n result=value[num]\n return result\n# register.filter('get_list_num', get_list_num) \n\n'''\ntest\n'''\nif __name__=='__main__':\n... | true |
7,798 | 3035ac8044b5629d0b5de7934e46890ad36ed551 | from nltk.tokenize import RegexpTokenizer
from stop_words import get_stop_words
from nltk.stem.porter import PorterStemmer
from gensim import corpora, models
import gensim
tokenizer = RegexpTokenizer(r'\w+')
# create English stop words list
en_stop = get_stop_words('en')
# Create p_stemmer of class PorterStemmer
p_s... | [
"from nltk.tokenize import RegexpTokenizer\nfrom stop_words import get_stop_words\nfrom nltk.stem.porter import PorterStemmer\nfrom gensim import corpora, models\nimport gensim\n\ntokenizer = RegexpTokenizer(r'\\w+')\n\n# create English stop words list\nen_stop = get_stop_words('en')\n\n# Create p_stemmer of class ... | false |
7,799 | 4745c00ca0f3ca4316117228a9d44bdb5df02877 |
def lucas():
yield 2
a = 2
b = 1
while True:
yield b
a, b = b, a + b
l = lucas()
for i in range(10):
print('{}: {}'.format(i,next(l))) | [
"\n\ndef lucas():\n yield 2\n a = 2\n b = 1\n while True:\n yield b\n a, b = b, a + b\n\n\nl = lucas()\nfor i in range(10):\n print('{}: {}'.format(i,next(l)))",
"def lucas():\n yield 2\n a = 2\n b = 1\n while True:\n yield b\n a, b = b, a + b\n\n\nl = lucas(... | false |
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