index int64 0 100k | blob_id stringlengths 40 40 | code stringlengths 7 7.27M | steps listlengths 1 1.25k | error bool 2
classes |
|---|---|---|---|---|
9,400 | 451c353a949458f5f71783c4aba1888c40018bfa | from rest_framework import serializers
from . import models
class RaumSerializer(serializers.ModelSerializer):
class Meta:
model = models.Raum
fields = [
"Raumnummer",
"Anzahl_Sitzplaetze",
"Beamer",
"Whiteboard",
]
class ZeitraumSerialize... | [
"from rest_framework import serializers\n\nfrom . import models\n\n\nclass RaumSerializer(serializers.ModelSerializer):\n\n class Meta:\n model = models.Raum\n fields = [\n \"Raumnummer\",\n \"Anzahl_Sitzplaetze\",\n \"Beamer\",\n \"Whiteboard\",\n ... | false |
9,401 | 971187dc0e0f02282c8945940d07c011e247667a | """
Kontrollülesanne 7.4c - Elutee number (tähtaeg 28.okt. (incl))
Maksimaalne failide arv: 1
Töö liik: Individuaaltöö
Numeroloogias peetakse tähtsaks elutee numbrit, mille arvutamiseks tuleb liita kokku sünnikuupäeva ja -aasta numbrid
nii, et jõutakse lõpuks ühe numbrini.
Näiteks, oletame, et sünnikuupäev on 15.05.... | [
"\"\"\"\nKontrollülesanne 7.4c - Elutee number (tähtaeg 28.okt. (incl))\nMaksimaalne failide arv: 1\nTöö liik: Individuaaltöö\n\n\nNumeroloogias peetakse tähtsaks elutee numbrit, mille arvutamiseks tuleb liita kokku sünnikuupäeva ja -aasta numbrid\nnii, et jõutakse lõpuks ühe numbrini.\n\nNäiteks, oletame, et sünni... | false |
9,402 | 6d042a2035eab579193452e4dc44c425125d9515 | from flask_restful import Resource, reqparse
import nltk
from nltk.tokenize import sent_tokenize
tokenizer = nltk.RegexpTokenizer(r"\w+")
# CLASS DESCRIPTION:
# Devides and clears the sentence of punctuation marks and builds a dependency tree on each sentence
# Allocates its own names and verbs
# added: Te... | [
"from flask_restful import Resource, reqparse\nimport nltk\nfrom nltk.tokenize import sent_tokenize\ntokenizer = nltk.RegexpTokenizer(r\"\\w+\")\n\n# CLASS DESCRIPTION:\n # Devides and clears the sentence of punctuation marks and builds a dependency tree on each sentence\n # Allocates its own names and verbs\... | false |
9,403 | 1930aa258ac4fbcdb2972e19bdb2625d2dae4114 | from console import Display
import time
images = ["/img/erni_l.txt", "/img/erni_s.txt", "/img/erni_logo.txt", "/img/github_logo.txt",
"/img/upython_logo.txt", "/img/python_logo.txt", "/img/upython_logo_s.txt",
"/img/MSC_logo.txt"]
def show():
oled = Display()
for image in images:
... | [
"from console import Display\nimport time\n\nimages = [\"/img/erni_l.txt\", \"/img/erni_s.txt\", \"/img/erni_logo.txt\", \"/img/github_logo.txt\",\n \"/img/upython_logo.txt\", \"/img/python_logo.txt\", \"/img/upython_logo_s.txt\",\n \"/img/MSC_logo.txt\"]\n\n\ndef show():\n \n oled = Display... | false |
9,404 | fe73a80b15cad025a33930ddd9abb31524cd0244 | # coding: utf-8
from __future__ import (
absolute_import,
division,
print_function,
unicode_literals,
)
import time
from urllib import urlencode
from urlparse import parse_qs, urlparse, urlunparse
from flask import current_app as app
from flask import url_for
from jose import jwt
from oauth2client.cl... | [
"# coding: utf-8\n\nfrom __future__ import (\n absolute_import,\n division,\n print_function,\n unicode_literals,\n)\n\nimport time\nfrom urllib import urlencode\nfrom urlparse import parse_qs, urlparse, urlunparse\n\nfrom flask import current_app as app\nfrom flask import url_for\nfrom jose import jwt\... | false |
9,405 | d1a179acfda9e76a11f362671fafb50773e2b9d3 | # -- !/python3.10
# Mikhail (myke) Kolodin, 2021
# 2021-10-21 2021-10-21 1.2
# retext.py
# Заменить во входном тексте указанное слово на случайный вариант
# из предложенного набора заменителей.
# Параметры - в командной строке.
import re, random, sys
fin = 'retext-in.txt'
fot = 'retext-out.txt'
t1 = """
here we go... | [
"# -- !/python3.10\n\n# Mikhail (myke) Kolodin, 2021\n# 2021-10-21 2021-10-21 1.2\n# retext.py\n# Заменить во входном тексте указанное слово на случайный вариант\n# из предложенного набора заменителей.\n# Параметры - в командной строке.\n\nimport re, random, sys\n\nfin = 'retext-in.txt'\nfot = 'retext-out.txt'\n\n... | false |
9,406 | 5c5922fd3a7a5eec121d94e69bc972089e435175 |
#################################################
### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###
#################################################
# file to edit: dev_nb/10_DogcatcherFlatten.ipynb
import pandas as pd
import argparse
import csv
import os
import numpy as np
import string
def FivePrimeArea(df):
... | [
"\n#################################################\n### THIS FILE WAS AUTOGENERATED! DO NOT EDIT! ###\n#################################################\n# file to edit: dev_nb/10_DogcatcherFlatten.ipynb\nimport pandas as pd\nimport argparse\nimport csv\nimport os\n\nimport numpy as np\nimport string\n\ndef FiveP... | false |
9,407 | 1c2967c26c845281ceb46cc1d8c06768298ef6b6 | import numpy as np
import pandas as pd
from unrar import rarfile
import numpy as np
import pandas as pd
import tushare as ts
import os
year_month='201911'
contract_kind='NI'
rar_data_file_path='C:/Users/lenovo/Documents/WeChat Files/yiranli13/FileStorage/File/2020-01/'
main_code_path='C:/Users/lenovo/Documents/WeCha... | [
"import numpy as np \nimport pandas as pd\nfrom unrar import rarfile\nimport numpy as np \nimport pandas as pd\nimport tushare as ts\nimport os\n\nyear_month='201911'\ncontract_kind='NI'\nrar_data_file_path='C:/Users/lenovo/Documents/WeChat Files/yiranli13/FileStorage/File/2020-01/'\nmain_code_path='C:/Users/lenovo... | false |
9,408 | ba42c6af53329035f7ab72f3f1ac87cd90d9dc7f | # difference between size an shape of an image
import cv2
img = cv2.imread('police.jpg')
print img.size # byte size; slightly larger than the file size
print img.shape # y,x or rows, cols
cv2.imshow("My Picture", img)
cv2.waitKey(0)
cv2.destroyAllWindows() | [
"# difference between size an shape of an image\r\n\r\nimport cv2\r\n\r\nimg = cv2.imread('police.jpg')\r\nprint img.size # byte size; slightly larger than the file size\r\nprint img.shape # y,x or rows, cols\r\n\r\ncv2.imshow(\"My Picture\", img)\r\ncv2.waitKey(0)\r\ncv2.destroyAllWindows()"
] | true |
9,409 | 9ffe350ff9a568111620ef7dafef83d341f6f01e | # -*- coding: utf-8 -*-
# https://github.com/Raschka-research-group/coral-cnn/tree/master/model-code/resnet34
from absl import flags, app
from Rank_consistent_model_fix import *
from Rank_consistent_model import *
from random import shuffle, random
import tensorflow as tf
import numpy as np
# import cv2
import os
impo... | [
"# -*- coding: utf-8 -*-\n# https://github.com/Raschka-research-group/coral-cnn/tree/master/model-code/resnet34\nfrom absl import flags, app\nfrom Rank_consistent_model_fix import *\nfrom Rank_consistent_model import *\nfrom random import shuffle, random\n\nimport tensorflow as tf\nimport numpy as np\n# import cv2\... | false |
9,410 | 8c7fe90972feec19e280d3bccd39391af666608a | def play():
print("playing tank games...")
print("runing tank now!!!") | [
"def play():\n print(\"playing tank games...\")\nprint(\"runing tank now!!!\")",
"def play():\n print('playing tank games...')\n\n\nprint('runing tank now!!!')\n",
"def play():\n print('playing tank games...')\n\n\n<code token>\n",
"<function token>\n<code token>\n"
] | false |
9,411 | f9dd20a3b72c0c8e72029459244486f31eaff536 | import dash_html_components as html
import dash_core_components as dcc
import dash_daq as daq
import dash_bootstrap_components as dbc
import src.common.common_layout as layout_common
def build_navbar():
return html.Div(
id="banner",
children=[
html.Div(
id="banner-text... | [
"import dash_html_components as html\nimport dash_core_components as dcc\nimport dash_daq as daq\nimport dash_bootstrap_components as dbc\n\nimport src.common.common_layout as layout_common\n\n\ndef build_navbar():\n return html.Div(\n id=\"banner\",\n children=[\n html.Div(\n ... | false |
9,412 | a0d1ef11d00e2ddd65b648a87f493b7adcda5115 | class RankedHand(object):
def __init__(self, remaining_cards):
self._remaining_cards = remaining_cards
self.rank = None
def remaining_cards(self):
return self._remaining_cards
# Returns 1 if self is higher, 0 if equal, -1 if self is lower
def compare_high_cards(self, other):
s_cards = reversed... | [
"class RankedHand(object):\n def __init__(self, remaining_cards):\n self._remaining_cards = remaining_cards\n self.rank = None\n\n def remaining_cards(self):\n return self._remaining_cards\n\n # Returns 1 if self is higher, 0 if equal, -1 if self is lower\n def compare_high_cards(self, other):\n s_c... | false |
9,413 | b4454d92ab8380e0eded2f7aed737378e1710c72 | #!/usr/bin/env python3
import sys, os
import random
import numpy as np
import matplotlib as mpl
if os.environ.get('DISPLAY','') == '':
print('no display found. Using non-interactive Agg backend')
mpl.use('Agg')
import matplotlib.pyplot as plt
from mpl_toolkits.axes_grid1 import make_axes_locatable
import sha... | [
"#!/usr/bin/env python3\n\nimport sys, os\nimport random\nimport numpy as np\n\nimport matplotlib as mpl\nif os.environ.get('DISPLAY','') == '':\n print('no display found. Using non-interactive Agg backend')\n mpl.use('Agg')\nimport matplotlib.pyplot as plt\n\nfrom mpl_toolkits.axes_grid1 import make_axes_loc... | false |
9,414 | 39f1fc04911f8d22d07532add24cd1671a569e72 | from airflow.plugins_manager import AirflowPlugin
from flask import Blueprint, Flask
from rest_api.log.views import views
from rest_api.route.log_route import log
from rest_api.route.mylog_route import my_log_pb
from rest_api.route.native_log_route import native_log_bp
class AirflowPlugin(AirflowPlugin):
name = "... | [
"from airflow.plugins_manager import AirflowPlugin\nfrom flask import Blueprint, Flask\nfrom rest_api.log.views import views\nfrom rest_api.route.log_route import log\nfrom rest_api.route.mylog_route import my_log_pb\nfrom rest_api.route.native_log_route import native_log_bp\n\n\nclass AirflowPlugin(AirflowPlugin):... | false |
9,415 | 0a459b4aeb2a16c06c1d89dafb656028b235a31e | import math
def calcula_distancia_do_projetil(v, O, y0):
g = 9.8
return ((v ** 2) / 2 * g) * (1 + math.sqrt(1 + ( 2 * g * y0 / (v ** 2) * (math.sin(O) ** 2)))) * math.sin(2 * O) | [
"import math\n\ndef calcula_distancia_do_projetil(v, O, y0):\n g = 9.8\n return ((v ** 2) / 2 * g) * (1 + math.sqrt(1 + ( 2 * g * y0 / (v ** 2) * (math.sin(O) ** 2)))) * math.sin(2 * O)",
"import math\n\n\ndef calcula_distancia_do_projetil(v, O, y0):\n g = 9.8\n return v ** 2 / 2 * g * (1 + math.sqrt(... | false |
9,416 | 2a799d81d963f73d8018a99cbd963af166681b35 | def factorial(num):
assert num >= 0 and int(num) == num, 'Only positive integer accept'
if num in [0,1]:
return 1
else:
return num*factorial(num-1)
print(factorial(4.4)) | [
"def factorial(num):\n assert num >= 0 and int(num) == num, 'Only positive integer accept'\n if num in [0,1]:\n return 1\n else:\n return num*factorial(num-1)\n\nprint(factorial(4.4))",
"def factorial(num):\n assert num >= 0 and int(num) == num, 'Only positive integer accept'\n if num... | false |
9,417 | 657ac500c40ddbd29f5e3736a78ed43e7d105478 | num=int(input("Enter the number: "))
table=[num*i for i in range(1,11)]
print(table)
with open("table.txt","a") as f:
f.write(f"{num} table is: {str(table)}")
f.write('\n') | [
"num=int(input(\"Enter the number: \"))\n\ntable=[num*i for i in range(1,11)]\nprint(table)\nwith open(\"table.txt\",\"a\") as f:\n f.write(f\"{num} table is: {str(table)}\")\n f.write('\\n')",
"num = int(input('Enter the number: '))\ntable = [(num * i) for i in range(1, 11)]\nprint(table)\nwith open('table... | false |
9,418 | 25595b5f86a41fee1dc43f199f3bcff73f6d256b | import ray
import os
import sys
import random
path_join = os.path.join
real_path = os.path.realpath
perfd_dir = real_path(path_join(os.getcwd()))
microps_dir = path_join(perfd_dir, "thirdparty", "microps")
sys.path += [perfd_dir, microps_dir]
from thirdparty.microps.oracle.experiments.spark_sql_perf.main import Spar... | [
"import ray\nimport os\nimport sys\nimport random\n\npath_join = os.path.join\nreal_path = os.path.realpath\n\nperfd_dir = real_path(path_join(os.getcwd()))\nmicrops_dir = path_join(perfd_dir, \"thirdparty\", \"microps\")\nsys.path += [perfd_dir, microps_dir]\n\nfrom thirdparty.microps.oracle.experiments.spark_sql_... | false |
9,419 | 0a5baacf17d33dbf6ea69114a8632f7fcef52c3c | import tkinter
from tkinter import messagebox
from random import randint
tplyer = 0
tcomp = 0
player = 0
comp = 0
top = tkinter.Tk()
top.resizable(width = False, height =False)
top.geometry("200x100")
def Yes():
global player
global comp
tplayer = randint(1,6)
tcomp = randint(1,6)
message =""
if tplay... | [
"import tkinter\nfrom tkinter import messagebox\nfrom random import randint\ntplyer = 0\ntcomp = 0\nplayer = 0\ncomp = 0\ntop = tkinter.Tk()\ntop.resizable(width = False, height =False)\ntop.geometry(\"200x100\")\ndef Yes():\n global player\n global comp\n tplayer = randint(1,6)\n tcomp = randint(1,6)\n m... | false |
9,420 | b569f0a0dda048d6337e1028a240caabf188a174 | ___author__ = 'acmASCIS'
'''
by ahani at {9/24/2016}
'''
import time
class Freq(object):
def __init__(self, array):
self.__array = array
self.__frequency_dict = {}
self.__array_length = len(array)
self.__running_time = round(time.time() * 1000)
def get_original_array(sel... | [
"___author__ = 'acmASCIS'\n\n'''\n by ahani at {9/24/2016}\n'''\n\nimport time\n\n\nclass Freq(object):\n def __init__(self, array):\n self.__array = array\n self.__frequency_dict = {}\n self.__array_length = len(array)\n self.__running_time = round(time.time() * 1000)\n\n def g... | false |
9,421 | c0b6c0636d1900a31cc455795838eb958d1daf65 | # Find a list of patterns in a list of string in python
any([ p in s for p in patterns for s in strings ])
| [
"# Find a list of patterns in a list of string in python\nany([ p in s for p in patterns for s in strings ])\n",
"any([(p in s) for p in patterns for s in strings])\n",
"<code token>\n"
] | false |
9,422 | 00609c4972269c36bbfcf5bec2a8648f812b6092 | # -*- coding: utf-8 -*-
"""
Created on Fri Oct 5 09:10:03 2018
@author: User
"""
from urllib.request import urlopen
from urllib.error import HTTPError
from bs4 import BeautifulSoup
import re
url = "http://www.pythonscraping.com/pages/page3.html"
html = urlopen(url)
html_data = BeautifulSoup(html.read(), "lxml")
img... | [
"# -*- coding: utf-8 -*-\n\"\"\"\nCreated on Fri Oct 5 09:10:03 2018\n\n@author: User\n\"\"\"\n\nfrom urllib.request import urlopen\nfrom urllib.error import HTTPError\nfrom bs4 import BeautifulSoup\nimport re\n\nurl = \"http://www.pythonscraping.com/pages/page3.html\"\nhtml = urlopen(url)\nhtml_data = BeautifulSo... | false |
9,423 | 02a228c479a6c94858f7e8ef73a7c8528def871e | class Solution(object):
def plusOne(self, digits):
"""
:type digits: List[int]
:rtype: List[int]
"""
plus = True # In the last digit, we should add one as the quesiton requries
indexList = range(len(digits))
indexList.reverse()
for i in indexList:
... | [
"class Solution(object):\n def plusOne(self, digits):\n \"\"\"\n :type digits: List[int]\n :rtype: List[int]\n \"\"\"\n plus = True # In the last digit, we should add one as the quesiton requries\n indexList = range(len(digits))\n indexList.reverse()\n for ... | false |
9,424 | 9cea998d7d5cad3ddc00f667ca06151a938d48a1 | # -*- coding: utf-8 -*-
# @Author : William
# @Project : TextGAN-william
# @FileName : gan_loss.py
# @Time : Created at 2019-07-11
# @Blog : http://zhiweil.ml/
# @Description :
# Copyrights (C) 2018. All Rights Reserved.
import torch
import torch.nn as nn
import config as cfg
class ... | [
"# -*- coding: utf-8 -*-\n# @Author : William\n# @Project : TextGAN-william\n# @FileName : gan_loss.py\n# @Time : Created at 2019-07-11\n# @Blog : http://zhiweil.ml/\n# @Description : \n# Copyrights (C) 2018. All Rights Reserved.\n\nimport torch\nimport torch.nn as nn\n\nimport confi... | false |
9,425 | e99ff1c75d5108efc8d587d4533c34eeb15c6978 | from django.contrib.staticfiles.storage import CachedFilesMixin
from storages.backends.s3boto3 import S3Boto3Storage
class CachedS3Storage(CachedFilesMixin, S3Boto3Storage):
pass
StaticRootS3BotoStorage = lambda: CachedS3Storage(location='static')
MediaRootS3BotoStorage = lambda: S3Boto3Storage(location='media'... | [
"from django.contrib.staticfiles.storage import CachedFilesMixin\nfrom storages.backends.s3boto3 import S3Boto3Storage\n\n\nclass CachedS3Storage(CachedFilesMixin, S3Boto3Storage):\n pass\n\n\nStaticRootS3BotoStorage = lambda: CachedS3Storage(location='static')\nMediaRootS3BotoStorage = lambda: S3Boto3Storage(lo... | false |
9,426 | 97a362fc65731bb8fc3743c49a669b4cd3f0e155 | import collections
import numpy
import pytest
import random
import conftest
from svviz2.io import readstatistics
from svviz2.remap import genotyping
from svviz2.utility.intervals import Locus
def get_read_stats(isize=400):
stats = readstatistics.ReadStatistics(None)
stats.insertSizes = numpy.random.normal(400... | [
"import collections\nimport numpy\nimport pytest\nimport random\n\nimport conftest\nfrom svviz2.io import readstatistics\nfrom svviz2.remap import genotyping\nfrom svviz2.utility.intervals import Locus\n\ndef get_read_stats(isize=400):\n stats = readstatistics.ReadStatistics(None)\n stats.insertSizes = numpy.... | false |
9,427 | 7bb49712c4ef482c64f3c2a457a766de691ba7c3 | def bfs(graph, start):
queue = [start]
queued = list()
path = list()
while queue:
print('Queue is: %s' % queue)
vertex = queue.pop(0)
print('Processing %s' % vertex)
for candidate in graph[vertex]:
if candidate not in queued:
queued.append(candidate)
queue.append(candidat... | [
"def bfs(graph, start):\n queue = [start]\n queued = list()\n path = list()\n\n while queue:\n print('Queue is: %s' % queue)\n vertex = queue.pop(0)\n print('Processing %s' % vertex)\n\n for candidate in graph[vertex]:\n if candidate not in queued:\n queued.append(candidate)\n que... | false |
9,428 | 267276eab470b5216a2102f3e7616f7aecadcfe9 | # -------------------------------------------
# Created by: jasper
# Date: 11/24/19
# --------------------------------------------
from os import path, mkdir
class IOHandler:
def __init__(self, directory, fName, data_instance):
"""Save the setup of a class instance or... | [
"# -------------------------------------------\n\n# Created by: jasper\n# Date: 11/24/19\n\n# --------------------------------------------\n\nfrom os import path, mkdir\n\n\nclass IOHandler:\n\n def __init__(self, directory, fName, data_instance):\n \"\"\"Save the setup o... | false |
9,429 | 7025cc896035c59e0bbb7943493b6ca24fd9e6ca | from flask import Flask, render_template, request
app = Flask(__name__)
def convert(decimal_num):
roman = {1000:'M', 900:'CM', 500:'D', 400:'CD', 100:'C', 90:'XC', 50:'L', 40:'XL', 10:'X', 9:'IX', 5:'V', 4:'IV', 1:'I'}
num_to_roman = ''
for i in roman.keys():
num_to_roman += roman[i]*(decimal_num/... | [
"from flask import Flask, render_template, request\n\napp = Flask(__name__)\n\ndef convert(decimal_num):\n roman = {1000:'M', 900:'CM', 500:'D', 400:'CD', 100:'C', 90:'XC', 50:'L', 40:'XL', 10:'X', 9:'IX', 5:'V', 4:'IV', 1:'I'}\n num_to_roman = ''\n for i in roman.keys():\n num_to_roman += roman[i]*... | false |
9,430 | 7e318ae7317eac90d6ce9a6b1d0dcc8ff65abef0 | from dataclasses import dataclass, field
from typing import List
@dataclass
class Root:
a: List[object] = field(
default_factory=list,
metadata={
"type": "Element",
"namespace": "",
"min_occurs": 2,
"max_occurs": 4,
"sequence": 1,
... | [
"from dataclasses import dataclass, field\nfrom typing import List\n\n\n@dataclass\nclass Root:\n a: List[object] = field(\n default_factory=list,\n metadata={\n \"type\": \"Element\",\n \"namespace\": \"\",\n \"min_occurs\": 2,\n \"max_occurs\": 4,\n ... | false |
9,431 | eb81f1825c4ac8e20dde1daefbdad22f588e696e | #1.문자열에 홑따옴표 포함기키기 : 쌍따옴표
print("Python's Data Type")
#2.문자열에 쌍따옴표 포함시키기 : 홑따옴표
print('"Python is very easy" he said.')
#멀티라인(여러줄)표현하기
#1. 연속된 쌍따옴표 3개 사용하기
print("""No pain
No gain""")
#2. 연속된 쌍따옴표 3개 사용하기
print('''No pain
No gain''')
#3.이스케이프 코드 \n 삽입하기
print("No pain \n No gain")
"""
이스케이프(es... | [
"#1.문자열에 홑따옴표 포함기키기 : 쌍따옴표\nprint(\"Python's Data Type\")\n\n#2.문자열에 쌍따옴표 포함시키기 : 홑따옴표\nprint('\"Python is very easy\" he said.')\n\n#멀티라인(여러줄)표현하기\n#1. 연속된 쌍따옴표 3개 사용하기\nprint(\"\"\"No pain\n No gain\"\"\")\n\n#2. 연속된 쌍따옴표 3개 사용하기\nprint('''No pain\n No gain''')\n\n#3.이스케이프 코드 \\n 삽입하기\nprint(\"N... | false |
9,432 | f5274f5d838d484ca0c1cc5a5192a2fd698cf827 | from .. import CURRENT_NAME
from ..cmd import call_cmd
from .config import Configurator
from .config import USER_INI
from icemac.install.addressbook._compat import Path
import argparse
import os
import pdb # noqa: T002
import sys
def update(stdin=None):
"""Update the current address book installation."""
cur... | [
"from .. import CURRENT_NAME\nfrom ..cmd import call_cmd\nfrom .config import Configurator\nfrom .config import USER_INI\nfrom icemac.install.addressbook._compat import Path\nimport argparse\nimport os\nimport pdb # noqa: T002\nimport sys\n\n\ndef update(stdin=None):\n \"\"\"Update the current address book inst... | false |
9,433 | 1e168cf6ba785a08244f47eb490b54605a09e4b0 |
traditional_investor_stage1 = \
"SELECT investor, investor_id, invest_amount, invest_change, security_id, isin, issue_date, maturity_date "\
"FROM "\
"(SELECT "\
"report_date, "\
"investor_holdings.investor_name AS investor,"\
"investor_id,"\
... | [
"\n\ntraditional_investor_stage1 = \\\n \"SELECT investor, investor_id, invest_amount, invest_change, security_id, isin, issue_date, maturity_date \"\\\n \"FROM \"\\\n \"(SELECT \"\\\n \"report_date, \"\\\n \"investor_holdings.investor_name AS investor,\"\\\n ... | false |
9,434 | 8bb67317ede277e03e8cbdefefeffa3d206ece65 | from os import listdir
import re
import numpy as np
from sklearn.metrics import f1_score
from sklearn.naive_bayes import MultinomialNB
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.model_selection import LeaveOneOut
import matplotlib.pyplot as plt
n_gram_range = (1, 1)
alpha_smoothing = 1e-1... | [
"from os import listdir\nimport re\nimport numpy as np\nfrom sklearn.metrics import f1_score\nfrom sklearn.naive_bayes import MultinomialNB\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.model_selection import LeaveOneOut\nimport matplotlib.pyplot as plt\n\nn_gram_range = (1, 1)\nalpha_s... | false |
9,435 | 63068a15d750abb29398d687495d6001ba17ab8a | """""""""""""""
Write Data
"""""""""""""""
import json
from city import City
def load_json(file_name='data.json'):
with open(file_name, 'r') as json_fp:
json_data = json_fp.read()
data_arr = json.loads(json_data)
return data_arr
if __name__ == '__main__':
json_file = 'data.json'
... | [
"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\nWrite Data\n\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\n\nimport json\nfrom city import City\n\ndef load_json(file_name='data.json'):\n with open(file_name, 'r') as json_fp:\n json_data = json_fp.read()\n data_arr = json.loads(json_data)\n return data_arr\n\nif __name__... | false |
9,436 | 0d022291f9ace02ef1ee5c462657ea6376a0e6a4 | import RPi.GPIO as GPIO
import time
from datetime import datetime
led1 = [('g', 40), ('f', 38), ('a', 36), ('b', 32),
('e', 26), ('d', 24), ('c', 22)]
led2 = [('g', 19), ('f', 15), ('a', 13),
('b', 11), ('e', 7), ('d', 5), ('c', 3)]
numbers = [
('a', 'b', 'c', 'd', 'e', 'f'),
('b', 'c'),
('... | [
"import RPi.GPIO as GPIO\nimport time\nfrom datetime import datetime\n\nled1 = [('g', 40), ('f', 38), ('a', 36), ('b', 32),\n ('e', 26), ('d', 24), ('c', 22)]\nled2 = [('g', 19), ('f', 15), ('a', 13),\n ('b', 11), ('e', 7), ('d', 5), ('c', 3)]\nnumbers = [\n ('a', 'b', 'c', 'd', 'e', 'f'),\n ('b... | false |
9,437 | d190eb27ea146cf99ac7f8d29fb5f769121af60e | M, N = 3, 16
prime = set(range(M, N+1))
for i in range(2, N+1):
prime -= set(range(i**2, N+1, i))
for number in prime:
print(number) | [
"M, N = 3, 16\nprime = set(range(M, N+1))\nfor i in range(2, N+1):\n prime -= set(range(i**2, N+1, i))\n\nfor number in prime:\n print(number)",
"M, N = 3, 16\nprime = set(range(M, N + 1))\nfor i in range(2, N + 1):\n prime -= set(range(i ** 2, N + 1, i))\nfor number in prime:\n print(number)\n",
"<... | false |
9,438 | 56afde2a31ad9dddee35e84609dff2eb0fc6fe1a | # Mezzanine Django Framework createdb error on Max OSX 10.9.2
import django
django.version
| [
"# Mezzanine Django Framework createdb error on Max OSX 10.9.2\nimport django\ndjango.version\n",
"import django\ndjango.version\n",
"<import token>\ndjango.version\n",
"<import token>\n<code token>\n"
] | false |
9,439 | 8beafcd4f9c02657a828d8c37f2aecda325ba180 | import pickle
from numpy import *
import math
import matplotlib.pyplot as plt
import numpy as np
from matplotlib import animation
from math import factorial
def savitzky_golay(y, window_size, order, deriv=0, rate=1):
order_range = range(order+1)
half_window = (window_size -1) // 2
b = np.mat([[k**i for i i... | [
"import pickle\nfrom numpy import *\nimport math\nimport matplotlib.pyplot as plt\nimport numpy as np\nfrom matplotlib import animation\nfrom math import factorial\n\ndef savitzky_golay(y, window_size, order, deriv=0, rate=1):\n order_range = range(order+1)\n half_window = (window_size -1) // 2\n b = np.ma... | false |
9,440 | f91e997b305348485698d180b97138b040285b60 | class Line:
def __init__(self,coor1,coor2):
self.coor1 = coor1
self.coor2 = coor2
def slope(self):
pass
def distance(self):
#x = self.coor1[0]-self.coor2[0]
#y = self.coor2[1]-self.coor2[1]
#return ((x**2)+(y**2))**0.5
return ((((self.coor2[0]-s... | [
"class Line:\n def __init__(self,coor1,coor2):\n self.coor1 = coor1\n self.coor2 = coor2 \n \n def slope(self):\n pass\n\n def distance(self):\n #x = self.coor1[0]-self.coor2[0]\n #y = self.coor2[1]-self.coor2[1]\n #return ((x**2)+(y**2))**0.5\n return ((... | false |
9,441 | 8f854f4f2c807f988945af4dc53dba93cfb31168 | ## Author: Aleem Juma
import os
from app import app
import pandas as pd
# read in the quotes database
q = pd.read_csv(os.path.join('app','data','quotes_all.csv'), sep=';', skiprows=1, header=0)
# there are a few quote genres that don't occur in the model vocab
# replace them with appropriate words so the similarity ... | [
"## Author: Aleem Juma\n\nimport os\nfrom app import app\nimport pandas as pd\n\n# read in the quotes database\nq = pd.read_csv(os.path.join('app','data','quotes_all.csv'), sep=';', skiprows=1, header=0)\n\n# there are a few quote genres that don't occur in the model vocab\n# replace them with appropriate words so ... | false |
9,442 | 82c3bde5746d04c126a93851844f775e7ce65f4b | import torch
import numpy as np
# source: https://github.com/krasserm/bayesian-machine-learning/blob/master/gaussian_processes.ipynb
def kernel(X1, X2, l=1.0, sigma_f=1.0):
''' Isotropic squared exponential kernel. Computes a covariance matrix from points in X1 and X2. Args: X1: Array of m points (m x d). X2: Arr... | [
"import torch\nimport numpy as np\n\n\n# source: https://github.com/krasserm/bayesian-machine-learning/blob/master/gaussian_processes.ipynb\ndef kernel(X1, X2, l=1.0, sigma_f=1.0):\n ''' Isotropic squared exponential kernel. Computes a covariance matrix from points in X1 and X2. Args: X1: Array of m points (m x ... | false |
9,443 | b9a262bd6ddbca3b214825a473d870e70e8b5e57 | #!/usr/bin/env python
import fileinput
import sys
import os
from argparse import ArgumentParser
from probin.model.composition import multinomial as mn
from probin.dna import DNA
from Bio import SeqIO
from corrbin.misc import all_but_index, Uniq_id, GenomeGroup
from corrbin.multinomial import Experiment
from corrbin.co... | [
"#!/usr/bin/env python\nimport fileinput\nimport sys\nimport os\nfrom argparse import ArgumentParser\nfrom probin.model.composition import multinomial as mn \nfrom probin.dna import DNA\nfrom Bio import SeqIO\nfrom corrbin.misc import all_but_index, Uniq_id, GenomeGroup\nfrom corrbin.multinomial import Experiment\n... | false |
9,444 | 814191a577db279389975e5a02e72cd817254275 | """
Version information for NetworkX, created during installation.
Do not add this file to the repository.
"""
import datetime
version = '2.3'
date = 'Thu Apr 11 20:57:18 2019'
# Was NetworkX built from a development version? If so, remember that the major
# and minor versions reference the "target" (rather than "... | [
"\"\"\"\nVersion information for NetworkX, created during installation.\n\nDo not add this file to the repository.\n\n\"\"\"\n\nimport datetime\n\nversion = '2.3'\ndate = 'Thu Apr 11 20:57:18 2019'\n\n# Was NetworkX built from a development version? If so, remember that the major\n# and minor versions reference the... | false |
9,445 | 920f00632599945397364dd0f52f21234e17f9ef | from context import vicemergencyapi
from vicemergencyapi.vicemergency import VicEmergency
from geographiclib.geodesic import Geodesic
from shapely.geometry import Point
def geoDistance(p1, p2):
return Geodesic.WGS84.Inverse(p1.y, p1.x, p2.y, p2.x)['s12']
melbourne = Point(144.962272, -37.812274)
def compare(f... | [
"from context import vicemergencyapi\nfrom vicemergencyapi.vicemergency import VicEmergency\n\nfrom geographiclib.geodesic import Geodesic\nfrom shapely.geometry import Point\n\n\ndef geoDistance(p1, p2):\n return Geodesic.WGS84.Inverse(p1.y, p1.x, p2.y, p2.x)['s12']\n\n\nmelbourne = Point(144.962272, -37.812274... | false |
9,446 | fbd8af4ab3e4ebdcb07509db776d38f9c26fd06a | #
# MIT License
#
# Copyright (c) 2018 Matteo Poggi m.poggi@unibo.it
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
# in the Software without restriction, including without limitation the rights
# to use, c... | [
"#\n# MIT License\n#\n# Copyright (c) 2018 Matteo Poggi m.poggi@unibo.it\n#\n# Permission is hereby granted, free of charge, to any person obtaining a copy\n# of this software and associated documentation files (the \"Software\"), to deal\n# in the Software without restriction, including without limitation the righ... | false |
9,447 | 293533d07b530be9e8f97f1720619bf6c3113cca | import os
import sys
import string
from array import *
from datetime import datetime
#f = open('input_test.txt', 'r')
f = open('input_task.txt', 'r')
width = 60
height = 5000
sleepingMinutes = [[0 for x in range(width)] for y in range(height)]
infos = []
# Change lines to tuples and store to array for sorting
for l... | [
"import os\nimport sys\nimport string\nfrom array import *\nfrom datetime import datetime\n\n#f = open('input_test.txt', 'r')\nf = open('input_task.txt', 'r')\n\nwidth = 60\nheight = 5000\nsleepingMinutes = [[0 for x in range(width)] for y in range(height)]\n\ninfos = []\n\n# Change lines to tuples and store to arr... | false |
9,448 | 1304b6373edeca394070b8a3d144608cf07172e3 | from datetime import datetime
from unittest import mock
import pytest
from freezegun import freeze_time
from datahub.ingestion.api.common import PipelineContext
from src.datahub.ingestion.source.aws.s3_util import make_s3_urn
FROZEN_TIME = "2020-04-14 07:00:00"
@pytest.mark.integration
def test_athena_config_query... | [
"from datetime import datetime\nfrom unittest import mock\n\nimport pytest\nfrom freezegun import freeze_time\n\nfrom datahub.ingestion.api.common import PipelineContext\nfrom src.datahub.ingestion.source.aws.s3_util import make_s3_urn\n\nFROZEN_TIME = \"2020-04-14 07:00:00\"\n\n\n@pytest.mark.integration\ndef test... | false |
9,449 | 39eecf1c7ec19f7c75721caa092c08569f53d3e5 | #Classe do controlador do servidor SEEEEEEERVIDOOOOOOOOOOR
from usuarioModel import *
class ControllerSC:
'''
O controlador define 2 ações:
- adicionar_pessoa: para adicionar novas pessoas no banco de
dados.
- listar_pessoas: retornar a lista das pessoas
Note que as 2 ações supracita... | [
"#Classe do controlador do servidor SEEEEEEERVIDOOOOOOOOOOR\n\nfrom usuarioModel import *\n\n\nclass ControllerSC:\n '''\n O controlador define 2 ações:\n - adicionar_pessoa: para adicionar novas pessoas no banco de\n dados. \n - listar_pessoas: retornar a lista das pessoas\n\n Note que as ... | false |
9,450 | b748c489b2c63546feada811aa3b66146ad8d28e | #!/usr/bin/python3
import json
def from_json_string(my_str):
"""Function returns a JSON file representation of an object (string)"""
return json.loads(my_str)
| [
"#!/usr/bin/python3\nimport json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"\"\"\n\n return json.loads(my_str)\n",
"import json\n\n\ndef from_json_string(my_str):\n \"\"\"Function returns a JSON file representation of an object (string)\"... | false |
9,451 | 369bffa21b5b8c0ca1d93da3aa30a38e2f4c82cc | import scrapy
from kingfisher_scrapy.base_spiders import BigFileSpider
from kingfisher_scrapy.util import components, handle_http_error
class France(BigFileSpider):
"""
Domain
France
Swagger API documentation
https://doc.data.gouv.fr/api/reference/
"""
name = 'france'
# SimpleSpi... | [
"import scrapy\n\nfrom kingfisher_scrapy.base_spiders import BigFileSpider\nfrom kingfisher_scrapy.util import components, handle_http_error\n\n\nclass France(BigFileSpider):\n \"\"\"\n Domain\n France\n Swagger API documentation\n https://doc.data.gouv.fr/api/reference/\n \"\"\"\n name = '... | false |
9,452 | 956e63bf06255df4a36b5fa97aa62c0ed805c3f3 | #!/bin/python
from flask import Flask, jsonify, request
import subprocess
import os
app = Flask(__name__)
text = ""
greetings = "'/play' and '/replay'\n"
@app.route('/')
def index():
return greetings
@app.route('/play', methods=['POST'])
def play():
global text
text = request.data.decode('utf-8')
o... | [
"#!/bin/python\nfrom flask import Flask, jsonify, request\nimport subprocess\nimport os\n\napp = Flask(__name__)\n\ntext = \"\"\ngreetings = \"'/play' and '/replay'\\n\"\n\n@app.route('/')\ndef index():\n return greetings\n\n@app.route('/play', methods=['POST'])\ndef play():\n global text\n text = request.... | false |
9,453 | dd06847c3eb9af6e84f247f8f0dd03961d83688e | from battleship.board import Board
from battleship.game import Game
import string
# Board
row_num = list(string.ascii_lowercase[:10]) # A-J
col_num = 10
board = Board(row_num, col_num)
board.display_board()
# Game
guesses = 25
quit = 'q'
game = Game(guesses, quit)
game.take_shot("\nChoose a spot to fire at in enemy... | [
"from battleship.board import Board\nfrom battleship.game import Game\n\nimport string\n\n# Board\nrow_num = list(string.ascii_lowercase[:10]) # A-J\ncol_num = 10\nboard = Board(row_num, col_num) \nboard.display_board()\n\n# Game\nguesses = 25\nquit = 'q'\ngame = Game(guesses, quit)\ngame.take_shot(\"\\nChoose a sp... | false |
9,454 | 356c817e254d8885beb447aa10759fff6a45ca25 | from microbit import *
import music
while True:
if button_a.is_pressed():
music.pitch(400,500)
| [
"from microbit import *\n\nimport music\n\nwhile True:\n if button_a.is_pressed():\n music.pitch(400,500)\n",
"from microbit import *\nimport music\nwhile True:\n if button_a.is_pressed():\n music.pitch(400, 500)\n",
"<import token>\nwhile True:\n if button_a.is_pressed():\n music.... | false |
9,455 | 4569413c8ea985a010a1fea4835a5b368a23663a | #import bmm_mysql_connect # Import my connection module
import csv
import MySQLdb
import os
#bmm_mysql_connect.connect() # Connecting to mysql test database
#mycur = conn.cursor() # Creating my cursor
path = os.path.expanduser('~/Projects/bmm_private/login_test.txt')
login = csv.reade... | [
"#import bmm_mysql_connect # Import my connection module\nimport csv \nimport MySQLdb \nimport os\n\n#bmm_mysql_connect.connect() # Connecting to mysql test database\n#mycur = conn.cursor() # Creating my cursor\n\npath = os.path.expanduser('~/Projects/bmm_private/login_test.txt')\nlogin... | true |
9,456 | fdef3e94bbeb29c25bf14e17cd1d013cf848bedc | # from magicbot import AutonomousStateMachine, timed_state, state
# from components.drivetrain import Drivetrain, DrivetrainState
# from components.intake import Intake
# from fieldMeasurements import FieldMeasurements
# class PushBotAuto(AutonomousStateMachine):
# # this auto is intended to push other robots of... | [
"# from magicbot import AutonomousStateMachine, timed_state, state\n\n# from components.drivetrain import Drivetrain, DrivetrainState\n# from components.intake import Intake\n\n# from fieldMeasurements import FieldMeasurements\n\n# class PushBotAuto(AutonomousStateMachine):\n# # this auto is intended to push ot... | false |
9,457 | 8050b757c20da7ad8dd3c12a30b523b752d6a3ff | friends = ["Vino", "Ammu", "Appu"]
print(friends)
print(friends[0])
# returns the last element in the list
print(friends[-1])
# returns the second to last element in the list
print(friends[-2]) | [
"friends = [\"Vino\", \"Ammu\", \"Appu\"]\n\nprint(friends)\nprint(friends[0])\n\n# returns the last element in the list\nprint(friends[-1])\n# returns the second to last element in the list\nprint(friends[-2])",
"friends = ['Vino', 'Ammu', 'Appu']\nprint(friends)\nprint(friends[0])\nprint(friends[-1])\nprint(fri... | false |
9,458 | 937fd6aa7bd21258bd6e0f592d94a966519ef885 | '''
# AWS::Chatbot Construct Library
AWS Chatbot is an AWS service that enables DevOps and software development teams to use Slack chat rooms to monitor and respond to operational events in their AWS Cloud. AWS Chatbot processes AWS service notifications from Amazon Simple Notification Service (Amazon SNS), and forwar... | [
"'''\n# AWS::Chatbot Construct Library\n\nAWS Chatbot is an AWS service that enables DevOps and software development teams to use Slack chat rooms to monitor and respond to operational events in their AWS Cloud. AWS Chatbot processes AWS service notifications from Amazon Simple Notification Service (Amazon SNS), an... | false |
9,459 | 262d6722f4c158d0a41b22433792cdc35651d156 | # coding=utf-8
"""
Given a binary tree, find its maximum depth.
The maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.
Example
Given a binary tree as follow:
1
/ \
2 3
/ \
4 5
The maximum depth is 3.
"""
"""
Definition of TreeNode:
"""
class ... | [
"# coding=utf-8\n\n\"\"\"\nGiven a binary tree, find its maximum depth.\nThe maximum depth is the number of nodes along the longest path from the root node down to the farthest leaf node.\n\nExample\nGiven a binary tree as follow:\n\n 1\n / \\ \n2 3\n / \\\n 4 5\nThe maximum depth is 3.\n\n\"\"\"\n\n\"\"\"\... | false |
9,460 | 26289d88ac51ee359faa81ca70b01879d2b1f840 | pairs = ['usdt', 'btc']
warn_msg = '** WARN ** '
info_msg = '** INFO **'
| [
"pairs = ['usdt', 'btc']\nwarn_msg = '** WARN ** '\ninfo_msg = '** INFO **'\n\n\n\n",
"pairs = ['usdt', 'btc']\nwarn_msg = '** WARN ** '\ninfo_msg = '** INFO **'\n",
"<assignment token>\n"
] | false |
9,461 | 2cd7d4fe87de66e85bc0d060e2eaa68be39eed02 | from tasks import video_compress, video_upload
if __name__ == '__main__':
video_compress.apply_async(["a"],queue='high')
video_compress.apply_async(["b"],queue='low')
video_upload.apply_async(["c"], queue='low')
video_upload.apply_async(["d"], queue='high')
| [
"from tasks import video_compress, video_upload\nif __name__ == '__main__':\n video_compress.apply_async([\"a\"],queue='high')\n video_compress.apply_async([\"b\"],queue='low')\n video_upload.apply_async([\"c\"], queue='low')\n video_upload.apply_async([\"d\"], queue='high')\n",
"from tasks import vid... | false |
9,462 | bec3d8546cd7d27f7da48f5658480cf17c36a255 | import os
import re
import sys
import traceback
import readline
from typing import NamedTuple, List
from PyInquirer import prompt
from pygments import highlight
from pygments.formatters.terminal import TerminalFormatter
from pygments.lexers.python import PythonLexer
import argparse
parser = argparse.ArgumentParser(d... | [
"import os\nimport re\nimport sys\nimport traceback\nimport readline\nfrom typing import NamedTuple, List\n\nfrom PyInquirer import prompt\nfrom pygments import highlight\nfrom pygments.formatters.terminal import TerminalFormatter\nfrom pygments.lexers.python import PythonLexer\n\nimport argparse\n\nparser = argpar... | false |
9,463 | 4c483636316dfa660f10b1aba900813bc3e95ebe | from django.http import HttpResponseRedirect
from django.shortcuts import render
__author__ = 'jhonjairoroa87'
from rest_framework.views import APIView
from rest_framework.response import Response
from rest_framework_jsonp.renderers import JSONPRenderer
from django.db import models
from .form import NameForm
def mu... | [
"from django.http import HttpResponseRedirect\nfrom django.shortcuts import render\n\n__author__ = 'jhonjairoroa87'\n\nfrom rest_framework.views import APIView\nfrom rest_framework.response import Response\nfrom rest_framework_jsonp.renderers import JSONPRenderer\nfrom django.db import models\nfrom .form import Nam... | false |
9,464 | e5abab3f718bbbd25dcfc49290383203d53248c3 |
import logging
from exceptions.invalid_api_usage import InvalidAPIUsage
from wgadget.endpoints.ep import EP
class EPInfoLight(EP):
NAME = 'info_light'
URL = '/info'
URL_ROUTE_PAR_PAYLOAD = '/'
URL_ROUTE_PAR_URL = '/actuatorId/<actuatorId>'
METHOD = 'GET'
ATTR_ACTUATOR_ID = 'actuatorId'
... | [
"\nimport logging\nfrom exceptions.invalid_api_usage import InvalidAPIUsage\nfrom wgadget.endpoints.ep import EP\n\nclass EPInfoLight(EP):\n\n NAME = 'info_light'\n URL = '/info'\n\n URL_ROUTE_PAR_PAYLOAD = '/'\n URL_ROUTE_PAR_URL = '/actuatorId/<actuatorId>'\n\n METHOD = 'GET'\n\n ATTR_ACTUATOR_I... | false |
9,465 | c2b3594d25e2d1670d9b99e0d3484c680f59421f |
import random
import tqdm
from keras.models import load_model
from ModelUtil import precision, recall, f1
from tqdm import tqdm
import cv2 as cv
import numpy as np
import os
import pandas as pd
from PIL import Image
os.environ['CUDA_VISIBLE_DEVICES']='1'
model_path = '/home/bo/Project/densenet.hdf5'
train_img_path... | [
"\nimport random\nimport tqdm\nfrom keras.models import load_model\nfrom ModelUtil import precision, recall, f1\nfrom tqdm import tqdm\nimport cv2 as cv\nimport numpy as np\nimport os\nimport pandas as pd\nfrom PIL import Image\n\n\nos.environ['CUDA_VISIBLE_DEVICES']='1'\n\n\nmodel_path = '/home/bo/Project/densenet... | false |
9,466 | fedec397ac0346bad1790315b4f85fbb1a662a4e | import subprocess
from dissamblerAbstract import disassemblerAbstract
#lib/ZydisDisasm -64 /home/nislab2/Desktop/DissamblerEffect/metamorphic/00fe0c08024f7db771d6711787d890a3.exe
class ZydisDisassembler(disassemblerAbstract):
def diassemble(self,filename, bits='32bit'):
"""
Disassembly executa... | [
"import subprocess\nfrom dissamblerAbstract import disassemblerAbstract\n\n#lib/ZydisDisasm -64 /home/nislab2/Desktop/DissamblerEffect/metamorphic/00fe0c08024f7db771d6711787d890a3.exe\nclass ZydisDisassembler(disassemblerAbstract):\n\n def diassemble(self,filename, bits='32bit'):\n \"\"\"\n Dis... | false |
9,467 | caf83d35ce6e0bd4e92f3de3a32221705a529ec1 | #!/usr/bin/env python3
# ---------------------------------------------------
# SSHSploit Framework
# ---------------------------------------------------
# Copyright (C) <2020> <Entynetproject>
#
# This program is free soft... | [
"#!/usr/bin/env python3\n\n# ---------------------------------------------------\n# SSHSploit Framework \n# ---------------------------------------------------\n# Copyright (C) <2020> <Entynetproject> \n#\n# This program ... | false |
9,468 | fb53ea6a7184c0b06fb8a4cbfaf2145cc5c2e8e2 | import hlp
import pdb
class Nnt(list):
"""
Generic layer of neural network
"""
def __init__(self):
"""
Initialize the neural network base object.
"""
self.tag = None
def y(self, x):
"""
build sybolic expression of output {y} given input {x}
t... | [
"import hlp\nimport pdb\n\nclass Nnt(list):\n \"\"\"\n Generic layer of neural network\n \"\"\"\n def __init__(self):\n \"\"\"\n Initialize the neural network base object.\n \"\"\"\n self.tag = None\n\n def y(self, x):\n \"\"\"\n build sybolic expression of o... | false |
9,469 | 54276074d84e63e6418f8738bb7f910424f1c94d | import sys
import os
PROJ_DIR = os.path.dirname(os.path.dirname(__file__))
sys.path.append(PROJ_DIR) | [
"import sys\nimport os\n\nPROJ_DIR = os.path.dirname(os.path.dirname(__file__))\nsys.path.append(PROJ_DIR)",
"import sys\nimport os\nPROJ_DIR = os.path.dirname(os.path.dirname(__file__))\nsys.path.append(PROJ_DIR)\n",
"<import token>\nPROJ_DIR = os.path.dirname(os.path.dirname(__file__))\nsys.path.append(PROJ_D... | false |
9,470 | 8173afbd82b8da04db4625ac686c0d052e65a21c | from PyQt4 import QtGui
from PyQt4.QtCore import pyqtSignal, pyqtSlot, QObject, Qt
from twisted.internet.defer import inlineCallbacks
import numpy as np
from connection import connection
import pyqtgraph as pg
from pyqtgraph.SignalProxy import SignalProxy
import sys
import time
global harwareConfiguration
class grap... | [
"from PyQt4 import QtGui\nfrom PyQt4.QtCore import pyqtSignal, pyqtSlot, QObject, Qt\nfrom twisted.internet.defer import inlineCallbacks\nimport numpy as np\nfrom connection import connection\nimport pyqtgraph as pg\nfrom pyqtgraph.SignalProxy import SignalProxy\nimport sys\nimport time\n\nglobal harwareConfigurati... | false |
9,471 | 6b3f634f3f0108e678d44ef9c89150f9fd116f76 | file_id = '0BwwA4oUTeiV1UVNwOHItT0xfa2M'
request = drive_service.files().get_media(fileId=file_id)
fh = io.BytesIO()
downloader = MediaIoBaseDownload(fh, request)
done = False
while done is False:
status, done = downloader.next_chunk()
print "Download %d%%." % int(status.progress() * 100)
| [
"file_id = '0BwwA4oUTeiV1UVNwOHItT0xfa2M'\nrequest = drive_service.files().get_media(fileId=file_id)\nfh = io.BytesIO()\ndownloader = MediaIoBaseDownload(fh, request)\ndone = False\nwhile done is False:\n status, done = downloader.next_chunk()\n print \"Download %d%%.\" % int(status.progress() * 100)\n"
] | true |
9,472 | 210199ed217db0d7a05e280f20e33496c0795f06 | from base64 import b64decode
import time
from lampost.context.resource import m_requires
from lampost.datastore.dbo import KeyDBO
from lampost.datastore.dbofield import DBOField
from lampost.datastore.exceptions import DataError
from lampost.model.player import Player
from lampost.util.encrypt import make_hash, check_... | [
"from base64 import b64decode\nimport time\n\nfrom lampost.context.resource import m_requires\nfrom lampost.datastore.dbo import KeyDBO\nfrom lampost.datastore.dbofield import DBOField\nfrom lampost.datastore.exceptions import DataError\nfrom lampost.model.player import Player\nfrom lampost.util.encrypt import make... | false |
9,473 | 4fba13d051a3aceb393a4473cdbf6d4fc684c7ac | fname = input('Enter the file name to open')
fh = open(fname)
lst1 = list()
data = dict()
for ln in fh :
if ln.startswith("From"):
if ln.startswith('From:'):
continue
else :
word = ln.split()
lst1.append(word[1])
for word in lst1:
data[word] = dat... | [
"fname = input('Enter the file name to open')\r\nfh = open(fname)\r\nlst1 = list()\r\ndata = dict()\r\nfor ln in fh :\r\n if ln.startswith(\"From\"):\r\n if ln.startswith('From:'):\r\n continue\r\n else :\r\n word = ln.split()\r\n lst1.append(word[1])\r\nfor word i... | false |
9,474 | 988e1f0631c434cbbb6d6e973792a65ebbd9405e | print(4 / 2, 4 / 3, 4 / 4)
print(5 / 2, 5 / 3, 5 / 4)
print(4 // 2, 4 // 3, 4 // 4)
print(5 // 2, 5 // 3, 5 // 4)
print(4.0 / 2, 4 / 3.0, 4.0 / float(4))
print(5.0 / 2, 5 / 3.0, 5.0 / float(4))
print(4.0 // 2, 4 // 3.0, 4.0 // float(4))
print(5.0 // 2, 5 // 3.0, 5.0 // float(4)) | [
"print(4 / 2, 4 / 3, 4 / 4)\nprint(5 / 2, 5 / 3, 5 / 4)\nprint(4 // 2, 4 // 3, 4 // 4)\nprint(5 // 2, 5 // 3, 5 // 4)\nprint(4.0 / 2, 4 / 3.0, 4.0 / float(4))\nprint(5.0 / 2, 5 / 3.0, 5.0 / float(4))\nprint(4.0 // 2, 4 // 3.0, 4.0 // float(4))\nprint(5.0 // 2, 5 // 3.0, 5.0 // float(4))",
"print(4 / 2, 4 / 3, 4 /... | false |
9,475 | 8ae10aada79b0a687732e341d275eb3823ec0e4a | # Copyright 2021-2022 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 agre... | [
"# Copyright 2021-2022 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 applica... | false |
9,476 | 8a2fe83ab1adae7de94eb168290ce4843ab39fe1 | import numpy
import multiprocessing
from functools import partial
from textutil.text import read_file
from textutil.util import B
import mmap
import tqdm
class Growable(object):
def __init__(self, capacity=1024, dtype=numpy.uint32, grow=2):
self.grow = grow
self.capacity=capacity
self.dty... | [
"import numpy\nimport multiprocessing\nfrom functools import partial\nfrom textutil.text import read_file\nfrom textutil.util import B\nimport mmap\nimport tqdm\n\n\n\nclass Growable(object):\n def __init__(self, capacity=1024, dtype=numpy.uint32, grow=2):\n self.grow = grow\n self.capacity=capacit... | false |
9,477 | 414cb9a173ac70ad9ad1fc540aec569321fd3f8b | #!/usr/bin/python
# -*- coding: utf-8 -*-
import sys
PY2 = sys.version_info[0] == 2
if PY2:
text_type = unicode
string_types = basestring,
else:
text_type = str
string_types = str,
def with_metaclass(meta, *bases):
# This requires a bit of explanation: the basic idea is to make a dummy
# met... | [
"#!/usr/bin/python\n# -*- coding: utf-8 -*-\nimport sys\n\nPY2 = sys.version_info[0] == 2\n\nif PY2:\n text_type = unicode\n string_types = basestring,\nelse:\n text_type = str\n string_types = str,\n\n\ndef with_metaclass(meta, *bases):\n # This requires a bit of explanation: the basic idea is to ma... | false |
9,478 | ff6dc347637a81c9f6a541775646b4901d719790 | import math
def sieve(limit):
ans = []
a = [1] * limit
a[0] = a[1] = 0
for i in range(2, limit):
if a[i] == 0:
continue
ans.append(i)
for j in range(i*i, limit, i):
a[j] = 0;
return ans
is_square = lambda x: int(math.sqrt(x) + 1e-9) ** 2 == x
N = 10... | [
"import math\n\ndef sieve(limit):\n ans = []\n a = [1] * limit\n a[0] = a[1] = 0\n for i in range(2, limit):\n if a[i] == 0:\n continue\n ans.append(i)\n for j in range(i*i, limit, i):\n a[j] = 0;\n return ans\n\nis_square = lambda x: int(math.sqrt(x) + 1e-9... | false |
9,479 | c076aed1bfff51f8edf5ab4ef029b7fa7ca2422c | # -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'meet.ui'
#
# Created by: PyQt5 UI code generator 5.8.2
#
# WARNING! All changes made in this file will be lost!
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_Dialog(object):
def setupUi(self, Dialog):
Dialog.setObjectName... | [
"# -*- coding: utf-8 -*-\n\n# Form implementation generated from reading ui file 'meet.ui'\n#\n# Created by: PyQt5 UI code generator 5.8.2\n#\n# WARNING! All changes made in this file will be lost!\n\nfrom PyQt5 import QtCore, QtGui, QtWidgets\n\nclass Ui_Dialog(object):\n def setupUi(self, Dialog):\n Dia... | false |
9,480 | 49ae9e90402d784fc3af3b47e96842fbfe842104 | from utilities.MatplotlibUtility import *
from utilities.PlotDefinitions.DrainSweep.OutputCurve import plot as importedOutputCurvePlot
plotDescription = {
'name':'Chip Output Curves',
'plotCategory': 'chip',
'priority': 40,
'dataFileDependencies': ['DrainSweep.json'],
'plotDefaults': {
'figsize':(2,2.5),
'co... | [
"from utilities.MatplotlibUtility import *\nfrom utilities.PlotDefinitions.DrainSweep.OutputCurve import plot as importedOutputCurvePlot\n\n\nplotDescription = {\n\t'name':'Chip Output Curves',\n\t'plotCategory': 'chip',\n\t'priority': 40,\n\t'dataFileDependencies': ['DrainSweep.json'],\n\t'plotDefaults': {\n\t\t'f... | false |
9,481 | 51b3beee8659bccee0fbb64b80fdce18b693674b | class Solution(object):
def twoSum(self, numbers, target):
"""
:type nums: List[int]
:type target: int
:rtype: List[int]
"""
idx1 = 0
idx2 = len(numbers)-1
while(idx1<idx2): # can also use a for-loop: for num in numbers:
left = numbers[id... | [
"class Solution(object):\n def twoSum(self, numbers, target):\n \"\"\"\n :type nums: List[int]\n :type target: int\n :rtype: List[int]\n \"\"\"\n idx1 = 0\n idx2 = len(numbers)-1\n while(idx1<idx2): # can also use a for-loop: for num in numbers: \n ... | false |
9,482 | f0b5ad49fc47adc54fb16a151b4a0ed563f53a42 | from bottle import response,request,route,run
from json import dumps
import ConfigParser
import pickle
import pandas as pd
import numpy as np
from sklearn.pipeline import Pipeline
from sklearn.feature_extraction.text import CountVectorizer
from sklearn.feature_extraction.text import TfidfTransformer
from sklearn.cross_... | [
"from bottle import response,request,route,run\nfrom json import dumps\nimport ConfigParser\nimport pickle\nimport pandas as pd\nimport numpy as np\nfrom sklearn.pipeline import Pipeline\nfrom sklearn.feature_extraction.text import CountVectorizer\nfrom sklearn.feature_extraction.text import TfidfTransformer\nfrom ... | true |
9,483 | 87291d066b94aca1d94cbe5d9281fc72da1b0c35 | import numpy as np
from StudyCaseUdemy.Graph import Graph
class OrderVector:
def __init__(self, size):
self.size = size
self.last_pos = -1
self.values = np.empty(self.size, dtype=object)
def insert(self, vertex):
if self.last_pos == self.size - 1:
print('Capacidad m... | [
"import numpy as np\nfrom StudyCaseUdemy.Graph import Graph\n\nclass OrderVector:\n def __init__(self, size):\n self.size = size\n self.last_pos = -1\n self.values = np.empty(self.size, dtype=object)\n\n def insert(self, vertex):\n if self.last_pos == self.size - 1:\n pr... | false |
9,484 | 59170e6b0b0705b9908ed1c32bbea87373126594 | #coding:utf-8
#base string opeate
#rstrip()删除字符串末尾被指定的字符，默认是空格，如末尾有多个相同的字符，则一并删除
str1="djcc"
str2="adcd"
print("this's rstrip() function---------")
print(str1.rstrip("c"))
print(str1.rstrip("d"))
#replace()用新字符替换字符串中被指定的字符,str.replace(old, new[, max]),max表示替换多少个,如不指定，全部替换
str3="this is history,it is not fake"
prin... | [
"#coding:utf-8\n\n#base string opeate\n\n#rstrip()删除字符串末尾被指定的字符，默认是空格，如末尾有多个相同的字符，则一并删除\nstr1=\"djcc\"\nstr2=\"adcd\"\nprint(\"this's rstrip() function---------\")\nprint(str1.rstrip(\"c\"))\nprint(str1.rstrip(\"d\"))\n\n\n#replace()用新字符替换字符串中被指定的字符,str.replace(old, new[, max]),max表示替换多少个,如不指定，全部替换\n\nstr3=\"this i... | false |
9,485 | 896d836ede533bad24f4077e5ba964105d96bf7a | list1=[('北京大洋路', '红蛋', '散框批发', '120-125', '44', '落', '8车'), ('北京回龙观', '红蛋', '散框批发', '124', '44', '落', ''), ('北京石门', '红蛋', '散框批发', '124', '44', '落', '') ]
mysql_data=[]
import numpy as np
for l in list1:
array = np.array(l)
tolist = array.tolist()
tolist.insert(0,'ppp')
tolist.append('lll')
mysql_dat... | [
"list1=[('北京大洋路', '红蛋', '散框批发', '120-125', '44', '落', '8车'), ('北京回龙观', '红蛋', '散框批发', '124', '44', '落', ''), ('北京石门', '红蛋', '散框批发', '124', '44', '落', '') ]\nmysql_data=[]\nimport numpy as np\nfor l in list1:\n array = np.array(l)\n tolist = array.tolist()\n tolist.insert(0,'ppp')\n tolist.append('lll')\n... | false |
9,486 | 5dcb20f52b5041d5f9ea028b383e0f2f10104af9 | from collections import deque
s = list(input().upper())
new = list(set(s)) # 중복 제거 한 알파벳 리스트로 카운트 해줘야 시간초과 안남
n = {}
for i in new:
n[i] = s.count(i)
cnt = deque()
for k, v in n.items():
cnt.append(v)
if cnt.count(max(cnt)) >1:
print('?')
else:
print(max(n, key=n.get))
| [
"from collections import deque\ns = list(input().upper())\nnew = list(set(s)) # 중복 제거 한 알파벳 리스트로 카운트 해줘야 시간초과 안남\nn = {}\nfor i in new:\n n[i] = s.count(i)\n\ncnt = deque()\nfor k, v in n.items():\n cnt.append(v)\n\nif cnt.count(max(cnt)) >1:\n print('?')\nelse:\n print(max(n, key=n.get))\n\n",
"from ... | false |
9,487 | 7618d7fde3774a04ac2005dad104e54b9988d3e8 | def execute(n,dico):
"""
Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.
Renvoie une liste dont chaque élément est une réponse de la requête.
"""
l = []
import sqlite3
conn = sqlite3.connect('imdb.db')
c = conn.cursor()
c.execute(dic... | [
"def execute(n,dico):\n \"\"\"\n Prend en argument n, la position de la requête dans le dictionaire et dico le nom du dictionnaire.\n Renvoie une liste dont chaque élément est une réponse de la requête.\n \"\"\"\n l = []\n import sqlite3\n conn = sqlite3.connect('imdb.db')\n c = conn.cursor(... | false |
9,488 | 570e0d46aa1ea88d1784447e8f693199e3c3b6ad | from __future__ import print_function
from __future__ import absolute_import
#
# LinkedIn Sales Module
#
import requests
from bs4 import BeautifulSoup
import logging
from plugins.base import PageGrabber
from plugins.colors import BodyColors as bc
import json
try:
import __builtin__ as bi
except:
import builtins... | [
"from __future__ import print_function\nfrom __future__ import absolute_import\n#\n# LinkedIn Sales Module\n#\nimport requests\nfrom bs4 import BeautifulSoup\nimport logging\nfrom plugins.base import PageGrabber\nfrom plugins.colors import BodyColors as bc\nimport json\ntry:\n import __builtin__ as bi\nexcept:\n... | false |
9,489 | 67f09cd8b41c7a4fe457766dfed916aaf71cc20d | # -*- coding: utf-8 -*-
"""
Created on Thu Jul 27 18:34:40 2017
@author: Peiyong Jiang :jiangpeiyong@impcas.ac.cn
Wangsheng Wang : wwshunan@impcas.ac.cn
Chi Feng : fengchi@impcas.ac.cn
supervised by
Zhijun Wang & Yuan He
"""
import os
from ... | [
"# -*- coding: utf-8 -*-\r\n\"\"\"\r\nCreated on Thu Jul 27 18:34:40 2017\r\n\r\n@author: Peiyong Jiang :jiangpeiyong@impcas.ac.cn\r\n Wangsheng Wang : wwshunan@impcas.ac.cn\r\n Chi Feng : fengchi@impcas.ac.cn\r\n \r\n supervised by\r\n Zhijun Wang & Yuan He\r\n\r\n ... | false |
9,490 | 146487738006ce3efb5bd35c425835a1fd8e0145 | # -*- coding: utf-8 -*-
#some xml helpers
from xml.dom.minidom import Document
class XMLReport:
def __init__(self, name):
self.doc = Document()
self.main_node = self.add(name, node=self.doc)
def add(self, name, node=None):
if node is None: node = self.main_node
elem = self.doc.createElement(name)
... | [
"# -*- coding: utf-8 -*-\n#some xml helpers\nfrom xml.dom.minidom import Document\n\nclass XMLReport:\n def __init__(self, name):\n\tself.doc = Document()\n\tself.main_node = self.add(name, node=self.doc)\n \n def add(self, name, node=None):\n\tif node is None: node = self.main_node\n\telem = self.doc.... | true |
9,491 | 3bec28561c306a46c43dafc8bdc2e01f2ea06180 | from mlagents_envs.registry import default_registry
from mlagents_envs.envs.pettingzoo_env_factory import logger, PettingZooEnvFactory
# Register each environment in default_registry as a PettingZooEnv
for key in default_registry:
env_name = key
if key[0].isdigit():
env_name = key.replace("3", "Three")... | [
"from mlagents_envs.registry import default_registry\nfrom mlagents_envs.envs.pettingzoo_env_factory import logger, PettingZooEnvFactory\n\n# Register each environment in default_registry as a PettingZooEnv\nfor key in default_registry:\n env_name = key\n if key[0].isdigit():\n env_name = key.replace(\... | false |
9,492 | 92dc0bd3cfcddd98f99d8152d0221f047beb4fb0 | #! /usr/bin/python
# -*- coding: utf8 -*-
# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4
import unittest
from pyama.filereader import FileReader,Segment
class TestFileReader(unittest.TestCase):
def test_reads_file(self):
reader = FileReader(
"sample_reader_test.txt",
regexe... | [
"#! /usr/bin/python\n# -*- coding: utf8 -*-\n# vim: tabstop=8 expandtab shiftwidth=4 softtabstop=4\nimport unittest\n\nfrom pyama.filereader import FileReader,Segment\n\n\nclass TestFileReader(unittest.TestCase):\n def test_reads_file(self):\n reader = FileReader(\n \"sample_reader_test.txt\",\... | false |
9,493 | f8a31cdf5f55b5aed33a407d2c008ba9b969d655 | import cv2
import glob
import numpy as np
import csv
import matplotlib.pyplot as plt
from pydarknet import Detector,Image
"""
Calculates the average precision based on the precision and recall values,
which are essentially the output of getPrecisionRecall
Returns the 101pt interpolation curve and a single av... | [
"import cv2\r\nimport glob\r\nimport numpy as np\r\nimport csv\r\nimport matplotlib.pyplot as plt\r\nfrom pydarknet import Detector,Image\r\n\r\n\"\"\"\r\nCalculates the average precision based on the precision and recall values,\r\nwhich are essentially the output of getPrecisionRecall\r\nReturns the 101pt interpo... | false |
9,494 | 9bb1fc4df80d183c70d70653faa3428964b93a94 | from django.db import models
class FoodCategory(models.Model):
id = models.AutoField(primary_key=True)
name = models.CharField(max_length=200, default='')
class Meta:
db_table = 'kitchenrock_category'
def __str__(self):
return self.name | [
"from django.db import models\n\nclass FoodCategory(models.Model):\n id = models.AutoField(primary_key=True)\n name = models.CharField(max_length=200, default='')\n\n class Meta:\n db_table = 'kitchenrock_category'\n\n def __str__(self):\n return self.name",
"from django.db import model... | false |
9,495 | f6d7ce2d020d11086640a34aac656098ab0b0f33 | from datetime import date
atual = date.today().year
totmaior = 0
totmenor = 0
for pessoas in range (1, 8):
nasc = int(input(f'Qual sua data de nascimento? {pessoas}º: '))
idade = atual - nasc
if idade >= 21:
totmaior += 1
else:
totmenor += 1
print(f'Ao todo tivemos {totmaior} pessoas mai... | [
"from datetime import date\natual = date.today().year\ntotmaior = 0\ntotmenor = 0\nfor pessoas in range (1, 8):\n nasc = int(input(f'Qual sua data de nascimento? {pessoas}º: '))\n idade = atual - nasc\n if idade >= 21:\n totmaior += 1\n else:\n totmenor += 1\nprint(f'Ao todo tivemos {totma... | false |
9,496 | 8a54a71b08d10c5da9ca440e8e4f61f908e00d54 | A = input("입력해주세요.\n") #입력값을 in_AAA로 칭한다
#\n은 문법의 줄바꾸기
print(A.upper()+" World!") #in_AAA를 출력 + "World!")
#upper()는 앞의 값을 대문자화+"
| [
"A = input(\"입력해주세요.\\n\") #입력값을 in_AAA로 칭한다\r\n #\\n은 문법의 줄바꾸기\r\n\r\nprint(A.upper()+\" World!\") #in_AAA를 출력 + \"World!\")\r\n #upper()는 앞의 값을 대문자화+\"\r\n",
"A = input('입력해주세요.\\n')\nprint(A.upper() + ' World!')\n",
"<assignment to... | false |
9,497 | 48755cf48c6696259d0c319d382021f33751ac01 | def squirrel_play(temp, is_summer):
if is_summer == True :
if 60 <= temp <= 100 :
return True
else :
return False
if is_summer == False :
if 60 <= temp <= 90 :
return True
else :
return False | [
"def squirrel_play(temp, is_summer):\n\tif is_summer == True :\n\t\tif 60 <= temp <= 100 :\n\t\t\treturn True\n\t\telse : \n\t\t\treturn False\n\tif is_summer == False :\n\t\tif 60 <= temp <= 90 :\n\t\t\treturn True\n\t\telse :\n\t\t\treturn False",
"def squirrel_play(temp, is_summer):\n if is_summer == True:\... | false |
9,498 | 752679d2484b6b91a734c7cbe4a99bd5676661eb | import numpy as np
def output(i, out):
with open('B-large.out', 'a') as outfile:
outfile.write("Case #{0}: {1}\n".format(i, out))
def solve(i, stack):
cursymbol = stack[0]
counter = 0 if stack[-1] == "+" else 1
for symbol in stack:
if symbol != cursymbol:
... | [
"import numpy as np\r\n\r\ndef output(i, out):\r\n with open('B-large.out', 'a') as outfile:\r\n outfile.write(\"Case #{0}: {1}\\n\".format(i, out))\r\n\r\ndef solve(i, stack): \r\n cursymbol = stack[0]\r\n counter = 0 if stack[-1] == \"+\" else 1\r\n for symbol in stack:\r\n ... | false |
9,499 | f2d7f0b0d27bd43223d0eb6a6279b67968461dad | # binary search
# iterative
def Iter_BinarySearch(array,b,e,value):
while(b<=e):#pay attention to the judgement!
mid=(b+e)/2#floor
if (array[mid]<value):#value in [mid,e]
b=mid+1
elif (array[mid]>value):#value in [b,mid]
e=mid-1
else:
print "find ... | [
"# binary search\n\n# iterative\ndef Iter_BinarySearch(array,b,e,value):\n while(b<=e):#pay attention to the judgement!\n mid=(b+e)/2#floor\n if (array[mid]<value):#value in [mid,e]\n b=mid+1\n elif (array[mid]>value):#value in [b,mid]\n e=mid-1\n else:\n ... | true |
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