index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
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... |
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.... |
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... |
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:
... |
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... |
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... |
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):
... |
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... |
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() |
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... |
9,410 | 8c7fe90972feec19e280d3bccd39391af666608a | def play():
print("playing tank games...")
print("runing tank now!!!") |
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... |
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... |
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... |
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 = "... |
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) |
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)) |
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') |
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... |
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... |
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... |
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 ])
|
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... |
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:
... |
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 ... |
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'... |
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... |
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... |
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... |
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/... |
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,
... |
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... |
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... |
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,"\
... |
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... |
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'
... |
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'),
('... |
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) |
9,438 | 56afde2a31ad9dddee35e84609dff2eb0fc6fe1a | # Mezzanine Django Framework createdb error on Max OSX 10.9.2
import django
django.version
|
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... |
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... |
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 ... |
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... |
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... |
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 "... |
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... |
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... |
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... |
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... |
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... |
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)
|
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... |
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... |
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... |
9,454 | 356c817e254d8885beb447aa10759fff6a45ca25 | from microbit import *
import music
while True:
if button_a.is_pressed():
music.pitch(400,500)
|
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... |
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... |
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]) |
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... |
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 ... |
9,460 | 26289d88ac51ee359faa81ca70b01879d2b1f840 | pairs = ['usdt', 'btc']
warn_msg = '** WARN ** '
info_msg = '** INFO **'
|
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')
|
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... |
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... |
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'
... |
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... |
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... |
9,467 | caf83d35ce6e0bd4e92f3de3a32221705a529ec1 | #!/usr/bin/env python3
# ---------------------------------------------------
# SSHSploit Framework
# ---------------------------------------------------
# Copyright (C) <2020> <Entynetproject>
#
# This program is free soft... |
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... |
9,469 | 54276074d84e63e6418f8738bb7f910424f1c94d | import sys
import os
PROJ_DIR = os.path.dirname(os.path.dirname(__file__))
sys.path.append(PROJ_DIR) |
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... |
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)
|
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_... |
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... |
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)) |
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... |
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... |
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... |
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... |
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... |
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... |
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... |
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_... |
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... |
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... |
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... |
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))
|
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... |
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... |
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 ... |
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)
... |
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")... |
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... |
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... |
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 |
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... |
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+"
|
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 |
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:
... |
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 ... |
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