text stringlengths 0 1.05M | meta dict |
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__author__ = 'cpaulson'
import pyKriging
from pyKriging.krige import kriging
from pyKriging.samplingplan import samplingplan
# The Kriging model starts by defining a sampling plan, we use an optimal Latin Hypercube here
sp = samplingplan(2)
X = sp.optimallhc(15)
# Next, we define the problem we would like to solve
te... | {
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"path": "01-codes/pyKriging-master/examples/2D_simple_train_expected_improvement.py",
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__author__ = 'cpaulson'
import numpy as np
from numpy.matlib import ones, eye
from pyKriging import kriging
class coKriging():
def __init__(self, Xc, yc, Xe, ye):
# Create the data arrays
self.Xc = np.atleast_2d(Xc).T
self.yc = yc
self.nc = self.Xc.shape[0]
self.Xe = np.... | {
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"path": "01-codes/pyKriging-master/pyKriging/coKriging.py",
"copies": "1",
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"autogenerated": false,
"ratio": 2.9060568... |
__author__ = 'cpaulson'
import numpy as np
from numpy.matlib import rand,zeros,ones,empty,eye
from pyKriging import kriging
class coKriging():
def __init__(self, Xc, yc, Xe, ye):
# Create the data arrays
self.Xc = np.atleast_2d(Xc).T
self.yc = yc
self.nc = self.Xc.shape[0]
... | {
"repo_name": "capaulson/pyKriging",
"path": "pyKriging/coKriging.py",
"copies": "1",
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"license": "mit",
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"autogenerated": false,
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__author__ = 'cpierret'
import io
import struct
_bpk = bytes(b'PK\003\004')
_dirpk = bytes(b'PK\001\002')
_firstHeader = {
'[': 'Content_Types].xml',
'x': 'l/',
'd': 'ocProps/',
'_': 'rels/.rels'
}
_excelOffsetStringDict = {
0: b'\x09\x04\x06\x00\x00\x00\x10\x00',
2080: b"Microsoft Excel 5.0 W... | {
"repo_name": "cpierret/pyxl-magic",
"path": "pyxl-magic.py",
"copies": "1",
"size": "4051",
"license": "apache-2.0",
"hash": 5605617627699429000,
"line_mean": 39.1089108911,
"line_max": 151,
"alpha_frac": 0.5104912367,
"autogenerated": false,
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... |
__author__ = 'cpt'
"""Initial extraction of sas queries from wrdsapi.
Idea to make into a general class to generate queries to be passed through
wrdsapi.
"""
from . import utility as wrds_util
import os
import re
def wrds_sas_script(download_path, dataset, year, month=0, day=0, rows=[]):
"""Generates a .sas fil... | {
"repo_name": "Craig-PT/pywrds",
"path": "pywrds/sas_query.py",
"copies": "1",
"size": "2980",
"license": "bsd-3-clause",
"hash": 5161933224125479000,
"line_mean": 31.3913043478,
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"alpha_frac": 0.4872483221,
"autogenerated": false,
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__author__ = 'cpt'
import os
import json
import re
import datetime
import time
import math
import shutil
import paramiko
from _wrds_db_descriptors import WRDS_DOMAIN, _GET_ALL, FIRST_DATES, \
FIRST_DATE_GUESSES, AUTOEXEC_TEXT, WRDS_USER_QUOTA
from pywrds import sshlib
from pywrds import utility as wrds_util
from... | {
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"path": "pywrds/wrdsapi.py",
"copies": "1",
"size": "38936",
"license": "bsd-3-clause",
"hash": -4342997565028721000,
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__author__ = 'cpt'
"""
Utility functions for WRDS manipulations.
Generally, taking outside of wrdsapi any static methods.
"""
import re
import datetime
import os
import time
def rows_per_file_adjusted(dataset):
""" Chooses a number of rows to query to ensure that the files produced
do not approach the 1 GB ... | {
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TICKER = 1
WAVE_VELOCITY = 10
from Tkinter import *
top = Tk()
top.title('Doppler effect')
ca = Canvas(bd=0,highlightthickness=0,bg="white")
ca.pack(expand=YES,fill=BOTH)
ca.config(width=640,height=480)
class Wave:
def __init__(self, ca, vel, x, y):
self.life = 0
self.canvas = ca
self.vel = vel
self.pos = ... | {
"repo_name": "cptx032/miniprojects",
"path": "doppler.py",
"copies": "1",
"size": "2402",
"license": "unlicense",
"hash": -1530097305278883300,
"line_mean": 25.7,
"line_max": 70,
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"autogenerated": false,
"ratio": 2.4839710444674252,
"config_test": false,
"has_no_ke... |
__author__ = 'CQC'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import re
import thread
import time
#糗事百科爬虫类
class QSBK:
#初始化方法，定义一些变量
def __init__(self):
self.pageIndex = 1
self.user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)'
#初始化headers
self.headers = { '... | {
"repo_name": "zhangmhao/crawl-house",
"path": "prototype/spider-qiushibaike.py",
"copies": "1",
"size": "4279",
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"hash": -2761944601421572600,
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"autogenerated": false,
"ratio": 2.311307901907357,
"config_t... |
__author__ = 'CQC'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import re
#处理页面标签类
class Tool:
#去除img标签,7位长空格
removeImg = re.compile('<img.*?>| {7}|')
#删除超链接标签
removeAddr = re.compile('<a.*?>|</a>')
#把换行的标签换为\n
replaceLine = re.compile('<tr>|<div>|</div>|</p>')
#将表格制表<td>替换为\t
re... | {
"repo_name": "zhangmhao/crawl-house",
"path": "prototype/spider-baiduTieba.py",
"copies": "1",
"size": "2901",
"license": "mit",
"hash": 1816679850483613200,
"line_mean": 28.1590909091,
"line_max": 93,
"alpha_frac": 0.546588694,
"autogenerated": false,
"ratio": 2.4639769452449567,
"config_test... |
__author__ = 'CQC'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import cookielib
import re
import webbrowser
import tool
#模拟登录淘宝类
class Taobao:
#初始化方法
def __init__(self):
#登录的URL
self.loginURL = "https://login.taobao.com/member/login.jhtml"
#代理IP地址，防止自己的IP被封禁
self.proxy... | {
"repo_name": "zhangmhao/crawl-house",
"path": "prototype/spider-taoballist.py",
"copies": "1",
"size": "12386",
"license": "mit",
"hash": 7391967095079775000,
"line_mean": 35.7333333333,
"line_max": 772,
"alpha_frac": 0.5762323271,
"autogenerated": false,
"ratio": 2.3108167770419428,
"config_t... |
####AUTHOR/CREDIT: O'Brien, Oliver (o.obrien@ucl.ac.uk)
#Paramters: startID (in order of the london.csv file - not necc numerical order!), maxID
import csv
import os
import sys
def routing():
locations = []
maxID = int(sys.argv[3])
csvreader = csv.reader(open('london.csv', 'r'))
for row in csvread... | {
"repo_name": "oscarechobravo/ftc2050-toolchain",
"path": "routino.py",
"copies": "1",
"size": "1343",
"license": "apache-2.0",
"hash": -8411698330467659000,
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"autogenerated": false,
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"config_tes... |
__author__ = 'cristian'
import MySQLdb
import MySQLdb.cursors
class MySql:
_host = ''
_user = ''
_password = ''
_database = ''
_con = None
error = ''
last_id = 0
num_rows = 0
def __init__(self, mysql_host, mysql_user, mysql_pass, mysql_db):
self._host = mysql_host
... | {
"repo_name": "ceakki/ddns-server",
"path": "dns/mysql.py",
"copies": "1",
"size": "2003",
"license": "mit",
"hash": 3517876505594465300,
"line_mean": 23.4390243902,
"line_max": 89,
"alpha_frac": 0.4583125312,
"autogenerated": false,
"ratio": 4.207983193277311,
"config_test": false,
"has_no_k... |
__author__ = 'croxis'
from datetime import datetime
from flask import flash, redirect, render_template, request, url_for
from flask.ext.login import current_user, login_required, login_user, logout_user
from werkzeug.contrib.atom import AtomFeed
from . import user
from ..models import User
from .forms import LoginForm,... | {
"repo_name": "croxis/kmr",
"path": "app/user/views.py",
"copies": "1",
"size": "3597",
"license": "mit",
"hash": 15622878305283932,
"line_mean": 37.2765957447,
"line_max": 98,
"alpha_frac": 0.6427578538,
"autogenerated": false,
"ratio": 3.8103813559322033,
"config_test": false,
"has_no_keywo... |
__author__ = 'croxis'
from datetime import datetime
import mimetypes
import random
from flask import abort, flash, make_response, redirect, render_template, request, url_for
from flask.ext.login import current_user, login_required
from . import mod
from .forms import ModDownloadUpdateForm, ModEditForm, ModRegisterForm... | {
"repo_name": "croxis/kmr",
"path": "app/mod/views.py",
"copies": "1",
"size": "9657",
"license": "mit",
"hash": 3099745709020508000,
"line_mean": 40.4506437768,
"line_max": 135,
"alpha_frac": 0.6301128715,
"autogenerated": false,
"ratio": 3.7113758647194466,
"config_test": false,
"has_no_key... |
__author__ = 'croxis'
from flask_wtf import Form
from flask_wtf.file import FileField, FileAllowed, FileRequired
from wtforms import SubmitField, TextField, TextAreaField, ValidationError
from wtforms.validators import Optional, Required
from flask.ext.pagedown.fields import PageDownField
from ..models import Mod
c... | {
"repo_name": "croxis/kmr",
"path": "app/mod/forms.py",
"copies": "1",
"size": "2440",
"license": "mit",
"hash": 2784830012214971400,
"line_mean": 47.82,
"line_max": 142,
"alpha_frac": 0.7155737705,
"autogenerated": false,
"ratio": 4.326241134751773,
"config_test": false,
"has_no_keywords": f... |
__author__ = 'croxis'
from io import BytesIO
import random
import re
from PIL import Image, ImageDraw, ImageFont
import requests
import lib.transforms as transforms
import lib.utils as utils
from lib.manalib import Manatext
from . import magic_image
from . import img_manager
try:
import textwrap
import nltk... | {
"repo_name": "croxis/mtgai",
"path": "app/card_visual.py",
"copies": "1",
"size": "12141",
"license": "mit",
"hash": 1580799061882881800,
"line_mean": 35.1339285714,
"line_max": 79,
"alpha_frac": 0.4854624825,
"autogenerated": false,
"ratio": 3.750695088044486,
"config_test": false,
"has_no_... |
__author__ = 'croxis'
import os.path
from PIL import Image
COLORS = {'white': 'w',
'black': 'b',
'blue': 'u',
'green': 'g',
'red': 'r',
'colorless': 'c',
'artifact': 'a',
'multicolor': 'm'}
C = {v: k for k, v in COLORS.items()}
class ImageManager... | {
"repo_name": "croxis/mtgai",
"path": "app/image_manager.py",
"copies": "1",
"size": "2261",
"license": "mit",
"hash": 6680155407458835000,
"line_mean": 31.3,
"line_max": 103,
"alpha_frac": 0.5444493587,
"autogenerated": false,
"ratio": 3.2025495750708215,
"config_test": false,
"has_no_keywor... |
__author__ = 'croxis'
from datetime import datetime
import mimetypes
import random
from flask import abort, current_app, jsonify, make_response, render_template, request
from flask.ext.login import current_user
from . import main
from ..models import Mod, mongo
@main.route('/')
def index():
user_agent = reques... | {
"repo_name": "croxis/kmr",
"path": "app/main/views.py",
"copies": "1",
"size": "3100",
"license": "mit",
"hash": -7740487037489334000,
"line_mean": 30.6428571429,
"line_max": 89,
"alpha_frac": 0.5938709677,
"autogenerated": false,
"ratio": 4.133333333333334,
"config_test": false,
"has_no_key... |
__author__ = 'croxis'
from flask.ext.login import AnonymousUserMixin, LoginManager, UserMixin
from flask.ext.mongoengine import MongoEngine
from werkzeug.security import generate_password_hash, check_password_hash
import bcrypt
# Break the cycle of circular dependency
mongo = MongoEngine()
login = LoginManager()
@... | {
"repo_name": "croxis/kmr",
"path": "app/models.py",
"copies": "1",
"size": "4495",
"license": "mit",
"hash": -2229914786500480800,
"line_mean": 34.952,
"line_max": 118,
"alpha_frac": 0.7122190073,
"autogenerated": false,
"ratio": 4.191231343283582,
"config_test": false,
"has_no_keywords": fa... |
__author__ = 'croxis'
from flask import abort, flash, jsonify, make_response, redirect, render_template, request, url_for
from flask.ext.openid import OpenID # OpenID support broken until fix: https://github.com/mitsuhiko/flask-openid/pull/34
from flask.ext.pagedown.fields import PageDownField
from flask_wtf import... | {
"repo_name": "croxis/kmr",
"path": "app/main/kmr.py",
"copies": "1",
"size": "1047",
"license": "mit",
"hash": 3628862929456666600,
"line_mean": 24.5609756098,
"line_max": 121,
"alpha_frac": 0.7258834766,
"autogenerated": false,
"ratio": 3.6228373702422147,
"config_test": false,
"has_no_keyw... |
__author__ = 'croxis'
from flask_wtf import Form
from flask_wtf.file import FileField
from wtforms import TextField, TextAreaField, ValidationError
from wtforms.validators import Required
from flask.ext.pagedown.fields import PageDownField
from ..models import Mod, User
'''class OIDLoginForm(Form):
"""OID user ... | {
"repo_name": "croxis/kmr",
"path": "app/main/forms.py",
"copies": "1",
"size": "1159",
"license": "mit",
"hash": 4696400715043045000,
"line_mean": 34.1212121212,
"line_max": 98,
"alpha_frac": 0.7100949094,
"autogenerated": false,
"ratio": 4.066666666666666,
"config_test": false,
"has_no_keyw... |
__author__ = 'croxis'
from flask_wtf import Form
from wtforms import BooleanField, PasswordField, SubmitField, TextField, ValidationError
from wtforms.validators import Email, EqualTo, Required
from ..models import User
class LoginForm(Form):
username = TextField('User Name', validators=[Required()])
passwo... | {
"repo_name": "croxis/kmr",
"path": "app/user/forms.py",
"copies": "1",
"size": "1365",
"license": "mit",
"hash": -3902717611878918700,
"line_mean": 39.1764705882,
"line_max": 119,
"alpha_frac": 0.7157509158,
"autogenerated": false,
"ratio": 4.431818181818182,
"config_test": false,
"has_no_ke... |
__author__ = 'croxis'
"""
Python source: https://gist.github.com/petrklus/b1f427accdf7438606a6
Original pseudo code:
Set Temperature = Temperature \ 100
Calculate Red:
If Temperature <= 66 Then
Red = 255
Else
Red = Temperature - 60
Red = 329.698727446 * (Red ^ -0.13320... | {
"repo_name": "croxis/Panda-Core-Technology",
"path": "Planets/utils/blackbody.py",
"copies": "1",
"size": "2901",
"license": "mit",
"hash": 7705592892069374000,
"line_mean": 23.593220339,
"line_max": 79,
"alpha_frac": 0.5429162358,
"autogenerated": false,
"ratio": 3.5814814814814815,
"config_t... |
__author__ = 'croxis'
import sandbox
from direct.directnotify.DirectNotify import DirectNotify
log = DirectNotify().newCategory("SpaceDrive-ClientNet")
#PROPOSAL! {server entity id: client entity id} and reverse lookup dict too
class ClientNetworkSystem(sandbox.UDPNetworkSystem):
def init2(self):
... | {
"repo_name": "croxis/SpaceDrive",
"path": "spacedrive/networking/client_networking.py",
"copies": "1",
"size": "2496",
"license": "mit",
"hash": 3542728348685860400,
"line_mean": 35.2537313433,
"line_max": 95,
"alpha_frac": 0.6574519231,
"autogenerated": false,
"ratio": 4.146179401993355,
"con... |
__author__ = 'croxis'
"""
Python source: https://gist.github.com/petrklus/b1f427accdf7438606a6
Original pseudo code:
Set Temperature = Temperature \ 100
Calculate Red:
If Temperature <= 66 Then
Red = 255
Else
Red = Temperature - 60
Red = 329.698727446 * (R... | {
"repo_name": "croxis/SpaceDrive",
"path": "spacedrive/utils/blackbody.py",
"copies": "1",
"size": "3018",
"license": "mit",
"hash": -7012207628510967000,
"line_mean": 23.593220339,
"line_max": 79,
"alpha_frac": 0.5218687873,
"autogenerated": false,
"ratio": 3.7121771217712176,
"config_test": f... |
import requests
import optparse
import sys
import threading
import time
import Queue
import re
from progressbar import ProgressBar
header = {
"Accept": "text/html,application/xhtml+xml,application/xml;q=0.9,*/*;q=0.8",
'Accept-Encoding': 'gzip, deflate, compress',
'Cache-Control': 'max-age=0',
'Connection': 'keep-ali... | {
"repo_name": "RicterZ/moescan",
"path": "tools/DirScan/pldirscan.py",
"copies": "1",
"size": "4027",
"license": "mit",
"hash": -2029998308000329200,
"line_mean": 34.8648648649,
"line_max": 307,
"alpha_frac": 0.5342878674,
"autogenerated": false,
"ratio": 3.3037344398340247,
"config_test": fals... |
__author__ = 'CSPF'
from ..config import db
class User(db.Model):
__tablename__ = "users"
id = db.Column("id",db.Integer,primary_key=True,autoincrement=True)
username = db.Column('username',db.String(20),unique=True,index=True)
password = db.Column('password',db.String(50))
def __init__(self,usern... | {
"repo_name": "breakthesec/DodoVulnerableBank",
"path": "DodoRESTAPI/app/model/Users.py",
"copies": "1",
"size": "1139",
"license": "mit",
"hash": 6843217516838618000,
"line_mean": 24.3111111111,
"line_max": 93,
"alpha_frac": 0.5899912204,
"autogenerated": false,
"ratio": 3.9411764705882355,
"c... |
__author__ = 'CSPF'
from ..config import app
from .. model.Transaction import Transaction
from .. model.Account import Account
from flask import request,jsonify
@app.route("/transaction/statement/<int:customer_id>",methods=['POST',"GET"])
def view_statement(customer_id):
transactions = Transaction.query.filt... | {
"repo_name": "breakthesec/DodoVulnerableBank",
"path": "DodoRESTAPI/app/controller/transaction.py",
"copies": "1",
"size": "1850",
"license": "mit",
"hash": -2944468790624310000,
"line_mean": 44.3,
"line_max": 134,
"alpha_frac": 0.5994594595,
"autogenerated": false,
"ratio": 4.579207920792079,
... |
__author__ = 'CSPF'
from ..config import db
class Account(db.Model):
__tablename__ = "accounts"
id = db.Column("id",db.Integer,primary_key=True)
branch = db.Column('branch',db.String(50))
account_number = db.Column('account_number',db.String(50))
balance = db.Column('balance',db.Integer)
... | {
"repo_name": "breakthesec/DodoVulnerableBank",
"path": "DodoRESTAPI/app/model/Account.py",
"copies": "1",
"size": "1420",
"license": "mit",
"hash": -7613404034541715000,
"line_mean": 30.2727272727,
"line_max": 77,
"alpha_frac": 0.5725352113,
"autogenerated": false,
"ratio": 3.641025641025641,
... |
__author__ = 'CSPF'
from ..config import db
class Transaction(db.Model):
__tablename__ = "transaction"
id = db.Column("id", db.Integer, primary_key=True, autoincrement=True)
customer_id = db.Column("customer_id", db.Integer)
amount = db.Column('amount', db.Integer)
remarks = db.Column('re... | {
"repo_name": "breakthesec/DodoVulnerableBank",
"path": "DodoRESTAPI/app/model/Transaction.py",
"copies": "1",
"size": "1250",
"license": "mit",
"hash": 481864319006227140,
"line_mean": 35.8787878788,
"line_max": 103,
"alpha_frac": 0.6328,
"autogenerated": false,
"ratio": 3.8580246913580245,
"c... |
__author__ = 'CSPF'
import os
from OpenSSL import crypto
import socket, ssl
from utils import get_home_dir
class SSLCertifiacate:
def __init__(self,host=None):
self.host = host
ssl_dir = os.path.join(get_home_dir(), "ssl")
self.key_path = os.path.join(ssl_dir, "dodo.key")
... | {
"repo_name": "breakthesec/DodoVulnerableBank",
"path": "DodoRESTAPI/app/digital_certificate.py",
"copies": "1",
"size": "1868",
"license": "mit",
"hash": -2807401258273301000,
"line_mean": 33.9230769231,
"line_max": 135,
"alpha_frac": 0.5867237687,
"autogenerated": false,
"ratio": 3.341681574239... |
_author_ = 'ctippur'
import boto3
import os
from aws_requests_auth.aws_auth import AWSRequestsAuth
class credsaws():
## init
session = boto3.session.Session()
#es_host='search-enrichment-service-ebin6h6q5xc7ehx2snhwbtyl3m.us-west-2.es.amazonaws.com'
#es_host=os.environ['es_endpoint']
def __init__(s... | {
"repo_name": "ctippur/swaggeralliance",
"path": "src/python/flask/swagger_server/lib/aws/Creds.py",
"copies": "1",
"size": "1614",
"license": "apache-2.0",
"hash": -4570439810450338300,
"line_mean": 28.3454545455,
"line_max": 94,
"alpha_frac": 0.6059479554,
"autogenerated": false,
"ratio": 3.456... |
__author__ = 'Călin Sălăgean'
class Person():
__id_class = 0
def __init__(self, first_name = None, last_name = None, address = None, id = None):
'''
Person class constructor
:param name:
:param address:
:param event:
:return: Class instance
'''
... | {
"repo_name": "dooma/Events",
"path": "events/models/person.py",
"copies": "1",
"size": "2816",
"license": "mit",
"hash": 2847937633247938000,
"line_mean": 24.5818181818,
"line_max": 92,
"alpha_frac": 0.5151084252,
"autogenerated": false,
"ratio": 4.307810107197549,
"config_test": false,
"has... |
__author__ = 'Călin Sălăgean'
from datetime import datetime
import re
class Event():
__id_class = 0
def __init__(self, date = None, time = None, description = None, id = None):
'''
Event class contructor
:param date:
:param time:
:param description:
:return: In... | {
"repo_name": "dooma/Events",
"path": "events/models/event.py",
"copies": "1",
"size": "2981",
"license": "mit",
"hash": -1009934390293902100,
"line_mean": 23.825,
"line_max": 108,
"alpha_frac": 0.5080591001,
"autogenerated": false,
"ratio": 4.444776119402985,
"config_test": false,
"has_no_ke... |
__author__ = 'Călin Sălăgean'
from events.controllers.event import EventController
from events.controllers.person import PersonController
class Menu():
text = """
1. Adaugare persoana
2. Afisare persoane
3. Afisare persoana selectata
4. Stergere persaoana
5. Editare persoa... | {
"repo_name": "dooma/Events",
"path": "start.py",
"copies": "1",
"size": "4508",
"license": "mit",
"hash": 1671441266844625400,
"line_mean": 29.8630136986,
"line_max": 88,
"alpha_frac": 0.6057713651,
"autogenerated": false,
"ratio": 3.533333333333333,
"config_test": false,
"has_no_keywords": ... |
__author__ = 'Călin Sălăgean'
from events.models.event import Event
from events.repositories.event import EventRepository
from events.repositories.person_event import PersonEventRepository
from events.repositories.person import PersonRepository
class EventController():
def __init__(self):
'''
Even... | {
"repo_name": "dooma/Events",
"path": "events/controllers/event.py",
"copies": "1",
"size": "6395",
"license": "mit",
"hash": -3859223540747952600,
"line_mean": 26.3205128205,
"line_max": 133,
"alpha_frac": 0.5292553191,
"autogenerated": false,
"ratio": 4.3394433129667345,
"config_test": false,... |
__author__ = 'Călin Sălăgean'
from events.models.person import Person
from utils.IO import IO
class PersonRepository():
def __init__(self, filename = 'person.json'):
'''
PersonRepository class constructor
:param filename: Default value 'person.json'
:return:
'''
se... | {
"repo_name": "dooma/Events",
"path": "events/repositories/person.py",
"copies": "1",
"size": "2520",
"license": "mit",
"hash": -5382964545277476000,
"line_mean": 24.18,
"line_max": 112,
"alpha_frac": 0.5252284466,
"autogenerated": false,
"ratio": 4.423550087873462,
"config_test": false,
"has... |
__author__ = 'Călin Sălăgean'
from events.repositories.event import EventRepository
from events.repositories.person import PersonRepository
from datetime import datetime
class PersonEvent():
def __init__(self, person_id = None, event_id = None, date = None):
'''
PersonEvent constructor
:pa... | {
"repo_name": "dooma/Events",
"path": "events/models/person_event.py",
"copies": "1",
"size": "2731",
"license": "mit",
"hash": -7596357108319026000,
"line_mean": 26.5656565657,
"line_max": 82,
"alpha_frac": 0.5450879765,
"autogenerated": false,
"ratio": 4.302839116719243,
"config_test": false,... |
__author__ = 'Călin Sălăgean'
from events.repositories.person_event import PersonEvent, PersonEventRepository
from events.repositories.person import PersonRepository
from events.repositories.event import EventRepository
from events.models.person_event import PersonEvent
import re
class PersonController():
def __i... | {
"repo_name": "dooma/Events",
"path": "events/controllers/person.py",
"copies": "1",
"size": "7945",
"license": "mit",
"hash": -2761423835787932000,
"line_mean": 27.1666666667,
"line_max": 120,
"alpha_frac": 0.5333669101,
"autogenerated": false,
"ratio": 4.318651441000544,
"config_test": false,... |
__author__ = 'Călin Sălăgean'
from utils.IO import IO
from events.models.event import Event
class EventRepository():
def __init__(self, filename = 'event.json'):
'''
EventRepository class constructor
:param filename: Default value 'event.json'
:return:
'''
self.__d... | {
"repo_name": "dooma/Events",
"path": "events/repositories/event.py",
"copies": "1",
"size": "2655",
"license": "mit",
"hash": -5491324509669188000,
"line_mean": 25.0098039216,
"line_max": 93,
"alpha_frac": 0.5214932127,
"autogenerated": false,
"ratio": 4.47972972972973,
"config_test": false,
... |
__author__ = 'Călin Sălăgean'
from utils.IO import IO
from events.models.person_event import PersonEvent
class PersonEventRepository():
def __init__(self, filename = None):
self.__defaultfile = filename or 'person_event.json'
def insert(self, person_event):
operation = IO(self.__defaultfile)
... | {
"repo_name": "dooma/Events",
"path": "events/repositories/person_event.py",
"copies": "1",
"size": "1682",
"license": "mit",
"hash": 2032470505474927000,
"line_mean": 34.7446808511,
"line_max": 120,
"alpha_frac": 0.5979749851,
"autogenerated": false,
"ratio": 3.9786729857819907,
"config_test":... |
__author__ = 'Călin Sălăgean'
import os, json
class IO():
def __init__(self, filename = None):
'''
IO Constructor
:param filename: Default None
:return: object
'''
self.validate(filename)
self.__filename = filename
def get(self):
'''
Re... | {
"repo_name": "dooma/Events",
"path": "utils/IO.py",
"copies": "1",
"size": "2023",
"license": "mit",
"hash": -5437359181193553000,
"line_mean": 28.2898550725,
"line_max": 90,
"alpha_frac": 0.5658415842,
"autogenerated": false,
"ratio": 4.478935698447893,
"config_test": false,
"has_no_keyword... |
__author__ = 'Călin Sălăgean'
import unittest
from events.models.event import Event
class TestEvent(unittest.TestCase):
def test_initialization(self):
event = Event('14/01/2015', '14:00', 'Colectiv')
self.assertIsInstance(event, Event)
def test_date_input_validation(self):
with self.a... | {
"repo_name": "dooma/Events",
"path": "spec/models/test_event.py",
"copies": "1",
"size": "1213",
"license": "mit",
"hash": 4103978191900530000,
"line_mean": 38.064516129,
"line_max": 87,
"alpha_frac": 0.652892562,
"autogenerated": false,
"ratio": 3.5798816568047336,
"config_test": true,
"has... |
__author__ = 'Călin Sălăgean'
import unittest
from events.models.person_event import PersonEvent
class TestPersonEvent(unittest.TestCase):
def test_instance(self):
with self.assertRaises(ValueError):
person_event = PersonEvent(1, 2)
self.assertIsInstance(person_event, PersonEvent)
... | {
"repo_name": "dooma/Events",
"path": "spec/models/test_person_event.py",
"copies": "1",
"size": "1239",
"license": "mit",
"hash": -7105311679982183000,
"line_mean": 32.4324324324,
"line_max": 89,
"alpha_frac": 0.6618122977,
"autogenerated": false,
"ratio": 4.012987012987013,
"config_test": tru... |
__author__ = 'Călin Sălăgean'
import unittest, os
from utils.IO import IO
from events.repositories.event import EventRepository
from events.models.event import Event
class TestEventRepository(unittest.TestCase):
def test_insert(self):
io = IO('test.json')
io.set([])
event = Event('14/01/2... | {
"repo_name": "dooma/Events",
"path": "spec/repositories/test_event.py",
"copies": "1",
"size": "4099",
"license": "mit",
"hash": -3537187086741714000,
"line_mean": 30.2748091603,
"line_max": 76,
"alpha_frac": 0.5842285156,
"autogenerated": false,
"ratio": 3.34094616639478,
"config_test": true,... |
__author__ = "cuongnb14@gmail.com"
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy import Column, Integer, String, Float
from sqlalchemy.orm import relationship, backref
from sqlalchemy import ForeignKey
Base = declarative_base()
class WebApp(Base):
"""Mapping with table apps"""
__tab... | {
"repo_name": "cuongnb14/autoscaling-paas",
"path": "project/autoscaling/autoscaling/model.py",
"copies": "1",
"size": "1175",
"license": "mit",
"hash": 3092280253413701600,
"line_mean": 32.5714285714,
"line_max": 112,
"alpha_frac": 0.7004255319,
"autogenerated": false,
"ratio": 3.753993610223642... |
__author__ = 'cuongnb14@gmail.com'
import logging
class Scaler(object):
"""docstring for ClassName"""
def __init__(self, marathon_client, app):
self.logger = logging.getLogger("Scaler")
self.marathon_client = marathon_client
self.app = app
def scale(self, delta):
"""sacle ... | {
"repo_name": "cuongnb14/autoscaling-paas",
"path": "project/autoscaling/autoscaling/scaler.py",
"copies": "1",
"size": "1070",
"license": "mit",
"hash": 8568042082940434000,
"line_mean": 38.6296296296,
"line_max": 88,
"alpha_frac": 0.6224299065,
"autogenerated": false,
"ratio": 3.715277777777777... |
class dstat_plugin(dstat):
"""
EVENTS COMMENT.
"""
def __init__(self):
self.name = 'latency'
self.type = 'p'
self.width = 4
self.scale = 34
def vars(self):
ret = []
for name in glob.glob('/tmp/dstat/sla/client[0-9]*'):
ret.append(os.path... | {
"repo_name": "barzan/dbseer",
"path": "middleware_old/dstat_for_server/plugins/dstat_client_latency.py",
"copies": "4",
"size": "1026",
"license": "apache-2.0",
"hash": -3124171144379731500,
"line_mean": 24.65,
"line_max": 96,
"alpha_frac": 0.5019493177,
"autogenerated": false,
"ratio": 3.320388... |
#pads with spaces and returns string,so it can be divided exactly by a certain amount
def sim_pad(MESSAGE, PAD_TO_MULT):
MESSAGE = MESSAGE + "1"
pad = (((len(MESSAGE)/PAD_TO_MULT)+1)*PAD_TO_MULT)-len(MESSAGE)
for i in range(pad):
MESSAGE = MESSAGE + " "
return MESSAGE
#pads a string ... | {
"repo_name": "Curiousteenager/simplepad",
"path": "simplepad.py",
"copies": "1",
"size": "1915",
"license": "mit",
"hash": -2354845574991672000,
"line_mean": 35.5490196078,
"line_max": 134,
"alpha_frac": 0.6804177546,
"autogenerated": false,
"ratio": 3.0837359098228663,
"config_test": false,
... |
__author__ = 'Curtis Mackay'
pe_index = 0;
import itertools
class PE(object):
"""
Data structure for storing PE dependency data
"""
newid = itertools.count().__next__
def __init__(self, operation, pe_inputs, pe_outputs, pe_id=None):
self.operation = operation
self.pe_inputs = pe_i... | {
"repo_name": "crnmrn/SPADE-ARCH",
"path": "compiler/dpda_compiler/parser/dependency_tracker.py",
"copies": "1",
"size": "1991",
"license": "bsd-3-clause",
"hash": 392705441356094300,
"line_mean": 31.6557377049,
"line_max": 79,
"alpha_frac": 0.5364138624,
"autogenerated": false,
"ratio": 3.555357... |
__author__ = 'cutylewiwi'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import re
class Group:
def __init__(self, name, faculties):
self.name = name
self.faculties = faculties
class GroupList:
def __init__(self, baseUrl):
self.baseUrl = baseUrl
self.grou... | {
"repo_name": "doge-search/webdoge",
"path": "wuyudong/UTA/UTA_research.py",
"copies": "1",
"size": "2593",
"license": "unlicense",
"hash": 7706575861810142000,
"line_mean": 30.012345679,
"line_max": 104,
"alpha_frac": 0.5106054763,
"autogenerated": false,
"ratio": 3.5963938973647713,
"config_t... |
__author__ = 'cutylewiwi'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import re
class Prof:
def __init__(self, name, photoUrl, pUrl, title, area, office, phone, email):
self.name = name
self.photoUrl = photoUrl
self.pUrl = pUrl
self.title = title
self.a... | {
"repo_name": "doge-search/webdoge",
"path": "wuyudong/KSU/KSU.py",
"copies": "1",
"size": "4385",
"license": "unlicense",
"hash": 9212551889555674000,
"line_mean": 38.2293577982,
"line_max": 190,
"alpha_frac": 0.5069555302,
"autogenerated": false,
"ratio": 3.404503105590062,
"config_test": fal... |
__author__ = 'cutylewiwi'
# -*- coding:utf-8 -*-
import urllib
import urllib2
import re
class Prof:
def __init__(self, name, photoUrl, pUrl, title, area, office):
self.name = name
self.photoUrl = photoUrl
self.pUrl = pUrl
self.title = title
self.area = area
... | {
"repo_name": "doge-search/webdoge",
"path": "wuyudong/UTK/UTK.py",
"copies": "1",
"size": "2980",
"license": "unlicense",
"hash": -5998241134554957000,
"line_mean": 31.4831460674,
"line_max": 102,
"alpha_frac": 0.4946308725,
"autogenerated": false,
"ratio": 3.401826484018265,
"config_test": fa... |
__author__ = 'cvdsouza'
#Developed at : SEFCOM Labs by JJ SEO and Clinton Dsouza
from bluetooth import *
import threading
class MyThread (threading.Thread):
def __init__ (self, socket):
self.socket = socket
threading.Thread.__init__(self)
def run (self):
try:
str = raw_input('Enter your input:')
self.so... | {
"repo_name": "jtromo/ASU-Thesis-RaspberryPiSmartKey",
"path": "RaspberryPiSmartKey/.sync/Archive/PyBlueServer.py",
"copies": "1",
"size": "1412",
"license": "apache-2.0",
"hash": 2074202821976899000,
"line_mean": 23.7719298246,
"line_max": 92,
"alpha_frac": 0.652266289,
"autogenerated": false,
"... |
__author__ = 'cvl'
def numberic_system(base_system):
result = {}
for csc_n in base_system:
result[csc_n] = base_system.find(csc_n)
return result
class CSC(object):
system = {}
def __init__(self, alphabet):
self.system = numberic_system(alphabet)
def csc(self, sym):
... | {
"repo_name": "cludtk/freedomain",
"path": "csc.py",
"copies": "1",
"size": "1394",
"license": "mit",
"hash": 4554861451716396000,
"line_mean": 26.3333333333,
"line_max": 81,
"alpha_frac": 0.449784792,
"autogenerated": false,
"ratio": 3.7074468085106385,
"config_test": false,
"has_no_keywords... |
__author__ = 'cwhelan'
# converts sam format to modil format
# only works on data from one chromsome for now, so please split first!
import sys
current_read_id = "NA"
read1_alignments = {}
read2_alignments = {}
def print_reads(read1_alignments, read2_alignments):
for p1 in read1_alignments:
for p2 in re... | {
"repo_name": "cwhelan/cloudbreak",
"path": "src/main/scripts/nameSortedSamToMODIL.py",
"copies": "1",
"size": "1992",
"license": "mit",
"hash": -2189905813125169000,
"line_mean": 36.5849056604,
"line_max": 165,
"alpha_frac": 0.546184739,
"autogenerated": false,
"ratio": 3.393526405451448,
"con... |
__author__ = 'CwT'
from AbstractAnalysis import AbstractFlowAnalysis
class GlobalAnalysis(AbstractFlowAnalysis):
def __init__(self):
self._globalvars = {}
AbstractFlowAnalysis.__init__(self)
@property
def GlobalSet(self):
return self._globalvars
def flowTransfer(self, block):
... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/GlobalAnalysis.py",
"copies": "1",
"size": "1063",
"license": "mit",
"hash": 741299972539474000,
"line_mean": 31.2121212121,
"line_max": 63,
"alpha_frac": 0.5305738476,
"autogenerated": false,
"ratio": 4.621739130434783,
"config_test": false,
... |
__author__ = 'CwT'
from DexParse import *
array = [0x32, 0xa, # if-eq v0, v0, 8
0x26, 0x3, 0x0, # fill-array-data v0, 3
0x0300, 0x2, 0x1, 0x0, 0x0 # fill-array-data-payload 0x0300, width, size, data[]
]
array2 = [0x32, 0xd, # if-eq v0, v0, 8
0x1023, 0x06d7, # new-array v... | {
"repo_name": "CvvT/DexParse",
"path": "AddJunk.py",
"copies": "2",
"size": "1572",
"license": "apache-2.0",
"hash": 1338007297107412500,
"line_mean": 36.4285714286,
"line_max": 92,
"alpha_frac": 0.6164122137,
"autogenerated": false,
"ratio": 2.673469387755102,
"config_test": false,
"has_no_k... |
__author__ = 'CwT'
from ForwardFlowAnalysis import ForwardFlowAnalysis
class SSAliasAnalysis(ForwardFlowAnalysis):
def __init__(self):
self._AliasSetBefore = {}
self._AliasSetAfter = {}
ForwardFlowAnalysis.__init__(self)
def flowTransfer(self, block):
set = self.getAliasSet(blo... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/AliasAnalysis.py",
"copies": "1",
"size": "3222",
"license": "mit",
"hash": 1238581724217521700,
"line_mean": 36.4651162791,
"line_max": 92,
"alpha_frac": 0.5301055245,
"autogenerated": false,
"ratio": 3.900726392251816,
"config_test": false,
... |
__author__ = 'CwT'
from ForwardFlowAnalysis import ForwardFlowAnalysis
class SSAliasAnalysis(ForwardFlowAnalysis):
def __init__(self):
self._AliasSet = dict({'Must': [], 'May': []})
ForwardFlowAnalysis.__init__(self)
@property
def AliasSet(self):
return self._AliasSet
def flo... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/SSAliasAnalysis.py",
"copies": "1",
"size": "2103",
"license": "mit",
"hash": -6958093383351475000,
"line_mean": 31.3538461538,
"line_max": 92,
"alpha_frac": 0.504041845,
"autogenerated": false,
"ratio": 3.938202247191011,
"config_test": false,
... |
__author__ = 'CwT'
from ForwardFlowAnalysis import ForwardFlowAnalysis
class SSALiteralAnalysis(ForwardFlowAnalysis):
def __init__(self):
self._LiteralSet = {}
ForwardFlowAnalysis.__init__(self)
@property
def varMaps(self):
return self._LiteralSet
def flowTransfer(self, block)... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/SSALiteralAnalysis.py",
"copies": "1",
"size": "1081",
"license": "mit",
"hash": 6381821593756199000,
"line_mean": 26.7179487179,
"line_max": 55,
"alpha_frac": 0.5689176688,
"autogenerated": false,
"ratio": 4.466942148760331,
"config_test": fals... |
__author__ = 'CwT'
from Model import Node
import Queue
class InterProcTaintAnalysis(object):
def __init__(self):
self._graph = None
self._FuncExist = {}
self._FuncParams = {}
self._SrcNodes = []
self._TargetNodes = []
self._Counter = 0
# Tainted Src Op and Va... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/cfl/InterProcTaintAnalysis.py",
"copies": "1",
"size": "9996",
"license": "mit",
"hash": -9168881039073787000,
"line_mean": 42.0862068966,
"line_max": 161,
"alpha_frac": 0.5269107643,
"autogenerated": false,
"ratio": 4.166736140058358,
"config_t... |
__author__ = 'CwT'
from type.Type import Literal, Normal
from type.Type import Array as TArray
class Graph(object):
def __init__(self, data):
self._func = {}
for key, value in data.items():
self._func[key] = Function(key, value)
@property
def Entry(self):
return self._f... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/Graph.py",
"copies": "1",
"size": "5159",
"license": "mit",
"hash": 7992706562260699000,
"line_mean": 27.5027624309,
"line_max": 100,
"alpha_frac": 0.5406086451,
"autogenerated": false,
"ratio": 4.021044427123928,
"config_test": false,
"has_no... |
__author__ = 'CwT'
import struct
import Util
class OATHdr:
def __init__(self):
self.offset = 0
self.magic = []
self.version = []
self.checksum = 0
self.dexfileCount = 0
self.size = 0
self.keyvalueSize = 0
def readfd(self, file, offset):
self.offs... | {
"repo_name": "CvvT/ElfParse",
"path": "OatParse.py",
"copies": "1",
"size": "1908",
"license": "apache-2.0",
"hash": -2010881188756968000,
"line_mean": 27.4776119403,
"line_max": 82,
"alpha_frac": 0.5780922432,
"autogenerated": false,
"ratio": 3.359154929577465,
"config_test": false,
"has_no... |
__author__ = 'CwT'
import struct
def elf_hash(funcname):
h = 0
for x in funcname:
h = (h << 4) + ord(x)
g = h & 0xf0000000
h ^= g
h ^= g >> 24
print()
return h
class Ehdr:
def __init__(self):
self.ident = []
self.type = 0 # 0: unknow; 1: relocation... | {
"repo_name": "List3nt0/ElfParse",
"path": "ElfParse.py",
"copies": "3",
"size": "14115",
"license": "apache-2.0",
"hash": -185202154555888580,
"line_mean": 31.299771167,
"line_max": 101,
"alpha_frac": 0.5307828551,
"autogenerated": false,
"ratio": 3.3345145287030475,
"config_test": false,
"h... |
__author__ = 'CwT'
class CFLGraph(object):
def __init__(self, SuperGraph):
self._supGraph = SuperGraph
self._nodes = {}
@property
def Entry(self):
return self._supGraph.Entry
@property
def subgraphs(self):
return self._supGraph.functions
@property
def AllN... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/cfl/Model.py",
"copies": "1",
"size": "3639",
"license": "mit",
"hash": 5028505321046524000,
"line_mean": 25.3695652174,
"line_max": 87,
"alpha_frac": 0.5504259412,
"autogenerated": false,
"ratio": 3.95114006514658,
"config_test": false,
"has_... |
__author__ = 'CwT'
from DexParse import *
if __name__ == '__main__':
dexfile = DexFile("classes.dex")
# @Params: classname, acces_flag(public, private...), parent_class_name, Filename
classitem = dexfile.addclass("Lcom/cc/test/DexParse;", Access_Flag["public"],
"Ljava/lang/Object;", "DexParse.java")
... | {
"repo_name": "peterdocter/DexParse",
"path": "AddClass.py",
"copies": "2",
"size": "1874",
"license": "apache-2.0",
"hash": -1306748393954928400,
"line_mean": 42.5813953488,
"line_max": 94,
"alpha_frac": 0.6531483458,
"autogenerated": false,
"ratio": 3.1077943615257047,
"config_test": false,
... |
__author__ = 'CwT'
from ElfParse import *
if __name__ == '__main__':
file = open("libbaiduprotect.so", 'r+b')
file.seek(0)
elfheader = Ehdr()
elfheader.readfromfd(file)
elfheader.init_table()
addr = elfheader.shtable.findsection(".text").offset
if addr == -1:
print("find section .t... | {
"repo_name": "List3nt0/ElfParse",
"path": "Encrypt.py",
"copies": "3",
"size": "1065",
"license": "apache-2.0",
"hash": -5129427311128843000,
"line_mean": 34.5,
"line_max": 111,
"alpha_frac": 0.5962441315,
"autogenerated": false,
"ratio": 2.974860335195531,
"config_test": false,
"has_no_keyw... |
__author__ = 'CwT'
from idaapi import *
from idautils import *
from idc import *
import re
def getDword(addr):
return Dword(addr)
def getByte(addr):
return Byte(addr)
def getWord(addr):
return Word(addr)
class DexorJar:
def __init__(self):
self.pfileName = 0
self.isDex = 0
s... | {
"repo_name": "CvvT/dumpDex",
"path": "findcookie.py",
"copies": "1",
"size": "4305",
"license": "apache-2.0",
"hash": 5947876427478314000,
"line_mean": 27.3223684211,
"line_max": 88,
"alpha_frac": 0.5479674797,
"autogenerated": false,
"ratio": 3.2055100521221145,
"config_test": false,
"has_n... |
__author__ = 'CwT'
from idaapi import *
from idautils import *
from idc import *
import struct
import os
import hashlib
Access_Flag = {'public': 1, 'private': 2, 'protected': 4, 'static': 8, 'final': 0x10,
'synchronized': 0x20, 'volatile': 0x40, 'bridge': 0x40, 'transient': 0x80,
'vararg... | {
"repo_name": "keulraesik/dumpDex",
"path": "dump.py",
"copies": "5",
"size": "76543",
"license": "apache-2.0",
"hash": 968704851888276900,
"line_mean": 34.5683085502,
"line_max": 206,
"alpha_frac": 0.551859739,
"autogenerated": false,
"ratio": 3.5134031029101256,
"config_test": false,
"has_n... |
__author__ = 'CwT'
from idaapi import *
from idautils import *
from idc import *
import struct
global baseAddr
def writefile(file, addr, len):
for i in range(len):
one = getByte(addr+i)
file.write(struct.pack("B", one))
def getDword(addr):
return Dword(addr)
def getByte(addr):
return By... | {
"repo_name": "CvvT/dumpDex",
"path": "lookup.py",
"copies": "1",
"size": "23228",
"license": "apache-2.0",
"hash": 9203349476013620000,
"line_mean": 32.3256814921,
"line_max": 98,
"alpha_frac": 0.562166351,
"autogenerated": false,
"ratio": 3.4824587706146928,
"config_test": false,
"has_no_ke... |
__author__ = 'CwT'
import Queue
class FlowAnalysis(object):
def __init__(self):
self.GenSet = {}
self.KillSet = {}
self._graph = None
def doAnalysis(self, directGraph):
self._graph = directGraph
numofcomputation = 0
queue = Queue.Queue()
# queue.put(di... | {
"repo_name": "Panalyzer/Panalyzer",
"path": "src/FlowAnalysis.py",
"copies": "1",
"size": "1554",
"license": "mit",
"hash": -274345365934147400,
"line_mean": 25.8103448276,
"line_max": 73,
"alpha_frac": 0.5566280566,
"autogenerated": false,
"ratio": 4.304709141274238,
"config_test": false,
"... |
__author__ = 'CwT'
OPCODE = {0: "nop", 1: "move", 2: "move/from16", 5: "move-wide/from16", 7: "move-object", 8: "move-object/from16",
0xa: "move-result", 0xb: "move-result-wide", 0xc: "move-result-object", 0xd: "move-exception",
0xe: "return-void", 0xf: "return", 0x10: "return-wide", 0x11: "return-... | {
"repo_name": "CvvT/DexParse",
"path": "Instruction.py",
"copies": "2",
"size": "11175",
"license": "apache-2.0",
"hash": -876353120084651600,
"line_mean": 54.5970149254,
"line_max": 132,
"alpha_frac": 0.5356599553,
"autogenerated": false,
"ratio": 2.753141167775314,
"config_test": false,
"ha... |
__author__ = 'cyankw'
import re
import urllib.request
from multiprocessing import Pool
import time
strtime = time.clock() #计时器启动
def getHtml (url): #用于读取网页源代码
page = urllib.request.urlopen(url)
html = page.read()
return html
global year
global keywd
def getCVE(html): #对读取的网页源代码使用正则表达式进行筛... | {
"repo_name": "cyankw/Python-Crawler-Practice-01-Vulnerabilities-Detector",
"path": "Vulnerabilities Detector.py",
"copies": "1",
"size": "3089",
"license": "apache-2.0",
"hash": 4426454802812552000,
"line_mean": 27.8988764045,
"line_max": 128,
"alpha_frac": 0.5302745393,
"autogenerated": false,
... |
__author__ = 'cyhis'
from suds.client import Client
from suds import WebFault
from model.project import Project
class SoapHelper:
def __init__(self, app):
self.app = app
self.username = self.app.config['webadmin']['username']
self.password = self.app.config['webadmin']['password']
def... | {
"repo_name": "galaktika81/python_training_mantis",
"path": "fixture/soap.py",
"copies": "1",
"size": "1991",
"license": "apache-2.0",
"hash": -2530711195864215000,
"line_mean": 34.5714285714,
"line_max": 103,
"alpha_frac": 0.611752888,
"autogenerated": false,
"ratio": 4.08829568788501,
"config... |
__author__ = 'cyrbuzz'
from base import (ScrollArea, QLabel, QFrame, QVBoxLayout, QPushButton, QHBoxLayout, QTableWidget,
QAbstractItemView)
class DownloadFrame(ScrollArea):
def __init__(self, parent=None):
super().__init__()
self.parent = parent
self.setObjectName('dow... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/widgets/downloadFrame.py",
"copies": "1",
"size": "2503",
"license": "mit",
"hash": 7190364056942079000,
"line_mean": 36.2727272727,
"line_max": 98,
"alpha_frac": 0.6823912159,
"autogenerated": false,
"ratio": 3.548340548340548,
"confi... |
__author__ = 'cyrbuzz'
import addition
from base import QObject, QTableWidgetItem
transTime = addition.itv2time
class ConfigRecommendFrame(QObject):
def __init__(self, parent):
super().__init__()
self.recommendFrame = parent
self.musicList = []
self.bindConnect()
def se... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/features/configRecommendFrameFeatures.py",
"copies": "1",
"size": "1143",
"license": "mit",
"hash": 2782863357357006300,
"line_mean": 29.8918918919,
"line_max": 105,
"alpha_frac": 0.7034120735,
"autogenerated": false,
"ratio": 3.74754098... |
__author__ = 'cyrbuzz'
import os
import glob
import pickle
import os.path
try:
import eyed3
except ImportError:
print('eyed3没有成功加载或安装，请不要使用本地音乐功能！')
from base import QFileDialog, QObject, QTableWidgetItem, checkFolder
from addition import itv2time
def getAllFolder(topFolder):
result = []
def findF... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/features/configNativeFeatures.py",
"copies": "1",
"size": "3832",
"license": "mit",
"hash": 8029725500049695000,
"line_mean": 29.0158730159,
"line_max": 127,
"alpha_frac": 0.5446853517,
"autogenerated": false,
"ratio": 4.002116402116402,... |
__author__ = 'cyrbuzz'
import os
import re
import glob
import pickle
import os.path
import logging
try:
import eyed3
except ImportError:
print('eyed3没有成功加载或安装，当再次打开时下载的音乐会加载不到！')
from apiRequestsBase import HttpRequest
from asyncBase import aAsync, toTask
from base import QFileDialog, QObject, QTableWidgetIte... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/features/configDownloadFrameFeatures.py",
"copies": "1",
"size": "7055",
"license": "mit",
"hash": -2431072981149056500,
"line_mean": 31.75,
"line_max": 127,
"alpha_frac": 0.6148876817,
"autogenerated": false,
"ratio": 3.5979926043317487... |
__author__ = 'cyrbuzz'
"""
提供用于将函数包装成异步的基本功能。
"""
import asyncio
def aAsync(func, *args, **kwargs):
"""
future 用于将任意函数包装成一个awaitable对象。
例：
future = aAsync(requests.get, 'http://www.xxx.com', headers=headers)
data = yield from future
"""
# run_in_evecutor不支持**kwargs.
# args是个元组，kw... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/features/asyncBase.py",
"copies": "1",
"size": "2150",
"license": "mit",
"hash": 4915872713588908000,
"line_mean": 19.6333333333,
"line_max": 80,
"alpha_frac": 0.5350215517,
"autogenerated": false,
"ratio": 2.662840746054519,
"config_t... |
__author__ = 'cyrbuzz'
"""制作登陆区盒子。"""
from base import QDialog, QFrame, HBoxLayout, HStretchBox, QLabel, QLineEdit, QPushButton, Qt, VBoxLayout, RequestThread
class InputLine(QLineEdit):
def __init__(self, parent=None, width=0, height=0, placeholderText=None):
super(QLineEdit, self).__init__()
s... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/widgets/loginFrames.py",
"copies": "1",
"size": "5711",
"license": "mit",
"hash": 4464577960630639600,
"line_mean": 27.1055276382,
"line_max": 120,
"alpha_frac": 0.6348354793,
"autogenerated": false,
"ratio": 3.840659340659341,
"config... |
__author__ = 'cyrbuzz'
# 方便扩展，抽象成基类。
from base import (QCursor, QFrame, Qt, QTabWidget, QTextEdit, QLabel, QIcon, QPushButton, QHBoxLayout, QVBoxLayout,
QGridLayout, QTableWidgetItem, PicLabel, ScrollArea, TableWidget, VBoxLayout, HBoxLayout, pyqtSignal)
import addition
class S... | {
"repo_name": "HuberTRoy/MusicPlayer",
"path": "MusicPlayer/widgets/singsFrameBase.py",
"copies": "1",
"size": "8770",
"license": "mit",
"hash": 4592259841820868600,
"line_mean": 31.6117647059,
"line_max": 138,
"alpha_frac": 0.6465848966,
"autogenerated": false,
"ratio": 3.2895569620253164,
"co... |
__author__ = 'cyrfer'
# epic pyparsing help provided by Paul McGuire
# http://pyparsing.wikispaces.com/share/view/68890534
from ogre_parse.basereader import *
from ogre_parse.submodel import *
class ReadTextureUnit(ReadBase):
def __init__(self):
# TODO: need to separate the required member options
... | {
"repo_name": "cyrfer/ogre_parse",
"path": "ogre_parse/subreader.py",
"copies": "1",
"size": "16636",
"license": "mit",
"hash": 5522130532067399000,
"line_mean": 52.8381877023,
"line_max": 229,
"alpha_frac": 0.5770016831,
"autogenerated": false,
"ratio": 4.018357487922706,
"config_test": false,... |
__author__ = 'cyrfer'
import array
import math
import copy
def float_eq(a, b, epsilon=1e-7):
# print('float_eq: type(a)=%s, type(b)=%s' % (type(a), type(b)))
# print('float_eq(%s, %s)' % (a,b))
diff_val = math.fabs(a - b)
# print('float_eq: diff_val = %s' % diff_val)
return diff_val < epsilon
... | {
"repo_name": "cyrfer/ogre_parse",
"path": "ogre_parse/basemodel.py",
"copies": "1",
"size": "2448",
"license": "mit",
"hash": -4869784341842968000,
"line_mean": 28.1428571429,
"line_max": 90,
"alpha_frac": 0.5310457516,
"autogenerated": false,
"ratio": 3.4094707520891365,
"config_test": false,... |
__author__ = 'cyrfer'
# from pyparsing import Optional, Word, Literal, Keyword, Forward, alphas, nums, alphanums, \
# Group, ZeroOrMore, OneOrMore, oneOf, delimitedList, cStyleComment, restOfLine, LineEnd, \
# cppStyleComment, Combine, Dict, dictOf, Regex, Suppress
from pyparsing import *
# import ogre_pars... | {
"repo_name": "cyrfer/ogre_parse",
"path": "ogre_parse/basereader.py",
"copies": "1",
"size": "3633",
"license": "mit",
"hash": 4363126430530298000,
"line_mean": 32.6388888889,
"line_max": 169,
"alpha_frac": 0.6710707404,
"autogenerated": false,
"ratio": 2.8316445830085737,
"config_test": false... |
__author__ = 'cyrfer'
# This file defines 'readers' for the major classes of OGRE objects, including:
# - materials
# - shader declarations
# - compositors
# OGRE permits putting any of the major classes into any of the OGRE resource file types, including:
# - .material
# - .program
# - .compositor
# Because any scr... | {
"repo_name": "cyrfer/ogre_parse",
"path": "ogre_parse/reader.py",
"copies": "1",
"size": "5640",
"license": "mit",
"hash": -7213373833509549000,
"line_mean": 41.0895522388,
"line_max": 148,
"alpha_frac": 0.5764184397,
"autogenerated": false,
"ratio": 4.28246013667426,
"config_test": false,
"... |
__author__ = 'Cyril de Vogelaere : 2814-11-00 & Thuin florian : 0656-11-00'
import time
import sys
from copy import deepcopy
from os import listdir, system
from search import *
# LEFT RIGHT UP DOWN
directions = [[0, -1], [0, 1], [-1, 0], [1, 0]]
global listOfGoalPos
###############
# My function #
###############
d... | {
"repo_name": "fthuin/artificial-intelligence",
"path": "assignment2/Code/Sokoban.py",
"copies": "1",
"size": "8588",
"license": "mit",
"hash": 7897304180310724000,
"line_mean": 32.8149606299,
"line_max": 198,
"alpha_frac": 0.5895435491,
"autogenerated": false,
"ratio": 3.286643704554152,
"conf... |
__author__ = 'czervenka'
"""
Simple database app settings
BASIC USE
---------
from models.config import settings
version = settings['version'] # read settings
settings['version'] = '1' # stores settings
INITIALIZATION
--------------
from models.config import settings
settings['version'] = '1'
... | {
"repo_name": "xaralis/gap-sandbox",
"path": "src/app/settings.py",
"copies": "1",
"size": "2302",
"license": "apache-2.0",
"hash": 2730642240078861000,
"line_mean": 24.0217391304,
"line_max": 70,
"alpha_frac": 0.6068635969,
"autogenerated": false,
"ratio": 4.074336283185841,
"config_test": fal... |
__author__ = 'czhuang'
import os
import cPickle as pickle
import numpy as np
def is_valid_latin_square(grid):
n_row, n_col = grid.shape
assert n_row % n_col == 0
quotient = n_row / n_col
sum_of_elements = np.sum(np.arange(n_col))
sum_of_col_wanted = quotient * sum_of_elements
sum_of_cols = ... | {
"repo_name": "czhuang/ChordRipple",
"path": "app/latin_squares_experiment_tools.py",
"copies": "1",
"size": "2219",
"license": "mit",
"hash": -5078612588845626000,
"line_mean": 27.0886075949,
"line_max": 79,
"alpha_frac": 0.6349707075,
"autogenerated": false,
"ratio": 3.5110759493670884,
"conf... |
__author__ = 'cz'
import os
import math
from vmb_db.conn import get_one
from flask import request, redirect, url_for, flash, current_app, abort, render_template
from flask.ext.login import login_required, current_user
from werkzeug import secure_filename
from vmb_db.contact_info import get_contact, get_contact_by_cas... | {
"repo_name": "cindy-zimmerman/vmb-mrest",
"path": "flask_mrest/actions/invoice.py",
"copies": "1",
"size": "2217",
"license": "mit",
"hash": 6363787196036341000,
"line_mean": 40.0555555556,
"line_max": 116,
"alpha_frac": 0.6580965268,
"autogenerated": false,
"ratio": 3.4803767660910516,
"confi... |
__author__ = 'cz'
from flask import request, redirect, url_for, flash, current_app, abort, render_template
from flask.ext.login import login_required, current_user
from vmb_db.contact_info import get_contact, get_contact_by_casillero, set_contact_by_casillero, iter_pages
from vmb_db.invoice_info import get_invoice_lis... | {
"repo_name": "cindy-zimmerman/vmb-mrest",
"path": "flask_mrest/actions/client.py",
"copies": "1",
"size": "5538",
"license": "mit",
"hash": -1712777589072555300,
"line_mean": 45.15,
"line_max": 112,
"alpha_frac": 0.5545323221,
"autogenerated": false,
"ratio": 3.496212121212121,
"config_test": ... |
from ps2_1 import evaluate_poly
from ps2_2 import compute_deriv
def compute_root(poly, x_0, epsilon):
""" Uses Newton's Method to find and return a root of polynomial function.
Returns a tuple containing the root and the number of iterations required to
get the root.
Example:
>>> poly = (-13.39, 0.0, 17.5, 3.... | {
"repo_name": "MarcusHolloway/6.00SC",
"path": "ps2_3.py",
"copies": "1",
"size": "1241",
"license": "mit",
"hash": -3367153847151883000,
"line_mean": 30.025,
"line_max": 85,
"alpha_frac": 0.6518936342,
"autogenerated": false,
"ratio": 2.7334801762114536,
"config_test": false,
"has_no_keyword... |
import random
import string
WORD_LIST = "words.txt"
def load_words():
""" Returns a list of valid words. Words are string of lowercase letters.
Depending on the size of the word list, this function may take a while to finish. """
print "Loading word list from file..."
fin = open(WORD_L... | {
"repo_name": "MarcusHolloway/6.00SC",
"path": "ps2_4.py",
"copies": "1",
"size": "2507",
"license": "mit",
"hash": 7463818048138955000,
"line_mean": 33.3098591549,
"line_max": 106,
"alpha_frac": 0.5791783008,
"autogenerated": false,
"ratio": 3.5916905444126073,
"config_test": false,
"has_no_... |
def cal_credit_balance():
outstanding_balance = float(raw_input('Enter the outstanding balance on your credit card:'))
annual_interest_rate = float(raw_input('Enter the annual credit card interest rate as decimal:'))
min_monthly_payment_rate = float(raw_input('Enter the minimum monthly payment rate as ... | {
"repo_name": "MarcusHolloway/6.00SC",
"path": "ps_1a.py",
"copies": "1",
"size": "1386",
"license": "mit",
"hash": 2886143291776234500,
"line_mean": 38.7647058824,
"line_max": 101,
"alpha_frac": 0.63997114,
"autogenerated": false,
"ratio": 3.860724233983287,
"config_test": false,
"has_no_key... |
def cal_min_fixed_monthly_payment():
outstanding_balance = float(raw_input('Enter the outstanding balance on your credit card:'))
annual_interest_rate = float(raw_input('Enter the annual credit card interest rate as decimal:'))
monthly_interest_rate = annual_interest_rate / 12.0
updated_balance ... | {
"repo_name": "MarcusHolloway/6.00SC",
"path": "ps_1b.py",
"copies": "1",
"size": "1089",
"license": "mit",
"hash": 35078077625912436,
"line_mean": 35.5517241379,
"line_max": 101,
"alpha_frac": 0.6271808999,
"autogenerated": false,
"ratio": 3.7294520547945207,
"config_test": false,
"has_no_ke... |
def cal_min_payment():
outstanding_balance = float(raw_input('Enter the outstanding balance on your credit card:'))
annual_interest_rate = float(raw_input('Enter the annual credit card interest rate as decimal:'))
monthly_interest_rate = annual_interest_rate / 12.0
# New variables
e... | {
"repo_name": "MarcusHolloway/6.00SC",
"path": "ps_1c.py",
"copies": "1",
"size": "1650",
"license": "mit",
"hash": 9053954728276165000,
"line_mean": 37.2857142857,
"line_max": 101,
"alpha_frac": 0.6212121212,
"autogenerated": false,
"ratio": 3.793103448275862,
"config_test": false,
"has_no_k... |
__author__ = 'Daan Debie'
from abc import ABCMeta
from abc import abstractmethod
from datetime import datetime
def datetime_from_http_datestring(datestring):
"""
Converts a datestring as present in HTTP headers to a python datetime object
"""
return datetime.strptime(datestring, '%a, %d %b %Y %H:%M:%... | {
"repo_name": "davidsogn/PyPlaylist",
"path": "playlist/cache.py",
"copies": "1",
"size": "2047",
"license": "apache-2.0",
"hash": 2729936508778319000,
"line_mean": 23.6746987952,
"line_max": 107,
"alpha_frac": 0.6145578896,
"autogenerated": false,
"ratio": 4.0216110019646365,
"config_test": fa... |
__author__ = 'Daan Debie'
from threading import Thread
from Queue import Queue
from generator import PlaylistGenerator
class PLGeneratorThread(Thread):
"""
Class that provides threaded playlist generation. It takes one sentence off a queue and
processes them. Results are stored in the Thread object itsel... | {
"repo_name": "davidsogn/PyPlaylist",
"path": "playlist/plthreading.py",
"copies": "1",
"size": "2454",
"license": "apache-2.0",
"hash": 4595702250171069400,
"line_mean": 39.2295081967,
"line_max": 118,
"alpha_frac": 0.7033414833,
"autogenerated": false,
"ratio": 4.312829525483304,
"config_test... |
__author__ = 'Daan Wierstra and Tom Schaul'
from itertools import chain
from scipy import zeros
from pybrain.structure.networks.feedforward import FeedForwardNetwork
from pybrain.structure.networks.recurrent import RecurrentNetwork
from pybrain.structure.modules.neuronlayer import NeuronLayer
from pybrain.structure.... | {
"repo_name": "jackru/pybrain",
"path": "pybrain/structure/networks/neurondecomposable.py",
"copies": "25",
"size": "4341",
"license": "bsd-3-clause",
"hash": -1961687884108220700,
"line_mean": 36.4224137931,
"line_max": 99,
"alpha_frac": 0.6178299931,
"autogenerated": false,
"ratio": 4.255882352... |
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