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import re
import copy
import time
import threading
import warnings
import numpy as np
from ..io.constants import FIFF
from ..io.meas_info import Info
from ..utils import logger
from ..externals.FieldTrip import Client as FtClient
def _buffer_recv_worker(ft_client):
"""Worker thread that constantl... | {
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__author__ = 'main'
from sqlalchemy import create_engine, Column, Integer, String, Enum, ForeignKey
from sqlalchemy.orm import scoped_session, sessionmaker, backref, relationship
from sqlalchemy.ext.declarative import declarative_base
from server.config import svrcfg
engine = create_engine(svrcfg['SQLALCHEMY_DATAB... | {
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"path": "server/models.py",
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__author__ = 'MaitreyaBuddha'
from .MFade import MFade
from .MScale import MScale
from .MCircularReveal import MCircularReveal
from MBase import *
import time
animation_thread = MAnimationThread()
animation_thread.start()
class MAnimator:
def animate(self):
"""
Initializing all the required va... | {
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__author__ = 'MaitreyaBuddha'
from PySide.QtCore import *
from PySide.QtGui import *
from MComponents.MShape import MShape
from MUtilities import MColors
class OuterRing(MShape):
def __init__(self):
MShape.__init__(self)
self.max_width = 16
self.max_height = 16
self.width = 16
... | {
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"path": "MComponents/MRadioButton.py",
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__author__ = 'MaitreyaBuddha'
from PySide.QtGui import *
from PySide.QtCore import *
from MComponents.MShape import MShape
from MUtilities import MColors
class MRippleShape(MShape):
def __init__(self):
MShape.__init__(self)
self.max_width = 100
self.max_height = 100
self.width = ... | {
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__author__ = 'MaitreyaBuddha'
from PySide.QtGui import QWidget, QGridLayout, QApplication
from PySide.QtCore import QMargins
from MAnimations.MAnimator import MAnimator
class MShape(QWidget, MAnimator):
def __init__(self):
QWidget.__init__(self)
self.__x = 0
self.__y = 0
self.__e... | {
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__author__ = "MaitreyaBuddha"
import abc
from PySide.QtCore import Signal, QObject
class MAnimate(QObject):
# Various signals which will be emitted from inside the animate function
# in the subclass
start_signal = Signal()
pause_signal = Signal()
end_signal = Signal()
resume_signal = Signal(... | {
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__author__ = 'MaitreyaBuddha'
import time
from PySide.QtGui import QApplication
from PySide.QtCore import QPoint, QPointF
from MAnimations.MAnimate import MAnimate
class MScale(MAnimate):
"""
Can be used to scale an MShape object to desired size.
(Does not handle children).
Requires target to be a ... | {
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__author__ = 'majid'
import os
from os import path
import sys
__all__ = ["RecordLinkage.tfidf"]
# sys.path.append(os.path.join(os.path.dirname(__file__), "."))
print(os.path.dirname(__file__))
sys.path.append(os.path.dirname(__file__))
from EntityResolution.tfidf import *
# from RecordLinker import *
# from Toolk... | {
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__author__ = 'Majisto'
from datetime import datetime
import os
import sys
import tkinter as tk
from tkinter import filedialog
import yaml
import requests
twofactor_list = []
class Member(yaml.YAMLObject):
yaml_tag = "Member"
def __init__(self, login, id_number, full_name, two_factor, email):
... | {
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"path": "extract_github_info.py",
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__author__ = 'Majisto'
import sys
import os
import tkinter as tk
from tkinter import filedialog
import yaml
from openpyxl import Workbook
class Member(yaml.YAMLObject):
yaml_tag = "Member"
def __init__(self, login, id_number, full_name, two_factor, email):
self.login = login
self.fu... | {
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__author__ = 'makarenok'
from model.group import Group
from model.contact import Contact
from timeit import timeit
def test_group_list(app, db):
print(timeit(lambda: app.group.get_group_list(), number=1))
def clean(group):
return Group(id=group.id, name=group.name.strip())
print(timeit(lambda: ma... | {
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__author__ = 'makarenok'
import mysql.connector
from model.group import Group
from model.contact import Contact
class DbFixture:
def __init__(self, host, name, user, password):
self.host = host
self.name = name
self.user = user
self.password = password
self.connection = mys... | {
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__author__ = 'makarenok'
from model.contact import Contact
import re
class ContactHelper:
def __init__(self, app):
self.app = app
def change_field_value(self, field_name, text):
wd = self.app.wd
if text is not None:
wd.find_element_by_name(field_name).click()
... | {
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"autogenerated": false,
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__author__ = 'makarenok'
from model.group import Group
import random
def test_modify_group_name(app, db, check_ui):
if app.group.count() == 0:
app.group.create(Group(name="test"))
old_groups = db.get_group_list()
group = random.choice(old_groups)
new_group = Group(name="New group")
new_gr... | {
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__author__ = 'makarenok'
# from random import randrange
from model.contact import Contact
import re
def test_info_on_home_page(app, db):
contacts_ui = sorted(app.contact.get_contact_list(), key=Contact.id_or_max)
contacts_db = sorted(db.get_contact_list(), key=Contact.id_or_max)
print(contacts_ui)
pr... | {
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__author__ = 'makarenok'
import re
def test_phones_on_home_page(app):
contact_from_home_page = app.contact.get_contact_list()[0]
contact_from_edit_page = app.contact.get_contact_info_from_edit_page(0)
assert contact_from_home_page.all_phones_from_home_page == merge_phones_like_on_home_page(contact_from_e... | {
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__author__ = 'makarenok'
class SessionHelper:
def __init__(self, app):
self.app = app
def login(self, username, password):
wd = self.app.wd
self.app.open_home_page()
wd.find_element_by_name("user").click()
wd.find_element_by_name("user").clear()
wd.find_element... | {
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__author__ = 'makarenok'
from model.group import Group
class GroupHelper:
def __init__(self, app):
self.app = app
def open_groups_page(self):
wd = self.app.wd
if self.check_url_group_page():
wd.find_element_by_link_text("groups").click()
def change_field_value(self,... | {
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__author__ = 'makarenok'
from sys import maxsize
class Contact:
def __init__(self, firstname=None, middlename=None, lastname=None, nickname=None, title=None, id=None,
company=None, address=None, homephone=None, mobilephone=None, workphone=None, secondaryphone=None,
email=None, ... | {
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__author__ = 'MAKJANG_DRAMA'
import pygame
pygame.init()
#setting_information
display_width = 800
display_height = 600
game_display = pygame.display.set_mode((display_width,display_height))
pygame.display.set_caption('본격! 육성, 나만의 틀린그림찾기!')
intro_img = pygame.image.load('0.png').convert()
icon_img = pygame.image.loa... | {
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"path": "civil_mid_mid/aa/foryou.py",
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... |
__author__ = 'MAKJANG_DRAMA'
import pygame, sys, time, math
from pygame.locals import *
pygame.init()
#setting_information
display_width = 800
display_height = 600
sscore = 0
Life = 100
# glocken = pygame.mixer.Sound('glocken.wav')
pygame.mixer.music.load('music.mp3')
# mixer.music.set_volume(0.4)
pygame.mixer.mus... | {
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__author__ = 'makov'
import numpy
import scipy.ndimage
def SSIM(x,y):
def cov(x,y):
return scipy.ndimage.measurements.mean(x*y)-\
scipy.ndimage.measurements.mean(x)*scipy.ndimage.measurements.mean(y)
import scipy.ndimage
sigma_x=scipy.ndimage.measurements.variance(x)
sigma_y=scip... | {
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"path": "tomo/yaivan/vsirt/notebook_VSIRT/ssim.py",
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__author__ = 'mamad'
import redis
import threading
from pymongo import MongoClient
from pymongo import database
from bson.objectid import ObjectId
import gridfs
import time
import sys
import json
import numpy as np
import cv
import cv2
PEACH_CHANNEL_FACE_DETECT = 'peach-detect-face-jobs'
PEACH_CHANNEL_JOB_DONE = 'pe... | {
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__author__ = 'mammothbane'
from datetime import datetime
import codecs
import os
import hashlib
import logging
import requests
from scrapy.contrib.spiders import CrawlSpider
from bs4 import BeautifulSoup
import delebot
from delebot.items import LuaClass, LuaMethod
build_date = datetime.now()
HASHFILE = 'log/hash.tx... | {
"repo_name": "mammothbane/deLebot",
"path": "delebot/spiders/ApiSpider.py",
"copies": "1",
"size": "5068",
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"hash": -4365134813581326000,
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__author__ = 'manabchetia'
import matplotlib.pyplot as plt
# Make sure that caffe is on the python path:
# caffe_root = '../' # this file is expected to be in {caffe_root}/examples
import sys
# sys.path.insert(0, caffe_root + 'python')
sys.path.append("/Users/manabchetia/Downloads/caffe/python/")
import caffe
# Set... | {
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__author__ = 'manabchetia'
'''
This script augments data by random rotation
'''
from os import listdir, makedirs
from os.path import join, exists
from PIL import Image
import random
import numpy as np
import cv2
SCALE = '384'
DTD_DIR = "/srv/datasets/Materials/DTD/dtd-r1.0.1/dtd/"
IMG_DIR = join(DTD_DIR, 'images')... | {
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__author__ = 'manabchetia'
'''
This script creates a new dataset based on SCALE = 256 or 384 or [256:512]
'''
from os import listdir, makedirs
from os.path import join, exists
import random
import numpy as np
import cv2
SCALE = '256_512'
DTD_DIR = "/srv/datasets/Materials/DTD/dtd-r1.0.1/dtd/"
IMG_DIR = join(DTD_DIR... | {
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__author__ = 'manabchetia'
'''
This script creates the DTD dataset based on train.txt, test.txt and validate.txt
'''
from os import listdir, makedirs
from os.path import join, exists
import shutil
import errno
from pprint import pprint
# DTD_DIR = "/Users/manabchetia/Documents/PyCharm/MaterialRecognition/data/dtd"
DTD... | {
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"path": "src/python/preprocess/dtd/create_dataset.py",
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__author__ = 'manabchetia'
'''
This script creates the train.txt, test.txt and val.txt required for LMDB creation
Contents of the files: [pathToImage classOfImage]
'''
from os import listdir
from os.path import join
MINC_DIR = '/srv/datasets/Materials/OpenSurfaces'
# MINC_DIR = '/Users/manabchetia/Documents/PyCharm/M... | {
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"path": "src/python/preprocess/minc/create_train_val_test_file.py",
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"... |
__author__ = 'manabchetia'
'''
This script extracts patches from images from train.txt, categories.txt and validate.txt
'''
from os import listdir, makedirs
from os.path import join, exists
import shutil
import errno
import cv2
import pandas as pd
MINC_DIR = '../../../data/MINC/'
CATEGORIES_FILE = join(MINC_DIR, 'mi... | {
"repo_name": "manmax31/MaterialRecognition",
"path": "src/python/preprocess/minc/extract_patches.py",
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__author__ = 'mandeepa'
import requests
import json
from nltk.tokenize import word_tokenize
from nltk.corpus import stopwords
from nltk.util import ngrams
import re
import uuid
url="https://otter.topsy.com/search.json?q=nepal earthquake&&mintime=1429786838&maxtime=1430996448&offset=10"
def tokenize(content):
stop_... | {
"repo_name": "should-i-go/should-i-go",
"path": "support_files/gettweets.py",
"copies": "1",
"size": "1733",
"license": "mit",
"hash": 6826013353004795000,
"line_mean": 35.8936170213,
"line_max": 138,
"alpha_frac": 0.6480092325,
"autogenerated": false,
"ratio": 3.1001788908765655,
"config_test... |
__author__ = 'mangate'
import numpy as np
import cPickle
from collections import defaultdict
import re
import pandas as pd
import os.path
from process_data_common import load_bin_vec, add_unknown_words, get_W
def build_data_cv(data_folder, cv=10, clean_string=True):
"""
Loads data and split into 10 folds.
... | {
"repo_name": "mangate/ConvNetSent",
"path": "process_data_subj.py",
"copies": "1",
"size": "3164",
"license": "mit",
"hash": -2684964631472341500,
"line_mean": 32.3157894737,
"line_max": 82,
"alpha_frac": 0.5524652339,
"autogenerated": false,
"ratio": 3.2318692543411642,
"config_test": false,
... |
__author__ = 'mangate'
import numpy as np
import cPickle
from collections import defaultdict
import re
import pandas as pd
import os.path
import glob
from process_data_common import load_bin_vec, add_unknown_words, get_W
def load_dataset():
x = []
y = []
for i, filename in enumerate(glob.iglob('data/opi/... | {
"repo_name": "mangate/ConvNetSent",
"path": "process_data_opi.py",
"copies": "1",
"size": "3860",
"license": "mit",
"hash": 2729881380250939000,
"line_mean": 32.275862069,
"line_max": 113,
"alpha_frac": 0.529015544,
"autogenerated": false,
"ratio": 3.120452708164915,
"config_test": false,
"h... |
__author__ = 'mangate'
import numpy as np
import cPickle
from collections import defaultdict
import re
import pandas as pd
import os.path
from process_data_common import load_bin_vec, add_unknown_words, get_W
classes = {
'NUM': 0,
'LOC': 1,
'HUM': 2,
'DESC': 3,
'ENTY': 4,
'ABBR': 5
}
def... | {
"repo_name": "mangate/ConvNetSent",
"path": "process_data_trec.py",
"copies": "1",
"size": "4799",
"license": "mit",
"hash": 4080930482394432000,
"line_mean": 30.1623376623,
"line_max": 113,
"alpha_frac": 0.5113565326,
"autogenerated": false,
"ratio": 3.153088042049934,
"config_test": true,
... |
__author__ = 'mangate'
import cPickle
from model import Model
import process_data_mr
import process_data_tweets
import process_data_sst1
import process_data_sst2
import process_data_subj
import process_data_trec
import process_data_politeness2
import process_data_opi
import process_data_irony
import tensorflow as tf
... | {
"repo_name": "mangate/ConvNetSent",
"path": "sentence_convnet_final.py",
"copies": "1",
"size": "2966",
"license": "mit",
"hash": -2598596480557785600,
"line_mean": 25.4821428571,
"line_max": 118,
"alpha_frac": 0.6716115981,
"autogenerated": false,
"ratio": 2.9512437810945276,
"config_test": f... |
import re
import os
import ConfigParser
import logging
# When reading in a JSON file into a dictionary, the elements are read in as unicode.
# This function converts it to the strings
def json_convert_unicode_to_string(unicode_dict):
if isinstance(unicode_dict, dict):
return {json_convert_unicode_to_string(key):... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/utils/misc.py",
"copies": "1",
"size": "2909",
"license": "bsd-3-clause",
"hash": -5615641513873964000,
"line_mean": 29.3020833333,
"line_max": 154,
"alpha_frac": 0.6730835339,
"autogenerated": false,
"ratio": 2.7417530631479736,
"config_... |
import sys
import os
import Queue
import BaseDevice
#import httplib
import requests
import time
import json
import logging
from pkg.utils.debug import debug_mesg
from pkg.utils.misc import json_convert_unicode_to_string
class Vera(BaseDevice.Device):
def __init__(self, id, params):
super(Vera,self).__init__("Vera... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/Vera.py",
"copies": "1",
"size": "3167",
"license": "bsd-3-clause",
"hash": -8625961203967477000,
"line_mean": 31.6597938144,
"line_max": 112,
"alpha_frac": 0.6378275971,
"autogenerated": false,
"ratio": 2.8352730528200536,
"confi... |
import sys
import os
import Queue
import BaseDevice
import ModbusDevice
import time
import logging
from pkg.utils.debug import debug_mesg
class EatonIQ260(ModbusDevice.TCPModbusDevice):
def __init__(self, id, params):
modbus_addr = 1
modbus_func = 3
# some more Eaton specific information
self.reg_addr = 999... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/EatonIQ260.py",
"copies": "1",
"size": "2592",
"license": "bsd-3-clause",
"hash": -4842420977716216000,
"line_mean": 30.6219512195,
"line_max": 117,
"alpha_frac": 0.6277006173,
"autogenerated": false,
"ratio": 2.793103448275862,
"... |
import sys
import os
import Queue
import BaseDevice
import ModbusDevice
import time
import logging
from pkg.utils.debug import debug_mesg
class VerisE30A042(ModbusDevice.TCPModbusDevice):
def __init__(self, id, params):
modbus_addr = 1
modbus_func = 3
# some more Veris specific information
self.max_meter_co... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/VerisE30A042.py",
"copies": "1",
"size": "2793",
"license": "bsd-3-clause",
"hash": -2522607367884020700,
"line_mean": 27.5102040816,
"line_max": 96,
"alpha_frac": 0.6709631221,
"autogenerated": false,
"ratio": 2.7902097902097904,
... |
import sys
import os
import Queue
import BaseDevice
import time
#import httplib
import requests
import xml.dom.minidom
import logging
from pkg.utils.debug import debug_mesg
class eGaugeHTTP(BaseDevice.Device):
def __init__(self, id, params):
super(eGaugeHTTP,self).__init__("eGaugeHTTP", id, params)
self.i=0
if... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/eGaugeHTTP.py",
"copies": "1",
"size": "2501",
"license": "bsd-3-clause",
"hash": -441794069148321340,
"line_mean": 30.275,
"line_max": 106,
"alpha_frac": 0.6661335466,
"autogenerated": false,
"ratio": 2.8323895809739525,
"config_... |
import sys
import os
import Queue
import BaseDevice
import time
import logging
from pkg.utils.debug import debug_mesg
from pysnmp.entity.rfc3413.oneliner import cmdgen
class Raritan(BaseDevice.Device):
def __init__(self, id, params):
super(Raritan,self).__init__("Raritan", id, params)
self.i = 0
if 'usernam... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/Raritan.py",
"copies": "1",
"size": "4882",
"license": "bsd-3-clause",
"hash": -8521130174861613000,
"line_mean": 38.6991869919,
"line_max": 117,
"alpha_frac": 0.6015977059,
"autogenerated": false,
"ratio": 2.0223695111847557,
"co... |
import sys
import os
import Queue
import BaseService
import calendar
import iso8601
import logging
from pkg.utils.debug import debug_mesg
class Stdout(BaseService.Service):
def __init__(self, id, params):
super(Stdout,self).__init__("Stdout", id, params)
debug_mesg("Created Stdout Service with id: "+id)
def p... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/services/Stdout.py",
"copies": "1",
"size": "1161",
"license": "bsd-3-clause",
"hash": 8504393401166492000,
"line_mean": 22.7142857143,
"line_max": 179,
"alpha_frac": 0.5951765719,
"autogenerated": false,
"ratio": 2.5404814004376366,
"con... |
import sys
import os
import Queue
import BaseService
import calendar
import iso8601
import time
import logging
from pkg.utils.debug import debug_mesg
class File(BaseService.Service):
def __init__(self, id, params):
super(File,self).__init__("File", id, params)
self.folder = params.get('folder',"sam_out")
self.... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/services/File.py",
"copies": "1",
"size": "2522",
"license": "bsd-3-clause",
"hash": -8825518253288401000,
"line_mean": 26.1290322581,
"line_max": 123,
"alpha_frac": 0.6324345757,
"autogenerated": false,
"ratio": 2.6519453207150367,
"conf... |
import sys
import os
import Queue
import BaseService
import time
import json
import math
import random
import re
import threading, Queue
import requests
from urlparse import urlparse
import logging
import calendar
import iso8601
from datetime import datetime
from pkg.utils.misc import match_and_replace, match_and_r... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/services/Xively.py",
"copies": "1",
"size": "17501",
"license": "bsd-3-clause",
"hash": -8490498017485099000,
"line_mean": 37.047826087,
"line_max": 144,
"alpha_frac": 0.6729329753,
"autogenerated": false,
"ratio": 2.973326537546721,
"con... |
import sys
import os
import time
import Queue
import BaseDevice
import socket
import signal
#import httplib
import requests
import xml.dom.minidom
import logging
from pkg.utils.debug import debug_mesg
class TED5000(BaseDevice.Device):
def __init__(self, id, params):
super(TED5000,self).__init__("TED5000", id, para... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/TED5000.py",
"copies": "1",
"size": "2765",
"license": "bsd-3-clause",
"hash": -1358987258139337700,
"line_mean": 29.3956043956,
"line_max": 117,
"alpha_frac": 0.6585895118,
"autogenerated": false,
"ratio": 2.8214285714285716,
"co... |
import sys
import os
import time
import Queue
import BaseDevice
import socket
import signal
import logging
from pkg.utils.debug import debug_mesg
class Shenitech(BaseDevice.Device):
def __init__(self, id, params):
super(Shenitech,self).__init__("Shenitech", id, params)
self.decription = "Shenitech_STUF200H"
if... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/Shenitech.py",
"copies": "1",
"size": "1821",
"license": "bsd-3-clause",
"hash": 4437096179752611300,
"line_mean": 26.1940298507,
"line_max": 93,
"alpha_frac": 0.6551345415,
"autogenerated": false,
"ratio": 2.827639751552795,
"con... |
import sys
import os
import time
import Queue
import BaseDevice
import socket
import signal
import struct
import socket
import logging
from pkg.utils.debug import debug_mesg
from pkg.utils import crc16
class TCPModbusDevice(BaseDevice.Device):
def __init__(self, type, id, mbaddr, mbfunc, params):
super(TCPModbusD... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/ModbusDevice.py",
"copies": "1",
"size": "3301",
"license": "bsd-3-clause",
"hash": 2454339946798953500,
"line_mean": 27.2222222222,
"line_max": 126,
"alpha_frac": 0.6879733414,
"autogenerated": false,
"ratio": 3.0850467289719625,
... |
import threading, Queue
import logging
from pkg.utils.debug import debug_mesg
class Service(threading.Thread):
def __init__(self, type, id, params):
threading.Thread.__init__(self)
self.type = type
self.id = id
self.params = params
#print("service %s:%s params = "%(self.type,self.id)),
#print(params)
... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/services/BaseService.py",
"copies": "1",
"size": "3433",
"license": "bsd-3-clause",
"hash": -8837089733813465000,
"line_mean": 38.9302325581,
"line_max": 215,
"alpha_frac": 0.6845324789,
"autogenerated": false,
"ratio": 3.0488454706927177,
... |
import threading, Queue
import time
import logging
from pkg.utils.debug import debug_mesg
from pkg.utils.misc import is_valid_host
class Device(threading.Thread):
def __init__(self, type, id, params):
threading.Thread.__init__(self)
self.type = type
self.id = id
self.params = params
self.outputqueues = [... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/BaseDevice.py",
"copies": "1",
"size": "2317",
"license": "bsd-3-clause",
"hash": 518789140871935040,
"line_mean": 25.3409090909,
"line_max": 89,
"alpha_frac": 0.6568839016,
"autogenerated": false,
"ratio": 2.9781491002570695,
"co... |
# read 10.0.0.228 analogInput 196608 presentValue
import sys
import os
import time
import Queue
import BaseDevice
import socket
import signal
import struct
import socket
import logging
from pkg.utils.debug import debug_mesg
from pkg.utils import crc16
import logging
from ConfigParser import ConfigParser
from bacp... | {
"repo_name": "nesl/SensorActuatorManager",
"path": "pkg/devices/BacnetDevice.py",
"copies": "1",
"size": "9647",
"license": "bsd-3-clause",
"hash": -3725927353681027600,
"line_mean": 32.4965277778,
"line_max": 133,
"alpha_frac": 0.6344977713,
"autogenerated": false,
"ratio": 3.843426294820717,
... |
__author__ = 'Manuel Belmadani'
__copyright__ = 'Copyright 2017, The Pavlidis Lab., Michael Smith Laboratories, University of British Columbia'
__credits__ = ['Manuel Belmadani']
__license__ = 'LGPL'
__version__ = '1.0.1'
__maintainer__ = 'Manuel Belmadani'
__email__ = 'manuel.belmadani@msl.ubc.ca'
__status__ = 'Produc... | {
"repo_name": "ppavlidis/rnaseq-pipeline",
"path": "rnaseq_pipeline/miniml_utils.py",
"copies": "1",
"size": "2093",
"license": "unlicense",
"hash": -7766736416724125000,
"line_mean": 37.0545454545,
"line_max": 111,
"alpha_frac": 0.6612517917,
"autogenerated": false,
"ratio": 3.306477093206951,
... |
__author__ = "Manuel Escriche <mev@tid.es>"
from flask import Blueprint, render_template, abort, request, redirect, url_for, flash
from flask_login import login_required
from kernel.Backlog import BacklogFactory, LocalBacklogFactory
from kernel.Reporter import ToolReporter
from kernel import agileCalendar
from . import... | {
"repo_name": "flopezag/fiware-backlog",
"path": "app/tools/views.py",
"copies": "1",
"size": "2563",
"license": "apache-2.0",
"hash": -2059149366562916600,
"line_mean": 40.3387096774,
"line_max": 90,
"alpha_frac": 0.7331252439,
"autogenerated": false,
"ratio": 3.7858197932053175,
"config_test"... |
__author__ = "Manuel Escriche <mev@tid.es>"
import time
from operator import attrgetter
from flask import Blueprint, render_template, abort, request, redirect, url_for, flash
from flask_login import login_required
from flask_wtf import FlaskForm
from wtforms import SelectField
from kconfig import agileCalendar, helpde... | {
"repo_name": "flopezag/fiware-backlog",
"path": "app/helpdesk/views.py",
"copies": "1",
"size": "10991",
"license": "apache-2.0",
"hash": 8652649555022621000,
"line_mean": 38.535971223,
"line_max": 103,
"alpha_frac": 0.6292421072,
"autogenerated": false,
"ratio": 4.0707407407407405,
"config_te... |
__author__ = "Manuel Escriche <mev@tid.es>"
from datetime import date, datetime
from kconfig import settings, agileCalendar, helpdeskCompBookByKey, accountsDeskBookByKey
class LinkedIssue:
def __init__(self, item):
super().__init__()
_type = [key for key in ('inwardIssue', 'outwardIssue') if ke... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kernel/NM_Issue.py",
"copies": "1",
"size": "6894",
"license": "apache-2.0",
"hash": -2458032810144142000,
"line_mean": 29.64,
"line_max": 123,
"alpha_frac": 0.5992167102,
"autogenerated": false,
"ratio": 3.8665171060011216,
"config_test": false... |
__author__ = "Manuel Escriche <mev@tid.es>"
import base64, certifi, requests
from kconfig import settings
class ConnectionToJIRA(Exception):
pass
class Connector:
url_api = {
'session': '/rest/auth/1/session',
'project': '/rest/api/latest/project',
'component': '/rest/api/latest/co... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kernel/Connector.py",
"copies": "1",
"size": "7607",
"license": "apache-2.0",
"hash": -4782980505535604000,
"line_mean": 34.2175925926,
"line_max": 108,
"alpha_frac": 0.5702642303,
"autogenerated": false,
"ratio": 4.094187298170075,
"config_test... |
__author__ = "Manuel Escriche <mev@tid.es>"
import logging
from operator import attrgetter
from flask import render_template,request, redirect, url_for, flash
from flask_login import login_required
from kconfig import agileCalendar
from kernel.IssuesList import IssuesList, IssuesFactory
from . import urgent
@urgent.r... | {
"repo_name": "flopezag/fiware-backlog",
"path": "app/urgent/views.py",
"copies": "1",
"size": "4749",
"license": "apache-2.0",
"hash": -7141009669725696000,
"line_mean": 40.6578947368,
"line_max": 99,
"alpha_frac": 0.7129922089,
"autogenerated": false,
"ratio": 3.6141552511415527,
"config_test... |
__author__ = "Manuel Escriche <mev@tid.es>"
import os
from collections import OrderedDict
from xml.etree import ElementTree as ET
from kernel.Connector import Connector
class Node:
def __init__(self, node):
self.name = node.get('name')
tagsList = [child.tag for child in node]
self.support... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kconfig/NodesBook.py",
"copies": "1",
"size": "1820",
"license": "apache-2.0",
"hash": 4864698382667297000,
"line_mean": 33.3396226415,
"line_max": 107,
"alpha_frac": 0.6263736264,
"autogenerated": false,
"ratio": 3.6693548387096775,
"config_tes... |
__author__ = "Manuel Escriche <mev@tid.es>"
import os
from collections import OrderedDict
from xml.etree import ElementTree as ET
from kconfig import enablersBookByName, toolsBookByName, workingGroupsBookByName, \
coordinationBook, helpdeskCompBookByName, accountsDeskBookByName, labCompBook, labNodesBook
class ... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kconfig/TTrackerBook.py",
"copies": "1",
"size": "11646",
"license": "apache-2.0",
"hash": -1056666429499603000,
"line_mean": 37.4356435644,
"line_max": 131,
"alpha_frac": 0.6321483771,
"autogenerated": false,
"ratio": 3.927824620573356,
"config... |
__author__ = "Manuel Escriche <mev@tid.es>"
import os
from xml.etree import ElementTree as ET
class Server:
def __init__(self, server):
tagsList = [child.tag for child in server]
self.name = server.get('name')
self.domain = server.find('domain').text
self.username = server.find('us... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kconfig/Settings.py",
"copies": "1",
"size": "1162",
"license": "apache-2.0",
"hash": 6293649527272123000,
"line_mean": 34.2121212121,
"line_max": 88,
"alpha_frac": 0.6058519793,
"autogenerated": false,
"ratio": 3.4790419161676644,
"config_test"... |
__author__ = "Manuel Escriche <mev@tid.es>"
import os, pickle, base64, requests
from datetime import datetime
from kconfig import trackersBook, trackersBookByKey
from kconfig import tComponentsBook
from kernel.Jira import JIRA
class DataEngine:
class DataObject:
def __init__(self, name, storage):
... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kernel/DataFactory.py",
"copies": "1",
"size": "5015",
"license": "apache-2.0",
"hash": -1899843574491660500,
"line_mean": 32.8851351351,
"line_max": 90,
"alpha_frac": 0.5812562313,
"autogenerated": false,
"ratio": 3.9928343949044587,
"config_te... |
__author__ = "Manuel Escriche <mev@tid.es>"
import statistics
from datetime import date, datetime
from itertools import accumulate
from collections import Counter
from . import calendar as FWcalendar
from kconfig import tComponentsBook
from kconfig import tHelpDeskNodesBook
class ChannelDeskReporter:
def __init_... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kernel/Desk.py",
"copies": "1",
"size": "14118",
"license": "apache-2.0",
"hash": 513867507001532500,
"line_mean": 35.861618799,
"line_max": 129,
"alpha_frac": 0.5590735232,
"autogenerated": false,
"ratio": 3.932590529247911,
"config_test": fals... |
__author__ = 'Manuel Escriche'
from flask import render_template, redirect, url_for, request
from flask_login import login_required, login_url, login_user, logout_user
from .Users import User, LoginForm
from app import login_manager
from . import auth
@auth.route('/login', methods=['GET', 'POST'])
def login():
er... | {
"repo_name": "flopezag/fiware-backlog",
"path": "app/auth/views.py",
"copies": "1",
"size": "1148",
"license": "apache-2.0",
"hash": 2976489785412877000,
"line_mean": 30.027027027,
"line_max": 74,
"alpha_frac": 0.612369338,
"autogenerated": false,
"ratio": 3.763934426229508,
"config_test": fal... |
__author__ = 'Manuel Escriche'
from kernel.NM_Issue import AccountRequest, AccountProvision
from kconfig.TTrackerBook import accountsDeskBookByName
from kernel.NM_Aggregates import _Deck
from kernel.Recorder import Recorder
from kernel.NM_HelpDeskReporter import DeckReporter
from kernel.DataBoard import Data
_IssueTy... | {
"repo_name": "flopezag/fiware-backlog",
"path": "kernel/NM_AccountsDeskReporter.py",
"copies": "1",
"size": "3874",
"license": "apache-2.0",
"hash": -2608286842148534300,
"line_mean": 40.6559139785,
"line_max": 131,
"alpha_frac": 0.6587506453,
"autogenerated": false,
"ratio": 3.953061224489796,
... |
__author__ = 'Manuel'
from pyparsing import *
class InterpreterException(Exception):
pass
class IntParse:
def parse_command(self, cmd_str):
assert_dl = Literal("/assert ") + Word(printables)
loadfile = Literal("/script ") + dblQuotedString + StringEnd()
quit = Literal("/quit") + Strin... | {
"repo_name": "saltzm/yadi",
"path": "yadi/interpreter/interpreter_parse.py",
"copies": "1",
"size": "1031",
"license": "bsd-3-clause",
"hash": -2437056911196765000,
"line_mean": 35.8214285714,
"line_max": 75,
"alpha_frac": 0.5965082444,
"autogenerated": false,
"ratio": 3.70863309352518,
"confi... |
__author__ = 'Manuel'
import unittest
import os
import time
from gitFunctions import Commiter, Initializer
from configuration import Builder
import shell
import configuration
from tests import testhelper
class GitFunctionsTestCase(unittest.TestCase):
def setUp(self):
self.cwd = os.getcwd()
def tea... | {
"repo_name": "jacobilsoe/rtc2git",
"path": "tests/test_gitFunctions.py",
"copies": "1",
"size": "11507",
"license": "mit",
"hash": -3268955815061773300,
"line_mean": 49.2489082969,
"line_max": 142,
"alpha_frac": 0.6862779178,
"autogenerated": false,
"ratio": 4.015003489183531,
"config_test": t... |
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.widget import Widget
from kivy.uix.behaviors import ButtonBehavior
from kivy.vector import Vector
from kivy.graphics import Color, Rectangle, Ellipse
from kivy.graphics.instructions import InstructionGroup
from kivy.lang import Builder
from kivy.properties ... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/valle_libs/components/labels.py",
"copies": "1",
"size": "3294",
"license": "apache-2.0",
"hash": 45281842426692250,
"line_mean": 32.9587628866,
"line_max": 99,
"alpha_frac": 0.6399514268,
"autogenerated": false,
"ratio": 3.5495689655172415,
... |
from django.conf.urls import url, include
from . import views
app_name = "conta"
GASTOS = [
url(r"^gastos/$", views.gastos, name="gastos"),
url(r"^elegir_cuenta/$", views.elegir_cuenta, name="elegir_cuenta"),
url(r"^gastos/(?P<id>-?\d*)/$", views.gastos, name="gastos"),
url(r"^lista_gastos/$", views.l... | {
"repo_name": "vallemrv/tpvB3",
"path": "cloud/contabilidad/urls.py",
"copies": "1",
"size": "4043",
"license": "apache-2.0",
"hash": 2956174831967435300,
"line_mean": 48.3048780488,
"line_max": 98,
"alpha_frac": 0.6492703438,
"autogenerated": false,
"ratio": 2.3894799054373523,
"config_test": ... |
import sys
import os
try:
reload(sys)
sys.setdefaultencoding('UTF8')
except:
from importlib import reload
reload(sys)
BASE_DIR = os.path.dirname(os.path.abspath(__file__))
ROOT_DIR = os.path.dirname(BASE_DIR)
os.chdir(BASE_DIR)
sys.path.append(ROOT_DIR)
sys.path.insert(0, os.path.join(ROOT_DIR, "valle... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/tpv/syncdb.py",
"copies": "1",
"size": "3798",
"license": "apache-2.0",
"hash": -4683235378824188000,
"line_mean": 29.6290322581,
"line_max": 97,
"alpha_frac": 0.5239599789,
"autogenerated": false,
"ratio": 3.20777027027027,
"config_test": ... |
import config
import json
from kivy.storage.jsonstore import JsonStore
from models.db import Clases, Productos, Ingredientes, ClasesPreguntas, Preguntas
from valleorm.qson import QSonSender, QSon
class ClasesSender(QSonSender):
db_name = "clases"
url = config.URL_SERVER+"/simpleapi/"
token = ""
def ... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv/syncdb.py",
"copies": "1",
"size": "3439",
"license": "apache-2.0",
"hash": 6609983594417911000,
"line_mean": 31.1401869159,
"line_max": 97,
"alpha_frac": 0.5167199767,
"autogenerated": false,
"ratio": 3.2110177404295053,
"config_test": false,
"has... |
import config
from valle_libs.valleorm.qson import *
from models.db import *
from datetime import datetime
from kivy.storage.jsonstore import JsonStore
import time
import json
import os
path = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
url_db = os.path.join(path, "db", "sync.json")
db = JsonStore(u... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv/syncdb_send.py",
"copies": "1",
"size": "3027",
"license": "apache-2.0",
"hash": -6224701597228180000,
"line_mean": 27.5566037736,
"line_max": 83,
"alpha_frac": 0.5771390816,
"autogenerated": false,
"ratio": 2.8556603773584905,
"config_test": false,
... |
# Register your models here.
from django.contrib import admin
from django.apps import apps
from .models import *
class PreguntasInline(admin.TabularInline):
model = Preguntas
@admin.register(ClasesPreguntas)
class ClasePreguntasAdmin(admin.ModelAdmin):
list_display = ('nombre', "preguntas")
inlines = [
... | {
"repo_name": "vallemrv/tpvB3",
"path": "cloud/clases/admin.py",
"copies": "1",
"size": "1302",
"license": "apache-2.0",
"hash": -5498291756331074000,
"line_mean": 25.04,
"line_max": 81,
"alpha_frac": 0.6927803379,
"autogenerated": false,
"ratio": 3.1148325358851676,
"config_test": false,
"ha... |
import os
try:
exists = unichr(0xf090)
except Exception as e:
unichr = lambda s: chr(s)
PATH_RES = os.path.join(os.path.dirname(__file__), "res")
PATH_FONT = os.path.join(PATH_RES, "fonts")
PATH_ICON = os.path.join(PATH_RES, "icon")
PATH_IMG = os.path.join(PATH_RES, "img")
FONT_AWESOME = os.path.join(PATH_FO... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/valle_libs/components/resources.py",
"copies": "1",
"size": "1636",
"license": "apache-2.0",
"hash": -4954918704398337000,
"line_mean": 27.2068965517,
"line_max": 65,
"alpha_frac": 0.706601467,
"autogenerated": false,
"ratio": 2.2596685082872... |
import os
try:
FA_ENTER = unichr(0xf090)
except Exception as e:
unichr = lambda s: chr(s)
PATH_RES = os.path.join(os.path.dirname(__file__), "res")
PATH_FONT = os.path.join(PATH_RES, "fonts")
PATH_ICON = os.path.join(PATH_RES, "icon")
PATH_IMG = os.path.join(PATH_RES, "img")
FONT_AWESOME = os.path.join(PATH_... | {
"repo_name": "vallemrv/tpvB3",
"path": "receptor/valle_libs/components/resources.py",
"copies": "1",
"size": "1611",
"license": "apache-2.0",
"hash": -5319469967549727000,
"line_mean": 27.2631578947,
"line_max": 65,
"alpha_frac": 0.7057728119,
"autogenerated": false,
"ratio": 2.2531468531468533,... |
from django.db.models import Sum
from django.shortcuts import render
from django.contrib.auth.decorators import login_required
from django.views.decorators.csrf import csrf_exempt
from ventas.models import Arqueos, Conteo, Gastos, PedidosExtra, Pedidos
from tokenapi.http import JsonResponse, JsonError
import json
@l... | {
"repo_name": "vallemrv/tpvB3",
"path": "cloud/ventas/views/arqueos.py",
"copies": "1",
"size": "3733",
"license": "apache-2.0",
"hash": -6624520711027647000,
"line_mean": 37.8854166667,
"line_max": 100,
"alpha_frac": 0.5371015269,
"autogenerated": false,
"ratio": 3.2832014072119615,
"config_te... |
from kivy.uix.anchorlayout import AnchorLayout
from kivy.lang import Builder
from kivy.properties import StringProperty, ListProperty, NumericProperty
from kivy.utils import get_color_from_hex
Builder.load_string('''
#:import get_color kivy.utils.get_color_from_hex
<ValleListView>:
list: _listado
scroll: _sc... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/valle_libs/components/listview.py",
"copies": "1",
"size": "1446",
"license": "apache-2.0",
"hash": -7333104066121305000,
"line_mean": 25.2909090909,
"line_max": 73,
"alpha_frac": 0.6182572614,
"autogenerated": false,
"ratio": 3.4103773584905... |
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.boxlayout import BoxLayout
from kivy.storage.jsonstore import JsonStore
from kivy.properties import (StringProperty, NumericProperty,
ObjectProperty)
from kivy.lang import Builder
from components.botoncolor import ButtonColor
im... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/valle_libs/components/vteclado.py",
"copies": "2",
"size": "3022",
"license": "apache-2.0",
"hash": -6019282844379614000,
"line_mean": 31.1489361702,
"line_max": 73,
"alpha_frac": 0.5413633355,
"autogenerated": false,
"ratio": 3.5763313609467... |
from kivy.uix.modalview import ModalView
from kivy.uix.button import Button
from kivy.properties import ObjectProperty, StringProperty, ListProperty
from kivy.lang import Builder
Builder.load_file("view/sugerencias.kv")
class Sugerencias(ModalView):
onExit = ObjectProperty(None, allownone=True)
content = Ob... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/tpv/modals/sugerencias.py",
"copies": "1",
"size": "1333",
"license": "apache-2.0",
"hash": -1997025267807960000,
"line_mean": 28.6222222222,
"line_max": 72,
"alpha_frac": 0.6466616654,
"autogenerated": false,
"ratio": 3.2354368932038833,
"... |
from __future__ import unicode_literals
from django.db import models
# Create your models here.
class Pedidos(models.Model):
fecha = models.DateTimeField(auto_now_add=True)
modo_pago = models.CharField(max_length=50)
para_llevar = models.CharField(max_length=50)
num_avisador = models.CharField(max_... | {
"repo_name": "vallemrv/tpvB3",
"path": "cloud/ventas/models.py",
"copies": "1",
"size": "6100",
"license": "apache-2.0",
"hash": -5537097329556747000,
"line_mean": 42.8848920863,
"line_max": 106,
"alpha_frac": 0.6701639344,
"autogenerated": false,
"ratio": 3.1589849818746765,
"config_test": fa... |
# Register your models here.
from django.contrib import admin
from django.apps import apps
from .models import *
@admin.register(Arqueos)
class ArqueosAdmin(admin.ModelAdmin):
list_display = ('fecha', 'caja_dia', "efectivo", "tarjeta", "cambio", "descuadre")
fields = ('caja_dia', "efectivo", "tarjeta", "ca... | {
"repo_name": "vallemrv/tpvB3",
"path": "cloud/ventas/admin.py",
"copies": "1",
"size": "1307",
"license": "apache-2.0",
"hash": -4355528728192864000,
"line_mean": 27.4130434783,
"line_max": 92,
"alpha_frac": 0.6824789594,
"autogenerated": false,
"ratio": 2.8725274725274725,
"config_test": fals... |
from valleorm import models
class Gastos(models.Model):
des = models.CharField(max_length=100)
gasto = models.DecimalField(max_digits=20, decimal_places=2)
modify = models.DateTimeField(auto_now=True)
class Conteo(models.Model):
can = models.IntegerField()
tipo = models.DecimalField(max_digits... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv/models/db/arqueos.py",
"copies": "1",
"size": "1834",
"license": "apache-2.0",
"hash": 6324866436577960000,
"line_mean": 41.6511627907,
"line_max": 91,
"alpha_frac": 0.7328244275,
"autogenerated": false,
"ratio": 3.1137521222410864,
"config_test": fa... |
from kivy.uix.relativelayout import RelativeLayout
from kivy.uix.floatlayout import FloatLayout
from kivy.properties import (StringProperty, ListProperty, NumericProperty,
ObjectProperty, DictProperty)
from kivy.animation import Animation
from kivy.lang import Builder
import components.res... | {
"repo_name": "vallemrv/tpvB3",
"path": "receptor/valle_libs/components/pagenavigations.py",
"copies": "2",
"size": "3118",
"license": "apache-2.0",
"hash": 1133843800251685900,
"line_mean": 28.6952380952,
"line_max": 98,
"alpha_frac": 0.6090442591,
"autogenerated": false,
"ratio": 3.555302166476... |
from kivy.uix.anchorlayout import AnchorLayout
from kivy.lang import Builder
from kivy.properties import ObjectProperty, ListProperty, NumericProperty
from kivy.clock import Clock
from random import shuffle
Builder.load_string('''
#:import Botonera components.botonera.Botonera
#:import res components.resources
<Passwo... | {
"repo_name": "vallemrv/tpvB3",
"path": "receptor/valle_libs/components/password.py",
"copies": "2",
"size": "3776",
"license": "apache-2.0",
"hash": 471803589606268350,
"line_mean": 31.2735042735,
"line_max": 75,
"alpha_frac": 0.5129766949,
"autogenerated": false,
"ratio": 3.486611265004617,
"... |
from kivy.uix.relativelayout import RelativeLayout
from kivy.uix.anchorlayout import AnchorLayout
from kivy.uix.boxlayout import BoxLayout
from kivy.uix.behaviors import ButtonBehavior
from kivy.properties import (StringProperty, ObjectProperty, OptionProperty,
ListProperty, DictProperty, ... | {
"repo_name": "vallemrv/tpvB3",
"path": "tpv_for_eetop/valle_libs/components/inputform.py",
"copies": "2",
"size": "7342",
"license": "apache-2.0",
"hash": 7771454752415136000,
"line_mean": 29.9789029536,
"line_max": 99,
"alpha_frac": 0.5957504767,
"autogenerated": false,
"ratio": 3.8846560846560... |
from kivy.uix.anchorlayout import AnchorLayout
from kivy.properties import BooleanProperty, NumericProperty
from kivy.animation import Animation
from kivy.lang import Builder
Builder.load_string('''
#:import res components.resources
<Spin>:
spin_label: _spin_label
anchor_x: 'center'
anchor_x: 'center'
... | {
"repo_name": "vallemrv/tpvB3",
"path": "receptor/valle_libs/components/spin.py",
"copies": "2",
"size": "2042",
"license": "apache-2.0",
"hash": 8959395006907362000,
"line_mean": 23.6024096386,
"line_max": 60,
"alpha_frac": 0.5577864838,
"autogenerated": false,
"ratio": 3.4090150250417364,
"co... |
__author__ = "Manuel Sanchez del Rio"
__contact__ = "srio@esrf.eu"
__copyright__ = "ESRF, 2014-2017"
# try:
# raise Exception("use local srundplug")
# from orangecontrib.xoppy.util import srundplug
# except:
import srundplug
from srundplug_examples import get_beamline
import numpy
from coll... | {
"repo_name": "srio/shadow3-scripts",
"path": "srundplug_test_convolution.py",
"copies": "1",
"size": "2807",
"license": "mit",
"hash": -8472971857795985000,
"line_mean": 26.9381443299,
"line_max": 120,
"alpha_frac": 0.5179907374,
"autogenerated": false,
"ratio": 3.5219573400250943,
"config_tes... |
def calculate_change(due,paid):
# final changes
finalChanges=[]
# available change units in cents
availableChanges=[10000,5000,1000,500,200,100,50,20,10]
# money change supports up to cents only
if (int(due*100)%10)!=0 or (int(paid*100)%10)!=0 :
print("wrong amount found in'due amount' or 'paid amount', "
+"... | {
"repo_name": "Maple0/Algorithm",
"path": "python/money-change.py",
"copies": "1",
"size": "1335",
"license": "mit",
"hash": 9199382199510425000,
"line_mean": 36.1111111111,
"line_max": 76,
"alpha_frac": 0.7220973783,
"autogenerated": false,
"ratio": 3.2720588235294117,
"config_test": false,
... |
#Giving a string, move the first n numbers of characters(0 to n) to the end of the string.
#For example, a given string "abcdefg", move the first 2 characters "ab" to the end of the string
#so that the output is "cdefgab"
def reverse_string_left(string,n):
length=len(string)
if n <=0 or length ==0 or n>length:
r... | {
"repo_name": "Maple0/Algorithm",
"path": "python/reverse-string.py",
"copies": "1",
"size": "1311",
"license": "mit",
"hash": 4861334257702468000,
"line_mean": 29.511627907,
"line_max": 97,
"alpha_frac": 0.7124332571,
"autogenerated": false,
"ratio": 2.795309168443497,
"config_test": false,
... |
class Node:
def __init__(self, data=None,next=None):
self.data = data
self.next = None
def get_data(self):
return self.data
class SinglyLinkedList:
def __init__(self):
self.root = None
self.last = None
def get_root_node(self):
return self.root
def get_last_node(self):
return self.last
def searc... | {
"repo_name": "Maple0/Algorithm",
"path": "python/singly-linked-list.py",
"copies": "1",
"size": "1519",
"license": "mit",
"hash": -750356956966902900,
"line_mean": 19.2533333333,
"line_max": 41,
"alpha_frac": 0.6899275839,
"autogenerated": false,
"ratio": 2.766848816029144,
"config_test": fals... |
# Given two strings: string A and string B , assume the length of string B is less than string A.
# write a algorithm to check if string A contains string B
#For example: string A is "A","B","C","D" and string B is "B","C","D" then the string A contains the string B
import hashlib
# time complexity is bad O(n*m)
de... | {
"repo_name": "Maple0/Algorithm",
"path": "python/string-contains.py",
"copies": "1",
"size": "1454",
"license": "mit",
"hash": 1795093175872773400,
"line_mean": 25.9444444444,
"line_max": 111,
"alpha_frac": 0.6561210454,
"autogenerated": false,
"ratio": 2.658135283363803,
"config_test": false,... |
class Interval(object):
def __init__(self, s=0, e=0):
self.start = s
self.end = e
class Merge_ResultSet(object):
def __init__(self,is_modified,merged_numbers):
self.is_modified = is_modified
self.merged_numbers = merged_numbers
class Solution(object):
def inner_merge(self,numbers):
is_modif... | {
"repo_name": "Maple0/Algorithm",
"path": "leetcode/merge-overlapping-intervals.py",
"copies": "1",
"size": "1961",
"license": "mit",
"hash": 4184162891011567600,
"line_mean": 28.7272727273,
"line_max": 77,
"alpha_frac": 0.6185619582,
"autogenerated": false,
"ratio": 3.1731391585760518,
"config... |
#Given a binary tree, return the level order traversal of its nodes' values.
#(ie, from left to right, level by level).
#For example:
#Given binary tree [3,9,20,null,null,15,7],
# 3
# / \
# 9 20
# / \
# 15 7
#return its level order traversal as:
#[
# [3],
# [9,20],
# [15,7]
#]
# Definition for a bi... | {
"repo_name": "Maple0/Algorithm",
"path": "leetcode/binary-tree-level-order-traversal.py",
"copies": "1",
"size": "1374",
"license": "mit",
"hash": 8422260152001111000,
"line_mean": 18.0972222222,
"line_max": 77,
"alpha_frac": 0.5502183406,
"autogenerated": false,
"ratio": 2.775757575757576,
"c... |
"""Author map
Revision ID: 4e30ce4623dc
Revises: b7b578784a8a
Create Date: 2019-11-17 21:25:50.920593
"""
# revision identifiers, used by Alembic.
revision = "4e30ce4623dc"
down_revision = "b7b578784a8a"
from alembic import op
import sqlalchemy as sa
from sqlalchemy.dialects import postgresql
def upgrade():
#... | {
"repo_name": "DBeath/flask-feedrsub",
"path": "migrations/versions/4e30ce4623dc_author_map.py",
"copies": "1",
"size": "2663",
"license": "mit",
"hash": -8102243609410183000,
"line_mean": 37.5942028986,
"line_max": 82,
"alpha_frac": 0.6308674427,
"autogenerated": false,
"ratio": 3.27552275522755... |
__author__ = 'marakeby'
from pylearn2.training_algorithms.sgd import SGD
from pylearn2.costs.autoencoder import MeanSquaredReconstructionError
from pylearn2.termination_criteria import EpochCounter
from pylearn2.train import Train
class SGDTrainer():
def __init__(self, cost=MeanSquaredReconstructionError()):
... | {
"repo_name": "marakeby/udl",
"path": "udl/pylearni/trainers/SGDTrainer.py",
"copies": "1",
"size": "1224",
"license": "bsd-2-clause",
"hash": 6369250881813370000,
"line_mean": 35,
"line_max": 83,
"alpha_frac": 0.6299019608,
"autogenerated": false,
"ratio": 4.135135135135135,
"config_test": fal... |
__author__ = 'Marc-Andre Gardner'
import datetime
def formatData(name, birth, job, salary):
"""
Rend les parametres d'entree conformes a
certaines specifications.
Retourne aussi un identifiant unique compose
des diverses informations
:param name:
:param birth:
:param job:
:param s... | {
"repo_name": "Quebec-Python/atelierdebug",
"path": "pycharmDemo/demo1.py",
"copies": "1",
"size": "2600",
"license": "mit",
"hash": 8943499240721295000,
"line_mean": 35.1111111111,
"line_max": 98,
"alpha_frac": 0.6661538462,
"autogenerated": false,
"ratio": 3.182374541003672,
"config_test": fa... |
__author__ = 'Marc-Andre Gardner'
import pickle
def getData():
return pickle.load(open('dataprofile.pkl', 'rb'))
class CorrespondanceChecker:
def __init__(self, compList):
self.compData = set(compList)
self.reset()
def reset(self):
self.presenceData = []
self.countFound ... | {
"repo_name": "Quebec-Python/atelierdebug",
"path": "pycharmDemo/demo_profile1.py",
"copies": "1",
"size": "1199",
"license": "mit",
"hash": -3644440604275018000,
"line_mean": 14.7894736842,
"line_max": 81,
"alpha_frac": 0.5846538782,
"autogenerated": false,
"ratio": 3.8184713375796178,
"config... |
__author__ = 'marcel'
import imaplib
import email
import tempfile, xlrd
import keyring
def getAttachmentsInEmail(mail):
if mail.get_content_maintype() != 'multipart':
return
for part in mail.walk():
if part.get_filename() is not None:
return part.get_payload(decode=True)
user = '... | {
"repo_name": "marcelst/metro-menu",
"path": "menu.py",
"copies": "1",
"size": "2240",
"license": "apache-2.0",
"hash": 2421008807649297400,
"line_mean": 32.4328358209,
"line_max": 116,
"alpha_frac": 0.6495535714,
"autogenerated": false,
"ratio": 3.1818181818181817,
"config_test": false,
"has... |
from conans import ConanFile, CMake, tools
import os
import sys
import shutil
class GbenchmarkConan(ConanFile):
name = 'GBenchmark'
version = '1.3.0'
license = 'MIT Licence'
url = 'https://github.com/iblis-ms/conan_gbenchmark'
description = 'Conan.io support for Google Benchmark'
settings = ['... | {
"repo_name": "iblis-ms/conan_gbenchmark",
"path": "conanfile.py",
"copies": "1",
"size": "2604",
"license": "mit",
"hash": 5334343354158772000,
"line_mean": 38.4545454545,
"line_max": 104,
"alpha_frac": 0.6006144393,
"autogenerated": false,
"ratio": 3.364341085271318,
"config_test": false,
"... |
__author__ = 'marcman'
from data.components.player import Player
from data.components.paper import Paper
from pygame.locals import *
from data.stages import Stages
from data.components.infobar import Infobar
class Tilemap(object):
def __init__(self):
self.player = Player()
self.paper = Paper()
... | {
"repo_name": "marcelh89/BowAndArrow-python",
"path": "data/tilemap.py",
"copies": "1",
"size": "1921",
"license": "mit",
"hash": -1044677473069576600,
"line_mean": 28.1212121212,
"line_max": 116,
"alpha_frac": 0.5663716814,
"autogenerated": false,
"ratio": 4.140086206896552,
"config_test": fal... |
__author__ = 'marcman'
from pygame.sprite import *
class Infobar(Sprite):
def __init__(self, score, stage, stagetext, arrowcount):
Sprite.__init__(self)
self.image = pygame.image.load("./resources/graphics/infobar.png")
self.image = pygame.transform.scale(self.image, (800, 30))
se... | {
"repo_name": "marcelh89/BowAndArrow-python",
"path": "data/components/infobar.py",
"copies": "1",
"size": "1229",
"license": "mit",
"hash": -8250505946991616000,
"line_mean": 37.4375,
"line_max": 87,
"alpha_frac": 0.6151342555,
"autogenerated": false,
"ratio": 3.3856749311294765,
"config_test"... |
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