index int64 0 1,000k | blob_id stringlengths 40 40 | code stringlengths 7 10.4M |
|---|---|---|
15,300 | 46748cfd8c946045aef12e881bc9c187cf7925e9 | '''
TestFilters.py
@author: River Allen
@date: July 8, 2010
@requires: pygtk, gobject, cairo
Some hacky code to simulate filters with. It is a bit dirty and undocumented, so be forewarned.
'''
from Data import models
import os
from numpy.random import randn
from Movement import MoveExplorer, Movement
... |
15,301 | 7fc756367b9de2bc3a8bbade1823cada3ca094e9 | # ---------------------------------------------------------
# Outlier detection by commute-time and Euclidean distances
#
# Sercan Taha Ahi, Nov 2011 (tahaahi at gmail dot com)
# ---------------------------------------------------------
import numpy as np
import scipy as Sci
from scipy import linalg
from scipy.cluster... |
15,302 | 596dd3339bfd35752f4eb95862ac77f04b3c8b39 | from __future__ import print_function, division
import numpy as np
import cv2 as cv
import os
from tqdm import tqdm
import time
import face_recognition
from imutils import build_montages
from imutils import paths
import sys
sys.path.append("../")
from baseline import sklearn_cluster
if __name__ == "__main__":
... |
15,303 | 66f4910b81bea3868419f23c4f350db1da673129 | from __future__ import absolute_import
from . import alltests
__all__ = ['alltests']
|
15,304 | f8f9f734abc4d5272dbabea90d9ea1a91fcb778b | /home/openerp/production/extra-addons/training/wizard/wizard_subscription_line_invoice.py |
15,305 | 233dbabd2ef524d0ca47a9026a89ff7c35f1652b | from matplotlib import pyplot as plt
from mpl_toolkits.mplot3d import Axes3D
import seaborn as sns
import numpy as np
import torch
import torch.nn as nn
from tqdm import tqdm
from Gaussian import GaussianDistribution
class BayesianNRegression:
#self.mapping a function could map x->a
#self.Xdim
#self.A... |
15,306 | ba3be201c9dbc888933b1ebb09a32e62b1d22882 | #coding=utf-8
import random
import os
import sys
allNamesList = os.listdir('Image')
selectedNum = len(allNamesList)
posPairNum = selectedNum
negPairNum = 4 * selectedNum
def initializeNotChosenList():
global selectedNum
notChosenList = []
for i in range(selectedNum):
notChosenList.append(i)
... |
15,307 | 08bdaffafdddebd4e68dd8e014f26bd0d8c76ab9 | from django import forms
from Product.models import Product
class StockForm(forms.Form):
name = forms.CharField(label='', required=True, widget=forms.TextInput(attrs={ "placeholder":"Nazwa produktu *", "class":"input_field"}))
qt = forms.IntegerField(label='', required=True, widget=forms.NumberInput(attrs=... |
15,308 | f7cce07c4ab32848a33a3648ae9fc3b32d63d683 | #! /usr/bin/python3
from __future__ import print_function
import sys
import textwrap
import re
import xml.dom.minidom
if len(sys.argv) < 3:
print("Usage: %s help.xml install|live" % sys.argv[0], file=sys.stderr)
sys.exit(1)
if sys.version >= '3':
# Force encoding to UTF-8 even in non-UTF-8 locales.
... |
15,309 | b777ca0432f7c338d8d55816d3fcabaa8425ae96 |
#calss header
class _FROSTBITE():
def __init__(self,):
self.name = "FROSTBITE"
self.definitions = [u'injury to someone caused by severe cold, usually to their toes, fingers, ears, or nose']
self.parents = []
self.childen = []
self.properties = []
self.jsondata = {}
self.specie = 'nouns'
def run(... |
15,310 | ed8744e3092724bc07e74ac22ada410a6ba1ce93 | # -*- coding: utf-8 -*-
class DogLife:
_DOG = ['''
____ ____ ____ ____
( ) | | | | | | | |
( . . ) |____| | | | | |____|
( u ) | | | | | |
(_________) | |____| |____| |
''',
'''
_ _
\ / | | |... |
15,311 | d5e0aa78b195b1bed7649030359ae08eab73831d | '''
File: cityHandler.py
Project: controllers
File Created: 2019-01-28 10:59:03 am
Author: wangwei (wangw11.thu@gmail.com)
-----
Last Modified: 2019-01-28 5:30:54 pm
Modified By: wangwei (wangw11.thu@gmail.com>)
'''
import os
import sys
import time
import json
import requests
import traceback
import tornado.web
import ... |
15,312 | c47ccb0713c75ab5192d78389761df71c681331b | # Day 3
# -----
# Project: Treasure Island
print('''
*******************************************************************************
| | | |
_________|________________.=""_;=.______________|_____________________|_______
| | ,-"_,="" ... |
15,313 | 143ed1565112ead07365551203ee7278f92fb65a | import boto3
s3 = boto3.resource("s3")
conn = boto3.client("s3")
client = boto3.client("batch")
bucketName = "s3logs-manifest-qa-niaid-planx-pla-net"
jobIndex = 0
for obj in conn.list_objects(Bucket=bucketName)["Contents"]:
key = str(obj["Key"])
print "submitting job for " + key
job = "test-" + str(jobIn... |
15,314 | f6df81d9071460d219ad41bfbdbff0ed5b0f8d90 | from api.view.pipeline import *
def setup(app):
pre = '/api/pipelines'
app.router.add_get(pre, get_pipes)
app.router.add_put(pre, create_pipe)
app.router.add_get(pre + '/{id}', getPipelineInfo)
app.router.add_delete(pre + '/{id}', deletePipe)
app.router.add_post(pre + '/{id}/start', startSt... |
15,315 | 44ae05d2d780854484af394757cef32cef6f5cc3 | # Copyright lowRISC contributors.
# Licensed under the Apache License, Version 2.0, see LICENSE for details.
# SPDX-License-Identifier: Apache-2.0
import unittest
from reggen import gen_rtl
class TestFieldCheck(unittest.TestCase):
def test_check_bool(self):
arg = {'field1': "true", 'field2': "false", 'f... |
15,316 | 021b8979890173760539abc6f07266bdbfa96121 |
###
### Goals
###
# Select one main catalog. Checks all other selected catalogs for similar stars
# and creats a joint dataframe with all the gathered parameters
###
### Imports
###
import pickle
import galpy
import numpy as np
import csv
import matplotlib.pyplot as plt
from astroquery.vizier import Vizier
from a... |
15,317 | 96c8396e2ac1f8a5e219a782e1720afd0d8013ae | import socket
import os, os.path
print "Connecting..."
if os.path.exists( "/var/lib/libvirt/qemu/channel/target/Virtual.org.qemu.guest_agent.0" ):
client = socket.socket( socket.AF_UNIX, socket.SOCK_STREAM )
client.connect( "/var/lib/libvirt/qemu/channel/target/Virtual.org.qemu.guest_agent.0" )
print "Ready."
... |
15,318 | 0e792f55a27073a28d892181bb237633b23af542 | import Graffity
import matplotlib.pyplot as pyplot
import numpy
import scipy
import glob
import PIL
import images2gif
import io
fig = pyplot.figure(0)
fig.clear()
ax = fig.add_axes([0.1, 0.1, 0.8, 0.8])
# Change this directory to the location of the .TIF files on your system
directory= '/home/fprakt/Data/Derotator/de... |
15,319 | 4af6806934e51b778b375084c722d42670d57463 | from django import forms
from django.forms import ModelForm
from posts.models import Post, Comment
class AddPostForm(ModelForm):
class Meta:
model = Post
fields = ('body',)
class EditPostForm(ModelForm):
class Meta:
model = Post
fields = ('body',)
class AddCommentForm(Mode... |
15,320 | 553cbbe61c0cc904f903f85a315517fa031011dc | #!/usr/bin/env python
from socket import *
import sys
port = 8089
host = "192.168.1.35" # ip target ,eg ip 's raspberry pi
s = socket(AF_INET, SOCK_DGRAM)
buf = 32768
addr = (host,port)
f1 = open("Testfile.txt",'rb') # Open in binary
f2 = open("picture.npg",'rb') # Open in binary
f3 = open("Testpdf.pdf",'rb') # Ope... |
15,321 | 06599dba17a1eb4adcdf4ff8f5ee90b195aa218b | import numpy as np
import numpy.ma as ma
import matplotlib.pyplot as plt
from netCDF4 import Dataset
from mpl_toolkits.basemap import Basemap
#m = Basemap(projection='cyl',lon_0=180,lat_0=0,urcrnrlat=60)
#parallels = np.arange(-30,30,30)
#meridians = np.arange(0,360,60122
#m.drawcoastlines()
#m.drawparallels(parallel... |
15,322 | c6418df068d3fd2cab5b14002aa33a8a68ad73f9 | # -*- coding: ISO-8859-1 -*-
'''
Task Coach - Your friendly task manager
Copyright (C) 2004-2009 Frank Niessink <frank@niessink.com>
Task Coach is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of... |
15,323 | 3ca60d94e169b817dff7a92ff30308038b8d320c | import numpy as np
import matplotlib
matplotlib.use('TkAgg')
import matplotlib.pyplot as plt
import cv2
from pathfinder import pathfinder
import random
import time
import math
from multiprocessing import Process, Manager
import os
import argparse
from libtiff import TIFF
from osgeo import osr, ogr
# from tqdm import t... |
15,324 | 8fdccc9669fed3fd2f46cd24ffcb92bd992cbd83 | # args02.py
import argparse
parser = argparse.ArgumentParser(description='fixed size arguement list example')
parser.add_argument('size', nargs=2)
args = parser.parse_args('1024 768'.split())
print (args.size)
|
15,325 | 3dbd3037f4f3d7b02314de25a0de25aed778bb37 | ''' Let d(n) be defined as the sum of proper divisors of n (numbers less than n which divide evenly into n).
If d(a) = b and d(b) = a, where a ≠ b, then a and b are an amicable pair and each of a and b are called amicable numbers.
For example, the proper divisors of 220 are 1, 2, 4, 5, 10, 11, 20, 22, 44, 55 and 110; ... |
15,326 | 45930e4881d47e3b9166e5120d0cc5cc79f0bfa8 | from numpy import*
a = array(eval(input()))
b = zeros(37, dtype=int)
for i in range(size(a)):
if a[i]==0:
b[0]+=1
if a[i] == 1:
b[1] += 1
elif a[i] == 2:
b[2] +=1
elif a[i] == 3:
b[3] +=1
elif a[i] == 4:
b[4] +=1
elif a[i] ==5:
b[5] +=1
elif a[i]==6:
b[6]+=1
elif a[i]==7:
b[7]+=1
elif a[i]==8:... |
15,327 | d90b5c38bbe4f8682e073891bd008a67e3694ade | import pygame
import simple_draw as sd
class Button:
def __init__(self, x, y, caption, event=None):
self.x = x
self.y = y
self.caption = caption
self._color1 = sd.COLOR_YELLOW
self._color2 = sd.COLOR_DARK_YELLOW
self._height = 10
self._width = 30
if ... |
15,328 | eadda476e27d70c0779bf4c300ca0ddeea6fb289 | import time
def test_customer_get(iamport):
customer_uid = 'customer_get_cuid_{}'.format(str(time.time()))
try:
iamport.customer_get(customer_uid)
except iamport.ResponseError as e:
assert e.code == 1
assert e.message == u'요청하신 customer_uid({})로 등록된 정보를 찾을 수 없습니다.'.format(customer_... |
15,329 | b7323c57b636e0308f565461f102aa01f3df32ff | #!/usr/bin/python3
'''
Implements the Aho-Corasick automaton
'''
from collections import deque
patterns = list(map(lambda x: x.strip(), open('patterns.txt', 'r')))
letters = [chr(ord('a') + i) for i in range(26)]
class trieNode:
'''
Trie Node data structure
Each trie node contains a boolean indicating whether it is... |
15,330 | cbccfb24c1b7bac4d2475a538b01d97f5e232397 | """ NOTE: Probably do not actually need any of this: equivalent tests have been incorporated into get_lines in
process_methods.py
Contains methods used to "clean up" a lines_list, i.e.
remove lines that are likely not actually there """
import numpy as np
from main import *
# from process_methods import *
import math
... |
15,331 | dbd1041a57c462dfaf38a3c50f61f0f2a2700533 | def mkdir_p(path):
'''
Implements ``mkdir -p``.
'''
import errno
import os
if path:
try:
os.makedirs(path)
except OSError as ex:
if ex.errno == errno.EEXIST:
pass
else:
raise
|
15,332 | b5719fb5981f14de33d5c7873df957aeeba18247 | # This code generates a dictionary with the query id as it's key and it's top 100 documents
# generated by bm25 model, which does not consider the relevance judgement, as it's corresponding value
import pickle
import os
# make the directory if it doesn't exist already
newpath = r'../../Encoded Data Structures (Phase ... |
15,333 | 258132cdb1ee990966835f49adaa6ca4b31dcfe8 | while True:
c0 = int(input("Give me a non-negative and non-zero number: "))
count = 0
while c0 != 1 and c0 != -1:
if c0 % 2 == 0:
c0 = c0 / 2
print(c0)
count += 1
else:
c0 = (3 * c0 + 1)
print(c0)
count ... |
15,334 | 161c09b849186313714948e389b5b1baa32a10fe | import re
def is_Nigerian(args1):
"""
This function checks if a given number is a Nigerian phone number.
Parameters:
args1 (str): the phone number to be checked.
Return
str: a remark that indicates if the phone number is Nigerian or not.
"""
if len(args1) == 0:
... |
15,335 | 725d7a8637908cec164002d856a9c4077e2bf8b7 | import scrapy
from scrapy.crawler import CrawlerProcess
items = []
class AzaniSpider(scrapy.Spider):
name = "azani"
custom_settings = {
'FEED_FORMAT': 'csv',
'FEED_URI': 'User/export.csv'
}
start_urls = [
'https://www.liveyoursport.com/squash/?search_query=&page=1&limit=36&sor... |
15,336 | bd68d3f5448ac5c6684eab1e9cb337f216d9a39d | # --- Day 4: Repose Record ---
from urllib.request import urlopen
from collections import Counter
import pandas as pd
import numpy as np
data = urlopen('https://raw.githubusercontent.com/MarynaLongnickel/RandomStuff/master/Advent%20of%20Code%202018/Day%204/day4.txt')
df = []
# parse each line to extract timestamp, ... |
15,337 | eefced65993a244aa32a1c71abaa6252b35321c3 | #!/usr/bin/env python
from distutils.core import setup, Extension
import os
import subprocess
from os.path import join, exists
# If you are creating a sdist from the full bllipparser code base, you
# may need the swig and flex packages. The Python packages include the
# outputs of these commands so you can build the ... |
15,338 | 8de43d37e06335c301f0035ca83907b782f036de | import torch
from typing import Optional, List
from contextlib import contextmanager, ExitStack
from typing import ContextManager
class PostInitProcessor(type):
def __call__(cls, *args, **kwargs):
obj = type.__call__(cls, *args, **kwargs)
obj.__post__init__()
return obj
@contextmanager
def... |
15,339 | 64331b86df954f27de3f2e0c292da9430c104986 | # Copyright 2009-2010 by Ka-Ping Yee
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in w... |
15,340 | 051109e642c21e999075cb5bdefe2b5d2938f943 | import time
from crawler.message_bus import MessageBus
def test_receive_message():
message_bus = MessageBus('queue-kafka-bootstrap:9092', 'tweet-created')
message_bus.send(b'test_message')
time.sleep(5)
response = message_bus.consume_one()
assert response.value == b'test_message'
|
15,341 | bbf5a119be0854445a482ba9d35f547854687150 | # This files contains your custom actions which can be used to run
# custom Python code.
#
# See this guide on how to implement these action:
# https://rasa.com/docs/rasa/custom-actions
# This is a simple example for a custom action which utters "Hello World!"
from typing import Any, Text, Dict, List
from rasa_sdk ... |
15,342 | efb66a5658891fc45c9eaf39289ea103506f3bb9 | sum = lambda n1, n2: n1 + n2
s1 = sum(10, 20)
print(s1)
people1 = [("c", 30), ("b", 200), ("a", 1000), ("d", 4)]
people2 = sorted(people1, key=lambda t:t[1])
print(people2)
|
15,343 | 8c34e8ea163424a15226e250a91f5218e1a5c4cb | from flask_wtf import FlaskForm
from wtforms import StringField, TextAreaField, BooleanField
from wtforms.validators import DataRequired
class CategoriaForm(FlaskForm):
name = StringField(
'Nome',
validators = [
DataRequired(message="Campo obrigatório")
],
render_kw = {
... |
15,344 | 80f79f386e4145c50f12353ae402fd41ff013870 | from tempfile import gettempdir
from os.path import join
import tempfile
class File:
def __init__(self, filename):
self.filename = filename
def write(self, row):
with open(self.filename, 'a') as f:
f.write(row)
def __add__(self, other):
tfile = tempfile.Name... |
15,345 | 3aba3e721c33f655c34706bee05296226738b3aa | import pandas as pd
import numpy as np
import torch
from pytorch.param_helper import create_dir, create_main_dir, import_config
from active_learning.model_pipeline import TrainPipeline
from active_learning.data_gen import create_data_loader
from active_learning.extract_features import extract_features
import glob
impor... |
15,346 | be7b7addd4a0b387f9ca6da690dc443cbec53342 | # coding: utf-8
from flask import (Blueprint, request, url_for, redirect,
render_template, flash, json)
from tango import db, cache
from tango.ui.tables import make_table
from tango.models import Setting, DictCode, Category
from tango.ui import navbar
from nodes.models import NodeHost
from nodes.t... |
15,347 | 3c8d0e908b7737d3a186b948a629e5887203c5ed | # -*- coding: utf-8 -*-
"""
Created on Thu Sep 19 15:07:13 2019
@author: agnib
"""
country = ('India','America','Mexico','Bangladesh')
capital = ('Delhi NCR','Washington DC','Mexico City','Dhaka')
zipped = tuple(zip(country,capital))
print(zipped) |
15,348 | 15417fe2e520de87a75e13290ac0f2a5d5fbc055 | # -*- coding: utf-8 -*-
"""
Created on Fri Dec 29 14:36:50 2017
@author: Kim
"""
import os
import glob
import shutil as sh
import sys
path=sys.path[0]
for line in open("%s/Parameters.txt" %path, "r"):
if line.startswith("Directory"):
directory=line.split(":")[1].strip()
if line.starts... |
15,349 | 3551d1d6ff2169079383bc7abe5bea0fc6bb1f29 | #! /usr/bin/env python3
# -*- coding: utf-8 -*-
# Source: https://leetcode.com/problems/can-make-arithmetic-progression-from-sequence/
# Author: Miao Zhang
# Date: 2021-05-12
class Solution:
def canMakeArithmeticProgression(self, arr: List[int]) -> bool:
arr.sort()
diff = arr[1] - arr[0]
... |
15,350 | 5001f7c8c953ffc9c6162bc5172b94e87b68244f | import joblib
import pickle
import numpy as np
from sklearn.neural_network import MLPClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from keras.models import Sequential
from keras.layers import Dense
from keras.utils import to_categorical
from keras.callbacks i... |
15,351 | 7156d9612b9bc4db72c86ae4c812f37e96042ce1 | # -*- coding: utf-8 -*-
"""
Created on Sun Nov 24 13:52:24 2019
@author: Eric
"""
import os
import io
import csv
import pandas as pd
import numpy as np
import psycopg2
from psycopg2 import sql
from sys import exit
from sqlalchemy import create_engine
# list of states to explore
states = ['tennessee','west_virginia','... |
15,352 | e7c433d1b38141eea5e71e4c84eeb365686d0a1d | # Copyright (C) Rocket Software 1993-2015
hello_name = input ('Type your name: ')
print("Hello", hello_name)
|
15,353 | 69e655b1b5d7aaf04467f9f4308beda775283831 |
# check with Geert:
# Correct files, and correct order for test images
# check that JC .names correspond to the order of the test set
from models.fixedLDA import fixedLDA
from evaluation import metrics
from gibbs_input import process_gibbs_input as gibbs_input
nominal_alpha = 0.35
n_vis_words = 750
# '{0}, {1}, {2}... |
15,354 | fb67ae4d7799fc36cf2ff3dcd3b58f7d2d2c25f4 | from django.db import models
# Create your models here.
class Member(models.Model):
"""メンバー"""
name = models.CharField('name', max_length=255)
slackName = models.CharField('slack_name', max_length=255)
graduateDate = models.DateTimeField('graduate_date')
def __str__(self):
return self.name |
15,355 | 499f83e4996885a6dc3729d6a69442152cc900a8 | import time
import numpy as np
from scipy import sparse
from sklearn.preprocessing import normalize
import util, imageio, pickle, frame, scipy
from util import *
class Frame:
def __init__(self):
util.raiseNotDefined()
def load_sketch(self, sketch):
self.sketch = sketch
def load_gray(self... |
15,356 | e88793aa8b448fc1d21eb5d0865849b73f8f086a | """Logistic regression on the basic data"""
import numpy as np
import mdp
from sklearn import cross_validation
from sklearn import linear_model
import sys
import load_data
from base import calc_score, split_data
from logistic_base_model import Logistic_Base_Model, prepare_params
class Logistic_In... |
15,357 | 36ded3f4cb5cb4f1f5aef8442fb15a26bb3c1955 | import common
year_common = common.import_year_common(2019)
tape = common.extract_numbers(common.read_file('2019/25/data.txt'))
moves = [
'south',
'take monolith',
'east',
'take asterisk',
'west',
'north',
# 'west',
# 'take coin',
# 'north',
# 'east',
# 'take astronaut ice ... |
15,358 | 323d7e2938e9fba78a04e36a8780ab71cda9d9c2 | # Copyright 2018 ZTE Corporation. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required ... |
15,359 | 4de14486c81bc41a4129de1eb8f4de11e7bbdf45 | # -*- coding: utf-8 -*-
import re
import scrapy
from scrapy.http import Request
from urllib import parse # python2使用 import urlparse
from MovieSpider.settings import SQL_DATETIME_FORMAT, SQL_DATE_FORMAT
from datetime import datetime
from MovieSpider.items import Ygdy8Item, MovieItemLoader
from MovieSpider.utils.commo... |
15,360 | 164ff80648fce136f5b724c52bfa277ce9591530 | def fun(a, b, c, d, e, g):
return print(a + " " + b + " " + c + " " + d + " " + e + " " + g)
print(fun(a = input("введите имя "), b = input("введите фамилию "), c = input("введите город "), d = input("введите год рождения "), e = input("введите email "), g = input("введите номер телеыона ")))
|
15,361 | 412a5e5c854b5f5f8fb417c801021990abc5cc2e | import cv2
import numpy as np
image = cv2.imread('./black-background-white-font-believe-in-yourself-460x460.jpg',0)
cv2.imshow("Original",image)
cv2.waitKey(0)
kernel = np.ones((5,5),np.uint8)
# Erosion
erosion = cv2.erode(image,kernel,iterations=1)
cv2.imshow("Erosion",erosion)
cv2.waitKey(0)
# Dilation
dilation ... |
15,362 | e5db1a9d7307f3ce66f47d223142cd46ca32a281 | # import numpy as np
import caffe
import tables
import os
from os import walk
import sys
import timeit
import numpy as np
proto_txt = 'ssdh.prototxt'
caffe_model = 'ssdh.caffemodel'
image = '/home/angle/hackathon/query/img.jpg'
#Function to generate hash codes, given the model and path to images
def ann_images(id):
... |
15,363 | 93a76129e863ad178116a839215c7a41868c6733 | # -*- coding: utf-8 -*-
from django.core.management.base import BaseCommand
from apps.shelf.models import (Book, Keyword)
class Command(BaseCommand):
def handle(self, *args, **opts):
books = Book.objects.filter(for_random=None)
for book in books:
book.set_for_random()
pri... |
15,364 | 2272bc4303bfdc91bc7e23e11c2652d97aefc0d1 | #!/usr/bin/python
import alsaaudio as audio
import time
import os
import struct
import sys
audioformat=audio.PCM_FORMAT_S16_LE
# second arg to PCM can be ,audio.PCM_NONBLOCK
periodsize=1024
rate=44100
indev='hw:1,0'
outdev='hw:1,0'
skip=3
def fix(d):
"""Turn mono data into stereo"""
line=d
n=2
return ... |
15,365 | ad4a8d7460853942f3ab8fb570042725095a4cff | import sys
import os
sys.path.append( os.path.dirname( os.path.dirname( os.path.abspath(__file__) ) ) )
import numpy as np
import configargparse
import skvideo.io
from tqdm import tqdm
import time
import matplotlib.pyplot as plt
import pickle
import torch
import torch.nn as nn
import torch.nn.functional as F
from t... |
15,366 | 34c888ff27db5bd95f7f41bf72a17e201aa0c729 | # vim: set fileencoding=utf-8 :
"""Test L{gbp.command_wrappers.Command}'s tarball unpack"""
import unittest
from gbp.command_wrappers import Command, CommandExecFailed
from . testutils import GbpLogTester, patch_popen
class TestCommandWrapperFailures(unittest.TestCase, GbpLogTester):
def setUp(self):
se... |
15,367 | 969b67f628708f946bfc55855c57e39099204024 | import numpy as np
import cv2
import random
from CNNUtil import paths
LENGTH = 180
def findRegion(img):
gray = cv2.cvtColor(img, cv2.COLOR_RGB2GRAY)
rct, thr = cv2.threshold(gray, 1, 255, cv2.THRESH_BINARY)
contours, hierachy = cv2.findContours(thr, cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)
x, y, w, h =... |
15,368 | aebd28a1282286826338a7d77d5652366462ebbf | /home/durgesh/miniconda3/lib/python3.6/posixpath.py |
15,369 | cb80c72a8feb3f4277438c2738733dbcd7869966 | import os
import re
i = 0
start = 'bbc'
names = os.listdir(start)
for name in names:
path_to_file = os.path.join(start, name)
if os.path.isdir(path_to_file):
match = re.search('[a-z]+', name)
match2 = re.search('[а-я]+', name)
if match and match2:
print(name)
... |
15,370 | cb58cc6b5a05a4807eec1e7c6410065a58bd8c7c | import pickle
from collections import defaultdict
from collections import Counter
from heapq import nlargest
def label_ne(ne,post_bi_un,pre_bi_un,post_si_un,pre_si_un, main_cat, decision_list):
# check which main cat it belongs to
candidate_tags = []
if main_cat == "LOC":
# keys are every subcat and their values
... |
15,371 | eb9df1a929585e8dce0f7f6d38d6b4e22e081c8d | import speech_recognition as sr
from gtts import gTTS
from playsound import playsound
from datetime import datetime
from googletrans import LANGUAGES, Translator
import os
# Code For Speech Output
def speak(text, lang='en'):
tts = gTTS(text, lang=lang)
filename=f'voice.mp3'
tts.save(filename)
playsound... |
15,372 | d73b0d24e6c301977ebcbc8afe941ab2a92dca0a |
tup=('a','b','c','d','d')
print(tup.count('d'))
print(tup.index('d')) |
15,373 | b0f0769f68fb5012b54d60affab05c0566c6e5e6 | #application of linked lists
from LinkedListPKG import LinkedList;
myLL = LinkedList();
myLL.insertStart(11);
myLL.insertStart(22);
myLL.insertStart(33);
#myLL.insertEnd(99);
myLL.traverse();
print(myLL.size()) |
15,374 | 6377569c1d8b0671d8c7071e422be18d78be195e | from django.db import models
import datetime
class GeoPhoto(models.Model):
title = models.CharField(max_length=250)
latitude=models.FloatField()
longitude=models.FloatField()
photo_url = models.CharField(max_length=500, unique=True)
photo_thumbnail_url = models.CharField(max_length=500)
date_ad... |
15,375 | 2618a507ee9afbde1316caeba300157ebcec5a1c | '''Program to print the greater number between two number
Developer:Aakash
Date:21.02.2020
--------------------------------'''
a=int(input("Enter any number="))
b=int(input("Enter any other number="))
if(a>b):
print("The First number is greater i.e.,",a)
else:
print("The Second number is greater i.e.,",b)
|
15,376 | b1b9bf08309d4ebfffaf61a1c3096166fdbc88a2 | sentence = 'xaxax'
sentence = sentence.lower()
score = 0
def check_palindrome(segment):
reversed = segment[::-1]
return reversed == segment
# for begin in range(len(sentence)-2):
# for stop in range(3, len(sentence)+1):
# end = begin + stop
# if end > len(sentence):
# continu... |
15,377 | 63771847f0a23e6bcc98fd372f8742a0b608754b | # Embedded file name: scripts/client/ArenaHelpers/GameModes/AreaConquest/ACGameModeClient.py
import BigWorld
import Math
from ACSector import ACSector
from ArenaHelpers.GameModes import GameModeClient
from ArenaHelpers.GameModes.AreaConquest import ACSectorClient
from ArenaHelpers.GameModes.AreaConquest import AC_EVENT... |
15,378 | 6c656e482e11e043f17d92404eafe4dd920c3236 | def ism(x):
if x>='a' and x<='z':
return True
return False
def isM(x):
if x>='A' and x<='Z':
return True
return False
def rot13( string ):
for x in range(len(string)):
if ism(string[x]):
if chr(ord(string[x])+13) <= 'z':
string[x]=chr(ord(string... |
15,379 | 7f5d2436659c47db04c431965e48751e4840a970 | nome = input('Digite seu nome: ')
print('Olá,', nome, 'bom dia!')
primeiro_numero = int(input('Digite o primeiro número: '))
segundo_numero = int(input('Digite o segundo número: '))
soma = primeiro_numero + segundo_numero
texto = 'O resultado da soma é:'
print(texto, soma)
|
15,380 | 3bf8d290780cf30b5d311af5fb9aefaea0a099bb | import itertools
def app():
n = 1000
b = 1
m = 0
for i in itertools.count():
if len(str(m)) > n:
raise RuntimeError("Not found")
elif len(str(m)) == n:
return str(i)
b, m = m, b + m
if __name__ == "__main__":
print(app())
|
15,381 | 54508d6dfb471d6d6b4e04dffc405a8cc4b153fb | import json
from . import TrafficResponseObject
class GoogleResponseObject(TrafficResponseObject.TrafficResponse):
json_data = ""
duration = 0
distance = 0
def __init__(self, json_data=""):
print(json_data)
self.json_data = json_data
parsedData = json.loads(json_data)... |
15,382 | 90b6c7763b199cd7098031d3728ab6439890deec | from selenium import webdriver
from selenium.webdriver.common.by import By
driver = webdriver.Chrome('/usr/local/bin/chromedriver')
driver.get('https://www.convertworld.com/hu/homerseklet/celsius.html')
deg = input("Hőmérséklet=")
print(deg)
xpath = "//input[@name='amount']"
print(xpath)
driver.find_element(By.XPAT... |
15,383 | b82b9047054ff367cb32830245ccaf686f5136c7 | #!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Generated from FHIR 4.0.0-a53ec6ee1b on 2019-05-07.
# 2019, SMART Health IT.
import os
import io
import unittest
import json
from . import eventdefinition
from .fhirdate import FHIRDate
class EventDefinitionTests(unittest.TestCase):
def instantiate_from(self, ... |
15,384 | 2ccf7f6d58e70c70203f57c6580abfecb034d1ce | # -*- coding: UTF-8 -*-
# 工具模块
import os
from datetime import datetime
import uuid
import PIL
from PIL import Image
from werkzeug.utils import secure_filename
ALLOWED_IMAGE_EXTENSIONS = set(['png','jpg','jpeg','gif','bmp'])
ALLOWED_VIDEO_EXTENSIONS = set(['mp4','avi'])
ALLOWED_AUDIO_EXTENSIONS = set(['mp3','m4a'])
... |
15,385 | fca01e325c7ff9602d9a4eab68b944e01314da00 | """
Event message representation
"""
from .core import AbstractMessage
from .core import MessageType
class EventMesasge(AbstractMessage):
"""A string notification that will appear in the web app
and will express the overall state of the job."""
def __init__(self, message):
self._message = messag... |
15,386 | 0471fddeacb48ae69fbb3d3d9be8b3e79f2b382d | '''
Created on 2017年1月3日
@author: wujianxin
'''
import re
import requests
import urllib.request
class QSBK:
def __init__(self):
self.pageIndex = 1
self.user_agent = 'Mozilla/4.0 (compatible; MSIE 5.5; Windows NT)'
self.headers = {'User-Agent': self.user_agent}
self.stories = []
... |
15,387 | 37b34851f7831ed2657d4800e405bb6efc5acc7f | #You will be given an array with 5 numbers.
#The first 2 numbers represent a range, and the next two numbers represent another range.
#The final number in the array is X.
#The goal of your program is to determine if both ranges overlap by at least X numbers.
#For example, in the array [4, 10, 2, 6, 3] the ranges 4 ... |
15,388 | ba49afe13f8e149ccb95ee15674eaf102ec2b936 | from src.definitions import Set
from .BaseViewerScene import BaseViewerScene
class SendersViewerScene(BaseViewerScene):
def __init__(self, session, redis):
super().__init__()
self.session = session
self.redis = redis
def fetch(self, start, end):
senders = self.redis.zrange(Se... |
15,389 | 8628e29a5798e85e9bef24c36071fad47e34fbac | # Generated by Django 3.1.2 on 2020-10-08 19:21
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
import provider.models
class Migration(migrations.Migration):
initial = True
dependencies = [
migrations.swappable_dependency(settings.AUTH_USER... |
15,390 | 77f61da573c98810b5aad69a4258d20a127a18f5 | import enum
class NAME_TYPE(enum.Enum):
UNKNOWN = 0 #(0), -- Name type not known
PRINCIPAL = 1 #(1), -- Just the name of the principal as in
SRV_INST = 2 #(2), -- Service and other unique instance (krbtgt)
SRV_HST = 3 #(3), -- Service with host name as instance
SRV_XHST = 4 # (4), -- Service w... |
15,391 | 64f37f99424d3006b292cf7db7146d1cfcccebf9 | def chek(k,li):
global turn,result
mid = (len(li)-1)//2
if li[mid] == k:
result += 1
return
else:
left = li[:mid]
right = li[mid+1:]
if k < li[mid]:
turn += 1
chek(k,left)
elif k > li[mid]:
turn -= 1
chek(k,r... |
15,392 | 646afc9465e77a32ba248f84e76476df4345061c | import pygame
import math
#Display
pygame.init()
WIDTH,HEIGHT = 800,500
win = pygame.display.set_mode((WIDTH,HEIGHT))
pygame.display.set_caption("Hangman")
#adding the images
images = []
for i in range(7):
image = pygame.image.load("hangman"+ str(i)+".png")
images.append(image)
#button letters location
RADIUS ... |
15,393 | 3a59d631b3c3d35e08659929bbdcbde424ee02b5 | import bpy
import logging
import os
import json
from bpy_extras.io_utils import ExportHelper, ImportHelper
from bpy.app.handlers import persistent
import traceback
import time
import ctypes
import sys
import platform
import random
import math
import subprocess
import datetime
from bpy.props import EnumProperty, StringP... |
15,394 | 00a15e283f26d6c724d280d0e37a2d906f14f3f5 | SCALE_FACTOR = 0.1
FEATHER_AMOUNT = 11
COLOUR_CORRECT_BLUR_FRAC = 0.6
FACE_POINTS = list(range(17, 68))
MOUTH_POINTS = list(range(48, 61))
RIGHT_BROW_POINTS = list(range(17, 22))
LEFT_BROW_POINTS = list(range(22, 27))
RIGHT_EYE_POINTS = list(range(36, 42))
LEFT_EYE_POINTS = list(range(42, 48))
NOSE_POINTS = list(rang... |
15,395 | 1a1c3b9aa5e3d7ccba09918d7fa74e2371398870 | import unittest
from unittest.mock import patch
from infra.controller_factory import ControllerFactory
from config.game import Game
class GameTest(unittest.TestCase):
def test_if_this_class_is_singleton(self):
instance_one = Game()
instance_two = Game()
self.assertEqual(instance_one, instan... |
15,396 | 56ad3ef5a1e191d5fe3bb051b31a69cb9044d632 | import sys
import numpy as np
from collections import defaultdict
sr = lambda: sys.stdin.readline().rstrip()
ir = lambda: int(sr())
lr = lambda: list(map(int, sr().split()))
N, K = lr()
A = np.array([0] + lr())
A = (A-1) % K
Acum = A.cumsum() % K
counter = defaultdict(int)
answer = 0
for i, x in enumerate(Acum):
... |
15,397 | cd6808f272fb20848b38fdb96c85759db0bb39c3 | from pexpect.popen_spawn import PopenSpawn
import pexpect
from datetime import datetime
import requests
import json
import urllib3
import os
import subprocess
import time
urllib3.disable_warnings()
import sys
import re
import ipv6linklocalforwarding
import signal
import tempfile
class QuantaSkylake(object):
def __... |
15,398 | 0321ed32197d1a1623699d7f708c73371f10beb5 | import argparse
import json
import os
import warnings
import datetime
class GatherOptions():
def __init__(self):
parser = argparse.ArgumentParser(description="Scoring thinking game")
current_time = datetime.datetime.now()
parser.add_argument("--save_dir", default=("Thinking\... |
15,399 | 8397fb9f846139dc5b19cc9d43f01afad0a26207 | #Задача 4. Вариант 11.
#Напишите программу, которая выводит имя, под которым скрывается Йоханнес Бруфельдт. Дополнительно необходимо вывести область интересов указанной личности, место рождения, годы рождения и смерти (если человек умер), вычислить возраст на данный момент (или момент смерти). Для хранения всех необхо... |
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