text stringlengths 8 6.05M |
|---|
import numpy as np
from scipy import special
# import matplotlib.pyplot as plt
# 生成(3,3)形状的数值在[-0.5,0.5]之间的矩阵
array = np.random.rand(3,3) - 0.5
print(array)
l = [[1,2],[3,4]]
print("origin l is {0}".format(l))
ll = np.array(l, ndmin=2)
print(ll) #[[1 2]
# [3 4]]
print(ll.T)
class Network(object):
def __init__(se... |
from selenium.webdriver.support.ui import WebDriverWait
from time import sleep
import os
import time
from selenium.webdriver.common.by import By
class Page:
def __init__(self, driver):
self.driver = driver
def find_element(self, *loc): # 查找单个元素
try:
WebDriverWait(self.driver... |
#import sys
#input = sys.stdin.readline
def main():
N = int( input())
T = input()
if N == 1:
if T == "0":
print(10**10)
elif T == "1":
print(2*10**10)
else:
print(0)
return
if N == 2:
if T == "11" or T == "10":
print... |
"""
Module designed to align SRT core statistics obtained from receiver
and sender as well as tshark datasets if necessary.
"""
import pathlib
import pandas as pd
from tcpdump_processing.convert import convert_to_csv
from tcpdump_processing.extract_packets import extract_srt_packets, extract_umsg_handshake_packets, e... |
import sublime
from ._compat.typing import Optional, List, TypeVar, Collection
from .flags import RegionOption
__all__ = ['RegionManager']
T = TypeVar('T')
def _coalesce(*values: Optional[T]) -> T:
return next(value for value in values if value is not None)
class RegionManager:
"""A manager for regions... |
#! /usr/bin/env python
# Core imports
#
#Our test script which we call the appropriate utility from.
##This program forms the main testing stream for calling test functions from the utilities class.
import time
import ev3dev.ev3 as ev3
import os
import thread
# Local Imports
import utilities as U
import openLoopContro... |
from stdmodandoption import *
import plot_setup as PS
import collections
from gasdenThis_out import gasdenThis_out
import matplotlib.lines as mlines
keystore=['plot1','plot2','plot3','plot4','plot5','plot6']
def gasdenThistestinput(subdict):
startno=subdict['startno']
Nsnap=subdict['Nsnap']
snapsep=subdict... |
# Generated by Django 3.1.4 on 2021-01-12 05:11
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('order', '0005_auto_20210112_0511'),
]
operations = [
migrations.AlterField(
model_name='order',... |
'''
Created on 28Oct.,2016
@author: Alex Ip
'''
import os
import dateutil.parser
from datetime import datetime
from dateutil import tz
import pytz
import logging
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG) # Initial logging level for this module
def read_iso_datetime_strin... |
import speech_recognition as sr
from os import path
# obtain path to "english.wav" in the same folder as this script
AUDIO_FILE = path.join(path.dirname(path.realpath(__file__)), "english.wav")
# use the audio file as the audio source
r = sr.Recognizer()
with sr.AudioFile(AUDIO_FILE) as source:
audio = r.record(... |
#!/usr/bin/env python
from sys import argv
import numpy as np
from skimage.filters import gaussian
from skimage.segmentation import active_contour
from skimage import io
# parse input
# argv[1] - images path like "./images/"
# argv[2] - input image name (before processed)
# argv[3} - output image name (after process... |
#!/usr/bin/python
#Example of P control
from dxl_util import *
from _config import *
import time
import math
import numpy as np
#Setup the device
dxl= TDynamixel1(DXL_TYPE,dev=DEV)
dxl.Id= DXL_ID
dxl.Baudrate= BAUDRATE
dxl.Setup()
dxl.EnableTorque()
#Move to initial position
p_start= 2100
dxl.MoveTo(p_start)
time.sl... |
from django.shortcuts import render
from account.models import Account
def home_screen_view(request):
context = {}
context['accounts'] = Account.objects.all()
return render(request,'personal/home.html',context)#render(request,reference,context//data or variables)""" |
from os import path
from codecs import encode, decode
from pymongo import MongoClient
conn = MongoClient()
db = conn.foo
with open("groceries.csv") as f:
for line in f:
text = []
for word in line.strip().split(','):
word = decode(word.strip(),'latin2','ignore')
text.append(word)
d = {}
... |
from django.db import transaction
def disable_triggers(func, using=None):
"""
Disables all triggers before executing the function.
Useful when performing bulk operations which don't
require auditing to be performed.
"""
def _inner(*args, **kwargs):
connection = transaction.get_connecti... |
import os
def main():
for filename in os.listdir('.'):
if not filename.endswith('.txt'):
continue
with open(filename, 'r') as f_in, \
open(filename + '.processed', 'w') as f_out:
items = {'group:' + s.strip().split(' ', 1)[0] for s in f_in}
f_out... |
#!/usr/bin/python3
def safe_print_integer_err(value):
""" Print an integer
"""
try:
print("{:d}".format(value))
return True
except (TypeError, ValueError) as exc:
print('Exception:', exc, file=__import__('sys').stderr)
return False
|
from django.shortcuts import render
from rest_framework import viewsets
from .serializers import GovTableSerializer
from .models import GovTable
# Create your views here.
class GovTableView(viewsets.ModelViewSet):
serializer_class = GovTableSerializer
queryset = GovTable.objects.all() |
import random
from gameData import data
#print two random person initially followers store in variable
dict_1 = random.choice(data)
dict_1_follower_count = dict_1["follower_count"]
is_game_over = False
current_score = 0
while not is_game_over:
dict_2 = random.choice(data)
dict_2_follower_count = dict_2["follo... |
class Solution:
def toHex(self, num):
"""
:type num: int
:rtype: str
"""
if num < 0:
num += 2**32
remainders = []
while num//16 != 0:
remainder = num%16
if remainder < 10:
remainders.append(str(remainder))
... |
import hashlib
import hmac
import logging
from datetime import datetime, timezone
from operator import attrgetter
from secrets import compare_digest
from typing import Dict
from pydantic import BaseModel, Protocol, ValidationError, validator
from sqlalchemy import distinct, select
from sqlalchemy.dialects.postgresql i... |
try:
from .__version__ import __version__
except ImportError:
VERSION_STRING = ''
DEVELOPMENT_VERSION = True
else:
VERSION_STRING = ' v{}'.format(__version__)
DEVELOPMENT_VERSION = False
from shutil import move, copytree, copy, rmtree, get_terminal_size
from os import makedirs as make_directory, l... |
from chapter3_case_study.Appartment import Appartment
from chapter3_case_study.House import House
from chapter3_case_study.Purchase import Rental, Purchase
class HouseRental(Rental, House):
def prompt_init():
init = House.prompt_init()
init.update(Rental.prompt_init())
return init
pro... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
"""
Arbitrary precision 1-dimensional likelihood framework.
Framework to estimate the parameters and the variance of the parameters
of a given fitting_function one dimensional probability density function,
by the method of the maximum likelihood.
The fitting_function has two ... |
import pandas as pd
from sqlalchemy import create_engine
education = pd.read_csv("education/API_SE.XPD.TOTL.GD.ZS_DS2_en_v2.csv", skiprows=4)
education.drop(education.columns[[-1, 0, 2, 3]], axis=1, inplace=True)
cashSurplusDeficit = pd.read_csv("cash surplus/deficit/API_GC.BAL.CASH.GD.ZS_DS2_en_v2.csv", skiprows=4)
... |
import os, time, random
# Constants
alpha_coords = [ 'A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I'] # printataan ruudukon reunalle ja muutetaan input: a -> 0 jne
# Variables
misses = []
hits = []
ships = []
occupied = []
gameover = False
debug = False
# Classes
class Ship:
def __i... |
import argparse
from logger import L
class Parser(argparse.ArgumentParser):
def exit(self, status=0, message=None):
L.debug("exit")
pass
|
#import sys
#input = sys.stdin.readline
Q = 10**9+7
def main():
N = int( input())
T = list( map( int, input().split()))
A = list( map( int, input().split()))
ANS = [0]*N
now = 0
AC = [False]*N
for i in range(N):
if now < T[i]:
ANS[i] = T[i]
AC[i] = True
... |
#minimum cut palindrome
def splitString(s):
if s == '' or isPalindrome(s):
print(s)
return 0
cuts = float('inf')
#cuts = min(1 + splitString(s[0 : 1]) + splitString(s[1: ]) , cuts)
for i in range(len(s)):
#pass
#cuts = 1 + ... |
#check the input
while True:
credit_card = input("Number: ")
if (str.isdecimal(credit_card)):
break
digits = ""
# Multiply every other digit by 2, starting with the number’s second-to-last digit
for i in range(len(credit_card) -2, -1, -2):
digits += str(int(credit_card[i]) * 2)
#add products’ dig... |
import os
import time
import torch
import torch.nn as nn
import torch.nn.functional as F
from pykeops.torch import LazyTensor
use_cuda = torch.cuda.is_available()
dtype = 'float32' if use_cuda else 'float64'
torchtype = {'float32': torch.float32, 'float64': torch.float64}
def save_model(decoder, name, date, model_pat... |
# ----------------------------------------------------------------------------
# Copyright 2014 Nervana Systems Inc.
# 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.o... |
import cv2 as cv
cap = cv.VideoCapture(0)
if cap.isOpened() == False:
print("카메라를 열 수 없습니다.")
exit(1)
while(True):
ret, img_frame = cap.read()
if ret == False:
print("캡쳐 실패")
break
# hsv 색공간으로 변환
img_hsv = cv.cvtColor(img_frame, cv.COLOR_BGR2HSV)
# 파란색 기준값을 120으로 상한, 하한값 ... |
#String encoding decoding
def encode(arr , sep):
n = len(arr)
res = ''
'hello world'
for s in arr:
res += s + sep
res = res[0 : len(res) - 1]
return res
def decode(s , sep , res):
print(s)
if sep not in s:
res.... |
import re
class ResolvedIssues(object):
def __init__(self):
self.__alg_isc_name = "ISC -> Resolved Issues"
self.__alg_csv_name = "CSV -> Resolved Issues"
def list(self):
return [self.__alg_isc_name, self.__alg_csv_name]
def process(self, alg_name, input):
i = self.list().i... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Thu Oct 7 18:37:05 2021
@author: janeyalex
"""
import numpy as np
from scipy import stats
import plotly.graph_objs as go
import plotly.express as px
import pandas as pd
import collections
import urllib.request
from string import punctuation
def words_of... |
"""
Borrowed from HPLFlowNet
Date: May 2020
@inproceedings{HPLFlowNet,
title={HPLFlowNet: Hierarchical Permutohedral Lattice FlowNet for
Scene Flow Estimation on Large-scale Point Clouds},
author={Gu, Xiuye and Wang, Yijie and Wu, Chongruo and Lee, Yong Jae and Wang, Panqu},
booktitle={Computer Vision and Patter... |
def factorial():
f, n = 1, 1
while True: # First iteration:
yield f # yield 1 to start with and then
f, n = f * n, n+1 # f will now be 1, and n will be 2, ...
for index, factorial_number in zip(range(51), factorial()):
print('{i:3}!= {f:65}'.format(i=index, f=factori... |
# -*- coding: utf-8 -*-
import math
class Model():
def __init__(self, corpus):
self.corpus = corpus
self.movie_num = len(self.corpus['movie_title'])
class TermSelection(Model):
def __init__(self, corpus, w2v_model):
super().__init__(corpus)
self.w2v_model = w2v_model
self.word_info = self.corpus['word_inf... |
#!/usr/bin/env python
import json
import string
def compass():
from selenium import webdriver
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
adblock = webdriver.FirefoxProfile()
... |
#!/usr/bin/python
import ldap
import sys
import uuid
import hashlib
import binascii
# MySQL functions
import MySQLdb
# Function to generate the salt via MySQL
def gen_mysql_salt(conn_host,conn_usr,conn_pwd,conn_db):
try:
# Open database connection
db = MySQLdb.connect(conn_host,conn_usr,conn_pwd,conn... |
#!/usr/bin/python
from programs import trap
from math import exp as e, sin, cos, sqrt, pi, log as ln
print("Problem 1a -- m = 16")
f = lambda x: e(x**2)
print(trap(f, 16, 0, 1))
print("Problem 1a -- m = 32")
print(trap(f, 32, 0, 1))
print("Problem 1b -- m = 16")
f = lambda x: sin(x**2)
print(trap(f, 16, 0, sqrt(pi)... |
import torch
from generateDictionary import loadStateDict
model_file = '../../EdgePixel_Results/Experiments/ResultBlock/modelBlock_test.pth.tar'
modelBlock_state = torch.load(model_file)
modelBlock = loadStateDict(modelBlock_state) |
# -*- coding: utf-8 -*-
import pytest, time
from os.path import join
from airtest_selenium.proxy import WebChrome
from selenium.webdriver.chrome.options import Options
from utils.operation_portal import portal_attachment
from utils.operation_path import get_picture_path
from utils.operation_log import Loggings
from u... |
# SURF and SIFT is only supported in older version
# pip install opencv-contrib-python==3.4.2.17
# pip install opencv-python==3.4.2.17
import numpy as np
import glob,os,sys,time
import cv2 as cv
from scipy.spatial.transform import Rotation as R
class SFM_Params:
def __init__(self,img_dir,n_images=None,maxFeatures... |
#!/usr/bin/python
# -*- coding: UTF-8 -*-
class Sentence(object):
def __init__(self):
self.id = ''
self.languages = []
def get_id(self):
return self.id
def set_id(self, id):
self.id = id
def get_languages(self):
return self.languages
def set_languages(s... |
from channels.routing import ChannelNameRouter, ProtocolTypeRouter, URLRouter
from django.conf.urls import url
from .consumers import ClientConsumer, MainConsumer, WorkerConsumer
from .protocol import CHANNEL_MAIN, CHANNEL_WORKER
application = ProtocolTypeRouter(
{
# Client-facing consumers.
'webs... |
class Solution(object):
def numSpecialEquivGroups(self, A):
"""
:type A: List[str]
:rtype: int
"""
from collections import defaultdict
res = []
for a in A:
a_len = len(a)
odd = defaultdict(int)
even = defaultdict(int)
... |
#!/usr/bin/env python
#
# Copyright 2013 Google Inc. 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 requir... |
from sklearn.model_selection import StratifiedKFold
import pandas as pd
skf = StratifiedKFold(n_splits=10, random_state=48, shuffle=True)
def CV(predictors,target):
for fold, (train_index, test_index) in enumerate(skf.split(predictors, target)):
x_train, x_valid = pd.DataFrame(predictors.iloc[train_i... |
# -*- coding:UTF-8 -*-
from rest_framework import serializers
from . import models
from delivery.models import InitDwdOrder
class NotifyOrderSerializer(serializers.ModelSerializer):
class Meta:
fields="__all__"
model=models.NotifyOrderModel
class InitDwdOrderSerializer(serializers.ModelSerializ... |
import unittest
from time import sleep
from src.librecatastro.scrapping.parsers.parser_xml import ParserXML
class ParserXMLTests(unittest.TestCase):
def test_search_by_coordinates_creates_and_stores_in_elasticsearch(self):
cadaster_list = ParserXML.process_search_by_coordinates(-3.47600944027389, 40.537... |
from rest_framework import serializers
from user.models import User
class UserDetailSerializer(serializers.ModelSerializer):
"""
Serializer for User Model
"""
password = serializers.CharField(
style= {'input_type':'password'}
)
class Meta:
model = User
fields = ('id', ... |
#!/usr/bin/python
import sys
import operator
oldKey = None
maxCount = 0
hotCount = 10 # this can be set to 100 for checking if 100 replies/ comments are there, I am just using 10 for ease
# Loop around the data; we are actually doing left outer join here of node with users.
for line in sys.stdin:
thisKey = lin... |
from .task import TaskRepository
REPOSITORIES = [TaskRepository]
|
from src.settings.load import *
from src.coords import *
from src.imageio import *
from src.mappoint import *
import sys
class Observation:
def __init__(self, frame, x, y):
self.mappoint = None
self.cx = x
self.cy = y
self.frame = frame
self.leftx = int(x) - HALF_PATCH_SIZE
... |
# -*- coding: utf-8 -*-
# Author: Eduardo Vannini
# Date: 22-02-2020
import numpy as np
from Simulator import Simulator
class BBSimulator(Simulator):
"""
Classe qui represente un simulateur "general" pour un systeme ball and beam decrit comme suit:
- Vecteur d'etat : [position, vitesse]
... |
import xlsxwriter
from xlrd import open_workbook
from scipy import signal
row = 0
col = 0
list = []
wb = open_workbook('data_PC_NBC_UTPC_UTPC.xlsx')
sheet = wb.sheet_by_index(0)
workbook = xlsxwriter.Workbook('data_PC_NBC_UTPC_UTPC_u.xlsx')
worksheet = workbook.add_worksheet()
i = 0
for row_num in range(sheet.nrows):
... |
# this will be a module
def print_app():
#Get the name of the file __name__ and store it in name
name = (__name__)
return name
# __main__ gets printed
# print(print_app())
|
#
# Death Blossom strategy module
#
import itertools
from logger import *
from playbook import *
from sudoku import *
from almost_locked_set import *
class DeathBlossom(AlmostLockedSet):
__metaclass__ = StrategyMeta
"""
Death Blossom is yet another variation of the strategies based on the
Almost Loc... |
import subprocess, pickle, os, sys, getopt, shutil, logging, glob, re
import math, joblib, argparse, copy, time, contextlib, functools, itertools
import numpy as np
import threading
from types import ModuleType
from functools import partial
mpl_logger = logging.getLogger("matplotlib")
mpl_logger.setLevel(logging.ERROR... |
#!env python3
# -*- coding: utf-8 -*-
import unittest
class Calc:
def add(self, a, b):
return a + b
def sub(self, a, b):
return a - b
def is_even(self, num):
return num // 2
class TestSetUpTearDown(unittest.TestCase):
@classmethod
def setUpClass(cls):
print("setU... |
"""
compare the efficiency of list comprehension and append
"""
import time
n_list = [10**3, 10**4, 10**5]
for n in n_list:
t1 = time.time()
a1 = [i for i in range(n)]
t2 = time.time()
a2 = []
for i in range(n): a2.append(i)
t3 = time.time()
del a1, a2
print("length={}, list compre... |
def calculate(s):
"""
:type s: str
:rtype: int
"""
s += "+0"
num, stack, op = 0, [], "+"
for i in range(len(s)):
if s[i].isdigit():
num = num * 10 + int(s[i])
elif not s[i].isspace():
if op == "+":
stack.append(num)
elif o... |
import matplotlib
matplotlib.use('Agg')
import pandas as pd
import numpy as np
import math
from sklearn.metrics import roc_curve, roc_auc_score
import matplotlib.pyplot as plt
def convertSeq(inputMat):
res = {}
for c, i in enumerate(range(len(inputMat)), 1):
curMat = inputMat[i]
curSeq = np.ar... |
from __future__ import print_function
import configargparse
import torch
import torch.nn as nn
from torch.autograd import Variable
import torch.backends.cudnn as cudnn
import torchnet as tnt
from torchnet.engine import Engine
from torchnet.logger import VisdomPlotLogger, VisdomLogger
from tqdm import tqdm
from models i... |
from .constants import *
class Soldier:
def __init__(self, is_me=False, face=UP, pos_h=0, pos_w=0):
self.is_me = is_me
self.face = face
self.pos_w, self.pos_h = pos_w, pos_h
self.last_post_w, self.last_pos_h = pos_w, pos_h
self._set_matrix()
def _set_matr... |
class BaseFormatterException(Exception):
def __init__(self, *args):
if args:
self.message = args[0]
else:
self.message = self.__doc__
def __str__(self):
return self.message
class NoMedia(BaseFormatterException):
"""The given media directory cont... |
# coding:utf-8
from django.conf.urls import include, url
from flashsale.dinghuo import views
from django.contrib.auth.decorators import login_required
from django.contrib.admin.views.decorators import staff_member_required
from .views import DailyDingHuoStatsView, StatsByProductIdView, DailyWorkView
from django.views.d... |
import logging
log = logging.getLogger('onegov.fsi')
log.addHandler(logging.NullHandler())
from onegov.fsi.i18n import _
from onegov.fsi.app import FsiApp
__all__ = ('FsiApp', 'log', '_')
|
import socket
import spaceking.net as net
import asyncio
import spaceking.log as log
EVT_CLIENT_CONNECTED = 17500
EVT_CLIENT_DISCONNECTED = 17501
class ClientConnection(net.Connection):
"""
Low level Cliet Connection
Implements the low level connection routines. API has enqueue for TX data
and deque... |
from enum import IntEnum
from more.webassets import WebassetsApp
from onegov.core.orm import orm_cached
from onegov.pay import log
from onegov.pay import PaymentProvider
from onegov.pay.errors import CARD_ERRORS
from onegov.pay.models.payment import ManualPayment
from onegov.pay.utils import Price
from typing import ... |
#Write a function named square that takes a number n and a parameter and returns that number squared
def square(n):
return n ** 2 |
default_app_config = 'computations.apps.ComputationsConfig'
|
import numpy as np
import pandas as pd
#Initializing Parameters: Temporary: The matrix would ideally be extracted from the CSV file Swetha provides
#matrix is n x 10, n = 11
param = [[1, 2, 3, 4, 5, 6, 7, 8, 9, 10]]
for i in range(10):
param += [list(np.array([1, 2, 3, 4, 5, 6, 7, 8, 9, 10]) * np.random.randint(2, 10... |
# Generated by Django 3.0.3 on 2020-02-22 14:49
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app_websites', '0007_auto_20200222_1432'),
]
operations = [
migrations.AddField(
model_name='pages',
n... |
from mangum import Mangum
from app import app
import logging
logging.basicConfig()
mangum_handler = Mangum(app)
def lambda_handler(event, context):
logging.info(f"Event: {event}")
resp = mangum_handler(event, context)
logging.info(f"Response: {resp}")
return resp
|
import requests # pip install requests
from bs4 import BeautifulSoup # pip install beautifulsoup4
import urllib.request
from urllib.error import HTTPError
from urllib.error import URLError
from datetime import datetime
from socket import timeout
from requests.exceptions import ConnectionError
import json, errn... |
print('Общество в начале XXI века')
x = int(input('Сколько Вам лет?'))
def myfunc(x):
if x >= 0 and x <= 7:
t = 'Вам в детский сад'
elif x > 7 and x <= 18:
t = 'Вам в школу'
elif x > 18 and x <= 25:
t = 'Вам в профессиональное учебное заведение'
elif x > 25 and x <= 60:
t... |
import requests
# Class which describes main functionality of the bot
class BotHandler:
# Class constructor. Parameter "token" is your bot token
def __init__(self, token):
self.token = token
self.api_url = 'https://api.telegram.org/bot{}/'.format(token)
self.getUpdates = 'getUpdates'
... |
from sys import argv
script, filename = argv
ifile = open(filename)
print ifile.read()
ifile.close
|
from selenium import webdriver
from selenium.webdriver.common.keys import Keys
from flask import Flask, render_template
app = Flask(__name__)
@app.route("/")
def hello_world():
return "Hello! this is flask"
@app.route("/hello/<bro>")
def hello(bro):
return "hello " + str(bro)
@app.route("/template/<foo>")
de... |
#! /usr/bin/env python3
import os
import sys
import shutil
def doesFolderExist(folderName):
if os.path.isdir(folderName):
return True
return False
def createMainCMakeLists(folderName):
projectName = 'projectName'
## Create file
filePath = folderName + '/CMakeLists.txt'
os.mknod(filePath)
# Ope... |
linenum = int(input())
counter = 0
cmessages = []
while counter != linenum:
smessage = str(input())
cmessages.append(smessage)
counter += 1
ccounter = 1
fmessages = []
for x in range(0, len(cmessages)):
fmessage = cmessages[x]
tempmessages = []
for x in range(1, len(fmessage)):
if fme... |
import matplotlib.pyplot as plt
import numpy as np
import matplotlib
matplotlib.rc('font', family='Arial')
matplotlib.use('GTK')
# Load data
mjd_g, google = np.loadtxt('hw_2_data/google_data.txt', unpack=True, skiprows=1)
mjd_n, ny_temp = np.loadtxt('hw_2_data/ny_temps.txt', unpack=True, skiprows=1)
mjd_y, yahoo = np.... |
import os
import urllib2
from django.conf import settings
class LotteryTicketDataProviderFeedException(Exception): pass
class LotteryTicketDataProvider(object):
"""
This class is responsible for retrieving the data feed
"""
PROVIDER_URL = "http://www.lotterynumbersxml.com/lotterydata/yoolotto.co... |
# -*- coding: UTF-8 -*-
import os
import bencode
import random
import string
from bencode import BTFailure
video_ext = ['.avi', '.rmvb', '.rm', '.asf', '.divx', '.mpg', '.mpeg', '.mpe', '.wmv', '.mp4', '.mkv', '.vob']
key_str = ['#', '@', '_', '-',
'sexinsex', 'sis', 'sex8', '6ytk',
'第一会所','第一會所'... |
def commission_cal(pLock,pStock,pBarrel):
sumPrice = 0.0
commission = 0.0
checkQuantity = True
lock = 45.0
stock = 30.0
barrel = 25.0
pLock = int(pLock)
pStock = int(pStock)
pBarrel = int(pBarrel)
if pLock <= 70.0 :
sumPrice = sumPrice + (pLock*lock)
else :
... |
#-*- coding:utf-8
'''
save_result.py
这个文件的作用是保存结果
'''
import traceback
def save_similarity_matrix(matrix, output_path):
try:
outfile = open( output_path, "w" )
for row_list in matrix:
line = ""
for value in row_list:
line += ( str(value) + ',' )
... |
'''
Created on 2016/05/22
/**
<(?<tag>[^\s>]+)[^>]*>(.|\n)*?</\k<tag>>
*/
@author: hadoop
'''
import re
regexStr = "<(S*?)[^>]*>.*?|<.*?/>"
htmlContent = """
<div style="background-color:gray;" id="footer"> </div>
"""
result = re.search(regexStr, htmlContent,
re.M|re.I)
print(result.groups()) |
import time
import pyautogui
import tkinter as tk
def screenshot():
name =int(round(time.time()*1000))
name = 'C:/Users/Dell/Desktop/Courses and Certification/Python/Python 20+/screenshot data/{}.png'.format(name)
#time.sleep(2)
img = pyautogui.screenshot(name)
img.show()
root=tk.Tk()
... |
import json
import numpy as np
import ast
from test import newApproach, save_tf_model, add_assertion, add_solver
from json_parser import parse, parse_solver
from run_refinepoly import refinepoly_run
INPUT_BOUND = (-3,3)
EPS = 1
def create_model(len_in, no_layers, no_neuron):
model = {}
model["shape"] = str((1,... |
#! /usr/bin/env python
from scipy import linalg
from sklearn.utils.extmath import safe_sparse_dot
import numpy as np
def randomized_krylov_svd(A, n_components, n_iter=8):
m, n = A.shape
# oversample a bit
num_sample = n_components + 12
# Random block initialization
G = np.random.normal(size=(A.... |
import os
import sys
import numpy as np
scatter_list = [[0,1,2,3,4],[0,1,2,3,4]]
scatter_list = np.array(scatter_list)
matrix = np.zeros((4,4,1))
lists = [[] for i in range(25)]
weight_lists = [0.0 for i in range(25)]
sort_lists = [[] for i in range(25)]
result_lists = [[] for i in range(25)]
# print(all_list[:3])... |
import random
def single_random_scoop(pool):
dict = pool.supply
summer = sum(dict.values())
rand_val = random.randint(1,summer)
total = 0
for k, v in dict.items():
total += v
if rand_val <= total:
return k
def multi_scoop(pool, to_pool, size):
for x in range(size):
... |
# Copyright (C) 2016 Nokia Corporation and/or its subsidiary(-ies).
# -*- encoding: utf-8 -*
import unittest
from deployment import notification
class TestNotifierCollection(unittest.TestCase):
def test_notifier_collection(self):
class DummyNotifier(object):
def __init__(self):
... |
from django import forms
class UploadSrtForm(forms.Form):
title = forms.CharField(max_length=50)
file = forms.FileField()
#cloud_img = forms.ImageField()
|
#!/usr/bin/env
############################################
# testpackage.py
# Author: Paul Yang
# Date: June, 2016
# Brief:
############################################
from mypackage.subpackage1 import element1
from mypackage.subpackage1 import element2
from mypackage.subpackage2 import element1
from mypackage.su... |
import re
def findTargets():
file = open("ch3.txt");
text = "";
for line in file:
text += line.strip();
file.close();
matches = re.findall("[a-z]{1}[A-Z]{3}[a-z]{1}[A-Z]{3}[a-z]{1}", text);
return "".join([sub[4] for sub in matches]);
if __name__ == '__main__':
print(findTarge... |
from __future__ import absolute_import
from __future__ import print_function
import os
import logging
from . import inference_proxy_client
from . import messages
from . import client_base
log = logging.getLogger(__name__)
class InferenceProxyAPI(client_base.InferenceClientBase):
def __init__(self, intent_model_... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.