text stringlengths 8 6.05M |
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import cv2
import numpy as np
import matplotlib.pyplot as plt
import random
from numpy.core.fromnumeric import reshape
from numpy.lib.type_check import imag
import weight_mask
from skimage import io
from scipy import ndimage
from scipy.signal import convolve2d
from scipy.signal import wiener
import math
import pywt
im... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
import random
# a_list = [1,2,3]
# print(sum(a_list))
# input_result = input("Big or Small:")
# a_list = []
# point1 = random.randrange(1,7)
# point2 = random.randrange(1,7)
# point3 = random.randrange(1,7)
def roll_dice(numbers=3,points=None):
print("<<<<< ROLL THE ... |
#!/usr/bin/env python
# coding: utf-8
# # P4 Panoramas and Stereo
# ## P4.1 Spherical Reprojection
#
# As we discussed in class, to make a panorama we need to reproject the images onto a sphere, something you will be implementing in this question. I have given you some starter code that you should use to reproject t... |
#!/usr/bin/python3
print("content-type:text/html")
print()
import cgi
import subprocess
f=cgi.FieldStorage()
cmd=f.getvalue("x")
a=subprocess.getoutput("sudo " + cmd)
print(a) |
from roboclaw import *
def counterClockwise(speed):
M1Forward(128, speed)
M2Forward(128, speed)
M2Forward(129, speed)
def clockwise(speed):
M1Backward(128, speed)
M2Backward(128, speed)
M2Backward(129, speed)
def right():
M1Backward(128, 60)
M2Backward(128, 60)
M2Forward(129, 1... |
#ASSIGNMENT6
#QUESTION:1 Take 10 integers from the user and print it on the screen.
#SOLUTION:
l=[]
for n in range(0,10):
l.append(int(input("enter the integer: ")))
print(l)
#QUESTION:2 Write an infinite loop.An infinite loop never ends.Condition is always true.
#SOLUTION:
#... |
#!/usr/bin/python3
import numpy as np
from cpa import CPA
traces_file="traces_capdir58/knownrand_fixed/knownrand_fixed_P58_data/traces/2016.06.01-11.54.29_traces.preprocessed.npy"
key_file="traces_capdir58/knownrand_fixed/knownrand_fixed_P58_data/traces/2016.06.01-11.54.29_keylist.npy"
plaintext_file="traces_capdir58/... |
class Employee():
def __init__(self,last_name,first_name,salary):
self.first_name=first_name
self.last_name=last_name
self.salary=salary
def give_raise(self,increment=0):
self.salary=5000
self.salary+=increment
|
from ..models import Dish
from django.forms import ModelForm
from django.forms import Select, TextInput
class DishForm(ModelForm):
class Meta:
model = Dish
fields = '__all__'
widgets ={
'name':TextInput(attrs={'class': 'form-control mr-3'}),
'unit':Select(attrs={'cla... |
import os
import requests
from qubell.api.private.testing import environment, instance, values
from qubell.api.tools import retry
from testtools import skip
from test_runner import BaseComponentTestCase
def eventually(*exceptions):
"""
Method decorator, that waits when something inside eventually happens
... |
import cv2
import numpy as np
import tensorflow as tf
from collections import defaultdict
from moviepy.video.io.ffmpeg_tools import ffmpeg_extract_subclip
def read_labels(filename='../tensorflow/labels.txt'):
# Read label file
label_file = open(filename, 'r')
labels = label_file.read().split()
label_f... |
from sqlalchemy.orm import Session
from . import models, schemas
def get_player(db: Session, player_id: int):
return db.query(models.Player).filter(models.Player.id == player_id).first()
def get_players(db: Session, skip: int = 0, limit: int = 100):
return db.query(models.Player).offset(skip).limit(limit).... |
import json
import re
import os
import numpy as np
import scipy.stats as stats
import pandas as pd
import datetime as dt
folder = 'Analysed_Data/'
lumis = ['PLT','HFLumi', 'BCM1F', 'HFLumiET']
fillr = 'output(\d+).*\.json'
dirs = [i for i in os.listdir(folder) if i[0] != 'F' and int(i[:4]) >= 5718]
cols = ['timesta... |
locations = {
(0,0): 'house',
(0,1): 'lake',
(1,0): 'park',
(1,1): 'market',
}
description = {
(0,0): "A BIG DARK HOUSE WITH NO LIGHTS",
(0,1): 'A LAKE USED FOR DUMPING RUBBISH',
(1,0): 'A SUNNY PARK FULL OF PEOPLE',
(1,1): 'A MARKET FULL OF FOOD STALLS',
}
items = {
(0,0): 'ca... |
from os import listdir
from os.path import isfile, join
from ofxparse import OfxParser
import pandas as pd
import numpy as np
from decimal import Decimal
import matplotlib.pyplot as plt
from matplotlib.gridspec import GridSpec
UNCATEGORIZED = 'uncategorized'
def load_ofxs(path):
files = []
for f in listdir(pa... |
from Jumpscale import j
import netaddr
import ipaddress
def chat(bot):
"""
"""
user_info = bot.user_info()
name = user_info["username"]
email = user_info["email"]
ips = ["IPv6", "IPv4"]
default_cluster_name = name.split(".3bot")[0]
expiration = j.data.time.epoch + (60 * 60 * 24) # for... |
#!/usr/bin/env /data/mta/Script/Python3.8/envs/ska3-shiny/bin/python
#################################################################################################
# #
# hrma_plot_trends.py: create hrma src data tren... |
from collections import defaultdict
import cv2
import numpy as np
from matplotlib import pyplot as plt
from maximumIndependentSet import MaximumIndependentSet
from occupancyGrid import OccupancyGrid
from utils import Direction, Point, Submap
class GridSubmapper:
def __init__(self, occ_grid):
self.occ_grid = ... |
"""
A) A dezena mais frequente
B) A dezena menos frequente
C) Tabela de frequencias de dezenas
D) Tabela de frequencias de duplas dezenas
E) Tabela de frequencias de triplas dezenas
"""
import libplnbsi
from operator import itemgetter
def combina(listaDezenas, qtd, dicDezenas):
i = 0; j = 0
while i < len(listaD... |
# -*- coding: utf-8 -*-
"""
Created on Mon Dec 3 15:52:21 2018
@author: Administrator
"""
import socket
import threading
import time
import struct
import queue
import serial
import numpy as np
from scipy import signal
from ringbuf import RingBuffer
import matplotlib.pyplot as plt
from matplotlib import animation
f... |
import gym
from gym_recording.playback import scan_recorded_traces
import numpy as np
import os
import tensorflow as tf
import matplotlib.pyplot as plt
from collections import defaultdict
from pprint import pprint
from dps import cfg
from dps.datasets import Dataset, ImageDataset, ArrayFeature, ImageFeature
from dps.u... |
import argparse
import os
import sys
import pandas as pd
import numpy as np
import pickle
import sagemaker_containers
import torch
import torch.nn as nn
import torch.optim as optim
import torch.utils.data
import torch.nn.functional as F
from io import StringIO
from six import BytesIO
# import model
from model import... |
visa_free_countries_string = '''
Azerbaijan (up to 90 days)
Albania (up to 90 days)
Antigua and Barbuda from 29 June 2018 of the year (up to 90 days for 180 days)
Argentina (up to 90 days)
Armenia
Belarus
Bosnia and Herzegovina (up to 30 days). You may need tickets back, host invitation or travel voucher.
Brazi... |
# Generated by Django 2.1 on 2018-08-22 18:17
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('basic_app', '0013_remove_userprofileinfo_questions'),
]
operations = [
migrations.RemoveField(
model_name='questions',
... |
import numpy as np
from numpy.linalg import solve
import findMin
from scipy.optimize import approx_fprime
import utils
class logReg:
# Logistic Regression
def __init__(self, verbose=0, maxEvals=100):
self.verbose = verbose
self.maxEvals = maxEvals
self.bias = True
def funObj(self, ... |
# Copyright 2023 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import sys
import pytest
from pants.build_graph.address import Address
from pants.core.target_types import FileTarget
from pants.core.util_rules import adhoc_binaries
from pants.core.uti... |
# -*- coding: utf-8 -*-
# MLC (Machine Learning Control): A genetic algorithm library to solve chaotic problems
# Copyright (C) 2015-2017, Thomas Duriez (thomas.duriez@gmail.com)
# Copyright (C) 2015, Adrian Durán (adrianmdu@gmail.com)
# Copyright (C) 2015-2017, Ezequiel Torres Feyuk (ezequiel.torresfeyuk@gmail.com)
# ... |
from node import Node
class SplayTree:
def __init__(self):
self._nil = Node()
self._root = self._nil
def _successor(self, local_root: Node) -> Node:
succ = local_root
if succ.right is not self._nil:
succ = self._min(succ.right)
else:
while succ... |
import scrapy
from scrapy.linkextractors import LinkExtractor
from scrapy.spiders import CrawlSpider, Rule
from redis import Redis
from zlsPro.items import ZlsproItem
class MovieSpider(CrawlSpider):
name = 'movie'
# allowed_domains = ['www.xxx.com']
start_urls = ['http://www.4567kan.com/frim/index5.html']
... |
n,k = int(input()),int(input())
xx = list(map(int,input().split()))
ans = 0
for x in xx:
if k-x > x:
ans += x*2
else:
ans += (k-x)*2
print(ans)
|
"""tool for reconstructing a cryptarchive index."""
import sys
import json
import re
import os
from cryptarchive.index import Index
def find_all_ids(s):
"""find all ids in s."""
q = r'\"id\": ?\"[0-f]+'
# q = r'\"id\": ?\"[a-zA-Z0-9/_\- \(\)]+'
matches = re.findall(q, s)
result = []
for m in ... |
# -*- coding: utf-8 -*-
# import os
# import random
# import urllib
#import json
# from django.utils import simplejson as json
# import pickle
# from google.appengine.ext.webapp import template
#import cgi
# from google.appengine.api import users
# from google.appengine.ext import webapp
# from google.appengine.ext.web... |
from datetime import date, timedelta
def u_to_g(d):
if d < date(1582, 10, 5):
g_date = d
elif date(1582, 10, 5) <= d < date(1700, 2, 28):
g_date = d + 10
elif date(1700, 3, 1) <= d < date(1800, 2, 28):
g_date = d + 11
elif date(1800, 3, 1) <= d < date(1900, 2, 28):
g_dat... |
import numpy as np
import cv2
img = cv2.imread('images/model.png')
cv2.imshow('original', img)
subimg = img[200:300, 200:400]
cv2.imshow('cutting', subimg)
#200~300 행과 200~400열을 ROI로 잡는다.
img[100:200, 100:300] = subimg
#잘라낸 subimg를 해당 좌표에 집어 넣는다.
print(img.shape)
print(subimg.shape)
cv2.imshow('modified', img)
#수정된 ... |
# coding: utf-8
# # Problem 7
#
# **Letter frequencies.** This problem has three (3) exercises worth a total of ten (10) points.
# Letter frequency in text has been studied in cryptoanalysis, in particular frequency analysis. Linguists use letter frequency analysis as a rudimentary technique for language identifica... |
import datetime
import json
import random
import time
import traceback
# import faker
import requests
# from tqdm import tqdm
import os
# Data source:
# https://raw.githubusercontent.com/BlankerL/DXY-COVID-19-Data/master/json/DXYArea-TimeSeries.json
# fake = faker.Factory.create("zh-CN")
# api = "http://8.210.248.203... |
#!/usr/bin/env python3
# -*- encoding: utf-8 -*-
# File: osc4py3/as_comthreads.py
# <pep8 compliant>
"""Use of osc4py3 in own created threads for communication.
Functions defined here allow to use OSC with a mixed scheduling whehre
communications and encoding/decoding are realized in background
threads, but methods ca... |
from base64 import b64encode
from datetime import datetime
from manticora.models.database_functions.account import (
query_user_accounts_by_user,
query_account_by_id,
find_all_extrato,
query_all_account_in_rest,
change_status,
query_all_requests_from_user)
from manticora.models.database_function... |
from django.contrib import admin
from django.http import HttpRequest
from django.http import HttpResponse
from django.urls import path
from task4.views import view
def hello_world(request: HttpRequest):
return HttpResponse("hello world")
urlpatterns = [
path('admin/', admin.site.urls),
path("hw/", hello... |
# coding=utf-8
# Copyright 2021 The Google Research Authors.
#
# 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 applicab... |
# The logger subscribes to various topics and creates a local and remote log
from mqtt_client import MQTT_Client
from hbmqtt.mqtt.constants import QOS_1
import asyncio
# For making GET/POST request to WEB
import requests
# For structuring data
import json
# Configuration of TOPICS and addresses
from config import *
... |
from spack import *
class Yoda(Package):
url = "http://cern.ch/service-spi/external/MCGenerators/distribution/yoda/yoda-1.6.5-src.tgz"
version('1.6.5', '634fa27412730e511ca3d4c67f6086e7')
depends_on('root')
depends_on('py-cython', type='build')
def install(self, spec, prefix):
with working... |
# Types from OFP
STR = "String"
ARRAY = "Array"
BOOL = "Boolean"
GROUP = "Group"
NUM = "Number"
OBJ = "Object"
SIDE = "Side"
# Types from ARMA
CODE = "Code"
CONF = "Config"
CTRL = "Control"
DISP = "Display"
SCRPT = "Script(Handle)"
STRUCTURED = "Structured Text"
# Types from ARMA2
DIARY = "Diary_Record"
TASK = "Task... |
#!/usr/bin/python2
#coding=utf-8
#The Credit For This Code Goes To lovehacker
#If You Wanna Take Credits For This Code, Please Look Yourself Again...
#Reserved2020
import os,sys,time,datetime,random,hashlib,re,threading,json,urllib,cookielib,requests,mechanize
from multiprocessing.pool import ThreadPool
from requests... |
#Use backtracking to generate binary strings of a n bit binary string
A=[None]*3
def binaryStrings(n):
#print "Hello"
if (n<1):
print A
return
A[n-1]='0'
binaryStrings(n-1)
A[n-1]='1'
binaryStrings(n-1)
binaryStrings(3)
|
# -*- coding: utf-8 -*-
"""
语言版本：
python：3.7
scrapy：1.6
功能：不使用正则表达式,改用scrapy爬取段子.
"""
import scrapy
class DuanZiSpider(scrapy.Spider):
name = "duanSpider"
allowed_domains = ["duanziwang.com"]
start_urls = ['http://duanziwang.com/category/经典段子/']
def parse(self, response):
duanzi_list = respon... |
import sys,os,time
import PLstats
from PyQt4 import QtCore, QtGui, uic,QtSql
from PLtable_auto import *
import sqlite3
import PLpoints_mod
import PLresults_mod
class MyWindowClass(QtGui.QMainWindow, Ui_MainWindow):
def __init__(self, parent=None):
for j in range(1,2,1):
QtGui.QMainW... |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 20 12:42:14 2020
@author: insun
"""
import re,string
from nltk.tokenize import word_tokenize
from RealOrNot.code import engAbbrCorpus
abbreviations = engAbbrCorpus.abbreviations
contractions = engAbbrCorpus.contractions
class DataClean :
def __init__(self, datafram... |
# -*- coding: utf-8 -*-
import numpy as np
import matplotlib.pyplot as plt
import math
J = 2 # Cout du jeton
# Si modif des valeurs, garder la 3 en meilleure machine ou adapter l'algo du regret
def testGain(k) :
if k == 1 :
mu = 0.2
elif k == 2 :
mu = 1.2
elif k == 3 :
mu = 1.5
... |
import pyupbit
import numpy as np
# OHLCV(open, high, low, close, volume)로 당일 시가, 고가, 저가, 종가, 거래량 데이터 취득
df = pyupbit.get_ohlcv("KRW-XRP", count=3)
# # 전략부분
# 변동성 돌파 기준 범위 계산 (고가 - 저가) * k값
df['range'] = (df['high'] - df['low']) * 0.5
# target(매수가), range 컬럼을 한칸씩 밑으로 내림 (shift(1))
df['target'] = df['open'] + df['ran... |
APPLICATION_NAME = 'stag.datalink_v2.streaming'
APPLICATION_VERS = "1.0.0"
|
# Data Preprocessing final steps
# Importing the libraries
import numpy as np
import matplotlib.pyplot as pyplot
import pandas as pd
# Importing the dataset
dataset = pd.read_csv("Data.csv")
# Matrix of features
x = dataset.iloc[:, :-1].values
# IV array
y = dataset.iloc[:, -1].values
# Taking care of missing data
f... |
"""Initial migration.
Revision ID: 57ef1a3f1d22
Revises:
Create Date: 2021-01-21 17:15:13.816196
"""
from alembic import op
import sqlalchemy as sa
import sqlalchemy_utils
# revision identifiers, used by Alembic.
revision = '57ef1a3f1d22'
down_revision = None
branch_labels = None
depends_on = None
def upgrade():... |
import sys
def solution():
# input
# points : (duration - T) + bonus
duration, inter_n, street_n, car_n, bonus = map(int, input().split())
adj = [list() for _ in range(inter_n)]
name_to_street = {}
street_count = {}
cars = []
for _ in range(street_n):
s, e, name, L = input().spl... |
import json
import torchvision
import numpy as np
import os
import torch
from torch.utils.data import Dataset
from PIL import Image
from augmentations import SobelTransform
from functools import reduce
def compute_weight_map(mask: torch.tensor):
"""
Computes a weight map for a given mask, to balance
am... |
from __future__ import division
import os
from astropy.io import ascii
data_sequence = 'all'
GRB_name = 'GRB190114C'
model_name = 'CPL+BB_'+data_sequence #change if you want to change the time pulse bin, also change if you change the SNR
# Read PHA files from an ascii file listed in table
pha_files = ascii.read... |
import heapq
class Solution:
# @param A : list of integers
# @param B : list of integers
# @return a list of integers
def solve(self, A, B):
size = len(A)
A.sort(reverse=True)
B.sort(reverse=True)
heap = []
for anum in A:
for bnum in B:
... |
[<name>]
username =
password =
|
n,m=input().split()
n1,m1=input().split()
n=int(n)
m=int(m)
n1=int(n1)
m1=int(m1)
print(abs(n-n1),abs(m-m1))
|
from src.reddit_handler import RedditHandler
from src.polarization_classifier import PolarizationClassifier
from src.textstatistics_generator import TextStatisticGenerator
out_folder = 'RedditHandler_Outputs'
extract_post = True # True if you want to extract Post data, False otherwise
extract_comment = True # True if... |
#Created on 1/23/2015
#@author: rspies
# Python 2.7
######################################################################################################
#This script contains several functions for calculating error statistics:
#1 pct_bias: percent bias
#2 nash_sut: nash sutcliffe
#3 ma_error: mean absolute e... |
def firstFit(capacity, weights):
binlist = []
for weight in weights:
foundBin = False
for bin in range(len(binlist)):
if binlist[bin] >= weight:
binlist[bin] -= weight
foundBin = True
break
if foundBin == False:
bin... |
# Bài 10: Cho list sau: ["www.hust.edu.vn", "www.wikipedia.org", "www.asp.net", "www.amazon.com"]
# Viết chương trình để in ra hậu tố (vn, org, net, com) trong các tên miền website trong list trên.
my_list = ["www.hust.edu.vn", "www.wikipedia.org", "www.asp.net", "www.amazon.com"]
my_tuple = []
for i in my_list :
... |
"""
This module demonstrates the ACCUMULATOR pattern in three classic forms:
SUMMING: total = total + number
COUNTING: count = count + 1
IN GRAPHICS: x = x + pixels
Authors: David Mutchler, Valerie Galluzzi, Mark Hays, Amanda Stouder,
and their colleagues. September 2015.
"""
# --------... |
#!/usr/bin/env python
"""
Tool for debugging the dependence of a rpy2 RandomForest classifier on various features
in order to determine/debug mismatched of noisy featutes.
TODO:
- should use two different Debosscher arff, with features generated from differeing algorithms.
- Should be able to disable certain fe... |
#!/usr/bin/env python
"""
"""
import os
from util import libtool, liblogger
import ujson as json
from collections import defaultdict
import math
#=== file settings ===
using_cache = bool(os.environ["using_cache"])
lex_count_dict = json.load(open(os.environ["lex_count_dict_file"]))
converted_file = os.environ["conver... |
#!/usr/bin/env python2.7
"""Facilitates the measurement of current network bandwidth."""
import collections
class Bandwidth(object):
"""Object containing the current bandwidth estimation."""
def __init__(self):
self._current = 0
self._previous = 0
self._trend = collections.deque(max... |
import pytest
from dict import locators
from selenium import webdriver
import time
@pytest.fixture(scope="session")
def driver():
driver = webdriver.Chrome('C:/Python34/Lib/site-packages/selenium/webdriver/common/chromedriver')
return driver
def test_togo(driver):
driver.get(locators['url'])
... |
import numpy as np
import os
import json
import re
from collections import Counter
from nltk.corpus import stopwords
from time import time
english = stopwords.words('english')
class Data(object):
def __init__(self):
self.vocab = []
self.keys_vocab = []
self.index_map = {}
self.... |
from calendar import weekday
DAYS = ['Monday', 'Tuesday', 'Wednesday', 'Thursday',
'Friday', 'Saturday', 'Sunday']
def most_frequent_days(year):
beg = weekday(year, 1, 1)
end = weekday(year, 12, 31)
return DAYS[beg:end + 1] if beg <= end else DAYS[:end + 1] + DAYS[beg:]
|
import requests
import openpyxl
import json
import os
book = openpyxl.Workbook()
for vol in range(1, 55):
print(vol)
type = "all"
prefix = "https://raw.githubusercontent.com/nakamura196/genji_curation/master/docs/iiif"
prefix2 = "/Users/nakamurasatoru/git/d_genji/genji_curation/docs/iiif"
url =... |
from django.shortcuts import render
from django.contrib import auth
from django.http import HttpResponseRedirect
# 會員登入 login_action、redirect to main if member exist
def member_login(request):
if request.user.is_authenticated:
if request.session.get("as") == "student":
return HttpResponseRedir... |
'''
I really wanna finish this lab here is docstring
'''
import ngrams.ngram_trie as ngrams
from lab_4.main import WordStorage
from lab_4.main import encode_text
from lab_4.main import decode_text
from lab_4.main import NGramTextGenerator
from lab_4.main import LikelihoodBasedTextGenerator
from lab_4.main import BackOf... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 22 22:22:55 2015
@author: lenovo
"""
"""
优势：
可以使一个蕴含递推关系且结构复杂的程序简洁精练，增加可读性
特别是在难于找到从边界到解的全过程的情况下，如果把问题推进一步，其结果仍然维持原问题的关系
劣势：
嵌套层次深，函数调用开销大
重复计算
"""
"""
汉诺塔问题
"""
count = 0
def hanoi(n,A,B,C):
global count
if n == 1:
print "Move disk",n,... |
"""
Random Walker or Drunkard's Walk is the Programg where a Drunkard is in the middle of the city laid out like a grid.
Drunkard is taking random choice to move in East, West, North or South. Drunkard starts from Origin(0,0) and makes a random choice
to move to East, West, North or South Direction. Let's... |
import math
def union(R, S):
return R + S
def difference(R, S):
return [t for t in R if t not in S]
def intersect(R, S):
return [t for t in R if t in S]
def project(R, p):
return [p(t) for t in R]
def select(R, s):
return [t for t in R if s(t)]
def product(R, S):
return [(t,u) for t in R ... |
from django.urls import path,include
from . import views
from rest_framework import routers
from rest_framework.urlpatterns import format_suffix_patterns
router = routers.DefaultRouter()
router.register('items',views.ItemsView)
urlpatterns = [
path('',include(router.urls)),
]
|
numeroDePessoas = int(input())
pessoas = input().split(' ')
menor = pessoas.copy()
menor.sort()
menor = menor[0]
print( str (pessoas.index(menor) + 1 ) ) |
from django.db import models
from workprogramsapp.models import Topic, WorkProgram
from django.conf import settings
class AdditionalMaterial(models.Model):
"""
Материалы тем
"""
topic = models.ForeignKey('Topic', on_delete=models.CASCADE, verbose_name='тема рабочей программы',
... |
import temp
import time
print("Press CTRL-C to interupt within 5 seconds")
for _ in range(5):
print(".")
time.sleep(1)
temp.main()
|
import logging
import sys
requests_log = logging.getLogger("requests.packages.urllib3")
requests_log.setLevel(logging.DEBUG)
requests_log.propagate = True
class ExitOnCriticalHandler(logging.StreamHandler):
def emit(self, record):
super().emit(record)
if record.levelno is logging.CRITICAL:
... |
#!/usr/bin/env python
import re
import sys
import binascii
from struct import unpack
from .helpers import *
def analyze(fp):
fp.seek(0)
while not IsEof(fp):
line = dataUntil(fp, b'\x0a', 1).decode('utf-8')
m = re.match(r'^:(..)(....)00(.*)(..)', line)
if m:
(count... |
from django import template
from stories.models import Comment
register = template.Library()
@register.simple_tag
def get_verbose_field_name(instance, field_name):
"""
Returns verbose_name for a field.
"""
return instance._meta.get_field(field_name).verbose_name.title()
@register.simple_tag
def g... |
# This program will open a .txt file, change the format of the strings in this file
# and then write the reformatted strings into a new .txt file
def main():
print("This program converts an all lower case text file to all capital letters")
input= open('Before.txt',"r")
output= open('After.txt', "w")
f... |
from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
from flask_login import LoginManager
from flask_oauthlib.client import OAuth
import os
import markdown
app = Flask(__name__)
if "DEBUG" in os.environ:
app.config.from_object("config.Config")
elif "TESTING" in os.environ:
app.conf... |
from random import randint
numero = randint(0,5)
resp = int(input('Digite o número que o computador pensou:'))
if numero == resp:
print('Parabéns você acertou!')
else:
print('Que pena você errou feio!! errou rude')
|
# 生成一个随机字符串
# 密钥定为 043
import os
import hashlib
import socket
sk = socket.socket()
sk.bind(('127.0.0.1',43))
sk.listen()
conn,addr = sk.accept()
ret = os.urandom(32) #生成一个 参数长度 的随机字符串
print(ret)
conn.send(ret)
sha = hashlib.sha1(b'043')
sha.update(ret)
yanzheng = sha.hexdigest()
yansheng2 = conn.recv(1024).deco... |
import os
import sys
import yaml
from bioblend import toolshed
"""
A simple program to update the tool revisions in a tools.yml file.
The program will either replace the list of revisions with just the latest
revision available on the ToolShed, or append the latest revision (if a newer
revision is available) to the e... |
#!/usr/bin/env python3
#coding:utf-8
from main import Run
def t():
r = Run()
r.main()
|
# -*- coding: utf-8 -*-
import json
import time
from appium import webdriver
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
from selenium.webdriver.common.by import By
from appium.webdriver.common.touch_action import TouchAction
import os
import ... |
import os #manipulate files
with open("mydata.txt", mode="w", encoding="utf-8") as myFile: #a for append
myFile.write("some random text\nMore random filestext\n")
with open("mydata.txt", encoding="utf-8") as myFile:
#read() readline() readlines()
print(myFile.read())
print(myFile.closed)
print(myFile.name)... |
#!/usr/bin/env python
import pytraj as pt
traj = pt.iterload('./RAN.rst7', './RAN.parm7')
t0 = traj[:]
flist = []
for deg in range(-180, 175, 5):
pt._rotate_dih(t0, resid='1', dihtype='chin', deg=deg)
flist.append(t0[0].copy())
print(pt.calc_chin(flist, top=t0.top))
pt.write_traj('combined_traj.nc', flist, ... |
import requests
import json
import csv
import datetime
# Modify these to suit your needs
TOKEN = "YOURTOKEN"
COMMUNITY = "YOURCOMMUNITYID"
DAYS = 14
# No need to modify these
GRAPH_URL_PREFIX = "https://graph.facebook.com/"
GROUPS_SUFFIX = "/groups"
# Default paging limit for Graph API
# No need to modify, unless yo... |
import os, pickle, pyaes, sys, random, pycurl
key = "This_key_for_demo_purposes_only!"
aes = pyaes.AESModeOfOperationCTR(key)
#size of the database
dbsize=20000
#size of elements
elesize=10
def deciph(ciphertext):
return aes.decrypt(ciphertext)
#size of partition
partisize = int(sys.argv[1])
size_buc =1
rr=random.... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Filename: step06_run_weilbull_hazard_test
# @Date: 2020/3/25
# @Author: Mark Wang
# @Email: wangyouan@gamil.com
"""
python -m ConstructRegressionFile.Stata.step06_run_weilbull_hazard_test
"""
import os
from Constants import Constants as const
if __name__ == '__main_... |
import os
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import matplotlib.patches as patches
from skimage import io, img_as_uint
from skimage.morphology import skeletonize, medial_axis, skeletonize_3d
from skimage.measure import regionprops, label
from skimage.filters import threshold_otsu
fr... |
#------------------------------------------------------------------------------------------------
# Flight time and delay predictor
# Description: Simple python script that runs a regression to predic actual flight time
# and probability of delay of airlines by route
# Creation Date: Nov 23, 2016
#------... |
# Admin Request Handler
# Manager for adding books and configure database
# Later will support users manage
import logging
import tornado.web
class IndexHandler(tornado.web.RequestHandler):
"""
Admin page Index Request Handler
"""
def get(self):
self.write("Hello I am admin manager")
cl... |
print("Hello World! I am Joel Okpara")
|
from django.db import models
class Contact(models.Model):
# primary_key
id = models.AutoField(auto_created=True, primary_key=True)
# contact_type = models.CharField(max_length=32, verbose_name="문의 유형")
contact_type = models.CharField(max_length=32, verbose_name="문의 유형")
# contact_user = models.For... |
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