text stringlengths 8 6.05M |
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from random import randint, sample
def number_generator():
return sorted(sample(xrange(1, 50), 6)) + [randint(0, 9)]
def check_for_winning_category(your_numbers, winning_numbers):
superzahl_match = your_numbers.pop() == winning_numbers.pop()
matches = len(set(your_numbers).intersection(winning_numbers))... |
import pandas as pd
import csv
'''
The initial conditions of the application needs a pre-defined empty csv file named "Student_Data.csv" with column names [name,age,branch,year,semester,prev_sem_score]
'''
def getStudentData():
student_data = pd.read_csv("Student_Data.csv",index_col = False)
if(len(student_... |
from flask_sqlalchemy import SQLAlchemy
from sqlalchemy import cast,Date, and_,or_
import config, bcrypt,subprocess,requests,re,logging
from datetime import date, datetime,timedelta
from database import match, User
from flask import Flask, render_template, request, redirect
from flask_login import LoginManager, login_u... |
import requests
from api.wework import WeWork
class DepartmentManege(WeWork):
#部门管理
secret = "ATvrnjJTv6Qu3zqUSDLXUJzmsPSBT_lHHd8pW68SVUs"
#创建部门
def create(self,name,parentid,**kwargs):
data = {"name":name,"parentid":parentid}
data.update(kwargs)
url = "https://qyapi.weixin.qq.... |
#M, D = map(int, input().split())
line = input().split()
M = int(line[1])
D = int(line[0])
mp = [
"Thursday",
"Friday",
"Saturday",
"Sunday",
"Moday",
"Tuesday",
"Wednesday"
]
count = [31, 28, 31, 30, 31, 30, 31, 31, 30, 31, 30, 31]
sum = D-1
for i in range(M-1):
sum += count[i]
print... |
import pandas as pd
from bs4 import BeautifulSoup as soup
from urllib.request import urlopen as uReq
testurl="file:///C:/Users/vamsi/Desktop/BidAlert.htm"#url to Scrape
uClient=uReq(testurl)
page_html=uClient.read()
uClient.close()
page_soup=soup(page_html,"html.parser")
#Columns to be Parsed
BidAlertNos... |
import matplotlib.pyplot as plt
import pandas as pd
df= pd.read_csv('E:\csvdhf5xlsxurlallfiles\percent-bachelors-degrees-women-usa.csv')
print(df.shape)
year=df['Year']
computer_science=df['Computer Science']
physical_science=df['Physical Sciences']
plt.plot(year, computer_science, color='red')
plt.plot(year,... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Fri Nov 8 13:16:19 2019
Parameter scans
@author: fabio
"""
import numpy as np
#import pandas as pd
#import matplotlib.pyplot as plt
#from smaller_model_function_AtoU import simple_small as ss
from AtoU_model import simple
import multiprocessing
import time... |
# Program to connect to ActiveMQ broker and read messages from the FuSE.ModelOutput topic and then publish messages
# to MCITOPIC to be consumed by the phone.
import paho.mqtt.client as mqtt
import paho.mqtt.publish as publish
import json
import time
broker = "localhost" # The mqtt broker location (can be changed to... |
import mine
import os
import mysvg
from manim import *
def rate_dump():
print (rate_functions.__all__)
for rate_function in rate_functions.__all__:
call = f"{rate_function}(.5)"
bar = eval(call)
if not callable(bar):
mysvg.ink_text_animation("Cross-smooth", "abcde", iteratio... |
# encoding=UTF-8
# Клонирует или обновляет репозитории
from dotenv import load_dotenv, find_dotenv
from pathlib import Path
import json
import os
import os.path
import pymysql
import traceback
import time
import sys
import re
import subprocess
import io
from google.cloud import speech
from google.cloud.speech import en... |
import cv2 as cv
import os, os.path
import numpy as np
def read_an_image_series(series='birds'):
"""
Read a series of images
:param series:
:return:
"""
# general path that contain all images of a series
main_path = 'C:\\Users\\Home\\Dropbox\\codes\\CV\\96131125_HW06\\JPEGS_min... |
def hashify(string):
result = {}
string = string + string[0]
for a in xrange(len(string) - 1):
k, v = string[a:a + 2]
try:
result[k].append(v) # dictionary value is a list
except AttributeError:
result[k] = [result[k], v] # dictionary value is NOT a l... |
from django.contrib import admin
from .models import WalletPlatform, Wallet
class WalletInLine(admin.TabularInline):
"""
Inline admin for wallet relation
"""
model = Wallet
class WalletPlatformAdmin(admin.ModelAdmin):
list_display = ('name', )
inlines = [
WalletInLine
]
admin.... |
#!/usr/bin/env python
import sdm
import sys, random
from time import time
from sdm import Bitstring, Hardlocation
def test_uniform_distribution(qty=10000):
n = sdm.get_dimension()
v = [0]*n
for i in xrange(qty):
a = Bitstring()
for j in range(n):
v[j] += a.bitsign(j)
import... |
from .Basic import fac
def binomial(n, k):
if k > n:
return 0
if k < 0:
return 0
return float(fac(n)) / float(fac(k) * fac(n - k))
def perm(n, k):
k = float(k)
n = float(n)
if k > n:
return 0
if k < 0:
raise ValueError("k must be non-negative")
return ... |
jpy = 100
usd = jpy * 0.0094
eur = jpy * 0.0084
print(f"JPY={jpy}")
print(f"小数点以下0桁:{jpy:.0f}")
print(f"小数点以下1桁:{jpy:.1f}")
print(f"小数点以下2桁:{jpy:.2f}")
print()
print(f"USD={usd}")
print(f"小数点以下0桁:{usd:.0f}")
print(f"小数点以下1桁:{usd:.1f}")
print(f"小数点以下2桁:{usd:.2f}")
print()
print(f"EUR={eur}")
print(f"小数点以下0桁:{eur:.0f}")... |
""" Usage: call with <filename> <typename>
"""
import sys
import clang.cindex
def find_typerefs(node, typename):
""" Find all references to the type named 'typename'
"""
if node.kind.is_reference():
ref_node = node.get_definition()
if ref_node:
if ref_node.spelling == typename:... |
import re
from api.models import *
from api.serializers import *
from django.contrib.auth.models import User
from django.shortcuts import render
from rest_framework import viewsets
from rest_framework.views import APIView
from rest_framework.authentication import SessionAuthentication, BasicAuthentication
from ... |
#!/usr/bin/env python
import time,datetime
import sys
curDate= datetime.datetime(*(time.localtime(time.time()))[0:6])
for line in sys.stdin:
red=""
print line
line= line.strip()
AthleteID, FirstName, LastName, DOB, Gender, Country= line.split('\t')
if DOB!="":
date1= time.strpt... |
from django import forms
from student.models import Student
class FeeForm(forms.Form):
roll_no = forms.IntegerField()
|
import numpy as np
def mutation_tags(tags, mutpb):
"""Mutation that alters each tag with 0.1 probability."""
# Number of guides
n_guides = len(tags)
new_tags = []
for i in range(n_guides):
rnd = np.random.rand(1)[0]
if rnd <= mutpb:
new_tags.append(1-tags[i])
... |
# coding: utf-8
"""
Various import statements
"""
import os
from material.data_types.types_tryout import globals_d
from material.data_types.main import main as dt_main
from material.functions import main as fn_main_aa
|
import numpy as np
from numpy import linalg as la
import math
import os
import sys
trainlabel = []
testlabel = []
icurr = 0
icurrTest = 0
#arrTest = np.zeros((xaxis,yaxis,zmaxtesting))
#defines dimension of 3d array
abnormalTraining = 72
abnormalTesting = 48
normalTraining = 500
normalTesting = 336
i = 572 #No of... |
# Generated by Django 2.2.4 on 2019-10-08 12:34
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('webapp', '0022_notice_images'),
]
operations = [
migrations.RenameField(
model_name='notice',
old_name='files',
... |
import logging
logging.root.setLevel(logging.NOTSET)
def get_custom_console_handler():
c_handler = logging.StreamHandler()
c_handler.setLevel(logging.INFO)
c_format = logging.Formatter('%(name)s - %(levelname)s: \n%(message)s\n--------------------')
c_handler.setFormatter(c_format)
return c_handl... |
#作图用
#按照GO，将gene ID计数。并加上class 列
input_file = open("gene_swiss_GO.id")
output_file = open("go_gene_sum.count","w")
go_gene_dict = {}
for line in input_file:
text_list = (line.strip()).split("\t")
gene_id = text_list[0]
if len(text_list) != 2:
go_all = text_list[2]
go_list = go_all.split(";"... |
# -*- coding: utf-8 -*-
# Generated by Django 1.9.4 on 2016-03-21 00:04
from __future__ import unicode_literals
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('choosing', '0001_initial'),
]
operations = [
migrations.AlterField(
... |
from bs4 import BeautifulSoup
import CustomWebGen as cwg
import logging
import glob
import yaml
import os
logging.basicConfig(
level=logging.NOTSET,
format="%(asctime)s:%(levelname)s:%(name)s:%(message)s",
handlers=[logging.FileHandler("debug.log"), logging.StreamHandler()],
)
root_path="."
yaml_files = g... |
# Import the random package to randomly generate cross-over points
import random
# Import the superclass (also called base class), which is an abstract class,
# to implement the subclass BlendCrossoverOperator
import GeneticOperator
# Import the Individual package
import Individual as IND
# The subclass that inherit... |
test_case = int(input())
for _ in range(test_case):
x = int(input())
print((x + 7 - 1)//7) |
#!/usr/bin/env python3.7
import os
import sys
import subprocess
import re
acceptinput = "Y"
def environment_variables():
print("HOME: " + os.environ.get("HOME", ""))
print("PATH: " + os.environ.get("PATH", ""))
print("UNASSIGNED: " + os.environ.get("UNASSIGNED", ""))
print(sys.argv) ## Prints the pro... |
#!/bin/python
import os
import sys
if int(sys.argv[1]) == 0x1a7:
arg = "/bin/sh"
gid = os.getegid()
uid = os.geteuid()
os.setresgid(gid, gid, gid)
os.setresuid(uid, uid, uid)
os.execv("/bin/sh", [arg])
else:
print("No !")
|
# Exercício 9.2 - Livro
import sys
args = sys.argv
if len(args) != 4:
print(f'Dica: {args[0]} arquivo início fim')
else:
inicio = args[2]
fim = args[3]
nome = args[1]
file = open(nome, 'r')
for linha, dado in enumerate(file.readlines()):
if (linha + 1) >= int(inicio) and (linha + 1) <= ... |
class ListUtil:
def __init__(self, the_list):
self.the_list = the_list
def flatten(self):
""" Flatten an arbitraily nested list """
return self.__flatten(self.the_list)
def __flatten(self, the_list, buf=None):
if buf is None:
buf = list()
for item in ... |
import math
from repartition_experiments.algorithms.utils import Volume, get_file_manager, get_blocks_shape
from repartition_experiments.file_formats.hdf5 import HDF5_manager
from repartition_experiments.algorithms.utils import get_opened_files
def get_entity_sizes(cs, bytes_per_voxel, partition):
bs = cs[0] * cs... |
#!/usr/bin/env python
import numpy as np
import csv
from model import NB_Classifier
import time
# import the required packages here
def run(Xtrain_file, Ytrain_file, test_data_file=None, pred_file=None):
'''The function to run your ML algorithm on given datasets, generate the predictions and save them into the pro... |
from random import randint
class Hospital(object):
def __init__(self, name, capacity):
self.patients = []
self.name = name
self.capacity = capacity
def admit(self, patient):
if len(self.patients) >= self.capacity:
print "The hospital is full."
else:
self.pat... |
# GIF Creator A program that puts together multiple images (PNGs, JPGs, TIFFs) to make a smooth GIF that can be exported
# Optional: Make the program convert small video files to GIFs as well.
# import the library
from appJar import gui
from tkinter import *
from PIL import Image, ImageTk
import imageio
# ... |
import json
import os
import sys
import time
from http import HTTPStatus
from os import path
from typing import List
import requests
import yaml
from flask import Flask, Response, abort
from flask import request
import re
from logging.config import dictConfig
dictConfig({
'version': 1,
'formatters': {'defau... |
class Estado():
def __init__(self):
print ("estado atual: " + str(self))
def __str__(self):
return self.__class__.__name__
# estado 1
class link_down(Estado):
def on_event(self, event):
if event == 'interface_ok':
return send_start()
print ("estado atual: " +... |
# Output handler for solver statistics
import numpy as np
from ..DREAMException import DREAMException
from ..DataObject import DataObject
import DREAM.Settings.Solver
class Solver:
def __init__(self, solverdata=None, output=None):
"""
Constructor.
"""
self.solverdata = None... |
from pydantic import BaseModel
class UserModel(BaseModel):
nanoid: str
name: str
username: str
password: str
class PostModel(BaseModel):
nanoid: str
post: str
user: str
replyTo: str
isReply: bool
|
from django.shortcuts import render
from .models import Film, Review
from django.views.generic import ListView, DetailView, CreateView
from django.contrib.auth.views import LoginView, LogoutView
from django.views.generic import TemplateView
from .forms import RegistrationForm, LoginForm
from django.contrib.auth.models ... |
# transcendental.py
# Adrian Del Maestro
# 09.13.2012
# A graphical solution of a transcendental equation
import matplotlib.pyplot as plt
import numpy as np
plt.style.use('notebook');
x_sol = []
# ----------------------------------------------------------------------------
def trans(x,a):
''' A transcendental... |
import os
from definitions import NOMENCLATURES_DIR
from definitions import TRAINING_DIR
from definitions import TFIDF_NATIONALITIES_DIR
import definitions
import wsdm.ts.helpers.persons.persons as p_lib
def init_dictionary():
nationalities = {}
with open(os.path.join(NOMENCLATURES_DIR, 'nationalities.txt'), e... |
class GameWorker(webapp2.RequestHandler):
def post(self):
players={} |
# 배열 array의 i번째 숫자부터 j번째 숫자까지 자르고 정렬했을 때, k번째에 있는 수를 구하려 합니다.
# 예를 들어 array가 [1, 5, 2, 6, 3, 7, 4], i = 2, j = 5, k = 3이라면
# array의 2번째부터 5번째까지 자르면 [5, 2, 6, 3]입니다.
# 1에서 나온 배열을 정렬하면 [2, 3, 5, 6]입니다.
# 2에서 나온 배열의 3번째 숫자는 5입니다.
# 배열 array, [i, j, k]를 원소로 가진 2차원 배열 commands가 매개변수로 주어질 때, commands의 모든 원소에 대해 앞서 설명한 연산을 ... |
from scrapUtil import get_pages, get_tables
class Train():
def __init__(self, id):
self.id = id
|
class Rectangulo:
def __init__(self, base, altura):
self.base = base
self.altura = altura
def area(self):
return print("El area del rectangulo es:", self.base*self.altura)
baseRectangulo = int(input("Ingrese la base del rectangulo: "))
alturaRectangulo = int(input("Ingrese la altur... |
#Accept two numbers from user and print their GCD and LCM
def GCD_LCM(no1,no2):
if no1<=0 or no2<=0:
return
lcm=1
i=2
temp1=no1
temp2=no2
while(no1!=1 or no2!=1):
if no1%i==0 or no2%i==0:
lcm*=i
else:
i+=1
continue
if no1%i==0:... |
class HumanObject:
def __init__(self, weight, cost):
self.weight = weight
self.cost = cost
def __str__(self):
result = f"HumanObject for backpack with weight of: {self.weight} and cost of: {self.cost}"
return result
if __name__ == '__main__':
size = 20... |
# coding:utf-8
def handle(event, context):
print("done")
|
# from multiprocessing import set_start_method
# set_start_method("spawn")
import tarfile
import os
import sys
import pickle
#import tensorflow as tf
from datetime import datetime
from multiprocessing import Pool
from multiprocessing import Process
import multiprocessing
import getopt
from itertools import repeat
impor... |
import tensorflow as tf
from nolearn.lasagne import BatchIterator
class Trainer:
def __init__(self, graph_model, epochs, batch_size, logdir, save_path, val_epoch=100, save_epoch=200):
self.graph_model = graph_model
self.epochs = epochs
self.val_epoch = val_epoch
self.save_epoch = s... |
import socket
IP = '10.2.2.243' # 修改为别人的 IP PORT
port = 29529
address = (IP, port)
cli = socket.socket(socket.AF_INET, socket.SOCK_STREAM)
cli.connect(address)
while True:
msg=input('type your msg')
msg='C罗：{}'.format(msg)
cli.send(msg.encode('utf8'))
remsg= cli.recv(1024)
print(remsg.decode('utf8'... |
import os
import re
import shutil
from PIL import Image
from PIL import ImageOps
from tqdm import tqdm
import time
def ResizeToSquare(path):
desired_size = 1024
im = Image.open(path)
old_size = im.size # old_size[0] is in (width, height) format
ratio = float(desired_size) / max(old_s... |
import os
from obfuscator_source.python_obfuscator import Obfuscator
from shutil import copy
import ntpath
class File:
def __init__(self, file_path, new_file_path):
self.file_path = file_path
self.extension = self.__extract_file_extension()
self.file_name = self.__extract_file_name()
... |
# -*- coding: utf-8 -*-
"""
Created on Thu Jan 16 10:04:01 2020
@author: KelvinOX25
"""
import pyvisa
import time
import logging
import numpy as np
import struct
from qcodes import VisaInstrument, validators as vals
from qcodes.instrument_drivers.Keysight.Keysight_B2962A import B2962A
class B2962A_Isrc(B2962A):
... |
from sys import argv
if len(argv) != 3:
print("usage: ./converter.py <in> <out>")
exit(-1)
data = []
with open(argv[1], "r") as f:
for l in f:
data.append(int(l, 16))
with open(argv[2], "w") as f:
for x in data[2:]:
f.write("%08x\n"%x)
f.write("00c00093\n")
f.write("00008067\n")
|
import numpy as numpy
import cv2
import matplotlib.pyplot as plt
from matplotlib.ticker import NullFormatter
from scipy.special import erfc
import sys
import logging
logging.basicConfig(stream=sys.stderr, level=logging.DEBUG)
#size of constellation (N symbols per frame; N frames per constellation)
N=64
im... |
import unittest
from katas.kyu_7.radio_dj_helper_function import longest_possible
class LongestPossibleTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(longest_possible(215), 'For Reasons Unknown')
def test_equals_2(self):
self.assertEqual(longest_possible(270), 'YYZ')
... |
#!/usr/bin/env python3
import argparse
import sys
import os
our_version = 10
def do_version():
return '{}.0.0'.format(our_version)
def do_components():
return 'all all-targets analysis asmparser asmprinter binaryformat bitreader bitwriter codegen core coroutines coverage debuginfocodeview debuginfodwarf debuginfo... |
import unittest
from katas.kyu_5.first_non_repeating_letter import first_non_repeating_letter
class FirstNonRepeatingLetterTestCase(unittest.TestCase):
def test_equal_1(self):
self.assertEqual(first_non_repeating_letter('a'), 'a')
def test_equal_2(self):
self.assertEqual(first_non_repeating_... |
# Day 2: I Was Told There Would Be No Math
# <ryc> 2021
import re
def inputdata():
with open('day_02_2015.input') as stream:
data = stream.readlines()
data = [ [ int(number) for number in re.findall('\d+', line) ] for line in data ]
return data
def get_wrapping_paper(data):
count = 0
... |
import sys
import time
def lazy_evaluation(n):
print("1 sec")
time.sleep(1)
return n
"""Iterator 와 Generator 의 차이"""
n_list = [lazy_evaluation(n) for n in range(1, 6)]
for i in n_list:
print(i)
n_generator =(lazy_evaluation(n) for n in range(1,6))
for j in n_generator:
print(j)
x_ran... |
from file.content import ContentManager
from parser import ServerHttpRequest, ServerHttpResponse
from conf.basic import SUPRESS_EXCEPTION
def process_request((client_socket, addr), server):
try:
req_msg = read_socket(client_socket)
http_req = ServerHttpRequest(req_msg)
proto_version = htt... |
operation=input("Dime la operación (multiplicacion, suma, resta, division):")
first_number=float(input("Primer número: "))
second_number=float(input("segundo número: "))
if operation == "multiplicacion":
result=first_number*second_number
print("el resultado es: {}".format(result))
elif operation == "suma":
... |
# -*- coding=utf-8 -*-
'''
Created on 20171031
@author: leochechen
@summary: ctf全局变量
'''
import weakref
import threading
from functools import wraps
# 线程级全局变量，该变量会存储CTF Server和Client连接中
CTFWorkerLocal = threading.local()
# CTF全局字典
CTFGlobal = {}
# CTF全局互斥锁
CTFLock = threading.Lock()
# 获取当前线程的local变量的弱引用
def get_we... |
def main():
year = 1900
month = 1
months_30 = [4,6,9,11]
day = 1
i = 1
sunday_counter = 0
while True:
if month in months_30:
limit = 30
elif month == 2:
limit = 28
if year%4==0 and year % 100 !=0:
limit = 29
if year%400 == 0:
limit = 29
else:
limit = 31
if i > limit:
i = 1
mo... |
from pyscrap3.spiders import Spider
from pyscrap3.spiders import Item
from pyscrap3.spiders import ItemList
|
import time
import pandas as pd
import numpy as np
from IPython.display import display
CITY_DATA = { 'chicago': 'chicago.csv',
'new york city': 'new_york_city.csv',
'washington': 'washington.csv' }
def get_filters():
"""
Asks user to specify a city, month, and day to analyze.
... |
import subprocess
subprocess.call(['./first.sh'])
|
import uuid
from datetime import datetime
from django.db import models
from django.template.defaultfilters import slugify
from django.contrib.sites.shortcuts import get_current_site
from django.utils.functional import SimpleLazyObject
from django.conf import settings
from django.core.exceptions import ObjectDoesNotExi... |
aluno = dict()
aluno['nome'] = str(input('Nome: '))
aluno['media'] = float(input('Media: '))
if aluno['media'] >= 7:
aluno['situaçao'] = "aprovado"
else:
aluno['situaçao'] = "Reprovado"
for x, y in aluno.items():
print(f'-{x} é igual a {y}')
print(aluno.keys())
print(aluno.values())
|
def main():
print("This programs generates usernames from a file of names")
infilename = input("Which file has all the names: ")
outfilename = input("Place usernames in this file: ")
infile = open(infilename, "r")
outfile = open(outfilename, "w")
for i in infile:
uname = i.upper()
... |
import os
import json
import requests
from requests.auth import HTTPBasicAuth
DEFAULT_API_URL = 'http://localhost:8080'
class HttpClient(object):
def __init__(self, username="", password="", api_url=DEFAULT_API_URL, create_user=True):
self.api_url = api_url
self.username = username
self... |
temp.py
import random
import numpy as np
import cv2
import matplotlib.pyplot as plt
img = cv2.imread('test2.png',0)
delete_freq=5
i=0
def feature_sparsity(img):
akaze = cv2.AKAZE_create(threshold=0.0... |
######################################################################
############### Naive Bayes Classifier ###############################
######################################################################
import math
import numpy as np
from sklearn import datasets
from sklearn.decomposition import PCA
# load... |
# -*- coding: utf-8 -*-
"""
Created on Wed Oct 23 15:26:46 2019
@author: Valeria
"""
import iv_save_module as ivs
import iv_utilities_module as ivu
import matplotlib.pyplot as plt
#%% Parameters
this_filename = 'C:\\Users\\Valeria\\OneDrive\\Labo 6 y 7\\Análisis\\Potencia_M_20191018_10\\Resultados.txt'
#%% Load da... |
'''
Convert CSV to COCO (test)
'''
import os
import json
import argparse
import numpy as np
import pandas as pd
import glob
import os
import shutil
from IPython import embed
from sklearn.model_selection import train_test_split
classname_to_id = {'Aortic enlargement':0, 'Atelectasis':1, 'Calcification':2, 'Cardiomegal... |
import sys
# methods
def init_Snap(archived_pnt, value, trade_date, time,POSITIVE_DEV,NEGATIVE_DEV):
prev_val = float(archived_pnt['value'])
prev_time = int(archived_pnt['time_value'])
time = int(time)
value = float(value)
Smax = (value+POSITIVE_DEV*value-prev_val)/(time-prev_time)
Smin = (valu... |
# Copyright (c) 2017-2023 Digital Asset (Switzerland) GmbH and/or its affiliates. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
# fmt: off
# isort: skip_file
from .object_meta_pb2 import ObjectMeta
from .config_management_service_pb2 import GetTimeModelRequest, GetTimeModelResponse, SetTimeModelRequest, S... |
#!/usr/bin/python
import sys
import csv
from datetime import datetime
## Convert a string to datetime
def toDatetime(date):
return datetime.strptime(date[:-3], '%Y-%m-%d %H:%M:%S.%f')
reader = csv.reader(sys.stdin, delimiter="\t")
for entry in reader:
author_id = entry[3]
added_at = entry[8]
## If we have ... |
class OutOfRange(Exception):
"""Raised when resulting *progress* is more than *total* value."""
def __init__(self):
super(OutOfRange, self).__init__(
"resulting progress is out of range"
)
class DoesNotExist(Exception):
"""Raised when requested Celery task does not exist.
... |
#! /usr/bin/env python3
import argparse, sys, os, time, urllib, urllib.request, urllib.parse, json
from pyclustering.cluster import cluster_visualizer
from pyclustering.cluster.optics import optics
from pyclustering.utils import read_sample
# return list of path files from argument string, space delimitted
def fileli... |
import numpy as np
from dataserver import get_file
from demo_helpers import generate_rank1_data, generate_rank2_data
f = get_file('accumulating_test.h5').get_numbered_child()
f.create_dataset('line', rank=1)
f.create_dataset('img', rank=2)
for x, trace in zip(generate_rank1_data(), generate_rank2_data()):
#time... |
import os
from dropbox.client import DropboxClient
from dropbox.datastore import DatastoreManager, DatastoreConflictError
from bottle import route, request, static_file, run, template, TEMPLATE_PATH
from config import DROPBOX_TOKEN, IMAGES_PATH, MAX_RETRIES
from Logger import _logger
import datetime
@route('/')
def ro... |
# -*- coding: utf-8 -*-
class UnionFind:
def __init__(self, n):
self.ids = list(range(n))
self.sizes = [1] * n
def root(self, i):
while i != self.ids[i]:
self.ids[i] = self.ids[self.ids[i]]
i = self.ids[i]
return i
def union(self, p, q):
i,... |
import os
from telethon.sessions import StringSession
from telethon.sync import TelegramClient
from dotenv import load_dotenv
load_dotenv()
api_id1 = int(os.getenv("api_id1"))
api_hash1 = str(os.getenv("api_hash1"))
with TelegramClient(StringSession(), api_id1, api_hash1) as client:
print("Скопируйте код 1 сесси... |
import sys
from PyQt5.QtWidgets import (
QDialog,
QDialogButtonBox,
QLabel,
QVBoxLayout,
QMessageBox
)
class CustomDialog(QDialog):
icon_dict = {
'info' : QMessageBox.Information,
'question' : QMessageBox.Question,
'warning' : QMessageBox.Warning,
'critical' : QM... |
# Generated by Django 3.2.12 on 2022-03-20 12:40
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('osmcal', '0029_alter_event_description'),
]
operations = [
# This deletes already existing duplicates in the DB:
migrations.RunSQL("""
... |
from Tested_Method.MethodToTest import working_function_3
from unittest.mock import patch
import pytest
TESTED_MODULE = 'Tested_Method.MethodToTest'
# mocking just the public function
# if you have functions such as: connection to DB ecc that executes in more tests we can create fixture
# pre-processing for test
@patc... |
# Example directly sending a text string:
import requests
r = requests.post(
"https://api.deepai.org/api/summarization",
data={
'text': 'YOUR_TEXT_HERE',
},
headers={'api-key': '79728e79-d56e-40bc-be98-ece560a7dd3c'}
)
print(r.json()) |
from unittest import TestCase
import os
from graph_db.access import db
from graph_db.engine.api import EngineAPI
from graph_db.engine.error import GraphEngineError
from graph_db.engine.types import DFS_CONFIG_PATH
class ParserCase(TestCase):
temp_dir = 'db/'
queries = [
'create graph: test_graph',
... |
__author__ = 'Justin'
import geojson
import networkx as nx
from geopy.distance import vincenty as latlondist
# DESCRIPTION:
# This script converts geojson road geometry files to a tractable networkx object (.gexf)
# Geojson map data such as node positions, edge connections, edge types, max speeds, and edge names are ... |
# Generated by Django 2.2.6 on 2019-10-19 11:01
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('checkout', '0006_shippingaddress_current_address'),
('carts', '0001_initial'),
]
operations = [
mig... |
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import sys
import types
import unittest
import uuid
from contextlib import contextmanager
from dataclasses import dataclass
from typing import Any
from pkg_resources import (
Distribu... |
import cv2
citra = cv2.imread('PVHotSpot.jpg')
citra1 = cv2.imread('PVHotSpot.jpg', cv2.IMREAD_GRAYSCALE)
if not citra is None:
cv2.imshow('Gambar Seek Thermal.png', citra1)
cv2.imshow('Gambar convert gray scale', citra)
cv2.waitKey(0) |
from mongoengine import *
from login import User
class Post(Document):
"""
A post is the last object in the big list of referenced fields.
It works like this,
one Board has many Categories
one Category has many topics (threads)
one Thread has many Posts
one Post has one User
"""
au... |
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