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import numpy as np
class shape:
def __init__(self, coordinates, rgba=(0,0,0,1), closed_shape=True):
self.coordinates = coordinates
self.rgba = rgba
self.closed_shape = closed_shape
class point(shape):
pass
class line(shape):
pass
class polygon(shape):
pass
class Bezier(s... |
import frag_tracker
tracker = frag_tracker.FragTracker()
tracker.execute()
|
import os
from datetime import time
from html_dloader import HtmlDLoader
class HtmlOutputer:
def __init__(self):
self.dLoader = HtmlDLoader()
pass
def output_cont(self, title, cont):
if title is None:
title = time.time()
fout = open('%s.txt' % title, 'w')
... |
import argparse
import os
import shutil
import sys
import zipfile
#getAll()-It is a generator that's looking for all the files and directories from 'root' and will exclude
#the files that have the prefix == 'exclude'.
def getAll(root,exclude):
list=os.listdir(root)
for item in list:
path=os.path.join(... |
import exputils
import autodisc as ad
import numpy as np
import os
def calc_statistic_space_representation(repetition_data):
# load representation
data = []
config = ad.representations.static.PytorchNNRepresentation.default_config()
config.initialization.type = 'load_pretrained_model'
config.init... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 07/02/2018 6:21 PM
# @Author : Lee
# @File : binary_search.py
# @Software: PyCharm
def binary_search(lists, target):
l = 0
r = len(lists) - 1
while l <= r:
mid = l + (r - l) // 2
if lists[mid] == target:
return mid... |
import time
from goto import with_goto
from temp import *
def open_dairy(dairy):
f=open(f"{dairy}.txt","a+")
ch=0
while(ch!=3):
ch=int(input("\nWelcome to your dairy:\n\t1.Read \n\t2.Write \n\t3.Exit\n\t\t"))
if ch==1:
f.seek(0)
a=f.readlines()
... |
x = float(input('Qual o valor da casa? '))
y = float(input('Qual o salário do comprador? '))
z = int(input('Em quantos anos vai ser pago? '))
tp = (x / z) / 12
v = (30 * y) / 100
if tp > v:
print('Pra pagar uma casa de R${} em {} anos, a prestação será de R${:.2f}'.format(x, z, tp))
print('Empréstimo NEGADO')
e... |
#-*-coding:utf-8-*-
"""
@author: liaoxingyu
@contact: sherlockliao01@gmail.com
"""
from bisect import bisect_right
import torch
import torch.optim.lr_scheduler as lr_scheduler
import torch
import torchvision
import matplotlib.pyplot as plt
# FIXME ideally this would be achieved with a CombinedLRScheduler,
# separat... |
#!/usr/bin/env python
import yaml
import sys
print(yaml.safe_load(open(sys.argv[1])))
|
#!/usr/bin/python
import sys
def filestats(f):
lines = 0
words = 0
chars = 0
for line in f:
lines += 1
w = line.split()
words += len(w)
for word in w:
chars += len(list(word))
print 'Lines:', lines
print 'Words:', words
print 'Characters:', chars... |
from datetime import datetime,timedelta
from django.core.management.base import BaseCommand, CommandError
from django.contrib.auth.models import User
from garmin.models import UserGarminDataSleep
from quicklook.tasks import generate_quicklook
class Command(BaseCommand):
'''
Management command to generate raw data ... |
import win32com.client
import pythoncom
class XASessionEvents:
logInState = 0
def OnLogin(self, code, msg):
print("OnLogin method is called")
print(str(code))
print(str(msg))
if str(code) == '0000':
XASessionEvents.logInState = 1
def OnLogout(self):
prin... |
import logging
from flask import Flask
app= Flask(__name__)
@app.route('/')
def hello():
#print("Hello Falsk")
return "Hello Youtube"
if __name__=="__main__":
app.run(host='127.0.0.1',port=8080,debug=True) |
import math
from datetime import datetime
from pymongo import MongoClient
from threading import Thread
CRIME_CATEGORIES = {
"MISCELLANEOUS": 1,
"LARCENY": 3,
"FRAUD": 0,
"DAMAGE TO PROPERTY": 4,
"ASSAULT": 5,
"MURDER/INFORMATION": 6,
"AGGRAVATED ASSAULT": 6,
"WEAPONS OFFENSES": 2,
... |
import collections
import glob
import os
import random
from tqdm import tqdm
random.seed(12345)
# import numpy as np
# np.set_printoptions(threshold=np.nan)
def read_voxceleb_structure(directory, test_only=False, sample=False):
voxceleb = []
speakers = set()
for subset in os.listdir(directory):
... |
from sqlalchemy import create_engine, Column, Integer, VARCHAR, Sequence
from sqlalchemy.ext.declarative import declarative_base
from sqlalchemy.orm import sessionmaker
engine = create_engine('sqlite:///newfeatures.db')
Base = declarative_base()
# Builds the table
class Features(Base):
__tablename__= 'features'... |
print('{==============calculadora============')
num = int(input('Digite um número:'))
print('{} x 1 = {}\n{} x 2 = {}\n{} x 3 = {}'.format(num, num*1, num, num*2, num, num*3))
print('{} x 4 = {}\n{} x 5 = {}\n{} x 6 = {}'.format(num, num*4, num, num*5, num, num*6))
print('{} x 7 = {}\n{} x 8 = {}\n{} x 9 = {}'.format(n... |
# -*- coding: utf-8 -*-
# Python Keyphrase Extraction toolkit: unsupervised models
from __future__ import absolute_import
from supervised.api import SupervisedLoadFile
from supervised.feature_based.kea import Kea
from supervised.feature_based.topiccorank import TopicCoRank
from supervised.feature_based.wingnus import... |
import numpy as np
from scipy.misc import imread
def load_images():
""" Load the HST images and make them presentable."""
im1 = imread('lens1.jpg')
im1 = [ im1[:,:,2], im1 ]
im1[0][300:450,400:550] = im1[0].mean()
im1[0]=im1[0][100:-100,100:-100]
im1[1] = im1[1][100:-100,100:-100,:]
im2 = imread('lens2.jpg')... |
import socket
HEADER_LENGTH = 3
IP = socket.gethostname()
PORT = 2000
#Set up client details
my_username = input("Please enter your USERNAME: ")
username = my_username.encode("utf-8")
username_header = f"{len(username):<{HEADER_LENGTH}}".encode("utf-8")
client_socket = socket.socket(socket.AF_INET, socket.S... |
charity_search_key = "98d8c2f044592075251da6b0b146ef2e"
just_giving_appid = "98927271"
charity_navigator_key = "8186b309" |
# Copyright 2019 Open Source Robotics Foundation, 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.org/licenses/LICENSE-2.0
#
# Unless required by applicable law... |
import urllib2
import re
symbolfile = open('nasdaqlisted.txt')
symbolslist = symbolfile.readlines()
symbolslist = [x.split('|')[0] for x in symbolslist]
print symbolslist
i = 0
while i < len(symbolslist):
htmlfile = urllib2.urlopen("http://finance.yahoo.com/q?s=%s&ql=1" % symbolslist[i])
htmltext = htmlfile.r... |
from typing import List
from leetcode import TreeNode, test, new_tree, sorted_list
def binary_tree_path(root: TreeNode) -> List[str]:
if not root:
return []
stack, results = [], []
def helper(node: TreeNode) -> None:
nonlocal stack, results
stack.append(node.val)
if not... |
""" HPGL2のデータ用クラス
"""
from typing import List, Tuple, Optional, Union
import math
from fig_package.format.ynf.element.cYnfElment import cYnfElement
from ..ynf import cYnf
from ..ynf import cYnfText, cYnfLine, cYnfPolyline, cYnfBox, cYnfCircle, cYnfArc
BP_PIC_NAME = 'BP Picture name'
PS_LENGTH = 'PS Length'
PS_WIDTH... |
from flask import jsonify
from psycopg2 import IntegrityError
from app.DAOs.PhoneDAO import PhoneDAO
from app.DAOs.ServiceDAO import ServiceDAO
import phonenumbers
PHONETYPEKEYS = ['E', 'L', 'F', 'M']
SERVICEPHONEKEYS = ['numbers']
def _buildPhoneResponse(phone_tuple):
"""
Private Method to build phone numbe... |
import os
import json
path = "/mnt/SC/ASC/task3/ELE/dev/"
files = os.listdir(path)
map_ans = {'A':0,'B':1,'C':2,'D':3}
multi_file = []
def is_multi(candidate):
for j in candidate:
if len(j.split()) >= 2:
return True
return False
# 找出 multi_file
for file in files:
with open(path+file,"... |
# -*- coding: utf-8 -*-
import os
import os.path
import requests
import shutil
import time
from behave import given, then
from subprocess import check_output, CalledProcessError, STDOUT
def copytree(src, dst):
"""Variant of shutil.copytree() that works when ``dst`` already exists."""
print('Copying tree "... |
lis=[]
def menu():
print(format("menu","=^35"))
print("1.To Add new element")
print("2.To Delete element")
print("3.To Find node value")
print("4.To Exit program")
print(format("=====","=^35"))
def add(element):
lis.append(element)
def delet(element):
lis.remove(element)
... |
from rest_framework import routers
from .views import DeviceViewSet, PositionView
from django.urls import path, include
router = routers.SimpleRouter(trailing_slash = False)
router.register(r'devices', DeviceViewSet, basename = 'device')
urlpatterns = [
path(r'', include(router.urls)),
path(r'position', Po... |
import datetime
# Simulation de données que l'on pourrait récupérer d'une base de données
data = [
["Josette", "Martin", 25, False],
["Robert", "Durand", 45, True],
["Lucien", "Pinard", 33, True],
]
# Modèle permettant de créer des objets (instances) représentant des personnes
class Person:
# Propriét... |
#!/usr/bin/env python
import ROOT
import joblib
import pandas as pd
import mputils
def scale_by_bw(h):
print(h.GetName())
h.Sumw2()
for ib in range(1, h.GetNbinsX()+1):
v = h.GetBinContent(ib)
h.SetBinContent(ib, v / h.GetBinWidth(ib))
e = h.GetBinError(ib)
h.SetBinError(ib, e / h.GetBinWidth(ib))
def plo... |
from googlevoice import Voice
import time
from googlevoice.util import input
voice = Voice()
voice.login()
for x in xrange(0,10):
for y in xrange(0,10):
voice.send_sms("5555512%s%s" % (`x`,`y`), "Add your message here")
time.sleep(10) #so Google won't rate limit
|
def get_a_down_arrow_of(n):
output = ''
for x in range(n,0,-1):
output += ' '*((x-n)*-1)
for i in range(1,x):
output += str(i%10)
for k in range(x,0,-1):
output += str(k%10)
output += '\n'
return output[:-1]
'''
Given a number n, make a down arrow sh... |
from Conv_Net.two_dim_resnet import make_two_dim_resnet
from Transformer_Net import Prot_Transformer
import torch.nn as nn
import torch
from torch.utils.checkpoint import checkpoint_sequential as cp_seq, checkpoint as cp
class Final_Net(nn.Module):
'''Putting the whole model together.'''
def __... |
import cdutil,cdms2
import cdtime
import numpy as np
from mpi4py import MPI
from regrid2 import Regridder
modelFolder = '/Users/joshsims/gcModels/maurer_daily'
outfolder = '/Users/joshsims/gcModels/extremes/'
realization = '01'
tempFileDict = {}
tmaxFileDict = {}
tminFileDict = {}
precipFileDict = {}
tmaxDict = {}
tmin... |
n=int(input("Enter number n : "))
for i in range(5):
m=int(input("Enter factor to check : "))
if(n%m==0):
print(m," is factor")
else:
print(m," is not a factor")
|
import re
ans = re.findall(r'[aeiouAEIOU]{2,}',input(),flags = re.I)
if(ans == []):
print("-1")
else:
print(*ans,sep='\n')
# import re
# v = "aeiou"
# c = "qwrtypsdfghjklzxcvbnm"
# m = re.findall(r"(?<=[%s])([%s]{2,})[%s]" % (c, v, c), input(), flags = re.I)
# print('\n'.join(m or ['-1'])) |
# -*- coding: utf-8 -*-
class Solution:
def countBattleships(self, board):
result = 0
if not board or not board[0]:
return result
for i in range(len(board)):
for j in range(len(board[0])):
result += (
1
if (
... |
#!/usr/bin/env python3
import mpi4py
mpi4py.rc.recv_mprobe = False
from mpi4py import MPI
from socket import gethostname
from random import random as r
from math import pow as p
from sys import argv
# Initialize MPI stuff
comm = MPI.COMM_WORLD
size = comm.Get_size()
rank = comm.Get_rank()
# Make sure number of attemp... |
import sys
import re
#from numpy import matrix
#import numpy as np
from pyeda.inter import *
n = 4
k = 0
#n, k = [int(x) for x in input("Enter two numbers here: ").split()]
print (n)
print (k)
'''
matrix = [['A', 'B', 'C'],
['D', 'E', 'F'],
['G', 'H', 'I']]
'''
matrix = [['A', 'B', 'C', '1'],
... |
from django.contrib import admin
from .models import Course, Teacher, Classroom, Student, LevelField, TeacherClassCourse, StudentCourse, Register, ClassTime
class TeacherAdmin(admin.ModelAdmin):
# list_display = ('user', 'hire_date', 'profession')
# list_filter = ('user', 'hire_date', 'profession')
# sear... |
OUTPUT = 'ko{}-{}ntti'.format
VOWELS = frozenset('aeiouyAEIOUY')
def kontti(s):
result = []
for word in s.split():
dex = next((i for i, a in enumerate(word) if a in VOWELS), -1) + 1
result.append(OUTPUT(word[dex:], word[:dex]) if dex else word)
return ' '.join(result)
|
# identify the data type in python
# type() function
from math import *
# https://www.w3schools.com/python/python_syntax.asp
# SOME ARE REPETED
bo = (1,2,3,4,5,6,7,8,9,10)
print(type(bo))
print('_________',bo,'___________')
bo_1 = 'Jeewan'
print(type(bo_1))
print('_________',bo_1,'___________')
bo_2 = ['Jeewan', 'Dee... |
from flask import Flask ,render_template,flash,redirect,request,url_for
import mysql.connector
# from datetime import datetime
try:
print("connected")
connection = mysql.connector.connect(user='root', password='Password@123', host='localhost', database='data')
print("connected")
cur = connection.cursor(buffered=T... |
# encoding=utf-8
import numpy as np
from numpy.linalg import *
def main():
print(np.eye(3)) #单位矩阵
print('线性方程组')
lst = np.array([[1,2],[3,4]])
print('Inv矩阵的逆:')
print(inv(lst))
print("T矩阵转置:")
print(lst.transpose())
print("T矩阵行列式:")
print(det(lst))
print("T矩阵特征值:特征向量")
... |
from PyQt5.QtGui import QPixmap
from ui_msgbox import *
from socket import *
class MsgBoxWindow(QtWidgets.QWidget,Ui_msgbox):
message =[]
def __init__(self,msg,parent=None):
super(MsgBoxWindow, self).__init__(parent)
self.setupUi(self)
self.message = msg
self.loadmsg(msg)
... |
__authors__ = ""
__copyright__ = "(c) 2014, pymal"
__license__ = "BSD License"
__contact__ = "Name Of Current Guardian of this file <email@address>"
USER_AGENT = 'api-indiv-0829BA2B33942A4A5E6338FE05EFB8A1'
HOST_NAME = "http://myanimelist.net"
DEBUG = False
RETRY_NUMBER = 4
RETRY_SLEEP = 1
SHORT_SITE_F... |
#coding:utf-8
#!/usr/bin/env python
import copy
from gclib.utility import currentTime, drop
from game.utility.config import config
from game.routine.pet import pet
from game.routine.vip import vip
class educate:
@staticmethod
def start(usr, edupos, cardid):
"""
开始训练
"""
inv = usr.getInventory()
card = i... |
from django.db import models
from django.contrib.auth.models import User
from django.utils import timezone
# Create your models here.
class Works(models.Model): #儲存手工藝品資料
class Meta:
permissions = (
("add_add_works", "add_add_works"), # 只有一個權限時，千萬不要忘了逗號！
)
Title = models.CharField(max_lengt... |
import sys
sys.path.insert(0, 'Serializers')
from yaml_serializer import YamlSerializer
from pickle_serializer import PickleSerializer
from json_serializer import JsonSerializer
from toml_serializer import TomlSerializer
class Factory():
@staticmethod
def create_serializer(s_name):
if (s_name == "json... |
import numpy as np
import cv2 as cv
import matplotlib.pyplot as plot
import operator
import os
imgListt = np.full((28,28), 0)
testImg = cv.imread("E:/cut_ImgsTest/28pix/T"+str(7)+".jpg")
for index1 in range(len(testImg)):
for index2 in range(len(testImg[index1])):
if(testImg[index1][index2][2] < 90):
... |
#!/usr/bin/env python
"""
An axes used to jointly format Cartesian and polar axes.
"""
# NOTE: We could define these in base.py but idea is projection-specific formatters
# should never be defined on the base class. Might add to this class later anyway.
from ..config import rc
from ..internals import _pop_kwargs
from .... |
#!/usr/bin/env python2
#
# The MIT License (MIT)
#
# Copyright (c) 2014 Fam Zheng <fam@euphon.net>
#
# Permission is hereby granted, free of charge, to any person obtaining a copy of
# this software and associated documentation files (the "Software"), to deal in
# the Software without restriction, including without lim... |
import urllib2
from bs4 import BeautifulSoup
import re
import sys
reload(sys)
sys.setdefaultencoding('utf-8')
#txt_path = r"/Users/zhoufengting/Desktop/href_2013_2014.txt"
#fp = open(txt_path)
#print len(fp)
#for line in fp:
#print line
url = r"http://www.eurosport.com/football/ligue-1/2013-2014/montpellier-hsc-pa... |
from importlib import import_module
from django.conf import settings
from django.contrib.auth.base_user import BaseUserManager
from django.contrib.auth.models import AbstractUser
from django.contrib.auth.models import UserManager as AuthUserManager
from django.contrib.auth.signals import user_logged_in
from dja... |
from sqlite3.test import factory
l=[1,2,3,4]
s="hola mundo"
l3=(c * num for c in s
for num in l
if num >0)
print l3.next()
for letra in l3:
print letra
def factorial(n):
i =1
while n >1 :
i =n*i
yield i
n-=1
for e in factorial(5):
... |
def solution(n):
count =0
ans = 0
while(n>0):
count+=1
if(n&1):
temp = 1<<(32-count)
ans+=temp
n = n>>1
return ans
n = int(input())
ans = solution(n)
print(ans,end="\n")
|
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Sun Mar 11 22:01:04 2018
@author: panzengyang
"""
import SVM_cv
import Perceptron_cv
import msg2matrix as mx
from sklearn.metrics import hinge_loss
from sklearn.linear_model import Perceptron
from sklearn.svm import SVC
from sklearn.feature_extraction.text ... |
from numpy import diag, sqrt
from numpy.linalg import inv
class ExtendedKalmanFilter:
def __init__(self, state_means, state_covariances,
transition_means_lambda, transition_means_jacobi_lambda, transition_covariances_lambda,
observation_means_lambda, observation_means_jacobi_lamb... |
import jieba
import jieba.posseg as pseg
jieba.load_userdict('./dict.txt')
# get the origin data
def getTheOriginData(path):
with open(path,encoding='UTF-8') as file_object:
contents = file_object.read()
##split the data by line
lines = contents.split('\n')
##the labels
labels = []
##t... |
#
# Copyright © 2021 Uncharted Software 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.org/licenses/LICENSE-2.0
#
# Unless required by applicable l... |
from __future__ import absolute_import, division, unicode_literals
from mimic.model import cloudfeeds
from twisted.trial.unittest import SynchronousTestCase
from testtools.matchers import (MatchesSetwise, MatchesDict, Equals)
class TestCloudFeeds(SynchronousTestCase):
def setUp(self):
self.cf = cloudfeed... |
import numpy as np
def temptable_template(df, sql, DB):
"""
This function takes a dataframe, a stub bit of a bulk sql insert e.g.
INSERT INTO mytable VALUES
and turns the datafame into the requisite string that follows and concatenates it all together.
:param df: The dataframe we are going to ... |
import pytest
from responder import routes
@pytest.mark.parametrize(
"route, expected",
[
pytest.param("/", False, id="home path without params"),
pytest.param("/test_path", False, id="sub path without params"),
pytest.param("/{test_path}", True, id="path with params"),
],
)
def te... |
from django.conf.urls import include, url
from . import views
urlpatterns = [
url(r'^$', views.IndexView.as_view(), name='index'),
url(r'^success/(?P<next>[\s\S]*)/$', views.SuccessView.as_view(), name='success'),
url(r'^error/(?P<next>[\s\S]*)/(?P<msg>[\s\S\\u4e00-\\u9fa5]*)/$', views.ErrorView.as_view()... |
from abc import ABC, abstractmethod
class ClientDAO(ABC):
"""
Abstract class for Data Access Objects for Client with four methods.
get_clients
add_client
update_client
delete_client
"""
@abstractmethod
def get_clients(self):
pass
@abstractmethod
... |
# Generated by Django 2.0.3 on 2018-05-04 12:43
from django.conf import settings
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('web', '0042_takencourse_taken_course_title'),
]
operations = [
migrations.... |
from flask import Flask, render_template, request, redirect
app = Flask(__name__)
@app.route('/users/<username>/<id>')
def show_user_profile(username, id):
# print username
print id
# return username
return render_template('users.html', username=username)
@app.route('/route/with/<vararg>')
def ha... |
# import the libraries
# --------------------
import pandas as pd
# import numpy as np
import math
from sklearn.ensemble import RandomForestClassifier
from sklearn.cross_validation import train_test_split
# from sklearn import preprocessing as pp
from sklearn.metrics import accuracy_score
from sklearn.metrics import co... |
from django.db.models.signals import post_save, pre_delete
from django.dispatch import receiver
from django.contrib.auth import get_user_model
from ghostwriter.home.models import UserProfile
User = get_user_model()
@receiver(post_save, sender=User)
def create_user_profile(sender, instance, created, **kwargs):
... |
# AUTO GENERATED FILE - DO NOT EDIT
from dash.development.base_component import Component, _explicitize_args
class Input(Component):
"""A Input component.
Keyword arguments:
- id (string; optional): The ID of this component, used to identify dash components
in callbacks. The ID needs to be unique across all of... |
from __future__ import print_function
import argparse
try:
from orlo import __version__
except ImportError:
# _version.py doesn't exist
__version__ = "TEST_BUILD"
__author__ = 'alforbes'
"""
Command line interface
Generally setup/initialisation functions and the like, called by /usr/bin/orlo
"""
def ... |
import smtplib
SERVERS = ["156.17.40.148", "156.17.40.162", "156.17.40.46", "156.17.40.85"]
for SERVER in SERVERS:
FROM = "test@pwr.wroc.pl"
TO = ["xx@plonk.ict.pwr.wroc.pl", "zxcvbnm@heaven.org"]
message = """\
From: %s
To: %s
Subject: %s
%s
""" % (FROM, ", ".join(TO), "test", "test... |
import json
def lambda_handler(event, context):
jsonRequestInput = json.loads(event['body'])
userid = jsonRequestInput['userid']
stock = jsonRequestInput['stock']
db_stocks = getDynamoData(userid)
if(db_stocks == ""):
putDynamoData(userid, stock)
else:
d... |
#YOU ARE CURRENTLY VIEWING THE GENIUS CODING BEHIND PYTHON CALCULATOR 1.0
#BRACE YOURSELVES....SWAG INCOMING!
print " +---+---+---+---+---+---+"
print " |~~~~~~~ THIS IS ~~~~~~~|"
print " +---+---+---+---+---+---+"
print " ... |
# Simulation Logic
from utils import v_sub, v_add, v_mul, v_div, v_array_sum, agent_degree_rotation, convert_to_unit_vector, limit
from Agent import DEFAULT_SPEED, Agent
from Obstacle import Obstacle
import shared
from random import randrange
# Blue Agent:0
# Red Agent:1
ALIGNMENT_WEIGHT = [10,4]
COHESION_WEIGHT = [5... |
#!/usr/bin/python3
import sys
import subprocess
#exchanges = ["bittrex", "binance_us", "kucoin", "ftx_us", "kraken", "gemini"
exchanges = ["ftx_us", "kucoin"]
import util
import json
from collections import defaultdict
markets = defaultdict(list)
def getdata():
try:
for exchange in exchanges:
... |
print("Hammie was here!")
sum = 0
empty = []
for i in range(1, 1000):
if i%3 == 0 or i%5 == 0:
empty.append(i)
sum += i
print(empty)
print(sum)
print("hello")
print("test") |
from setuptools import setup
import pylint_report
setup(
name=pylint_report.__name__,
version=pylint_report.__version__,
description='Generates an html report summarizing the results of pylint.',
url='https://github.com/drdv/pylint-report',
author='Dimitar Dimitrov',
author_email='mail.mitko@gm... |
from time import sleep
from json import dumps
from numpy.random import choice, randint
from kafka import KafkaProducer
def get_random_value():
"""
Generate dummy data
:return: dict
"""
cities_list = ['Lviv', 'Kyiv', 'Odessa', 'Donetsk']
currency_list = ['HRN', 'USD', 'EUR', 'GBP']
return ... |
#!/usr/bin/python3 # This is python_server1.py file
import socket
import threading
import pickle
from time import sleep
from collections import OrderedDict
from section import generate_rooms
import sql
def main():
print('start server')
# create a socket object
server_socket = socket.socket(soc... |
# -*- coding: utf-8 -*-
import logging
import datetime
import uuid
from model.assistance.justifications.justifications import Justification, RangedJustification, RangedTimeJustification
from model.assistance.justifications.status import Status
from model.assistance.justifications.status import StatusDAO
from model.a... |
from django.shortcuts import render
'''
# Create your sql here.
from django.shortcuts import render, HttpResponse, render_to_response
from django.views.decorators.csrf import csrf_exempt
from django.http import JsonResponse
from django.views.generic import View
from django.utils.decorators import method_decorator
impor... |
import uuid
import django.utils.timezone as timezone
from django.db import models
class Test(models.Model):
id=models.UUIDField(primary_key=True, auto_created=True, default=uuid.uuid4, editable=False)
name=models.CharField(max_length=20)
code=models.IntegerField(default=0)
grade=models.Char... |
# スクレイピング
# !pip install lxml
import requests
import re
import uuid
from bs4 import BeautifulSoup
import os
word = "カメラ"
images_dir = 'image_data/camera/'
if not os.path.exists(images_dir):
os.makedirs(images_dir)
url = "https://search.nifty.com/imagesearch/search?select=1&chartype=&q=%s&xargs=2&im... |
class Solution:
def findJudge(self, N: int, trust: List[List[int]]) -> int:
i = 1
x = []
for j in range(len(trust)):
if trust[j][0] not in x:
x.append(trust[j][0])
m = 0
for i in range(1,N+1):
if i not in x:
m = i
... |
#############################################################################################
##################### Simple Linear Regression - Python ####################################
#############################################################################################
#-----------------------------------... |
from abc import ABC, abstractmethod
class Department:
def __init__(self, name, code):
self.name = name
self.code = code
class Employee(ABC, Department):
def __init__(self, code, name, salary):
self.code = code
self.name = name
self.salary = salary
@abstractmethod... |
#首字母大写 使用[map] (返回列表)
#用法：name = ['jArrY','tOM']
# normalize(name)
def normalize(name):
def fn(a):
return a[:1].upper() + a[1:].lower()
return list(map(fn,name))
#list求积 使用[reduce] (返回值)
from functools import reduce
def prod(L):
def fn(x,y):
return x * y
return reduce(fn,L)
#字符串转浮点... |
# -*- coding: utf-8 -*-
"""
Created on Tue May 17 14:38:53 2016
@author: a_danda
"""
import json
import re
import operator
import sys
from pprint import pprint
data = []
with open(sys.argv[2]) as f:
for line in f:
data.append(json.loads(line))
#pprint(data)
afinnfile = open(sys.argv[1])
scores = {... |
# -*- coding: utf-8 -*-
"""
Autor:
Jorge Casillas y Miguel Morales Castillo
Fecha:
Noviembre/2018
Contenido:
Uso simple de XGB y LightGBM para competir en DrivenData:
https://www.drivendata.org/competitions/7/pump-it-up-data-mining-the-water-table/
Inteligencia de Negocio
Grado en I... |
from json import loads
from redis import Redis
from datetime import datetime
import ed25519
import hashlib
class Transaction(object):
"""This class is used for getting easy-to-use txn class
from the bytes, received from the Tendermint core"""
def __init__(self, tx):
self.raw_tx = tx
self... |
# Copyright 2015 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
import unittest.mock
import pytest
from packaging.version import Version
from pants.base.deprecated import (
BadDecoratorNestingError,
BadSemanticVersionError,
CodeRemovedErr... |
import time
import hashlib
import argparse
import multiprocessing
from joblib import Parallel, delayed
__author__ = 'David Flury'
__email__ = "david@flury.email"
def calculate_hash():
input = 'unmix.io is great!'
hash_object = hashlib.sha1(input.encode())
return hash_object
if __name__ == '__main__':
parser... |
# Copyright 2023 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from pants.backend.cue.subsystem import Cue
from pants.core.util_rules.external_tool import DownloadedExternalTool, ExternalToolRequest
from pants.engine... |
#!/usr/bin/env python
import rospy
from std_msgs.msg import Int32
from geometry_msgs.msg import PoseStamped, Pose
from styx_msgs.msg import TrafficLightArray, TrafficLight
from styx_msgs.msg import Lane
from sensor_msgs.msg import Image
from cv_bridge import CvBridge
from light_classification.tl_classifier import TLCla... |
import os
import random
import numpy as np
import pygame
from pygame.locals import *
from constants import *
from Oracle import Oracle, State
class Block(pygame.sprite.Sprite):
def __init__(self, color_index, grid_center, block_size=50):
super(Block, self).__init__()
self.block_size = block_size... |
import torch
from torch.utils.data import Dataset
from torch.utils.data import DataLoader
import numpy as np
from pathlib import Path
from functools import lru_cache
def pad_collate(batch):
# find longest sequence
max_input_length = max([len(x[0]) for x in batch])
max_output_length = max([len(x[1]) for x... |
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