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# -*- coding: utf-8 -*-
# Author: Mateo Inchaurrandieta <mateo.inchaurrandieta@gmail.com>
'''EIS spectral cube definitions'''
from __future__ import absolute_import
import numpy as np
from astropy.io import fits
from astropy.nddata import StdDevUncertainty as sdu
from sunpycube.cube.datacube import Cube
from sunpyc... |
#!/usr/bin/python3
#!-*-encoding:utf-8-*-
import tkinter as tk
from functools import partial
def call_result(label_result, n1, n2):
num1 = float((n1.get()))
num2 = float((n2.get()))
result = (num1)/(num2*num2)
if result<=18.5:
label_result.config(text="Vous êtes en souspoids.\n"
... |
from itertools import cycle
from collections import deque
import json
import urllib2
from pprint import pprint
import time
import csv
from pprint import pprint
from random import randint
from instagram.client import InstagramAPI
import sys
class TokenGenerator:
tokens = []
token_index = 0
def getToken(se... |
#! /usr/bin/python3
def unswap():
Cliques = [[0, 1, 2, 3, 4, 5, 6, 7, 8], \
[9, 10, 11, 12, 13, 14, 15, 16, 17], \
[18, 19, 20, 21, 22, 23, 24, 25, 26], \
[27, 28, 29, 30, 31, 32, 33, 34, 35],
[36, 37, 38, 39, 40, 41, 42, 43, 44],
[45, 46, ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
from alipay.aop.api.constant.ParamConstants import *
class AlipayOpenServicemarketOrderSyncModel(object):
def __init__(self):
self._actual_amount = None
self._consumer_uid = None
self._coupon_amount = None
self._discount_a... |
# Definition for singly-linked list.
class ListNode:
def __init__(self, x):
self.val = x
self.next = None
class Solution:
def swapPairs(self, head):
"""
:type head: ListNode
:rtype: ListNode
"""
cur = ListNode(0)
cur.next = head
cur_ahead... |
species(
label = '[CH]=CO[CH2](574)',
structure = SMILES('[CH]=CO[CH2]'),
E0 = (291.144,'kJ/mol'),
modes = [
HarmonicOscillator(frequencies=([3120,650,792.5,1650,3010,987.5,1337.5,450,1655,3000,3100,440,815,1455,1000,231.391],'cm^-1')),
HinderedRotor(inertia=(0.578158,'amu*angstrom^2'), ... |
# Datetime related imports
from datetime import datetime
from datetime import date
from datetime import time
from datetime import tzinfo
# Django imports
from django.contrib.auth.models import User
from django.core.exceptions import ObjectDoesNotExist
from django.core.cache import cache
from django.db.models.signals ... |
import numpy as np
import pandas as pd
import sys
import os
import pickle
import spacy
import time
def get_embedding(dataset, type_dataset, print_comment=False):
"""
Parameters :
dataset : DataFrame
type : String
Returns
embedding : List
"""
nlp=sp... |
from eth.constants import ZERO_HASH32
from eth_typing import BLSPubkey
import pytest
from ssz.hashable_list import HashableList
from ssz.sedes import List, uint64
from eth2.beacon.constants import (
DEPOSIT_CONTRACT_TREE_DEPTH,
FAR_FUTURE_EPOCH,
GENESIS_SLOT,
GWEI_PER_ETH,
JUSTIFICATION_BITS_LENGTH... |
# coding: utf-8
"""
dbt Cloud API v2
No description provided (generated by Swagger Codegen https://github.com/swagger-api/swagger-codegen) # noqa: E501
OpenAPI spec version: 2.0.0a1
Contact: support@getdbt.com
Generated by: https://github.com/swagger-api/swagger-codegen.git
"""
import pprint
im... |
class Solution:
def maxProfit(self, prices: List[int], fee: int) -> int:
keep, sell = -prices[0], 0
for i in range(1, len(prices)):
p = prices[i]
keep, sell = max(keep, sell - p), max(keep + p - fee, sell)
return max(keep, sell)
|
import pprint
import json
from jdcal import gcal2jd, jd2gcal
from googleapiclient.discovery import build
import datetime
def get_news(actor, start_date, end_date):
service = build("customsearch", "v1",
developerKey="AIzaSyBdV1Emfi7Zd-T8_PQ1tr_Av7G4WuGpHOo")
start_date_j = int(sum(gcal2jd(s... |
#!/usr/bin/env python
# -*- coding:utf-8 -*-
# Author: linghanchujian
import os,sys
from scrapy.cmdline import execute
def main():
sys.path.append(os.path.dirname(os.path.abspath(__file__)))
execute(["scrapy","crawl","amazon_scrapy"])
pass
if __name__ == '__main__':
main() |
import nltk
from nltk.corpus import state_union
from nltk.tokenize import PunktSentenceTokenizer
train_text = state_union.raw("2005-GWBush.txt")
sample_text = state_union.raw("2006-GWBush.txt")
custom_sent_tokenizer = PunktSentenceTokenizer(train_text)
tokenized = custom_sent_tokenizer.tokenize(sample_text)
def pro... |
import cv2
import numpy as np
from math import sqrt
from math import pow
from copy import copy
import os
import colorsys
img=cv2.imread("3.jpg",cv2.IMREAD_COLOR)
Yellow={'min':(20,100,100),'max':(30, 255, 255)}
Blue={'min':(50,100,100),'max':(100,255,255)}
Brown={'min':(0,100,0),'max':(20,255,255)}
'''
Yellow={'min':... |
#!/usr/bin/python3
"""This module contains the Base class"""
import json
import os
class Base:
"""This class is the base of all other classes in this project"""
__nb_objects = 0
def __init__(self, id=None):
"""This is the base level constructor"""
if id is not None:
self.id ... |
def max_of_three(a,b,c):
if a>b and a>c:
return a
elif b>c:
return b
else:
return c
print"Enter the numbers"
first=int(raw_input())
second=int(raw_input())
third=int(raw_input())
ans=max_of_three(first,second,third)
print "greatest number is :%d"%ans
|
import random
import pickle
import gzip
import numpy as np
import matplotlib.pyplot as plt
def plot_image(image,a,h,j):
plt.imshow(image.reshape(a,a),cmap='binary')
plt.xticks([])
plt.yticks([])
plt.savefig('image/layer{}_{}.png'.format(h, j))
# plt.show()
def normlize_image(image):
min_value ... |
from world.kumarpg.dicts.types_defs import types
stats = {
"earth": types["stat_dict"],
"fire": types["stat_dict"],
"air": types["stat_dict"],
"water": types["stat_dict"],
"void": types["stat_dict"]
}
earth_techniques = {
"bulletproof": types["tech_dict"]
}
void_techniques = {
"mana rush"... |
from tkinter import *
import pyttsx3
# import Jarvis
import consolelog
from PIL import ImageTk,Image
root = Tk()
def speak():
engine = pyttsx3.init()
voices = engine.getProperty('voices')
engine.setProperty('voice', voices[1].id)
engine.say("Hello World ")
engine.runAndWait()
... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from io import StringIO
import re
import inspect
from collections import namedtuple
from format_strings import FormatStrings
from evision_structures import evision_structrised_classes
from typing import Optional
ArgTypeInfo = namedtuple('ArgTypeInfo',
... |
#!/usr/bin/env python3
""" This module contains the function dropout_create_layer. """
import tensorflow as tf
def dropout_create_layer(prev, n, activation, keep_prob):
"""
Creates a layer of a neural network using dropout.
prev is a tensor containing the output of the previous layer.
n is the number ... |
from django.contrib import admin
from .models import Post
# admin.site.register(Post)
class PostyAdmina(admin.ModelAdmin):
list_display = ('tytul', 'kategoria', 'data_utworzenia', 'data_publikacji', 'data_aktualizacji')
prepopulated_fields = {'slug': ('tytul',)}
list_filter = ('data_utworzenia', 'kategori... |
"""SCons.Tool.ise
Tool-specific initialization for Xilinx ISE
"""
import sys
import platform
import xilinx
import xparseprops
import scan_ise
import SCons.Util
import pprint
from SCons.Script import *
def chain_emitters(emitter_list):
""" Returns an emitter function (closure) which applies every emitter in emi... |
# *-* coding: utf-8 *-*
import csv
import collections
import tempfile
import traceback
from django.http import HttpResponse
def import_csv_data_to_model(file_obj, model, field_header_list):
"""
导入csv数据到模型
:param file_obj: 文件对象
:param model: 模型
:param field_header_list: 字段表头部列表
:return:
""... |
# Work space directory
HOME_DIR = './'
# Path to SALICON raw data
pathToImages = '/home/users/jpang/salicon_data/images'
pathToMaps = '/home/users/jpang/salicon_data/saliency'
pathToFixationMaps = '/home/users/jpang/salicon_data/fixation'
# Path to processed data
pathOutputImages = '/home/users/jpang/lsun2016/data/sa... |
from cloudant.client import CouchDB
from datetime import datetime
from random import random
from injector import inject
class CouchDBProvider(object):
@inject
def __init__(self, db_client: CouchDB, db_name):
self.db_client = db_client
self.db = self.db_client[db_name]
self.db_name = d... |
import unittest;
from leetcode.Util.ArrayUtil import ArrayUtil
from leetcode.QuickSort.QuickSort import QuickSort
# https://leetcode-cn.com/problems/zigzag-conversion/description/
class QuickSortTest(unittest.TestCase):
def test(self):
testInput = ArrayUtil.getRandomArray(100, 100)
print(testInpu... |
import numpy as np
import pandas as pd
import cv2
from sklearn.svm import SVC
face1=np.load('gop.npy').reshape(100,50*50*3)
face2=np.load('shankar.npy').reshape(100,50*50*3)
data=np.concatenate([face1,face2])
dataset=cv2.CascadeClassifier('hr.xml')
labels=np.zeros((200,1))
labels[:100,:]=0.0
... |
from quantum_espresso_tools.symmetry import get_kpoint_grid
from quantum_espresso_tools.parser import parse_vc_relax
import numpy as np
import numpy.linalg as la
import os
import subprocess
# Conversion factors
ANGSTROM_TO_BOHR = 1.88973
BOHR_TO_ANGSTROM = 0.529177
def default_parameters():
# Default pseudopot... |
import random
import string
class CommonUtilities:
@staticmethod
def get_random_string(str_length: int = 10, str_type: string = string.ascii_lowercase,
prefix: str = '') -> str:
letters = str_type
return prefix + ''.join(random.choice(letters) for i in range(str_leng... |
class Cadena():
def __init__(self,cadena):
self.cadena=cadena
#___________________________________________________________________________________________________________
def recorrerCadena(self):
print(':::::::::::::::::::::::::::::::::::::::::::::')
print("Recorrer y presentar los ... |
import os
from ament_index_python.packages import get_package_share_directory
from launch import LaunchDescription
from launch_ros.actions import Node
import launch_ros
def generate_launch_description():
ld = LaunchDescription()
duckiebot_urdf = os.path.join(get_package_share_directory('duckiebot_interfa... |
from flask import Flask
from views import api
from models import db
app = Flask(__name__)
app.config['SQLALCHEMY_DATABASE_URI'] = 'sqlite:///C:/jprojects/web_projects/flask_api/app/api.db'
app.config['DEBUG'] = True
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = False
if __name__ == '__main__':
db.init_app(app... |
import tensorflow as tf
print("tf version=",tf.__version__)
import sklearn
assert sklearn.__version__ >= "0.20"
import numpy as np
from tensorflow import keras
print("Keras version=",keras.__version__)
import matplotlib as mpl
import matplotlib.pyplot as plt
import os
from sklearn.datasets import fetch_californi... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import redirect
from django.urls import reverse
from django.shortcuts import render, HttpResponseRedirect
from django.contrib.auth import (
authenticate,
get_user_model,
login,
logout
)
from .forms import UserLog... |
from django.contrib import admin
from app_calendar.models import Event, User, Country, Holiday
admin.site.register(User)
admin.site.register(Event)
admin.site.register(Country)
admin.site.register(Holiday)
# Register your models here.
|
"""
Задание 3:
Определить, какое число в массиве встречается чаще всего.
План такой. Сворачиваем до уникальных значенй в массиве. В этом нам поможет множество set(a)
Пробегаемся по множеству и считаем сколько раз цифра встречается в исходном массиве a.count(n)
"""
a = [1, 2, 1, 3, 34, 1, 5, 2, 1, 2, 6, 2, 2, 2, 2, 3]... |
# -*- coding: utf-8 -*-
import pymysql
import configparser
import os
class MysqlClient(object):
def __init__(self, host, user, password, database):
self.conn = pymysql.connect(host=host, user=user, password=password, database=database)
@classmethod
def from_settings(cls, conf_dir):
conf_... |
'''
Created on 2013-04-17
@author: jyeung, apfejes
'''
import os
import sys
import time
import rpy2.robjects as robjects
from rpy2.robjects.packages import importr
import argparse
_cur_dir = os.path.dirname(os.path.realpath(__file__)) # where the current file is
_root_dir = os.path.dirname(_cur_dir)
sys.path.inse... |
# -*- coding: utf-8 -*-
import array
import sys
if sys.version_info[0] <= 2:
range = xrange
ARRAY_DATATYPE = b'l'
else:
ARRAY_DATATYPE = 'l'
def sample(pixels):
top_two_bits = 0b11000000
sides = 1 << 2 # Left by the number of bits used.
cubes = sides ** 7
samples = array.array(ARRAY_D... |
"""This is basic perceptron program which is used for binary classification"""
import random
class perceptron(object):
"""This perceptron class which is very basic neural network"""
def __init__(self):
"""This is initialization of variables"""
self.inputs = []
self.TrainigInpu... |
from collections import Counter
from dataclasses import field, dataclass
from datetime import datetime
from typing import Optional
from guniparse.log_entry import LogEntry
from guniparse.utils import size_fmt
@dataclass
class Stats:
requests: int = 0 # total number of requests
reqs_per_sec: float = 0
st... |
# Generated by Django 2.1 on 2018-10-20 15:30
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('app_noticias', '0005_auto_20181020_1228'),
]
operations = [
migrations.AlterField(
model_name='noticia',
name='destaqu... |
class IP4:
def validIPAddress(self, IP):
ip4 = IP.split(".")
if len(ip4) == 4:
for num in ip4:
try:
# if not (num[0].isdigit() and int(num) < 256 and (num[0] != "0" or num == "0") and num[-1].isdigit()):
if not (str(num).isdigit() ... |
import os
from app.utilities.data import Prefab
from app.resources.base_catalog import ManifestCatalog
from app.constants import COLORKEY
class Palette(Prefab):
def __init__(self, nid):
self.nid = nid
# Mapping of color indices to true colors
# Color indices are generally (0, 1) -> (240, 1... |
"""
The BinaryTree class for Lab 7.
"""
from typing import Any
class BinaryTree:
"""
A class representing a BinaryTree.
value - The value of the BinaryTree's root
left - The root node of this BinaryTree's left subtree.
right - The root node of this BinaryTree's right subtree.
"""
value: A... |
from .models import Setting
def savva():
result = Setting.objects.all()
settings={}
for item in result:
settings[item.key]=item.value
return settings
sttngs=savva()
|
def bisection_iter(n, arr):
start = 0
stop = len(arr)-1
while start <= stop:
mid = (start + stop)//2
if n == arr[mid]:
return f"{n} found at index: {mid}"
elif n > arr[mid]:
start = mid + 1
else:
stop = mid - 1
return f"{n} not found in... |
from flask import Blueprint, request, jsonify
from DatabaseAccess import DataAccess
from werkzeug.security import check_password_hash, generate_password_hash
bp = Blueprint('users', __name__, url_prefix='/users')
@bp.route('/create', methods=['POST'])
def create():
email = request.form.get('email')
name = req... |
def binary(num):
if num>1:
binary(num//2)
print(num%2,end="")
if __name__=="__main__":
print()
binary(11) |
# -*- coding: utf-8 -*-
import binascii
import nfc
import time
from threading import Thread, Timer
import pprint
import json
import requests
import datetime
import sys
from pyfiglet import Figlet
# タッチされたあとの次の待受時間
TIME_WAIT = 5
SLACK_API_URL = 'https://ancient-woodland-85036.herokuapp.com/raspi'
FLASK_API_URL = 'sum... |
# 给程序传递参数
import sys
def a(num):
print(num)
def b(num):
print(num)
a(100)
print(sys.argv) # 值为["xxx.py"]
if sys.argv[1] == a: # 这里的a就是外部给程序传递的参数
b(12)
# 交互模式下用python3 xxx.py 参数（多个参数空格隔开）
# 所传递的参数会保存在sys.argv这个列表中
|
from tkinter import *
def on_move(event):
component=event.widget
locx, locy = component.winfo_x(), component.winfo_y()
w , h =master.winfo_width(),master.winfo_height()
xpos=(locx+event.x)
ypos=(locy+event.y)
if xpos>=0 and ypos>=0 and w-abs(xpos)>=0 and h-abs(ypos)>=0 and xpos<=w-125 and ypos<... |
from flask import Flask
# from .settings import config
# from .extensions import extension_init
from .views import blueprint_register
def create_app():
app = Flask(__name__)
# 加载配置
# app.config.from_object(config["default"])
# 初始化app函数
# extension_init(app)
# 蓝本注册函数
blueprint_register(a... |
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
from __future__ import print_function
import os
import sys
import subprocess
import platform
def build(binfolder, options=''):
cwd = os.getcwd()
# create build dir
if not os.path.isdir(binfolder):
os.mkdir(binfolder)
os.chdir(binfolder)
# cma... |
import math
from collections import deque
import numpy as np
import heapq as heap
from slapstack.core_state import State
from slapstack.core_state_agv_manager import AGV
from slapstack.core_state_location_manager import LocationManager
from slapstack.helpers import faster_deepcopy, StorageKeys, VehicleKeys, \
Batc... |
#a. Create 3 list wiht numbers and maxlist by taking max elem from each list
def list_manip():
l1 = [1,2,3,4,5]
l2 = [12,23,34,45,56]
l3 = [67,78,89,90,98]
lmax = []
l1.sort()
l2.sort()
l3.sort()
print("list are: ", l1,l2,l3)
lmax.append(max(l1))
lmax.append(max(l2))
lmax.append(max(l3))
lma... |
#!/usr/bin/python
#coding=utf-8
import sys
from waveLength import *
nFiles = len(sys.argv)
print waveLength.__doc__
for i in range(1, nFiles):
wl = waveLength( sys.argv[i] )
wl.fitGraph()
wl.getWaveLen()
# wl.saveToEps()
# wl.showGraph()
|
from django.shortcuts import render
from .models import student_info
# Create your views here.
def display(request):
stud_list=student_info.objects.all()
my_dict={'student':stud_list}
return render(request,'studentinfoapp/studentinfo.html',{'student':stud_list})
|
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-03-11 09:59
from __future__ import unicode_literals
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('my_app', '0002_author_user_link'),
]
operations = [
migrations.RemoveField(
... |
import matplotlib
matplotlib.use("TkAgg") # set the backend
import matplotlib.pyplot as plt
plt.figure()
plt.plot([0,1,2,0,1,2]) # draw something
plt.show(block=False)
plt.get_current_fig_manager().window.wm_geometry("+600+800") # move the window
|
from mlab import mlab_connect
from models.information import Service, Game
from faker import Faker
from random import choice, randint
mlab_connect()
service = Service(
name=Faker().name(),
occupied=choice([True,False]),
fav_lane=choice(['top','mid','bot','jung']),
credit=randint(1,5)
)
service.save()... |
import os
import pandas as pd
import sys
import json
import chardet
from constants import COUNTRY_DICT
import numpy as np
import copy
from collections import defaultdict
file_prefix = "installs_com.cuelearn.cuemathapp_"
class DailyGoogleUpdates:
def __init__(self,dt):
self.dt = dt
self.get_data(dt)
self.df_ove... |
#!/usr/bin/env python3
# https://gist.github.com/lilydjwg/69111965e237fdb67d1378703173709f
import sys
import re
import pyalpm
def name_part(x):
return re.match('^[\w.-]+', x).group()
def main(names):
h = pyalpm.Handle('/', '/var/lib/pacman')
ldb = h.get_localdb()
pkgs = ldb.pkgcache
needs_explicit = set(... |
# Copyright (c) 2012-2021, Mark Peek <mark@peek.org>
# All rights reserved.
#
# See LICENSE file for full license.
from typing import Optional
from .aws import Action as BaseAction
from .aws import BaseARN
service_name = "Amazon Lightsail"
prefix = "lightsail"
class Action(BaseAction):
def __init__(self, actio... |
import os, cv2
import numpy as np
from sklearn.utils import shuffle
from sklearn.preprocessing import LabelBinarizer
from keras.models import Sequential
from keras.layers.core import Dense, Activation, Flatten, Dropout
from keras.layers import Conv2D, MaxPooling2D
from keras.regularizers import l2
# scale images d... |
#lambda를 활용하는 경우 (2)
#g(x,y)함수를 define 하지 않고 사용하는 경우
def f(g, a, b):
return g(a,b)
print(f(lambda x,y: x*y, 20,10))
|
people = int(input("enter the number of people"))
cats = int(input("enter the number of cats"))
dogs = int(input("enter the number of dogs"))
if people<cats:
print("Too many cats! The world is doomed")
elif people>cats:
print("Not many cats! The world is saved")
elif people>dogs:
print("The world is Dry")
elif peopl... |
# coding:utf-8
import datetime as dt
"""
日付関連の共通処理を定義する
"""
class DateHelper:
# 日付フォーマット:ymd
format_ymd = '%Y%m%d'
# 日付フォーマット:hm
format_hm = '%H%M'
# 日付フォーマット:ymd_hm
format_ymd_hm = '%Y%m%d%H%M'
# 日付フォーマット:ymd_hms
format_ymd_hms = '%Y%m%d%H%M%S'
@staticmethod
def get_date_list(... |
from django.shortcuts import render
from rest_framework import viewsets
from .models import User
from .serializers import UserSerializer
from rest_framework .decorators import api_view
from rest_framework.response import Response
from django.contrib.auth import authenticate
from rest_framework import status
from django... |
from django import forms
from .models import *
from django.contrib.auth.forms import AuthenticationForm
from django.db import models
from django.forms.widgets import PasswordInput, TextInput
import collections
from django.forms import *
allWidget = {
'name': TextInput(attrs={'class': 'mdl-textfield__input', 'place... |
from binascii import hexlify as hx, unhexlify as uhx
from nsz.Fs.File import File
from nsz.Fs.File import BaseFile
from nsz.Fs.Hfs0 import Hfs0
from nsz.Fs.Hfs0 import Hfs0Stream
import os
import re
from nsz.nut import Print
MEDIA_SIZE = 0x200
class XciStream(BaseFile):
def __init__(self, path = None, mode = 'wb', ... |
import os
import sys
import traceback
import shutil
from praatio import tgio
from montreal_forced_aligner.multiprocessing.corpus import parse_transcription
from montreal_forced_aligner.corpus.align_corpus import AlignableCorpus
from montreal_forced_aligner.helper import load_text
from montreal_forced_aligner.config.g... |
# Classes Documentation : https://docs.python.org/3/tutorial/classes.html
import sys
import io
# 클래스 변수, 인스턴스 변수
class NameTest:
total = 0
print(dir())
print('before : ', NameTest.__dict__)
NameTest.total = 1
print('after : ', NameTest.__dict__)
n1 = NameTest()
n2 = NameTest()
print(id(n1), ' vs ', id(n2))
pri... |
from PyQt5 import QtCore, QtGui, QtWidgets
from PyQt5.QtWidgets import QMessageBox, QTableWidgetItem, QPushButton, QHBoxLayout, QWidget
import main_menu, app, add_member_page, Table_widget
from pymongo import MongoClient
import socket, csv, os
def check_connection():
try:
socket.create_connection(('Google... |
#https://adventofcode.com/2019/day/14
import math
import re
def clean_input(path = "./input.txt"):
input_f = open(path).readlines()
arr = [re.split(" => |, ",line.strip()) for line in input_f]
production = dict()
for formula in arr:
requirements_dict = dict()
for item in formula[:-1]:
... |
# The script MUST contain a function named azureml_main
# which is the entry point for this module.
# imports up here can be used to
import requests
import json
import re
import pandas as pd
API_ENDPOINT = '<YOUR API ENDPOINT>'
headers = {'content-type': 'application/json'}
# The entry point function MUST have two ... |
def partitionDisjoint1(A): # 一个一个比 太慢
"""
:type A: List[int]
:rtype: int
"""
for i in range(A.__len__()):
black_flag = 0
left = A[: i + 1]
right = A[i + 1:]
for rnum in right:
for lnum in left:
if lnum > rnum:
b... |
# -*- coding: utf-8 -*-
#/usr/bin/python3
from __future__ import print_function
from utils import load_spectrograms,wav2world,world_features_to_one_tensor
import os
import numpy as np
from hyperparams import Hyperparams as hp
import tqdm
if not os.path.exists("mels"): os.mkdir("mels")
if not os.path.exists("worlds")... |
"""
Licensed to the Apache Software Foundation (ASF) under one
or more contributor license agreements. See the NOTICE file
distributed with this work for additional information
regarding copyright ownership. The ASF licenses this file
to you under the Apache License, Version 2.0 (the
"License"); you may not use this ... |
varOne=int(input())
varTwo=int(input())
varThree=int(input())
if varOne > varTwo and varOne > varThree:
print("I am varone")
elif varTwo > varThree:
print("i am vartwo")
else:
print("i am varthree")
|
from pgtemplate import *
import pygame
import random
import time
LINECOLOR = (20, 20, 20)
ALIVECOLOR = (0, 255, 0)
ROWS = 10
COLS = 10
UPDATEAFTER = 1
class Cell(object):
def __init__(self, row, col):
self.row = row
self.col = col
self.alive = False
self.future = None
class GO... |
import os
TG_API_TOKEN = os.getenv('TG_API_TOKEN')
DEBUG = True
HOST = '0.0.0.0'
PORT = '5000'
MAIN_CONTAINER_URL = 'https://4e45df91cfc1.ngrok.io/api'
|
# -*- coding: utf-8 -*-
# Copyright © 2012-2014 by its contributors. See AUTHORS for details.
# Distributed under the MIT/X11 software license, see the accompanying
# file LICENSE or http://www.opensource.org/licenses/mit-license.php.
# Python standard library, unit-testing
import unittest
# Scenario unit-testing
fro... |
# -*- coding: utf-8 -*-
import urllib.request
def clear():
time.sleep(3)
OS=platform.system()
if (OS==u"Windows"):
os.system("cls")
else:
os.system("clear")
def link():
url="http://www.baidu.com"
try:
res=urllib.request.urlopen(url)
except Exception:
print(... |
# -*- coding: utf-8 -*-
#
# This file is part of the RoseNMS
#
# Copyright (C) 2013-2016 Craig Small <csmall@enc.com.au>
#
# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2 of the... |
from .setting import *
from .menu import *
from .page import *
from .file_object import *
from .inner_link import *
from .cathedra import *
from .staff import *
from .direction import *
from .schedule import *
from .news import *
from .announcement import *
from .certificate import * |
test_input = '{{4,2,3},{3},{2,3,4,1},{2,3}}'
def solution(s):
input_arr = s.split("},")
tuple_map = []
answer = []
for i in input_arr:
i = i.replace('{','').replace('}','')
temp_arr = i.split(",")
tuple_map.append(temp_arr)
tuple_map.sort(key=len)
for i in tuple_map:
... |
#!/usr/bin/python
import package.pkg1
import package.pkg2
def run():
print __name__+":"+run.__name__
package.pkg1.run()
package.pkg2.run()
print __name__, " imported"#this print when import but only at the first time it imported.
if __name__=="__main__":
print "This print when execute the module but n... |
'''
создать за 1 цикл кв. матрицу (выше гл. диаг = *, ниже #, на диаг. @)
'''
N = 5
a = [0]*N
for i in range(N):
a[i] = ['*']*i + ['@'] + ['#']*(N-i-1)
for row in a:
print(row)
|
class Node:
def __init__(self): # constructor
self.data = None
self.next = None
def set_data(self, data): #method for setting the data field of the Node
self.data = data
def get_data(self,data): #method for getting the data field of the Node
... |
import cv2 as cv
img = cv.imread('../images/u=3126408186,2598873524&fm=15&gp=0.jpg')
# 图像的形状
print(img.shape)
"""
(400, 400, 3)
"""
# 像素总数
print(img.size)
"""
480000
"""
# 图像数据类型
print(img.dtype)
"""
uint8
"""
|
string=input("Enter Whatever You Want")
a={}
countchar=0
def abc(string):
string=string.lower()
x=97
i=0
while i<26:
countchar=string.count(chr(x))
if countchar > 0:
a[chr(x)]=countchar
i=i+1
countchar=0
x=x+1
sortedDict= sorted(a... |
from pathlib import Path
import unittest
import os
from work_muxixyz_app import create_app,db
from flask import current_app,url_for,jsonify
from flask_sqlalchemy import SQLAlchemy
from work_muxixyz_app.models import Team,Group,User,Project,Message,Statu,File,Comment
import random
import json
# db=SQLAlchemy()
class B... |
class Solution(object):
def rob(self, nums):
"""
:type nums: List[int]
:rtype: int
"""
n = len(nums)
if n == 0:
return 0
if n <= 2:
return max(nums)
dp = [[0, 0] for _ in xrange(n)]
dp[0][0] = nums[0]
... |
from entity.object.building.commerce.Bank import Bank
from utils.beauty_print import bcolors
from game.Event import Event
from utils.common import GOVERNMENT, line, log_error, modes, prim_opt
from game.Board import Board
from game.Category import Category
from entity.livingbeing.person.Person import Person
from entit... |
import numpy as np
from image_tools import *
import pylab as pl
from scipy.signal import convolve2d
"""Generates 500 16 x 16 pixel image patches from the image data base,
500 16 x 16 pixel white noise patches, 500 16 x 16 pixel patches of filtered noise
and normalizes each set."""
numberPatches = 500
patchSize = 16
... |
import requests
from bs4 import BeautifulSoup
import nltk
import sqlite3
import time
import traceback
num_of_volumes = 557
base_search_url = 'http://caselaw.findlaw.com/court/us-supreme-court/volume/{0}'
def prep_db():
with sqlite3.connect('scotus.db') as conn:
conn.execute('CREATE TABLE IF NOT EXISTS inf... |
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