text stringlengths 8 6.05M |
|---|
N = int(input())
for i in range(N):
a = input().split()
r, s = int(a[0]), a[1]
ans = ''
for k in s:
ans += k*r
print(ans)
# Done |
# KVM-based Discoverable Cloudlet (KD-Cloudlet)
# Copyright (c) 2015 Carnegie Mellon University.
# All Rights Reserved.
#
# THIS SOFTWARE IS PROVIDED "AS IS," WITH NO WARRANTIES WHATSOEVER. CARNEGIE MELLON UNIVERSITY EXPRESSLY DISCLAIMS TO THE FULLEST EXTENT PERMITTEDBY LAW ALL EXPRESS, IMPLIED, AND STATUTORY WARRANT... |
def tarjan(grafo):
'''Restituisce il vettore delle componenti fortemente connesse del grafo
diretto fornito come parametro, in tempo O(n + m).'''
def dfs(nodo):
nonlocal tempo, componente
tempo += 1
componenti[nodo] = -tempo
stack.append(nodo)
min_nodo = tempo
... |
# import the necessary packages
from optparse import OptionParser
from scipy.spatial import distance as dist
import matplotlib.pyplot as plt
import numpy as np
import argparse
import glob
import cv2
import sys
import pickle
###########################
def image_match_histogram( all_files, options ):
histograms = {... |
import re
#Check if the string starts with "The" and ends with "Spain":
txt = "The rain in Spain"
x = re.search("^The.*Spain$", txt)
if (x):
print("YES! We have a match!")
else:
print("No match")
import re
str = "The rain in Spain"
#Check if the string starts with "The":
x = re.findall("\AThe", str)
print(x)... |
import os
from PIL import Image
from numpy.ma import cos, sin, arccos
from pylab import *
from scipy.constants import pi
def process_image(imagename,resultname,params="--edge-thresh 10 --peak-thresh 5"):
""" Process an image using sift and save the results in a file. """
if imagename[-3:] != 'pgm':
#... |
# ###############################
# Michael Vassernis - 319582888
#
#################################
import nn_model as nn_mdl
from helper_functions import load_mnist, accuracy_on_dataset, load_model, save_model
import numpy as np
import matplotlib.pyplot as plt
import sys
import time
def train_classifier(train_se... |
#!/usr/bin/env python
''' Expermiental Python Server backend test '''
import os
import sys
root_dir = os.path.dirname(os.path.dirname(os.path.abspath(__file__)))
sys.path.append(root_dir)
sys.pycache_prefix = os.path.join(root_dir, 'dist', '__pycache__')
netron = __import__('source')
test_data_dir = os.path.join(ro... |
from panda3d.core import Point3, Vec3, NodePath, LineSegs, Vec4, \
CollisionTraverser, CollisionHandlerQueue, CollisionBox, CollisionNode, \
BitMask32, KeyboardButton
from .BoxTool import BoxAction, ResizeHandle
from .ToolOptions import ToolOptions
from bsp.leveleditor.selection.SelectionType import SelectionM... |
import time
val = [3, 34, 4, 12, 5, 2]
#wt = [10, 20, 30]
summ = 9
n = len(val)
# by Dynamic programing
def knapsack(val,W,n):
array = [[-1 for j in range(W+1)]for i in range(n+1)]
#print("array",array)
if W == 0 or n == 0:
return 0
if array[n][W] != -1:
return array[n][W]
if val[n-1] <= W:
array[... |
"""
# 哈希表
1. 使用链表解决哈希表的冲突
2. 使用哈希表+链表实现LRU cache查询复杂度为O(1)
哈希表（Hash table，也叫散列表），是根据关键码值(Key value)而直接进行访问的数据结构。
也就是说，它通过把关键码值映射到表中一个位置来访问记录，以加快查找的速度。
这个映射函数叫做散列函数，存放记录的数组叫做散列表。
"""
import os
import logging
logger = logging.getLogger(__name__)
class Dict(object):
"""hash table --- 类似位于字典数据结构"""
def ... |
def func():
print("I imported v2 of surf")
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse, JsonResponse
from models import GenericTask
import json
import datetime
|
class Seller:
username: str
password: str
token: str
goodsId: str
orderId:str |
"""
У вас есть 2 компании с людьми. Одна из компаний пусть будет это global_logic была поглощена компанией toshiba.
Отобразите это в коде. Учитывайте что люди с одинаковыми именами могут быть в обеих компаниях
"""
global_logic = ['John Dow', 'John Snow', 'Arya Stark']
toshiba = ['Robin Williams', 'John Snow', 'Taylor ... |
import nltk
from jiwer import wer
import sys
evaluation_data = {'ted': 'data/translated-ted/valid',
'asistent': 'data/asistent-testset/asistent_testset',
'general': 'data/translated-general/valid'}
base_translation_path = "data/translated-"
def evaluate_one(translation_path, valid_path):
hypoth... |
import xml.etree.ElementTree as ET
import os
import math
cwd = '/media/zs/wisin_linkdata/mk/shadowk/Annotations/'
# newcwd = 'newAnnotations/'
newcwd = '/media/zs/wisin_linkdata/mk/shadowk/Annotations/'
for path,d,filelist in os.walk(cwd):
for xmlname in filelist:
if xmlname.endswith('xml'):
... |
"""
当父类方法无法满足子类需要时，就可以重写父类方法
如何重写？
就是在子类中重新定义一个和字类同名的方法并且实现它
"""
class Dog:
def bark(self):
print("汪汪。。。")
class Xiaotianquan(Dog):
def bark(self):
print("叫的和神一样")
def fly(self):
print("i can fly。。。")
xtq = Xiaotianquan()
xtq.bark() |
from fractions import Fraction
from math import factorial
import random
import itertools
def cross(A, B):
"O conjunto de formas de concatenar os itens de A e B (produto cartesiano)"
return {a + b
for a in A for b in B
}
def combos(items, n):
"Todas as combinações de n items; cada co... |
from nastran.analysis import AnalysisModel
class BCType:
def __init__(self, label, ids, desc):
self.label = label
self.ids = ids
self.desc = desc
class PanelBC:
def __init__(self, bcs, label):
self.bcs = bcs
self.label = label
def get_b... |
import numpy as np
import matplotlib.pyplot as plt
import sys, os
import keras
import tensorflow
from keras.models import Sequential, Model, model_from_json
from keras.layers import Input, Dense, Activation
import h5py
import random
import pprint
import pickle
import sklearn
scalerfile = 'transformer_frontend_y_imgs.... |
#encoding=UTF8
'''
典型的工厂模式，通过函数名直接调用实例
使用函数名调用函数实例用getattr()
'''
import global_setting
from conf import shell_get
def get_cpu():
data=shell_get.get_cpu()
print data
return data
def get_load():
data=shell_get.get_load()
print data
return data
|
import pandas as pd
l1 = [{'name': 'John', 'job': "teacher"},
{'name': 'Nate', 'job': "student"},
{'name': 'Fred', 'job': "developer"}]
l2 = [{'name': 'Ed', 'job': "dentist"},
{'name': 'Jack', 'job': "farmer"},
{'name': 'Ted', 'job': "designer"}]
df1 = pd.DataFrame(l1, columns=['nam... |
__author__ = 'apple'
import os
from osgeo import ogr
daShapefile = r"/Users/apple/PycharmProjects/Shapefile/Shapefile/rice_ne-sim.shp" # Path Your Shapefile
driver = ogr.GetDriverByName('ESRI Shapefile')
dataSource = driver.Open(daShapefile, 0) # 0 means read-only. 1 means writeable.
# Check to see if shapefile ... |
from main.activity.activity_login import *
from main.page.people.pe_people import *
from main.page.setting.pe_user import *
from main.page.setting.pe_user_notif import *
from selenium import webdriver
import time
import unittest
class TestEditPeople(unittest.TestCase):
_site = "beta"
# dictionary user
di... |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
from sklearn.metrics import accuracy_score
from sklearn.naive_bayes import MultinomialNB
from sklearn.ensemble import RandomForestClassifier
fro... |
from itertools import permutations
max = 0
trazeni = set('123456789')
for k in xrange(1, 5):
for it in permutations('123456789', k):
s = ''.join(it)
n, i = int(s), 2
while len(s) < 9: s, i = s + str(n * i), i + 1
if len(s) == 9 and set(s) == trazeni and int(s) > max: max = int(s)
... |
# reverse an array
# using the minus index
a = [1,2,3,4,5,6]
b = []
for i in a:
b.append(a[-i])
print b
# string array using the loop
x = ['Ankit','Jasmeet','Sandip','Ganesan','Balaji']
y = []
for i in range(len(x)):
y.append(x[len(x) - 1- i])
print y
# string array using string inbuilt fun... |
from django.shortcuts import render
from django.views.generic import ListView
from .models import SavedBooks
# Create your views here.
class SavedBooksView(ListView):
model = SavedBooks
template_name = 'saves.html'
|
from spack import *
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import write_scram_toolfile
class CfeBindings(Package):
url = 'file://' + os.path.dirname(__file__) + '/../../common/junk.xml'
version('1.0', '68841b7dcbd130afd7d236afe8fd5b949f017615',... |
import pyautogui
import cv2, numpy as np
from PIL import Image
import BoardSolver
topLeftLocation = pyautogui.locateCenterOnScreen("TopLeft.png")
bottomRightLocation = pyautogui.locateCenterOnScreen("BottomRight.png")
sudokuGrid = [[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0],
[0,0,0,0,0,0,0,0,0... |
import pandas as pd
import numpy as np
site_id = 1058
df = pd.read_csv('/Users/coralietouati/PycharmProjects/Project1/' + str(site_id) + '_risk.csv')
df_filtered = df[(df['operating year'] == 1)]
percentile = df_filtered.ess_kW_savings.quantile(0.5)
df_filtered['Delta_percentile'] = df.apply( lambda row: row['ess_kW... |
def get_size(w, h, d):
return [2 * (w * h) + 2 * (w * d) + 2 * (h * d), w * h * d]
|
#!/usr/bin/python
# -*- coding: utf-8 -*-
##################################################
## This script uses vaex and dask for fast subsetting of ranges from QTLtools nominal output files.
##################################################
## Author: Heini M. Natri
## Date: Nov 15 2019
## Email: heini.natri@gmail... |
# Generated by Django 2.2.6 on 2019-12-01 22:18
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('tasks', '0025_auto_20191201_2141'),
]
operations = [
migrations.AlterField(
model_name='routine',
name='day',
... |
# -*- coding: utf-8 -*-
class Solution:
def countPoints(self, rings: str) -> int:
red, green, blue = set(), set(), set()
for i in range(0, len(rings), 2):
color, rod = rings[i], int(rings[i + 1])
if color == "R":
red.add(rod)
elif color == "G":
... |
#Name: Eoin Stankard
#Date: 24/04/2019
#Description: Project on the Iris Data Set
#******************************************************************************
#References:
# https://gist.github.com/curran/a08a1080b88344b0c8a7
# https://pandas.pydata.org/pandas-docs/stable/getting_started/10min.html
# https://s... |
import pylab as pl
import numpy as np
from scipy import ndimage
from scipy.stats import multivariate_normal
import sys
#img2 = pl.imread("converse2.jpg")
#img2 = pl.imread("obraz.png")
img2 = pl.imread(sys.argv[1])
s = img2.shape
print ("Min: {}, max: {}".format(np.min(img2),np.max(img2)))
for i in range(0, s[0]):
... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.db import models
import sys
class UnicodePython2e3(object):
if sys.version_info[0] >= 3: # Python 3
def __str__(self):
return self.__unicode__()
else: # Python 2
def __str__(self):
... |
'''
zhuliwen: liwenzhu@pku.edu.cn
October 24，2019
ref: https://github.com/weiaicunzai/pytorch-cifar100
'''
from AI_homework_1 import *
import torch
def test(pth_file):
net = ResNet(BasicBlock, [2, 2, 2, 2])
net.load_state_dict(torch.load(pth_file))
net.cuda()
print(net)
net.eval()
correct_1 = ... |
#Leap Year
def is_leap_year(year):
if(year % 4 == 0 and (year % 400 == 0 or year % 100 != 0)):
return True
else:
return False
is_leap_year(1996)
is_leap_year(1900)
is_leap_year(2444)
|
import requests
from tqdm import tqdm
# GET /delete {"id":'int', "modifier":'str'}
# GET /update {"note_id":'int', "note":'str', "modifier":'str'}
# GET /insert {"note_id":'int', "note":'str', "modifier":'str'}
# GET /notes {"id":'int'}
# GET /search {"database_search":'str'} [database_search, column_search, ... |
from __future__ import print_function, absolute_import
import logging
import re
import json
import requests
import uuid
import time
import os
import argparse
import uuid
import datetime
import apache_beam as beam
from apache_beam.io import ReadFromText
from apache_beam.io import WriteToText
from apache_beam.io.filesy... |
"""If you run a 10 kilometer race in 43 minutes 30 seconds, what is your average time per mile? What
is your average speed in miles per hour? (Hint: there are 1.61 kilometers in a mile).
"""
km=float(input("Enter the kilometer: "))
time=float(input("enter the time in decimal: "))
op=((km/1.61)/(time/60))
print("t... |
# Copyright (c) 2020. Yul HR Kang. hk2699 at caa dot columbia dot edu.
import numpy as np
from scipy.io import loadmat
import h5py
import os
import pprint
import pandas as pd
#%%
from lib.pylabyk import zipPickle as zpkl
from lib.pylabyk.matlab2py import unpackarray, structlist2df
from lib.pylabyk.np2 import dict_sh... |
# -*- coding: utf-8 -*-
"""
Move data from ingestion to production
"""
#################
# IMPORTS
from b2stage.apis.commons.cluster import ClusterContainerEndpoint
# from b2stage.apis.commons.endpoint import EudatEndpoint
from b2stage.apis.commons.b2handle import B2HandleEndpoint
# from restapi.rest.definition impor... |
#!/usr/bin/env python
from __future__ import print_function
import sys
import argparse
import rospy
import mavros
import time
import math
from tf.transformations import quaternion_from_euler
from tf.transformations import euler_from_quaternion
import tf
from sensor_msgs.msg import Joy
from std_msgs.msg import Header... |
import logging
import time
from time import sleep
from Acspy.Clients.SimpleClient import PySimpleClient
client = PySimpleClient()
supervisor = None
logging.basicConfig()
log = logging.getLogger()
while True:
try:
supervisor = client.getComponent("ArraySupervisor")
except Exception as e:
log.i... |
import unittest
import sys
import os
sys.path.append(os.path.join('..', 'Src'))
from Tagging import PartOfSpeechTagging
from Tokenization import TextTokenization
class TextTaggingTestCase(unittest.TestCase):
def testTagging(self):
sents = "Tom thinks John is terrible. John thinks Tom is great."
speech... |
"""
A dynamic microsimulation framework";
"""
from __future__ import annotations
import typing
import datetime
import numpy as np
import numpy.typing as npt
import df # type: ignore
import mpi # type: ignore
from . import time
import stats # type: ignore
from .domain import *
date_t = datetime.datetime | datetime.da... |
import gevent
from gevent import monkey
import requests
import time
start_time = time()
monkey.patch_all()
urls = ['http://www.dictionary.com/browse/sit', 'http://phrasefinder.io/search?corpus=eng-us&query=The cat perched']
def print_head(url):
print('Starting %s' % url)
data = requests.get(url).text
p... |
from __future__ import division
from __future__ import print_function
import time
import os
import json
# Train on CPU (hide GPU) due to memory constraints
os.environ['CUDA_VISIBLE_DEVICES'] = ""
import tensorflow as tf
import numpy as np
import scipy.sparse as sp
import matplotlib.pyplot as plt
from s... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import json
import os
import sys
import subprocess
import cgruutils
def processMovie( i_file):
out = dict()
out['infile'] = i_file
if not os.path.isfile( out['infile']):
out['error'] = 'Input file does not exist.'
return out
params = {... |
#!/usr/bin/python
# TODO:
# Send multiple ping requests for each neighbor and then take the average
# Update the return message format
import sys
import os
import subprocess
from neighbors import my_neighbors
from process_topology import ip_prefix2site_prefix
interest = sys.argv[1]
site = interest.split("/script")[0... |
import unittest
from katas.kyu_7.greatest_common_divisor import mygcd
class MyGCDTestCase(unittest.TestCase):
def test_equals(self):
self.assertEqual(mygcd(30, 12), 6)
def test_equals_2(self):
self.assertEqual(mygcd(8, 9), 1)
def test_equals_3(self):
self.assertEqual(mygcd(1, 1)... |
from TxtVenture.tools.implementations import *
from TxtVenture.generic.worldspace import WorldSpace
class TestRoom(WorldSpace):
""" A test room to play around with. """
def __init__(self, id, temp):
super(TestRoom, self).__init__(id, temp)
def main(self):
respond(self.description)
... |
import sys
import os
import shutil
import subprocess
import functools
sys.path.insert(0, 'scripts')
sys.path.insert(0, 'tools/families')
sys.path.insert(0, 'tools/trees')
import experiments as exp
import fam
import create_random_tree
from ete3 import Tree
import re
def treat_amalgamation(amalgamation, datadir, family... |
# -*- coding: utf-8 -*-
# Copyright 2013-2020 The Wazo Authors (see the AUTHORS file)
# SPDX-License-Identifier: GPL-3.0-or-later
common_globals = {}
execfile_('common.py', common_globals)
MODEL_VERSIONS = {
u'CP920': u'78.84.0.125',
u'CP960': u'73.84.0.25',
u'T19P_E2': u'53.84.0.125', # 53.84.0.90 ver... |
# -*- coding: utf-8 -*-
import importlib
from django.dispatch import receiver
from django.conf import settings
from django.test.signals import setting_changed
from django.core.exceptions import ImproperlyConfigured
from django.utils.translation import ugettext_lazy as _
from crispy_forms.helper import FormHelper
fr... |
#!/usr/bin/env python
# script for drawing algorithm result
import argparse
from math import ceil, floor
import random
import warnings
# drawing shapes
import turtle as t
# save turtle to file
import Tkinter as tk
parser = argparse.ArgumentParser(description =
'Draw layout of small boards on big board.')
parser.a... |
from django.contrib.auth import authenticate, login, logout
from django.contrib.auth.models import User
from django.http import HttpResponse, HttpResponseRedirect
from django.shortcuts import render
from django.urls import reverse
# Create your views here.
def index(request):
return render(request, "personal/index.ht... |
# Copyright (c) 2015 Mellanox Technologies, Ltd
# All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License"); you may
# not use this file except in compliance with the License. You may obtain
# a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# U... |
import werobot
from werobot.session.filestorage import FileStorage
import sys
robot = werobot.WeRoBot(token='ZeroAI')
@robot.text
def hello(message):
return '维护中，预计北京时间2022-12-11 23点恢复。'
robot.config['HOST'] = '0.0.0.0'
robot.config['PORT'] = 80
robot.run() |
import pandas_datareader.data as webdata
from datetime import date
import numpy as np
from scipy import signal
import matplotlib.pyplot as plt
from scipy import fftpack
from matplotlib.dates import DateFormatter
from matplotlib.dates import DayLocator
from matplotlib.dates import MonthLocator
from dateutil.relativedelt... |
#!/proj/sot/ska3/flight/bin/python
#
#--- this script fix wrong temperature limit
#---
#--- May 10, 2021
#---
import os
import sys
import re
import string
import time
import numpy
import astropy.io.fits as pyfits
from astropy.io.fits import Column
import Chandra.Time
#
#--- reading directory list
#
path = '/da... |
import json
import marshmallow as ma
from datetime import datetime
from webargs import fields
__all__ = [
'Str', 'Int', 'Bool', 'List', 'DelimitedList', 'Nested', 'Timestamp'
]
Str = fields.Str
Float = fields.Float
Int = fields.Int
Bool = fields.Bool
List = fields.List
DelimitedList = fields.DelimitedList
Nested ... |
from django.db import models
# Create your models here.
class Category(models.Model):
name=models.CharField(max_length=64)
def __str__(self):
return f"{self.name}"
class Regular_pizza(models.Model):
name=models.CharField(max_length=64)
small=models.DecimalField(max_digits=4,decimal_places=2)
... |
from knowledge_graph import app
import json
from json import dumps, load
from flask import request, make_response, abort, Response
from knowledge_graph.Mind import Mind
value_id_map = {
1 : "conformity",
2 : "tradition",
3 : "benevolence",
4 : "universalism",
5 : "self-direction",
6 : "sti... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Copyright (C) 2015-2018 Shenzhen Auto-link world Information Technology Co., Ltd.
All Rights Reserved
Name: Config.py
Purpose:
Created By: Clive Lau <liuxusheng@auto-link.com.cn>
Created Date: 2017-01-01
Changelog:
Date Desc
2017-01-01 ... |
import cv2
import sys
#import pygame
#i'm using pygame beacause he is too cute but nobody likes him. I feel sad about that cute python library
cascPath = sys.argv[1]
eyecaspath = sys.argv[2]
faceCascade = cv2.CascadeClassifier(cascPath)
eye_cascade = cv2.CascadeClassifier(eyecaspath)
video_capture = cv2.VideoCapture(0... |
# sudo CFLAGS=-stdlib=libc++ python3 maml.py
import argparse
import random
import pandas as pd
import pickle
import numpy as np
import torch
from torch import nn, optim
from torch.nn import functional as F
from torch.utils.data import DataLoader
import learn2learn as l2l
import torchtext
from torchtext.datasets imp... |
# -*- coding: utf-8 -*-
"""Tests for utmp files."""
import unittest
from dtformats import utmp
from tests import test_lib
class LinuxLibc6UtmpFileTest(test_lib.BaseTestCase):
"""Linux libc6 utmp file tests."""
# pylint: disable=protected-access
def testDebugPrintEntry(self):
"""Tests the _DebugPrintEnt... |
# Generated by Django 2.1.7 on 2019-04-20 06:42
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('amazon', '0007_auto_20190420_1209'),
]
operations = [
migrations.RenameField(
model_name='women_shops_clothes',
old_name='pr... |
import sys
import os
f = open("C:/Users/user/Documents/python/ant/import.txt","r")
sys.stdin = f
# -*- coding: utf-8 -*-
MAX_N = 100000
N = int(input())
S = list(map(int,input().split()))
T = list(map(int,input().split()))
itv = [0] * N
for i in range(N):
itv[i] = (T[i],S[i])
itv.sort()
ans... |
#################################################
#Introduction to Python Programming Constructs #
#Csci 1913 #
#Author(s): #
#Date: #
# #
####################... |
import tensorflow as tf
def lstm(input_feature=1000, output_feature = 46):
model = tf.keras.Sequential([
tf.keras.layers.Embedding(input_feature, 80),
tf.keras.layers.LSTM(80),
tf.keras.layers.Dense(output_feature, activation='sigmoid')
])
model.compile(loss='categorical_crossentr... |
for x in range(1, 11):
for y in range(1, 11):
if y <= x: print(x*y, end = ' ')
print("\r") |
import os
import sys
sys.path.append('..')
sys.path.append('../..')
import argparse
import utils
from student_utils import *
"""
======================================================================
Complete the following function.
======================================================================
"""
import ... |
from image_diet.test_diet import DietTest
from image_diet.test_commands import DietCommandTest
|
tabela = ('Atlético-PR', 'Atlético-GO', 'Atlético-MG', 'Bahia', 'Botafogo',
'Ceará SC', 'Corinthinas', 'Coritiba', 'Flamengo', 'Fluminense',
'Fortaleza', 'Goiás', 'Grêmio', 'Internacional', 'Palmeiras',
'Bragantino-SP', 'Santos', 'Sport Recife', 'São Paulo', 'Vasco da Gama')
print('-=' * 1... |
# -*- mode: python -*-
import os
import shutil
for root, dirs, _ in os.walk("."):
for d in dirs:
if d == '__pycache__' and os.path.isdir(os.path.join(root, d)):
shutil.rmtree(os.path.join(root, d))
block_cipher = None
a = Analysis(
['ACExplorer.py'],
pathex=['D:\\Programs\\AC-Explorer'],
binaries=[],
datas=... |
import json
import responses
from changes import packaging, vcs
from . import context, setup, teardown
def test_commit_version_change():
vcs.commit_version_change(context)
def test_tag_and_push():
vcs.tag_and_push(context)
@responses.activate
def test_github_release():
responses.add(
responses... |
from spack import *
import sys,os
sys.path.append(os.path.join(os.path.dirname(__file__), '../../common'))
from scrampackage import write_scram_toolfile
class VinciaToolfile(Package):
url = 'file://' + os.path.dirname(__file__) + '/../../common/junk.xml'
version('1.0', '68841b7dcbd130afd7d236afe8fd5b949f01761... |
from django.db import models
from taggit.managers import TaggableManager
# Create your models here.
# Blog Post Model
class Blogpost(models.Model):
title = models.CharField(max_length=250)
tags = TaggableManager()
image = models.ImageField(upload_to='post/', blank=True, null=True)
description = models... |
from dataclasses import dataclass, astuple
from copy import deepcopy
@dataclass
class Pos:
y: int
x: int
def __hash__(self):
return hash(astuple(self))
def __add__(self, other):
return Pos(y=self.y + other.y, x=self.x + other.x)
def __lt__(self, other):
return astuple(sel... |
import os
import pickle
class ConfigKeyError(Exception):
def __init__(self, this, key):
self._key = key
self._keys = this.keys()
def __str__(self):
return "Key \"{}\" not found. Available Keys : {}".format(self._key, self._keys)
class ConfigDict(dict):
config_dir... |
from django.contrib import admin
from .models import Roaster
# Register your models here.
admin.site.register(Roaster) |
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
import pylab as pl
import seaborn as sns
#load page_views and page_edits
df_edits = pd.read_csv('pageedits_agg_subset.txt', sep="\t", header=None,
names=["article","article_id","page_size","num_revisions",
... |
DEFAULT_DISCOUNT_PERCENT = 5 # Процент скидки по бонусной карте
BONUS_CARD_NUMBER_LEN = 15
BONUS_CARD_EMBOSSED_LEN = 6
CARD_SEARCH_MAP = {
BONUS_CARD_EMBOSSED_LEN: 'embossed_number',
BONUS_CARD_NUMBER_LEN: 'number',
}
LOGGER_NAME = 'errors'
CEILING = 50 # Рублей - кратность, до которой необходимо округлять
|
import os
import sys
import re
class Worker:
def __init__(self):
self.job = "."
self.timeRemaining = 0
def setup():
global fileHandle, fileData
filename = input("Enter an input file name (default input2.txt): ")
if filename == "":
filename = "input2.txt"
exists = os.path.... |
'''
Given two arrays, write a function to compute their intersection.
Example 1:
Input: nums1 = [1,2,2,1], nums2 = [2,2]
Output: [2]
Example 2:
Input: nums1 = [4,9,5], nums2 = [9,4,9,8,4]
Output: [9,4]
Note:
Each element in the result must be unique.
The result can be in any order.
'''
class Solution:
def inter... |
# 递归，写好伴随条件
# 0需要特殊处理一下
# 直接a
class Solution:
def restoreIpAddresses(self, s: str) -> List[str]:
self.res = []
if len(s) > 12:
return self.res
def recur(s:str, cnt:int, temp:str):
# 此次划分不合要求，加快收敛
if len(s) > (4-cnt)*3:
return
... |
#!/usr/bin/env python
# coding: utf-8
# # Assignment 4 Day 4
# Q.1 Find all occurences of substring in given string and print index.
#
# Input String: " what we think we become; we are python programmer"
# In[10]:
mainStr = 'what we think we become; we are python programmer'
substring = 'we'
print('substring is... |
import exceptions
import os
import time
import datetime
from wnodes.utils import utils
class MessageStoreError(exceptions.Exception):
pass
class MessageFormat(object):
header = 'APEL-cloud-message: v0.1'
def __init__(self, records_list = []):
self.records_list = records_list[:]
def add_rec... |
import numpy as np
import pandas as pd
import datetime
import data_examples
import feature_engineering
import pipeline
if __name__ == '__main__':
print(pipeline.predict_cao(
data_examples.CHARGE_CHEMISTRY,
data_examples.LIMESTONE_CONSUMPTIONS,
data_examples.CHARGE_CONSUMPTIONS,
dat... |
import requests
import re
from config import *
from requests.packages import urllib3
urllib3.disable_warnings()
def get_status_response(ip_addr):
url = 'https://' + ip_addr + ':2004/web/dynamic.php'
data = dict(ref='/header', autostart=0, target='refreshAlarm', r=0)
try:
response = requests.get(... |
# Generated by Django 2.2.7 on 2019-11-23 23:21
from django.db import migrations, models
import django.db.models.deletion
class Migration(migrations.Migration):
dependencies = [
('info', '0007_auto_20191123_1902'),
]
operations = [
migrations.AlterField(
model_name='compensa... |
# Copyright 2014 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
from dataclasses import dataclass
from typing import Any, Callable, Mapping
from pants.base.parse_context import ParseContext
from pants.util.frozendic... |
from django.test import TestCase
from elections.models import ElectedRole
from elections.utils import ElectionBuilder
from organisations.tests.factories import OrganisationFactory
from .base_tests import BaseElectionCreatorMixIn
class TestElectoralSystems(BaseElectionCreatorMixIn, TestCase):
def test_scotland_lo... |
from .drivers.driverchrome import DriverChrome
from .drivers.driver import IDriver |
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