text stringlengths 38 1.54M |
|---|
n=int(input())
for i in range(1,n+n+1,2):
ls=[]
for j in range(i):
ls.append(1)
print(*ls)
|
# -*- coding: utf-8 -*-
"""
Created on Sun Feb 28 11:37:04 2021
@author: Maxi
"""
# Problem 1
"""
Assume s is a string of lower case characters.
Write a program that counts up the number of vowels contained in the string s. Valid vowels are: 'a', 'e', 'i', 'o', and 'u'. For example, if s = 'azcbobobegghakl'... |
from tkinter import *
from tkinter import ttk
root_window = Tk()
root_window.geometry('+550+350')
root_window.title('Temperature converter')
root_window.columnconfigure(0, weight=1)
root_window.rowconfigure(0, weight=1)
root_window.resizable(False, False)
celsius_value = StringVar()
fahrenheit_value = StringVar()
fr... |
############################################################################
# Copyright 2018 Anthony Ma & Stanford University #
# #
# Licensed under the Apache License, Version 2.0 (the "License"); #
# you may no... |
import csv
import zipfile
from io import TextIOWrapper
from tempfile import TemporaryDirectory
from typing import List, Optional
from uuid import UUID
from .base import HQBase
from .interviews import InterviewsApi
from .models import AssignmentWebLink, QuestionnaireDocument
class QuestionnairesApi(HQBase):
""" S... |
def coroutine_decorator(func):
def start(*args, **kwargs):
cr = func(*args, **kwargs)
next(cr)
return cr
return start
def natural_numbers(*targets):
try:
number = int(input("Enter any natural numer > 1:"))
if number < 1:
print("Please enter a number great... |
#Embedded file name: eve/client/script/ui/station/fitting\fittingLayout.py
from eve.client.script.ui.control.themeColored import SpriteThemeColored
import uicls
import carbonui.const as uiconst
import trinity
import uiprimitives
import uicontrols
class FittingLayout(uiprimitives.Container):
__guid__ = 'uicls.Fitti... |
from flask import Flask, jsonify, g
from flask_login import LoginManager
import os
from flask_cors import CORS
import models
from resources.users import users
from resources.profiles import profiles
from resources.jobposts import jobposts
from resources.companies import companies
from resources.jobapplications import... |
from collections import namedtuple
Data = namedtuple('Data', ['station', 'timestamp', 'value'])
DataComparison = namedtuple('DataComparison', ['timestamp', 'pg_value', 'mongo_value'])
|
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.contrib.auth.models import User
from django.db import models
class Contact_types(models.Model):
type = models.CharField(verbose_name='Тип контакта', max_length=30)
def __unicode__(self):
return self.type
class Meta:
... |
import os
import pandas as pd
import numpy as np
import math
from scipy.stats import gmean
from fuzzywuzzy import fuzz
pd.options.display.max_seq_items = 2000
pd.options.display.max_colwidth = 1000
x =pd.read_csv('/home/mint/my-data/WebScrapingPhase2/Data/test/_main_.csv',encoding = "latin_1")
#x = pd.read_csv('... |
p=int(input("enter the p value"))
t=int(input("enter the t value"))
r=int(input("enter the r value"))
si=(p*t*r)/100
print("simple intrest",si) |
import torch
from collections import OrderedDict, Counter
from functools import partial
from dataclasses import dataclass
from typing import Tuple, List
from copy import deepcopy
from math import prod
class StatsCounter:
def __init__(self):
self._dict = {}
def update(self, key, v=None):
if ke... |
# --------------------------------------------------------------------------------------------
# Copyright (c) Microsoft Corporation. All rights reserved.
# Licensed under the MIT License. See License.txt in the project root for license information.
# -------------------------------------------------------------------... |
from netket import legacy as nk
# 1D Lattice
L = 20
g = nk.graph.Hypercube(length=L, n_dim=1, pbc=True)
# Hilbert space of spins on the graph
hi = nk.hilbert.Spin(s=1 / 2, N=g.n_nodes, total_sz=0)
ha = nk.operator.Ising(hilbert=hi, graph=g, h=1.0)
alpha = 1
ma = nk.machine.JaxRbm(hi, alpha, dtype=complex)
ma.init_r... |
import random
import pygame
import numpy as np
from random import randint
class Sudoku(object):
def __init__(self,):
self.board = np.zeros((9,9), dtype=int)
def get_row(self, i):
b = self.board
row = []
row.append(b[i])
return b[i]
def get_col(self, j):
... |
# -*- coding: utf-8 -*-
__author__ = 'chuter'
def string_json(str):
sb=[];
for char in str:
if char == '\"':
sb.append("\\\"")
elif char == '\\':
sb.append('\\\\')
elif char == '/':
sb.append('\\/')
elif char == '\b':
sb.append('\\b');
elif char == '\f':
sb.append('\\f')
... |
#!/usr/bin/env python3
##
## generate-ec2-ssh-config.py
##
## EC2 - Boto 3 Docs 1.9.49 documentation
## https://boto3.amazonaws.com/v1/documentation/api/latest/reference/services/ec2.html
##
import boto3
client = boto3.client('ec2')
response = client.describe_instances()
for reservation in response['Reservations']:
... |
import data
import graph
import fileManager
import random
from NNModel import NNModel as NN
dirName = fileManager.get_random_directory()
print("New project:", dirName)
new_data = data.Data()
new_data.generate_data(2, 20)
# print(new_data.positions)
# print(new_data.types)
graph_detail = 20
def randomClass(x, y):
... |
#! /usr/bin/env python3
import os
import sys
import shutil
import yaml
import subprocess
def examineTraceFile(work_dir):
try:
inputyaml = open(os.path.join(work_dir, 'input.yaml'), 'r')
except:
print ("FAIL: (ERROR) input.yaml not found! work_dir:", work_dir)
return False
config_dict = yaml.load(inputyaml)
... |
from flask_api import FlaskAPI
from debug import debug_app
from deeprole import deeprole_app
import os
import markdown
DIR = os.path.abspath(os.path.dirname(__file__))
app = FlaskAPI(__name__)
app.config['DEFAULT_RENDERERS'] = [
'flask_api.renderers.JSONRenderer',
]
app.register_blueprint(debug_app, url_prefi... |
import re
# list of patterns to search for
patterns = ['term1', 'term2']
# Text to parse
text = 'This is a string with term1, but it does not have the other term.'
for pattern in patterns:
print('Searching for {} in \n {}'.format(pattern ,text))
# check for match
if re.search(pattern, text):
print("\t Match f... |
#! /usr/bin/env python
#
# Summary of BX distributions
#
import sys
import optparse
import string
import os
# options
parser = optparse.OptionParser()
parser.add_option("-d", "--dir", action="store")
(opts, args)=parser.parse_args()
dataset=opts.dir
# ROOT stupidity
sys.argv=[]
sys.argv.append('-b')
from ROOT i... |
#from django.conf.urls import patterns, include, url
from django.conf.urls.defaults import *
from django.contrib.staticfiles.urls import staticfiles_urlpatterns
from django.views.generic import TemplateView
from hmslincs_server.views import *
from settings import _djangopath
import os.path as op
urlpatterns = patter... |
# uncompyle6 version 3.7.4
# Python bytecode 2.7 (62211)
# Decompiled from: Python 3.8.5 (default, Aug 12 2020, 00:00:00)
# [GCC 10.2.1 20200723 (Red Hat 10.2.1-1)]
# Embedded file name: c:\Jenkins\live\output\Live\win_64_static\Release\python-bundle\MIDI Remote Scripts\Roland_FA\transport.py
# Compiled at: 2020-05-05... |
import numpy as np
import matplotlib.pyplot as plt
from sklearn.metrics import roc_curve
import pickle
def load_variable(filename):
with open(filename, 'rb') as f:
var_list = pickle.load(f)
return var_list
x = np.arange(0.0, 1.1, 0.1)
y = x
true_y, pred_y, = load_variable("netgan_baseline_ro... |
from django.shortcuts import render
from django.http import HttpResponse
def social_view(request, *args, **kwargs):
print(request)
return render(request, "home.html", {})
def contact_view(request, *args, **kwargs):
print(request)
return render(request, "contact.html", {})
def about_view(request, *arg... |
#https://leetcode.com/problems/intersection-of-two-arrays/
class Solution:
def intersection(self, nums1: List[int], nums2: List[int]) -> List[int]:
n=set(nums1)
m=set(nums2)
ans=[]
for i in n:
if i in m:
ans.append(i)
return ans
|
from odoo import api, fields, models, _
from datetime import date,datetime
from dateutil.relativedelta import relativedelta
import logging
_logger = logging.getLogger(__name__)
class SchoolStudentModel(models.Model):
_name = "school.student"
# _description = "School students data"
_rec_name = "name"
n... |
# Generated by Django 3.1.6 on 2021-03-23 19:17
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('response', '0004_auto_20210308_1958'),
]
operations = [
migrations.RemoveField(
model_name='response',
name='profile',
... |
import pyautogui as pg
import time
start_range = int(input('Enter start point: '))
file_x = 470
file_y = 190
for i in range(start_range, 291, -1):
print(i)
# click on the Add button
pg.click(269, 105)
time.sleep(1.5)
# click on 'select tweet ID file' button
pg.click(182, 289)
time.sleep(... |
import matplotlib.pyplot as plt
import numpy as np
import csv
import sys
data = [[] for i in range(int(sys.argv[2]))]
colors = ['red','orange','pink','green','blue','black','purple','grey']
num = -1
for index,row in enumerate(csv.reader(open(sys.argv[1],"r"))):
if index%15==0:
num =num +1
data[num].append(row)
f... |
from typing import Any
from resources.exceptions.error import *
def find_key(*objective_key, search_dict: dict = None, error_message: str = "Keys not found in dict") -> Any:
"""[summary]
returns search dict value if objective key is in the dictionary. objective key can be multiple arguments.
Args:
... |
import math
class Umrechnung(object):
# Radius der Meccanum-Räder in m
__radius = 0.152/2
# Senkrechter Abstand der Räder zur Mittelachse in m = Drehradius bei Rotation um Mittelpunkt (noch nicht ausgemessen!)
__abstand = 0.17
## Konstruktor
# Eingabeparameter:
# uMax: maxima... |
import requests
class TestCheckCookies:
def test_check(self):
url = 'https://playground.learnqa.ru/api/homework_cookie'
response = requests.get(url)
cookie = dict(response.cookies)
cookie_value = response.cookies.get('HomeWork')
assert cookie_value == 'hw_value', "Wrong val... |
#!/usr/bin/env python
import threading
from std_msgs.msg import *
import rospy
import numpy
import sys
from std_srvs.srv import *
from irpos import *
import math
from transformations import *
from visualization_msgs.msg import Marker
from visualization_msgs.msg import MarkerArray
# mutexy dla zmiennych, do ktorych z... |
#!/usr/bin/env python
# coding: utf-8
from django.core.context_processors import csrf
from django.template import Context, RequestContext
from django.http import HttpResponseRedirect
from django.shortcuts import get_object_or_404, render_to_response
from django.contrib.auth.decorators import login_required
from djang... |
import numpy as np
import cv2
start = 1
duration = 10
fps = '30'
capture = cv2.VideoCapture('vtest.avi')
outfile = 'heatmap.avi'
while True:
try:
_, f = capture.read()
f = cv2.cvtColor(f, cv2.COLOR_BGR2GRAY)
f = cv2.GaussianBlur(f, (11, 11), 2, 2)
cnt = 0
res = 0.05 * f
... |
#!/usr/bin/env python
import requests
import os
import subprocess
import argparse
# 从环境变量中获取OpenAI API密钥
api_key = os.environ.get("OPENAI_API_KEY")
if api_key is None:
print("错误：未设置OPENAI_API_KEY环境变量。请设置变量并重试。")
exit()
def text_to_command(text):
response = requests.post(
"https://api.openai.com/v1... |
import datetime
import logging
import pickle
import re
import time
import urllib
from google.appengine.api import memcache
from google.appengine.ext import db
from google.appengine.ext import search
import accounts
import provider
import system
class QuoteException(Exception):
pass
class InvalidQuoteStateExceptio... |
import tensorflow as tf
from .piece import Piece
class Board:
SIZE = 9
ROW_LENGTH = 3
def __init__(
self, board_positions, previous=None, next_player=Piece.CROSS
):
self._array = board_positions
self.previous = previous
self._next_player = next_player
@staticmetho... |
from dataclasses import dataclass
@dataclass
class Student:
name: str
age: int
li = [Student('小明', 11), Student('小红', 12),
Student('小青', 9)]
li.sort(key=lambda e: e.age)
print(li)
li = [Student('小明', 11), Student('小红', 12),
Student('小青', 9)]
li2 = sorted(li, key=lambda e: e.age)
print(li)
pri... |
import argparse
import os
from torch.backends import cudnn
from data_loader import get_loader
from solver import Solver
def str2bool(v):
return v.lower() in ('true')
def main(config):
if config.mode == 'gen_mobile_model':
solver = Solver(config, None, None)
solver.gen_mobile_model()
... |
import os
import glob
import pandas as pd
import boto3
import logging
from botocore.exceptions import ClientError
import sys
import threading
text_path = str(os.path.abspath(os.path.join('../data/preprocessed')))
csv_path = str(os.path.abspath(os.path.join('../data/text.csv')))
bucket_name = "chang-stt-bucket"
cloud_... |
from blocks.initialization import IsotropicGaussian, Constant
import data
from model.mlp_emb import Model, Stream
use_cuts_for_training = True
dim_embeddings = [
# ('origin_call', data.origin_call_train_size, 100),
# ('origin_stand', data.stands_size, 100),
# ('week_of_year', 52, 100),
# ('day_of_wee... |
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Mon Mar 9 14:35:11 2020
@author: Ethan
"""
import rospy
from pololu_drv8835_rpi import motors # MAX_SPEED is 480 (hard-coded)
'''
Future work: write these in yaml file
'''
speed_desired = 0.5 # desired wheel speed in rpm
angle_desired = 0.0 # desired a... |
from django.contrib.auth.models import User
from django.db import models
from ckeditor.fields import RichTextField
# Create your models here.
from django.urls import reverse
class ScopeManage(models.Model):
SCOPE_TYPES = (
('Fellowship', 'Fellowship'),
('Internship', 'Internship'),
('Resear... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import sys
from collections import defaultdict
import datetime
import logging
import unicodedata
# pip install python-telegram-bot
# https://github.com/python-telegram-bot/python-telegram-bot
# https://github.com/python-telegram-bot/python-telegram-bot/blob/master/example... |
import makEasy
import types,json
import meTime as mT
import math
from pathlib import Path
Machine=makEasy.Machine("MAC032","Impianto Taglio Plasma - BBS")
makEasy.WORKSET['PlasmaCut'].Machines.append(Machine)# ??????
f = open(Path(makEasy.FOLDER+"/Machines/MAC032")/"MaterialParameters.json", "r")
MAC_PARAMETERS=json.... |
import numpy as np
from process_testset import *
def levenshteinDistance(s1, s2):
if len(s1) > len(s2):
s1, s2 = s2, s1
distances = range(len(s1) + 1)
for i2, c2 in enumerate(s2):
distances_ = [i2+1]
for i1, c1 in enumerate(s1):
if c1 == c2:
... |
# -*- coding: utf-8 -*-
#
# This file is part of Invenio.
# Copyright (C) 2015-2019 CERN.
#
# Invenio is free software; you can redistribute it and/or modify it
# under the terms of the MIT License; see LICENSE file for more details.
"""Handlers for customizing oauthclient endpoints."""
from functools import partial,... |
# import libraries
from gtts import gTTS
import pygame,picamera
import pytesseract
import os,time
from PIL import Image
import numpy as np
import cv2
import datetime
import pyaudio
from subprocess import call
import speech_recognition as sr
import shelve,os
#to get foldername for captured image by date
dt=datetime... |
import sys
from os import listdir, makedirs
from os.path import join, exists, splitext
import numpy as np
from sklearn.utils import shuffle
from sklearn.externals import joblib
from sklearn import linear_model
import pickle
# Configure
train_by_all = False
n_trains = 200
# Read command line arguments
argv = sys.argv... |
"""Selenium Page Adapter."""
import os
from pkg_resources import get_distribution, DistributionNotFound
from .descriptors import ElementDescriptor, AllElements, AvailableElements
from .adapter import PageAdapter
try:
_dist = get_distribution('selenium_page_adapter')
if not __file__.startswith(os.path.join(_di... |
from sklearn.datasets import load_iris
dane = load_iris()
print(dane.keys())
print("ilość danych z rozmiarami płatków: {}".format(dane.data.shape))
print("dane iris zawierają {} cech o nazwach: {}".format(dane.data.shape[1], dane.feature_names))
print("dane iris zawierają {} gatunków o nazwach: {}".format(dane.targe... |
#!/usr/bin/python3
import requests
from wxpy import *
import json
import logging
logging.basicConfig(level=logging.INFO)
# 减少网络层日志的干扰
for m in 'requests', 'urllib3':
logging.getLogger(m).setLevel(logging.WARNING)
bot = Bot(cache_path=True)
# 开启 puid 获取功能，指定 puid 映射数据的保存路径
bot.enable_puid('wxpy_puid.pkl')
# 在群中... |
from spell_checker.Radix import *
class RadixTree(Radix):
"""Tree of radices, where each path, if final, represents a word.
"""
def __contains__(self,other,tree=None):
"""Checks if a word is contained in the CharacterTree.
In other words, checks if all characters are present in the object and if the last one i... |
from AttackerCalc import AttackerCalc
from FeaturesCalc import FeaturesCalc
from PacketFilter import PacketFilter
from MTADownloader import MTADownloader
from NeuralNetwork import NeuralNetwork
from LegitimateDownloader import LegitimateDownloader
from Agent import Agent
from CSV import CSV
from scapy.all import *
impo... |
"""
Created on Sat June 06 2020
@author: evadatinez
"""
from MyAIGuide.data.export_excel import exportParticipantDataframeToExcel
from MyAIGuide.data.complaintsData import complaintsData
import numpy as np
import os.path
import pandas as pd
from pandas._testing import assert_frame_equal
# create empty test datafram... |
from sklearn.datasets.samples_generator import make_blobs
import matplotlib.pyplot as plt
from sklearn.cluster import KMeans
data, target = make_blobs(n_samples=400, centers=4, cluster_std=0.95, random_state=0)
#obs:the random_state is
#it is like a read.csv. We already generate it separated between data and data... |
# -*- coding: utf-8 -*-
from __future__ import unicode_literals
from django.shortcuts import render
from django.http import HttpResponse
from .models import Book
from .models import Rental
from .forms import UserForm
def index(request):
if (request.user.is_authenticated()):
books = Book.objects.filte... |
import numpy as np
from scipy.signal import windows
eps = np.finfo(np.float32).eps
def median_filter(x, kernel_size):
pad = (kernel_size - 1) // 2
x_pad = np.concatenate((np.zeros(pad), x, np.zeros(pad)))
y = np.zeros_like(x)
for i in range(len(y)):
median_arg = np.argsort(np.abs(x_pad[i : i +... |
from graph import Graph
def f(x):
return x**2
g1 = Graph()
g1.plot("Linear Function")
g2 = Graph(f)
g2.plot("Quadratic Function") |
#
# -*-encoding:gb2312-*-
import os
import hashlib
from twisted.internet import reactor, defer
from bitfield import Bitfield
from tools import sleep
class BTFileError (Exception) :
pass
class BTHashTestError (Exception):
pass
class BTFile:
def __init__(self, metainfo, index, saveDir):
fileinf... |
import pandas as pd
my_stat = pd.read_csv('my_stat.csv')
print(my_stat.head(10))
# В переменную subset_1 сохраните только те наблюдения, у которых значения переменной V1 строго больше 0,
# и значение переменной V3 равняется 'A'.
subset_1 = my_stat.loc[(my_stat['V1'] > 0) & (my_stat['V3'] == 'A')]
print(subset_1)
... |
import numpy as np
from pvfactors.irradiance.utils import \
perez_diffuse_luminance, breakup_df_inputs, calculate_circumsolar_shading
def test_perez_diffuse_luminance(df_perez_luminance):
"""
Test that the calculation of luminance -- first step in using the vf model
with Perez -- is functional
"""... |
import solution
import utils
import DNA_RNA_REVC
class ORF(solution.Solution):
def _read(self, f):
return utils.read_fasta(f, dna_only=True)[0]
def _translate(self, rna):
"""Translate the RNA block starting with the start codon
and without a stop codon."""
return ''.join([u... |
from django.test import TestCase
from lists.models import Item
class HomePageTests(TestCase):
def test_uses_home_template(self):
response = self.client.get('/')
self.assertTemplateUsed(response, 'home.html')
def test_can_save_post_request(self):
response = self.client.post('/', data... |
# -*- coding: utf-8 -*-
"""
Created on Mon Apr 27 15:37:40 2020
Maker : bychoi@deu.ac.kr
@author: Com
"""
# sample player file which must be made by student
from player import *
from stone import *
from random import *
class iot12345_student(player):
def __init__(self, clr):
super().__init__( clr) ... |
from django.contrib import admin
from .models import Course, Module, Enrollment, Coupon, Subject, ModuleFile,Payment,Zoom
# Register your models here.
admin.site.register(Course)
admin.site.register(Module)
admin.site.register(Enrollment)
admin.site.register(Coupon)
admin.site.register(Subject)
admin.site.register(Mod... |
#!/usr/bin/env python3
import argparse
import os
import re
from contextlib import contextmanager
from typing import Iterable
@contextmanager
def working_directory(dir: str):
prev_wd = os.getcwd()
if not os.path.exists(dir):
os.makedirs(dir)
os.chdir(dir)
try:
yield
finally:
... |
from typedclass.fields.data.f_binary.core import Binary
from typedclass.fields.data.f_bool.core import Bool
from typedclass.fields.data.f_date.core import Date
from typedclass.fields.data.f_datetime.core import DateTime
from typedclass.fields.data.f_decimal.core import Decimal
from typedclass.fields.data.f_int.core imp... |
# coding=utf-8
import sys
def solution(long_string, alphabet):
# 在这里写你的实现
if len(long_string)<len(alphabet):
return ""
result=[]
for i in range(len(long_string)):
array=[]
alphabets=list(alphabet)
if long_string[i] in alphabets:
start=i
alphabets... |
"""
Tests for app news_feed
"""
from textwrap import dedent
from django.test import TestCase
from django.db.utils import IntegrityError
from django.core.exceptions import ValidationError
from news_feed.models import NewsReport
DEFAULT_DICT_NEWS = {
'name': 'Test. Test2',
'preview': 'test',
'text': deden... |
import json
import logging
from urllib import urlencode
from urllib2 import quote, urlopen, URLError
logger = logging.getLogger(__name__)
BASE_URL = 'http://api.phila.gov/opa/v1.0/'
ADDRESS_ENDPOINT = 'address/'
ACCOUNT_ENDPOINT = 'account/'
params = {
'format': 'json',
}
def get_address_data(address):
if ... |
import os
import time
from datetime import datetime
from shutil import which
from urllib.parse import urljoin, urlparse
import scrapy
from scrapy_selenium import SeleniumRequest
from selenium.webdriver.common.by import By
from selenium.webdriver.support import expected_conditions as EC
class NaverBlogSpider(scrapy.Sp... |
import numpy as np
from utils.signal_stats import detect_R_peak
import random
class HeartBeatSegmenter(object):
"""Split ecg signal into individuals heartbeats.
Args:
segment_size(tuple or int): Desired segment size.
take_average(boolean): average the heartbeats pairs
"""
def __init__... |
# EXERCÍCIO Nº 16- LISTA 04 - LISTAS
print('\nVendedoes e comissões')
print('#####################\n')
faixas_salariais=[(200,299),(300,399),(400,499),(500,599),(600,699),(700,799),(800,899),(900,999),(1000,'em diante')]
salarioBase=200
valorvendas=1
vendas = [0, 0, 0, 0, 0, 0, 0, 0, 0]
a=0
while valorvendas!... |
from SVM import SVM
from SVM import *
from bagged_forest import build_roots, setToN
import numpy as np
import dt
import copy
def data_set_from_roots(roots, X, debug=False):
transformed = []
for x in copy.deepcopy(X):
predictions = []
for root in roots:
prediction = root.predict(x)
... |
#!/usr/bin/env python3
# Define function ...
def return_video_crop_parameters(fname, /, *, debug = False, dt = 2.0, playlist = -1, timeout = 60.0):
# Import standard modules ...
import shutil
import subprocess
# Import sub-functions ...
from .return_media_duration import return_media_duration
... |
#
# 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... |
from enum import Enum
from enum import auto
import pyglet
from button import Button
from chunkmanager import ChunkManager
from scoremanager import ScoreManager
from configmanager import ConfigManager
class MineField:
window_size = ConfigManager.config_dict.get("window_size")
score_label = pyglet.text.Labe... |
import sys
from PyQt5.QtWidgets import *
from PyQt5.QtCore import QCoreApplication
class MyWindow(QMainWindow):
def __init__(self):
super().__init__()
self.setupUI()
def setupUI(self):
self.setGeometry(800, 400, 230, 450)
# Label
label = QLabel("층수", self)... |
import torch
import gc
import os
import logging
import torch.optim as optim
import torch.nn as nn
from datetime import datetime
"""
5 Fold CV Best Loss: 0.6709386929869652 | 0.6842632591724396 | 0.6594144776463509 | 0.6695199608802795 | 0.6728682070970535
"""
# ==============================================
# Setup
#... |
"""Handle the loading of configuration files."""
import yaml
def load_config(config_file='/etc/thermopi.yaml'):
"""Load the configuration file.
Parameters
----------
config_file : str
Path to the configuration file to load.
Returns
-------
dict
Dict containing the config... |
import openpyxl
from datetime import datetime
from openpyxl import Workbook
wb = openpyxl.load_workbook('subbixl.xlsx')
sheets = ['Sheet1']
xin = input("P or A")
count = 0
yin = str(input("Date"))
my = datetime.strptime(yin, "%d-%m-%Y")
for sheet in sheets:
sh = wb[sheet] # Get a sheet from the workbook.... |
import numpy as np
from numpy.testing import assert_array_equal
import pytest
from numcodecs.categorize import Categorize
from numcodecs.tests.common import (check_encode_decode, check_config,
check_backwards_compatibility,
check_encode_decode_ar... |
# -*- coding: utf-8 -*-
import os
import json
import time
worldpath = './server/world'
savepath = './savelib'
class mcsave(object):
def __init__(self, savepath):
self.path = savepath
def backup(self, meta = {}, writeTime = True):
if writeTime:
clock = time.strftime('%Y%m%d',time.l... |
# -*- coding: utf-8 -*-
"""
Created on Sat Jul 14 13:22:55 2018
挖掘twitter tweets,找共现词,具体可见machine learning in action 235页
@author: Max Yang
"""
import twitter
from time import sleep
import re
import pandas as pd
import fpGrowth
def getLotsofTweets(searchStr):
CONSUMER_KEY='4nDxF5gYmarjAcAVCs8B0zSEA'
CONSUMER_... |
#
#=BEGIN
#
# This file is part of the Bluetooth use-case verification
#
# Copyright (C) ST-Ericsson SA 2010. All rights reserved.
#
# This code is ST-Ericsson proprietary and confidential.
# Any use of the code for whatever purpose is subject to
# specific written permission of ST-Ericsson SA.
#
#=END
#
import setup_p... |
#!/usr/bin/env python
import sqlite3
from dataclasses import fields
from jupyterlab_chameleon import db
try:
with sqlite3.connect("/work/.chameleon/chameleon.db") as conn:
cur = conn.cursor()
cur.execute("PRAGMA table_info(artifacts);")
columns = cur.fetchall()
column_names = [c[1]... |
import os
from .iterators import chunked_iterable
def list_s3_prefix(s3_client, *, bucket, prefix=""):
"""
Lists all the keys in a given S3 bucket/prefix.
"""
paginator = s3_client.get_paginator("list_objects_v2")
for page in paginator.paginate(Bucket=bucket, Prefix=prefix):
try:
... |
# -*- coding: utf-8 -*-
import jieba
import sys
import matplotlib.pyplot as plt
from wordcloud import WordCloud
#打开本体TXT文件
text = open('data.txt',encoding='utf-8').read()
print(type(text))
#结巴分词 cut_all=True 设置为精准模式
wordlist = jieba.cut(text, cut_all = False)
#使用空格连接 进行中文分词
wl_space_split = " ".joi... |
# -*- coding: utf-8 -*-
__author__ = 'Vit'
from bs4 import BeautifulSoup
from data_format.url import URL
from common.util import _iter, quotes, psp, collect_string
from interface.view_manager_interface import ViewManagerFromModelInterface
from model.site.parser import BaseSiteParser
class PlusoneSite(BaseSiteParse... |
import tensorflow as tf
import numpy as np
class KMeans:
def __init__(self, k, n_features, n_classes, sess=tf.Session()):
self.k = k
self.n_features = n_features
self.n_classes = n_classes
self.sess = sess
self.build_graph()
# end constructor
def build_graph(self)... |
from dataset import Dataset
from Model import ConvEncoder, Decoder, SimpleE
import torch
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import os
from radam import RAdam
import numpy as np
import scipy.misc
from scipy.misc import imsave
import torch.autograd as autograd
import time
... |
#끝나는 시간이 빠른 순으로 정렬
import sys
n = int(sys.stdin.readline())
s = []
for i in range(n):
first, second = map(int, input().split())
s.append([first, second])
#먼저, 시작 시간을 기준으로 정렬
s = sorted(s, key=lambda a: a[0])
#끝나는 사간을 기준으로 정렬
s = sorted(s, key=lambda a: a[1])
last = 0
cnt = 0
for start, finish in s:
if sta... |
from collections import defaultdict
from tqdm import tqdm
from advent import AdventProblem
def preprocess(lines):
return [int(x) for x in lines[0].split(',')]
def part_1(starting_nums, end=2020):
nums = defaultdict(list)
for i, s in enumerate(starting_nums):
nums[s].append(i)
last_num = st... |
option = input("Enter 1 to add name \nEnter 2 to remove a name from the list \nEnter 3 to view family members\nEnter 4 to exit")
listFamily = ["Ala"]
while option != "4" :
if option == "1" :
name = input("Enter a name to add : ")
listFamily.append(name)
option = input("Enter 1 to add name \n... |
# Import necessary libraries
import numpy as np
# Calculation of the root mean squared error
def rmse(y_true, y_pred):
return np.sqrt(((y_pred - y_true) ** 2).mean())
# Moving window approach for the nextday models
def moving_window_nextday(data, window_size):
# Empty list were we will store the result
... |
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