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import csv
import argparse
from os.path import join
if __name__ == '__main__':
parser = argparse.ArgumentParser()
parser.add_argument('--data-dir', default='data_dir/testing')
args = parser.parse_args()
prediction_files = [
'7-bert-large-cased.csv',
'11-roberta-base.csv',
'12-roberta-large.csv',
'13-albe... |
import os
import numpy as np
def ListFilesToTxt (dir, file, wildcard, recursion):
exts = wildcard.split (" ")
files = os.listdir (dir)
for name in files:
fullname = os.path.join (dir, name)
if (os.path.isdir (fullname) & recursion):
ListFilesToTxt (fullname, file, wildcard, recursion)
else:
for ext in... |
'''
def copie(tab):
copie_tab = tab
return copie_tab
print(copie([1, 2, 3]))'''
def copie(tab):
copie_tab=[0]*len(tab)
for i in range(len(tab)):
copie_tab[i]=tab[i] |
import time
from datetime import datetime as dt
import os
path = os.path.realpath(__file__)[:-7]
file = open('{}setup.txt'.format(path), 'r')
file_ar = file.readlines()
length = int(file_ar[0])
time1 = int(file_ar[1])
time2 = int(file_ar[2])
print(length)
print(time1)
print(time2)
website_list = []
for i in range... |
input_numero = int(input("¿Que numero quieres introducir en la tabla? "))
numeros = []
for numero in range(1, 11):
numeros.append(numero)
revnumeros = reversed(numeros)
for num in revnumeros:
print("{} x {} = {}".format(input_numero, num, input_numero * num)) |
from django.urls import path
from order.views import *
app_name ='order'
urlpatterns =[
path('generate', generate_order,name='generate'),
path('commit', order_commit,name='commit'),
path('pay', order_pay,name='pay'),
path('check', check_order, name='check'),
path('comment', order_comment, name='c... |
import os
import sys
from deepdrive_zero.experiments import utils
from spinup.utils.run_utils import ExperimentGrid
from spinup import ppo_pytorch
import torch
experiment_name = os.path.basename(__file__)[:-3]
notes = """Try boost_explore 0.6 to get back to normal start entropy of 0.9"""
results = 'Entropy decreased ... |
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 13 17:48:47 2018
@author: Gebruiker
"""
import csv
import matplotlib.pyplot as plt
import numpy as np
from copy import deepcopy
truearea = 1.50659
def makePlots(alist, rangelist, area,typeof):
islist = []
arealist = []
ilist = [3000,3500,4000,4500,5000... |
from django.conf.urls import patterns, include, url
from rest_framework_mongoengine import routers
from amspApp.Bpms.views import LunchedProcessView
router = routers.SimpleRouter()
router.register(r'LunchedProcess', LunchedProcessView.LunchedProcessViewSet,base_name='LunchedProcess')
urlpatterns = patterns(
'',
... |
from django.contrib.auth import authenticate,login,logout
from django.core.urlresolvers import reverse
from django.contrib.auth.decorators import login_required
from django.http import HttpResponseRedirect, HttpResponse
from django.shortcuts import render
from store.forms import UserForm,CustomerForm
from store.models ... |
CMD1 = """
SELECT S_CON_WINDCODE, I_WEIGHT
FROM AIndexHS300Weight
WHERE TRADE_DT = '{date}'
"""
CMD2 = """
SELECT S_CON_WINDCODE, WEIGHT
FROM AIndexCSI500Weight
WHERE TRADE_DT = '{date}'
"""
|
import matplotlib
matplotlib.use('Agg')
from matplotlib import rc
from brian import *
rc('font',**{'family':'sans-serif','sans-serif':['Helvetica']})
rc('text', usetex=True) # use latex
'''
Plot CV vs freq est error and histogram
'''
filename = 'lotsofdata.npz'
archive = np.load(filename)
CV = archive['CV']
freq_est ... |
# -*- coding: utf-8 -*-
import LINETCR
from LINETCR.lib.curve.ttypes import *
from datetime import datetime
from gtts import gTTS
from bs4 import BeautifulSoup
import time,random,sys,re,goslate,requests,urllib,os,json,subprocess,codecs,threading,glob,wikipedia
cl = LINETCR.LINE()
#cl.login(qr=True)
cl.login(token="Ep... |
from PIL import Image, ImageDraw, ImageFont
import cv2
import numpy as np
def change_cv2_draw(image,strs,local,sizes,colour):
cv2img = cv2.cvtColor(image, cv2.COLOR_BGR2RGB)
pilimg = Image.fromarray(cv2img)
draw = ImageDraw.Draw(pilimg) # 图片上打印
font = ImageFont.truetype("SIMYOU.TTF",sizes, encoding="... |
from ECG.ecg import read_ecg,find_peaks
import numpy as np
import time
import os
import numpy as np
import plotly.offline as pyo
import plotly.graph_objects as go
import dash
import dash_core_components as dcc
import dash_html_components as html
from dash.dependencies import Input, Output
from collections import dequ... |
from django.contrib import admin
from api.models import Estate, EstateImage, Tracking
import cloudinary.uploader
"""
Custom view of admin page
"""
# ------------------------------------------
class EstateFilter(admin.SimpleListFilter):
"""
Reference: https://medium.com/elements/getting-the-most-out-of-... |
import re
import os
import sys
sys.path.append(os.path.join(os.path.dirname(__file__),"..", "basics"))
# from timecourse_an_config import * <--- included in calc_lbl_timecourse
from calc_time_indices import *
from prepare_ttest_results import *
from get_lbl_indices import*
from scipy import stats
from scipy import... |
from auth.models import RidUser
def get_dept_names(request):
context = {}
context['dept_names'] = RidUser.department_labels
context['batch_names'] = RidUser.batch_labels
return context
|
import numpy as np
import cv2
def stochastic_universal_sampling(weight_vec):
sample_set = []
cdf = []
n = len(weight_vec)
cdf.append(weight_vec[0][2])
for i in range(1, n):
cdf.append(cdf[i - 1] + weight_vec[i][2])
u = 1.0/n
i = 0
for j in range(0, n):
whi... |
import unittest
from accounts.models import Alert
from accounts.tests.factories import SuperUserFactory
from django.core import mail
class AlertTestCase(unittest.TestCase):
def setUp(self):
self.alert = Alert(1, 'code', 'template')
self.alert.save()
def testAlertAdded(self):
x = Aler... |
# Copyright Clement Schreiner, 2019
# Transformer class based on:
# https://github.com/nshepperd/gpt-2/blob/e99ee3748b6a41e9532538bfc3af17f0b64a5caf/src/interactive_conditional_samples.py
# (MIT/Expat license)
import json
import numpy as np
import os
import random
import tensorflow as tf
import sopel.module, sopel.to... |
import torch
from flytracker import run
from flytracker.analysis import annotate
from time import time
movie_path = "data/experiments/bruno/videos/seq_1.mp4"
mask = torch.ones((1080, 1280), dtype=bool)
mask[:130, :] = 0
mask[-160:, :] = 0
mask[:, :270] = 0
mask[:, -205:] = 0
mask[:190, :350] = 0
mask[:195, -270:] =... |
import numpy as np
import matplotlib.pyplot as plt
import sklearn.svm as svm
from sklearn.svm import LinearSVR
from sklearn.model_selection import GridSearchCV
from sklearn.model_selection import train_test_split
from nltk.corpus import sentiwordnet as swn
import ast
from sklearn.ensemble import RandomForestClassifie... |
from sklearn.model_selection import train_test_split
from Utils import plot_utils as plt_ut, datasets
import numpy as np
import Adaline.GradientDescendentAdaline as gd
import time
import yaml
def main():
stream = open('configurations/runConfigurations.yml', 'r', encoding='utf-8').read()
configurations = yaml.... |
from model import Spinenet
from dataloader import DataLoader, get_Idx
from util import get_image
from params import Parameter
import matplotlib.pyplot as plt
import numpy as np
import tensorflow as tf
#create model
params = Parameter().get_args()
sp = Spinenet(params)
#training
if params.train:
dl = DataLoade... |
import time
import weakref
from serf.publisher import Publisher
# Chat service models for Person, Room and RoomList.
class Person(object):
def __init__(self, client_addr):
self.client_addr = client_addr
self.name = None
self.rooms = {}
def say(self, room_name, msg):
room = sel... |
#!/usr/bin/python3
# coding: utf-8
# Copyright (c) 2019-2020 Latona. All rights reserved.
import os
from pathlib import Path
from aion.mysql import BaseMysqlAccess
from aion.logger import lprint, lprint_exception
class RobotBackupDB(BaseMysqlAccess):
def __init__(self):
super().__init__("Maintenance")
... |
# 5. Создать (программно) текстовый файл, записать в него программно набор чисел, разделенных пробелами.
# Программа должна подсчитывать сумму чисел в файле и выводить ее на экран.
my_file = open("task_05_file.txt", "r", encoding='utf-8')
numbersLine = my_file.readline()
numbers = numbersLine.split(" ")
numbersAmount... |
"""
A program to determine convergence points of bunny-fox populations.
Author: Joe Noel (noelj)
"""
def next_pop(bpop, fpop):
bpop_next = max(0,int((10*bpop)/(1+0.1*bpop) - 0.05*bpop*fpop))
fpop_next = max(0,int(0.4 * fpop + 0.02 * fpop * bpop))
return (bpop_next, fpop_next)
def check_converg... |
def isPrime(n):
if n == 2:
return True
elif n == 3:
return True
if n % 2 == 0:
return False
elif n % 3 == 0:
return False
i = 5
w = 2
while i * i <= n:
if n % i == 0:
return False
i += w
w = 6 - w
return True
n = 2
s... |
import subprocess
import hashlib
import requests
import pickle
import struct
p32 = lambda(x): struct.pack('<I', x)
u32 = lambda(x): struct.unpack('<I', x)[0]
p64 = lambda(x): struct.pack('<Q', x)
u64 = lambda(x): struct.unpack('<Q', x)[0]
url_base = 'http://0/'
url_base = 'https://school.fluxfingers.net:1531/'
def d... |
#coding=UTF-8
from haystack import indexes
from home.models import *
#注意格式
class HomeIndex(indexes.SearchIndex,indexes.Indexable):
text = indexes.CharField(document=True, use_template=True)
#给title,content设置索引
source_name = indexes.NgramField(model_attr='source_name')
source_name = indexes.NgramField(... |
from abc import ABC
from abc import abstractmethod
from typing import Dict
from model.logger import Logger
from threading import RLock
import collections
class Worker(ABC):
def __init__(self, attr: Dict, pipe: int):
self.pipe = pipe
self.lock = RLock()
self.attributes = attr
self.... |
#各種檔案寫讀範例 新進暫存
'''
import sys, ast
filename = 'C:/_git/vcs/_1.data/______test_files1/__RW/_csv/scores.csv'
scores = dict()
with open(filename,'r') as fp:
filedata = fp.read()
#scores = ast.literal_eval(filedata)
print("以下是{}成績檔的字典型態資料:".format(filename))
import sys
std_data = dict()
with open(filename, e... |
from ctypes import sizeof, addressof, c_ubyte, Structure, memmove
import pyads
import struct
from pyads.structs import SAdsNotificationHeader
# Modified version of Connection.notification
def notification(plc_datatype=None, pyqtSignal=None):
# type: (Optional[Type[Any]]) -> Callable
"""Decorate a callback func... |
#! /usr/bin/env python
###################################
# Davi Ortega 9/8/2014
###################################
import sys
import bitk
import random
import json
if '-h' in sys.argv:
print 'Reads a list of names of strain and outputs a list of mist organism id'
sys.exit()
genomes = []
with open(sys.argv[1]... |
from openerp.osv import osv,fields
class res_company(osv.Model):
_inherit = "res.company"
_columns = {
'purchase_note': fields.text('Default Purchase Terms and Conditions', translate=True, help="Default terms and conditions for purchases."),
}
class purchase_order(osv.Model):
_inherit = "purchase... |
from django.db import models
from django.contrib.auth.models import User
# for handling signal of user model
# this will extend the user model
from django.db.models.signals import post_save
from django.dispatch import receiver
# for quick aggregate to average
from django.db.models import Avg
# global variable that ... |
# %load q03_plot_innings_runs_histogram/build.py
import pandas as pd
import numpy as np
import matplotlib.pyplot as plt
ipl_df = pd.read_csv('data/ipl_dataset.csv', index_col=None)
def plot_innings_runs_histogram():
pivot = ipl_df.pivot_table(values=['runs'], index=['match_code'], columns='inning', aggfunc='count... |
from django.shortcuts import get_object_or_404
from rest_framework import generics, mixins
from rest_framework.response import Response
from rest_framework import status
from rest_framework.views import APIView
from .models import Profile, Like, Message
from .serializers import ProfileSerializer, LikeSerializer, Messag... |
# ----------------------------------------------------------------------
# Numenta Platform for Intelligent Computing (NuPIC)
# Copyright (C) 2016, Numenta, Inc. Unless you have an agreement
# with Numenta, Inc., for a separate license for this software code, the
# following terms and conditions apply:
#
# This progra... |
# Print the size of the dataset
import numpy as np
import datetime as dt
import matplotlib.pyplot as plt
import os, json, requests, pickle
from scipy.stats import skew
from shapely.geometry import MultiLineString, Polygon, Point, MultiPoint, MultiPolygon, LinearRing
from scipy.stats import ttest_ind, f_oneway, lognorm... |
# App stuff
from app.resources.auth import blueprint as auth_blueprint
from app.resources.health import blueprint as health_blueprint
|
## Helper functions for reading the configuration
import sys, os
import yaml
import results
checks = None
def read_default_config():
if len(sys.argv) < 2:
print "Specify the configuration file on the command-line."
exit()
return read_config(sys.argv[1])
def read_config(filename):
with o... |
# Importing header files
import numpy as np
import warnings
warnings.filterwarnings('ignore')
#New record
new_record=[[50, 9, 4, 1, 0, 0, 40, 0]]
#Reading file
data = np.genfromtxt(path, delimiter=",", skip_header=1)
census = np.concatenate((data,new_record))
print(data.shape,census.shape)
#Finding mean age
... |
try:
from ._version import version as __version__
except ImportError:
__version__ = "0.12.3"
from ._function import napari_experimental_provide_function
from ._dock_widget import napari_experimental_provide_dock_widget |
from fastapi import FastAPI, HTTPException
import db
app = FastAPI()
@app.get("/reservas/")
async def obtener_reservas():
reservas = db.obtener_reservas()
return reservas
@app.post("/reservas/crear/")
async def crear_reserva(reserva: db.Reserva):
creada_exitosamente = db.crear_reserva(reserva)
if c... |
"""
Quantum teleportation game demo
@author: Christian B. Mendl
"""
import numpy as np
import itertools
from enum import IntEnum
import pyglet
from pyglet.window import key
#==============================================================================
# Level geometry
class TileTypes(IntEnum):
"""Types of til... |
#!/usr/bin/env python3
from randomuser import RandomUser
import random
import time
import psycopg as pg
import uuid
from datetime import timedelta, datetime
NUM_USERS=100
NUM_FACILITIES=20
MAX_ACCESS_PER_USER=20
CONNECTION_DATA="dbname='ipm2122_db' host='localhost' port='5438' user='ipm2122_user' password='secret'" ... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
Decorator takes a function as a parameter and adds functionality to the second function without explicitly modifying it.
"""
def p_decorate(func):
"""
Simple decorator
:param func: The function that the decorator encapsulates
:return: the functions out... |
#!/usr/bin/env python
### Example purdy library code
#
# Displays a REPL session without any token processing using the "none" lexer,
# highlighting the first three lines in succession
from purdy.actions import Append, Wait, HighlightChain
from purdy.content import Code
from purdy.ui import SimpleScreen
screen = Sim... |
import pandas as pd
import numpy as np
from sklearn.cluster import KMeans
data = pd.read_csv('C:\\Users\\Preetham G\\Documents\\Research Projects\\Forecast of Rainfall Quantity and its variation using Envrionmental Features\\Data\\Normalized & Combined Data\\All Districts.csv')
dist = ['Ariyalur','Chennai','Coimb... |
def solve(n, w, val, weight):
dp = [[0 for i in xrange(w+1)] for j in xrange(n+1)]
for i in xrange(n+1):
for j in xrange(w+1):
if i == 0 or j == 0:
dp[i][j] = 0;
elif weight[i-1] > j:
dp[i][j] = dp[i-1][j]
else:
dp[i][j] = max(val[i-1]+dp[i-1][j-weight[i-1]], dp[i-1][j])
i = w
# for s in dp:
... |
from modules import *
driver = webdriver.Chrome(executable_path=executable_path)
driver.get("https://www.oyorooms.com/")
driver.maximize_window()
driver.find_element_by_xpath('//*[@id="root"]/div/div[3]/div[1]/div[3]/div/div/div/div[1]/div/div/div/div/div/span[2]').click()
time.sleep(3)
list_of_hotel = []
address_of... |
import matplotlib.pyplot as plt
import pandas as pd
from pylab import mpl
mpl.rcParams['axes.unicode_minus'] = False
data = pd.read_csv(".\data\PDOS.csv", header=None)
plt.figure()
x1 = input("请输入x起始值\n")
x2 = input("清输入x结束值\n")
plt.xlim(int(x1),int(x2))
for i in range(data.shape[1]):
if i % 2 == 0:
plt.p... |
from . import UMRLogging
from . import UMRConfig
from typing import List
import asyncio
__ALL__ = [
'BaseExtension',
'register_extension',
'post_init'
]
logger = UMRLogging.get_logger('Plugin')
class BaseExtension:
def __init__(self):
"""
Pre init logic, registering config validator,... |
import httpretty
import json
from mock import patch
from skills_ml.datasets.sba_city_county import county_lookup, URL
COUNTY_RESPONSE = json.dumps([
{
"county_name": "St. Clair",
"description": None,
"feat_class": "Populated Place",
"feature_id": "4609",
"fips_class": "C1",... |
import logging, os
from glob import glob
from random import choice
from emoji import emojize
from utils import get_user_emo, get_keyboard, is_cat
import settings
def talk_to_me(bot, update, user_data):
emo = get_user_emo(user_data)
user_text = "Привет {} {}! Ты написал: '{}'".format(update.message.chat.first... |
#!/usr/bin/python
#
# Find 4 sided polygons from a kinect
#
# Copyright (C) 2012 Mike Stitt
#
# 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 limitatio... |
# -*- coding: utf-8 -*-
import json
from datetime import date, datetime
from django.http import HttpResponseRedirect, HttpResponse
from django.template import RequestContext
from django.shortcuts import render_to_response
from django.db.models import F
from django.contrib.auth.decorators import login_required
# from a... |
import grouptestdocument
import logging
import mdiag
import pymongo
import re
from conversion_tools import jiraGroupToSFProjectId
# TODO move this elsewhere
def _stringToIntIfPossible(s):
# if (typeof s == "object" && "map" in s) {
# return s.map(_stringToIntIfPossible);
# } else {
if isinstance(... |
import cv2
import os
import numpy as np
import h5py
from keras.preprocessing.image import img_to_array
from keras.applications.vgg16 import VGG16
from keras.applications.vgg16 import preprocess_input
model = VGG16(weights='imagenet', include_top=False)
data_dir = "/tmp/Virat_Trimed/"
annotation_path = "/tmp/virat_a... |
"""
Tool Name: CalcADT
Source Name: calc_adt_eq.py
Author: Ethan Rucker
Required Arguments:
The path to the Geodatabase Workspace
Description:
Calculates average daily traffic for each speed hump request location.
Calculation is the maximum sum of recorded traffic ... |
import os
from cpath import at_output_dir
from data_generator.tokenizer_wo_tf import get_tokenizer
from data_generator2.segmented_enc.runner.run_nli_tfrecord_gen import mnli_asymmetric_encode_common
from data_generator2.segmented_enc.seg_encoder_common import SingleChunkIndicatingEncoder, ChunkIndicatingEncoder
from m... |
from .averages import my_mean
def my_cov(list_x, list_y):
assert len(list_x) == len(list_y)
N = len(list_x)
xbar = my_mean(list_x)
ybar = my_mean(list_y)
total = 0
for i in range(len(list_x)):
total += ((list_x[i] - xbar) * (list_y[i] - ybar))
return total / N
def my_var(list_x):
... |
import json
import gspread
from oauth2client.service_account import ServiceAccountCredentials
import backend.config as cf
class SheetGetter(object):
def __init__(self):
#APIを認証
scope = ['https://spreadsheets.google.com/feeds','https://www.googleapis.com/auth/drive']
credentials = ServiceAccountCredentia... |
import cv2
import time
import argparse
import statistics
import pandas as pd
import configparser
import re
import os
import Janus_v2_0
# Load in configuration
config = configparser.ConfigParser()
config.read('configurations.cfg')
parser = argparse.ArgumentParser()
parser.add_argument('--model', type=int, default=101)... |
"""
Roleplaying Character Generator
"""
from random import randint
from time import sleep
print("RPG Character Generator v1")
print("What class would you like to be?")
print("Press 1 for Elf")
print("Press 2 for Warrior")
print("Press 3 for Halfling")
print("Press 4 for Amazon")
choice = int(input("Who do you choose?... |
from confidant.routes import static_files # noqa
from confidant.routes import v1 # noqa
from confidant.routes import saml # noqa
|
import collections
from typing import Deque, Mapping, Optional, Sequence, Tuple
from pddlenv import env
from pddlenv.base import Action
def generate_plan(end_state: env.EnvState,
parents: Mapping[env.EnvState, Optional[Tuple[env.EnvState, Action]]]
) -> Sequence[Action]:
plan:... |
# 첫번째 학생은 0번을 받아 제일 앞에 줄을 선다
# 두번째 학생은 0번 또는 1번 둘 중 하나의 번호
# if 0번을 ㄷ뽑으면 그 자리에 그대로 있고 1번을 뽑으면 바로 앞의 학생 앞으로
# 세번째 학생은 0,1,2 중 하나의 번호를 뽑는다. 그리고 뽑은 번호만큼 앞자리로
# 마지막 학생까지....
# 각자 뽑은 번호는 자신이 처음에 선 순서보다는 작은 수
T = int(input())
order_nums = list(map(int,input().split()))
result = []
for i, order_num in enumerate(order_num... |
# Generated by Django 2.1 on 2019-07-26 23:56
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('siteApp', '0004_lifemodel'),
]
operations = [
migrations.AlterField(
model_name='lifemodel',
name='extra',
... |
#!/usr/bin/env python
# encoding: utf-8
from lang.classfile.ConstantMemberRefInfo import ConstantMethodRefInfo
from vm.runtime import MethodLookup
from vm.runtime.ConstantPool import ConstantPool
from vm.runtime.CpMemberRef import MemberRef
class MethodRef(MemberRef):
def __init__(self, constant_pool: ConstantPo... |
"""
문제:
- 배열의 크기 [ N ],
- 숫자가 더해지는 횟수[ M ]
- 그리고 K가 주어질 때 동빈이의 큰 수의 법칙에 따른 결과를 출력하시오.
- K는 [ 특정한 인덱스의 수가 연속해서 더해지는 횟수 ]
< 입력조건 >
- [ 첫째 줄 ]에 N(2<= n <= 1,000),
M(1<=M <= 10,000),
K(1<= K <= 10,000)의 자연수가 주어지며
[ 각 자연수는 ] [ 공백으로 구분 ]한다.
- [ 둘째 줄에 ] N개의 자연수... |
from os import environ
benchmark = environ['BENCHMARK']
NVBITFI_HOME = environ['NVBITFI_HOME']
THRESHOLD_JOBS = int(environ['FAULTS'])
all_apps = {
'simple-faster-rcnn-pytorch': [
NVBITFI_HOME + '/test-apps/simple-faster-rcnn-pytorch', # workload directory
'simple-faster-rcnn-pytorch... |
"""
Реализовать некий класс Matrix, у которого:
1. Есть собственный конструктор, который принимает в качестве аргумента - список списков,
копирует его (то есть при изменении списков, значения в экземпляре класса не должны меняться).
Элементы списков гарантированно числа, и не пустые.
2. Метод size без аргументов, кото... |
from django.conf import settings
from django.shortcuts import redirect
from django.core.mail import send_mail
from django.shortcuts import render
import sys
from .forms import ContactForm, SignUpForm
from .models import SignUp
from django.views.generic import DetailView
from django.views.generic import CreateView, Upd... |
"""
ЗАДАНИЕ
--------------------------------------------------------------------------------
пользователь вводит 3 строки:
- строка для проверки (check_str)
- искомая строка (search_str)
- заменяемая строка (replace_str)
если в строке для проверки содержится искомая строка - заменить ее на
заменяемую строк... |
from flask import Flask, render_template,redirect,url_for,request
from flask_bootstrap import Bootstrap
from flask_sqlalchemy import SQLAlchemy
from aplicacion import config
from aplicacion.forms import formCategoria,formArticulo
from werkzeug.utils import secure_filename
app = Flask(__name__)
app.config.from_object(c... |
#!/usr/bin/env python
# Copyright 2017 The Fuchsia Authors. All rights reserved.
# Use of this source code is governed by a BSD-style license that can be
# found in the LICENSE file.
import argparse
import os
import string
import subprocess
import sys
BUILD_PATH = os.path.dirname(os.path.dirname(os.path.abspath(__fil... |
# =========================================================================================
# Copyright 2016 Community Information Online Consortium (CIOC) and KCL Software Solutions Inc.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the Li... |
import matplotlib.pyplot as plt
plt.style.use('fivethirtyeight')
def schedulingProcess( process_data):
start_time = []
exit_time = []
s_time = 0
process_data.sort(key=lambda x: x[1])
'''
Sort processes according to the Arrival Time
'''
for i in range(len(process_data)):
read... |
#!/usr/bin/env python
import rospy
from mavros_msgs.srv import SetMode
from mavros_msgs.srv import CommandBool
from mavros_msgs.srv import CommandTOL
import time
rospy.loginfo("Setting up ros node")
rospy.init_node('mavros_takeoff_python')
rospy.loginfo("Setting up rate")
rate = rospy.Rate(10)
def start():
setMo... |
r"""
.. _ref_ex_composite:
Creating a Composite Section
----------------------------
Create a section of mixed materials.
The following example demonstrates how to create a composite cross-section by assigning
different material properties to various regions of the mesh. A steel 310UB40.4 is modelled
with a 50Dx600W... |
import uuid
from django.core.paginator import Paginator
from django.http import HttpResponse
from django.shortcuts import render
from uploadapp.models import User
import os.path
# Create your views here.
# index 视图函数
def index(request):
return render(request,'uploadapp/index.html')
# 提交 逻辑函数
def form_logic(requ... |
##Local Metrics implementation .
##https://www.kaggle.com/corochann/bengali-seresnext-training-with-pytorch
import numpy as np
import sklearn.metrics
import torch
def macro_recall(pred_y, y, n_grapheme=168, n_vowel=11, n_consonant=7):
pred_y = torch.split(pred_y, [n_grapheme, n_vowel, n_consonant], dim=1)
pre... |
#
# 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 or agreed to in writing, software
# ... |
import json
import pytest
from app import app
@pytest.fixture
def gateway_factory():
from chalice.config import Config
from chalice.local import LocalGateway
def create_gateway(config=None):
if config is None:
config = Config()
return LocalGateway(app, config)
return creat... |
from django import forms
from django.contrib.auth.models import User
from django.contrib.auth.forms import UserCreationForm
from .models import Profile
#This form created so that we can use it instead if usercreation form. Has the add-on
# of asking for eail when an account is created
class UserRegisterForm(UserCrea... |
from boto3.dynamodb.conditions import Key
from elasticpypi import name
from elasticpypi import s3
from elasticpypi.config import config
TABLE = config['table']
def list_packages(dynamodb):
table = dynamodb.Table(TABLE)
dynamodb_packages = table.scan(ProjectionExpression='package_name')
package_set = set(... |
/*
* @turlapatykaushik
* github url : github.com/turlapatykaushik
* problem description : This problem is 'Life, the universe and Everything' from HackerEarth
*/
while(1):
x = input()
if(x == 42):
break
else:
print x
|
# https://www.hackerrank.com/challenges/any-or-all/problem
# solution, Python 3
n, a = (input(), input().split(" "))# input list
print((any([j == j[::-1] for j in a]) and (all((int)(x) > 0 for x in (a))))) |
def chan_le(n):
mang = []
for i in range(n):
if i % 2 == 1:
mang.append(-1)
else:
mang.append(2 - i * 0.25)
return mang |
from skimage import color
from skimage.transform import rescale, resize, downscale_local_mean
from typing import Tuple
import numpy as np
import torch
class Converter(object):
@classmethod
def list2numpy(cls, mat, dtype='long'):
mat = np.asarray(mat)
if dtype == 'long':
mat = mat.a... |
# -*- coding: utf-8 -*-
import llbc
class pyllbcBitSet(object):
"""
pyllbc bitset class encapsulation.
"""
def __init__(self, init_bits=0):
self._bits = long(init_bits)
@property
def bits(self):
return self._bits
def set_bits(self, bits):
self._bits |= bits
d... |
from ConfigParser import SafeConfigParser
from argparse import ArgumentParser
from cmd import Cmd
from refugee.inspector import dump_sql
from refugee.manager import migration_manager
from refugee.migration import Direction
class RefugeeCmd(Cmd):
"""The command line interface for Refugee"""
intro = 'Welcome ... |
# -*- coding: utf-8 -
#
# This file is part of restkit released under the MIT license.
# See the NOTICE for more information.
import logging
import random
import select
import socket
import ssl
import time
import io
from socketpool import Connector
from socketpool.util import is_connected
CHUNK_SIZE = 16 * 1024
MAX_... |
#!python3
import pickle
import numpy
from scipy import misc
import matplotlib.pyplot as plt
from keras.utils import plot_model
from keras.models import load_model
import tensorflow as tf
import itertools
from skimage import util
from skimage import transform
from argparse import ArgumentParser
import sys
import os
imp... |
# Generated by Django 3.0.7 on 2020-08-26 21:22
from django.db import migrations, models
import django.db.models.deletion
import django_countries.fields
class Migration(migrations.Migration):
initial = True
dependencies = [
('profiles', '0001_initial'),
]
operations = [
migrations.... |
# Generated by Django 3.2.3 on 2021-05-13 20:28
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('caretaker', '0003_auto_20210514_0151'),
]
operations = [
migrations.AlterField(
model_name='caretaker',
name='age',
... |
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