text stringlengths 8 6.05M |
|---|
import requests
import csv
from sensetw.core import Mapping
def get_mappings(csv_url, agent=None):
if agent is None:
agent = requests
response = agent.get(csv_url)
contents = response.text.split("\n")
reader = csv.DictReader(contents)
return [Mapping(hypothesis_url=row["hypothesis_url"],
... |
from Graph import *
from GraphWorld import *
vs = [Vertex(c) for c in "abcdefgh"]
g = Graph(vs)
g.add_regular_edges(6)
layout = CircleLayout(g)
# draw the graph
gw = GraphWorld()
gw.show_graph(g, layout)
gw.mainloop()
|
#sierpinski_triangle.py
"""
-------------------------------------------------------------------------------------------
Generates a visualization of the Sierpinski triangle by printing spheres in space in Maya
-------------------------------------------------------------------------------------------
One function... |
import os
from subprocess import call
ex = './chemposer'
filename = './static/xyz/tmp/C20.xyz'
call([ex, filename])
|
import os
import z
import fnmatch
import csv
from collections import defaultdict
from sortedcontainers import SortedSet
import buy
import os
from scipy import stats
import numpy as np
#
#x = np.random.random(10)
#y = np.random.random(10)
#slope, intercept, r_value, p_value, std_err = stats.linregress(x, y)
#print("r_va... |
### 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 License, or (at your option) any later
### version.
### This program is distributed in the hope that it will be use... |
__author__ = 'apple'
from osgeo import ogr
import os
# Get the input Layer
inShapefile = "ne1/ne1.shp"
inDriver = ogr.GetDriverByName("ESRI Shapefile")
inDataSource = inDriver.Open(inShapefile, 0)
inLayer = inDataSource.GetLayer()
# Create the output Layer
outShapefile = "ne1/ne1_centroids.shp"
outDriver = ogr.GetD... |
#! env python
from boto import ec2
conn = ec2.connect_to_region('us-east-1')
vols = conn.get_all_volumes(filters={'status': 'available'})
for vol in vols:
#print 'checking vol:', vol.id, 'status:', vol.status, 'attachment_id:', vol.attach_data.status
conn.delete_volume(vol.id) |
#Leo Li
#01/11/19
#Dart simulation
#1. The most you can walk is 22 steps. Once you go to twenty, it is highly likely to get a 51% or 52%
#2. Monte Carlo simulations are basically simulations that help people to predict something that involves a lot of randomness in it. It is hard to come up with a probablity when rando... |
# Python Coroutines and Tasks.
# Coroutines declared with async/await syntax is the preferred way of writing asyncio applications.
#
# To actually run a coroutine, asyncio provides three main mechanisms:
#
# > The asyncio.run() function to run the top-level entry point “main()” function.
# > Awaiting on a corout... |
# Generated by Django 2.1.7 on 2019-02-12 14:27
from django.db import migrations
class Migration(migrations.Migration):
dependencies = [
('tusome', '0001_initial'),
]
operations = [
migrations.AlterModelOptions(
name='author',
options={'ordering': ['name']},
... |
# -*- coding: utf-8 -*-
from nose.tools import *
from mock import patch
from picrawler.rt_cores import RTCoreRequest
class TestRTCoreRequest(object):
@patch('picrawler.rt_cores.cloud')
def test_request(self, mock_cloud):
req = RTCoreRequest('c1', 10, 1)
mock_cloud.realtime.request.return_va... |
# incomplete solution
n = int(input())
a = [None]*n
for x in range(n):
a[x] = input()
q = int(input())
while q:
q -= 1
r, p = input().split()
r = int(r)
maxmlength = 0
currstring = ""
tempstring = "zzzzzzzzzzz"
for x in range(r):
if(a[x]<tempstring):
tempstring ... |
import os
from subprocess import Popen, PIPE
from glob import glob
import sys
import decimal
import ConfigParser
def read_meta():
"""
Opens up any metadata*.txt files in the local directory or specified directory if there is one.
It will search the files for the EPSG code defining the projection as well as the cur... |
import torch
import numpy as np
import pickle
sizes = [[1024, 8, 10], [512, 16, 20], [256, 32, 40], [128, 64, 80]]
# sizes = [[8, 10], [16, 20], [32, 40], [64, 80], [128, 160]]
for id in range(len(sizes)):
tmp = np.zeros(sizes[id], dtype=np.int32)
for layer in range(sizes[id][0]):
id_counter = 0
... |
import io
import os
import platform
import subprocess
import zipfile
import pandas as pd
import requests
from powersimdata.network.usa_tamu.constants.zones import abv2state
def download_demand_data(
es=None, ta=None, fpath="", sz_path="C:/Program Files/7-Zip/7z.exe"
):
"""Downloads the NREL EFS base demand d... |
import json
import io
import sys
import os
import time
import requests
from datetime import datetime
from bs4 import BeautifulSoup
from selenium import webdriver
from selenium.webdriver.chrome.options import Options
def startup_check(file_path):
if os.path.isfile(file_path) and os.access(file_path, os.W_OK) and os... |
import sys
import os
import numpy as np
from PyQt5.QtCore import QTimer
from random import randint
from PyQt5 import QtCore, QtGui, QtWidgets
from xml.dom.minidom import *
from pathlib import Path
import queue
import copy
# block size
X_SIZE = 20
Y_SIZE = 20
# player size
X_PSIZE = 14
Y_PSIZE = 16
# bot size
X_BSIZE ... |
import os
from celery import Celery
from celery.schedules import crontab
from django.apps import AppConfig
from django.conf import settings
os.environ.setdefault('DJANGO_SETTINGS_MODULE', 'callisto.settings.dev')
app = Celery('callisto')
class CeleryConfig(AppConfig):
name = 'taskapp'
verbose_name = 'Cele... |
import numpy as np
import time
np.random.seed(1234)
# This class distinguish the cats and elders who were mixed in the
# previous representation, and add the ambulance issue. It also represents the reward return as
# a vector instead of a scalar because the situation is treated as a multi-objectives problem.
class ... |
import torch as tc
import torch.nn as nn
import torch.nn.functional as F
import torch.optim as optim
import numpy
device='cuda'if tc.cuda.is_available() else 'cpu'
tc.manual_seed(777)
if device=='cuda':
tc.cuda.manual_seed_all(777)
X=tc.FloatTensor([[0,0],[0,1],[1,0],[1,1]]).to(device)
Y=tc.FloatTensor([[0],[1],[... |
import posixpath
import numpy as np
import pandas as pd
from wfdb.io import annotation
from wfdb.io import download
from wfdb.io.record import rdrecord
def sigavg(
record_name,
extension,
pn_dir=None,
return_df=False,
start_range=-0.05,
stop_range=0.05,
ann_type="all",
start_time=0,
... |
import os
import sys
import time
import numpy as np
import autodisc as ad
from autodisc.representations.static.pytorchnnrepresentation.helper import DatasetHDF5
import torch
from torch.utils.data import DataLoader
from torch.autograd import Variable
from torchvision.utils import save_image
import configuration
''' ---... |
"""
This module contains code related to
Think Python, 2nd Edition
by Allen Downey
http://thinkpython2.com
This is to complete the exercises in Chapter 11: Dictionaries in Think Python 2
Note: Although this is saved in a .py file, code was run on an interpreter to get results
Note: Usi... |
from __future__ import absolute_import
import torch
import torch.nn as nn
import torch.nn.functional as F
from torch.autograd import Variable
from program_synthesis.algolisp.dataset import data
from program_synthesis.algolisp.models import prepare_spec
from program_synthesis.common.modules import decoders
from progr... |
# coding: utf-8
# Standard Python libraries
from pathlib import Path
from typing import Optional, Union
# http://www.numpy.org/
import numpy as np
# https://github.com/usnistgov/DataModelDict
from DataModelDict import DataModelDict as DM
# https://github.com/usnistgov/atomman
import atomman as am
import atomman.uni... |
from flask import Flask, render_template, request,make_response,jsonify
from werkzeug.utils import secure_filename
from flask_cors import CORS, cross_origin
app = Flask(__name__)
# CORS(app, support_credentials=True)
# cors=CORS(app,resources={
# r"/*":{
# "origins":"*"
# }
# })
# app.config['CORS_HEAD... |
import os
from flask import Blueprint, request, flash, Response, jsonify, send_from_directory, g
from werkzeug.utils import secure_filename
from resourse.models.course import Course
from resourse.models.take import Take
from resourse.models.student import Student
from resourse.models.pdfs import PDF
from resourse imp... |
def main():
import argparse
import re
import traceback
import requests
from dlinkscraper import DLink
parser = argparse.ArgumentParser(
'DuckDNS Updater',
description=
"""This script updates your DuckDNS IPv4 address to scraped address
from your D-Link router.... |
from rest_framework import serializers
from .models import Person
class PersonSerializer(serializers.ModelSerializer):
class Meta:
model = Person
fields = ('identifier', 'name', 'isic_code', 'phone_number', 'address', 'city', 'email', 'website', 'notes')
|
import re
text = input()
word = input()
pattern = rf"\b{word}\b"
# res = re.findall(pattern, text, re.IGNORECASE | re.MULTILINE)
res = re.findall(pattern, text, re.IGNORECASE)
print(len(res))
|
'''
Created on 2017年1月3日
@author: admin
'''
import socket
s = socket.socket()
host = socket.gethostname()
port = 1234
s.bind((host, port))
s.listen(5)
while True:
c, addr = s.accept()
print('Got connection from ', addr)
c.send(bytes('Thank you for connecting'))
c.close() |
#!/usr/bin/env python3
# Advent of code Year 2019 Day 9 solution
# Author = seven
# Date = December 2019
import enum
import sys
from os import path
sys.path.insert(0, path.dirname(path.dirname(path.abspath(__file__))))
from shared import vm
with open((__file__.rstrip("code.py") + "input.txt"), 'r') as input_file:
... |
"""
Copyright 1999 Illinois Institute of Technology
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 limitation the rights to use, copy, modify, merge, publis... |
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
train = pd.read_csv("cheatkey.csv")
end_prices = train['종가']
print(type(end_prices))
#normalize window
seq_len = 50
sequence_length = seq_len + 1
result = []
for index in range(len(end_prices) - sequence_length + 1):
idk = []
idk[:] = ... |
def find_all(a_str, sub):
start = 0
while True:
start = a_str.find(sub, start)
if start == -1:
return
yield start
start += 1
def find_all_indexes_substring(a_str, arr):
substring_indexes = []
for elem in arr:
current_indexes_substring = list(find_all... |
#!/usr/bin/python3
# @Author: Safer
# @Date: 2016-12-04 17:53:59
# @Last Modified by: Safer
# @Last Modified time: 2016-12-04 23:31:25
import sys
from PyQt5.QtCore import *
from PyQt5.QtGui import *
from PyQt5.QtWidgets import *
# * * * * * php /home/www/laravel/artisan schedule:run >> /dev/null 2>&1
class StockDi... |
[devicefiles]
{{target}}/vendor-boot-ramdisk: vendor-boot-ramdisk
[mapping]
{{target}}/vendor-boot-ramdisk: vendor-boot-ramdisk
|
# -*- coding: utf-8 -*-
"""
Created on Fri Oct 18 19:26:19 2019
@author: Prajwal
"""
#Euler 17
numbers=[i for i in range(1, 1001)]
ones={1:'one', 2:'two', 3:'three', 4:'four', 5:'five', 6:'six', 7:'seven', 8:'eight', 9:'nine'}
tens={1:'ten', 2:'twenty', 3:'thirty', 4:'forty', 5:'fifty', 6:'sixty', 7:'seventy', 8:'eig... |
import django_filters
from .models import GTINInformation
class GTINFilter(django_filters.FilterSet):
class Meta:
model = GTINInformation
fields = ['gtin_number', 'model_name']
|
def add(a, b):
return a+b
def subtract(a, b):
return a-b
def hello_world():
return "Hello World"
|
import sys
from time import sleep
import urllib2
a = 0
b = 1
c = 0
baseURL = "https://api.thingspeak.com/update?api_key=3NR0GTMVEM2R36XX&field1="
while(a < 1000):
adc = open("/sys/bus/iio/devices/iio:device0/in_voltage0_raw", "r")
value = (adc.read(5)).strip()
print value
f = urllib2.ur... |
from flask import Flask, request, render_template_string
# A template string
# In a real app, render from a file in the templates directory
TEMPLATE = """
<h1>Hello world!</h1>
<p>Your IP is {{ip_address}}</p>
<img src='static/earth.gif'>
"""
# Instatiate an app object
app = Flask(__name__)
@app.route('/')
def hello... |
import ConfigParser
import duo_web as duo
from contextlib import closing
from flask import Flask, request, session, redirect, url_for, render_template, flash
# config
DEBUG = True
# create flask application
app = Flask(__name__)
app.config.from_object(__name__)
# config parser
def grab_keys(filename='duo.conf'):
... |
def printSCS (x , y) :
global X , Y ,dp
for i in range (x + 1) :
for j in range (y + 1) :
if (i == 0) or ( j == 0 ) :
dp[i][j] = 0
else :
if (X[i-1] == Y[j-1]) :
dp[i][j] = 1 + dp[i-1][j-1]
else :
a = dp[i-1][j]
b = dp[i][j-1]
if (a > b) :
dp[i][j] = a
else :
d... |
import pyautogui as pag
import time
import csv
scw, sch = pag.size()
print("Screen size (" + str(scw) + "," + str(sch) + ")")
cx, cy = pag.position()
print("Cursor position (" + str(cx) + "," + str(cy) + ")")
with open("Files/subjects.csv") as sfile:
cread = csv.reader(sfile, delimiter = ",")
row... |
#!/usr/bin/env python3
import requests
import re
import time
import smtplib
import sys
import os
import json
from datetime import datetime
from notify_run import Notify
import platform
if platform.system() == 'Windows':
CLEAR_STR = "cls"
else:
CLEAR_STR = "clear"
class Product:
def __init__(self, name, l... |
from django.conf.urls.defaults import *
import os
# Uncomment the next two lines to enable the admin:
from django.contrib import admin
admin.autodiscover()
site_media = os.path.join(os.path.dirname(__file__), 'site_media')
urlpatterns = patterns('',
# Example:
# (r'^randompeople/', include('randompeople.foo.urls')... |
import django
import os
import sys
path = '/home/teamwork/teamwork'
if path not in sys.path:
sys.path.append(path)
os.environ['DJANGO_SETTINGS_MODULE'] = 'teamwork.settings'
django.setup()
from django.utils import timezone
from announcement.models import Announcement, image_path
from teamwork import settings
def ... |
import pickle
import fnmatch
import os
def process_data(d):
f1 = open(d,"br")
mylist1 = pickle.load(f1)
f1.close()
return mylist1
|
list1=[]
list2=[]
num1=int(input("Enter number of elements for first list:"))
for i in range(1,num1+1):
b=int(input("Enter element:"))
list1.append(b)
num2=int(input("Enter number of elements for second list:"))
for i in range(1,num2+1):
d=int(input("Enter element:"))
list2.append(d)
list3... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
import mysql.connector
class Price():
def __init__(self,id,priceList):
self.idCard=id
self.priceList=priceList
def update(self,site,price):
self.verif()
try:
conn = mysql.connector.connect(host="localhost",user="root",password="magicpswd", database="magic")... |
import sys
import rospy
import rosbag
from matplotlib import pyplot as plt
if __name__ == '__main__':
# Usage: python bag_graph_z.py inputfile.bag outputfile.png
# Topic to find the z data
odomTopic = '/A01/odometry'
# Vertical limit to calculate time below
zlim = 4.0
inputfile = sys.argv[1]
... |
# Copyright 2022 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
"""Autoformatter to automatically add trailing commas to calls and literals.
See https://github.com/asottile/add-trailing-comma for details.
"""
from pants.backend.python.lint.add_traili... |
cards = [
{
"spanish": "rojo",
"english": "red"
},
{
"spanish": "verde",
"english": "green"
},
{
"spanish": "azul",
"english": "blue"
},
{
"spanish": "blanco",
"english": "white"
},
{
"spanish": "negro",
... |
import turtle
paper = turtle.Screen()
pen = turtle.Turtle()
for i in range(0,500):
pen.forward(75)
pen.right(95) |
"""aospy DataLoader objects"""
import logging
import os
import pprint
import numpy as np
import xarray as xr
from .internal_names import (
ETA_STR,
GRID_ATTRS,
TIME_STR,
)
from .utils import times, io
def _preprocess_and_rename_grid_attrs(func, grid_attrs=None, **kwargs):
"""Call a custom preprocess... |
# Copyright 2021 Pants project contributors (see CONTRIBUTORS.md).
# Licensed under the Apache License, Version 2.0 (see LICENSE).
from __future__ import annotations
import dataclasses
from textwrap import dedent
from typing import Sequence
import pytest
from pants.backend.project_info import peek
from pants.backen... |
##
# Simple dictionairy class that automatically initializes lists if
# they are not present in the collection yet.
##
class VectorList(dict):
def __missing__(self, key):
self[key] = []
return self[key]
|
import torch.nn.functional as F
class InputPadder:
"""Pads images such that dimensions are divisible by 8"""
# TODO: Ideally, this should be part of the eval transforms preset, instead
# of being part of the validation code. It's not obvious what a good
# solution would be, because we need to unpad t... |
# Copyright (C) 2021 FireEye, Inc. All Rights Reserved.
from speakeasy.struct import EmuStruct, Ptr
import ctypes as ct
NERR_Success = 0
NetSetupUnknownStatus = 0
NetSetupUnjoined = 1
NetSetupWorkgroupName = 2
NetSetupDomainName = 3
class WKSTA_INFO_100(EmuStruct):
def __init__(self, ptr_size):
super()... |
# -*- coding: utf-8 -*-
from socket import *
import json
import hashlib
import datetime
import time
import random
#These are listen request function#
def send_shoplist(s,data,address):
msg = {}
for key in shop_list:
if shop_list[key]["state"] == "open":
msg[key] = {"name":"","owner":""}
... |
import boto3
from botocore.exceptions import ClientError
import time
import sys
bucket_name = sys.argv[1]
prefix = sys.argv[2]
start = time.time()
print('Data prep started...')
# Based on model monitor example using CSE-CIC-IDS2018 dataset
# see also: https://github.com/aws-samples/reinvent2019-aim362-sagemaker-debu... |
import pytest
from pyasn1.type.namedtype import NamedType, NamedTypes, DefaultedNamedType, OptionalNamedType
from asn1PERser.codec.per.encoder import encode as per_encoder
from asn1PERser.classes.data.builtin.OctetStringType import OctetStringType
from asn1PERser.classes.types.constraint import ValueSize
def SCHEMA_n... |
def min_max(*args):
the_max = args[0] # 初始化最大值
the_min = args[0] # 初始化最小值
for i in args:
if i >the_max:
the_max = i
elif i<the_min:
the_min = i
return {"max": the_max, "min:": the_min}
print(min_max(1, 2, 4, 6))
|
from Base import *
from Object import *
'''
Esta funcao cria um objeto do tipo Ceu e o retorna
@PARAMETROS
id_tex_livre - primeiro id de textura nao utilizado - passado como lista de tamanho 1
vertices_list - lista de coordenadas de vertices
textures_coord_list - lista de coordenadas de textura
normals... |
# -*- coding: utf-8 -*-
# @Author: Fallen
# @Date: 2020-04-24 12:55:16
# @Last Modified by: Fallen
# @Last Modified time: 2020-04-24 12:55:16
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Date : 2020-04-16 14:50:41
# @Author : Fallen (xdd043@qq.com)
# @Link : https://github.com/fallencrasher/python-learni... |
import time
from pyspark.sql import SQLContext
from pyspark import SparkContext, SparkConf
conf = SparkConf().set('spark.memory.fraction', '1.0').set('spark.memory.storage', '0.0').set('spark.sql.exchange.reuse', False)
sc = SparkContext(conf=conf)
sqlContext = SQLContext(sc)
sqlContext.clearCache()
for SF in (100, 3... |
def intersection1(list1,list2):
"""That's shortest and most pratical way for get intersection of two lists."""
return list(set(list1)&set(list2))
def intersection2(list1,list2):
"""Duplicates elements that's duplicated in list2"""
return [x for x in list1 if x in list2]
def intersection3(list1,list2):
"""This is ... |
"""
MIT License
Copyright (c) 2018 Rafael Felix Alves
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 limitation the rights
to use, copy, modify, merge, pub... |
from otree.api import (
models,
widgets,
BaseConstants,
BaseSubsession,
BaseGroup,
BasePlayer,
Currency as c,
currency_range,
)
import numpy as np
import random
import json
author = 'Ferley Rincón & Cesar Mantilla'
doc = """
Informalidad Laboral: Movilidad y Observabilidad Laboral
"""
... |
"""
Tests of the neo.core.segment.Segment class
"""
from copy import deepcopy
from datetime import datetime
import unittest
import numpy as np
import quantities as pq
try:
from IPython.lib.pretty import pretty
except ImportError as err:
HAVE_IPYTHON = False
else:
HAVE_IPYTHON = True
from neo.core.segm... |
# -*- coding: utf-8 -*-
from architect.manager.client import BaseClient
import homeassistant.remote as remote
from homeassistant.exceptions import HomeAssistantError
from celery.utils.log import get_logger
logger = get_logger(__name__)
DEFAULT_RESOURCES = [
'ha_entity',
]
class HomeAssistantClient(BaseClient):
... |
import os
from app import db
def init_admin(first_name, last_name, email, password):
user = User(username=email, password=password)
profile = Profile(first_name=first_name, last_name=last_name, user=user, is_admin=True, email=email)
db.session.add(user)
db.session.add(profile)
db.session.commit()
def delete_an... |
"""task URL Configuration
The `urlpatterns` list routes URLs to views. For more information please see:
https://docs.djangoproject.com/en/2.1/topics/http/urls/
Examples:
Function views
1. Add an import: from my_app import views
2. Add a URL to urlpatterns: path('', views.home, name='home')
Class-based vi... |
# -*- encoding:utf-8 -*-
# __author__=='Gan'
# We are stacking blocks to form a pyramid. Each block has a color which is a one letter string, like `'Z'`.
# For every block of color `C` we place not in the bottom row,
# we are placing it on top of a left block of color `A` and right block of color `B`.
# We are allowed... |
import jsonpath
from script.base_api.service_profile.students import students_queryById_get
from script.default_header import jyy_header
def assert_phone_search(student_ids: list, phone):
if student_ids:
results = []
for student_id in student_ids:
params = {"studentId": student_id}
... |
import torch.nn as nn
import numpy as np
class CNNDriver(nn.Module):
def __init__(self):
super(CNNDriver, self).__init__()
self.conv_layers = nn.Sequential(
nn.Conv2d(3, 24, kernel_size=5, padding=0, stride=2),
nn.BatchNorm2d(24),
nn.ReLU(),
nn.Conv2... |
# https://www.c-sharpcorner.com/article/firebase-crud-operations-using-python/
# https://console.firebase.google.com/u/0/project/led-blink-wifi/database/led-blink-wifi-default-rtdb/data
# ==============================================
from vicksbase import firebase as vix
firebase_obj = vix.FirebaseApplication('htt... |
import socketserver
import socket
import xml.etree.ElementTree as ElementTree
import binascii
import configparser
import threading
import datetime
import logging
import time
import queue
#Set up the config parser
config = configparser.ConfigParser()
#Read the config file in.
config.read('pi-fighter-s... |
from random_stump import RandomStumpInfoGain
from decision_tree import DecisionTree
import numpy as np
class RandomTree(DecisionTree):
def __init__(self, max_depth):
DecisionTree.__init__(self, max_depth=max_depth, stump_class=RandomStumpInfoGain)
def fit(self, X, y):
N = X.... |
T = int(input())
for _ in range(T):
n = int(input())
a = list(map(int, input().split()))
mid = 0
low = 0
high = n-1
while mid <= high:
if a[mid] == 0:
a[mid],a[low] = a[low],a[mid]
low += 1
mid += 1
elif a[mid] == 1:
mid += 1
... |
from flask import Flask, render_template
from flask_sqlalchemy import SQLAlchemy
import os.path
import pymysql
app = Flask(__name__)
db = SQLAlchemy(app)
app.debug = True
app.config['SQLALCHEMY_DATABASE_URI'] = 'mysql+pymysql://root:zhxfei..192@localhost/admin'
app.config['SQLALCHEMY_TRACK_MODIFICATIONS'] = True
app.c... |
import re
from typing import Optional
class LockReplacer:
def __init__(self, text: str):
self.text: str = text
self.part: Optional[str] = None
self.sha: Optional[str] = None
self.time: Optional[str] = None
def find_package(self, package: str) -> bool:
package = packag... |
from django.db import models
# Create your models here.
class Persona(models.Model):
# TODO: Define fields here
nombre = models.CharField(blank=True, max_length=100)
apellidos = models.CharField(blank=True, max_length=150)
edad = models.IntegerField(blank=True, null=True)
telefono = models.CharFie... |
import time
import requests
from flask import Flask, render_template, Response, request
from modules.CnnModel import CnnModel
from modules.Video import Video
# %% Parameters
camera = 0
resize = False
model_name = "model"
size = (100, 100, 3)
app = Flask(__name__)
# %% Création du modèle
model = CnnModel(model_name... |
# Generated by Django 2.0.4 on 2018-05-12 20:04
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('music', '0003_auto_20180512_2304'),
]
operations = [
migrations.AlterField(
model_name='music',
name='title',
... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# <nbformat>3.0</nbformat>
print('train stacked autoencoder stage 1')
import os
import sys
import csv
import numpy as np
import numpy as np
import pickle
from PIL import Image
import tensorflow as tf
import tensorflow_ae_base
from tensorflow_ae_base import *
import tens... |
import json
import boto3
oregon = 'us-west-2'
frankfurt = 'eu-central-1'
singapore = 'ap-southeast-1'
tokyo = 'ap-northeast-1'
virginia = 'us-east-1'
client = boto3.client('ec2', region_name=virginia)
response = client.describe_vpcs()
print(json.dumps(response, indent=4, sort_keys=True))
response = client.describe... |
#!/usr/bin/env python
# -*- coding: utf-8 -*-
"""
This script runs consistently some subprocess call
"""
import subprocess
import time
class BaseArgs(object):
""" Abstract class which split named params """
def __init__(self, *args, **kwargs):
self.args = args
self.kwargs = kwargs
if... |
from django.contrib import admin
from .models import Size, PizzaType, PizzaTopping, Pizza, SubExtra, Sub, Pasta, Salad, Platter, Order
admin.site.register(Size)
admin.site.register(PizzaType)
admin.site.register(PizzaTopping)
admin.site.register(Pizza)
admin.site.register(SubExtra)
admin.site.register(Sub)
admin.site... |
# -*- coding: utf-8 -*-
# Generated by Django 1.11 on 2018-02-11 18:46
from __future__ import unicode_literals
import datetime
from django.db import migrations, models
class Migration(migrations.Migration):
dependencies = [
('qa', '0007_question_date'),
]
operations = [
migrations.AddFi... |
x=37
y=73
x,y=y,x
print(x)
print(y)
|
# Endi formating string xaqida bu deagni bitta string turidagi o'zgaruvchiga boshqa bitta string turidagi o'rzaruvchini
# cancatunation ya'ni qo'shib biriktirib chiqarish degani
First_name="Khamzayev"
Last_name="Jamshid"
masseg=f"{First_name} {Last_name} is a coder!" # bu yerdagi " f " xarfi shu formating deganini bil... |
# Number geussing Game.
# User can choose a number and let computer try to geuss
# Or computer can choose a number and user has to geuss
# only bug to fix is if user inputs char for num
import random
def computer_geuss_number(x): # User has secret number. Computer tries to geuss
lower = 1
upper = x
while(True):
... |
import os
import re
from pathlib import Path
from subprocess import run, PIPE, STDOUT
from io import BytesIO
from tempfile import TemporaryDirectory, NamedTemporaryFile
from PIL import Image
PAGE = re.compile(r'page-?(?P<index>\d+).ppm')
def _extract_page(file_name: str) -> int:
match = PAGE.match(file_name)
... |
#!/usr/bin/python3
def square_matrix_simple(matrix=[]):
new_mtx = [i[:] for i in matrix]
index = 0
for row in new_mtx:
for col in row:
row[index] = col * col
index += 1
index = 0
return new_mtx
|
#!/usr/bin/env python
# -*- coding: utf-8 -*-
# @Time : 2018/8/24 14:51
# @Author : liuyb
# @Site :
# @File : run_this.py
# @Software: PyCharm
# @Description: A3C运行 Pendulum-v0游戏
import os
import numpy as np
import gym
import tensorflow as tf
import multiprocessing
import threading
import shutil
import matp... |
from CPUData import *
from CSVinfo import *
from GPUData import *
from MemoryData import *
from MotherboardData import *
from StorageData import *
import csv
# Ratio : CPU, GPU, RAM, Storage, Motherboard
USE_CSE_RATIO = {
'home' : [0.3,0.1,0.2,0.3,0.1],
... |
from dps.config import SystemConfig
from dps.vision import LeNet
from dps.run import _run
import tensorflow as tf
import numpy as np
class Config(SystemConfig):
curriculum = [
dict(T=6, shape=(2, 2), min_digits=2, max_digits=3),
dict(T=12, shape=(3, 3), min_digits=2, max_digits=3),
dict(T=... |
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