Vaibhav Kumar Chaudhary vaibhavkumar049

Copying data from Firebase Realtime Database to a Google Sheet in real time via Cloud Functions

If you're trying to do this, you came to the right place!

	" plugins
	let need_to_install_plugins = 0
	if empty(glob('~/.vim/autoload/plug.vim'))
	silent !curl -fLo ~/.vim/autoload/plug.vim --create-dirs
	\ https://raw.githubusercontent.com/junegunn/vim-plug/master/plug.vim
	let need_to_install_plugins = 1
	endif

	call plug#begin()
	Plug 'tpope/vim-sensible'

	import time
	from selenium import webdriver

	# Do not use this without their permission
	# change website url
	# chnage saving location in line 32
	# change email/password
	# change range in line 20 according to your book length
	# start my code
	from selenium.common.exceptions import NoSuchElementException

	#!/usr/bin/env python

	import os
	import requests
	import uuid
	from random import randint
	from uuid import uuid4

	def read_in_chunks(file_object, chunk_size=65536):
	while True:

	class FirstNetwork_v3(nn.Module):

	def __init__(self):
	super().__init__()
	torch.manual_seed(0)
	self.net = nn.Sequential(
	nn.Linear(2, 1024*4),
	nn.Sigmoid(),
	nn.Linear(1024*4, 4),
	nn.Softmax()

	device = torch.device("cuda")

	X_train=X_train.to(device)
	Y_train=Y_train.to(device)
	fn = FirstNetwork_v2()
	fn.to(device)
	tic = time.time()
	print('Final loss', fit_v2(X_train, Y_train, fn, opt, loss_fn))
	toc = time.time()
	print('Time taken', toc - tic)

	fn = FirstNetwork_v2()
	loss_fn = F.cross_entropy
	opt = optim.SGD(fn.parameters(), lr=1)
	fit_v2(X_train, Y_train, fn, opt, loss_fn)

	def fit_v2(x, y, model, opt, loss_fn, epochs = 1000):

	for epoch in range(epochs):
	loss = loss_fn(model(x), y)

	loss.backward()
	opt.step()
	opt.zero_grad()

	return loss.item()

	class FirstNetwork_v2(nn.Module):

	def __init__(self):
	super().__init__()
	torch.manual_seed(0)
	self.net = nn.Sequential(
	nn.Linear(2, 2),
	nn.Sigmoid(),
	nn.Linear(2, 4),
	nn.Softmax()

	fn = FirstNetwork_v2()
	fit_v1()