Matheus Mota Matheus1714

## Template.html
<!DOCTYPE html>
<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" lang="en">

<head>
	<title></title>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0"><!--[if mso]><xml><o:OfficeDocumentSettings><o:PixelsPerInch>96</o:PixelsPerInch><o:AllowPNG/></o:OfficeDocumentSettings></xml><![endif]--><!--[if !mso]><!--><!--<![endif]-->
	<style>
		* {
			box-sizing: border-box;

## Code.gs
const SHEET_ID_WITH_NAME_AND_EMAIL = 'YOUR_ID_HERE'

/**
 * Função para obter nomes e emails de uma planilha específica.
 *
 * @param {string} sheetId
 * @return {Array<{ name: string, email: string }>}
 */
function getNameAndEmail(sheetId) {
  const spreadsheet = SpreadsheetApp.openById(sheetId);

## qskSQLLogo.svg

      
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                Matheus1714
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              August 16, 2023 21:03
            
          
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## perceptron_clf.py
from random import random
from sklearn.preprocessing import MinMaxScaler
from sklearn.datasets.samples_generator import make_blobs

# Inicializar variáveis x e y
x, y = make_blobs(n_samples=100, n_features=2, centers=2, random_state=1234)

# Regularizar x para o intervalo entre -1 e 1
minmax = MinMaxScaler(feature_range=(-1, 1))
x = minmax.fit_transform(x.astype(np.float64))

## fib.py
from mpi4py import MPI

comm = MPI.COMM_WORLD
rank = comm.Get_rank()

MEMO = [1,1]

def fib(n):
    if(n==0 or n==1): return 1
    MEMO.append(fib(n-1)+MEMO[n-2])
	<!DOCTYPE html>
	<html xmlns:v="urn:schemas-microsoft-com:vml" xmlns:o="urn:schemas-microsoft-com:office:office" lang="en">

	<head>
	<title></title>
	<meta http-equiv="Content-Type" content="text/html; charset=utf-8">
	<meta name="viewport" content="width=device-width, initial-scale=1.0"><!--[if mso]><xml><o:OfficeDocumentSettings><o:PixelsPerInch>96</o:PixelsPerInch><o:AllowPNG/></o:OfficeDocumentSettings></xml><![endif]--><!--[if !mso]><!--><!--<![endif]-->
	<style>
	* {
	box-sizing: border-box;
	const SHEET_ID_WITH_NAME_AND_EMAIL = 'YOUR_ID_HERE'

	/**
	* Função para obter nomes e emails de uma planilha específica.
	*
	* @param {string} sheetId
	* @return {Array<{ name: string, email: string }>}
	*/
	function getNameAndEmail(sheetId) {
	const spreadsheet = SpreadsheetApp.openById(sheetId);
	from random import random
	from sklearn.preprocessing import MinMaxScaler
	from sklearn.datasets.samples_generator import make_blobs

	# Inicializar variáveis x e y
	x, y = make_blobs(n_samples=100, n_features=2, centers=2, random_state=1234)

	# Regularizar x para o intervalo entre -1 e 1
	minmax = MinMaxScaler(feature_range=(-1, 1))
	x = minmax.fit_transform(x.astype(np.float64))
	from mpi4py import MPI

	comm = MPI.COMM_WORLD
	rank = comm.Get_rank()

	MEMO = [1,1]

	def fib(n):
	if(n==0 or n==1): return 1
	MEMO.append(fib(n-1)+MEMO[n-2])