jlebensold

let pastryList: list(pastry) = [                                                 
  { label: "🥐  Croissants",  flour: 0.7, butter: 0.5, sugar: 0.2, eggs: 0.0 },   
  { label: "🍪  Cookies", flour: 0.5, butter: 0.4, sugar: 0.5, eggs: 0.2 },       
  { label: "🥞  Pancakes", flour: 0.7, butter: 0.5, sugar: 0.3, eggs: 0.3 },      
  { label: "🍩  Dougnuts", flour: 0.5, butter: 0.2, sugar: 0.8, eggs: 0.1 }       
];                                                                               
                                                                                 
let theList = List.map((item) => <Text>{item.label}</Text>, pastryList);         

jlebensold

from pathlib import Path
import torch
import torch.nn as nn
import torch.nn.functional as F


class TanhNet(nn.Module):
    def __init__(self, in_features, h_units):
        super(TanhNet, self).__init__()
        self.fc1 = nn.Linear(in_features, h_units)

jlebensold

<?php
session_start();
if (!isset($_SESSION['names']))
    $_SESSION['names'] = array("jane","jim","john","emily","bill","sara");



class Name
{
  public $id;