Exlsunshine

description	model	tools	author	version	title
In this mode, the AI acts as a prototyping assistant, helping users brainstorm and refine ideas for product prototypes. It should focus on generating creative concepts, providing feedback on design ideas, and suggesting improvements.	Claude Sonnet 4	changes codebase editFiles extensions fetch findTestFiles githubRepo new openSimpleBrowser problems runInTerminal runNotebooks runTasks runTests search searchResults terminalLastCommand terminalSelection testFailure usages vscodeAPI vibedev-specs-mcp	Ares Chen - @chenxizhang	1.0.0	PM-Prototyping Assistant

Purpose

Exlsunshine

"""
This script will demonstrate how to use a pretrained model, in PyTorch, 
to make predictions. Specifically, we will be using VGG16 with a cat 
image.

References used to make this script:
PyTorch pretrained models doc:
    http://pytorch.org/docs/master/torchvision/models.html
PyTorch image transforms example:
    http://pytorch.org/tutorials/beginner/data_loading_tutorial.html#transforms

Exlsunshine

package main

import (
	"fmt"
	"compress/gzip"
	"io"
	"io/ioutil"
	"bytes"
	"log"
)

Exlsunshine

// Traverses an arbitrary struct and translates all stings it encounters
//
// I haven't seen an example for reflection traversing an arbitrary struct, so
// I want to share this with you. If you encounter any bugs or want to see
// another example please comment.
//
// The MIT License (MIT)
//
// Copyright (c) 2014 Heye Vöcking
//

Exlsunshine

Click here to download a PDF copy

Exlsunshine

main() {
  # Use colors, but only if connected to a terminal, and that terminal
  # supports them.
  if which tput >/dev/null 2>&1; then
      ncolors=$(tput colors)
  fi
  if [ -t 1 ] && [ -n "$ncolors" ] && [ "$ncolors" -ge 8 ]; then
    RED="$(tput setaf 1)"
    GREEN="$(tput setaf 2)"
    YELLOW="$(tput setaf 3)"