ShaMan123

function migrateObject(obj) {
    const clipPath = obj?.clipPath;
    if (clipPath && clipPath.type === 'group' && clipPath.eraser === true) {
        clipPath.type = 'eraser';
        delete clipPath.eraser;
        const rect = clipPath.objects.shift();
        obj.clipPath = rect.clipPath;
        obj.eraser = clipPath;
    }

kinu

Google に入ったときの話 (Kinuko)

祭っぽいので私も書いてみることにした！お手軽に gist で。

コンテキスト：https://togetter.com/li/1331865

対策とか（特になし）

と書き出したはいいが、私が受けたときは本も情報もあまりなく、かつ競プロ的なものの存在も知らなかったので、とりあえず家にあったアルゴリズムの本を２回くらい読み直した。そして受かった。最初っから情報があまりない方のパターンで申し訳ない 😄

jthomas

{
  "name": "tf-js",
  "version": "1.0.0",
  "main": "script.js",
  "license": "MIT",
  "dependencies": {
    "@tensorflow-models/mobilenet": "^0.2.2",
    "@tensorflow/tfjs": "^0.12.3",
    "@tensorflow/tfjs-node": "^0.1.9",
    "jpeg-js": "^0.3.4"

anj1

import types
import tensorflow as tf 
import numpy as np

# Expressions are represented as lists of lists,
# in lisp style -- the symbol name is the head (first element)
# of the list, and the arguments follow.

# add an expression to an expression list, recursively if necessary.
def add_expr_to_list(exprlist, expr):

karpathy

""" Trains an agent with (stochastic) Policy Gradients on Pong. Uses OpenAI Gym. """
import numpy as np
import cPickle as pickle
import gym

# hyperparameters
H = 200 # number of hidden layer neurons
batch_size = 10 # every how many episodes to do a param update?
learning_rate = 1e-4
gamma = 0.99 # discount factor for reward

eevee

"""Perlin noise implementation."""
# Licensed under ISC
from itertools import product
import math
import random


def smoothstep(t):
    """Smooth curve with a zero derivative at 0 and 1, making it useful for
    interpolating.

voluntas

WebRTC コトハジメ

更新

2023-10-04

作者

@voluntas

バージョン

2023.2

URL

https://voluntas.github.io/

patriciogonzalezvivo

Please consider using http://lygia.xyz instead of copy/pasting this functions. It expand suport for voronoi, voronoise, fbm, noise, worley, noise, derivatives and much more, through simple file dependencies. Take a look to https://github.com/patriciogonzalezvivo/lygia/tree/main/generative

Generic 1,2,3 Noise

float rand(float n){return fract(sin(n) * 43758.5453123);}

float noise(float p){
	float fl = floor(p);
  float fc = fract(p);