Eniwder

(function(){
  const svg = document.querySelector('svg');
  const svgData = new XMLSerializer().serializeToString(svg);
  const canvas = document.createElement('canvas');
  canvas.width = svg.width.baseVal.value;
  canvas.height = svg.height.baseVal.value;

  const ctx = canvas.getContext('2d');
  const image = new Image;
  image.onload = function(){

Eniwder

from keras.models import Sequential, Model
from keras.layers import *
import os
import sys
from keras.datasets import mnist
from keras.optimizers import Adam
from PIL import Image
import math
import numpy as np
import keras.backend as K

Eniwder

// ==UserScript==
// @name     Twitter使いやすく
// @version  1.11
// @grant    none
// @include  https://twitter.com/*
// ==/UserScript==


// ツイートクリック時にユーザーページに飛ぶのを防ぐ
const currentPath = '/'+document.location.href.match(/twitter.com\/(.*)/)[1];

Eniwder

var xhr = new XMLHttpRequest();
xhr.open("POST", "https://discordapp.com/api/v6/channels/{channelId}/messages", true);
xhr.setRequestHeader('Content-Type','application/json');
xhr.setRequestHeader('Authorization',authKey); // check message header
xhr.send(JSON.stringify({
  content:'somthing message'
}));

// sample request
var xhr = new XMLHttpRequest();

Eniwder

# 前提1
def generator_model():
  input_layer = Input(shape=(100))
  # ~~~~
  output_layer = Activation('tanh')(layer_x)
  return model = Model(input_layer, output_layer) # shape=(batchN,28,28,1)
  
# 前提2
def discriminator_model():
  input_layer = Input(shape=(28, 28, 11))

Eniwder

#   encoding: utf-8
import asyncio


def times_event(bot, wait, ch_id=-1):  # event/times/times_event.py
  ch = bot.get_channel(ch_id)

  if (ch_id != -1) and (ch is None):
    Exception('ch is not found')

Eniwder

"vetur.format.defaultFormatterOptions": {
        "prettier": {
            "singleQuote": true,
            "semi": false
        }
}

Eniwder

@charset "UTF-8";
/* Tab bar below Navigation & Bookmarks Toolbars */
#nav-bar { /* main toolbar */
  -moz-box-ordinal-group: 1 !important;
  box-shadow: none !important;
}
#PersonalToolbar { /* bookmarks toolbar */
  -moz-box-ordinal-group: 2 !important;
}
#TabsToolbar { /* tab bar */

Eniwder

const Option = function(v){
	return Some(x);
}

class _Some{
	constructor(v){ this._v = v }
	flatMap(f) { 
		const result = f(this._v) 
		return (result.constructor.name === '_Some' || result.constructor.name === 'None') ?
			result : (function(){ throw new Error('Type Error: required [ flatMap(f: A => Option(B)) ]') }());