Install, build and debug a react native app in WSL2 (Windows Subsystem for Linux) and Ubuntu.
To use media keys on the Ducky One 2 Skyline, you must record a macro to bind the media function to a hotkey combination, i.e. Fn
plus some key.
Important: In the instructions below, "Press X+Y+Z
" means press and hold key X
, press and hold key Y
, press and hold key Z
in that order, and then release all three.
As an example, to bind Fn+PgUp
to the play/pause media function:
# Copyright 2015 The TensorFlow Authors. All Rights Reserved. | |
# | |
# Licensed under the Apache License, Version 2.0 (the "License"); | |
# you may not use this file except in compliance with the License. | |
# You may obtain a copy of the License at | |
# | |
# http://www.apache.org/licenses/LICENSE-2.0 | |
# | |
# Unless required by applicable law or agreed to in writing, software | |
# distributed under the License is distributed on an "AS IS" BASIS, |
Note: This is the guide for v 2.x.
For the v3, please follow this url: https://blog.csdn.net/sam_shan/article/details/80585240 Thanks @liy-cn for contributing.
For the v6, please follow the comment below: https://gist.github.com/trandaison/40b1d83618ae8e3d2da59df8c395093a?permalink_comment_id=5079514#gistcomment-5079514
Download: StarUML.io
Some Time there is a shallow update not allowed issue in your cloned GIT repo.
This means that you have to unshallow your repository. To do so you will need to add your old remote again.
git remote add origin <path-to-old-remote>
After that we use git fetch to fetch the remaining history from the old remote (as suggested in this answer).
git fetch --unshallow origin
And now you should be able to push into your new remote repository.
import numpy as np | |
from keras.models import Sequential | |
from keras.layers.core import Activation, Dense | |
from keras.optimizers import SGD | |
X = np.array([[0,0],[0,1],[1,0],[1,1]], "float32") | |
y = np.array([[0],[1],[1],[0]], "float32") | |
model = Sequential() | |
model.add(Dense(2, input_dim=2, activation='sigmoid')) |
version: '2' | |
services: | |
myapp: | |
build: . | |
container_name: "myapp" | |
image: debian/latest | |
environment: | |
- NODE_ENV=development | |
- FOO=bar | |
volumes: |
If you use atom... download & install the following packages:
import React, {Component} from 'react'; | |
import {BootstrapTable, TableHeaderColumn} from 'react-bootstrap-table'; | |
import _ from 'lodash'; | |
const dataTable = _.range(1, 60).map(x => ({id: x, name: `Name ${x}`, surname: `Surname ${x}`})); | |
// Simulates the call to the server to get the data | |
const fakeDataFetcher = { | |
fetch(page, size) { | |
return new Promise((resolve, reject) => { |
/* HOC fundamentally is just a function that accepts a Component and returns a Component: | |
(component) => {return componentOnSteroids; } or just component => componentOnSteroids; | |
Let's assume we want to wrap our components in another component that is used for debugging purposes, | |
it just wraps them in a DIV with "debug class on it". | |
Below ComponentToDebug is a React component. | |
*/ | |
//HOC using Class | |
//it's a function that accepts ComponentToDebug and implicitly returns a Class | |
let DebugComponent = ComponentToDebug => class extends Component { |