Yusuke Urakami yusukeurakami

Whether you're trying to give back to the open source community or collaborating on your own projects, knowing how to properly fork and generate pull requests is essential. Unfortunately, it's quite easy to make mistakes or not know what you should do when you're initially learning the process. I know that I certainly had considerable initial trouble with it, and I found a lot of the information on GitHub and around the internet to be rather piecemeal and incomplete - part of the process described here, another there, common hangups in a different place, and so on.

In an attempt to coallate this information for myself and others, this short tutorial is what I've found to be fairly standard procedure for creating a fork, doing your work, issuing a pull request, and merging that pull request back into the original project.

Creating a Fork

Just head over to the GitHub page and click the "Fork" button. It's just that simple. Once you've done that, you can use your favorite git client to clone your repo or j

	// 使い方：
	// 1. OpenAIのAPI keyを取得する→(https://platform.openai.com/account/api-keys
	// 2. https://script.google.com/home/　にアクセスし、新しいプロジェクトを作成する。
	// 3. 作成したプロジェクトを開き、このコード全文をエディタにコピペする。API Keyとメールアドレスを埋める。
	// 4. この時点でコードエディタ画面上部の実行ボタン（再生マーク）を押して正しく実行できるか確認しておくと良い
	// 5. 左カラムからトリガー設定画面（目覚ましアイコン）を開き、よしなに自動実行を設定する。

	// 参考にさせていただいたスクリプト：
	// https://script.google.com/home/projects/1M6yhI6PTaFpvcZeRVycmJZoh2LhUL_Zk64pxwDYCLjD1K14Qirf7Nov-
	// https://twitter.com/niniziv/status/1638155751515631617

	#!/usr/bin/python
	#-- coding: latin-1 --
	"""This module contains pure Python implementations of the
	Levenberg-Marquardt algorithm for data fitting.
	"""

	import numpy

	from numpy import inner, max, diag, eye, Inf, dot
	from numpy.linalg import norm, solve