[Lang] Add @python_scope decorator for selected MatrixNdarray/VectorNdarray methods

[jim19930609]

Related issue = #5819

[netlify]

✅ Deploy Preview for docsite-preview ready!

Name	Link
🔨 Latest commit	2050072
🔍 Latest deploy log	https://app.netlify.com/sites/docsite-preview/deploys/6304827a191bed00095315b9
😎 Deploy Preview	https://deploy-preview-5844--docsite-preview.netlify.app
📱 Preview on mobile	Toggle QR Code... Use your smartphone camera to open QR code link.

---

To edit notification comments on pull requests, go to your Netlify site settings.

[AD1024]

Looks good. Thanks for adding these!
One question: are these methods supposed to be called by users? Looks like they are for internal uses.
Another side note (correct me if I'm wrong):
if they are not for users, probably some could be omitted since they are only called by methods that are callable from Python scope. e.g.

taichi/python/taichi/lang/_ndarray.py

Lines 245 to 247 in 2050072

	@python_scope
	def to_numpy(self):
	return self._ndarray_to_numpy()

[jim19930609]

Looks good. Thanks for adding these! One question: are these methods supposed to be called by users? Looks like they are for internal uses. Another side note (correct me if I'm wrong): if they are not for users, probably some could be omitted since they are only called by methods that are callable from Python scope. e.g.

taichi/python/taichi/lang/_ndarray.py

Lines 245 to 247 in 2050072

	@python_scope
	def to_numpy(self):
	return self._ndarray_to_numpy()

Yes, I do agree some of these methods are not intended to be called by the users thus does not matter whether it has explicit "ti_scope" or "python_scope" decorators. However, since the "ti_scope" and "python_scope" is essentially exclusive at least for now, marking the decorators explicitly improves the readability a lot~