Expose standard_normal to RandomStream

[zoj613]

Exposes standard_normal to the random namespace for convenience and to be more consistent with the behavior of np.random.RandomState.

closes #528

[zoj613]

force-pushed to deal with the pre-commit fail. Not sure why it did not catch it since I ran it locally.

[zoj613]

Okay, for some reason the RandomStream class is still not picking up the new attribute at:

aesara/aesara/tensor/random/utils.py

Lines 167 to 169 in a784084

	ns_obj = next(
	(getattr(ns, obj) for ns in self.namespaces if hasattr(ns, obj)), None
	)

EDIT: I see the issue now.

the partial function is not seen as an instance of RandomVariable. The test fails here:

aesara/aesara/tensor/random/utils.py

Lines 174 to 183 in a784084

	from aesara.tensor.random.op import RandomVariable
	if isinstance(ns_obj, RandomVariable):
	@wraps(ns_obj)
	def meta_obj(*args, **kwargs):
	return self.gen(ns_obj, *args, **kwargs)
	else:
	raise AttributeError("No attribute {}.".format(obj))

[zoj613]

@twiecki lets try one more time. I fixed the test failure caused by the linter.

[codecov]

Codecov Report

Merging #530 (d248e69) into main (57a1eb7) will increase coverage by 0.00%.
The diff coverage is 100.00%.

@@           Coverage Diff           @@
##             main     #530   +/-   ##
=======================================
  Coverage   76.54%   76.55%           
=======================================
  Files         149      149           
  Lines       46726    46730    +4     
  Branches    10264    10264           
=======================================
+ Hits        35768    35772    +4     
  Misses       8350     8350           
  Partials     2608     2608           

Impacted Files	Coverage Δ
aesara/tensor/random/basic.py	99.77% <100.00%> (+<0.01%)	⬆️

[twiecki]

Thanks @zoj613!