matrix().max() reports `TypeError: float() argument must be a string or a number`

[HuangYanqiColumbia]

The following reporducing code reports TypeError: float() argument must be a string or a number

Reproducing code example:

import numpy as np
np.matrix(np.random.randn(100, 100)).max()

Error message:

---

Numpy/Python version information:

1.18.1 3.8.3 (default, May 19 2020, 18:47:26)
[GCC 7.3.0]

[mattip]

The complete error message has

... not _NoValueType

which is supposed to be a singleton. Maybe you are reloading NumPy or in some other way invalidating the global numpy state? Does this happen if you run your test case above immediately after starting NumPy?

[AnshuTrivedi]

@mattip @eric-wieser
@HuangYanqiColumbia I tried to reproduce error and there is no issue even after running 2-3 times same code on notebook. Used seed to produce same result.

np.random.seed(1)
np.matrix(np.random.randn(100, 100)).max()
4.026849044547378

I think issue can be closed if solved for @HuangYanqiColumbia.

[mattip]

Closing since the original reporter did not give us the needed information to continue. Please reopen or open a new issue if needed. Thanks @AnshuTrivedi for following through.