Pre-requirements dependency on Numpy 1.18.5 breaks scipy

[duytnguyendtn]

In testing #13, I ran into a bug when I tried to import Imviz:

>>> from jdaviz import Imviz
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\jdaviz\__init__.py", line 11, in <module>
    from jdaviz.configs.specviz import Specviz, SpecViz  # noqa
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\jdaviz\configs\__init__.py", line 1, in <module>
    from .cubeviz import *  # noqa
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\jdaviz\configs\cubeviz\__init__.py", line 1, in <module>
    from .plugins import *  # noqa
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\jdaviz\configs\cubeviz\plugins\__init__.py", line 1, in <module>
    from .viewers import *  # noqa
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\jdaviz\configs\cubeviz\plugins\viewers.py", line 2, in <module>
    from glue_jupyter.bqplot.image import BqplotImageView
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\glue_jupyter\bqplot\image\__init__.py", line 1, in <module>
    from .layer_artist import *  # noqa
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\glue_jupyter\bqplot\image\layer_artist.py", line 1, in <module>
    import skimage.measure
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\skimage\measure\__init__.py", line 6, in <module>
    from ._polygon import approximate_polygon, subdivide_polygon
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\skimage\measure\_polygon.py", line 2, in <module>
    from scipy import signal
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\signal\__init__.py", line 310, in <module>
    from ._peak_finding import *
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\signal\_peak_finding.py", line 8, in <module>
    from scipy.stats import scoreatpercentile
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\stats\__init__.py", line 441, in <module>    from .stats import *
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\stats\stats.py", line 43, in <module>
    from . import distributions
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\stats\distributions.py", line 11, in <module>
    from . import _discrete_distns
  File "E:\STScI\gitRepos\aas239-jwebbinar\envvalidate\lib\site-packages\scipy\stats\_discrete_distns.py", line 19, in <module>
    from .biasedurn import (_PyFishersNCHypergeometric,
  File "biasedurn.pyx", line 1, in init scipy.stats.biasedurn
ModuleNotFoundError: No module named 'numpy.random.bit_generator'

Pey Lian was able to trace it down to our pre-requirement on numpy:
https://github.com/spacetelescope/aas239-jwebbinar/blob/main/00_Installation/pre-requirements.txt#L2
specifically:
https://numpy.org/doc/stable/release/1.19.0-notes.html#numpy-random-bit-generator-moved-to-numpy-random-bit-generator

This above pinning on numpy==1.18.5 seems incompatible with our scipy requirement:
https://github.com/spacetelescope/aas239-jwebbinar/blob/main/00_Installation/requirements.txt#L1

Even though scipy 1.7.3 claims support for numpy>=1.16.5, this seems to be breaking... This was fixed when Pey Lian suggested I upgrade numpy. Is there a reason why we have numpy pinned to 1.18.5 @mustaric @eteq @orifox?

[pllim]

If you have Python 3.9 installed via conda, conda won't even let you install such an old version of Numpy. If possible, these dependencies should be moved into a conda environment YAML file: https://docs.conda.io/projects/conda/en/latest/user-guide/tasks/manage-environments.html#building-identical-conda-environments

UnsatisfiableError: The following specifications were found
to be incompatible with the existing python installation in your environment:

Specifications:

  - numpy==1.18.5 -> python[version='>=3.6,<3.7.0a0|>=3.7,<3.8.0a0|>=3.8,<3.9.0a0']

Your python: python=3.9

[pllim]

I also opened issue upstream here:

• DEP: Bump numpy minversion to 1.19? scipy/scipy#15209