Bug Report: gym==0.21.0 is not installable with pip>=24.1 due to invalid extras_require syntax

[xiahuadong1981]

INFO: pip is still looking at multiple versions of causalnex to determine which version is compatible with other requirements. This could take a while.
ERROR: Cannot install -r requirements.txt (line 10), -r requirements.txt (line 22), -r requirements.txt (line 28), -r requirements.txt (line 37), -r requirements.txt (line 4), -r requirements.txt (line 40), -r requirements.txt (line 41), -r requirements.txt (line 52), -r requirements.txt (line 56), -r requirements.txt (line 62), -r requirements.txt (line 63), -r requirements.txt (line 64), -r requirements.txt (line 71), -r requirements.txt (line 72), -r requirements.txt (line 73), -r requirements.txt (line 77), -r requirements.txt (line 81), numpy==1.23.5, setuptools==65.5.0 and stable-baselines3 because these package versions have conflicting dependencies.

The conflict is caused by:
The user requested setuptools==65.5.0
tensorboard 2.12.0 depends on setuptools>=41.0.0
wandb 0.14.2 depends on setuptools
causalnex 0.12.1 depends on setuptools>=65.5.1
The user requested setuptools==65.5.0
tensorboard 2.12.0 depends on setuptools>=41.0.0
wandb 0.14.2 depends on setuptools
causalnex 0.12.0 depends on setuptools>=65.5.1
The user requested setuptools==65.5.0
tensorboard 2.12.0 depends on setuptools>=41.0.0
wandb 0.14.2 depends on setuptools
causalnex 0.11.2 depends on setuptools>=65.5.1
The user requested numpy==1.23.5
contourpy 1.0.7 depends on numpy>=1.16
imageio 2.25.0 depends on numpy
matplotlib 3.6.3 depends on numpy>=1.19
pandas 1.5.3 depends on numpy>=1.20.3; python_version < "3.10"
patsy 0.5.3 depends on numpy>=1.4
pgmpy 0.1.19 depends on numpy
pydoe2 1.3.0 depends on numpy
pywavelets 1.4.1 depends on numpy>=1.17.3
scikit-image 0.19.3 depends on numpy>=1.17.0
scikit-learn 0.24.2 depends on numpy>=1.13.3
scipy 1.9.3 depends on numpy<1.26.0 and >=1.18.5
stable-baselines3 1.7.0 depends on numpy
statsmodels 0.13.5 depends on numpy>=1.17; python_version != "3.10" or platform_system != "Windows" or platform_python_implementation == "PyPy"
tensorboard 2.12.0 depends on numpy>=1.12.0
tifffile 2023.1.23.1 depends on numpy
gym 0.21.0 depends on numpy>=1.18.0
causalnex 0.11.1 depends on numpy<1.22 and >=1.14.2; python_version < "3.10"

To fix this you could try to:

1. loosen the range of package versions you've specified