Improve how the SciPy BLAS library is found

[dime10]

Catalyst support for certain JAX functions relies on a BLAS runtime library being available, specifically the OpenBLAS library shipped with SciPy. The relevant source code is located in the Python compiler driver:

catalyst/frontend/catalyst/compiler.py

Lines 289 to 304 in 72698d8

	if platform.system() == "Linux":
	file_path_within_package = "../scipy.libs/"
	file_extension = ".so"
	elif platform.system() == "Darwin": # pragma: nocover
	file_path_within_package = ".dylibs/"
	file_extension = ".dylib"
	package_name = "scipy"
	scipy_package = importlib.util.find_spec(package_name)
	package_directory = path.dirname(scipy_package.origin)
	scipy_lib_path = path.join(package_directory, file_path_within_package)
	file_prefix = "libopenblas"
	search_pattern = path.join(scipy_lib_path, f"{file_prefix}*{file_extension}")
	openblas_so_file = glob.glob(search_pattern)[0]
	openblas_lib_name = path.basename(openblas_so_file)[3 : -len(file_extension)]

This code snippet is brittle and susceptible to different packaging configurations (for instance the assumption of the folder locations relative to the scipy package location.

At minimum we should raise a user friendly error message that there is a problem with the scipy installation.

Ideally, we would also find ways to make this more robust on the various systems, and also consider conda installations.

[dime10]

At minimum we should raise a user friendly error message that there is a problem with the scipy installation.

The first part has been completed, but I'll leave this issue open to track the improvement to the library detection system.