Fix compatible with numpy 2.X

[DavidChartrand]

I was having the following error while using the function conical_shockwave_solver, this appears to be due to the migration to numpy 2.X:

Traceback (most recent call last): File "n:...\code_mur_1D_v3.py", line 43, in cone_res=pgf.conical_shockwave_solver(INITIAL_MACH, 'theta_c', WEDGE, GAMMA) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users...\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pygasflow\utils\decorators.py", line 232, in wrapper_function args[i] = convert_to_ndarray(args[i]) ^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "C:\Users...\AppData\Local\Packages\PythonSoftwareFoundation.Python.3.11_qbz5n2kfra8p0\LocalCache\local-packages\Python311\site-packages\pygasflow\utils\common.py", line 11, in convert_to_ndarray return np.atleast_1d(np.array(x, copy=False, dtype=np.float64)) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ ValueError: Unable to avoid copy while creating an array as requested. If using np.array(obj, copy=False) replace it with np.asarray(obj) to allow a copy when needed (no behavior change in NumPy 1.x). For more details, see https://numpy.org/devdocs/numpy_2_0_migration_guide.html#adapting-to-changes-in-the-copy-keyword.

I apply this change np.array(..., copy=False) to np.asarray(...) to be compatible with numpy 2.X, See: https://numpy.org/doc/stable/numpy_2_0_migration_guide.html

[Davide-sd]

Thanks @DavidChartrand for the PR, right now some tests are failing. I need to understand if Matplotlib is currently able to deal with Numpy 2.0. I'll let you know, tonight or tomorrow.

[Davide-sd]

Ok, I tested locally and it should work. Currently, tests are failing because I locked matplotlib version in the test environment. I don't remember why.

I'm going to merge this PR. Thank you again.