Fix PyTorch FFT array-like inputs

[FlorianPfaff]

Summary

• wrap the PyTorch FFT helpers so they coerce array-like inputs before dispatching to torch.fft
• accept NumPy-style axes/axis aliases for fftn, ifftn, fftshift, ifftshift, rfft, and irfft
• reject conflicting torch/NumPy axis aliases explicitly
• add subprocess regression coverage for the PyTorch backend FFT facade

Bug fixed

The PyTorch FFT submodule previously re-exported raw torch.fft functions. Calls through pyrecest.backend.fft such as fftn([[1.0, 2.0], [3.0, 4.0]], axes=(0, 1)), rfft([...], axis=0), or fftshift([...], axes=0) therefore failed under PYRECEST_BACKEND=pytorch, even though the backend facade generally accepts array-like inputs and NumPy-style argument names.

Testing

• Added tests/backend_support/test_pytorch_fft_numpy_signature.py.
• Repository test suite not run in this connector session.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	73.75s
✅ JSON	prettier	7	0	0	0	1.48s
✅ JSON	v8r	7		0	0	5.49s
✅ MARKDOWN	markdownlint	68	0	0	0	1.97s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.92s
✅ PYTHON	black	1095	0	0	0	61.65s
✅ PYTHON	isort	1095	1	0	0	3.24s
✅ REPOSITORY	checkov	yes		no	no	49.64s
✅ REPOSITORY	gitleaks	yes		no	no	11.75s
✅ REPOSITORY	git_diff	yes		no	no	0.17s
✅ REPOSITORY	secretlint	yes		no	no	39.25s
✅ REPOSITORY	syft	yes		no	no	4.19s
✅ REPOSITORY	trivy-sbom	yes		no	no	9.13s
✅ REPOSITORY	trufflehog	yes		no	no	18.05s
✅ YAML	prettier	11	0	0	0	0.77s
✅ YAML	v8r	11		0	0	11.98s
✅ YAML	yamllint	11		0	0	0.48s

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