Fix PyTorch gamma array-like inputs

[FlorianPfaff]

Summary

• patch the PyTorch gamma backend entry point so scalar and array-like inputs are first coerced through the active backend array constructor
• update both the public pyrecest.backend.gamma facade and the raw pyrecest._backend.pytorch.gamma entry point
• add a subprocess regression test for scalar, list, and raw-backend gamma calls

Bug fixed

The PyTorch backend exported gamma, but its implementation called torch.special.gammaln directly. That function only accepts tensors, so calls such as backend.gamma(5.0) or backend.gamma([0.5, 1.0, 5.0]) failed under PYRECEST_BACKEND=pytorch even though other unary backend functions accept scalar and array-like inputs.

Testing

• Added tests/backend_support/test_pytorch_gamma_contract.py
• Locally syntax-checked the modified src/pyrecest/__init__.py and the new regression test with python -m py_compile

Full test execution was not possible in this execution environment because the repository cannot be cloned or installed from GitHub here.

[github-actions]

✅MegaLinter analysis: Success

Descriptor	Linter	Files	Fixed	Errors	Warnings	Elapsed time
✅ COPYPASTE	jscpd	yes		no	no	76.02s
✅ JSON	prettier	7	0	0	0	0.95s
✅ JSON	v8r	7		0	0	4.35s
✅ MARKDOWN	markdownlint	68	0	0	0	1.98s
✅ MARKDOWN	markdown-table-formatter	68	0	0	0	0.71s
✅ PYTHON	black	1095	0	0	0	61.34s
✅ PYTHON	isort	1095	1	0	0	5.18s
✅ REPOSITORY	checkov	yes		no	no	50.2s
✅ REPOSITORY	gitleaks	yes		no	no	10.77s
✅ REPOSITORY	git_diff	yes		no	no	0.1s
✅ REPOSITORY	secretlint	yes		no	no	36.8s
✅ REPOSITORY	syft	yes		no	no	3.49s
✅ REPOSITORY	trivy-sbom	yes		no	no	12.35s
✅ REPOSITORY	trufflehog	yes		no	no	19.78s
✅ YAML	prettier	11	0	0	0	0.7s
✅ YAML	v8r	11		0	0	12.84s
✅ YAML	yamllint	11		0	0	0.67s

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