sinhakrishnendu/BABAPPAlign: bump to v1.4.0

BABAPPAlign v1.4.0 This release adds automatic hardware accelerator selection for BABAPPAlign across CUDA, Apple Silicon Metal/MPS, and CPU. BABAPPAlign now uses --device auto by default and selects the fastest usable backend in this order: CUDA Apple Silicon Metal/MPS CPU fallback Each accelerator is checked with a small runtime tensor probe before use, so systems where PyTorch reports a backend but cannot actually execute on it will safely fall back to CPU with a warning. Highlights Added Apple Silicon Metal/MPS support Added automatic CUDA → MPS → CPU device selection Added runtime accelerator probing for safer backend selection Updated babappalign and babappascore CLIs to support: --device auto --device cpu --device cuda --device mps Removed Conda cpuonly pin to allow accelerator-capable PyTorch builds Updated README and installation documentation Cleaned release packaging metadata and artifacts Added device-selection tests Validation Validated locally on Apple Silicon: --device auto selected mps Protein alignment completed successfully on MPS Codon alignment completed successfully on MPS babappascore matrix generation completed successfully on MPS Test suite passed: 6 passed The affine-gap dynamic programming alignment core is unchanged. Hardware acceleration affects performance only, not alignment correctness.