[0.4.2] - 2025-12-21

poulpy-core

• Add GLWEMulPlain trait:
  • glwe_mul_plain_tmp_bytes
  • glwe_mul_plain
  • glwe_mul_plain_inplace
• Add GLWEMulConst trait:
  • glwe_mul_const_tmp_bytes
  • glwe_mul_const
  • glwe_mul_const_inplace
• Add GLWETensoring trait:
  • glwe_tensor_apply_tmp_bytes
  • glwe_tensor_apply
  • glwe_tensor_relinearize_tmp_bytes
  • glwe_tensor_relinearize
• Add method tests:
  • test_glwe_tensoring

poulpy-hal

• Removed Backend generic from VecZnxBigAllocBytesImpl.
• Add CnvPVecL and CnvPVecR structs.
• Add CnvPVecBytesOf and CnvPVecAlloc traits.
• Add Convolution trait, which regroups the following methods:
  • cnv_prepare_left_tmp_bytes
  • cnv_prepare_left
  • cnv_prepare_right_tmp_bytes
  • cnv_prepare_right
  • cnv_by_const_apply
  • cnv_by_const_apply_tmp_bytes
  • cnv_apply_dft_tmp_bytes
  • cnv_apply_dft
  • cnv_pairwise_apply_dft_tmp_bytes
  • cnv_pairwise_apply_dft
• Add the following Reim4 traits:
  • Reim4Convolution
  • Reim4Convolution1Coeff
  • Reim4Convolution2Coeffs
  • Reim4Save1BlkContiguous
• Add the following traits:
  • i64Save1BlkContiguous
  • i64Extract1BlkContiguous
  • i64ConvolutionByConst1Coeff
  • i64ConvolutionByConst2Coeffs
• Update signature Reim4Extract1Blk to Reim4Extract1BlkContiguous.
• Add fft64 backend reference code for
  • reim4_save_1blk_to_reim_contiguous_ref
  • reim4_convolution_1coeff_ref
  • reim4_convolution_2coeffs_ref
  • convolution_prepare_left
  • convolution_prepare_right
  • convolution_apply_dft_tmp_bytes
  • convolution_apply_dft
  • convolution_pairwise_apply_dft_tmp_bytes
  • convolution_pairwise_apply_dft
  • convolution_by_const_apply_tmp_bytes
  • convolution_by_const_apply
• Add take_cnv_pvec_left and take_cnv_pvec_right methods to ScratchTakeBasic trait.
• Add the following tests methods for convolution:
  • test_convolution
  • test_convolution_by_const
  • test_convolution_pairwise
• Add the following benches methods for convolution:
  • bench_cnv_prepare_left
  • bench_cnv_prepare_right
  • bench_cnv_apply_dft
  • bench_cnv_pairwise_apply_dft
  • bench_cnv_by_const
• Update normalization API and OEP to take res_offset: i64. This allows the user to specify a bit-shift (positive or negative) applied to the normalization. Behavior-wise, the bit-shift is applied before the normalization (i.e. before applying mod 1 reduction). Since this is an API break, opportunity was taken to also re-order inputs for better consistency.
  • VecZnxNormalize & VecZnxNormalizeImpl
  • VecZnxBigNormalize & VecZnxBigNormalizeImpl
    This change completes the road to unlocking full support for cross-base2k normalization, along with arbitrary positive/negative offset. Code is not ensured to be optimal, but correctness is ensured.