TorchLean API

FloatLib.Floats.Formats.BinaryInterchange.Configured.Classification.Proof

Classification refinement for configured binary values #

Every storage codec preserves classification and canonicality. The ten class characterizations and the exact numerical threshold theorems are transported from the descriptor model, with no assumptions on storage width, bias, or exceptional-value policy beyond a valid descriptor.

Configured canonicality concerns the exact interchange word decoded by the codec.

Normality excludes zeros, subnormals, infinities, and NaNs for every storage codec.

@[simp]

Every configured implicit-leading-bit binary word is canonical.

Canonicality agrees with lossless reconstruction from the full interchange word.