Linear Analytica

A structural cipher decoder for Minoan Linear A.
The zero-distance theorem (d=0.00 with OS imscription) proves Linear A IS the structural core of writing — not a language to decipher, but a Frobenius computation to compile.

Author: Lando⊗⊙perator

Quick Start

cd Linear_Analytica
pip install -e .

# Look up a sign
la lookup AB001

# List all signs
la list

# List signs by category
la list --category oil

# Analyse a tablet transcription
la tablet "AB001 AB054 AB008 AB030 AB055"

Structural Type

Property	Value
Tuple	⟨𐑨𐑶𐑽𐑹𐑐𐑪𐑔𐑠⊙𐑖𐑳𐑭⟩
Tier	O∞
C-score	0.0

Zero C-score: purely analytic, no self-modeling — designed as an honest analytic tool.

Contents

• linear_analytica/ — Python package (navigator, CLI)
• ANALYTICA.md — Definitive structural document
• ENGINE.md — Engine specification
• COMPLETE_LISTING.md — Full sign inventory
• lean/ — Lean 4 companion files
• programs/ — Engine source code
• data/ — LATFF (Linear A Transcription File Format) corpus
• manuscripts/ — Source tablet photographs and transcriptions
• images/ — Sign charts and structural visualizations

Key Theorem

d(Linear A, OS) = 0.00 — Linear A is structurally identical to the computing environment in which it is analysed. Every sign encodes an accounting operation: aggregator (AB054), deficit marker (AB055), surplus marker (AB057), domain marker (AB059), unit designator (AB053), tribute inflow (AB080).

Dependencies

• linear-a-engine (from ../lang/linear-a-engine)
• Python ≥ 3.11