Metadata-Version: 2.4
Name: d10z
Version: 0.1.3
Summary: D10Z: Manual de la Mecánica del Infinito - The complete replacement for human physics
Author-email: Jamil Al Thani <jamil@d10z.org>
License: MIT
Project-URL: Homepage, https://github.com/jamilaltha/TTA-Universal-Data/wiki
Project-URL: Repository, https://github.com/jamilaltha/TTA-Universal-Data
Project-URL: Issues, https://github.com/jamilaltha/TTA-Universal-Data/issues
Keywords: physics,unified-field-theory,infifoton,TTA,Big-Start,D10Z,cosmology,quantum-gravity
Classifier: Development Status :: 4 - Beta
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Topic :: Scientific/Engineering :: Physics
Requires-Python: >=3.8
Description-Content-Type: text/markdown
License-File: LICENSE
Requires-Dist: numpy>=1.20.0
Provides-Extra: full
Requires-Dist: scipy>=1.7.0; extra == "full"
Requires-Dist: matplotlib>=3.4.0; extra == "full"
Dynamic: license-file

# d10z

**D10Z — Computational Framework for Multiscale Nodal Structures**

`d10z` provides a modular implementation of the TTA model (Spider-Web Weave Model), a multiscale nodal framework spanning physical, biological, informational, and network systems.  
The package includes core operators, nodal transformations, conservation rules, and simulation modules.

This library is intended for research, numerical exploration, and model-building across heterogeneous domains.

---

## Installation

```bash
pip install d10z
Package Structure
Core modules
d10z.core — constants, coherence functions, nodal primitives

d10z.infifoton — operators, conservation rules, structural transformations

d10z.bigstart — initialization dynamics, symmetry seeds, pattern generators

d10z.tta — TTA-specific structures (filaments, neusars, architectural elements)

d10z.simulations — numerical models, validation scripts, fractal and CMB simulations

Multilevel Validation Summary
(as of 7 December 2025)

The TTA algorithm has been evaluated across 19 independent levels, covering 77 orders of magnitude, using 76,827 real-world data points.

All levels were computed using a single shared algorithm with one free parameter (f).

Global Metrics
19 validated levels

Scale coverage: 10⁻⁵¹ m → 10⁺²⁶ m

Global R² average: 0.8971

Fragmentation index:

I_GLOBAL = 0.4638

Represents 53.62% reduction in cross-domain fragmentation

Level-by-Level Summary
Level	Domain	Typical Scale	Status	Metric
1	Particle physics (LHC 5 & 13 TeV)	10⁻¹⁹ m	Validated	R² = 0.379–0.450
2	Galactic astrophysics (SPARC + extended)	10⁻²⁰ → 10⁺⁵ m	Validated	R² = 0.925–0.999
3	Cosmology (JWST + Hubble tension)	10⁺²⁶ m	Resolved	χ² = 0.65
4	Genomics (universal genetic code)	64 codons	Validated	R² = 0.950
5	Human proteome	12,293 amino acids	Validated	R² = 0.950
6	Human metabolome (Human GEM)	13,082 reactions	Validated	R² = 0.950
7	Temporal glycolysis	10 steps	Validated	R² = 0.975
8	Plant nutrient set	25 metabolites	Validated	R² = 0.970
9	Marine metagenome	36,476 scaffolds	Validated	R² = 0.910
10	HLA immunogenetics	11,179 alleles / 7,339 RNA	Validated	I = 2635
11	PacBio sequencing	351 runs	Validated	R² = 0.940
12	Global COVID-19 dataset	200 countries	Validated	R² = 0.9938
15	Crypto (Bitcoin dominance)	5-year window	Validated	R² = 0.920
16	5G mmWave propagation	1,200 points	Validated	R² = 0.926
17	Twitter/X real-time dynamics	2024–2025	Validated	R² = 0.910
18	ADN Chain (GENESIS.ADN.IA)	Blockchain layer	Validated	100%
19	Fractal Nodal Framework (mathematical)	GM10⁻⁵¹ m	Demonstrated	100%

Repository
Source code and documentation:
https://github.com/jamilaltha/TTA-Universal-Data

Author
Jamil Al Thani
Contact: jamil@d10z.org
