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TNFR AI Agent
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release: Version 0.0.2 - TNFR Development Doctrine & Framework Expansion
Version Updates: - Updated version to 0.0.2 in pyproject.toml, _version.py, README.md, AGENTS.md - Updated DOI to 10.5281/zenodo.17764207 in README.md and CITATION.cff - Updated BibTeX citation with new version and DOI - Added comprehensive CHANGELOG entry for v0.0.2 Release Highlights: - TNFR Development Doctrine: Foundational commitment to mathematical objectivity - Framework Expansion: 29 new examples, TNFR-Riemann program, advanced physics - Documentation Modernization: Academic tone, unified terminology, professional presentation - Test Suite Optimization: 173 passing tests, focused on theoretical foundations - Technical Enhancements: Enhanced dynamics, Riemann operators, improved type system This release represents a major milestone in TNFR development with: - Complete theoretical framework from foundations to advanced applications - Rigorous academic documentation standards - Clean, reliable test suite - Commitment to following mathematics objectively wherever it leads DOI: 10.5281/zenodo.17764207
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AGENTS.md

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## Theoretical Framework for Coherent Pattern Analysis
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**Status**: Primary theoretical reference document
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**Version**: 0.0.1 (November 29, 2025)
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**Version**: 0.0.2 (November 29, 2025)
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**Authority**: This repository contains the current implementation of TNFR theory
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**Repository**: https://github.com/fermga/TNFR-Python-Engine
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**PyPI Package**: https://pypi.org/project/tnfr/

CHANGELOG.md

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All notable changes to this project will be documented in this file.
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## [0.0.2] - 2025-11-29
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### TNFR Development Doctrine Establishment
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- **Foundational Principle**: Added TNFR Development Doctrine as core methodological commitment
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- **Theoretical Integrity**: Commitment to follow mathematics objectively from nodal equation ∂EPI/∂t = νf · ΔNFR(t)
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- **Scientific Independence**: Defend conclusions emerging rigorously from TNFR principles regardless of external paradigm alignment
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- **Validation Criteria**: Established 4-point validation framework (Derivable, Testable, Reproducible, Coherent)
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### Complete Framework Expansion
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- **29 New Examples**: Comprehensive examples (11-39) covering physics, biology, cosmology, consciousness studies
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- **TNFR-Riemann Program**: Complete theoretical framework connecting discrete operators to Riemann Hypothesis
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- **Advanced Physics Modules**: Classical mechanics, quantum mechanics, symplectic integration implementations
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- **Extensive Theory Documentation**: 25+ specialized theoretical documents in theory/ directory
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### Documentation Academic Modernization
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- **Unified Academic Tone**: Systematic elimination of grandilocuent language across all documentation
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- **README Gateway**: Transformed main README into coherent documentation entry point
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- **Consistent Terminology**: Standardized "Primary theoretical reference" replacing "SINGLE SOURCE OF TRUTH"
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- **Professional Presentation**: Enhanced credibility through formal academic language standards
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### Test Suite Optimization
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- **Major Cleanup**: Removed 58 obsolete test files (82 → ~30 files)
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- **100% Pass Rate**: Achieved 173 passing, 7 skipped, 0 failing tests
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- **Focused Validation**: Retained only tests validating TNFR theoretical foundations
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- **Core Coverage**: Mathematics, operators, physics, validation maintained
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### Technical Enhancements
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- **Enhanced N-body Dynamics**: Improved TNFR integration with classical mechanics
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- **Riemann Operator**: Complete implementation with eigenvalue analysis capabilities
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- **Type System**: Enhanced type definitions and structural validation
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- **Code Quality**: Significant cleanup removing outdated components
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## [9.7.0] - 2025-11-29
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### Major Theoretical Enhancements

CITATION.cff

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title: "TNFR-Python-Engine: Resonant Fractal Nature Theory Implementation"
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message: "If you use this software, please cite it as below."
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type: software
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version: "0.0.1"
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version: "0.0.2"
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date-released: "2025-11-29"
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authors:
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- given-names: "F. F. Martinez Gamo"
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orcid: "https://orcid.org/0009-0007-6116-0613"
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repository-code: "https://github.com/fermga/TNFR-Python-Engine"
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url: "https://pypi.org/project/tnfr/"
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doi: "10.5281/zenodo.17761312"
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doi: "10.5281/zenodo.17764207"
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license: "MIT"
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keywords:
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- "TNFR"

README.md

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# TNFR: Resonant Fractal Nature Theory
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## Computational Framework for Coherent Pattern Analysis
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17761312.svg)](https://doi.org/10.5281/zenodo.17761312)
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[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.17764207.svg)](https://doi.org/10.5281/zenodo.17764207)
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[![PyPI version](https://badge.fury.io/py/tnfr.svg)](https://pypi.org/project/tnfr/)
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[![Python 3.10+](https://img.shields.io/badge/python-3.10+-blue.svg)](https://www.python.org/downloads/)
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[![License: MIT](https://img.shields.io/badge/License-MIT-yellow.svg)](https://opensource.org/licenses/MIT)
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**TNFR (Resonant Fractal Nature Theory)** provides a mathematical framework for modeling coherent patterns in complex systems through resonance-based dynamics.
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**Version**: 0.0.1 (November 29, 2025)
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**Version**: 0.0.2 (November 29, 2025)
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**Theoretical Foundation**: Universal Tetrahedral Correspondence (φ↔Φ_s, γ↔|∇φ|, π↔K_φ, e↔ξ_C)
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**Installation**: `pip install tnfr`
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author = {Martinez Gamo, F. F.},
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title = {TNFR-Python-Engine: Resonant Fractal Nature Theory Implementation},
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year = {2025},
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version = {0.0.1},
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doi = {10.5281/zenodo.17761312},
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version = {0.0.2},
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doi = {10.5281/zenodo.17764207},
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url = {https://github.com/fermga/TNFR-Python-Engine}
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}
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```

pyproject.toml

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[project]
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name = "tnfr"
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version = "0.0.1"
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version = "0.0.2"
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description = "Resonant Fractal Nature Theory (TNFR) - Computational engine for modeling coherent patterns through resonance dynamics"
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readme = "README.md"
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requires-python = ">=3.10"

src/tnfr/_version.py

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"""Version information for TNFR package."""
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__version__ = "0.0.1"
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__version__ = "0.0.2"

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