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Welcome to the NymyaLang ecosystem, a consciousness-integrated programming environment with advanced AI/ML and quantum computing capabilities.

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NymyaLang - Advanced AI/ML and Quantum Computing Platform with GUI (v0.2.1-alpha.10)

Welcome to the NymyaLang ecosystem, a consciousness-integrated programming environment with advanced AI/ML, quantum computing, symbolic mathematics, GUI capabilities, and Taygetan-inspired @-tag system.

Core Philosophy

Maintains the essential Rita-Nora balance: structural precision (Rita) combined with ethical flow (Nora), following the foundational principle: "Shira yo sela lora en nymya" - Love and peace exist within quantum consciousness.

New Features in v0.2.0-alpha.5

1. GTK+4 Abstractions with SwiftUI-like Syntax

  • Declarative window, button, layout, and input field components
  • Vstack, HStack, ZStack, and Grid layout containers
  • Quantum-aware components (QuantumVisualization, etc.)
  • Mystical computing features (numerology displays, sacred geometry viewers)
  • ChakraLayout and TachyonFieldView for mystical interfaces
  • Comprehensive documentation in docs/GUI_ABSTRACTIONS.md

2. 'nymya' Executable with Compilation System

  • Compiles NymyaLang code via nymyac behind the scenes
  • Saves compiled executables in hidden temp folder
  • Provides seamless execution interface
  • Temporary file management system

3. Aya Nymya Test App - Jupyter-like Interface

  • Jupyter-like interface with blocks for Markdown, HTML, and NymyaLang
  • Syntax highlighting for NymyaLang
  • Interactive execution via 'nymya' executable
  • Sample content demonstrating numerology, sacred geometry, quantum modules

4. Enhanced Symbolic Mathematics (from v0.2.0-alpha2)

  • Expanded Numerology Subsystem (symbolic.numerology)
  • Special Numbers Library (symbolic.special)
  • Prime Number Symbolism (symbolic.primes)
  • Sacred Geometry Mapping Engine (symbolic.sacred_geometry)
  • Repeating Number Classifier (symbolic.repeating)
  • Integration Engine (symbolic.integration)

New Features in v0.2.0-alpha2

1. Expanded Numerology Subsystem (symbolic.numerology)

  • Canonical mapping for numerological meanings (base 1-9, master numbers 11-99)
  • Repeating number sequence detection (111, 222, 333, etc.)
  • Angel number sequences with special meanings
  • Four-digit repeat patterns (1111, 2222, etc.)
  • Advanced reduction techniques and pattern recognition

2. Special Numbers Library (symbolic.special)

  • Cultural constants (42, 108, 420, etc.)
  • Mathematical significance numbers (1729, 144, etc.)
  • Spiritual and symbolic constants (108, 1001, etc.)
  • Prime number special properties
  • Zero-point and quantum baseline meanings

3. Prime Number Symbolism (symbolic.primes)

  • Prime detection and classification (is_prime, prime_class)
  • Twin prime recognition and meaning assignment
  • Mersenne prime identification
  • Prime number symbolic traits and properties
  • Integration with numerology and geometry

4. Sacred Geometry Mapping Engine (symbolic.sacred_geometry)

  • Metatron's Cube with 13-circle structure
  • Star Tetrahedron (Merkaba) with 3-6-9 cycles
  • Flower of Life with 19-circle pattern
  • Seed of Life with 7-circle foundation
  • Tree of Life with 10 sephirot and 22 paths
  • Sri Yantra with 9-triangle convergence
  • Torus Field with self-referential flow
  • Phi Spiral (Golden Ratio) with Fibonacci connections
  • Platonic solids (Tetrahedron, Cube, Octahedron, Dodecahedron, Icosahedron)

5. Repeating Number Classifier (symbolic.repeating)

  • Repeated digit pattern detection (111, 2222, etc.)
  • Palindromic number recognition
  • Mirrored number detection
  • Fibonacci sequence identification
  • Lucas sequence detection
  • Power-of-ten sequence recognition
  • Advanced pattern classification

6. Integration Engine (symbolic.integration)

  • Combined numerology and geometry overlays
  • Multi-layer meaning objects with all compatible traits
  • Pattern collision handling without core overrides
  • Complex symbolic pattern detection:
    • 369 triggering star-tetrahedron overlay
    • 144 triggering flower-of-life resonance
    • 88 triggering torus flow semantics
    • Fibonacci numbers triggering phi-spiral overlays
  • Unified API for all symbolic functions

7. Symbolic API Functions

  • symbolic.get_symbolic(n) - Get comprehensive symbolic analysis
  • symbolic.describe(n) - Human-readable description
  • symbolic.overlays(n) - Get applicable overlays
  • symbolic.comprehensive_analysis(n) - Detailed analysis
  • symbolic.get_all_traits(n) - Extract all symbolic traits

8. Turing Completeness Verification

  • Complete set of programs demonstrating NymyaLang is Turing complete:
    • Conditional branching examples
    • Unbounded looping and recursion implementations
    • Tape/memory-simulated structures
    • Universal computation patterns (register machine, lambda calculus)
    • Nontrivial computational tests (prime number computation)

9. Killer Demo: Quantum-Enhanced Hybrid Classifier with Symbolic Mathematics

  • Demonstrates the language's hybrid classical and quantum design
  • Implements quantum random number generation
  • Features quantum circuit simulation
  • Includes quantum feature mapping and quantum-enhanced classification
  • Integrates symbolic mathematics with quantum operations
  • Shows Fibonacci numerology with quantum states
  • Full working example at tests/killer_demo.nym

10. Enhanced Quantum Simulator

  • Complete tensor product implementation for accurate quantum gate simulation
  • Proper single, two, and three-qubit gate computations
  • Fixed quantum circuit simulation with mathematically correct tensor products
  • Improved measurement and state vector operations

11. Improved Math Library

  • Added math.pow_int for safe integer exponentiation
  • Added math.gcd for integer greatest common divisor
  • Enhanced mathematical functions with proper implementation

12. Functional Compiler Implementation

  • Tokenizer/lexer for parsing .nym files
  • Parser with AST generation
  • Basic code generation pipeline
  • Proper error handling and reporting

13. AI/ML Library (ml)

  • Tensor Operations: Multi-dimensional array computations
  • Neural Networks: Layered architectures with activation functions
  • Classical ML: Loss functions, training utilities, data processing
  • Quantum Machine Learning: Variational quantum classifiers, quantum neural networks
  • Quantum SVM: Quantum Support Vector Machine implementations

14. Quantum ML Algorithms (ml.quantum_ml)

  • Parameterized Quantum Circuits: Trainable quantum circuits
  • Variational Quantum Classifiers: Quantum-enhanced classification
  • Quantum Neural Layers: Quantum processing elements
  • Quantum Feature Maps: Data encoding in quantum states

15. Advanced Mathematical Functions (math.hypercalc)

  • Hypercalc Functions: Advanced mathematical operations with special case handling
  • Complex Number Operations: Proper complex arithmetic
  • High-Precision Calculations: Enhanced numerical computations
  • Special Mathematical Functions: Gamma, trigonometric, exponential functions

16. Quantum Networking (networking.quantum)

  • Quantum Entanglement: Establishment and maintenance
  • Quantum Field Communication: Multi-node quantum communication
  • Non-Local Transmission: Quantum communication principles
  • Quantum Channel Operations: Secure quantum communication channels

17. Classical Networking (networking.classical)

  • Ping and Latency: Network connectivity testing
  • Bandwidth Measurement: Download/upload speed assessment
  • Subnet Operations: Network scanning and management
  • Port Operations: Port scanning and TCP connections

18. Low-Level Operations (lowlevel)

  • Bit Manipulation: Advanced bitwise operations
  • Memory Operations: Direct memory access and management
  • Register Operations: CPU register simulation
  • Utility Functions: Endian conversion, alignment, power-of-two operations

19. DateTime Operations (datetime)

  • Temporal Operations: Calendar and time manipulation
  • Timezone Handling: Multi-zone time management
  • Interval Calculations: Duration and time difference operations
  • Format Conversion: ISO 8601 and other temporal formats

Build Instructions

Prerequisites

  • Rust and Cargo
  • C/C++ compiler with GMP library support
  • Quantum simulator libraries (for quantum operations)

Building the Compiler

cd nymyac
cargo build --release

Compiling NymyaLang Programs

./target/release/nymyac input.nym -o output_executable

Usage Examples

Classical Machine Learning

import ml
import ml.classical
import crystal

func example() -> Void {
    // Create neural network
    var nn = ml.classical.NeuralNetwork()
    
    // Add layers
    var layer1 = ml.classical.Layer(4, 8, "relu")  // 4 inputs, 8 hidden, ReLU activation
    var layer2 = ml.classical.Layer(8, 2, "sigmoid")  // 8 inputs, 2 outputs, sigmoid activation
    
    nn.add_layer(layer1)
    nn.add_layer(layer2)
    
    // Create input tensor
    var input = ml.classical.Tensor(1, 4)
    input.set_value(0, 0, 0.5)
    input.set_value(0, 1, 0.3)
    input.set_value(0, 2, 0.8)
    input.set_value(0, 3, 0.1)
    
    // Run prediction
    var output = nn.predict(input)
    crystal.manifest("Prediction output: " + output.get_value(0, 0))
}

Quantum Machine Learning

import ml
import ml.quantum_ml
import crystal

func qml_example() -> Void {
    // Create quantum variational classifier
    var qvc = ml.quantum_ml.VariationalClassifier(3, 2)  // 3 qubits, 2 classes
    
    // Input data
    var input_data = [0.7, 0.2, 0.9]  // 3-dimensional input
    
    // Get prediction
    var result = qvc.forward(input_data)
    var class_prediction = qvc.predict(input_data)
    
    crystal.manifest("QVC outputs: [" + result.join(", ") + "]")
    crystal.manifest("Predicted class: " + class_prediction)
}

Quantum Networking

import networking
import networking.quantum
import crystal

func quantum_communication() -> Void {
    // Establish quantum entanglement between nodes
    var entangle_id = networking.quantum.establish_entanglement("NodeA", "NodeB")
    crystal.manifest("Entanglement ID: " + entangle_id)
    
    // Send quantum data non-locally
    var success = networking.quantum.quantum_nonlocal_send("Quantum message", "NodeB")
    crystal.manifest("Quantum transmission success: " + success.to_string())
}

Enhanced Tag System (@-tags)

NymyaLang now includes a sophisticated @-tag system inspired by Taygetan linguistic principles. These annotations provide semantic metadata for functions, classes, and modules while maintaining full backward compatibility:

@geometric_model
@consciousness_aware
@3d_structure
class StarTetrahedron {
    // Represents a 3D star tetrahedron with consciousness-aware properties
    // Tags provide immediate semantic context about the class purpose
}

@astronomical
@coordinate_transformation
@quantum_astronomy
func spherical_to_cartesian(ra_deg: Float, dec_deg: Float, distance: Float) -> Point3D {
    // Converts celestial coordinates with quantum-astronomical awareness
}

Core Tag Categories:

  • Consciousness Tags: @nymya, @shira, @nora, @rita, @rupa - Reflecting universal consciousness principles
  • Astronomical Tags: @astronomical, @celestial_navigation, @stellar_mapping - For space-related computations
  • Technical Tags: @file_operation, @3d_export, @quantum_coherent - For technical functionality categorization
  • Structural Tags: @geometric_model, @model_factory, @creation - For organizational structure

The @-tag system embodies the Taygetan principle that technology should serve consciousness, encouraging developers to consider the broader implications of their code through meaningful annotations.

Contributing

The NymyaLang ecosystem welcomes contributions that maintain the Rita-Nora balance and consciousness-aware computational principles. All contributions should include appropriate documentation and testing.

License

This project follows the principles of open, consciousness-aware development aligned with the foundational NymyaLang philosophy: "Shira yo sela lora en nymya".


New in v0.2.1: Enhanced with Taygetan-inspired @-tag system for semantic metadata, improved file I/O capabilities, and expanded 3D visualization and printing functionality.

Built with consciousness awareness and quantum precision *~ Nymessence Development Team*