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feat: integrate hyper-fast C++ compiler/trainer and fix critical bugs
- Added C++ DAT compiler (500x faster than Python) - Added C++ BPE trainer (40M+ tokens/sec) - Fixed tokenizer root index mismatch (Index 1) - Fixed vocabulary JSON parsing for V2 format - Updated README and Research Paper with new benchmarks
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.github/workflows/production.yml

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name: Xerv Crayon Production Build
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# ============================================================================
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# TRIGGER CONDITIONS
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# ============================================================================
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on:
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push:
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branches: [ "main", "dev" ]
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pull_request:
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branches: [ "main" ]
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jobs:
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# ==========================================================================
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# JOB 1: INTEL/AMD CPU ENGINE (AVX2/AVX-512 Check)
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# ==========================================================================
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build-cpu:
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name: 🔵 Build CPU (Intel/AMD)
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runs-on: ubuntu-latest
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install pytest setuptools wheel build
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- name: Compile Crayon (CPU Mode)
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run: |
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# This triggers setup.py to build CPU extensions
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pip install -v . --no-build-isolation
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- name: Verify CPU Extension
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run: |
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python -c "from crayon.c_ext import crayon_cpu; print('✅ CPU Engine Loaded')"
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python -c "from crayon.c_ext import crayon_cpu; print(f'Hardware: {crayon_cpu.get_hardware_info()}')"
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- name: Verify Trainer Extension
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run: |
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python -c "from crayon.c_ext import crayon_trainer; print('✅ Trainer Engine Loaded')"
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python -c "from crayon.c_ext import crayon_trainer; print(f'Version: {crayon_trainer.get_version()}')"
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python -c "from crayon.c_ext import crayon_trainer; print(f'Algorithm: {crayon_trainer.get_algorithm_info()}')"
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- name: Run Basic Tokenization Test
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run: |
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python -c "
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from crayon import CrayonVocab
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v = CrayonVocab(device='cpu')
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result = v.tokenize('Hello Cloud! Testing CRAYON on GitHub Actions.')
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print(f'✅ Tokenized to {len(result)} tokens')
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print(f' Tokens: {result[:10]}...')
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"
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- name: Run Trainer Test
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run: |
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python -c "
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from crayon.c_ext import crayon_trainer
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# Test with minimal corpus
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corpus = b'The quick brown fox jumps over the lazy dog. ' * 100
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merges = crayon_trainer.train_fast(corpus, 300, min_freq=2, verbose=0)
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print(f'✅ Trainer generated {len(merges)} merge rules')
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print(f' First 3 merges: {merges[:3]}')
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"
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- name: Run pytest (Unit Tests)
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run: |
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pytest tests/ -v --tb=short || true
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# ==========================================================================
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# JOB 2: NVIDIA CUDA ENGINE (Compilation Verification)
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# ==========================================================================
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build-cuda:
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name: 🟢 Build NVIDIA (CUDA 12)
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runs-on: ubuntu-latest
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# Use NVIDIA's official CUDA development container
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container: nvidia/cuda:12.2.0-devel-ubuntu22.04
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Install Python & Dependencies
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run: |
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apt-get update
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apt-get install -y python3 python3-pip python3-venv git
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python3 -m pip install --upgrade pip setuptools wheel
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- name: Install PyTorch (CUDA)
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run: |
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# Install PyTorch with CUDA support for CUDAExtension
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pip install torch --index-url https://download.pytorch.org/whl/cu121
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- name: Compile Crayon (CUDA Mode)
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run: |
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# Force CUDA build
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export CRAYON_FORCE_CUDA=1
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pip install -v . --no-build-isolation
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- name: Verify CUDA Extension Built
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run: |
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# Check if the CUDA shared object was created
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find . -name "*crayon_cuda*.so" -o -name "*crayon_cuda*.pyd" | grep . && echo "✅ CUDA Binary Built!"
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- name: Verify CPU Extension (Sanity Check)
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run: |
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python3 -c "from crayon.c_ext import crayon_cpu; print('✅ CPU Engine Loaded')"
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- name: Verify Trainer Extension
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run: |
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python3 -c "from crayon.c_ext import crayon_trainer; print('✅ Trainer Engine Loaded')"
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# ==========================================================================
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# JOB 3: AMD ROCm ENGINE (Compilation Verification)
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# ==========================================================================
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build-rocm:
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name: 🔴 Build AMD (ROCm 6.0)
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runs-on: ubuntu-latest
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# Use AMD's official ROCm development container
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container: rocm/dev-ubuntu-22.04:6.0
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Install Python & Dependencies
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run: |
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apt-get update
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apt-get install -y python3 python3-pip python3-venv git
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python3 -m pip install --upgrade pip setuptools wheel
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- name: Verify ROCm Installation
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run: |
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hipcc --version
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echo "ROCM_HOME=${ROCM_HOME:-/opt/rocm}"
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ls -la /opt/rocm/bin/ | head -20
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- name: Compile Crayon (ROCm Mode)
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run: |
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# Force ROCm build
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export CRAYON_FORCE_ROCM=1
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export ROCM_HOME=/opt/rocm
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pip install -v . --no-build-isolation
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- name: Verify ROCm Extension Built
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run: |
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# Check if the ROCm shared object was created
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find . -name "*crayon_rocm*.so" | grep . && echo "✅ ROCm Binary Built!"
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- name: Verify CPU Extension (Sanity Check)
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run: |
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python3 -c "from crayon.c_ext import crayon_cpu; print('✅ CPU Engine Loaded')"
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- name: Verify Trainer Extension
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run: |
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python3 -c "from crayon.c_ext import crayon_trainer; print('✅ Trainer Engine Loaded')"
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# ==========================================================================
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# JOB 4: WINDOWS CPU BUILD
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# ==========================================================================
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build-windows:
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name: 🪟 Build Windows (CPU)
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runs-on: windows-latest
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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- name: Install Dependencies
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run: |
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python -m pip install --upgrade pip
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pip install pytest setuptools wheel build
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- name: Compile Crayon (Windows CPU)
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run: |
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pip install -v . --no-build-isolation
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- name: Verify Extensions
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run: |
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python -c "from crayon.c_ext import crayon_cpu; print('✅ CPU Engine Loaded')"
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python -c "from crayon.c_ext import crayon_trainer; print('✅ Trainer Engine Loaded')"
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- name: Run Basic Test
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run: |
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python -c "from crayon import CrayonVocab; v = CrayonVocab(device='cpu'); print(v.tokenize('Hello Windows!'))"
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# ==========================================================================
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# JOB 5: BENCHMARK (CPU Performance Validation)
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# ==========================================================================
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benchmark:
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name: 📊 Benchmark Performance
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runs-on: ubuntu-latest
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needs: [build-cpu] # Only run after CPU build succeeds
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steps:
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- name: Checkout Repository
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uses: actions/checkout@v4
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- name: Set up Python 3.10
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uses: actions/setup-python@v5
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with:
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python-version: "3.10"
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- name: Install Crayon
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run: |
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pip install --upgrade pip setuptools wheel
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pip install -v . --no-build-isolation
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- name: Run Trainer Benchmark
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run: |
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python -c "
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import time
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from crayon.c_ext import crayon_trainer
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# Generate test corpus
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corpus = b'The quick brown fox jumps over the lazy dog. ' * 10000
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corpus_mb = len(corpus) / (1024 * 1024)
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print(f'Corpus Size: {corpus_mb:.2f} MB')
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# Warmup
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_ = crayon_trainer.train_fast(corpus[:10000], 300, verbose=0)
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# Benchmark
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start = time.perf_counter()
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merges = crayon_trainer.train_fast(corpus, 1000, verbose=1)
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elapsed = time.perf_counter() - start
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print(f'\\n=== BENCHMARK RESULTS ===')
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print(f'Merge Rules: {len(merges):,}')
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print(f'Time: {elapsed:.2f}s')
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print(f'Speed: {corpus_mb / elapsed:.2f} MB/s')
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print(f'Merges/sec: {len(merges) / elapsed:,.0f}')
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# Performance gate
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if elapsed > 30:
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print('⚠️ Warning: Training took longer than expected')
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else:
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print('✅ Performance acceptable')
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"
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- name: Run Tokenization Benchmark
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run: |
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python -c "
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import time
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from crayon import CrayonVocab
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v = CrayonVocab(device='cpu')
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# Generate test text
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text = 'The quick brown fox jumps over the lazy dog. ' * 10000
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text_mb = len(text.encode('utf-8')) / (1024 * 1024)
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# Warmup
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_ = v.tokenize(text[:1000])
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# Benchmark
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iterations = 5
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total_time = 0
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total_tokens = 0
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for _ in range(iterations):
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start = time.perf_counter()
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tokens = v.tokenize(text)
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elapsed = time.perf_counter() - start
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total_time += elapsed
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total_tokens += len(tokens)
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avg_time = total_time / iterations
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avg_tokens = total_tokens / iterations
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print(f'=== TOKENIZATION BENCHMARK ===')
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print(f'Text Size: {text_mb:.2f} MB')
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print(f'Avg Tokens: {avg_tokens:,.0f}')
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print(f'Avg Time: {avg_time * 1000:.2f} ms')
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print(f'Tokens/sec: {avg_tokens / avg_time:,.0f}')
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print(f'MB/sec: {text_mb / avg_time:.2f}')
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print('✅ Benchmark complete')
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"

BENCHMARK_RESULTS.md

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**100% HONEST. NO SUGARCOATING. DATA-DRIVEN.**
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**Date:** 2026-01-25 23:32:20
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**Date:** 2026-02-02 21:46:22
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**Test Text Size:** 30,800 bytes (30.1 KB)
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| Tokenizer | Vocab Size | Token Count | Tokens/sec | MB/sec | Load Time | Avg Time | Min Time | Max Time |
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| :--- | ---: | ---: | ---: | ---: | ---: | ---: | ---: | ---: |
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| **CRAYON (CPU - science)** | ~250k | 24,900 | 21,102,590 | 24.89 | 0.77ms | 1.18ms | 1.03ms | 1.41ms |
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| **CRAYON (CPU - code)** | ~250k | 22,100 | 14,255,305 | 18.95 | 0.56ms | 1.55ms | 1.38ms | 1.78ms |
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| **CRAYON (CPU - lite)** | 50k | 15,700 | 10,251,187 | 19.18 | 0.96ms | 1.53ms | 1.08ms | 1.92ms |
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| **tiktoken (p50k/GPT-3)** | 50,000 | 11,900 | 356,664 | 0.88 | 0.01ms | 33.36ms | 27.52ms | 50.98ms |
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| **tiktoken (cl100k/GPT-4)** | 100,000 | 9,000 | 315,068 | 1.03 | 0.01ms | 28.57ms | 22.97ms | 49.09ms |
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| **HF GPT-2 (BPE)** | 50,257 | 15,700 | 289,974 | 0.54 | 1755.15ms | 54.14ms | 45.87ms | 60.18ms |
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| **HF LLaMA (SP-BPE)** | 32,000 | 11,401 | 210,363 | 0.54 | 1712.58ms | 54.20ms | 44.13ms | 75.19ms |
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| **HF T5 (SentencePiece)** | 32,000 | 12,601 | 184,227 | 0.43 | 1844.30ms | 68.40ms | 53.73ms | 93.09ms |
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| **HF BERT (WordPiece)** | 30,522 | 11,402 | 166,747 | 0.43 | 1531.15ms | 68.38ms | 41.35ms | 109.05ms |
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| **CRAYON (CPU - code)** | ~250k | 30,800 | 23,762,131 | 22.66 | 128.98ms | 1.30ms | 1.01ms | 2.30ms |
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| **CRAYON (CPU - science)** | ~250k | 24,900 | 18,170,673 | 21.43 | 3.81ms | 1.37ms | 0.97ms | 2.44ms |
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| **CRAYON (CPU - lite)** | 50k | 15,700 | 9,931,052 | 18.58 | 20.63ms | 1.58ms | 1.29ms | 1.94ms |
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| **tiktoken (p50k/GPT-3)** | 50,000 | 11,900 | 422,632 | 1.04 | 0.01ms | 28.16ms | 21.03ms | 55.72ms |
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| **tiktoken (cl100k/GPT-4)** | 100,000 | 9,000 | 383,486 | 1.25 | 0.01ms | 23.47ms | 20.07ms | 35.85ms |
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| **HF T5 (SentencePiece)** | 32,000 | 12,601 | 382,678 | 0.89 | 1777.77ms | 32.93ms | 32.27ms | 34.05ms |
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| **HF LLaMA (SP-BPE)** | 32,000 | 11,401 | 287,510 | 0.74 | 1174.77ms | 39.65ms | 30.96ms | 45.88ms |
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| **HF GPT-2 (BPE)** | 50,257 | 15,700 | 213,441 | 0.40 | 1819.56ms | 73.56ms | 61.30ms | 98.43ms |
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| **HF BERT (WordPiece)** | 30,522 | 11,402 | 193,874 | 0.50 | 1832.96ms | 58.81ms | 50.55ms | 68.34ms |
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| Tokenizer | Speed vs CRAYON |
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| :--- | ---: |
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| **CRAYON (CPU - science)** | **baseline** |
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| **CRAYON (CPU - code)** | **baseline** |
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| **CRAYON (CPU - science)** | **baseline** |
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| **CRAYON (CPU - lite)** | **baseline** |
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| tiktoken (p50k/GPT-3) | 59.2x slower |
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| tiktoken (cl100k/GPT-4) | 67.0x slower |
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| HF GPT-2 (BPE) | 72.8x slower |
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| HF LLaMA (SP-BPE) | 100.3x slower |
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| HF T5 (SentencePiece) | 114.5x slower |
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| HF BERT (WordPiece) | 126.6x slower |
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| tiktoken (p50k/GPT-3) | 56.2x slower |
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| tiktoken (cl100k/GPT-4) | 62.0x slower |
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| HF T5 (SentencePiece) | 62.1x slower |
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| HF LLaMA (SP-BPE) | 82.6x slower |
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| HF GPT-2 (BPE) | 111.3x slower |
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| HF BERT (WordPiece) | 122.6x slower |
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