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feat: add Cython acceleration support
- _accel.pyx: Cython-accelerated core functions (xor, scaling) - accel.py: Auto-fallback wrapper (uses Python if Cython not built) - setup.py: Build script for Cython extension - pyproject.toml: Added [cython] optional dependency To enable: pip install -e '.[cython]' && python setup.py build_ext --inplace
1 parent fa17a5e commit b4b6290

4 files changed

Lines changed: 554 additions & 7 deletions

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pyproject.toml

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@@ -44,7 +44,6 @@ dependencies = [
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"psutil>=5.8.0",
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]
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[project.optional-dependencies]
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dev = [
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"pytest>=7.0",
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"pytest-cov>=4.0",
@@ -55,21 +54,25 @@ dev = [
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"types-requests",
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"types-psutil",
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]
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cython = [
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"cython>=3.0",
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"setuptools>=65.0",
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]
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docs = [
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"mkdocs>=1.5",
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"mkdocs-material>=9.0",
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"mkdocstrings[python]>=0.24",
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]
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all = [
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"trueentropy[dev,docs]",
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"trueentropy[dev,docs,cython]",
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]
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[project.urls]
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Homepage = "https://github.com/trueentropy/trueentropy"
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Documentation = "https://trueentropy.github.io/trueentropy"
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Repository = "https://github.com/trueentropy/trueentropy"
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Issues = "https://github.com/trueentropy/trueentropy/issues"
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Changelog = "https://github.com/trueentropy/trueentropy/blob/main/CHANGELOG.md"
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Homepage = "https://github.com/medeirosdev/TrueEntropy-PyLib"
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Documentation = "https://github.com/medeirosdev/TrueEntropy-PyLib#readme"
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Repository = "https://github.com/medeirosdev/TrueEntropy-PyLib"
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Issues = "https://github.com/medeirosdev/TrueEntropy-PyLib/issues"
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Changelog = "https://github.com/medeirosdev/TrueEntropy-PyLib/blob/main/CHANGELOG.md"
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[tool.hatch.build.targets.wheel]
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packages = ["src/trueentropy"]

setup.py

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"""
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TrueEntropy - Setup Script for Cython Extension
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This script builds the Cython-accelerated extension module.
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Usage:
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# Build in-place for development
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python setup.py build_ext --inplace
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# Or install with Cython support
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pip install -e ".[cython]"
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"""
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import os
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import sys
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from pathlib import Path
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# Try to import Cython and setuptools
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try:
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from Cython.Build import cythonize
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from setuptools import setup, Extension
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CYTHON_AVAILABLE = True
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except ImportError:
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CYTHON_AVAILABLE = False
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from setuptools import setup
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def get_extensions():
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"""Get the list of Cython extensions to build."""
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if not CYTHON_AVAILABLE:
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print("Cython not available. Skipping extension build.")
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return []
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# Find the .pyx file
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src_dir = Path(__file__).parent / "src" / "trueentropy"
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pyx_file = src_dir / "_accel.pyx"
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if not pyx_file.exists():
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print(f"Warning: {pyx_file} not found. Skipping extension build.")
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return []
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extensions = [
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Extension(
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"trueentropy._accel",
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sources=[str(pyx_file)],
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extra_compile_args=["-O3"] if sys.platform != "win32" else ["/O2"],
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)
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]
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return cythonize(
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extensions,
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compiler_directives={
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"language_level": "3",
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"boundscheck": False,
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"wraparound": False,
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"cdivision": True,
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}
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)
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if __name__ == "__main__":
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# This script is only for building extensions
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# Full package installation is handled by pyproject.toml
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setup(
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name="trueentropy-accel",
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ext_modules=get_extensions(),
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)

src/trueentropy/_accel.pyx

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# cython: language_level=3
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# cython: boundscheck=False
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# cython: wraparound=False
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# cython: cdivision=True
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"""
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TrueEntropy - Cython Accelerated Core Functions
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This module provides Cython-accelerated versions of performance-critical
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functions in TrueEntropy. The speedup comes from:
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1. Static typing - No Python object overhead
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2. Direct C memory access - No bounds checking
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3. Native C operations - No Python interpreter overhead
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To build:
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pip install cython
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python setup.py build_ext --inplace
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Or with pip:
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pip install -e ".[cython]"
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"""
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from libc.stdlib cimport malloc, free
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from libc.string cimport memcpy
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from cpython.bytes cimport PyBytes_FromStringAndSize
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import struct
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# =============================================================================
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# Fast Byte Operations
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# =============================================================================
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def xor_bytes_fast(bytes data, bytes key):
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"""
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Fast XOR of two byte strings using C-level operations.
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This is ~10-50x faster than the pure Python version for large inputs.
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Args:
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data: The data to XOR
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key: The key (will be repeated if shorter than data)
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Returns:
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XOR'd bytes
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"""
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cdef:
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Py_ssize_t data_len = len(data)
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Py_ssize_t key_len = len(key)
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unsigned char* result
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const unsigned char* d = data
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const unsigned char* k = key
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Py_ssize_t i
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if data_len == 0:
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return b""
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if key_len == 0:
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return data
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result = <unsigned char*>malloc(data_len)
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if result == NULL:
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raise MemoryError("Failed to allocate memory")
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try:
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for i in range(data_len):
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result[i] = d[i] ^ k[i % key_len]
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return PyBytes_FromStringAndSize(<char*>result, data_len)
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finally:
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free(result)
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def bytes_to_int_fast(bytes data):
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"""
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Convert bytes to integer using C-level operations.
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Args:
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data: Bytes to convert (big-endian)
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Returns:
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Integer value
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"""
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cdef:
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Py_ssize_t n = len(data)
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const unsigned char* d = data
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unsigned long long result = 0
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Py_ssize_t i
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# Handle up to 8 bytes (64 bits)
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if n > 8:
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n = 8
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for i in range(n):
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result = (result << 8) | d[i]
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return result
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def int_to_bytes_fast(unsigned long long value, int length):
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"""
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Convert integer to bytes using C-level operations.
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Args:
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value: Integer to convert
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length: Number of bytes in output
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Returns:
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Big-endian bytes
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"""
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cdef:
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unsigned char* result
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int i
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result = <unsigned char*>malloc(length)
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if result == NULL:
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raise MemoryError("Failed to allocate memory")
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try:
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for i in range(length - 1, -1, -1):
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result[i] = value & 0xFF
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value >>= 8
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return PyBytes_FromStringAndSize(<char*>result, length)
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finally:
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free(result)
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# =============================================================================
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# Fast Random Number Scaling
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# =============================================================================
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def scale_to_range_fast(unsigned long long value, int a, int b):
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"""
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Scale a random value to a range [a, b] with rejection sampling.
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This avoids modulo bias by rejecting values outside the valid range.
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Args:
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value: Random value (0 to 2^64-1)
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a: Lower bound (inclusive)
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b: Upper bound (inclusive)
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Returns:
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Tuple of (scaled_value, needs_retry)
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"""
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cdef:
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unsigned long long range_size
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unsigned long long threshold
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int bits_needed
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unsigned long long mask
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unsigned long long scaled
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if a > b:
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raise ValueError("a must be <= b")
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if a == b:
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return (a, False)
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range_size = <unsigned long long>(b - a + 1)
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# Calculate bits needed
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bits_needed = 0
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temp = range_size - 1
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while temp > 0:
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bits_needed += 1
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temp >>= 1
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# Create mask
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mask = (1ULL << bits_needed) - 1
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# Apply mask
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scaled = value & mask
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# Check if in range
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if scaled < range_size:
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return (a + <int>scaled, False)
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else:
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return (0, True) # Needs retry
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def uniform_float_fast(unsigned long long value):
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"""
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Convert 64-bit integer to float in [0.0, 1.0).
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Args:
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value: 64-bit random value
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Returns:
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Float in [0.0, 1.0)
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"""
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# 2^64 = 18446744073709551616
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return <double>value / 18446744073709551616.0
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# =============================================================================
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# Fast Fisher-Yates Shuffle (indices only)
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# =============================================================================
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def fisher_yates_indices(int n, random_func):
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"""
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Generate Fisher-Yates shuffle indices.
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Args:
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n: Length of sequence to shuffle
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random_func: Function that returns random int in range [0, i]
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Returns:
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List of swap pairs [(i, j), ...]
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"""
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cdef:
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int i, j
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list swaps = []
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for i in range(n - 1, 0, -1):
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j = random_func(0, i)
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if i != j:
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swaps.append((i, j))
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return swaps
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# =============================================================================
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# Module Info
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# =============================================================================
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def is_accelerated():
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"""Check if Cython acceleration is available."""
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return True
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def get_version():
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"""Get Cython module version."""
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return "1.0.0"

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