Python module with Numpy BitGenerator to integrate with np.random, and other Python use.

This commit is contained in:
2023-10-28 18:42:34 +00:00
parent a4b75a3bfe
commit b4fd8c29ff
2 changed files with 102 additions and 0 deletions
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from pathlib import Path
from typing import Any
import cffi
src = Path(__file__).parent.parent / "src"
if not src.is_dir():
raise RuntimeError("Unable to find RandQuik C sources in {src}")
ffi = cffi.FFI()
ffi.cdef(
"""
typedef struct cha_ctx { uint32_t input[16]; } cha_ctx;
int cha_generate(uint8_t* out, uint64_t outlen, const uint8_t key[32], const uint8_t iv[16]);
void cha_init(cha_ctx* ctx, const uint8_t* key, const uint8_t* iv);
void cha_wipe(cha_ctx* ctx);
int cha_update(cha_ctx* ctx, uint8_t* out, uint64_t outlen);
"""
)
lib = ffi.dlopen("../build/librandquik-chacha20.so")
def _processKeys(key, iv):
if len(key) != 32:
raise ValueError("key must be 32 bytes")
if len(iv) != 16:
raise ValueError(
"iv must be full 16 bytes, starting with the counter - usually zeroes - followed by nonce"
)
return ffi.from_buffer(key), ffi.from_buffer(iv)
def _processBuffer(out):
if not out:
raise ValueError("Output buffer of non-zero size is required")
try:
outlen = out.nbytes
except AttributeError:
out = memoryview(out)
outlen = out.nbytes
if getattr(out, "readonly", None):
raise ValueError("The output buffer must be writable, not e.g. `bytes`")
return ffi.from_buffer(out), outlen
class Cha:
def __init__(self, key: bytes | Any, iv: bytes | Any):
"""Construct a generator that holds its internal state, moving forward on each call."""
key, iv = _processKeys(key, iv)
self.ctx = ffi.new("cha_ctx*")
lib.cha_init(self.ctx, key, iv)
def __del__(self):
lib.cha_wipe(self.ctx)
def __call__(self, out: bytearray | Any):
"""Fill the parameter with random bytes"""
out, outlen = _processBuffer(out)
lib.cha_update(self.ctx, out, outlen)
return out
def generate(out: bytearray | Any, key: bytes | Any, iv: bytes | Any):
"""Setup a generator, fill the out buffer and dispose the generator"""
key, iv =_processKeys(key, iv)
out, outlen = _processBuffer(out)
lib.cha_generate(out, outlen, key, iv)
return out