From 350707469856815f6fae35fb5c205f0296718fcb Mon Sep 17 00:00:00 2001
From: imonlinux <39863321+imonlinux@users.noreply.github.com>
Date: Mon, 17 Nov 2025 20:12:04 -0800
Subject: [PATCH] Delete linux_voice_assistant/wakeword.py

---
 linux_voice_assistant/wakeword.py | 89 -------------------------------
 1 file changed, 89 deletions(-)
 delete mode 100644 linux_voice_assistant/wakeword.py

diff --git a/linux_voice_assistant/wakeword.py b/linux_voice_assistant/wakeword.py
deleted file mode 100644
index ae9f40e..0000000
--- a/linux_voice_assistant/wakeword.py
+++ /dev/null
@@ -1,89 +0,0 @@
-"""Base class for wake words."""
-
-import ctypes as C
-import os
-from pathlib import Path
-from typing import Union
-
-TfLiteStatus = C.c_int  # kTfLiteOk == 0
-
-
-class TfLiteQuantizationParams(C.Structure):
-    _fields_ = [("scale", C.c_float), ("zero_point", C.c_int32)]
-
-
-c_void_p = C.c_void_p
-c_int32 = C.c_int32
-c_size_t = C.c_size_t
-
-
-def _not_null(result, func, args):
-    if not result:
-        raise RuntimeError(f"{func.__name__} returned NULL")
-    return result
-
-
-class TfLiteWakeWord:
-    def __init__(self, libtensorflowlite_c_path: Union[str, Path]):
-        self.libtensorflowlite_c_path = Path(libtensorflowlite_c_path)
-        # Load ONCE with RTLD_GLOBAL
-        self.lib = C.CDLL(
-            str(self.libtensorflowlite_c_path.resolve()), mode=os.RTLD_GLOBAL
-        )
-
-        lib = self.lib
-
-        # Model / Interpreter
-        lib.TfLiteModelCreateFromFile.argtypes = [C.c_char_p]
-        lib.TfLiteModelCreateFromFile.restype = c_void_p
-
-        lib.TfLiteInterpreterCreate.argtypes = [c_void_p, c_void_p]
-        lib.TfLiteInterpreterCreate.restype = c_void_p
-
-        lib.TfLiteInterpreterAllocateTensors.argtypes = [c_void_p]
-        lib.TfLiteInterpreterAllocateTensors.restype = TfLiteStatus
-
-        lib.TfLiteInterpreterInvoke.argtypes = [c_void_p]
-        lib.TfLiteInterpreterInvoke.restype = TfLiteStatus
-
-        # Tensors: get
-        lib.TfLiteInterpreterGetInputTensor.argtypes = [c_void_p, c_int32]
-        lib.TfLiteInterpreterGetInputTensor.restype = c_void_p
-        lib.TfLiteInterpreterGetInputTensor.errcheck = _not_null
-
-        lib.TfLiteInterpreterGetOutputTensor.argtypes = [c_void_p, c_int32]
-        lib.TfLiteInterpreterGetOutputTensor.restype = c_void_p
-        lib.TfLiteInterpreterGetOutputTensor.errcheck = _not_null
-
-        # Sizes / dims
-        lib.TfLiteTensorByteSize.argtypes = [c_void_p]
-        lib.TfLiteTensorByteSize.restype = c_size_t
-
-        lib.TfLiteTensorNumDims.argtypes = [c_void_p]
-        lib.TfLiteTensorNumDims.restype = c_int32
-
-        lib.TfLiteTensorDim.argtypes = [c_void_p, c_int32]
-        lib.TfLiteTensorDim.restype = c_int32
-
-        # Type & quant params
-        lib.TfLiteTensorType.argtypes = [c_void_p]
-        lib.TfLiteTensorType.restype = c_int32
-
-        lib.TfLiteTensorQuantizationParams.argtypes = [c_void_p]
-        lib.TfLiteTensorQuantizationParams.restype = TfLiteQuantizationParams
-
-        # Resize
-        lib.TfLiteInterpreterResizeInputTensor.argtypes = [
-            c_void_p,
-            c_int32,
-            C.POINTER(c_int32),
-            c_int32,
-        ]
-        lib.TfLiteInterpreterResizeInputTensor.restype = TfLiteStatus
-
-        # Copy buffers
-        lib.TfLiteTensorCopyFromBuffer.argtypes = [c_void_p, c_void_p, c_size_t]
-        lib.TfLiteTensorCopyFromBuffer.restype = TfLiteStatus
-
-        lib.TfLiteTensorCopyToBuffer.argtypes = [c_void_p, c_void_p, c_size_t]
-        lib.TfLiteTensorCopyToBuffer.restype = TfLiteStatus