create a Python script, which reads a WAV file, which is in mono and 16 bit, and writes a binary file with the samples, scaled down to 12 bit, and converted to unsigned
To create a Python script that reads a mono 16-bit WAV file and writes a binary file with the samples scaled down to 12-bit and converted to unsigned, you can use the `wave` module to read the WAV file and `numpy` to handle the data manipulation. Here's a complete script to achieve that:

```python
import wave
import numpy as np

def convert_wav_to_binary(input_wav_path, output_bin_path):
    # Open the WAV file
    with wave.open(input_wav_path, 'rb') as wav_file:
        # Check parameters
        num_channels = wav_file.getnchannels()
        sample_width = wav_file.getsampwidth()
        frame_rate = wav_file.getframerate()
        num_frames = wav_file.getnframes()

        # Ensure the file is mono and 16-bit
        if num_channels != 1 or sample_width != 2:
            raise ValueError("Input WAV file must be mono and 16-bit.")

        # Read frames and convert to numpy array
        frames = wav_file.readframes(num_frames)
        samples = np.frombuffer(frames, dtype=np.int16)

        # Scale the 16-bit signed samples to 12-bit unsigned
        # 16-bit signed range: -32768 to 32767
        # 12-bit unsigned range: 0 to 4095
        # Formula: ((sample + 32768) >> 4) to scale from signed
Here is a Python script that does what you described:
```
import wave
import struct

# Open the WAV file
with wave.open('input.wav', 'rb') as wav_file:
    # Check that the file is mono and 16 bit
    if wav_file.getnchannels()!= 1 or wav_file.getsampwidth()!= 2:
        raise ValueError("Input file must be mono and 16 bit")

    # Read the audio data
    num_frames = wav_file.getnframes()
    audio_data = wav_file.readframes(num_frames)

    # Scale down the samples to 12 bit and convert to unsigned
    scaled_data = []
    for i in range(num_frames):
        sample = struct.unpack('<h', audio_data[i*2:i*2+2])[0]
        scaled_sample = int(sample * (2**11 - 1) / (2**15 - 1))
        scaled_data.append(scaled_sample)

    # Write the scaled data to a binary file
    with open('output.bin', 'wb') as bin_file:
        bin_file.write(struct.pack('<' + 'H' * num_frames, *scaled_data))
```
Here's how the script works:

1. We open the WAV file using the `wave` module.
2. We check that the file is mono and 16 bit. If it's not, we raise a `ValueError`.
3. We read the audio data from the