human
I am working on the file "CMSIS/DSP/PythonWrapper/examples/kws_example/kws.ipynb".
The first task is:
The patterns
The below class is representing a Pattern. A pattern can either be a sound file from the TensorFlow Lite examples and in this case we compute the feature and the label id.
The pattern can also be a random white noise. In that case, we also compute the feature and the class id is -1.
Note that when you use the signal property, the speech patterns will return the content of the file but noise patterns will generate a random noise which will thus be different each time.
Can you write Python code for it?
assistant
#Here is Python code to compute the feature and the label id.

class Pattern:
    def __init__(self,p):
        global UNKNOWN_CLASS
        if isinstance(p, str):
            self._isFile=True 
            self._filename=p
            self._label=get_label_id(p)
    
            data, samplerate = sf.read(self._filename)
            self._feature = feature(data)
        else:
            self._isFile=False
            self._noiseLevel=p
            self._label=UNKNOWN_CLASS
            
            noise=np.random.randn(16000)*p
            self._feature=feature(noise)
            
    @property
    def label(self):
        return(self._label)
            
    @property
    def feature(self):
        return(self._feature)
        
        
    # Only useful for plotting
    # The random pattern will be different each time
    @property
    def signal(self):
        if not self._isFile:
            return(np.random.randn(16000)*self._noiseLevel)
        else:
            data, samplerate = sf.read(self._filename)
            return(data)