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import numpy as np
import scipy.linalg
import scipy.stats

def ks_key(X):
    '''Estimate the key from a pitch class distribution
    
    Parameters
    ----------
    X : np.ndarray, shape=(12,)

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#!/usr/bin/env python
'''Compute VGGish features for a batch of files'''

import argparse

import os
import sys

import librosa
import pandas as pd

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import numpy as np
import librosa

def load_audio(filename, **kwargs):
    y, sr = librosa.load(filename, sr=22050, mono=True, **kwargs)
    y = librosa.util.normalize(y) * 256
    return y[np.newaxis, :, np.newaxis]

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In [1]: import numpy as np

In [2]: import json

In [3]: json.dumps(np.float64(2.0))
Out[3]: '2.0'

In [4]: json.dumps(np.float32(2.0))
---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)

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