jamie@88: #!/usr/bin/python
jamie@88: 
jamie@92: try:
jamie@127:     import libxtract.xtract as xtract
jamie@92: except ImportError:
jamie@103:     print 'Failed to load the library "xtract"'
jamie@92: 
jamie@92: print '\nRunning libxtract Python bindings test...\n'
jamie@88: 
jamie@103: len = 8
jamie@88: 
jamie@154: a = xtract.doubleArray(len)
jamie@92: temp = []
jamie@88: 
jamie@88: for i in range(0, len):
jamie@88:     a[i] = 2 * i
jamie@92:     temp.append(str(a[i]))
jamie@88: 
jamie@110: mean = xtract.xtract_mean(a,len,None)[1]
jamie@110: 
jamie@110: print 'The mean of ' + ', '.join(temp) + ' is: %.2f' % mean
jamie@110: 
jamie@154: argv = xtract.doubleArray(1)
jamie@110: argv[0] = mean
jamie@110: 
jamie@110: variance = xtract.xtract_variance(a, len, argv)[1]
jamie@110: 
jamie@110: print 'The variance is %.2f' % variance
jamie@88: 
jamie@103: print 'Computing spectrum...'
jamie@103: 
jamie@154: argv = xtract.doubleArray(1)
jamie@103: argv[0] = 44100.0 / len  # Fake sample rate
jamie@103: 
jamie@103: xtract.xtract_init_fft(len, xtract.XTRACT_SPECTRUM);
jamie@103: 
jamie@154: result = xtract.doubleArray(len)
jamie@103: 
jamie@103: xtract.xtract_spectrum(a,len,argv, result)
jamie@103: 
jamie@103: 
jamie@103: for i in range(len):
jamie@103:     print result[i]
jamie@103: 
jamie@109: 
jamie@109: print 'Computing windowed subframes...'
jamie@109: 
jamie@109: for i in range(0, len):
jamie@109:     a[i] = 1.0
jamie@109: 
jamie@109: window = xtract.xtract_init_window(len / 2, xtract.XTRACT_HANN)
jamie@109: xtract.xtract_features_from_subframes(a, len, xtract.XTRACT_WINDOWED, window, result) 
jamie@109: 
jamie@109: for i in range(len):
jamie@109:     print result[i]
jamie@109: 
jamie@92: print '\nFinished!\n'