algorithms/asa.py
def _lookup_offset_by_onset_idx(onset_idx, onsets, offsets):
    """
    Takes an onset index (freq, sample) and returns the offset index (freq, sample)
    such that frequency index is the same, and sample index is the minimum of all
    offsets ocurring after the given onset. If there are no offsets after the given
    onset in that frequency channel, the final sample in that channel is returned.
    """
    assert len(onset_idx) == 2, "Onset_idx must be a tuple of the form (freq_idx, sample_idx)"
    frequency_idx, sample_idx = onset_idx
    offset_sample_idxs = np.reshape(np.where(offsets[frequency_idx, :] == 1), (-1,))
    # get the offsets which occur after onset
    offset_sample_idxs = offset_sample_idxs[offset_sample_idxs > sample_idx]
    if len(offset_sample_idxs) == 0:
        # There is no offset in this frequency that occurs after the onset, just return the last sample
        chosen_offset_sample_idx = offsets.shape[1] - 1
        assert offsets[frequency_idx, chosen_offset_sample_idx] == 0
    else:
        # Return the closest offset to the onset
        chosen_offset_sample_idx = offset_sample_idxs[0]
        assert offsets[frequency_idx, chosen_offset_sample_idx] != 0
    return frequency_idx, chosen_offset_sample_idx
def _lookup_offset_by_onset_idx(onset_idx, onsets, offsets):
    """
    Takes an onset index (freq, sample) and returns the offset index (freq, sample)
    such that frequency index is the same, and sample index is the minimum of all
    offsets ocurring after the given onset. If there are no offsets after the given
    onset in that frequency channel, the final sample in that channel is returned.
    """
    assert len(onset_idx) == 2, "Onset_idx must be a tuple of the form (freq_idx, sample_idx)"
    frequency_idx, sample_idx = onset_idx
    offset_sample_idxs = np.reshape(np.where(offsets[frequency_idx, :] == 1), (-1,))
    # get the offsets which occur after onset
    offset_sample_idxs = offset_sample_idxs[offset_sample_idxs > sample_idx]
    if len(offset_sample_idxs) == 0:
        # There is no offset in this frequency that occurs after the onset, just return the last sample
        chosen_offset_sample_idx = offsets.shape[1] - 1
        assert offsets[frequency_idx, chosen_offset_sample_idx] == 0
    else:
        # Return the closest offset to the onset
        chosen_offset_sample_idx = offset_sample_idxs[0]
        assert offsets[frequency_idx, chosen_offset_sample_idx] != 0
    return frequency_idx, chosen_offset_sample_idx
def _lookup_offset_by_onset_idx ( onset_idx , onsets , offsets ) : assert len ( onset_idx ) == 2 , "Onset_idx must be a tuple of the form (freq_idx, sample_idx)" frequency_idx , sample_idx = onset_idx offset_sample_idxs = np . reshape ( np . where ( offsets [ frequency_idx , : ] == 1 ) , ( - 1 , ) ) # get the offsets which occur after onset offset_sample_idxs = offset_sample_idxs [ offset_sample_idxs > sample_idx ] if len ( offset_sample_idxs ) == 0 : # There is no offset in this frequency that occurs after the onset, just return the last sample chosen_offset_sample_idx = offsets . shape [ 1 ] - 1 assert offsets [ frequency_idx , chosen_offset_sample_idx ] == 0 else : # Return the closest offset to the onset chosen_offset_sample_idx = offset_sample_idxs [ 0 ] assert offsets [ frequency_idx , chosen_offset_sample_idx ] != 0 return frequency_idx , chosen_offset_sample_idx
Takes an onset index (freq, sample) and returns the offset index (freq, sample)
    such that frequency index is the same, and sample index is the minimum of all
    offsets ocurring after the given onset. If there are no offsets after the given
    onset in that frequency channel, the final sample in that channel is returned.
Takes an onset index ( freq sample ) and returns the offset index ( freq sample ) such that frequency index is the same and sample index is the minimum of all offsets ocurring after the given onset . If there are no offsets after the given onset in that frequency channel the final sample in that channel is returned .