= R"pydeepstream(
Holds metadata for an audio frame in a batch.
:ivar frame_number: *int*, Current frame number of the source.
:ivar pad_index: *int*, Pad or port index of stream muxer component for the audio frame in the batch.
:ivar batch_id: *int*, Location of the audio frame in the batch.
:ivar source_id: *int*, ID of the source to which the audio frame belongs.
:ivar sample_rate: *int*, Audio sample rate.
:ivar num_channels: *int*, Number of audio channels.
:ivar num_samples_per_frame: *int*, Number of audio samples in this frame.
:ivar format: *int*, Audio sample format.
:ivar layout: *int*, Audio channel layout.
:ivar buffer_pts: *int*, Presentation timestamp (PTS) of the audio frame.
:ivar ntp_timestamp: *int*, Network Time Protocol (NTP) timestamp.
:ivar infer_done: *bool*, Whether inference has been performed on this audio frame.
:ivar class_id: *int*, Class ID of the last classified event.
:ivar confidence: *float*, Confidence of the last classified event.
:ivar class_label: *str*, Label of the last classified event.
:ivar classifier_items: *iterator* Iterator over :class:`ClassifierMetadata` items attached by nvinferaudio.
:ivar tensor_items: *iterator* Iterator over tensor output user metadata items attached to the audio frame.)pydeepstream"