audio/x-aiff                   aif aiff aifc    # AIFF Sound File
audio/x-midi                   mid              # MIDI Sound File
audio/x-pn-realaudio           ra ram rm rpm    # REALAUDIO Sound File
audio/x-wav                    wav              # WAV Sound File
audio/x-mpegurl                mp3              # MP3 Sound File
audio/mpeg3                    mp3              # MP3 Sound File
audio/x-mpeg-3                 mp3              # MP3 Sound File

audio/x-aiff                   aif aiff aifc    # AIFF Sound File
audio/x-midi                   mid              # MIDI Sound File
audio/x-pn-realaudio           ra ram rm rpm    # REALAUDIO Sound File
audio/x-wav                    wav              # WAV Sound File
audio/x-mpegurl                mp3              # MP3 Sound File
audio/mpeg3                    mp3              # MP3 Sound File
audio/x-mpeg-3                 mp3              # MP3 Sound File

        @Test
        @DisplayName("Should handle audio and video extensions")
        void testMultimediaExtensions() throws IOException {
            // Common audio formats
            assertEquals("audio/x-wav", mimeMap.getMimeType("wav"));
            // mp3 has multiple mappings, first one wins
            assertEquals("audio/x-mpegurl", mimeMap.getMimeType("mp3"));

            // Common video formats

have different security properties and provide different levels of confidence
when dealing with untrusted data. Based on the security history of these
libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could