generator.saveImage(input, outputFile);
        }
        assertImageSize(outputFile, 100, 66);

        imagePath = "thumbnail/600x400.gif";
        try (ImageInputStream input = ImageIO.createImageInputStream(classLoader.getResourceAsStream(imagePath))) {
            generator.saveImage(input, outputFile);
        }
        assertImageSize(outputFile, 100, 66);

    }

    /**
     * @throws Exception
     */
    @Test
    public void testGetFromStream_gif() throws Exception {
        final String path = ClassUtil.getPackageName(this.getClass()).replaceAll("\\.", "/") + "/ccc.gif";
        final String contentType = MimeTypeUtil.guessContentType(path);
        assertEquals("image/gif", contentType);
    }

    /**
     * @throws Exception
     */
    @Test

        sink.writeAll(source)
      }
    }
  }

  private fun contentType(file: File): String {
    return when {
      file.name.endsWith(".css") -> "text/css"
      file.name.endsWith(".gif") -> "image/gif"
      file.name.endsWith(".html") -> "text/html"
      file.name.endsWith(".jpeg") -> "image/jpeg"
      file.name.endsWith(".jpg") -> "image/jpeg"
      file.name.endsWith(".js") -> "application/javascript"

        final String path = imageFile.getAbsolutePath();
        if (path.endsWith(".png")) {
            return "image/png";
        }
        if (path.endsWith(".gif")) {
            return "image/gif";
        }
        if (path.endsWith(".jpg") || path.endsWith(".jpeg")) {
            return "image/jpeg";
        }
        return "application/octet-stream";
    }

        final String mimeType = responseData.getMimeType();
        if (mimeType == null) {
            return true;
        }

        return switch (mimeType) {
        case "image/png", "image/gif", "image/jpeg", "image/bmp" -> true;
        default -> false;
        };
    }

    protected Result saveImage(final ImageInputStream input, final File outputFile) throws IOException {

  }

  @Test fun testValidParse() {
    assertMediaType("text/plain")
    assertMediaType("application/atom+xml; charset=utf-8")
    assertMediaType("application/atom+xml; a=1; a=2; b=3")
    assertMediaType("image/gif; foo=bar")
    assertMediaType("text/plain; a=1")
    assertMediaType("text/plain; a=1; a=2; b=3")
    assertMediaType("text/plain; charset=utf-16")
    assertMediaType("text/plain; \t \n \r a=b")

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