> export MINIO_COMPRESSION_MIME_TYPES="*"
> ```

### 3. Compression + Encryption

Combining encryption and compression is not safe in all setups.
This is particularly so if the compression ratio of your content reveals information about it.
See [CRIME TLS](https://en.wikipedia.org/wiki/CRIME) as an example of this.

Therefore, compression is disabled when encrypting by default, and must be enabled separately.

        if (width < TABLET_WIDTH) {
            float ratio = (float) width / (float) TABLET_WIDTH;
            if (ratio < 0.5) {
                ratio = 0.5f;
            }
            highlightInfo.fragmentSize((int) (highlightInfo.getFragmentSize() * ratio));
        }
    }

    /**
     * Gets the URL link for a document with proper protocol handling.

        // In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override
    public int getMinCompressionSize() {

      // Since scale is a positive int, index is in [0, scale], and (dataset.length - 1) is a
      // non-negative int, we can do long-arithmetic on index * (dataset.length - 1) / scale to get
      // a rounded ratio and a remainder which can be expressed as ints, without risk of overflow:
      int quotient = (int) LongMath.divide(numerator, scale, RoundingMode.DOWN);
      int remainder = (int) (numerator - (long) quotient * scale);

            System.out.printf("Total unique values: %d%n", group.totalUnique);
            System.out.printf("Total occurrences: %d%n", group.totalOccurrences);
            System.out.printf("Duplication ratio: %.2f%n", (double) group.totalOccurrences / group.totalUnique);

            System.out.println("\nMost frequent values across all paths:");
            for (ValueFrequency v : group.mostFrequentValues) {

                || height < getThumbnailHtmlImageMinHeightAsInteger().intValue()) {
            return false;
        }

        final float ratio = getThumbnailHtmlImageMaxAspectRatioAsDecimal().floatValue();
        if ((float) width / (float) height > ratio || (float) height / (float) width > ratio) {
            return false;
        }

        return true;
    }

    String getHttpProxyHost();

	if divisibleSize < setCounts[len(setCounts)-1] {
		return divisibleSize
	}

	// Figure out largest value of total_drives_in_erasure_set which results
	// in least number of total_drives/total_drives_erasure_set ratio.
	prevD := divisibleSize / setCounts[0]
	for _, cnt := range setCounts {
		if divisibleSize%cnt == 0 {
			d := divisibleSize / cnt
			if d <= prevD {
				prevD = d
				setSize = cnt
			}
		}
	}

    /** Constant for the platform specific line separator.*/
    private static final String LINE_SEPARATOR = System.lineSeparator();

    /** Constant for the radix of hex numbers.*/
    private static final int HEX_RADIX = 16;

    /** Constant for the length of a unicode literal.*/
    private static final int UNICODE_LEN = 4;

    /** Constant for the platform specific line separator.*/
    private static final String LINE_SEPARATOR = System.lineSeparator();

    /** Constant for the radix of hex numbers.*/
    private static final int HEX_RADIX = 16;

    /** Constant for the length of a unicode literal.*/
    private static final int UNICODE_LEN = 4;

        assertTrue(omitIdx > 0);
        final String head = result.substring(0, omitIdx);
        final String tail = result.substring(omitIdx + omitMarker.length());
        // Verify 60/40 ratio: head=289, tail=194
        assertEquals(289, head.length());
        assertEquals(194, tail.length());
        // Head should be ~60% of bodyBudget