stripes[i] = i;
    }
    List<Integer> asList = Ints.asList(stripes);
    Collections.shuffle(asList, new Random(0xdeadbeef));

    // do bulk gets with exactly 10 keys (possibly <10 stripes) (or less if numStripes is smaller)
    bulkGetSet = ImmutableList.copyOf(limit(cycle(asList), 10));
  }

  @Footprint
  Object sizeOfStriped() {
    return impl.get(numStripes);
  }

      stripes[i] = i;
    }
    List<Integer> asList = Ints.asList(stripes);
    Collections.shuffle(asList, new Random(0xdeadbeef));

    // do bulk gets with exactly 10 keys (possibly <10 stripes) (or less if numStripes is smaller)
    bulkGetSet = ImmutableList.copyOf(limit(cycle(asList), 10));
  }

  @Footprint
  Object sizeOfStriped() {
    return impl.get(numStripes);
  }

- Is small, focused, and easy to review—ideally one commit, unless multiple commits better narrate complex work.
- Adheres to MinIO’s coding standards (e.g., Go style, error handling, testing).

PRs must flow smoothly through review to reach production. Large PRs should be split into smaller, manageable ones.

## Submitting PRs

1. **Title and Summary**:

		// Test - 2 invalid buffer with no CRLF.
		{bytes.NewReader([]byte("he")), errMalformedEncoding},
		// Test - 3 invalid buffer with more characters.
		{bytes.NewReader([]byte("he\r\n")), errMalformedEncoding},
		// Test - 4 smaller buffer than expected.
		{bytes.NewReader([]byte("h")), io.ErrUnexpectedEOF},
	}
	for i, tt := range tests {
		err := readCRLF(tt.reader)
		if err != tt.expectedErr {

func NewBytePoolCap(maxSize uint64, width int, capwidth int) (bp *BytePoolCap) {
	if capwidth <= 0 {
		panic("total buffer capacity must be provided")
	}
	if capwidth < 64 {
		panic("buffer capped with smaller than 64 bytes is not supported")
	}
	if width > capwidth {
		panic("minimum buffer length cannot be > capacity of the buffer")
	}
	return &BytePoolCap{
		c:    make(chan []byte, maxSize),
		w:    width,

     */
    double estimateCompressionRatio(byte[] data, int algorithm);

    /**
     * Gets the minimum data size threshold for compression.
     * Data smaller than this threshold should not be compressed.
     *
     * @return minimum size in bytes for compression to be beneficial
     */
    int getMinCompressionSize();

    /**

    }

    /**
     * Get the minimum of two dialect versions
     *
     * @param a the first version to compare
     * @param b the second version to compare
     * @return smaller of the two versions
     */
    public static DialectVersion min(final DialectVersion a, final DialectVersion b) {
        if (a.atMost(b)) {
            return a;
        }
        return b;
    }

	CleanAbandonedData(ctx context.Context, volume string, path string) error

	// Write all data, syncs the data to disk.
	// Should be used for smaller payloads.
	WriteAll(ctx context.Context, volume string, path string, b []byte) (err error)

	// Read all.
	ReadAll(ctx context.Context, volume string, path string) (buf []byte, err error)

        // Any PACDecodingException is acceptable for this test
        assertNotNull(e.getMessage());
    }

    @Test
    void testTooSmallPac() {
        // Test that PAC smaller than 8 bytes is rejected
        byte[] smallData = new byte[4];

        PACDecodingException e = assertThrows(PACDecodingException.class, () -> new Pac(smallData, keys));

  }

  /**
   * Test that verifies the resource leak fix for <a
   * href="https://github.com/google/guava/issues/5756">Issue #5756</a>.
   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing