* @param collisions The POM files of the projects that collided, indexed by their g:a:v, may be {@code null}.
     */
    public DuplicateProjectException(String message, Map<String, List<File>> collisions) {
        super(message, (File) null);

        this.collisions = (collisions != null) ? collisions : new LinkedHashMap<>();
    }

    /**
     * Gets the POM files of the projects that collided.
     *

                if (pomFiles == null) {
                    pomFiles = new ArrayList<>(Arrays.asList(collision.getFile(), project.getFile()));
                    collisions.put(projectId, pomFiles);
                } else {
                    pomFiles.add(project.getFile());
                }
            }
        }

        if (!collisions.isEmpty()) {

		// for users who might have used master
		// branch
		fi.Data = inData.find(fi.DataDir)
	}
	return fi, nil
}

// hashDeterministicString will return a deterministic hash for the map values.
// Trivial collisions are avoided, but this is by no means a strong hash.
func hashDeterministicString(m map[string]string) uint64 {
	// Seed (random)
	crc := uint64(0xc2b40bbac11a7295)
	// Xor each value to make order independent

   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,

   * there would exist a perfect hash function mapping threads to
   * slots that eliminates collisions. When we reach capacity, we
   * search for this mapping by randomly varying the hash codes of
   * colliding threads.  Because search is random, and collisions
   * only become known via CAS failures, convergence can be slow,
   * and because threads are typically not bound to CPUS forever,

  // (1) 00 01 02 03 04 05 06 07 80
  // (2) 00 01 02 03 04 05 06 07 81
  // (3) 00 01 02 03 04 05 06 07 ff (or anything in between)
  // A fault implementation will generate collisions for these inputs.
  public void testCollisionsDueToIncorrectSignExtension() {
    byte[] col1 = new byte[] {0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, (byte) 0x80};

  // (1) 00 01 02 03 04 05 06 07 80
  // (2) 00 01 02 03 04 05 06 07 81
  // (3) 00 01 02 03 04 05 06 07 ff (or anything in between)
  // A fault implementation will generate collisions for these inputs.
  public void testCollisionsDueToIncorrectSignExtension() {
    byte[] col1 = new byte[] {0x00, 0x01, 0x02, 0x03, 0x04, 0x05, 0x06, 0x07, (byte) 0x80};

			m := tt.arg
			for i := 0; i < n; i++ {
				if got := hashDeterministicString(m); got != want {
					t.Errorf("hashDeterministicString() = %v, want %v", got, want)
				}
			}
			// Check casual collisions
			if m == nil {
				m = make(map[string]string)
			}
			m["12312312"] = ""
			if got := hashDeterministicString(m); got == want {
				t.Errorf("hashDeterministicString() = %v, does not want %v", got, want)
			}

	Directory string

	// MaximumFileSize defines the maximum size of each log file in bytes.
	MaximumFileSize int64

	// FileNameFunc specifies the name a new file will take.
	// FileNameFunc must ensure collisions in filenames do not occur.
	// Do not rely on timestamps to be unique, high throughput writes
	// may fall on the same timestamp.
	// Eg.
	// 	2020-03-28_15-00-945-<random-hash>.log

   *
   * <p>This is designed for generating persistent fingerprints of strings. It isn't
   * cryptographically secure, but it produces a high-quality hash with fewer collisions than some
   * alternatives we've used in the past.
   *
   * <p>FarmHash fingerprints are encoded by {@link HashCode#asBytes} in little-endian order. This