h5py ~= 3.15.1 ; python_version == "3.14"
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.4, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

	github.com/pmezard/go-difflib v1.0.0 // indirect
	github.com/rs/xid v1.6.0 // indirect
	golang.org/x/crypto v0.36.0 // indirect
	golang.org/x/net v0.38.0 // indirect
	golang.org/x/sys v0.31.0 // indirect
	golang.org/x/text v0.23.0 // indirect
	gopkg.in/yaml.v3 v3.0.1 // indirect

      <version>2.1.3</version>
      <version>2.1.4</version>
      <version>2.2.0</version>
      <version>2.2.1</version>
      <version>2.2.2</version>
      <version>2.2.3</version>
      <version>2.3.0</version>
      <version>2.3.1</version>
      <version>2.3.2</version>
      <version>2.3.3</version>
      <version>2.3.4</version>
      <version>2.3.5</version>
      <version>2.3.6</version>

      <version>2.1.3</version>
      <version>2.1.4</version>
      <version>2.2.0</version>
      <version>2.2.1</version>
      <version>2.2.2</version>
      <version>2.2.3</version>
      <version>2.3.0</version>
      <version>2.3.1</version>
      <version>2.3.2</version>
      <version>2.3.3</version>
      <version>2.3.4</version>
      <version>2.3.5</version>
      <version>2.3.6</version>

      <version>2.1.3</version>
      <version>2.1.4</version>
      <version>2.2.0</version>
      <version>2.2.1</version>
      <version>2.2.2</version>
      <version>2.2.3</version>
      <version>2.3.0</version>
      <version>2.3.1</version>
      <version>2.3.2</version>
      <version>2.3.3</version>
      <version>2.3.4</version>
      <version>2.3.5</version>
      <version>2.3.6</version>

      <version>2.1.3</version>
      <version>2.1.4</version>
      <version>2.2.0</version>
      <version>2.2.1</version>
      <version>2.2.2</version>
      <version>2.2.3</version>
      <version>2.3.0</version>
      <version>2.3.1</version>
      <version>2.3.2</version>
      <version>2.3.3</version>
      <version>2.3.4</version>
      <version>2.3.5</version>
      <version>2.3.6</version>

   * byte written, {@code bytes.limit() - 1} is the last. The position of the buffer will be equal
   * to the limit when this method returns.
   *
   * @param bytes a byte buffer
   * @return this instance
   * @since 23.0
   */
  @CanIgnoreReturnValue
  PrimitiveSink putBytes(ByteBuffer bytes);

  /** Puts a short into this sink. */
  @CanIgnoreReturnValue
  PrimitiveSink putShort(short s);

  /** Puts an int into this sink. */

						{
							Prefix: "",
							Suffix: "",
							Seq:    getSequences(1, 64, 0),
						},
						{
							Prefix: "http://minio",
							Suffix: "/export/set",
							Seq:    getSequences(2, 3, 0),
						},
					},
				},
				nil,
				[][]uint64{{16, 16, 16, 16, 16, 16, 16, 16}},
			},
			true,
		},
		// Supporting some advanced cases.
		{
			"http://minio{1...64}.mydomain.net/data",

 * href="https://github.com/google/guava/wiki/GraphsExplained#notes-for-implementors">notes for
 * implementors</a>
 *
 * @author Joshua O'Madadhain
 * @author Jens Nyman
 * @param <N> Node parameter type
 * @since 23.0
 */
@DoNotMock("Implement with a lambda, or use GraphBuilder to build a Graph with the desired edges")
public interface PredecessorsFunction<N> {

  /**