assertThat(endpointPair.source()).isEqualTo(endpointPair.adjacentNode(node));
        assertThat(endpointPair.target()).isEqualTo(node);
      }

      for (String outEdge : network.outEdges(node)) {
        EndpointPair<Integer> endpointPair = network.incidentNodes(outEdge);
        assertThat(endpointPair.source()).isEqualTo(node);

        assertThat(endpointPair.source()).isEqualTo(endpointPair.adjacentNode(node));
        assertThat(endpointPair.target()).isEqualTo(node);
      }

      for (String outEdge : network.outEdges(node)) {
        EndpointPair<Integer> endpointPair = network.incidentNodes(outEdge);
        assertThat(endpointPair.source()).isEqualTo(node);

	Text() string
	// File reports the source file name of the token.
	File() string
	// Base reports the position base of the token.
	Base() *src.PosBase
	// SetBase sets the position base.
	SetBase(*src.PosBase)
	// Line reports the source line number of the token.
	Line() int
	// Col reports the source column number of the token.
	Col() int
	// Close does any teardown required.
	Close()

  fun maxDataLength(): Int = maxFrameSize

  /**
   * `source.length` may be longer than the max length of the variant's data frame. Implementations
   * must send multiple frames as necessary.
   *
   * @param source the buffer to draw bytes from. May be null if byteCount is 0.
   * @param byteCount must be between 0 and the minimum of `source.length` and [maxDataLength].
   */
  @Throws(IOException::class)
  fun data(

        try {
            final RESULT result = entityType.newInstance();
            result.setElevateWordId(DfTypeUtil.toString(source.get("elevateWordId")));
            result.setLabelTypeId(DfTypeUtil.toString(source.get("labelTypeId")));
            return updateEntity(source, result);

    protected <RESULT extends Group> RESULT createEntity(Map<String, Object> source, Class<? extends RESULT> entityType) {
        try {
            final RESULT result = entityType.newInstance();
            result.setGidNumber(DfTypeUtil.toLong(source.get("gidNumber")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            return updateEntity(source, result);
        } catch (InstantiationException | IllegalAccessException e) {

  fun receiveRequest(expected: String) =
    apply {
      actions += { stream ->
        val actual = stream.source.readUtf8(expected.utf8Size())
        if (actual != expected) throw AssertionError("$actual != $expected")
      }
    }

  fun exhaustRequest() =
    apply {
      actions += { stream ->
        if (!stream.source.exhausted()) throw AssertionError("expected exhausted")
      }
    }

  fun cancelStream() =

# AGPLv3 Compliance

We have designed MinIO as an Open Source software for the Open Source software community. This requires applications to consider whether their usage of MinIO is in compliance with the GNU AGPLv3 [license](https://github.com/minio/minio/blob/master/LICENSE).

    //
    void putArtifact(
            File source, Artifact artifact, ArtifactRepository deploymentRepository, TransferListener downloadMonitor)
            throws TransferFailedException;

    void putRemoteFile(ArtifactRepository repository, File source, String remotePath, TransferListener downloadMonitor)
            throws TransferFailedException;

labels: 'TFLiteConverter'

---

### 1. System information

- OS Platform and Distribution (e.g., Linux Ubuntu 16.04):
- TensorFlow installation (pip package or built from source):
- TensorFlow library (version, if pip package or github SHA, if built from source):

### 2. Code

Provide code to help us reproduce your issues using one of the following options:

#### Option A: Reference colab notebooks