final String baseDirectory = path.substring(0, pos);
        ResourceTraversalUtil.forEach(rootDir, baseDirectory, (ResourceHandler) (path1, is) -> {
            try {
                if (count < 10) {
                    System.out.println(path1);
                }
                assertThat(path1, is(notNullValue()));
                assertThat(is, is(notNullValue()));
                count++;

          make test-iam
      - name: Test MinIO Old Version data to IAM import current version
        if: matrix.ldap == 'ldaphost:389'
        env:
          _MINIO_LDAP_TEST_SERVER: ${{ matrix.ldap }}
        run: |
          make test-iam-ldap-upgrade-import
      - name: Test LDAP for automatic site replication
        if: matrix.ldap == 'localhost:389'
        run: |
          make test-site-replication-ldap

      - 'tensorflow/tools/tf_sig_build_dockerfiles/**'
      - '!tensorflow/tools/tf_sig_build_dockerfiles/README.md'

permissions:
  contents: read

jobs:
  docker:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [python3.9, python3.10, python3.11, python3.12]
    permissions:

            Element ulinkElement = doc.createElement('ulink')

            String href
            if (style == 'dsldoc') {
                href = "${dsldocUrl.get()}/${className}.html"
            } else if (style == "javadoc") {
                def base = javadocUrl.get()
                def packageName = classMetaData.packageName

     * @throws DuplicateParameterException if any
     */
    public void setParameters(List<Parameter> parameters) throws DuplicateParameterException {
        this.parameters.clear();
        for (Parameter parameter : parameters) {
            addParameter(parameter);
        }
    }

    /**
     * @param parameter add a new parameter
     * @throws DuplicateParameterException if any
     */

  return op;
}

bool IsPlaceholder(const tensorflow::NodeDef& node_def) {
  if (node_def.op() != "Placeholder" || node_def.name() != "feed") {
    return false;
  }
  bool found_dtype = false;
  bool found_shape = false;
  for (const auto& attr : node_def.attr()) {
    if (attr.first == "dtype") {
      if (attr.second.type() == tensorflow::DT_INT32) {
        found_dtype = true;
      } else {

        String modeSetting = settings.get("mode", null);
        if (modeSetting != null) {
            if ("search".equalsIgnoreCase(modeSetting)) {
                mode = JapaneseTokenizer.Mode.SEARCH;
            } else if ("normal".equalsIgnoreCase(modeSetting)) {
                mode = JapaneseTokenizer.Mode.NORMAL;
            } else if ("extended".equalsIgnoreCase(modeSetting)) {

		policyBytes, err := base64.StdEncoding.DecodeString(base64.StdEncoding.EncodeToString([]byte(pp.String())))
		if err != nil {
			t.Fatal(err)
		}

		postPolicyForm, err := parsePostPolicyForm(bytes.NewReader(policyBytes))
		if err != nil {
			t.Fatal(err)
		}

		err = checkPostPolicy(formValues, postPolicyForm)
		if err != nil && tt.expectedErr != nil && err.Error() != tt.expectedErr.Error() {

            val prevStage = if (stageNumber > 1) model.stages[stageNumber - 2] else null

            if (stage.runsIndependent) {
                return@forEach
            }

            assertEquals(
                stage.specificBuilds.size + stage.functionalTests.size + stage.performanceTests.size + stage.docsTests.size + (if (prevStage != null) 1 else 0),

            int _entriesp = _src.dec_ndr_long();

            if ( _entriesp != 0 ) {
                _src = _src.deferred;
                int _entriess = _src.dec_ndr_long();
                int _entriesi = _src.index;
                _src.advance(12 * _entriess);

                if ( this.entries == null ) {
                    if ( _entriess < 0 || _entriess > 0xFFFF )