Shinsuke Sugaya <******@****.***> 1515316511 +0900

                     */
                    /* Technically we should also try to authenticate here but that means doing the session setup and tree connect separately. For now a simple connect will at least tell us if the host is alive. That should be sufficient for 99% of the cases. We can revisit this again for 2.0.
                     */
                    trans.connect();

                    || status == NtStatus.NT_STATUS_BAD_NETWORK_NAME;
        }
        return false;
    }

    /**
     * Simple connection retry logic - could be enhanced with exponential backoff
     */
    private boolean shouldRetryConnection() {
        // For now, allow one retry. Could be enhanced with more sophisticated logic.

			}
			opts.claims[k] = v
		}
	} else if globalIAMSys.LDAPConfig.Enabled() {
		// In case of LDAP we need to resolve the targetUser to a DN and
		// query their groups:
		opts.claims[ldapUserN] = targetUser // simple username
		var lookupResult *xldap.DNSearchResult
		lookupResult, targetGroups, err = globalIAMSys.LDAPConfig.LookupUserDN(targetUser)
		if err != nil {
			writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)

  TF_DeleteGraph(g1);
  TF_DeleteGraph(g2);
  TF_DeleteStatus(s);
}
*/

TEST(CAPI, ImportGraphDef) {
  TF_Status* s = TF_NewStatus();
  TF_Graph* graph = TF_NewGraph();

  // Create a simple graph.
  Placeholder(graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  ASSERT_TRUE(TF_GraphOperationByName(graph, "feed") != nullptr);
  TF_Operation* oper = ScalarConst(3, graph, s);

                });
        emlExtractor = container.getComponent("emlExtractor");
    }

    public void test_getText() throws IOException {
        try (final InputStream in = ResourceUtil.getResourceAsStream("extractor/eml/sample1.eml")) {
            ExtractData data = emlExtractor.getText(in, null);
            final String content = data.getContent();
            logger.info(content);
            assertTrue(content.contains("プレイステーション"));

Shinsuke Sugaya <******@****.***> 1452930635 +0900

  /**
   * Returns an element less than the {@link #samples()} but greater than {@link
   * #belowSamplesLesser()}.
   */
  E belowSamplesGreater();

  /**
   * Returns an element greater than the {@link #samples()} but less than {@link
   * #aboveSamplesGreater()}.
   */
  E aboveSamplesLesser();

  /**
   * Returns an element greater than the {@link #samples()} and greater than {@link
   * #aboveSamplesLesser()}.
   */

  /**
   * Returns an element less than the {@link #samples()} but greater than {@link
   * #belowSamplesLesser()}.
   */
  E belowSamplesGreater();

  /**
   * Returns an element greater than the {@link #samples()} but less than {@link
   * #aboveSamplesGreater()}.
   */
  E aboveSamplesLesser();

  /**
   * Returns an element greater than the {@link #samples()} and greater than {@link
   * #aboveSamplesLesser()}.
   */

        experimental and is available as simply `.ref()`.
    *   `pfor/vectorized_map`: Added support for vectorizing 56 more ops.
        Vectorizing `tf.cond` is also supported now.
    *   Set as much partial shape as we can infer statically within the gradient
        impl of the gather op.
    *   Gradient of `tf.while_loop` emits `StatelessWhile` op if `cond` and body