Thread.sleep(50);

        String output1 = thread.getOutput();
        boolean contains1 = thread.contains("concurrent1");

        thread.join(1000);

        String output2 = thread.getOutput();
        boolean contains2 = thread.contains("concurrent1");

        assertNotNull(output1);
        assertNotNull(output2);
        assertTrue(contains2);
    }

    @Test

.vscode

# This is where the result of the go build goes
/output*/
/_output*/
/_output

# Emacs save files
*~
\#*\#
.\#*

# Vim-related files
[._]*.s[a-w][a-z]
[._]s[a-w][a-z]
*.un~
Session.vim
.netrwhist

# cscope-related files
cscope.*

# Go test binaries
*.test
/hack/.test-cmd-auth

# JUnit test output from ginkgo e2e tests
/junit*.xml

# Mercurial files
**/.hg

        }
    }

    /**
     * Outputs INFO information.
     *
     * @param message
     *            Message
     */
    public void info(final Object message) {
        if (isInfoEnabled()) {
            log.info(toString(message));
        }
    }

    /**
     * Outputs WARN information.
     *
     * @param message
     *            Message

        Consumer<ProcessBuilder> pbCall = pb -> {
            pb.redirectErrorStream(true);
        };

        List<String> outputs = new ArrayList<>();
        Consumer<String> outputCallback = output -> outputs.add(output);

        try {
            JobProcess jobProcess = processHelper.startProcess(sessionId, cmdList, pbCall, 1024, outputCallback);
            assertNotNull(jobProcess);

    may start to fail. To fix this, either update any inference clients to send
    requests with the actual input and output keys used by the trainer code, or
    conversely, update the trainer code to name the input and output Tensors
    'inputs' and 'outputs', respectively. Signatures using the 'classify' and
    'regress' methods are not affected by this change; they will continue to

    }
  }

  sourceSets {
    val commonJvmAndroid =
      create("commonJvmAndroid") {
        dependsOn(commonMain.get())

        kotlin.srcDir(copyKotlinTemplates.map { it.outputs })
        kotlin.srcDir(generateIdnaMappingTable.map { it.outputs })

        dependencies {
          api(libs.square.okio)
          api(libs.kotlin.stdlib)

          compileOnly(libs.animalsniffer.annotations)
        }
      }

```

This will generate a TypeScript SDK in `./src/client`.

You can learn how to [install `@hey-api/openapi-ts`](https://heyapi.dev/openapi-ts/get-started) and read about the [generated output](https://heyapi.dev/openapi-ts/output) on their website.

### Using the SDK { #using-the-sdk }

Now you can import and use the client code. It could look like this, notice that you get autocompletion for the methods:

    )
    assert result.exit_code == 1, result.output

    fixed_content = (root_dir / "docs" / "lang" / "docs" / "doc.md").read_text("utf-8")
    expected_content = Path(f"{data_path}/translated_doc_number_gt.md").read_text(
        "utf-8"
    )

    assert fixed_content == expected_content  # Translated doc remains unchanged
    assert "Error processing docs/lang/docs/doc.md" in result.output
    assert (

      ListenableFuture<V> future) {
    if (future.isDone()) {
      return future;
    }
    NonCancellationPropagatingFuture<V> output = new NonCancellationPropagatingFuture<>(future);
    future.addListener(output, directExecutor());
    return output;
  }

  /** A wrapped future that does not propagate cancellation to its delegate. */

}
```

## Pydantic `bytes` for Output Data { #pydantic-bytes-for-output-data }

You can also use `bytes` fields with `ser_json_bytes` in the model config for output data, and Pydantic will *serialize* the bytes as base64 when generating the JSON response.

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Pydantic `bytes` for Input and Output Data { #pydantic-bytes-for-input-and-output-data }