Error(rw, err.Error(), StatusBadRequest)
			return
		}
	})).ts
	fBuf := new(bytes.Buffer)
	mw := multipart.NewWriter(fBuf)
	mf, err := mw.CreateFormFile("file", "myfile.txt")
	if err != nil {
		t.Fatal(err)
	}
	if _, err := mf.Write(bytes.Repeat([]byte("abc"), payloadSize)); err != nil {
		t.Fatal(err)
	}
	if err := mw.Close(); err != nil {
		t.Fatal(err)
	}

	features, err := parseAPIFile(apiFS, filename)
	if err != nil {
		return err
	}
	byFile, err := GroupAPIFeaturesByFile(features)
	if err != nil {
		return err
	}
	var filenames []string
	for fn := range byFile {
		filenames = append(filenames, fn)
	}
	slices.Sort(filenames)
	mcDir, err := minorChangesDir(docFS)
	if err != nil {
		return err
	}

						<manifestEntries>
							<Automatic-Module-Name>org.codelibs.fess.crawler</Automatic-Module-Name>
						</manifestEntries>
					</archive>
				</configuration>
			</plugin>
			<plugin>
				<groupId>com.mycila</groupId>
				<artifactId>license-maven-plugin</artifactId>
			</plugin>
			<plugin>
				<groupId>net.revelc.code.formatter</groupId>
				<artifactId>formatter-maven-plugin</artifactId>
			</plugin>
		</plugins>

    bool clear_existing_contexts) {
#if defined(IS_MOBILE_PLATFORM)
  status->status = tensorflow::errors::Unimplemented(
      "TFE_ContextSetServerDef not supported on mobile");
#else   // !defined(IS_MOBILE_PLATFORM)
  tensorflow::ServerDef server_def;
  if (!server_def.ParseFromArray(proto, proto_len)) {
    status->status = tensorflow::errors::InvalidArgument(

    ] + if_google([
        "//tensorflow/tools/proto_splitter:merge",
    ]) + if_not_mobile([
        # TODO(b/111634734): :lib and :protos_all contain dependencies that
        # cannot be built on mobile platforms. Instead, include the appropriate
        # tf_lib depending on the build platform.
        "@com_google_absl//absl/memory:memory",
        "//tensorflow/core:lib",

  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-mobile">{@code
   * Sec-CH-UA-Mobile}</a> header field name.
   *
   * @since 30.0
   */
  public static final String SEC_CH_UA_MOBILE = "Sec-CH-UA-Mobile";
  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-wow64">{@code
   * Sec-CH-UA-WoW64}</a> header field name.

  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-mobile">{@code
   * Sec-CH-UA-Mobile}</a> header field name.
   *
   * @since 30.0
   */
  public static final String SEC_CH_UA_MOBILE = "Sec-CH-UA-Mobile";
  /**
   * The HTTP <a href="https://wicg.github.io/ua-client-hints/#sec-ch-ua-wow64">{@code
   * Sec-CH-UA-WoW64}</a> header field name.

You could also use it to generate code automatically, for clients that communicate with your API. For example, frontend, mobile or IoT applications.

## Recap, step by step

### Step 1: import `FastAPI`

```Python hl_lines="1"
{!../../../docs_src/first_steps/tutorial001.py!}
```

      foo_test:      A cc_test with simple tests and benchmarks. Only created if
                      gen_test=True.
      foo_benchmark: A cc_binary that runs a minimal-dependency benchmark,
                      useful for mobile devices or other platforms that can't
                      compile the full test libraries. Only created if
                      gen_benchmark=True.
    The output header is called <name>.h.

    Args:

SP_Stream TF_GetStream(TF_OpKernelContext* ctx, TF_Status* status) {
#if defined(IS_MOBILE_PLATFORM) || defined(IS_SLIM_BUILD)
  status->status = absl::UnimplementedError(
      "Accessing device stream is not supported on mobile. File a bug at "
      "https://github.com/tensorflow/tensorflow/issues if this feature is "
      "important to you");
  return nullptr;
#else
  auto* cc_ctx = reinterpret_cast<::tensorflow::OpKernelContext*>(ctx);