*
   * @param file the file to read
   * @param processor the object to which the bytes of the file are passed.
   * @return the result of the byte processor
   * @throws IOException if an I/O error occurs
   * @deprecated Prefer {@code asByteSource(file).read(processor)}.
   */
  @Deprecated
  @InlineMe(
      replacement = "Files.asByteSource(file).read(processor)",
      imports = "com.google.common.io.Files")

                    <mxGeometry relative="1" as="geometry"/>
                </mxCell>

        processor.setNotModifiedHttpCodes(new int[] { 304 });

        ResponseData responseData = new ResponseData();
        responseData.setHttpStatusCode(200);
        assertTrue(processor.isSuccessful(responseData));

        responseData.setHttpStatusCode(100);
        assertFalse(processor.isSuccessful(responseData));
        responseData.setHttpStatusCode(304);
        assertFalse(processor.isSuccessful(responseData));

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

  /** Number of bytes to be filled before process() invocation(s). */
  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */
  private final int chunkSize;

  /**
   * Constructor for use by subclasses. This hasher instance will process chunks of the specified
   * size.
   *
   * @param chunkSize the number of bytes available per {@link #process(ByteBuffer)} invocation;
   *     must be at least 4

	<component name="sitemapsRule" class="org.codelibs.fess.crawler.rule.impl.RegexRule" >
		<property name="ruleId">"sitemapsRule"</property>
		<property name="responseProcessor">
			<component class="org.codelibs.fess.crawler.processor.impl.SitemapsResponseProcessor">
			</component>
		</property>
		<postConstruct name="addRule">
			<arg>"url"</arg>
			<arg>"http[s]?:.*sitemap[^/]*\.xml.*|http[s]?:.*sitemap[^/]*\.gz.*|http[s]?:.*sitemap[^/]*\.txt.*"</arg>

A container is running as long as the **main process** (command or program) is running.

A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.

But it's not possible to have a running container without **at least one running process**. If the main process stops, the container stops.

        gradlew --> daemon
        tapi --> daemon
        
        worker["Worker process"]
        daemon --> worker

        worker2["Worker process"]
        daemon --> worker2

        worker3["Worker process"]
        daemon --> worker3
    
```

These are all Java processes. Each process has a corresponding "runtime".
All source code in Gradle is written to target one or more of these runtimes.

    /**
     * Artifact type name for a JAR file that can be placed either on the annotation processor class-path
     * or module-path. The path (classes or modules) is chosen by the plugin, possibly using heuristic rules.
     */
    String PROCESSOR = "processor";

    /**
     * Artifact type name for a JAR file to unconditionally place on the annotation processor class-path.
     * If the JAR is modular, its module information are ignored.
     */

multiprecision library gmp's integer type mpz_t wrapped to look like
the Go package big's integer type Int.

This is a syntactically valid Go program—it can be parsed with the Go
parser and processed by godoc—but it is not compiled directly by gc.
Instead, a separate tool, cgo, processes it to produce three output
files.  The first two, 6g.go and 6c.c, are a Go source file for 6g and
a C source file for 6c; both compile as part of the named package