List<InterpolationPostProcessor> processors = new ArrayList<>(2);
        if (projectDir != null) {
            processors.add(new PathTranslatingPostProcessor(
                    PROJECT_PREFIXES, TRANSLATED_PATH_EXPRESSIONS,
                    projectDir, pathTranslator));
        }
        processors.add(new UrlNormalizingPostProcessor(urlNormalizer));
        return processors;
    }

    }
  }

  /**
   * Reads lines of text from this source, processing each line as it is read using the given {@link
   * LineProcessor processor}. Stops when all lines have been processed or the processor returns
   * {@code false} and returns the result produced by the processor.
   *
   * <p>Like {@link BufferedReader#readLine()}, this method considers a line to be a sequence of

/**
 * Provides tools for processing Maven dependency injection annotations at compile time.
 * <p>
 * This package contains annotation processors that generate metadata files used by
 * the Maven dependency injection system. The main component is the {@link org.apache.maven.di.tool.DiIndexProcessor},
 * which processes classes annotated with {@link org.apache.maven.api.di.Named} and creates an index file

Um contêiner está rodando enquanto o **processo principal** (comando ou programa) estiver rodando.

Um contêiner normalmente tem um **único processo**, mas também é possível iniciar sub-processos a partir do processo principal, e dessa forma você terá **vários processos** no mesmo contêiner.

Mas não é possível ter um contêiner rodando sem **pelo menos um processo rodando**. Se o processo principal parar, o contêiner também para.

            assertNotNull(jobProcess);

            // Wait for process to start
            Thread.sleep(100);

            // Verify process is running
            assertTrue("Process did not become running within timeout", processHelper.isProcessRunning(sessionId));

            // Destroy the process
            int exitCode = processHelper.destroyProcess(sessionId);

         *
         * @param query the query string to process
         * @param chain the next filter chain to invoke
         * @return the processed Query object
         */
        Query parse(final String query, final FilterChain chain);
    }

    /**
     * Interface for the filter chain that processes queries.
     * Each filter in the chain can invoke the next filter or terminate the chain.

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

        try {
            Process process = new ProcessBuilder().command(args).start();
            CountDownLatch latch = new CountDownLatch(2);
            ByteArrayOutputStream stdout = connectStream(process.getInputStream(), latch);
            ByteArrayOutputStream stderr = connectStream(process.getErrorStream(), latch);

            process.waitFor(1, TimeUnit.MINUTES);

// enable the JMH's BenchmarkProcessor to generate the final benchmark classes
// needs to be added separately otherwise Gradle will quote it and javac will fail
tasks.named("compileJava").configure {
  options.compilerArgs.addAll(["-processor", "org.openjdk.jmh.generators.BenchmarkProcessor"])
}

tasks.register('copyExpression', Copy) {
  dependsOn configurations.expression
  from { configurations.expression.collect { zipTree(it) } }

        }

    }

    /**
     * Processes a document through the ingest pipeline.
     * Applies all available ingesters to transform the document data.
     *
     * @param paramMap the data store parameters
     * @param dataMap the document data to process
     * @return the processed document data
     */