/**
 * A thread that reads from an input stream line by line and maintains a buffer of recent lines.
 * This class provides functionality to read input stream data asynchronously,
 * optionally process each line with a callback function, and maintain a circular buffer
 * of recent lines for retrieval.
 */
public class InputStreamThread extends Thread {
    /** Logger instance for this class */

                    entity.getBoost(), false);
        } catch (final Exception e) {
            logger.warn("Failed to process a request.", e);
            throwValidationErrorApi(messages -> messages.addErrorsCrudFailedToCreateCrudTable(GLOBAL, buildThrowableMessage(e)));
        }

        }
    }

    /**
     * Processes allowed SIDs (Security Identifiers) and adds them to the SID set.
     * If the SID is a group, it recursively processes all group members.
     *
     * @param file the SMB1 file
     * @param sid the SID to process
     * @param sidSet the set of SIDs to add to
     */

You can add code to be run with the `request`,  before any *path operation* receives it.

And also after the `response` is generated, before returning it.

For example, you could add a custom header `X-Process-Time` containing the time in seconds that it took to process the request and generate a response:

{* ../../docs_src/middleware/tutorial001.py hl[10,12:13] *}

/// tip

 */
package org.codelibs.core.io;

import java.io.InputStream;

/**
 * Interface for handlers that process resources.
 *
 * @author taedium
 */
public interface ResourceHandler {

    /**
     * Processes a resource.
     *
     * @param path the path
     * @param is the {@link InputStream} to read the resource
     */

    /**
     * Processes the request through this API manager.
     * @param request The HTTP servlet request.
     * @param response The HTTP servlet response.
     * @param chain The filter chain.
     * @throws IOException If an input/output error occurs.
     * @throws ServletException If a servlet error occurs.
     */

## 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

        assertEquals(1, ingester.processCalled);
        assertEquals("processed", result.get("status"));
    }

    public void test_ingest_withException() {
        // Setup ingester that throws exception
        TestIngester failingIngester = new TestIngester() {
            @Override
            public Map<String, Object> process(Map<String, Object> target, DataStoreParams paramMap) {

### TLS com a Extensão SNI

**Apenas um processo** no servidor pode se conectar a uma **porta** em um **endereço IP**. Poderiam existir outros processos conectados em outras portas desse mesmo endereço IP, mas apenas um para cada combinação de endereço IP e porta.

TLS (HTTPS) usa a porta `443` por padrão. Então essa é a porta que precisamos.

 * This interface provides a contract for different script engine implementations
 * to process template strings with parameter substitution.
 */
public interface ScriptEngine {

    /**
     * Evaluates a template string with the provided parameter map.
     * The template is processed using the script engine's templating mechanism,
     * with parameters from the paramMap substituted into the template.
     *