// In practice, this would be more sophisticated
        int uniqueBytes = countUniqueBytes(data);
        double entropy = (double) uniqueBytes / 256.0;

        // Estimate compression ratio based on entropy
        // Lower entropy = better compression
        return 0.3 + (entropy * 0.6); // Range from 30% to 90%
    }

    @Override
    public int getMinCompressionSize() {

        assertThat(new CopyOptions().findDefaultConverter(Integer.class), is(nullValue()));
    }

    /**
     * @author kato
     */
    public static class BeanNames {

        /**
         * CharSequenceを作成します。
         *
         * @param name
         * @return CharSequence
         */

        <directory>src/main/resources</directory>
      </resource>
    </resources>
    <pluginManagement>
      <plugins>
        <plugin>
          <groupId>org.apache.rat</groupId>
          <artifactId>apache-rat-plugin</artifactId>
          <configuration>
            <excludes combine.children="append">
              <exclude>lifecycle-executor.txt</exclude>
              <exclude>plugin-manager.txt</exclude>

            assertTrue(metrics.totalSuccesses() > 0, "Should have some successes");
            assertTrue(metrics.successRate() >= 0 && metrics.successRate() <= 100, "Success rate should be valid percentage");

        } finally {
            cbWithWindow.close();
        }
    }

    @Test
    public void testCircuitBreakerClose() throws Exception {

the key was too small, but at any rate it would not open any of
them.  However, on the second time round, she came upon a low
curtain she had not noticed before, and behind it was a little
door about fifteen inches high:  she tried the little golden key
in the lock, and to her great delight it fitted!

  Alice opened the door and found that it led into a small
passage, not much larger than a rat-hole:  she knelt down and

 * the life cycle methods.
 *
 * <h3>Usage Example</h3>
 *
 * <p>Here is a sketch of a service which crawls a website and uses the scheduling capabilities to
 * rate limit itself.
 *
 * {@snippet :
 * class CrawlingService extends AbstractScheduledService {
 *   private Set<Uri> visited;
 *   private Queue<Uri> toCrawl;
 *   protected void startUp() throws Exception {

    while discussion_edges:
        for discussion_edge in discussion_edges:
            discussion_nodes.append(discussion_edge.node)
        last_edge = discussion_edges[-1]
        # Handle GitHub secondary rate limits, requests per minute
        time.sleep(settings.sleep_interval)
        discussion_edges = get_graphql_question_discussion_edges(
            settings=settings, after=last_edge.cursor
        )

                || height < getThumbnailHtmlImageMinHeightAsInteger().intValue()) {
            return false;
        }

        final float ratio = getThumbnailHtmlImageMaxAspectRatioAsDecimal().floatValue();
        if ((float) width / (float) height > ratio || (float) height / (float) width > ratio) {
            return false;
        }

        return true;
    }

    String getHttpProxyHost();

**FastAPI** tiene su propio `HTTPException`.

Y la clase de error `HTTPException` de **FastAPI** hereda de la clase de error `HTTPException` de Starlette.

La única diferencia es que el `HTTPException` de **FastAPI** acepta cualquier dato JSON-able para el campo `detail`, mientras que el `HTTPException` de Starlette solo acepta strings para ello.

Así que puedes seguir lanzando un `HTTPException` de **FastAPI** como de costumbre en tu código.

            System.out.printf("Total unique values: %d%n", group.totalUnique);
            System.out.printf("Total occurrences: %d%n", group.totalOccurrences);
            System.out.printf("Duplication ratio: %.2f%n", (double) group.totalOccurrences / group.totalUnique);

            System.out.println("\nMost frequent values across all paths:");
            for (ValueFrequency v : group.mostFrequentValues) {