if (digit == -1) {
        throw new NumberFormatException(string);
      }
      if (pos > maxSafePos && ParseOverflowDetection.overflowInParse(value, digit, radix)) {
        throw new NumberFormatException("Too large for unsigned long: " + string);
      }
      value = (value * radix) + digit;
    }

    return value;
  }

  /**
   * Returns the unsigned {@code long} value represented by the given string.

				t.Errorf("Case %d: test failed: %d %d %d %d %d", i, o, l, skip, sn, ps)
			}
		}

		// Skip 1Mib and read 1Mib (in the decrypted object)
		//
		// The check below ensures the object is large enough
		// for the read.
		if lsum(test.decSizes) >= 2*humanize.MiByte {
			skipLen, readLen := int64(1)*humanize.MiByte, int64(1)*humanize.MiByte

import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for various potential implementations of {@code ByteSource.asCharSource(...).read()}.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
@NullUnmarked
public class ByteSourceAsCharSourceReadBenchmark {
  enum ReadStrategy {
    TO_BYTE_ARRAY_NEW_STRING {
      @Override

   * typically useful for {@code return} statements. That leaves the code with two options: Either
   * add the suppression to the whole method (which turns off checking for a large section of code),
   * or extract a variable, and put the suppression on that. However, a local variable typically
   * doesn't work: Because nullness analyses typically infer the nullness of local variables,

import org.jspecify.annotations.NullUnmarked;

/**
 * Benchmarks for various potential implementations of {@code ByteSource.asCharSource(...).read()}.
 */
// These benchmarks allocate a lot of data so use a large heap
@VmOptions({"-Xms12g", "-Xmx12g", "-d64"})
@NullUnmarked
public class ByteSourceAsCharSourceReadBenchmark {
  enum ReadStrategy {
    TO_BYTE_ARRAY_NEW_STRING {
      @Override

      description="MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads."

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \

      description="MinIO object storage is fundamentally different. Designed for performance and the S3 API, it is 100% open-source. MinIO is ideal for large, private cloud environments with stringent security requirements and delivers mission-critical availability across a diverse range of workloads."

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \

   * href="https://github.com/google/guava/issues/5756">Issue #5756</a>.
   *
   * <p>This test covers a scenario where we write a smaller amount of data first, then write a
   * large amount that crosses the threshold (transitioning from "not at threshold" to "over the
   * threshold"). (We then write some more afterward.) This differs from the existing

            assertEquals("1.0.0", gav.version());
        }

        @Test
        @DisplayName("should handle large number of POMs efficiently")
        void shouldHandleLargeNumberOfPOMsEfficiently() throws Exception {
            // Create a large number of POM documents for performance testing
            Map<Path, Document> largePomMap = new HashMap<>();

            for (int i = 0; i < 100; i++) {

    assertEquals(c, navigableSet.higher(a));
    assertEquals(c, navigableSet.higher(b));
    assertEquals(null, navigableSet.higher(c));
  }

  /*
   * TODO(cpovirk): make "too small" and "too large" elements available for better navigation
   * testing. At that point, we may be able to eliminate the "hole" tests, which would mean that
   * ContiguousSet's tests would no longer need to suppress them.
   */