.addEqualityGroup(isNull)
        .addEqualityGroup(Equivalence.identity().equivalentTo("1"))
        .testEquals();
  }

  /*
   * We use large numbers to avoid the integer cache. Normally, we'd accomplish that merely by using
   * `new Integer` (as we do) instead of `Integer.valueOf`. However, under J2KT, `new Integer`

# ADR-0004 - Use a platform-oriented architecture for Gradle

## Date

2024-02-07

## Context

The Gradle code base is essentially a large monolith, without strong internal boundaries.
This has a number of negative effects on productivity, including:

- Unclear ownership of code.
- Difficult to focus on one particular area.
- Unintended coupling between areas of the code, including tests.

## Decision

      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.

        } else {
          val dynamicTableIndex = dynamicTableIndex(index - STATIC_HEADER_TABLE.size)
          if (dynamicTableIndex < 0 || dynamicTableIndex >= dynamicTable.size) {
            throw IOException("Header index too large ${index + 1}")
          }
          headerList += dynamicTable[dynamicTableIndex]!!
        }
      }

      // referencedHeaders is relative to nextHeaderIndex + 1.

	SRLIW	$-1, X5, X6			// ERROR "immediate out of range 0 to 31"
	SRAIW	$-1, X5, X6			// ERROR "immediate out of range 0 to 31"
	SD	X5, 4294967296(X6)		// ERROR "constant 4294967296 too large"
	SRLI	$1, X5, F1			// ERROR "expected integer register in rd position but got non-integer register F1"
	SRLI	$1, F1, X5			// ERROR "expected integer register in rs1 position but got non-integer register F1"

      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 \

        testCoverage: TestCoverage,
        parallelization: (Int) -> ParallelizationMethod
    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end

export MC_HOST_minio1=http://minr0otUS2r:pBU94AGAY85e@localhost:9001
export MC_HOST_minio3=http://minr0otUS2r:pBU94AGAY85e@localhost:9003

./mc ready minio1
./mc ready minio3

./mc mb minio1/testbucket
# copy large upload to newbucket on minio1
truncate -s 17M lrgfile
expected_checksum=$(cat ./lrgfile | md5sum)

./mc cp ./lrgfile minio1/testbucket

actual_checksum=$(./mc cat minio3/testbucket/lrgfile | md5sum)

			return fmt.Errorf("Default retention period too large for 'Days' %d", *retention.Days)
		}
	} else if *retention.Years == 0 {
		return fmt.Errorf("Default retention period must be a positive integer value for 'Years'")
	} else if *retention.Years > maximumRetentionYears {
		return fmt.Errorf("Default retention period too large for 'Years' %d", *retention.Years)
	}

	*dr = DefaultRetention(retention)

         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.
         * This avoids out-of-control memory consumption, and it keeps the cache from growing so
         * large that doing the lookup is noticeably slower than redoing the work would be.
         *
         * Ideally we'd have a real eviction policy, but until we see a problem in practice, I hope