}
  }

  // Incorrect expected present count.

  @CollectionFeature.Require(SUPPORTS_ADD)
  public void testSetCountConditional_oldCountTooLarge() {
    assertFalse(
        "setCount() with a too-large oldCount should return false",
        getMultiset().setCount(e0(), 2, 3));
    expectUnchanged();
  }

  @CollectionSize.Require(absent = ZERO)
  @CollectionFeature.Require(SUPPORTS_ADD)

	opReadRune4 readOp = 4  // Read rune of size 4.
)

// ErrTooLarge is passed to panic if memory cannot be allocated to store data in a buffer.
var ErrTooLarge = errors.New("bytes.Buffer: too large")
var errNegativeRead = errors.New("bytes.Buffer: reader returned negative count from Read")

const maxInt = int(^uint(0) >> 1)

// Bytes returns a slice of length b.Len() holding the unread portion of the buffer.

    "groups" : [ {
      "testProject" : "excludeRuleMergingBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.corefeature.LargeDependencyGraphPerformanceTest.resolve large dependency graph (parallel = false, locking = true)",

        assertNotNull(deserialized.getData());
    }

    /**
     * Test transformer with large data
     */
    public void test_transformerWithLargeData() {
        TestTransformer transformer = new TestTransformer("largeDataTransformer");

        // Create large response data
        byte[] largeBody = new byte[10 * 1024 * 1024]; // 10MB
        for (int i = 0; i < largeBody.length; i++) {

    int NT_STATUS_PENDING = 0x00000103;
    /** A notify change request is being completed and information is being returned */
    int NT_STATUS_NOTIFY_ENUM_DIR = 0x0000010C;
    /** The data was too large to fit into the specified buffer */
    int NT_STATUS_BUFFER_OVERFLOW = 0x80000005;
    /** The requested operation was unsuccessful */
    int NT_STATUS_UNSUCCESSFUL = 0xC0000001;

 * or construct a string representation.  The tests focus on:
 *
 * <ul>
 *   <li>happy‑path behaviour</li>
 *   <li>boundary arguments (e.g., negative indices, large values)</li>
 *   <li>string representation containing the class name</li>
 *   <li>null buffer handling</li>
 * </ul>
 */
final class TransWaitNamedPipeResponseTest {

    /**

        axesSizeProduct[i] = Math.multiplyExact(axesSizeProduct[i + 1], axes.get(i).size());
      }
    } catch (ArithmeticException e) {
      throw new IllegalArgumentException(
          "Cartesian product too large; must have size at most Integer.MAX_VALUE");
    }
    this.axesSizeProduct = axesSizeProduct;
  }

  private int getAxisIndexForProductIndex(int index, int axis) {

        
        int dataSize = getDataSize(request);
        return dataSize > 8192 && dataSize <= maxReadWriteSize;  // Use RDMA for large transfers
    }
    
    private void sendWithRdmaReadWrite(ServerMessageBlock2 request) throws IOException {
        // For large data transfers, use RDMA read/write
        
        if (request instanceof Smb2ReadRequest) {
            handleRdmaRead((Smb2ReadRequest) request);

            // With size = 6 * 2 = 12, should produce "000F107F80FF"
            assertTrue(result.contains("000F107F80FF"));
        }

        @Test
        @DisplayName("Large challenge array is handled correctly")
        void testLargeChallengeArray() {
            byte[] challenge = new byte[16];
            for (int i = 0; i < 16; i++) {
                challenge[i] = (byte) i;

cff-version: 1.2.0
message: "If you use TensorFlow in your research, please cite it using these metadata. Software is available from tensorflow.org."
title: TensorFlow, Large-scale machine learning on heterogeneous systems