}

	rootDiskCount := 0
	for _, di := range disksInfo {
		if di.RootDisk {
			rootDiskCount++
		}
	}

	// Count offline disks as well to ensure consistent
	// reportability of offline drives on local setups.
	if len(disksInfo) == (rootDiskCount + offlineDisks.Sum()) {
		// Success.
		return onlineDisks, offlineDisks
	}

	// Root disk should be considered offline
	for i := range disksInfo {

version: v1
address: ':9000'
console-address: ':9001'
certs-dir: '/home/user/.minio/certs/'
pools: # Specify the nodes and drives with pools
  -
        - 'https://server-example-pool1:9000/mnt/disk{1...4}/'
        - 'https://server{1...2}-pool1:9000/mnt/disk{1...4}/'
        - 'https://server3-pool1:9000/mnt/disk{1...4}/'
        - 'https://server4-pool1:9000/mnt/disk{1...4}/'
  -
        - 'https://server-example-pool2:9000/mnt/disk{1...4}/'

                final int _ss = this.count;
                _dst.enc_ndr_long(_ss);
                final int _si = _dst.index;
                _dst.advance(4 * _ss);

                _dst = _dst.derive(_si);
                for (int _i = 0; _i < _ss; _i++) {
                    this.s[_i].encode(_dst);
                }
            }
        }

        @Override

type SetupType int

const (
	// UnknownSetupType - starts with unknown setup type.
	UnknownSetupType SetupType = iota

	// FSSetupType - FS setup type enum.
	FSSetupType

	// ErasureSDSetupType - Erasure single drive setup enum.
	ErasureSDSetupType

	// ErasureSetupType - Erasure setup type enum.
	ErasureSetupType

	// DistErasureSetupType - Distributed Erasure setup type enum.
	DistErasureSetupType
)

            uuid.clock_seq_low = (byte) 0x22;
            uuid.node = new byte[] { (byte) 0xAA, (byte) 0xBB, (byte) 0xCC, (byte) 0xDD, (byte) 0xEE, (byte) 0xFF };

            // Mock the derive method to return a buffer for node encoding
            when(mockNdrBuffer.derive(anyInt())).thenReturn(mockNdrBuffer);

            // When: Encoding the UUID
            uuid.encode(mockNdrBuffer);

            // Then: Verify the encoding sequence

            _dst.advance(4 * _sub_authoritys);

            _dst = _dst.derive(_identifier_authorityi);
            for (int _i = 0; _i < _identifier_authoritys; _i++) {
                _dst.enc_ndr_small(identifier_authority[_i]);
            }
            _dst = _dst.derive(_sub_authorityi);
            for (int _i = 0; _i < _sub_authoritys; _i++) {

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            s = file.getPath();
        } else if (file.getPath().startsWith(File.separator)) {
            // drive-relative Windows path, don't align with project directory but with drive root
            s = file.getAbsolutePath();
        } else {
            // an ordinary relative path, align with project directory

version:
address: ':9000'
console-address: ':9001'
certs-dir: '/home/user/.minio/certs/'
pools: # Specify the nodes and drives with pools
  -
        - 'https://server-example-pool1:9000/mnt/disk{1...4}/'
        - 'https://server1-pool1:9000/mnt/disk{1...4}/'
        - 'https://server3-pool1:9000/mnt/disk{1...4}/'
        - 'https://server4-pool1:9000/mnt/disk{1...4}/'
  -
        - 'https://server-example-pool2:9000/mnt/disk{1...4}/'

`tensorflow` pip package has a new, optional installation method for Linux that installs necessary Nvidia CUDA libraries through pip. As long as the Nvidia driver is already installed on the system, you may now run `pip install tensorflow[and-cuda]` to install TensorFlow's Nvidia CUDA library dependencies in the Python environment. Aside from the Nvidia driver, no other pre-existing Nvidia CUDA packages are necessary.

*   Enable JIT-compiled i64-indexed kernels on GPU for large tensors with more...