Its type must be a <a href="#Type_definitions">defined</a> type <code>T</code> or a
pointer to a defined type <code>T</code>, possibly followed by a list of type parameter
names <code>[P1, P2, …]</code> enclosed in square brackets.
<code>T</code> is called the receiver <i>base type</i>. A receiver base type cannot be
a pointer or interface type and it must be defined in the same package as the method.

// the [Scanner.Scan] method will step through the 'tokens' of a file, skipping
// the bytes between the tokens. The specification of a token is
// defined by a split function of type [SplitFunc]; the default split
// function breaks the input into lines with line termination stripped. [Scanner.Split]
// functions are defined in this package for scanning a file into
// lines, bytes, UTF-8-encoded runes, and space-delimited words. The

                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

      :
#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        api_def_map(op_list),
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
        update_docs_called(false) {
  }

#if !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)
  tensorflow::ApiDefMap api_def_map TF_GUARDED_BY(lock);
#endif  // !defined(IS_MOBILE_PLATFORM) && !defined(IS_SLIM_BUILD)

    }
    return endpoints;
  }

  // NOTE: this should work as long as the delegate graph's implementation of edges() (like that of
  // AbstractGraph) derives its behavior from calling successors().
  private static final class TransposedGraph<N> extends ForwardingGraph<N> {
    private final Graph<N> graph;

    TransposedGraph(Graph<N> graph) {
      this.graph = graph;

    }
    return endpoints;
  }

  // NOTE: this should work as long as the delegate graph's implementation of edges() (like that of
  // AbstractGraph) derives its behavior from calling successors().
  private static final class TransposedGraph<N> extends ForwardingGraph<N> {
    private final Graph<N> graph;

    TransposedGraph(Graph<N> graph) {
      this.graph = graph;

`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...

                final int _arrays = count;
                _dst.enc_ndr_long(_arrays);
                final int _arrayi = _dst.index;
                _dst.advance(4 * _arrays);

                _dst = _dst.derive(_arrayi);
                for (int _i = 0; _i < _arrays; _i++) {
                    array[_i].encode(_dst);
                }
            }
        }

        @Override

            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

pkg database/sql/driver, type IsolationLevel int
pkg database/sql/driver, type NamedValue struct
pkg database/sql/driver, type NamedValue struct, Name string
pkg database/sql/driver, type NamedValue struct, Ordinal int
pkg database/sql/driver, type NamedValue struct, Value Value
pkg database/sql/driver, type Pinger interface { Ping }