swap(array, from, to);
        }
        if (array[from + 1] > array[to]) {
          swap(array, from + 1, to);
        }
        if (array[from] > array[from + 1]) {
          swap(array, from, from + 1);
        }

        // Perform a partition with the selected median.
        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.

          swap(array, from, to);
        }
        if (array[from + 1] > array[to]) {
          swap(array, from + 1, to);
        }
        if (array[from] > array[from + 1]) {
          swap(array, from, from + 1);
        }

        // Perform a partition with the selected median.
        int low = from + 1, high = to; // Indexes for partitioning.
        double partition = array[from + 1]; // Choose partitioning element.

    if (!v2_reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, v2_reader_->status());
      return;
    }
    auto result = BuildV2VarMaps();
    var_to_shape_map_.swap(result.first);
    var_to_data_type_map_.swap(result.second);
  } else {
    reader_.reset(new TensorSliceReader(filename));
    if (!reader_->status().ok()) {
      tsl::Set_TF_Status_from_Status(status, reader_->status());
      return;

force_latency=1
governor=performance
energy_perf_bias=performance
min_perf_pct=100

[sysctl]
fs.xfs.xfssyncd_centisecs=72000
net.core.busy_read=50
net.core.busy_poll=50
kernel.numa_balancing=1

# Do not use swap at all
vm.swappiness=0
vm.vfs_cache_pressure=50

# Start writeback at 3% memory
vm.dirty_background_ratio=3
# Force writeback at 10% memory
vm.dirty_ratio=10

# Quite a few memory map

 * desirable to use in some unit tests. More importantly, attempting to debug a call which is
 * time-limited would be extremely annoying, so this gives you a time-limiter you can easily swap in
 * for your real time-limiter while you're debugging.
 *
 * @author Kevin Bourrillion
 * @author Jens Nyman
 * @since 1.0
 */
@J2ktIncompatible
@GwtIncompatible

      // We must switch the old buffer to read mode to extract data
      Java8Compatibility.flip(buffer);

      newBuffer.put(buffer);

      // Swap references, newBuffer is already in write mode at the correct position
      this.buffer = newBuffer;
    }

    @Override
    public Hasher putByte(byte b) {
      ensureCapacity(Byte.BYTES);

// setting functional attributes of other composite ops e.g. control flow.
typedef struct TF_AbstractFunction TF_AbstractFunction;

// This allows the client to swap the implementation of the tracing engine.
// Any future call to TF_CreateFunction will use the implementation defined
// here.
void TF_SetTracingImplementation(const char* name, TF_Status*);

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

1. We still import `field` from standard `dataclasses`.

        .exclude("**/*.zip")
        .exclude("**/*.jks")
        .exclude("**/*.crt")
        .exclude("**/*.keystore")
        .exclude("**/*.png")
        // vim swap file - included here to stop the build falling over if you happen to have a file open :-|
        .exclude("**/.*.swp");

    /*
     * The rules: a map from the rule name, to a rule regex pattern.
     */
    private final Map<String, String> patterns = new HashMap<>();

@import url(https://cdn.jsdelivr.net/npm/firacode@6.2.0/distr/fira_code.css);
/* Noto Color Emoji for emoji support with the same font everywhere */
@import url(https://fonts.googleapis.com/css2?family=Noto+Color+Emoji&display=swap);

/* Override default code font in Material for MkDocs to Fira Code */
:root {
    --md-code-font: "Fira Code", monospace, "Noto Color Emoji";
}