// Specifically requesting the GradleUserHomeTemporaryFileProvider to ensure that the temporary files are created on the same file system as the target directory
    // This is a prerequisite for atomic moves in most cases, which are used in the provisionFromArchive method
    private final GradleUserHomeTemporaryFileProvider temporaryFileProvider;

    @Inject
    public DefaultJdkCacheDirectory(

}

// moveFiles moves files from one directory to another.
func moveFiles(files map[string]string) error {
	filesToRecover := make(map[string]string, len(files))
	for from, to := range files {
		if err := os.Rename(from, to); err != nil {
			return rollbackFiles(filesToRecover, err)
		}
		filesToRecover[to] = from
	}
	return nil
}

// rollbackFiles moves the files back to the original directory.

}

// MoveToFront moves element e to the front of list l.
// If e is not an element of l, the list is not modified.
// The element must not be nil.
func (l *_List[T]) MoveToFront(e *_Element[T]) {
	if e.list != l || l.root.next == e {
		return
	}
	// see comment in _List.Remove about initialization of l
	l.move(e, &l.root)
}

// MoveToBack moves element e to the back of list l.

	UpdatedAt time.Time
}

func (l *lastDayTierStats) addStats(ts tierStats) {
	now := time.Now()
	l.forwardTo(now)

	nowIdx := now.Hour()
	l.Bins[nowIdx] = l.Bins[nowIdx].add(ts)
}

// forwardTo moves time to t, clearing entries between last update and t.
func (l *lastDayTierStats) forwardTo(t time.Time) {
	if t.IsZero() {
		t = time.Now()
	}

	since := t.Sub(l.UpdatedAt).Hours()

import java.nio.file.StandardCopyOption;

/**
 * Default implementation of {@link ClasspathBuilder} that is registered also as a service.
 * <p>
 * This implementation first writes Jar file to a temp file and then moves the result to the destination file.
 * You can use {@link InPlaceClasspathBuilder} if you want to avoid this indirection and write directly to the destination file.
 * <p>

// whose value is broacast to all replicas.
std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>>
CreateHoistBroadcastReadPass();

// Creates a pass that moves broadcasts from TF host ops to XLA code, encoded as
// XlaAllReduces. This enables use of the device network for broadcasts, which
// is faster.
std::unique_ptr<mlir::OperationPass<mlir::func::FuncOp>>
CreateXlaBroadcastPass();

		if n > 0 {
			written += int64(n)
			remain -= int64(n)
			p.data -= n
		}
	}
	if err != nil {
		return written, handled, err
	}
	return written, true, nil
}

// spliceDrain moves data from a socket to a pipe.
//
// Invariant: when entering spliceDrain, the pipe is empty. It is either in its
// initial state, or splicePump has emptied it previously.
//

to the actual TensorFlow wheel.
3. Creates a `requirements_lock_<python_version>.txt` file.
4. Updates the `requirements_lock_<python_version>.txt` file using
a Bazel command.
5. Moves the updated `requirements_lock_<python_version>.txt` file
to the `../wheel_test/` directory.


### How it Works in the Presubmit Job

`_requirements_lock` files will be generated by the presubmit job. A detailed

}

def XlaBroadcastPass : Pass<"tf-xla-broadcast", "mlir::func::FuncOp"> {
  let summary = "Moves a broadcast from host into XLA, encoded as XlaAllReduce";

  let description = [{
    This pass moves brodcasts from host TF ops into XLA. This enables use of
    the inter-device network, which is faster than the inter-host network.

// replace mixed-type convolution and matmul cast hacks by XLA Conv2DOp and
// MatmulOp.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateReplaceCastHacksWithTFXLAOpsPass();

// Creates a pass that moves & merges initializer function's ops into the @main
// function. This pass should be run on a valid tf_executor dialect. The control
// output of the initializer function for non-variable resource initialization