# Note that numpy 2.1.0 does not support python 3.9
numpy >= 2.0.0, < 2.2.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras

 * transformation in which case {@code x} has a constant value for all {@code y}. In the
 * non-vertical case, {@code m} is the slope of the transformation (and a horizontal transformation
 * has zero slope).
 *
 * @author Pete Gillin
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public abstract class LinearTransformation {
  /**
   * Constructor for use by subclasses inside Guava.
   *

This button will cause a Javascript alert dialog to appear asking you to type a reason for accepting the changes, e.g. "Added new API for Gradle 8.x".

Clicking okay on the dialog will cause a copy of the `accepted-public-api-changes.json` containing your (properly sorted) addition to be downloaded.

Code Cleanup
------------

IntelliJ and Android Studio offer a **Code Cleanup** feature that will automatically update
deprecated APIs with their replacements. Access this feature from the _Search Anywhere_ dialog
(double-press shift) or under the _Analyze_ menu.

We’ve included deprecated APIs in OkHttp 4.0 because they make migration easy. We will remove them

import java.util.concurrent.TimeoutException;
import junit.framework.TestCase;
import org.jspecify.annotations.NullUnmarked;

/**
 * Unit test for {@link AbstractExecutionThreadService}.
 *
 * @author Jesse Wilson
 */
@NullUnmarked
public class AbstractExecutionThreadServiceTest extends TestCase {

  private final TearDownStack tearDownStack = new TearDownStack(true);
  private final CountDownLatch enterRun = new CountDownLatch(1);

 * methods. This class uses a single thread to execute the service; consider {@link AbstractService}
 * if you would like to manage any threading manually.
 *
 * @author Jesse Wilson
 * @since 1.0
 */
@GwtIncompatible
@J2ktIncompatible
public abstract class AbstractExecutionThreadService implements Service {
  /* use AbstractService for state management */
  private final Service delegate =

/**
 * A mutable object which accumulates paired double values (e.g. points on a plane) and tracks some
 * basic statistics over all the values added so far. This class is not thread safe.
 *
 * @author Pete Gillin
 * @since 20.0
 */
@J2ktIncompatible
@GwtIncompatible
public final class PairedStatsAccumulator {
  /** Creates a new accumulator. */
  public PairedStatsAccumulator() {}

# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.11.0, < 3.15.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions ~= 4.14.1
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.5.1, < 0.6.0
auditwheel >= 6.1.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

    /**
     * Add a {@link org.apache.maven.model.Profile} that has come from an external source. This may be from a custom
     * configuration like the MavenCLI settings.xml file, or from a custom dialog in an IDE integration like M2Eclipse.
     *
     * @param profile
     */
    void addProfile(Profile profile);

    void setProfiles(List<Profile> profiles);

    List<Profile> getProfiles();

 * quantiles. All algorithms modify the dataset they are given (the cost of a copy to avoid this
 * will be constant across algorithms).
 *
 * @author Pete Gillin
 * @since 20.0
 */
@NullUnmarked
enum QuantilesAlgorithm {

  /**
   * Sorts the dataset, and picks values from it. When computing multiple quantiles, we sort once
   * and pick multiple values.
   */