verify(supplier, times(1)).get();
        verifyNoMoreInteractions(supplier);
    }

    @Test
    @DisplayName("No collaborator interaction occurs if exception is thrown beforehand")
    void noInteraction_whenExceptionOccursBeforeCall() {
        // Arrange
        Runnable r = mock(Runnable.class);

### Embedding a Java runtime in the Gradle distribution

There have been discussions on embedding a Java runtime in the Gradle distribution.
This would allow users to run Gradle without having to install a Java runtime beforehand.
This capability could help increase Gradle adoption outside of the JVM ecosystem.

Gradle can be invoked in different ways:
* Through the [Gradle Wrapper](https://docs.gradle.org/8.8/userguide/gradle_wrapper.html)

## Bodies of arbitrary `dict`s { #bodies-of-arbitrary-dicts }

You can also declare a body as a `dict` with keys of some type and values of some other type.

This way, you don't have to know beforehand what the valid field/attribute names are (as would be the case with Pydantic models).

This would be useful if you want to receive keys that you don't already know.

---

     * course of a call to {@code remove()}. Thus, the expectation doesn't hold that {@code
     * map.remove(x)} returns the same value which {@code map.get(x)} did immediately beforehand.
     */
    @Override
    public void testRemove() {
      Map<String, Map<Integer, Character>> map;
      try {
        map = makePopulatedMap();
      } catch (UnsupportedOperationException e) {

     * course of a call to {@code remove()}. Thus, the expectation doesn't hold that {@code
     * map.remove(x)} returns the same value which {@code map.get(x)} did immediately beforehand.
     */
    @Override
    public void testRemove() {
      Map<String, Map<Integer, Character>> map;
      try {
        map = makePopulatedMap();
      } catch (UnsupportedOperationException e) {

*   Hot-fix was needed for an issue affecting the TensorFlow installation
    process.
    *   TensorFlow 2.15.0 Python package was requesting `tensorrt`-related
        packages that cannot be found unless the user installs them beforehand
        or provides additional installation flags.
    *   This dependency affected anyone installing TensorFlow 2.15 alongside
        NVIDIA CUDA dependencies via `pip install tensorflow[and-cuda]`.

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