}
    } ]
  }, {
    "testId" : "org.gradle.performance.regression.android.RealLifeAndroidBuildPerformanceTest.calculate task graph with test finalizer",
    "groups" : [ {
      "testProject" : "largeAndroidBuild",
      "coverage" : {
        "per_commit" : [ "linux" ]
      }
    } ]
  }, {

  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 348,
    "windows" : 461,
    "macOs" : 314
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 461,
    "windows" : 823,
    "macOs" : 385
  } ]
}, {

            adHocPerformanceTest(
                listOf(
                    "org.gradle.performance.regression.java.JavaIDEModelPerformanceTest.get IDE model for IDEA",
                    "org.gradle.performance.regression.java.JavaUpToDatePerformanceTest.up-to-date assemble (parallel true)",
                    "org.gradle.performance.regression.corefeature.TaskAvoidancePerformanceTest.help with lazy and eager tasks",
                ),
            )

    val channel: String,
    val extraParameters: String = "",
) {
    PER_COMMIT(
        displayName = "Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_DAY(
        displayName = "Slow Performance Regression Test",
        timeout = 420,
        channel = "commits",
    ),
    PER_WEEK(
        displayName = "Performance Experiment",

                description =
                    "Which performance test to run. Should be the fully qualified class name dot (unrolled) method name. " +
                        "E.g. org.gradle.performance.regression.java.JavaUpToDatePerformanceTest.up-to-date assemble (parallel true)",
            )
            text(
                "testJavaVersion",
                "17",
                display = ParameterDisplay.PROMPT,

		}
		if opts.VersionPurgeStatus() == replication.VersionPurgeComplete {
			markDelete = false
		}
		// now, since VersionPurgeStatus() is already set, we can let the
		// lower layers decide this. This fixes a regression that was introduced
		// in PR #14555 where !VersionPurgeStatus.Empty() is automatically
		// considered as Delete marker true to avoid listing such objects by

        Note that `jit_compile=True` may not necessarily work for all models.

*   Deterministic Op Functionality:

    *   Fix regression in deterministic selection of deterministic cuDNN
        convolution algorithms, a regression that was introduced in v2.5. Note
        that nondeterministic out-of-memory events while selecting algorithms

  metagraph_def.ParseFromArray(metagraph->data, metagraph->length);
  TF_DeleteBuffer(metagraph);

  EXPECT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);
  CSession csession(session);

  // Retrieve the regression signature from meta graph def.
  const auto signature_def_map = metagraph_def.signature_def();
  const auto signature_def = signature_def_map.at("regress_x_to_y");

  const string input_name =

        assertSame(clock, newClock, "withZone() should return the same clock instance");
    }

    @Test
    @DisplayName("MonotonicClock should maintain monotonic time progression")
    void testMonotonicBehavior() throws InterruptedException {
        Instant first = MonotonicClock.now();
        Thread.sleep(10); // Small delay
        Instant second = MonotonicClock.now();

## 0.114.2

### Fixes

* 🐛 Fix form field regression with `alias`. PR [#12194](https://github.com/fastapi/fastapi/pull/12194) by [@Wurstnase](https://github.com/Wurstnase).

### Translations