// Read capabilities declared in capabilities.json
        readCapabilitiesFromJson()

        // Prevent Spock from pulling in Groovy and third-party dependencies - see https://github.com/spockframework/spock/issues/899
        applyRule<DependencyRemovalByNameRule>(
            "org.spockframework:spock-core",

  "durations" : [ {
    "testProject" : "nowInAndroidBuild",
    "linux" : 396,
    "windows" : 503,
    "macOs" : 308
  }, {
    "testProject" : "santaTrackerAndroidBuild",
    "linux" : 771,
    "windows" : 939,
    "macOs" : 557
  } ]
}, {
  "scenario" : "org.gradle.performance.regression.android.AndroidIncrementalExecutionPerformanceTest.abi change with configuration caching",
  "durations" : [ {

0000150 54 62 11 bf 36 78 b3 c7 b1 b5 f2 61 4d 4e dd 66
0000160 32 2e e6 70 34 5f f4 c9 e6 6c 43 6f da 6b c6 c3
0000170 09 2c ce 09 57 7f d2 7e b4 23 ba 7c 1b 99 bc 22
0000180 3e f1 de 91 2f e3 9c 1b 82 cc c2 84 39 aa e6 de
0000190 b4 69 fc cc cb 72 a6 61 45 f0 d3 1d 26 19 7c 8d
00001a0 29 c8 66 02 be 77 6a f9 3d 34 79 17 19 c8 96 24
00001b0 a3 ac e4 dd 3b 1a 8e c6 fe 96 38 6b bf 67 5a 23

  // Check that if we don't read to the end of a response, the next request on the
  // recycled connection doesn't get the unread tail of the first request's response.
  // http://code.google.com/p/android/issues/detail?id=2939
  @Test
  fun bug2939() {
    val response =
      MockResponse
        .Builder()
        .chunkedBody("ABCDE\nFGHIJ\nKLMNO\nPQR", 8)
        .build()
    server.enqueue(response)

* Fix Pydantic field clone logic. PR [#899](https://github.com/tiangolo/fastapi/pull/899) by [@deuce2367](https://github.com/deuce2367).
* Fix link in middleware docs. PR [#893](https://github.com/tiangolo/fastapi/pull/893) by [@linchiwei123](https://github.com/linchiwei123).

    * Discussion for these changes can be found on SIG Build's [TensorFlow Community Forum thread](https://discuss.tensorflow.org/t/tensorflow-linux-wheels-are-being-upgraded-to-manylinux2014/8339)
*   The `tf.keras.mixed_precision.experimental` API has been removed. The non-experimental symbols under `tf.keras.mixed_precision` have been available since TensorFlow 2.4 and should be used instead.