//     tags:
//       - key: "name"
//         value: "pick*" # match objects with tag 'name', with all values starting with 'pick'
//     metadata:
//       - key: "content-type"
//         value: "image/*" # match objects with 'content-type', with all values starting with 'image/'
//     kmskey: "key-id" # match objects with KMS key-id (applicable only for sse-kms)
//   notify:

    "name": "ide-plugins",
    "path": "platforms/ide/ide-plugins",
    "unitTests": true,
    "functionalTests": true,
    "crossVersionTests": true
  },
  {
    "name": "input-tracking",
    "path": "platforms/core-configuration/input-tracking",
    "unitTests": true,
    "functionalTests": false,
    "crossVersionTests": false
  },
  {
    "name": "installation-beacon",

                }
              });
      assertEquals("Counts not as expected", Ints.asList(deltas), actualCounts);
    } finally {
      pool.shutdownNow();
    }

    // Since we have access to the backing map, verify that there are no zeroes in the map
    for (AtomicInteger value : map.values()) {
      assertTrue("map should not contain a zero", value.get() != 0);
    }
  }

          .build()
      return CacheStrategy(conditionalRequest, cacheResponse)
    }

    /**
     * Returns the number of milliseconds that the response was fresh for, starting from the served
     * date.
     */
    private fun computeFreshnessLifetime(): Long {
      val responseCaching = cacheResponse!!.cacheControl
      if (responseCaching.maxAgeSeconds != -1) {

			}
			if objectName != testCase.object {
				t.Errorf("failed expected bucket name \"%s\", got \"%s\"", testCase.object, objectName)
			}
		})
	}
}

// Add tests for starting and stopping different profilers.
func TestStartProfiler(t *testing.T) {
	_, err := startProfiler("")
	if err == nil {
		t.Fatal("Expected a non nil error, but nil error returned for invalid profiler.")
	}
}

               tensorflow::uint64 send_device_incarnation);

// Return a 1-D INT32 tensor containing a single value 1.
TFE_TensorHandle* TestAxisTensorHandle(TFE_Context* ctx);

// Return an op taking minimum of `input` long `axis` dimension.
TFE_Op* MinOp(TFE_Context* ctx, TFE_TensorHandle* input,
              TFE_TensorHandle* axis);

// If there is a device of type `device_type`, returns true

//	backed by this underlying array.
//	Map: An empty map is allocated with enough space to hold the
//	specified number of elements. The size may be omitted, in which case
//	a small starting size is allocated.
//	Channel: The channel's buffer is initialized with the specified
//	buffer capacity. If zero, or the size is omitted, the channel is
//	unbuffered.
func make(t Type, size ...IntegerType) Type

 * Prefer to alternate IP addresses from different address families, (IPv6 / IPv4), starting with IPv6.
 * Don't start a new attempt until 250 ms after the most recent attempt was started.
 * Keep whichever TCP connection succeeds first and cancel all the others.

					"internal-instrumentation-processor"
				]
			},
			{
				"parallelizationMethod":{
					"name":"TestDistribution"
				},
				"subprojects":[
					"testing-jvm",
					"security",
					"input-tracking",
					"service-registry-impl",
					"configuration-cache-base",
					"base-ide-plugins",
					"files",
					"stdlib-java-extensions",
					"gradle-cli",
					"build-cache-packaging",
					"build-operations"

      TF_DeleteTensor);
  ASSERT_TRUE(TF_GetCode(status.get()) == TF_OK) << TF_Message(status.get());
  ASSERT_EQ(111., *static_cast<float*>(TF_TensorData(resolved_value.get())));

  // Free the backing buffer for the variable.
  op.reset(TFE_NewOp(context.get(), "DestroyResourceOp", status.get()));
  TFE_OpAddInput(op.get(), var_handle, status.get());
  TFE_OpSetDevice(op.get(), name, status.get());