def value = property.calculateValue(ValueSupplier.ValueConsumer.IgnoreUnsafeRead)
        def executionTimeValue = property.calculateExecutionTimeValue()
        then:
        0 * _ // no side effects until values are unpacked

        when:
        def unpackedValue = value.get()
        then:
        unpackedValue == toImmutable(expectedUnpackedValue)
        1 * sideEffect1.execute("some value")

absl::StatusOr<mhlo::TupleOp> Tf2XlaRewriter::CompileWithHloImporter(
    tensorflow::OpKernelContext& op_context) {
  // XLA can only return a single value. Wrap all output op return values
  // in a Tuple op that gets unpacked later.
  std::vector<xla::XlaOp> output_values;
  for (int i = 0, e = op_->getNumResults(); i < e; i++) {
    tensorflow::Tensor* output = op_context.mutable_output(i);
    const tensorflow::XlaExpression* expr =

        property.calculateValue(ValueSupplier.ValueConsumer.IgnoreUnsafeRead)
        property.calculateExecutionTimeValue()

        then:
        0 * _ // no side effects when calling setter or calculated values are not unpacked

        when:
        def unpackedValue = getter(property, getter, someOtherValue())

        then:
        unpackedValue == someValue()
        1 * sideEffect.execute(someValue())
        0 * _

- You can supply any type implementing link:{groovyDslPath}/org.gradle.api.artifacts.transform.TransformAction.html[TransformAction] to the `registerTransform()` method.

For example, imagine you want to unpack some dependencies and put the unpacked directories and files on the classpath.
You can do so by registering an artifact transform action of type `Unzip`, as shown here:

.Artifact transform registration without parameters
====

  template <class T>
  friend tensorflow::StatusOr<T> Cast(Handle handle);
  /// Infrastructure for converting a TaggedValue tuple function signature to an
  /// unpacked variable list.
  template <typename Fn, class TRET, class... ArgsOut>
  friend class UneraseCallHelper;
};

// Forward declare.
template <class T>
tensorflow::StatusOr<T> Cast(Handle handle);

            myTask.nested = [new NamedBean('name', 'value1'), new NamedBean('name', 'value2')]
        """

        expect:
        succeeds "myTask"
    }

    def "nested Provider is unpacked"() {
        buildFile << taskWithNestedInput()
        buildFile << nestedBeanWithStringInput()
        buildFile << """
            myTask.nested = provider { new NestedBean(providers.gradleProperty('input').get()) }

stored), followed by the usual encoding of concrete (dynamic) value stored in
the interface value. (A nil interface value is identified by the empty string
and transmits no value.) Upon receipt, the decoder verifies that the unpacked
concrete item satisfies the interface of the receiving variable.

If a value is passed to [Encoder.Encode] and the type is not a struct (or pointer to struct,

				check.methods[base] = append(check.methods[base], m.obj)
			}
		}
	}
}

// unpackRecv unpacks a receiver type and returns its components: ptr indicates whether
// rtyp is a pointer receiver, rname is the receiver type name, and tparams are its
// type parameters, if any. The type parameters are only unpacked if unpackParams is
// set. If rname is nil, the receiver is unusable (i.e., the source has a bug which we

			check.methods[base] = append(check.methods[base], m.obj)
		}
	}
}

// unpackRecv unpacks a receiver type and returns its components: ptr indicates whether
// rtyp is a pointer receiver, rname is the receiver type name, and tparams are its
// type parameters, if any. The type parameters are only unpacked if unpackParams is
// set. If rname is nil, the receiver is unusable (i.e., the source has a bug which we

  },  {
    "mhlo.return"(%arg1) : (tensor<f32>) -> ()
  }) : (tensor<i1>) -> tensor<f32>
  func.return %1 : tensor<f32>
}

// -----

// Tests `mhlo.if` with tuple arg not from a `mhlo.tuple` is unpacked.

// CHECK-LABEL: func @if_unpack_tuple_arg
// CHECK-SAME:  ([[ARG0:%.*]]: tensor<i1>, [[ARG1:%.*]]: tuple<tensor<f32>, tensor<f32>>)