def "can read from stream and then restart to use another stream"() {
        def input1 = encoded("string 1")
        def input2 = encoded("string 2")

        given:
        def decoder = new KryoBackedDecoder(input1)
        decoder.readString()
        decoder.restart(input2)

        expect:
        decoder.readPosition == 0
        decoder.readString() == "string 2"

    def setup() {
        INVOCATION_COUNT.set(0)
    }

    def "input artifact selection is restored when using the in-memory cache"() {
        def transform = registerTransform(IdentityTransform)

        def inputArtifact1 = file("input1/input.txt")
        inputArtifact1.text = "Hello"

        def inputArtifact2 = file("input2/input.txt")
        inputArtifact2.text = "Hello"

        expect:

        return new AbstractModelAction<T>(reference, descriptor, input1, input2) {
            @Override
            public void execute(MutableModelNode modelNode, List<ModelView<?>> inputs) {
                action.execute(modelNode,
                    Cast.<I>uncheckedCast(inputs.get(0).getInstance()),
                    Cast.<J>uncheckedCast(inputs.get(1).getInstance())
                );
            }
        };
    }

        then:
        ruleAction.inputTypes == []
        closureCalled == "it"

        when:
        ruleAction = ruleActionAdapter.createFromClosure(String, { String s, String input1, Integer input2 -> closureCalled = input1 + input2 })
        ruleAction.execute("", ["foo", 3])

        then:
        ruleAction.inputTypes == [String, Integer]
        closureCalled == "foo3"
    }

    def "can adapt from action" () {

// CHECK-NEXT:    } ],
// CHECK-NEXT:    inputs: [ 0, 1 ],
// CHECK-NEXT:    outputs: [ 6, 5 ],
// CHECK-NEXT:    operators: [ {
// CHECK-NEXT:      inputs: [ 0, 3, 2 ],
// CHECK-NEXT:      outputs: [ 5 ],
// CHECK-NEXT:      builtin_options_type: FullyConnectedOptions,
// CHECK-NEXT:      builtin_options: {
// CHECK-EMPTY:
// CHECK-NEXT:      }
// CHECK-NEXT:    }, {
// CHECK-NEXT:      inputs: [ 0, 4, 2 ],

    }

    def "out-of-date when input file changes"() {
        given:
        def inputFile = file("input.txt")
        inputFile.text = "foo"
        buildFile << """
            ${keyInfo.addAsPropertiesScript()}
            signing {
                ${signingConfiguration()}
            }
            task signCustomFile(type: Sign) {
                sign(file("input.txt"))
            }
        """

  func.return %2 : tensor<3x2xf32>
}

// -----

// CHECK-LABEL: func @uniform_quantized_add_bias_not_const
func.func @uniform_quantized_add_bias_not_const(%input1: tensor<3x2xi32>, %input2: tensor<2xi32>) -> tensor<3x2xi32> {
  %input_scales = "tf.Const"() { value = dense<2.0> : tensor<f32> } : () -> tensor<f32>
  %input_zps = "tf.Const"() { value = dense<4> : tensor<i32> } : () -> tensor<i32>

      %outputs_5, %control_6 = tf_executor.island wraps "tf.TPUReplicatedInput"(%outputs_3) {N = 1 : i64, T = "tfdtype$DT_FLOAT", device = "", name = "input0"} : (tensor<0xf32>) -> tensor<0xf32>

package norm

import "unicode/utf8"

type input struct {
	str   string
	bytes []byte
}

func inputBytes(str []byte) input {
	return input{bytes: str}
}

func inputString(str string) input {
	return input{str: str}
}

func (in *input) setBytes(str []byte) {
	in.str = ""
	in.bytes = str
}

func (in *input) setString(str string) {
	in.str = str
	in.bytes = nil
}

 * limitations under the License.
 */
package org.gradle.api.tasks;

import java.lang.annotation.*;

/**
 * <p>Attached to a task property to indicate that the property specifies some input value for the task.</p>
 *
 * <p>This annotation should be attached to the getter method in Java or the property in Groovy.
 * Annotations on setters or just the field in Java are ignored.</p>
 *