namespace tensorflow {
namespace quantization {

// Saves variables in `module_op` to the checkpoint file inside `prefix`.
// It finds variables that are initialized with "tf.AssignVariableOp" inside the
// initializer function with type "restore_op". The "tf.Const"s used to
// initialize the variables are saved. This function does not modify the
// `module_op`. Returns a list of saved names of the saved variables.

WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
*/

package initializer

import (
	"net/url"
	"testing"

	"k8s.io/apiserver/pkg/admission"
	"k8s.io/apiserver/pkg/util/webhook"
)

type doNothingAdmission struct{}

        }

    override val backingFieldSymbol: KaBackingFieldSymbol?
        get() = withValidityAssertion { null }

    override val initializer: KaInitializerValue?
        get() = withValidityAssertion { createKtInitializerValue((psi as? KtProperty)?.initializer, descriptor, analysisContext) }

    override val callableId: CallableId?
        get() = withValidityAssertion { descriptor.callableIdIfNotLocal }

// Use of this source code is governed by a BSD-style
// license that can be found in the LICENSE file.

package main

func Map[F, T any](s []F, f func(F) T) []T { return nil }

func Reduce[Elem1, Elem2 any](s []Elem1, initializer Elem2, f func(Elem2, Elem1) Elem2) Elem2 { var x Elem2; return x }

func main() {
	var s []int
	var f1 func(int) float64
	var f2 func(float64, int) float64
	_ = Map[int](s, f1)
	_ = Map(s, f1)

           "the values of the VarHandleOps that are found in the initializer "
           "function of 'restore_op' type.";
  }

  void runOnOperation() override;
};

// Finds `tf.AssignVariableOp(tf.VarHandleOp, tf.Const)` patterns and removes
// `tf.AssignVariableOp`s and `tf.Const`s. Collects and returns the
// `tf.VarHandleOp`s that are initialized by these `tf.AssignVariableOp`s.
SmallVector<TF::VarHandleOp> CollectVariableOps(

import org.gradle.api.specs.Spec;
import org.gradle.model.internal.type.ModelType;

public interface ChildNodeInitializerStrategy<T> {

    // Node must project item as S
    <S extends T> NodeInitializer initializer(ModelType<S> type, Spec<ModelType<?>> constraints);

        skipped(":c:${language.compileTaskName}")
    }

    // Note: In Groovy the generated constructor is not the same anymore as the empty one (it's annotated now)
    def "doesn't recompile when empty initializer, static initializer or constructor is added"() {
        given:
        buildFile << """
            project(':b') {
                dependencies {
                    implementation project(':a')
                }

    init {
        check(firSymbol.source?.kind == KtFakeSourceElementKind.EnumInitializer) {
            "Expected the `firSymbol` of ${KaFirEnumEntryInitializerSymbol::class.simpleName} to have an enum initializer fake source kind."
        }
    }

    /**
     * [KaFirEnumEntryInitializerSymbol] is the required return type instead of [KaEnumEntryInitializerSymbol] to fulfill return type

main.go.c:24: error: for each function it appears in.)
main.go.c:24: error: syntax error before ‘def’
main.go.c:24: error: missing terminating " character
main.go.c:25: warning: excess elements in struct initializer
main.go.c:25: warning: (near initialization for ‘slit’)
main.go.c:36: error: syntax error at end of input

		r[i] = f(v)
	}
	return r
}

// Reduce reduces a []Elem1 to a single value of type Elem2 using
// a reduction function.
func Reduce[Elem1, Elem2 any](s []Elem1, initializer Elem2, f func(Elem2, Elem1) Elem2) Elem2 {
	r := initializer
	for _, v := range s {
		r = f(r, v)
	}
	return r
}

// Filter filters values from a slice using a filter function.
func Filter[Elem any](s []Elem, f func(Elem) bool) []Elem {