// This will ensure that all claims are unprepared even if pods get deleted unexpectedly.
	Start(activePods ActivePodsFunc, sourcesReady config.SourcesReady) error

	// PrepareResources prepares resources for a pod.
	// It communicates with the DRA resource plugin to prepare resources.
	PrepareResources(pod *v1.Pod) error

	// UnprepareResources calls NodeUnprepareResource GRPC from DRA plugin to unprepare pod resources
	UnprepareResources(pod *v1.Pod) error

        given:
        resolve = new ResolveTestFixture(buildFile, "compileClasspath")
        resolve.prepare()
        if (compileClasspathPackaging) {
            propertiesFile << """
                systemProp.org.gradle.java.compile-classpath-packaging=true
            """.trim()
        }

// by multiple goroutines.
//
// Conn is assumed to be stateful.
type Conn interface {
	// Prepare returns a prepared statement, bound to this connection.
	Prepare(query string) (Stmt, error)

	// Close invalidates and potentially stops any current
	// prepared statements and transactions, marking this
	// connection as no longer in use.
	//
	// Because the sql package maintains a free pool of

                }
                dependencies {
                    'default'('com.acme.external:external:1.0')
                }
            }
        '''
        resolve.prepare {
            config('_compileFreeDebug', 'checkDebug')
            config('_compileFreeRelease', 'checkRelease')
        }

        file('includedBuild/build.gradle') << """

            group = 'com.acme.external'

 */

package org.gradle.api.internal.provider;

public class DefaultConfigurationTimeBarrier implements ConfigurationTimeBarrier {

    private volatile boolean atConfigurationTime = false;

    public void prepare() {
        atConfigurationTime = true;
    }

    public void cross() {
        if (!atConfigurationTime) {
            throw new IllegalStateException("Configuration time barrier can only be crossed once.");

             "Whether the source graph is a QDQ model intended for conversion only.">,
  ];
}

def PrepareDynamicRangeQuantizePass : Pass<"tfl-prepare-quantize-dynamic-range", "mlir::func::FuncOp"> {
  let summary = "Prepare TFL dialect for dynamic range quantization.";
  let constructor = "CreatePrepareDynamicRangeQuantizePass()";
  let dependentDialects = ["TFL::TensorFlowLiteDialect",

 * under the License.
 */
package org.apache.maven.toolchain;

import org.apache.maven.toolchain.model.ToolchainModel;

/**
 * Internal toolchain factory, to prepare toolchains instances.
 *
 * @since 2.0.9
 */
public interface ToolchainFactory {
    /**
     * Create instance of toolchain.
     **/

// RUN: tf-quant-opt %s -split-input-file -quant-lift-quantizable-spots-as-functions -quant-prepare-quantize-drq -quant-quantize='weight-quantization=true' -verify-each=false | FileCheck %s

// -----

module {
  func.func @matmul(%arg0: tensor<1x2x2x3xf32>) -> (tensor<*xf32>) {
    %cst_0 = "tf.Const"() {value = dense<0.000000e+00> : tensor<2x1024xf32>} : () -> tensor<2x1024xf32>

      exit 1
    fi
  fi
fi

print-node-version-info "Pre-Upgrade"

if [[ "${local_binaries}" == "false" ]]; then
  set_binary_version "${1}"
fi

prepare-upgrade

if [[ "${node_prereqs}" == "true" ]]; then
  prepare-node-upgrade
  exit 0
fi

if [[ "${master_upgrade}" == "true" ]]; then
  upgrade-master
fi

if [[ "${node_upgrade}" == "true" ]]; then

// RUN: stablehlo-quant-opt %s -split-input-file -stablehlo-prepare-quantize=bit-width=4 -verify-diagnostics | FileCheck %s

// CHECK-LABEL: func @dot_int4
// CHECK-SAME: (%[[ARG_0:.*]]: tensor<?x3xf32>) -> tensor<?x2xf32>
func.func @dot_int4(%arg0: tensor<?x3xf32>) -> tensor<?x2xf32> {
  // CHECK: %[[cst:.*]] = stablehlo.constant
  // CHECK: %[[q1:.*]] = "quantfork.qcast"(%[[cst]])
  // CHECK-SAME: quant.uniform<i8:f32, 0.0040316890267764818:127>