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

// Build toolchain using Go bootstrap version.
//
// The general strategy is to copy the source files we need into
// a new GOPATH workspace, adjust import paths appropriately,
// invoke the Go bootstrap toolchains go command to build those sources,
// and then copy the binaries back.

package main

import (
	"fmt"
	"os"

    }
}

/**
 * [binaryRoots] and [sharedBinaryRoots] are used to build stubs for symbols from binary libraries. They only need to be specified if
 * [shouldBuildStubsForBinaryLibraries] is true. In Standalone mode, binary roots don't need to be specified because library symbols are
 * provided via class-based deserialization, not stub-based deserialization.
 *

	nodeSelectorsForServices map[host.Name]labels.Instance
	// map of node name and its address+labels - this is the only thing we need from nodes
	// for vm to k8s or cross cluster. When node port services select specific nodes by labels,
	// we run through the label selectors here to pick only ones that we need.
	// Only nodes with ExternalIP addresses are included in this map !
	nodeInfoMap map[string]kubernetesNode

		if n == 0 {
			return t // type is not parameterized
		}

		// TODO(gri) do we need this for Alias types?
		if t.TypeArgs().Len() != n {
			return Typ[Invalid] // error reported elsewhere
		}

		// already instantiated
		// For each (existing) type argument determine if it needs
		// to be substituted; i.e., if it is or contains a type parameter
		// that has a type argument for it.

		if n == 0 {
			return t // type is not parameterized
		}

		// TODO(gri) do we need this for Alias types?
		if t.TypeArgs().Len() != n {
			return Typ[Invalid] // error reported elsewhere
		}

		// already instantiated
		// For each (existing) type argument determine if it needs
		// to be substituted; i.e., if it is or contains a type parameter
		// that has a type argument for it.

// loose accuracy, so we need to use this very very carefully.
LogicalResult InsertRequantForReduceMean::matchAndRewrite(
    TFL::MeanOp mean_op, PatternRewriter& rewriter) const {
  auto input = mean_op.getInput();
  auto input_type = mlir::dyn_cast_or_null<ShapedType>(input.getType());
  if (!input_type) return failure();

  // Only need to do this for quantized input.
  auto input_quantized_type =

This is where the Worker API can help.

To use the Worker API, you need to define an interface that represents the parameters of each unit of work and extends `org.gradle.workers.WorkParameters`.

For the generation of MD5 hash files, the unit of work will require two parameters:

1. the file to be hashed and,
2. the file to write the hash to.

			// We need to keep nil checks even if they have no use.
			// Also keep calls and values that have side effects.
			return
		}

		// If the address of the auto reaches a memory or control
		// operation not covered above then we probably need to keep it.
		// We also need to keep autos if they reach Phis (issue #26153).

  private var coordinatorWakeUpAt = 0L

  /**
   * When we need a new thread to run tasks, we call [Backend.execute]. A few microseconds later we
   * expect a newly-started thread to call [Runnable.run]. We shouldn't request new threads until
   * the already-requested ones are in service, otherwise we might create more threads than we need.
   *

						n++
					}
					atomic.AddInt64(&ops, int64(n))
					atomic.AddInt64(&lat, latency)
				})
				spent := time.Since(t)
				if spent > 0 && n > 0 {
					// Since we are benchmarking n parallel servers we need to multiply by n.
					// This will give an estimate of the total ops/s.
					latency := float64(atomic.LoadInt64(&lat)) / float64(time.Millisecond)
					b.ReportMetric(float64(n)*float64(ops)/spent.Seconds(), "vops/s")