aoff = objw.BitVec(&argsSymTmp, aoff, args)
		loff = objw.BitVec(&liveSymTmp, loff, locals)
	}

	// These symbols will be added to Ctxt.Data by addGCLocals
	// after parallel compilation is done.
	return base.Ctxt.GCLocalsSym(argsSymTmp.P), base.Ctxt.GCLocalsSym(liveSymTmp.P)
}

// Entry pointer for Compute analysis. Solves for the Compute of

	globalInternodeTransport = NewInternodeHTTPTransport(0)()

	initHelp()

	resetTestGlobals()

	globalIsCICD = true

	os.Exit(m.Run())
}

// concurrency level for certain parallel tests.
const testConcurrencyLevel = 10

const iso8601TimeFormat = "2006-01-02T15:04:05.000Z"

// Excerpts from @lsegal - https://github.com/aws/aws-sdk-js/issues/659#issuecomment-120477258
//
//	User-Agent:

batch. It determines the number of concurrent invocations of `f` that process
elements from `input_dataset` in parallel.}]>:$batch_size,
    Arg<TF_Int64Tensor, [{A scalar representing the maximum number of parallel invocations of the `map_fn`
function. Applying the `map_fn` on consecutive input elements in parallel has
the potential to improve input pipeline throughput.}]>:$num_parallel_calls,

								f(t, src, dst, opt)
							})
						}
					})
				}
			})
		}
	}
	for _, c := range testCases {
		// Create a copy to avoid races, as tests are run in parallel
		c := c
		testName := strings.TrimSuffix(c.ConfigFile, filepath.Ext(c.ConfigFile))
		t.NewSubTest(testName).Run(func(t framework.TestContext) {
			// Apply the policy.

			},
		},
	}

	for _, scenario := range scenarios {
		t.Run(scenario.name, func(t *testing.T) {
			t.Parallel()
			var backingStorage *dummyStorage
			if scenario.backingStorage != nil {
				backingStorage = scenario.backingStorage
			} else {
				backingStorage = &dummyStorage{}
			}

- Fixed a performance issue where pods weren't created/deleted in parallel for a StatefulSet with podManagementPolicy: Parallel. ([#119096](https://github.com/kubernetes/kubernetes/pull/119096), [@aleksandra-malinowska](https://github.com/aleksandra-malinowska)) [SIG Apps]

		// and we want the concatenation of all of those logs.
		// This means, of course, that users need to rm the old log
		// to get fresh data.
		// TODO: all.bash runs compilers in parallel. Need to synchronize logging somehow?
		w, err := os.OpenFile(filepath.Join(os.Getenv("GOROOT"), "src", "rulelog"),
			os.O_CREATE|os.O_WRONLY|os.O_APPEND, 0666)
		if err != nil {
			panic(err)
		}

			// to exit immediately
			return
		}
	}
}

const (
	resyncWorkerCnt        = 10 // limit of number of bucket resyncs is progress at any given time
	resyncParallelRoutines = 10 // number of parallel resync ops per bucket
)

func newresyncer() *replicationResyncer {
	rs := replicationResyncer{
		statusMap:      make(map[string]BucketReplicationResyncStatus),
		workerSize:     resyncWorkerCnt,

* Add an option `disable_eager_executer_streaming_enqueue` to `tensorflow.ConfigProto.Experimental` to control the eager runtime's behavior around parallel remote function invocations; when set to `True`, the eager runtime will be allowed to execute multiple function invocations in parallel.

* `tf.constant_initializer`

        auto one =
            rewriter.create<arith::ConstantIntOp>(loc, 1, shape_scalar_type);
        auto two =
            rewriter.create<arith::ConstantIntOp>(loc, 2, shape_scalar_type);
        // See also the parallel implementation in
        // GetWindowedOutputSizeFromDimsV2. effective_filter_size = (filter_size
        // - 1) * dilation_rate + 1
        Value stride_value = rewriter.create<arith::ConstantIntOp>(