config_info_line('v1', 'Build with TensorFlow 1 API instead of TF 2 API.')

  print('Preconfigured Bazel build configs to DISABLE default on features:')
  config_info_line('nogcp', 'Disable GCP support.')
  config_info_line('nonccl', 'Disable NVIDIA NCCL support.')


if __name__ == '__main__':

#     mkl:          Enable full mkl support.
#     tensorrt:     Enable Tensorrt support.
#     noaws:        Disable AWS S3 storage support
#     nogcp:        Disable GCS support.
#     nohdfs:       Disable hadoop hdfs support.
#     nonccl:       Disable nccl support.
#
#
# Remote build execution options (only configured to work with TF team projects for now.)

  install -m 0755 -d /etc/apt/keyrings
  curl -fsSL https://download.docker.com/linux/ubuntu/gpg | gpg --dearmor -o /etc/apt/keyrings/docker.gpg
  chmod a+r /etc/apt/keyrings/docker.gpg

  # shellcheck disable=SC2027 disable=SC2046
  echo \
    "deb [arch="$(dpkg --print-architecture)" signed-by=/etc/apt/keyrings/docker.gpg] https://download.docker.com/linux/ubuntu \
    "$(. /etc/os-release && echo "$VERSION_CODENAME")" stable" | \

	stopCh := make(chan struct{})
	defer close(stopCh)

	informerFactory := informers.NewSharedInformerFactory(kubeClient, 0)

	// disable consumption of cpu unless there is a covering quota.
	// disable consumption of cpu unless there is a covering quota.
	config := &resourcequotaapi.Configuration{
		LimitedResources: []resourcequotaapi.LimitedResource{
			{
				Resource:      "pods",

        "@com_google_absl//absl/types:optional",
    ],
)

cc_header_only_library(
    name = "flags_headers_only",
    features = [
        "-parse_headers",  # buildifier: disable=no-parse-headers
    ],
    deps = [":flags_headers"],
)

cc_library(
    name = "common",
    srcs = [
        "defs.cc",
    ],
    hdrs = [
        "defs.h",
    ],

		}
	}

	// Enable/disable ASLR on Windows.
	addASLRargs := func(argv []string, val bool) []string {
		// Old/ancient versions of GCC support "--dynamicbase" and
		// "--high-entropy-va" but don't enable it by default. In
		// addition, they don't accept "--disable-dynamicbase" or
		// "--no-dynamicbase", so the only way to disable ASLR is to
		// not pass any flags at all.
		//

			},
		},
	}
	t.Run("Disable", func(t *testing.T) {
		calls := []simulation.Expect{}
		for _, c := range cases {
			calls = append(calls, simulation.Expect{
				Name:   c.Name,
				Call:   c.Call,
				Result: c.Disabled,
			})
		}
		runSimulationTest(t, nil, xds.FakeOptions{}, simulationTest{
			config: svc + mtlsMode("DISABLE"),
			calls:  calls,
		})
	})

   *
   * <p>If {@code maximumSize} is zero, elements will be evicted immediately after being loaded into
   * cache. This can be useful in testing, or to disable caching temporarily.
   *
   * <p>This feature cannot be used in conjunction with {@link #maximumWeight}.
   *
   * @param maximumSize the maximum size of the cache

# ==============================================================================
"""tfr_gen: Generate mlir tfr decomposition function from python code."""

# pylint: disable=invalid-name
# pylint: disable=missing-function-docstring
# pylint: disable=g-direct-tensorflow-import

import enum
import os
import re
import types
import gast as ast

from tensorflow.compiler.mlir.tfr import tfr_wrapper as tfr

	// the world.
	gcController.startCycle(now, int(gomaxprocs), trigger)

	// Notify the CPU limiter that assists may begin.
	gcCPULimiter.startGCTransition(true, now)

	// In STW mode, disable scheduling of user Gs. This may also
	// disable scheduling of this goroutine, so it may block as
	// soon as we start the world again.
	if mode != gcBackgroundMode {
		schedEnableUser(false)
	}