docker push "$TFCI_DOCKER_IMAGE"
  fi
fi

# Keep the existing "tf" container if it's already present.
# The container is not cleaned up automatically! Remove it with:
# docker rm tf
if ! docker container inspect tf >/dev/null 2>&1 ; then
  # Pass all existing TFCI_ variables into the Docker container
  env_file=$(mktemp)
  env | grep ^TFCI_ > "$env_file"

  WORKING_DIR="$TFCI_GIT_DIR"

)

var (
	keyHex      = flag.String("key", "", "decryption key")
	privKeyPath = flag.String("private-key", "support_private.pem", "private key")
	stdin       = flag.Bool("stdin", false, "expect 'mc support inspect' json output from stdin")
	export      = flag.Bool("export", false, "export xl.meta")
	djson       = flag.Bool("djson", false, "expect djson format for xl.meta")
	genkey      = flag.Bool("genkey", false, "generate key pair")
)

		return nil
	}

	// save args passed to inspect command
	var sb bytes.Buffer
	fmt.Fprintf(&sb, "Inspect path: %s%s%s\n", volume, slashSeparator, file)
	sb.WriteString("Server command line args:")
	for _, pool := range globalEndpoints {
		sb.WriteString(" ")
		sb.WriteString(pool.CmdLine)
	}
	sb.WriteString("\n")
	adminLogIf(ctx, embedFileInZip(inspectZipW, "inspect-input.txt", sb.Bytes(), 0o600))

// it might be.
//
// Instead, we rely directly on the procfs.
// This rules out two possible methods:
// * use crictl to inspect the pod; this returns the bind-mounted network namespace file.
// * /var/lib/cni/results shows the outputs of CNI plugins; this containers the bind-mounted network namespace file.
//

# limitations under the License.
# ==============================================================================
"""Bring in all of the public TensorFlow interface into this module."""

import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys
import sysconfig

# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top

import http.client
import inspect
import warnings
from typing import Any, Dict, List, Optional, Sequence, Set, Tuple, Type, Union, cast

from fastapi import routing
from fastapi._compat import (
    GenerateJsonSchema,
    JsonSchemaValue,
    ModelField,
    Undefined,
    get_compat_model_name_map,
    get_definitions,
    get_schema_from_model_field,
    lenient_issubclass,
)
from fastapi.datastructures import DefaultPlaceholder

	if err != nil {
		t.Fatalf("Failed with err: %v", err)
	}
	if len(gots) != len(wants) {
		t.Fatalf("Expected %d objects but got %d", len(wants), len(gots))
	}

	// Close expiry state's channel to inspect object versions enqueued for expiration
	close(workers[0])
	wg.Wait()
	for _, obj := range expired {
		switch obj.ObjectV.VersionID {
		case uuids[2].String(), uuids[3].String(), uuids[4].String():
		default:

"""
# pylint: disable=g-bad-import-order,protected-access,g-import-not-at-top

import sysconfig as _sysconfig
import importlib
import inspect as _inspect
import os as _os
import site as _site
import sys as _sys

_os.environ.setdefault("ENABLE_RUNTIME_UPTIME_TELEMETRY", "1")

# Do not remove this line; See https://github.com/tensorflow/tensorflow/issues/42596

// Note: this is still under active development and is not ready for real use.
func AuthZ(ctx cli.Context) *cobra.Command {
	cmd := &cobra.Command{
		Use:   "authz",
		Short: "Inspect Istio AuthorizationPolicy",
	}

	cmd.AddCommand(checkCmd(ctx))
	cmd.Long += "\n\n" + util.ExperimentalMsg
	return cmd

      "FINE: Q10000 scheduled after 100 µs: task",
      "FINE: Q10000 starting              : task",
      "FINE: Q10000 finished run in   0 µs: task",
    )
  }

  /** Inspect how many runnables have been enqueued. If none then we're truly sequential. */
  @Test fun singleQueueIsSerial() {
    redQueue.execute("task one", 100.µs) {