if [[ -f "${HOME}/.gitconfig" ]]; then
  CONDITIONAL_HOST_MOUNTS+="--mount type=bind,source=${HOME}/.gitconfig,destination=/home/.gitconfig,readonly "
fi

# .netrc conditional host mount (needed for git commands inside container)
if [[ -f "${HOME}/.netrc" ]]; then
  CONDITIONAL_HOST_MOUNTS+="--mount type=bind,source=${HOME}/.netrc,destination=/home/.netrc,readonly "
fi

`VirtualService` and `Gateway`, Istio supports the `Ingress` core resource type. Like CRDs, the `Ingress` controller implements `ConfigStore`, but a bit differently. `Ingress` resources are converted on the fly to `VirtualService` and `Gateway`, so while the controller reads `Ingress` resources (and a few related types like `IngressClass`), it emits other types. This allows the rest of the code to be unaware of Ingress and just focus on the core types

In addition to this conversion, `Ingress`...

/**
 * Implementation of {@code Multimap} that does not allow duplicate key-value entries and that
 * returns collections whose iterators follow the ordering in which the data was added to the
 * multimap.
 *
 * <p>The collections returned by {@code keySet}, {@code keys}, and {@code asMap} iterate through
 * the keys in the order they were first added to the multimap. Similarly, {@code get}, {@code

///

/// warning

TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you
are working with. When loading untrusted checkpoints, the values of the traced
variables from your model are also going to be untrusted. That means that if
your code interacts with the filesystem, network, etc. and uses checkpointed

//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/lib/lmdb:lmdb_testdata
//tensorflow/core/lib/lmdb/testdata:lmdb_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer

Because we are using a relative URL, if your API was located at `https://example.com/`, then it would refer to `https://example.com/token`. But if your API was located at `https://example.com/api/v1/`, then it would refer to `https://example.com/api/v1/token`.

import com.google.common.collect.HashMultimap;
import com.google.common.collect.ImmutableList;
import com.google.common.collect.ImmutableSet;
import com.google.common.collect.Iterators;
import com.google.common.collect.Lists;
import com.google.common.collect.Maps;
import com.google.common.collect.Multimap;
import com.google.common.primitives.Primitives;
import com.google.common.reflect.TypeToken;

 * limitations under the License.
 */

package com.google.common.collect;

import static com.google.common.base.Preconditions.checkNotNull;
import static java.util.Collections.singletonMap;
import static java.util.stream.Collectors.collectingAndThen;
import static java.util.stream.Collectors.toMap;

import com.google.common.annotations.GwtCompatible;
import com.google.common.annotations.GwtIncompatible;

            desc: "do not use gopkg.in/yaml.v3; use sigs.k8s.io/yaml instead"
          - pkg: github.com/ghodss/yaml
            desc: "do not use github.com/ghodss/yaml; use sigs.k8s.io/yaml instead"
      DenyOperatorAndIstioctl:
        files:
          # Tests can do anything
          - "!$test"
          # Main code should only be used by appropriate binaries
          - "!**/operator/**"
          - "!**/istioctl/**"