instanceof String) && !((String) object).isEmpty(); } }; This class is designed for scenarios where an anonymous inner class matcher makes sense. It should not be used by API designers implementing matchers. Author: Neil Dunn See Also: for a type safe variant of this class that you probably want to use. Constructor Summary CustomMatcher(java.lang.String description) Method Summary void describeTo(Description description) Generates a description of the object. Methods inherited from class org.hamcrest.BaseMatcher...

- Enabled AttachVolumeLimit feature ([#69225](https://github.com/kubernetes/kubernetes/pull/69225), [@gnufied](https://github.com/gnufied))
- The default storage class annotation for the storage addons has been changed to use the GA variant ([#68345](https://github.com/kubernetes/kubernetes/pull/68345), [@smelchior](https://github.com/smelchior))

        val bindingContext = analysisContext.analyze(psi)
        bindingContext[BindingContext.TYPE_PARAMETER, psi]
    }

    override val variance: Variance
        get() = withValidityAssertion { psi.variance }

    override val upperBounds: List<KtType>
        get() = withValidityAssertion {

# git history files
.history_rewritten_*
# Eclipse artifacts
.project
.pydevproject
#Vagrant
tools/vagrant/.vagrant/
# Intellij
*.iml
.idea/
.run/
# Visual Studio Code
.vscode/
# Bazel
/bazel-*
# vi swap files
.*.swp
# vi backups
*.bak
# common backups
*~
# python artifacts
*.pyc
# pilot
pilot/pkg/kube/config
pilot/pkg/proxy/envoy/envoy
# lint
lintconfig.gen.json
.istiorc
.istiorc.mk

  }

  static class MeanAndVariance {
    private final double mean;
    private final double variance;

    MeanAndVariance(double mean, double variance) {
      this.mean = mean;
      this.variance = variance;
    }

    @Override
    public int hashCode() {
      return Doubles.hashCode(mean) * 31 + Doubles.hashCode(variance);
    }
  }

  enum VarianceAlgorithm {
    DO_NOT_COMPUTE {
      @Override

   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *

    override val upperBounds: List<KtType>
        get() = withValidityAssertion { descriptor.upperBounds.filterNot { it.isNullableAny() }.map { it.toKtType(analysisContext) } }

    override val variance: Variance
        get() = withValidityAssertion { descriptor.variance }

    override val isReified: Boolean
        get() = withValidityAssertion { descriptor.isReified }

.netrwhist

# cscope-related files
cscope.*

# Go test binaries
*.test
/hack/.test-cmd-auth

# JUnit test output from ginkgo e2e tests
/junit*.xml

# Mercurial files
**/.hg
**/.hg*

# Vagrant
.vagrant
network_closure.sh

# Local cluster env variables
/cluster/env.sh

# Compiled binaries in third_party
/third_party/pkg

# Also ignore etcd installed by hack/install-etcd.sh
/third_party/etcd*

  }

  static class MeanAndVariance {
    private final double mean;
    private final double variance;

    MeanAndVariance(double mean, double variance) {
      this.mean = mean;
      this.variance = variance;
    }

    @Override
    public int hashCode() {
      return Doubles.hashCode(mean) * 31 + Doubles.hashCode(variance);
    }
  }

  enum VarianceAlgorithm {
    DO_NOT_COMPUTE {
      @Override

   * either the {@code x} or {@code y} data must have a non-zero population variance (i.e. {@code
   * xStats().populationVariance() > 0.0 || yStats().populationVariance() > 0.0}). The result is
   * guaranteed to be horizontal if there is variance in the {@code x} data but not the {@code y}
   * data, and vertical if there is variance in the {@code y} data but not the {@code x} data.
   *