//   f = scale * (q - zero_point)
  // For other quantization types, the QuantizationDetails below is used.
  min:[float];  // For importing back into tensorflow.
  max:[float];  // For importing back into tensorflow.
  scale:[float];  // For dequantizing the tensor's values.
  zero_point:[long];

  // If this is not none, the other quantization parameters (i.e. min, max,

                    edge("org.test:dep:2.1", "org.test:dep:2.1")
                }
            }
        }
    }

    @Issue("https://github.com/gradle/gradle/issues/1898")
    def "can resolve pom importing version range"() {
        given:
        settingsFile << "rootProject.name = 'test' "
        buildFile << """
repositories {
    maven {
        url "${mavenRepo.uri}"
    }
}

#!/usr/bin/env bash
chroot ${MOUNTER_PATH} ${driver_path} "\$@"
EOF

      chmod 755 "$wrapper_path"
      echo "FlexVolume driver installed at ${wrapper_path}"
    fi
  done
}

echo
echo "Importing mount utility image from Container Registry..."
echo

METADATA=http://metadata.google.internal/computeMetadata/v1
SVC_ACCT_ENDPOINT=$METADATA/instance/service-accounts/default

		}
		return
	}
	t.Logf("import %q: %v", path, time.Since(t0))
}

// walkDir imports the all the packages with the given path
// prefix recursively. It returns the number of packages
// imported and whether importing was aborted because time
// has passed endTime.
func walkDir(t *testing.T, path string, endTime time.Time) (int, bool) {
	if time.Now().After(endTime) {
		t.Log("testing time used up")
		return 0, true
	}

  // canonicalize/optimizer.
  static mlir::PassPipelineRegistration<StandardPipelineOptions> pipeline(
      "tf-standard-pipeline",
      "Run all the passes involved in transforming/optimizing the graph after "
      "importing into MLIR, without any target specialization.",
      CreateTFStandardPipeline);
}

}  // namespace TF

  //   f = scale * (q - zero_point)
  // For other quantization types, the QuantizationDetails below is used.
  min:[float];  // For importing back into tensorflow.
  max:[float];  // For importing back into tensorflow.
  scale:[float];  // For dequantizing the tensor's values.
  zero_point:[long];

  // If this is not none, the other quantization parameters (i.e. min, max,

It is imported/included directly into FastAPI so that you can import it from `fastapi` and avoid accidentally importing the alternative `BackgroundTask` (without the `s` at the end) from `starlette.background`.

  namespace: none
spec:
  egress:
    - hosts:
        - none/*
        - default/test.default # TODO: without namespace it  fails validation !
      # TODO: if we include the namespace, why do we need full name ? Importing regular services should work.

  # Label selection seems to confuse the new code.
  ingress:
    - port:
        number: 7071
        protocol: HTTP
        name: httplocal
      defaultEndpoint: 127.0.0.1:17071

import org.gradle.util.internal.VersionNumber

// These imports are required, IntelliJ incorrectly thinks that they are not used because old versions of Groovy
// permitted subtypes to use the parent type's methods without importing them
import static org.gradle.test.precondition.TestPrecondition.satisfied;
import static org.gradle.test.precondition.TestPrecondition.notSatisfied;

class IntegTestPreconditions {

  void PruneGraph(GraphOp graph);

  llvm::SmallDenseSet<mlir::StringAttr, 4> ops_to_preserve_ids_;
};

// Checks if a tf_executor.Graph can be pruned.
// For TensorFlow V1.0 compatibility: when importing a graph without providing
// feeds/fetches/targets we should not attempt to prune. The best approximation
// here is to check if the graph is of the "main" function and does not have the
// "tf.entry_function" attribute defined.