const tensorflow::AttrValue* attr = oper->node.attrs().Find(attr_name);
  if (attr == nullptr) {
    status->status = InvalidArgument("Operation '", oper->node.name(),
                                     "' has no attr named '", attr_name, "'.");
  }
  return attr;
}

TensorId ToTensorId(const TF_Output& output) {
  return TensorId(output.oper->node.name(), output.index);
}

  EXPECT_EQ(-1, TF_OperationOutputListLength(feed, "bogus", s));
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s));

  ASSERT_FALSE(GetAttrValue(feed, "missing", &attr_value, s));
  EXPECT_EQ(string("Operation 'feed' has no attr named 'missing'."),
            string(TF_Message(s)));

  // Make a constant oper with the scalar "3".
  TF_Operation* three = ScalarConst(3, graph, s);
  ASSERT_EQ(TF_OK, TF_GetCode(s)) << TF_Message(s);

                  public boolean retainAll(Collection<?> c) {
                    return Iterators.retainAll(iterator(), c);
                  }
                };
              }
            })
        .named("ArrayList with Iterators.removeAll and retainAll")
        .withFeatures(
            ListFeature.GENERAL_PURPOSE, CollectionFeature.ALLOWS_NULL_VALUES, CollectionSize.ANY)
        .createTestSuite();
  }

                  public boolean retainAll(Collection<?> c) {
                    return Iterators.retainAll(iterator(), c);
                  }
                };
              }
            })
        .named("ArrayList with Iterators.removeAll and retainAll")
        .withFeatures(
            ListFeature.GENERAL_PURPOSE, CollectionFeature.ALLOWS_NULL_VALUES, CollectionSize.ANY)
        .createTestSuite();
  }

func TestGetObjectInlineNotInline(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	// Create a backend with 4 disks named disk{1...4}, this name convention
	// because we will unzip some object data from a sample archive.
	const numDisks = 4
	path := t.TempDir()

	var fsDirs []string
	for i := 1; i <= numDisks; i++ {

// the function symbol 'name', logging an error for a malformed
// attribute clause if 'issueError' is true. The return value is a
// (boolean, ABI) pair indicating that the named symbol is either
// static or a particular ABI specification.
//
// The expected form of the attribute clause is:
//
// empty,           yielding (false, obj.ABI0)
// "<>",            yielding (true,  obj.ABI0)

import com.google.errorprone.annotations.InlineMe;
import java.math.BigInteger;
import java.math.RoundingMode;

/**
 * A class for arithmetic on values of type {@code long}. Where possible, methods are defined and
 * named analogously to their {@code BigInteger} counterparts.
 *
 * <p>The implementations of many methods in this class are based on material from Henry S. Warren,
 * Jr.'s <i>Hacker's Delight</i>, (Addison Wesley, 2002).
 *

- Fixed service issues with named targetPort for Windows ([#70076](https://github.com/kubernetes/kubernetes/pull/70076), [@feiskyer](https://github.com/feiskyer))
- Handle Windows named pipes in host mounts. ([#69484](https://github.com/kubernetes/kubernetes/pull/69484), [@ddebroy](https://github.com/ddebroy))

  TF_Buffer* attr_buf = TF_NewBuffer();
  TF_FunctionGetAttrValueProto(func_, "foo_attr", attr_buf, s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));
  EXPECT_EQ(string("Function 'MyFunc' has no attr named 'foo_attr'."),
            string(TF_Message(s_)));
  TF_DeleteBuffer(attr_buf);

  // Set attr
  tensorflow::AttrValue attr;
  attr.set_s("test_attr_value");
  string bytes;

- The resource/v1alpha3.ResourceSliceList filed which should have been named "metadata" but was instead named "listMeta" is now properly "metadata". ([#126749](https://github.com/kubernetes/kubernetes/pull/126749), [@thockin](https://github.com/thockin)) [SIG API Machinery]