using tensorflow::shape_inference::InferenceContext;
using tensorflow::shape_inference::ShapeHandle;

namespace mlir {
namespace TF {
namespace {

// Compute a refined type between two types `lhs` and `rhs`, the result type
// is always more refined (i.e. has more static information) than `lhs`
// This method will actually merge the information contained in the
// types, it is capable of refining:

					return tmpPl, nil
				}); err != nil {
					t.Fatalf("Unable to register pre bind plugins: %s", pl.name)
				}

				configPlugins.PreBind.Enabled = append(
					configPlugins.PreBind.Enabled,
					config.Plugin{Name: pl.name},
				)
			}
			profile := config.KubeSchedulerProfile{Plugins: configPlugins}

	_ *v1.Pod,
	_ []*framework.NodeInfo,
) (hostPriorities *extenderv1.HostPriorityList, weight int64, err error) {
	return nil, 0, nil
}

func (f *fakeExtender) Bind(binding *v1.Binding) error {
	if f.isBinder {
		if f.errBind {
			return errors.New("bind error")
		}
		f.gotBind = true
		return nil
	}
	return errors.New("not a binder")
}

func (f *fakeExtender) IsBinder() bool {
	return f.isBinder

	},
	{
		"6f173f4b6eac7f2a73eaa0833c4563752df2c869dc00b7d30219e12e",
		"You remind me of a TV show, but that's all right: I watch it anyway.",

                    is used for substitution in the server's URL template.

                Read more in the
                [FastAPI docs for Behind a Proxy](https://fastapi.tiangolo.com/advanced/behind-a-proxy/#additional-servers).

                **Example**

                ```python
                from fastapi import FastAPI

                app = FastAPI(

  let description = [{
    Drop `shape_invariant` attribute from tf.While and tf.WhileRegion op. This
    would allow shape inference pass to further refine operand/result shapes of
    these ops. This is only safe to do when compiling to XLA.
  }];

  let constructor = "TF::CreateDropWhileShapeInvariantPass()";
}

	"restroom":                             "\U0001f6bb",
	"reunion":                              "\U0001f1f7\U0001f1ea",
	"revolving_hearts":                     "\U0001f49e",
	"rewind":                               "\u23ea",
	"rhinoceros":                           "\U0001f98f",
	"ribbon":                               "\U0001f380",
	"rice":                                 "\U0001f35a",

	i, ok := findInternal(p.ImportPath)
	if !ok {
		return nil
	}

	// Internal is present.
	// Map import path back to directory corresponding to parent of internal.
	if i > 0 {
		i-- // rewind over slash in ".../internal"
	}

	if p.Module == nil {
		parent := p.Dir[:i+len(p.Dir)-len(p.ImportPath)]

		if str.HasFilePathPrefix(filepath.Clean(srcDir), filepath.Clean(parent)) {
			return nil

	if a1.built == a.Target {
		a.built = a.Target
		if !a.buggyInstall {
			b.cleanup(a1)
		}
		// Whether we're smart enough to avoid a complete rebuild
		// depends on exactly what the staleness and rebuild algorithms
		// are, as well as potentially the state of the Go build cache.
		// We don't really want users to be able to infer (or worse start depending on)

    } : (tensor<4xi32>, tensor<1x1x1x1xf32>, tensor<1x1x1x1xf32>) -> tensor<?x?x?x?xf32>
    func.return %1 : tensor<?x?x?x?xf32>
  }

  // Tests where tf.Const's value needs to be refined.

  func.func @const_refine() -> tensor<*xi32> {
    %0 = "tf.Const"() {value = dense<[3, 2]> : tensor<2xi32>} : () -> tensor<*xi32>
    // CHECK: "tf.Const"
    // CHECK-SAME: -> tensor<2xi32>