} else {
					check.versionErrorf(instErrPos, go1_21, "implicitly instantiated function in assignment")
				}
			}
			gsig := NewSignatureType(nil, nil, nil, sig.params, sig.results, sig.variadic)
			params = []*Var{NewVar(x.Pos(), check.pkg, "", gsig)}
			// The type of the argument operand is tsig, which is the type of the LHS in an assignment

    functionally equivalent to the function referenced by `tf_device.cluster_func`.
    This makes the module to be jit-compiled and executed on TPU.
    If it is not possible to rewrite the operation or device assignment fails,
    a failure will be returned.

    Note, many parameters to the `tf_device.cluster_func` are omitted in this
    and following examples.
    For example, a non replicated `tf_device.cluster_func`:

		x.mode = variable
		x.typ = typ.elem

	case *Map:
		index := check.singleIndex(e)
		if index == nil {
			x.mode = invalid
			return false
		}
		var key operand
		check.expr(nil, &key, index)
		check.assignment(&key, typ.key, "map index")
		// ok to continue even if indexing failed - map element type is known
		x.mode = mapindex
		x.typ = typ.elem
		x.expr = e.Orig
		return false

	case *Interface:

		for _, v := range b.Values {
			if v.Op != ssa.OpPhi {
				continue
			}
			n := int32(v.AuxInt)
			// Remember the old assignment so we can undo it when we exit b.
			stk = append(stk, stackEntry{n: n, v: values[n]})
			// Record the new assignment.
			values[n] = v
		}

		// Replace a FwdRef op with the current incoming value for its variable.
		for _, v := range b.Values {

  return topology;
}

// Determine execution devices when topology and device assignment are defined.
// With a topology device coordinate to task and device mapping, device
// assignment device coordinates can then be mapped to task and device for TPU
// devices. The device assignment array is also validated.
//
// A valid device assignment array must have:
//  - device coordinates within the topology mesh shape

CreateConvertReadonlyReferenceVariablesToResourceVariablesPass();

// Creates a simple device assignment pass on TF dialect for CoreRT use case.
std::unique_ptr<OperationPass<func::FuncOp>> CreateSimpleTFDeviceAssignmentPass(
    llvm::StringRef default_device = "cpu");

// Creates a pass to perform device assignment for TF dialect ops that do not
// have device assignment, by using the device attribute of the function.

	}
	return &unifier{handles, 0, enableInterfaceInference}
}

// unifyMode controls the behavior of the unifier.
type unifyMode uint

const (
	// If assign is set, we are unifying types involved in an assignment:
	// they may match inexactly at the top, but element types must match
	// exactly.
	assign unifyMode = 1 << iota

	// If exact is set, types unify if they are identical (or can be

        lenient_issubclass as lenient_issubclass,  # noqa: F401
    )

    GetJsonSchemaHandler = Any  # type: ignore[assignment,misc]
    JsonSchemaValue = Dict[str, Any]  # type: ignore[misc]
    CoreSchema = Any  # type: ignore[assignment,misc]

    sequence_shapes = {
        SHAPE_LIST,
        SHAPE_SET,
        SHAPE_FROZENSET,
        SHAPE_TUPLE,
        SHAPE_SEQUENCE,

	}
	return &unifier{handles, 0, enableInterfaceInference}
}

// unifyMode controls the behavior of the unifier.
type unifyMode uint

const (
	// If assign is set, we are unifying types involved in an assignment:
	// they may match inexactly at the top, but element types must match
	// exactly.
	assign unifyMode = 1 << iota

	// If exact is set, types unify if they are identical (or can be

        if (expression !is KtArrayAccessExpression) return null
        val assignment = expression.parent as? KtBinaryExpression ?: return null
        if (assignment.operationToken !in KtTokens.ALL_ASSIGNMENTS) return null
        if (assignment.left != expression) return null