using tsl::StatusOr;

// Converts the TensorFlow DataType 'dtype' into an MLIR (scalar) type.
Status ConvertDataType(DataType dtype, mlir::Builder builder, mlir::Type* type);

// Converts a scalar MLIR type to a TensorFlow Datatype.
Status ConvertScalarTypeToDataType(mlir::Type type, DataType* dtype);

// Converts an MLIR type to TensorFlow DataType. If 'type' is a scalar type, it

  // CHECK-NEXT:     [[SUB:%.*]] = tfl.sub %{{.*}}, %{{.*}} {fused_activation_function = "RELU6"} : tensor<3x2xi32>
  // CHECK-NEXT:     [[SCALAR:%.*]] = "tfl.pseudo_const"() <{value = dense<10> : tensor<i32>}> : () -> tensor<i32>
  // CHECK-NEXT:     [[ADD:%.*]] = tfl.add([[SCALAR]], [[SUB]]) {fused_activation_function = "NONE"} : (tensor<i32>, tensor<3x2xi32>) -> tensor<3x2xi32>
  // CHECK-NEXT:     return [[ADD]] : tensor<3x2xi32>

  int num_dims_out = TF_NumDims(model_out_tensor);
  TF_DeleteTensor(model_out_tensor);

  // If the output is a scalar, then return the scalar output
  if (num_dims_out == 0) {
    outputs[0] = model_out.release();
    return absl::OkStatus();
  }

  // Else, reduce sum the output to get a scalar

  // Will sum all dimensions, so get a Tensor containing [0,...,num_dims_out-1].
  AbstractTensorHandlePtr sum_dims;
  {

    </div>
    <div class="item">
      <a title="Scalar: Beautiful Open-Source API References from Swagger/OpenAPI files" style="display: block; position: relative;" href="https://github.com/scalar/scalar/?utm_source=fastapi&utm_medium=website&utm_campaign=top-banner" target="_blank">
        <span class="sponsor-badge">sponsor</span>
        <img class="sponsor-image" src="/img/sponsors/scalar-banner.svg" />
      </a>
    </div>

	})
	return p256GeneratorTable
}

// ScalarBaseMult sets p = scalar * B, where B is the canonical generator, and
// returns p.
func (p *P256Point) ScalarBaseMult(scalar []byte) (*P256Point, error) {
	if len(scalar) != p256ElementLength {
		return nil, errors.New("invalid scalar length")
	}
	tables := p.generatorTable()

	// This is also a scalar multiplication with a four-bit window like in

	// be a scalar typed field of the child structure (no nesting is supported).
	XListMapKeys []string

	// x-kubernetes-list-type annotates a list to further describe its topology.
	// This extension must only be used on lists and may have 3 possible values:
	//
	// 1) `atomic`: the list is treated as a single entity, like a scalar.

        - 2
        - 3
  - description: patch with different scalar type
    original:
      foo: 1
    modified:
      foo: true
    current:
      foo: 1
      bar: 2
    threeWay:
      foo: true
    result:
      foo: true
      bar: 2
  - description: patch from scalar to list
    original:
      foo: 0
    modified:
      foo:
      - 1
      - 2
    current:

    if (mlir::isa<ComplexType>(element_type) ||
        mlir::isa<quant::QuantizedType>(element_type)) {
      return;
    }
    op_builder->setInsertionPoint(const_op);
    Value scalar = op_builder->create<mhlo::ConstantOp>(
        const_op->getLoc(),
        DenseElementsAttr::get(
            RankedTensorType::get(/*shape=*/{}, element_type),
            splat_elements_attr.getSplatValue<Attribute>()));

//
//go:noescape
func p256OrdSqr(res, in *p256OrdElement, n int)

func P256OrdInverse(k []byte) ([]byte, error) {
	if len(k) != 32 {
		return nil, errors.New("invalid scalar length")
	}

	x := new(p256OrdElement)
	p256OrdBigToLittle(x, (*[32]byte)(k))
	p256OrdReduce(x)

	// Inversion is implemented as exponentiation by n - 2, per Fermat's little theorem.
	//

cond: A Tensor. If the tensor is a scalar of non-boolean type, the
    scalar is converted to a boolean according to the
    following rule: if the scalar is a numerical value, non-zero means
    True and zero means False; if the scalar is a string, non-empty
    means True and empty means False. If the tensor is not a scalar,
    being empty means False and being non-empty means True.