operator in the script should be in the "math" category, and it will be
generated in the output file `c/experimental/ops/math_ops.cc`.

Running this script should be a no-op, generating identical code other than

   * A word about using {@link Equivalence}, which automatically checks for {@code null} and
   * identical inputs: This sounds like it ought to be a problem here, since the goals of this class
   * include testing that {@code equals()} is reflexive and is tolerant of {@code null}. However,
   * there's no problem. The reason: {@link EqualsTester} tests {@code null} and identical inputs
   * directly against {@code equals()} rather than through the {@code Equivalence}.

// type of all types in the corresponding type constraint if it exists, or
// nil otherwise. If the type set contains only unrestricted and restricted
// channel types (with identical element types), the single underlying type
// is the restricted channel type if the restrictions are always the same.
// If typ is not a type parameter, CoreType returns the underlying type.
func CoreType(t Type) Type {

// license that can be found in the LICENSE file.

package json

import (
	"unicode"
	"unicode/utf8"
)

// foldName returns a folded string such that foldName(x) == foldName(y)
// is identical to bytes.EqualFold(x, y).
func foldName(in []byte) []byte {
	// This is inlinable to take advantage of "function outlining".
	var arr [32]byte // large enough for most JSON names
	return appendFoldedName(arr[:0], in)
}

 */
@Incubating
@ServiceScope(Scope.BuildTree.class)
public interface Problems {

    /**
     * Return a problem reporter associated with a plugin.
     * <p>
     * The namespace provides separation for identical problems emitted from different components (Gradle core and third-party plugins).
     *
     * @return The problem reporter.
     * @since 8.6
     */
    ProblemReporter forNamespace(String namespace);

    }

    /**
     * Finish building an instance which also maps {@code x = x2} to {@code y = y2}. These values
     * must not both be identical to the values given in the first mapping. If only the {@code x}
     * values are identical, the transformation is vertical. If only the {@code y} values are
     * identical, the transformation is horizontal (i.e. the slope is zero).
     */
    public LinearTransformation and(double x2, double y2) {

}

func f3[T any](func(I[T])) {}

func _() {
	var x func(I[int])
	f3(x) // but this is correct: I[T] and I[int] can be made identical with T == int
}

func f4[T any]([10]I[T]) {}

func _() {
	var x [10]interface{ I[int] }
	f4(x /* ERROR "type [10]interface{I[int]} of x does not match [10]I[T] (cannot infer T)" */)
}

//go:noescape
func update(state *macState, msg []byte)

// mac is a wrapper for macGeneric that redirects calls that would have gone to
// updateGeneric to update.
//
// Its Write and Sum methods are otherwise identical to the macGeneric ones, but
// using function pointers would carry a major performance cost.
type mac struct{ macGeneric }

func (h *mac) Write(p []byte) (int, error) {
	nn := len(p)
	if h.offset > 0 {

            }

            String message = "Consumable configurations with identical capabilities within a project (other than the default configuration) " +
                "must have unique attributes, but " + configuration.getDisplayName() + " and " + collisions + " contain identical attribute sets.";

            return builder.withSummary(message)
                .withAdvice(advice)

# pylint: disable=missing-docstring,line-too-long
import tensorflow.compat.v1 as tf
from tensorflow.compiler.mlir.tensorflow.tests.tf_saved_model import common_v1

# Tests different SignatureDef's with identical method_name string

# CHECK:      func {{@[a-zA-Z_0-9]+}}(
# CHECK-SAME:   {{.*}})
# CHECK-SAME: attributes {{.*}} tf_saved_model.exported_names = ["key"]

# CHECK:      func {{@[a-zA-Z_0-9]+}}(