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

package main

import (
	"fmt"
	"reflect"
)

type G[T any] interface {
	g() func()(*T)
}
type Foo[T any] struct {

}
// OCALL
func (l *Foo[T]) f1() (*T) {
	return g[T]()()
}
// OCALLFUNC
func (l *Foo[T]) f2() (*T) {
	var f = g[T]
	return f()()
}
// OCALLMETH
func (l *Foo[T]) f3() (*T) {
	return l.g()()
}
// OCALLINTER

// compatible), a Kind is the unique name for that Type within the Version, and a
// Group identifies a set of Versions, Kinds, and Types that evolve over time. An
// Unversioned Type is one that is not yet formally bound to a type and is promised
// to be backwards compatible (effectively a "v1" of a Type that does not expect
// to break in the future).
//
// Schemes are not expected to change at runtime and are only threadsafe after

        return new BaseMatcher<T>() {
            @Override
            public boolean matches(Object o) {
                return Pattern.compile(pattern, Pattern.DOTALL).matcher((CharSequence) o).matches();
            }

            @Override
            public void describeTo(Description description) {

  let summary = "Rewrite graph for sequential execution of embeddings";
  let constructor = "TFDevice::CreateEmbeddingSequencingPass()";
    let description = [{
    This is a strictly sequential and formally correct fallback option for the
    embedding pipelining pass intended for debugging during pipelining
    development.
  }];
}

def EmbeddingProgramKeyPass : Pass<"tf-embedding-program-key", "mlir::func::FuncOp"> {

        return provider;
    }

    @Override
    public void discardAll() {
        discardAll(false);
    }

    private void discardAll(boolean forceAll) {
        withRegistrations(registrations -> {
            List<DefaultServiceRegistration<?, ?>> preserved = new ArrayList<>();
            try {
                ExecutionResult.forEach(registrations, registration -> {

}

func (l Token) String() string {
	return l.text
}

// A Macro represents the definition of a #defined macro.
type Macro struct {
	name   string   // The #define name.
	args   []string // Formal arguments.
	tokens []Token  // Body of macro.
}

// Tokenize turns a string into a list of Tokens; used to parse the -D flag and in tests.
func Tokenize(str string) []Token {

        stdout.toString().contains("Task ${path}")
    }

    def tasksExecutedInOrder(String... tasks) {
        stdout.toString().matches(Pattern.compile(".*Task ${tasks.join('.* Task ')}.*", Pattern.DOTALL | Pattern.MULTILINE))
    }

            connection -> connection.action(new SimpleAction()).forTasks("bye").setStandardOutput(stdOut).run()
        }

        then:
        Pattern regex = Pattern.compile(".*hello.*bye.*starting action.*", Pattern.DOTALL)
        assert stdOut.toString().matches(regex)
        assert result == "Action result"
    }

    def "does not run any tasks when none specified and #description"() {
        file('build.gradle') << """

aiming to keep the semantics simple, understandable, and useful.
This section gives a general overview of the approach and should suffice for most programmers.
The memory model is specified more formally in the next section.
</p>

<p>
A data race is defined as
a write to a memory location happening concurrently with another read or write to that same location,

    public void cleanup() {
        if (cleanup && dir != null && dir.exists()) {
            ConcurrentTestUtil.poll(new Closure(null, null) {
                @SuppressWarnings("UnusedDeclaration")
                void doCall() throws IOException {
                    dir.forceDeleteDir();
                }
            });
        }
    }

    @Override
    public Statement apply(final Statement base, Description description) {