Maven required to use the resulting plugin.<br>
            In Maven 2, this was also specifying the minimum version of Maven required to build a
            project, but this usage is <b>deprecated</b> in Maven 3 and not checked any more: use
            the <a href="https://maven.apache.org/enforcer/enforcer-rules/requireMavenVersion.html">Maven Enforcer Plugin's
            {@code requireMavenVersion} rule</a> instead.
            ]]>

// deleted by the status manager, but are not in pod workers.
// First, the check for deletionTimestamp is a performance optimization as we
// don't need to do anything with terminal pods without deletionTimestamp.
// Second, the check for terminal pods is to avoid race conditions of triggering
// deletion on Pending pods which are not yet added to pod workers.
// Third, the check to skip pods known to pod workers is that the lifecycle of

import java.util.concurrent.atomic.AtomicBoolean;
import java.util.logging.LogRecord;
import java.util.logging.Logger;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Unit tests for {@link Futures}.
 *
 * @author Nishant Thakkar
 */
@ElementTypesAreNonnullByDefault
@GwtCompatible(emulated = true)

import java.util.concurrent.atomic.AtomicBoolean;
import java.util.logging.LogRecord;
import java.util.logging.Logger;
import junit.framework.AssertionFailedError;
import junit.framework.TestCase;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * Unit tests for {@link Futures}.
 *
 * @author Nishant Thakkar
 */
@ElementTypesAreNonnullByDefault
@GwtCompatible(emulated = true)

func TestHeaderToWire(t *testing.T) {
	tests := []struct {
		name    string
		handler func(ResponseWriter, *Request)
		check   func(got, logs string) error
	}{
		{
			name: "write without Header",
			handler: func(rw ResponseWriter, r *Request) {
				rw.Write([]byte("hello world"))
			},
			check: func(got, logs string) error {
				if !strings.Contains(got, "Content-Length:") {
					return errors.New("no content-length")

						errs = appendErrors(errs, check(len(src.Principals) != 0, "From.Principals"))
						errs = appendErrors(errs, check(len(src.NotPrincipals) != 0, "From.NotPrincipals"))
						errs = appendErrors(errs, check(len(src.RequestPrincipals) != 0, "From.RequestPrincipals"))
						errs = appendErrors(errs, check(len(src.NotRequestPrincipals) != 0, "From.NotRequestPrincipals"))
					}
				}

// Translator class.
// TODO(hinsu): Now that translation is done by making a single pass over the
// MLIR module, consider inlining these validation checks at the place where
// these invariants are assumed instead of checking upfront.
static bool IsValidTFLiteMlirModule(ModuleOp module) {
  MLIRContext* context = module.getContext();

  // Verify that module has a function named main.

			continue
		}

		st := state.symType(s)

		if st <= sym.STEXT || st >= sym.SXREF {
			continue
		}
		state.data[st] = append(state.data[st], s)

		// Similarly with checking the onlist attr.
		if ldr.AttrOnList(s) {
			log.Fatalf("symbol %s listed multiple times", ldr.SymName(s))
		}
		ldr.SetAttrOnList(s, true)
	}

	// Now that we have the data symbols, but before we start

	}

	expectPanic("Exec Exec", func() { db.Exec("PANIC|Exec|WIPE") })
	exec(t, db, "WIPE") // check not deadlocked
	expectPanic("Exec NumInput", func() { db.Exec("PANIC|NumInput|WIPE") })
	exec(t, db, "WIPE") // check not deadlocked
	expectPanic("Exec Close", func() { db.Exec("PANIC|Close|WIPE") })
	exec(t, db, "WIPE")             // check not deadlocked
	exec(t, db, "PANIC|Query|WIPE") // should run successfully: Exec does not call Query

    self.assertCountEqual(
        converted_model.signatures._signatures.keys(), {'serving_default'}
    )

    # Indirectly prove that it is performing a static-range quantization
    # by checking that it complains about representative_dataset when it is
    # not provided.
    with self.assertRaisesRegex(ValueError, 'representative_dataset'):
      quantize_model.quantize(self._input_saved_model_path)