if r.checkFuncMisuse() {
				list = append(list, r.ifNext(syntax.Lss, 0, false, r.setStateAt(curLoopIndex, abi.RF_DONE), retStmt(r.useObj(r.false))))
			} else {
				list = append(list, r.ifNext(syntax.Lss, 0, false, retStmt(r.useObj(r.false))))
			}
		}

		depthStep := perLoopStep * (curLoop)

		if r.checkFuncMisuse() {

// RUN: tf-opt -tfl-prepare-composite-funcs-tf="fuse-tftext=true" %s | FileCheck %s

func.func private @whitespace_tokenizer_rank1(%arg0: tensor<1x!tf_type.string> {tf._user_specified_name = "input"}) -> (tensor<?x!tf_type.string>, tensor<?xi64>) attributes {tf._input_shapes = [#tf_type.shape<1>], tf._implements = #tf_type.func<@"tftext:WhitespaceTokenizer", {}>, tf.signature.is_stateful} {
  %0 = "tf.Const"() {value = dense<[0, 1]> : tensor<2xi64>} : () -> tensor<2xi64>

		{"abcd", "bc", true, "d", true},
	}

	for i, tc := range matcherCases {
		res, ok := matcher(tc.iText, tc.iPat, tc.iHasLeadingPercent)
		if res != tc.resultExpected || ok != tc.matchExpected {
			t.Errorf("Matcher Case %d failed", i)
		}
	}

	evalCases := []struct {
		iText, iPat   string
		iEsc          rune
		matchExpected bool
		errExpected   error
	}{
		{"abcd", "abc", runeZero, false, nil},

        } catch (final OfficeException e) {
            throw new CrawlerSystemException("Failed to stop officeManager.", e);
        }
    }

    public void addConversionRule(final String inExt, final String outExt) {
        extensionMap.put(inExt, outExt);
    }

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.fess.crawler.extractor.Extractor#getText(java.io.InputStream,
     * java.util.Map)
     */

				p.state = inEscape
				m = n + 1 // +1: skip tabwriter.Escape
			default:
				_, err = p.output.Write(p.space)
				p.state = inText
				m = n
			}
		case inEscape:
			if b == tabwriter.Escape {
				_, err = p.output.Write(data[m:n])
				p.resetSpace()
			}
		case inText:
			switch b {
			case '\t', ' ':
				_, err = p.output.Write(data[m:n])
				p.resetSpace()

// stub.
func PostProcessImports() error {
	ldr := importSymsState.l
	arch := importSymsState.arch
	keeprelocneeded := make(map[loader.Sym]loader.Sym)
	for _, s := range importSymsState.secSyms {
		isText := ldr.SymType(s) == sym.STEXT
		relocs := ldr.Relocs(s)
		for i := 0; i < relocs.Count(); i++ {
			r := relocs.At(i)
			rs := r.Sym()
			if ldr.SymType(rs) == sym.SDYNIMPORT {

namespace {
#define GEN_PASS_DEF_PREPARECOMPOSITEFUNCTIONSPASS
#include "tensorflow/compiler/mlir/lite/transforms/passes.h.inc"

constexpr char kTFAPIImplements[] = "tf.api_implements";
constexpr char kTFTextAPIPrefix[] = "tftext:";
constexpr char kCustomSSDPostprocessing[] = "TFLite_Detection_PostProcess";
constexpr char kTfNMSPadded[] = "non_max_suppression_padded_v2";
constexpr char kCustomMaxUnpooling[] = "addons:MaxUnpooling2D";

      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCreate_invalidSubtype() {
    try {
      MediaType.create("text", "pl@intext");
      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCreate_wildcardTypeDeclaredSubtype() {
    try {
      MediaType.create("*", "text");
      fail();

      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCreate_invalidSubtype() {
    try {
      MediaType.create("text", "pl@intext");
      fail();
    } catch (IllegalArgumentException expected) {
    }
  }

  public void testCreate_wildcardTypeDeclaredSubtype() {
    try {
      MediaType.create("*", "text");
      fail();

      body with the corresponding fused TFLite op. The replacement need not
      always be a fused op, though that is the primary use case.
  }];
  let options = [
      Option<"tfl_fuse_tftext_", "fuse-tftext", "bool", "false",
             "Fuse TF.Text API ops when it's true">
  ];

}

def PrepareQuantizePass : Pass<"tfl-prepare-quantize", "mlir::func::FuncOp"> {