protected Result saveImage(final ImageInputStream input, final File outputFile) throws IOException {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final Iterator<ImageReader> readers = ImageIO.getImageReaders(input);
        if (readers.hasNext()) {
            final ImageReader reader = readers.next();
            try {
                reader.setInput(input);

question",badDate:"You have not given a correct date",lengthBadStart:"The input value must be between ",lengthBadEnd:" characters",lengthTooLongStart:"The input value is longer than ",lengthTooShortStart:"The input value is shorter than ",notConfirmed:"Input values could not be confirmed",badDomain:"Incorrect domain value",badUrl:"The input value is not a correct URL",badCustomVal:"The input value is incorrect",andSpaces:" and spaces ",badInt:"The input value was not a correct number",badSecurityNumber:"Your social...

	}
}

// NewLexer returns a lexer for the named file and the given link context.
func NewLexer(name string) TokenReader {
	input := NewInput(name)
	fd, err := os.Open(name)
	if err != nil {
		log.Fatalf("%s\n", err)
	}
	input.Push(NewTokenizer(name, fd, fd))
	return input
}

// The other files in this directory each contain an implementation of TokenReader.

    }
    for test_type, expect in types.items():
        app = FastAPI()

        @app.post("/", response_model=test_type)
        def post_endpoint(input: test_type):
            return input

        res = TestClient(app).post("/", json=expect)
        assert res.status_code == 200, res.json()

         "      input: 'var0'"
         "      attr {"
         "        key: 'dtype'"
         "        value {"
         "          type: DT_FLOAT"
         "        }"
         "      }"
         "    }"
         "    node_def {"
         "      name: 'add'"
         "      op: 'Add'"
         "      input: 'read0:value:0'"
         "      input: 'read0:value:0'"

	if flag.NArg() == 0 {
		flag.Usage()
	}

	// Flag refinement.
	if *OutputFile == "" {
		if flag.NArg() != 1 {
			flag.Usage()
		}
		input := filepath.Base(flag.Arg(0))
		input = strings.TrimSuffix(input, ".s")
		*OutputFile = fmt.Sprintf("%s.o", input)
	}

            "detail": {
                "errors": [
                    {
                        "type": "list_type",
                        "loc": ["body"],
                        "msg": "Input should be a valid list",
                        "input": {"numbers": [1, 2, 3]},
                    }
                ],
                "body": '{"numbers": [1, 2, 3]}',
            }
        }
    ) | IsDict(

// just enough to support pprof.
//
// Usage:
//
//	go tool addr2line binary
//
// Addr2line reads hexadecimal addresses, one per line and with optional 0x prefix,
// from standard input. For each input address, addr2line prints two output lines,
// first the name of the function containing the address and second the file:line
// of the source code corresponding to that address.
//

// A compute function. This will never actually get called in this test, it's
// just nice to know that it compiles.
void compute(void* kernel, TF_OpKernelContext* ctx) {
  TF_Tensor* input;
  TF_Status* s = TF_NewStatus();
  TF_GetInput(ctx, 0, &input, s);
  TF_DeleteTensor(input);
  TF_DeleteStatus(s);
}

// Exercises tensorflow's C API.
int main(int argc, char** argv) {
  TF_InitMain(argv[0], &argc, &argv);

// Run a function containing a MatMul op and check its output.
// If heavy_load_on_streaming_rpc is true, send some rpc requests before the one
// which creates a remote input, to simulate a scenario that the remote input
// is not ready when we start running an op or a function.
void TestRemoteExecuteSilentCopies(bool async, bool remote, bool func,
                                   bool heavy_load_on_streaming_rpc,