}

        @Override
        void writeTo(OutputStream output) throws IOException {
            ++writeCount
            output << content
        }

        @Override
        long getSize() {
            return content.length
        }
    }

    private static Writer writer(byte[] content) {
        new Writer(content)
    }

  if (!status.ok()) {
    error_reporter->exception();
    return nullptr;
  }
  return tflite::python_utils::ConvertToPyString(
      reinterpret_cast<const char*>(builder.GetCurrentBufferPointer()),
      builder.GetSize());
}

PyObject* RegisterCustomOpdefs(PyObject* list) {
  if (!PyList_Check(list)) {
    PyErr_SetString(PyExc_TypeError, "Expected list in argument");
    return nullptr;
  }

  if (ta.getDynamicSize()) {
    return ta.emitOpError("dynamic tensor array size is unsupported");
  }
  Value buffer;
  OpBuilder builder(ta);
  if (failed(cutil::CreateInitBufferValue(*elem_shape, ta.getSize(), ta,
                                          ta.getDtype(), builder, &buffer))) {
    return failure();
  }
  auto var_type = RankedTensorType::get(
      {}, TF::ResourceType::get(

            responseData.setCharSet(Constants.UTF_8);
            responseData.setLastModified(file.getTimestamp().getTime());

            // check file size
            responseData.setContentLength(file.getSize());
            checkMaxContentLength(responseData);

            if (file.getUser() != null) {
                responseData.addMetaData(FTP_FILE_USER, file.getUser());
            }

        "Quantize weights transformation failed.");
  }
  const uint8_t* q_buffer = q_builder.GetBufferPointer();
  *result =
      std::string(reinterpret_cast<const char*>(q_buffer), q_builder.GetSize());

  return absl::OkStatus();
}

absl::Status ConvertTFExecutorToStablehloFlatbuffer(
    mlir::PassManager& pass_manager, mlir::ModuleOp module, bool export_to_mlir,

        exportedKeyRingAscii.exists()
        def keyringsAscii = SecuritySupport.loadKeyRingFile(exportedKeyRingAscii)
        keyringsAscii.size() == 1
        PGPUtils.getSize(keyringsAscii[0]) == 5
    }

    def "checksums are exported properly when buildSrc is present"() {
        given:
        javaLibrary()
        uncheckedModule("org", "foo", "1.0")

                this.attrExpiration = System.currentTimeMillis() + th.getConfig().getAttributeCacheTimeout();
            }
            else if ( info instanceof FileStandardInfo ) {
                this.size = info.getSize();
                this.sizeExpiration = System.currentTimeMillis() + th.getConfig().getAttributeCacheTimeout();
            }
            return info;
        }

        /*

  auto begin = slice_op.getBegin();
  auto begin_type = mlir::dyn_cast_or_null<RankedTensorType>(begin.getType());
  if (!begin_type || !begin_type.hasStaticShape()) return failure();

  auto size = slice_op.getSize();
  auto size_type = mlir::dyn_cast_or_null<RankedTensorType>(size.getType());
  if (!size_type || !size_type.hasStaticShape()) return failure();

  auto output_type =

                    Type argType = paramTypes.get(typeVar);
                    _ILOAD_OF(argType, stackVar);
                    stackVar += argType.getSize();
                }
                _INVOKESPECIAL(superclassType, "<init>", superMethodDescriptor);

                if (addNameParameter) {
                    // this.name = name
                    _ALOAD(0);

  // check if Flatbuffer builder can no longer hold the given amount of the data
  inline bool IsModelBiggerThan2GB(const uint64_t data_size) {
    return data_size > flatbuffer_size_max - builder_.GetSize();
  }

  // helper function for build stablehlo operators
  std::optional<BufferOffset<tflite::Operator>>
  BuildStablehloOperatorwithoutOptions(Operation* inst,