def write(self, data):
        if self._closed:
            raise ValueError("cannot write to a closed file")

        try:
            # file-like
            read = data.read
        except AttributeError:
            # string
            if not isinstance(data, string_types):
                raise TypeError("can only write strings or file-like objects")
            if isinstance(data, unicode):
                try:
                    data = data.encode(self.encoding)
                except AttributeError:
                    raise TypeError("must specify an encoding for file in "
                                    "order to write %s" % (text_type.__name__,))
            read = StringIO(data).read

        if self._buffer.tell() > 0:
            # Make sure to flush only when _buffer is complete
            space = self.chunk_size - self._buffer.tell()
            if space:
                to_write = read(space)
                self._buffer.write(to_write)
                if len(to_write) < space:
                    return # EOF or incomplete
            self.__flush_buffer()
        to_write = read(self.chunk_size)
        while to_write and len(to_write) == self.chunk_size:
            self.__flush_data(to_write)
            to_write = read(self.chunk_size)
        self._buffer.write(to_write)
Discard non-benchmark elements of the list
dataset/ETHPy150Open blynch/CloudMemeBackend/gridfs/grid_file.py/GridIn.write--crossover with--dataset/ETHPy150Open pydata/vbench/vbench/benchmark.py/BenchmarkSuite.benchmarks