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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def write_to_csv(self, filename=None, extension='.dat', overwrite=False, stride=1, chunksize=None, **kw):
 """ write all data to csv with numpy.savetxt Parameters filename : str, optional filename string, which may contain placeholders {itraj} and {stride}: * itraj will be replaced by trajetory index * stride is stride argument of this method If filename is not given, it is being tried to obtain the filenames from the data source of this iterator. extension : str, optional, default='.dat' filename extension of created files overwrite : bool, optional, default=False shall existing files be overwritten? If a file exists, this method will raise. stride : int omit every n'th frame chunksize: int, default=None how many frames to process at once kw : dict, optional named arguments passed into numpy.savetxt (header, seperator etc.) Example ------- Assume you want to save features calculated by some FeatureReader to ASCII: ['distances_0.dat', 'distances_1.dat', 'distances_2.dat'] """

        import os
        if not filename:
            assert hasattr(self, 'filenames')
            #    raise RuntimeError("could not determine filenames")
            filenames = []
            for f in self.filenames:
                base, _ = os.path.splitext(f)
                filenames.append(base + extension)
        elif isinstance(filename, str):
            filename = filename.replace('{stride}', str(stride))
            filenames = [filename.replace('{itraj}', str(itraj)) for itraj
                         in range(self.number_of_trajectories())]
        else:
            raise TypeError("filename should be str or None")
        self.logger.debug("write_to_csv, filenames=%s" % filenames)
        # check files before starting to write
        import errno
        for f in filenames:
            try:
                st = os.stat(f)
                raise OSError(errno.EEXIST)
            except OSError as e:
                if e.errno == errno.EEXIST:
                    if overwrite:
                        continue
                elif e.errno == errno.ENOENT:
                    continue
                raise
        f = None
        from pyemma._base.progress import ProgressReporter
        pg = ProgressReporter()
        it = self.iterator(stride, chunk=chunksize, return_trajindex=False)
        pg.register(it.n_chunks, "saving to csv")
        with it, pg.context():
            oldtraj = -1
            for X in it:
                if oldtraj != it.current_trajindex:
                    if f is not None:
                        f.close()
                    fn = filenames[it.current_trajindex]
                    self.logger.debug("opening file %s for writing csv." % fn)
                    f = open(fn, 'wb')
                    oldtraj = it.current_trajindex
                np.savetxt(f, X, **kw)
                f.flush()
                pg.update(1, 0)
        if f is not None:
            f.close()