def extract_docstring(self):
        lines = open(self.filename).readlines()
        start_row = 0
        if lines[0].startswith('#!'):
            lines.pop(0)
            start_row = 1

        docstring = ''
        first_par = ''
        tokens = tokenize.generate_tokens(lines.__iter__().next)
        for tok_type, tok_content, _, (erow, _), _ in tokens:
            tok_type = token.tok_name[tok_type]
            if tok_type in ('NEWLINE', 'COMMENT', 'NL', 'INDENT', 'DEDENT'):
                continue
            elif tok_type == 'STRING':
                docstring = eval(tok_content)
                # If the docstring is formatted with several paragraphs,
                # extract the first one:
                paragraphs = '\n'.join(line.rstrip()
                                       for line in docstring.split('\n')
                                       ).split('\n\n')
                if len(paragraphs) > 0:
                    first_par = paragraphs[0]
            break

        thumbloc = None
        for i, line in enumerate(docstring.split("\n")):
            m = re.match(r"^_thumb: (\.\d+),\s*(\.\d+)", line)
            if m:
                thumbloc = float(m.group(1)), float(m.group(2))
                break
        if thumbloc is not None:
            self.thumbloc = thumbloc
            docstring = "\n".join([l for l in docstring.split("\n")
                                   if not l.startswith("_thumb")])

        self.docstring = docstring
        self.short_desc = first_par
        self.end_line = erow + 1 + start_row
Extract a module-level docstring
dataset/ETHPy150Open scikit-beam/scikit-beam/doc/sphinxext/plot_generator.py/ExampleGenerator.extract_docstring