Parse table-like data. A table composes of three parts: header,
        main body, footer. All the data matches "row pattern" in the main body
        will be returned.

        Args:
            header_pattern (str): The regular expression pattern matches the
                table header. This pattern should match all the text
                immediately before the main body of the table. For multiple
                sections table match the text until the section of
                interest. MULTILINE and DOTALL options are enforced, as a
                result, the "." meta-character will also match "\n" in this
                section.
            row_pattern (str): The regular expression matches a single line in
                the table. Capture interested field using regular expression
                groups.
            footer_pattern (str): The regular expression matches the end of the
                table. E.g. a long dash line.
            postprocess (callable): A post processing function to convert all
                matches. Defaults to str, i.e., no change.
            attribute_name (str): Name of this table. If present the parsed data
                will be attached to "data. e.g. self.data["efg"] = [...]
            last_one_only (bool): All the tables will be parsed, if this option
                is set to True, only the last table will be returned. The
                enclosing list will be removed. i.e. Only a single table will
                be returned. Default to be True.

        Returns:
            List of tables. 1) A table is a list of rows. 2) A row if either a list of
            attribute values in case the the capturing group is defined without name in
            row_pattern, or a dict in case that named capturing groups are defined by
            row_pattern.

def read_table_pattern(self, header_pattern, row_pattern, footer_pattern,
                           postprocess=str, attribute_name=None,
                           last_one_only=True):
        """
        Parse table-like data. A table composes of three parts: header,
        main body, footer. All the data matches "row pattern" in the main body
        will be returned.

        Args:
            header_pattern (str): The regular expression pattern matches the
                table header. This pattern should match all the text
                immediately before the main body of the table. For multiple
                sections table match the text until the section of
                interest. MULTILINE and DOTALL options are enforced, as a
                result, the "." meta-character will also match "\n" in this
                section.
            row_pattern (str): The regular expression matches a single line in
                the table. Capture interested field using regular expression
                groups.
            footer_pattern (str): The regular expression matches the end of the
                table. E.g. a long dash line.
            postprocess (callable): A post processing function to convert all
                matches. Defaults to str, i.e., no change.
            attribute_name (str): Name of this table. If present the parsed data
                will be attached to "data. e.g. self.data["efg"] = [...]
            last_one_only (bool): All the tables will be parsed, if this option
                is set to True, only the last table will be returned. The
                enclosing list will be removed. i.e. Only a single table will
                be returned. Default to be True.

        Returns:
            List of tables. 1) A table is a list of rows. 2) A row if either a list of
            attribute values in case the the capturing group is defined without name in
            row_pattern, or a dict in case that named capturing groups are defined by
            row_pattern.
        """
        with zopen(self.filename, 'rt') as f:
            text = f.read()
        table_pattern_text = header_pattern + r"\s*^(?P<table_body>(?:\s+" + \
                             row_pattern + r")+)\s+" + footer_pattern
        table_pattern = re.compile(table_pattern_text, re.MULTILINE | re.DOTALL)
        rp = re.compile(row_pattern)
        tables = []
        for mt in table_pattern.finditer(text):
            table_body_text = mt.group("table_body")
            table_contents = []
            for line in table_body_text.split("\n"):
                ml = rp.search(line)
                d = ml.groupdict()
                if len(d) > 0:
                    processed_line = {k: postprocess(v) for k, v in d.items()}
                else:
                    processed_line = [postprocess(v) for v in ml.groups()]
                table_contents.append(processed_line)
            tables.append(table_contents)
        if last_one_only:
            retained_data = tables[-1]
        else:
            retained_data = tables
        if attribute_name is not None:
            self.data[attribute_name] = retained_data
        return retained_data