





"""simple docstring"""



import argparse
import os
import re


a_					=     """src/transformers/models/auto"""


# re pattern that matches mapping introductions:
#    SUPER_MODEL_MAPPING_NAMES = OrderedDict or SUPER_MODEL_MAPPING = OrderedDict
a_					=     re.compile(R"""[A-Z_]+_MAPPING(\s+|_[A-Z_]+\s+)=\s+OrderedDict""")
# re pattern that matches identifiers in mappings
a_					=     re.compile(R"""\s*\(\s*\"(\S[^\"]+)\"""")







def 						__lowercase	(  snake_case_    :    str							,snake_case_    :    bool = False		)  ->Dict:



    '''simple docstring'''







    with open(snake_case_							,'''r'''							,encoding='''utf-8'''		) as f:
        __A       :		List[str]							=	f.read()

    __A       :		Any							=	content.split('''\n'''		)
    __A       :		List[Any]							=	[]
    __A       :		List[Any]							=	0
    while line_idx < len(snake_case_		):
        if _re_intro_mapping.search(lines[line_idx]		) is not None:
            __A       :		Dict							=	len(re.search(r'''^(\s*)\S'''							,lines[line_idx]		).groups()[0]		) + 8
            # Start of a new mapping!
            while not lines[line_idx].startswith(''' ''' * indent + '''('''		):
                new_lines.append(lines[line_idx]		)
                line_idx += 1

            __A       :		Optional[Any]							=	[]
            while lines[line_idx].strip() != "]":
                # Blocks either fit in one line or not
                if lines[line_idx].strip() == "(":
                    __A       :		int							=	line_idx
                    while not lines[line_idx].startswith(''' ''' * indent + ''')'''		):
                        line_idx += 1
                    blocks.append('''\n'''.join(lines[start_idx : line_idx + 1]		)		)
                else:
                    blocks.append(lines[line_idx]		)
                line_idx += 1

            # Sort blocks by their identifiers
            __A       :		Union[str, Any]							=	sorted(snake_case_							,key=lambda snake_case_		: _re_identifier.search(snake_case_		).groups()[0]		)
            new_lines += blocks
        else:
            new_lines.append(lines[line_idx]		)
            line_idx += 1

    if overwrite:
        with open(snake_case_							,'''w'''							,encoding='''utf-8'''		) as f:
            f.write('''\n'''.join(snake_case_		)		)
    elif "\n".join(snake_case_		) != content:
        return True







def 						__lowercase	(  snake_case_    :    bool = False		)  ->str:



    '''simple docstring'''







    __A       :		Any							=	[os.path.join(snake_case_							,snake_case_		) for f in os.listdir(snake_case_		) if f.endswith('''.py'''		)]
    __A       :		Union[str, Any]							=	[sort_auto_mapping(snake_case_							,overwrite=snake_case_		) for fname in fnames]

    if not overwrite and any(snake_case_		):
        __A       :		str							=	[f for f, d in zip(snake_case_							,snake_case_		) if d]
        raise ValueError(
            F"""The following files have auto mappings that need sorting: {', '.join(snake_case_		)}. Run `make style` to fix"""
            ''' this.'''		)


if __name__ == "__main__":
       a_					=     argparse.ArgumentParser()
       parser.add_argument("""--check_only""", action="""store_true""", help="""Whether to only check or fix style.""")
       a_					=     parser.parse_args()

       sort_all_auto_mappings(not args.check_only)











"""simple docstring"""



from collections import namedtuple

import requests
from lxml import html  # type: ignore

a_					=     namedtuple("""covid_data""", """cases deaths recovered""")







def 						__lowercase	(  snake_case_    :    str = "https://www.worldometers.info/coronavirus/"		)  ->covid_data:



    '''simple docstring'''







    __A       :		List[str]							=	'''//div[@class = "maincounter-number"]/span/text()'''
    return covid_data(*html.fromstring(requests.get(snake_case_		).content		).xpath(snake_case_		)		)


a_					=     """Total COVID-19 cases in the world: {}
Total deaths due to COVID-19 in the world: {}
Total COVID-19 patients recovered in the world: {}"""




print(fmt.format(*covid_stats()))




