


import re
from pathlib import Path
from unittest import TestCase

import pytest







@pytest.mark.integration
class 		_snake_case  (      _snake_case							):




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):

       with open(_lowerCamelCase					,  encoding='''utf-8'''    ) as input_file:
             a						:List[str] 							=       re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''    )
             a						:Dict 							=       input_file.read()
             a						:Optional[int] 							=       regexp.search(_lowerCamelCase    )

       return match




 def        SCREAMING_SNAKE_CASE__				(		self					,  _lowerCamelCase    ):

       with open(_lowerCamelCase					,  encoding='''utf-8'''    ) as input_file:
             a						:Dict 							=       re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()'''					,  re.DOTALL    )
             a						:Optional[int] 							=       input_file.read()
             # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
             a						:Optional[Any] 							=       regexp.finditer(_lowerCamelCase    )

       a						:List[Any] 							=       [match for match in matches if match is not None and match.group(1    ) is not None]
       return matches[0] if matches else None




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:Optional[Any] 							=       Path('''./datasets'''    )
       a						:Optional[Any] 							=       list(dataset_paths.absolute().glob('''**/*.py'''    )    )

       for dataset in dataset_files:
             if self._no_encoding_on_file_open(str(_lowerCamelCase    )    ):
                   raise AssertionError(F'''open(...) must use utf-8 encoding in {dataset}'''    )




 def        SCREAMING_SNAKE_CASE__				(		self    ):
       a						:str 							=       Path('''./datasets'''    )
       a						:int 							=       list(dataset_paths.absolute().glob('''**/*.py'''    )    )

       for dataset in dataset_files:
             if self._no_print_statements(str(_lowerCamelCase    )    ):
                   raise AssertionError(F'''print statement found in {dataset}. Use datasets.logger/logging instead.'''    )









from __future__ import annotations

import collections
import pprint
from pathlib import Path
def 				__lowerCamelCase						( UpperCAmelCase_						:		str						):




      """simple docstring"""





      return "".join(sorted(UpperCAmelCase_						)						)
def 				__lowerCamelCase						( UpperCAmelCase_						:		str						):




      """simple docstring"""





      return word_by_signature[signature(UpperCAmelCase_						)]


snake_case				:    str       				=     Path(__file__).parent.joinpath('''words.txt''').read_text(encoding='''utf-8''')
snake_case				:    Optional[int]       				=     sorted({word.strip().lower() for word in data.splitlines()})

snake_case				:    str       				=     collections.defaultdict(list)
for word in word_list:
     word_by_signature[signature(word)].append(word)

if __name__ == "__main__":
     snake_case				:    Optional[int]       				=     {word: anagram(word) for word in word_list if len(anagram(word)) > 1}

     with open('''anagrams.txt''', '''w''') as file:
          file.write('''all_anagrams = \n ''')
          file.write(pprint.pformat(all_anagrams))





