






from __future__ import annotations

import collections
import pprint
from pathlib import Path





def 						__UpperCAmelCase			(     a_):
							return "".join(sorted(a__))





def 						__UpperCAmelCase			(     a_):
							return word_by_signature[signature(a__)]


lowercase  							=					Path(__file__).parent.joinpath("words.txt").read_text(encoding="utf-8")
lowercase  							=					sorted({word.strip().lower() for word in data.splitlines()})

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

if __name__ == "__main__":
	lowercase  							=					{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))







from dataclasses import dataclass, field
from typing import ClassVar, Dict

from ..features import Features, Value
from .base import TaskTemplate







@dataclass(frozen=a			)
class 			__A( a			):
				snake_case_						   =    field(default='''language-modeling'''  ,   metadata={'''include_in_asdict_even_if_is_default''': True}			)

				snake_case_						   =    Features({'''text''': Value('''string'''			)}			)
				snake_case_						   =    Features({}			)
				snake_case_						   =    "text"




				@property
				def 				SCREAMING_SNAKE_CASE_		(     self				)    ->      Dict[str, str]:


								'''simple docstring'''




								return {self.text_column: "text"}