





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

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




@dataclass(frozen=UpperCamelCase__ )
class        SCREAMING_SNAKE_CASE__					(		UpperCamelCase__ ):
 # `task` is not a ClassVar since we want it to be part of the `asdict` output for JSON serialization
 __SCREAMING_SNAKE_CASE							=      field(default='''summarization'''							,   metadata={'''include_in_asdict_even_if_is_default''': True} )
 __SCREAMING_SNAKE_CASE							=      Features({'''text''': Value('''string''' )} )
 __SCREAMING_SNAKE_CASE							=      Features({'''summary''': Value('''string''' )} )
 __SCREAMING_SNAKE_CASE							=      "text"
 __SCREAMING_SNAKE_CASE							=      "summary"



 @property
 def 							UpperCamelCase     (				self					):
        return {self.text_column: "text", self.summary_column: "summary"}












def       UpperCamelCase__(			UpperCamelCase__     :			str = "The quick brown fox jumps over the lazy dog"					,	)->bool:
       A__		   =		set()

       # Replace all the whitespace in our sentence
       A__		   =		input_str.replace(''' '''					,	''''''    )
       for alpha in input_str:
              if "a" <= alpha.lower() <= "z":
                     frequency.add(alpha.lower()    )
       return len(UpperCamelCase__    ) == 26


def       UpperCamelCase__(			UpperCamelCase__     :			str = "The quick brown fox jumps over the lazy dog"					,	)->bool:
       A__		   =		[False] * 26
       for char in input_str:
              if char.islower():
                     A__		   =		True
              elif char.isupper():
                     A__		   =		True
       return all(UpperCamelCase__    )


def       UpperCamelCase__(			UpperCamelCase__     :			str = "The quick brown fox jumps over the lazy dog"					,	)->bool:
       return len({char for char in input_str.lower() if char.isalpha()}    ) == 26


def       UpperCamelCase__(			)->None:
       from timeit import timeit

       A__		   =		'''from __main__ import is_pangram, is_pangram_faster, is_pangram_fastest'''
       print(timeit('''is_pangram()'''					,	setup=UpperCamelCase__    )    )
       print(timeit('''is_pangram_faster()'''					,	setup=UpperCamelCase__    )    )
       print(timeit('''is_pangram_fastest()'''					,	setup=UpperCamelCase__    )    )
       # 5.348480500048026, 2.6477354579837993, 1.8470395830227062
       # 5.036091582966037, 2.644472333951853,  1.8869528750656173


if __name__ == "__main__":
       import doctest

       doctest.testmod()
       benchmark()





