



import os
import unittest

from transformers.models.bartpho.tokenization_bartpho import VOCAB_FILES_NAMES, BartphoTokenizer
from transformers.testing_utils import get_tests_dir

from ...test_tokenization_common import TokenizerTesterMixin


_lowerCAmelCase	:   str    =   get_tests_dir("fixtures/test_sentencepiece_bpe.model")


class 	__snake_case   ( A_							, unittest.TestCase ):
		SCREAMING_SNAKE_CASE__								=	BartphoTokenizer
		SCREAMING_SNAKE_CASE__								=	False
		SCREAMING_SNAKE_CASE__								=	True
		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						super().setUp()

						lowerCAmelCase__		  =  ["""▁This""", """▁is""", """▁a""", """▁t""", """est"""]
						lowerCAmelCase__		  =  dict(zip(a_    ,range(len(a_						)						)						)						)
						lowerCAmelCase__		  =  {"""unk_token""": """<unk>"""}

						lowerCAmelCase__		  =  os.path.join(self.tmpdirname    ,VOCAB_FILES_NAMES['monolingual_vocab_file']						)
						with open(self.monolingual_vocab_file    ,'w'    ,encoding='utf-8'						) as fp:
										for token in vocab_tokens:
														fp.write(f'{token} {vocab_tokens[token]}\n'						)

						lowerCAmelCase__		  =  BartphoTokenizer(a_    ,self.monolingual_vocab_file    ,**self.special_tokens_map						)
						tokenizer.save_pretrained(self.tmpdirname						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,**a_						):







						"""simple docstring"""
						kwargs.update(self.special_tokens_map						)
						return BartphoTokenizer.from_pretrained(self.tmpdirname    ,**a_						)
		def 						SCREAMING_SNAKE_CASE_					(							self    ,a_						):







						"""simple docstring"""
						lowerCAmelCase__		  =  """This is a là test"""
						lowerCAmelCase__		  =  """This is a<unk><unk> test"""
						return input_text, output_text



		def 						SCREAMING_SNAKE_CASE_					(							self						):







						"""simple docstring"""
						lowerCAmelCase__		  =  BartphoTokenizer(a_    ,self.monolingual_vocab_file    ,**self.special_tokens_map						)
						lowerCAmelCase__		  =  """This is a là test"""
						lowerCAmelCase__		  =  """▁This ▁is ▁a ▁l à ▁t est""".split()
						lowerCAmelCase__		  =  tokenizer.tokenize(a_						)
						self.assertListEqual(a_    ,a_						)

						lowerCAmelCase__		  =  tokens + [tokenizer.unk_token]
						lowerCAmelCase__		  =  [4, 5, 6, 3, 3, 7, 8, 3]
						self.assertListEqual(tokenizer.convert_tokens_to_ids(a_						)    ,a_						)




"""simple docstring"""
from collections import defaultdict

def 				_snake_case      (   __snake_case							:      str						, __snake_case							:      str   ):




   """simple docstring"""







   _lowerCamelCase	:					Tuple   =		first_str.lower().strip()
   _lowerCamelCase	:					int   =		second_str.lower().strip()

   # Remove whitespace
   _lowerCamelCase	:					Any   =		first_str.replace(""" """						, """"""   )
   _lowerCamelCase	:					List[str]   =		second_str.replace(""" """						, """"""   )

   # Strings of different lengths are not anagrams
   if len(__snake_case   ) != len(__snake_case   ):
      return False

   # Default values for count should be 0
   _lowerCamelCase	:					defaultdict[str, int]   =		defaultdict(__snake_case   )

   # For each character in input strings,
   # increment count in the corresponding
   for i in range(len(__snake_case   )   ):
      count[first_str[i]] += 1
      count[second_str[i]] -= 1

   return all(_count == 0 for _count in count.values()   )


if __name__ == "__main__":
 from doctest import testmod

 testmod()
 UpperCAmelCase				=						input("""Enter the first string """).strip()
 UpperCAmelCase				=						input("""Enter the second string """).strip()

 UpperCAmelCase				=						check_anagrams(input_a, input_b)
 print(f'''{input_a} and {input_b} are {"" if status else "not "}anagrams.''')

