




import unittest

from transformers import BigBirdTokenizer, BigBirdTokenizerFast
from transformers.testing_utils import get_tests_dir, require_sentencepiece, require_tokenizers, require_torch, slow
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin


lowerCamelCase	:	Union[str, Any]				=   '▁'

lowerCamelCase	:	Optional[int]				=   get_tests_dir('fixtures/test_sentencepiece.model')




@require_sentencepiece
@require_tokenizers
class 						__lowercase		(UpperCamelCase__					,		unittest.TestCase							):




      """simple docstring"""





      _snake_case												=						BigBirdTokenizer
      _snake_case												=						BigBirdTokenizerFast
      _snake_case												=						True
      _snake_case												=						True

      def      UpperCAmelCase				(				self     )		->    Optional[Any]:
         super().setUp()

         snake_case				:    str           =	self.tokenizer_class(A    ,				keep_accents=A     )
         tokenizer.save_pretrained(self.tmpdirname     )

      def      UpperCAmelCase				(				self     )		->    List[Any]:
         snake_case				:    List[Any]           =	"""<s>"""
         snake_case				:    Tuple           =	1

         self.assertEqual(self.get_tokenizer()._convert_token_to_id(A     )    ,				A     )
         self.assertEqual(self.get_tokenizer()._convert_id_to_token(A     )    ,				A     )

      def      UpperCAmelCase				(				self     )		->    int:
         snake_case				:    Optional[Any]           =	list(self.get_tokenizer().get_vocab().keys()     )

         self.assertEqual(vocab_keys[0]    ,				'''<unk>'''     )
         self.assertEqual(vocab_keys[1]    ,				'''<s>'''     )
         self.assertEqual(vocab_keys[-1]    ,				'''[MASK]'''     )
         self.assertEqual(len(A     )    ,				1_0_0_4     )

      def      UpperCAmelCase				(				self     )		->    Optional[int]:
         self.assertEqual(self.get_tokenizer().vocab_size    ,				1_0_0_0     )

      def      UpperCAmelCase				(				self     )		->    Any:
         if not self.test_rust_tokenizer:
            return

         snake_case				:    List[Any]           =	self.get_tokenizer()
         snake_case				:    List[str]           =	self.get_rust_tokenizer()

         snake_case				:    str           =	"""I was born in 92000, and this is falsé."""

         snake_case				:    Tuple           =	tokenizer.tokenize(A     )
         snake_case				:    Optional[int]           =	rust_tokenizer.tokenize(A     )
         self.assertListEqual(A    ,				A     )

         snake_case				:    Any           =	tokenizer.encode(A    ,				add_special_tokens=A     )
         snake_case				:    Optional[int]           =	rust_tokenizer.encode(A    ,				add_special_tokens=A     )
         self.assertListEqual(A    ,				A     )

         snake_case				:    List[str]           =	self.get_rust_tokenizer()
         snake_case				:    Any           =	tokenizer.encode(A     )
         snake_case				:    Optional[int]           =	rust_tokenizer.encode(A     )
         self.assertListEqual(A    ,				A     )

      def      UpperCAmelCase				(				self     )		->    List[str]:
         snake_case				:    Dict           =	BigBirdTokenizer(A    ,				keep_accents=A     )

         snake_case				:    List[Any]           =	tokenizer.tokenize('''This is a test'''     )
         self.assertListEqual(A    ,				['''▁This''', '''▁is''', '''▁a''', '''▁t''', '''est''']     )

         self.assertListEqual(
             tokenizer.convert_tokens_to_ids(A     )    ,				[2_8_5, 4_6, 1_0, 1_7_0, 3_8_2]    ,				)

         snake_case				:    Any           =	tokenizer.tokenize('''I was born in 92000, and this is falsé.'''     )
         self.assertListEqual(
             A    ,				[
                 SPIECE_UNDERLINE + '''I''',
                 SPIECE_UNDERLINE + '''was''',
                 SPIECE_UNDERLINE + '''b''',
                 '''or''',
                 '''n''',
                 SPIECE_UNDERLINE + '''in''',
                 SPIECE_UNDERLINE + '''''',
                 '''9''',
                 '''2''',
                 '''0''',
                 '''0''',
                 '''0''',
                 ''',''',
                 SPIECE_UNDERLINE + '''and''',
                 SPIECE_UNDERLINE + '''this''',
                 SPIECE_UNDERLINE + '''is''',
                 SPIECE_UNDERLINE + '''f''',
                 '''al''',
                 '''s''',
                 '''é''',
                 '''.''',
             ]    ,				)
         snake_case				:    int           =	tokenizer.convert_tokens_to_ids(A     )
         self.assertListEqual(
             A    ,				[8, 2_1, 8_4, 5_5, 2_4, 1_9, 7, 0, 6_0_2, 3_4_7, 3_4_7, 3_4_7, 3, 1_2, 6_6, 4_6, 7_2, 8_0, 6, 0, 4]    ,				)

         snake_case				:    int           =	tokenizer.convert_ids_to_tokens(A     )
         self.assertListEqual(
             A    ,				[
                 SPIECE_UNDERLINE + '''I''',
                 SPIECE_UNDERLINE + '''was''',
                 SPIECE_UNDERLINE + '''b''',
                 '''or''',
                 '''n''',
                 SPIECE_UNDERLINE + '''in''',
                 SPIECE_UNDERLINE + '''''',
                 '''<unk>''',
                 '''2''',
                 '''0''',
                 '''0''',
                 '''0''',
                 ''',''',
                 SPIECE_UNDERLINE + '''and''',
                 SPIECE_UNDERLINE + '''this''',
                 SPIECE_UNDERLINE + '''is''',
                 SPIECE_UNDERLINE + '''f''',
                 '''al''',
                 '''s''',
                 '''<unk>''',
                 '''.''',
             ]    ,				)

      @cached_property
      def      UpperCAmelCase				(				self     )		->    List[Any]:
         return BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''     )

      @slow
      def      UpperCAmelCase				(				self     )		->    Optional[Any]:
         snake_case				:    Dict           =	"""Hello World!"""
         snake_case				:    Tuple           =	[6_5, 1_8_5_3_6, 2_2_6_0, 1_0_1, 6_6]

         self.assertListEqual(A    ,				self.big_tokenizer.encode(A     )     )

      @slow
      def      UpperCAmelCase				(				self     )		->    int:
         snake_case				:    Dict           =	(
             """This is a very long text with a lot of weird characters, such as: . , ~ ? ( ) \" [ ] ! : - . Also we will"""
             """ add words that should not exsist and be tokenized to <unk>, such as saoneuhaoesuth"""
         )
         # fmt: off
         snake_case				:    int           =	[6_5, 8_7_1, 4_1_9, 3_5_8, 9_4_6, 9_9_1, 2_5_2_1, 4_5_2, 3_5_8, 1_3_5_7, 3_8_7, 7_7_5_1, 3_5_3_6, 1_1_2, 9_8_5, 4_5_6, 1_2_6, 8_6_5, 9_3_8, 5_4_0_0, 5_7_3_4, 4_5_8, 1_3_6_8, 4_6_7, 7_8_6, 2_4_6_2, 5_2_4_6, 1_1_5_9, 6_3_3, 8_6_5, 4_5_1_9, 4_5_7, 5_8_2, 8_5_2, 2_5_5_7, 4_2_7, 9_1_6, 5_0_8, 4_0_5, 3_4_3_2_4, 4_9_7, 3_9_1, 4_0_8, 1_1_3_4_2, 1_2_4_4, 3_8_5, 1_0_0, 9_3_8, 9_8_5, 4_5_6, 5_7_4, 3_6_2, 1_2_5_9_7, 3_2_0_0, 3_1_2_9, 1_1_7_2, 6_6]  # noqa: E231
         # fmt: on
         self.assertListEqual(A    ,				self.big_tokenizer.encode(A     )     )

      @require_torch
      @slow
      def      UpperCAmelCase				(				self     )		->    Optional[int]:
         import torch

         from transformers import BigBirdConfig, BigBirdModel

         # Build sequence
         snake_case				:    Union[str, Any]           =	list(self.big_tokenizer.get_vocab().keys()     )[:1_0]
         snake_case				:    List[str]           =	""" """.join(A     )
         snake_case				:    Any           =	self.big_tokenizer.encode_plus(A    ,				return_tensors='''pt'''    ,				return_token_type_ids=A     )
         snake_case				:    List[Any]           =	self.big_tokenizer.batch_encode_plus(
             [sequence + ''' ''' + sequence]    ,				return_tensors='''pt'''    ,				return_token_type_ids=A     )

         snake_case				:    str           =	BigBirdConfig(attention_type='''original_full'''     )
         snake_case				:    Dict           =	BigBirdModel(A     )

         assert model.get_input_embeddings().weight.shape[0] >= self.big_tokenizer.vocab_size

         with torch.no_grad():
            model(**A     )
            model(**A     )

      @slow
      def      UpperCAmelCase				(				self     )		->    str:
         snake_case				:    int           =	BigBirdTokenizer.from_pretrained('''google/bigbird-roberta-base'''     )
         snake_case				:    Optional[int]           =	tokenizer.decode(tokenizer('''Paris is the [MASK].'''     ).input_ids     )

         self.assertTrue(decoded_text == '''[CLS] Paris is the[MASK].[SEP]'''     )

      @slow
      def      UpperCAmelCase				(				self     )		->    Dict:
         # fmt: off
         snake_case				:    int           =	{"""input_ids""": [[6_5, 3_9_2_8_6, 4_5_8, 3_6_3_3_5, 2_0_0_1, 4_5_6, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 7_7_4_6, 1_7_4_1, 1_1_1_5_7, 3_9_1, 1_3_0_7_3, 1_3_2_6_6, 4_5_5, 1_1_3, 3_9_6_7, 3_5_4_1_2, 1_1_3, 4_9_3_6, 1_0_9, 3_8_7_0, 2_3_7_7, 1_1_3, 3_0_0_8_4, 4_5_7_2_0, 4_5_8, 1_3_4, 1_7_4_9_6, 1_1_2, 5_0_3, 1_1_6_7_2, 1_1_3, 1_1_8, 1_1_2, 5_6_6_5, 1_3_3_4_7, 3_8_6_8_7, 1_1_2, 1_4_9_6, 3_1_3_8_9, 1_1_2, 3_2_6_8, 4_7_2_6_4, 1_3_4, 9_6_2, 1_1_2, 1_6_3_7_7, 8_0_3_5, 2_3_1_3_0, 4_3_0, 1_2_1_6_9, 1_5_5_1_8, 2_8_5_9_2, 4_5_8, 1_4_6, 4_1_6_9_7, 1_0_9, 3_9_1, 1_2_1_6_9, 1_5_5_1_8, 1_6_6_8_9, 4_5_8, 1_4_6, 4_1_3_5_8, 1_0_9, 4_5_2, 7_2_6, 4_0_3_4, 1_1_1, 7_6_3, 3_5_4_1_2, 5_0_8_2, 3_8_8, 1_9_0_3, 1_1_1, 9_0_5_1, 3_9_1, 2_8_7_0, 4_8_9_1_8, 1_9_0_0, 1_1_2_3, 5_5_0, 9_9_8, 1_1_2, 9_5_8_6, 1_5_9_8_5, 4_5_5, 3_9_1, 4_1_0, 2_2_9_5_5, 3_7_6_3_6, 1_1_4, 6_6], [6_5, 4_4_8, 1_7_4_9_6, 4_1_9, 3_6_6_3, 3_8_5, 7_6_3, 1_1_3, 2_7_5_3_3, 2_8_7_0, 3_2_8_3, 1_3_0_4_3, 1_6_3_9, 2_4_7_1_3, 5_2_3, 6_5_6, 2_4_0_1_3, 1_8_5_5_0, 2_5_2_1, 5_1_7, 2_7_0_1_4, 2_1_2_4_4, 4_2_0, 1_2_1_2, 1_4_6_5, 3_9_1, 9_2_7, 4_8_3_3, 3_8_8, 5_7_8, 1_1_7_8_6, 1_1_4, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [6_5, 4_8_4, 2_1_6_9, 7_6_8_7, 2_1_9_3_2, 1_8_1_4_6, 7_2_6, 3_6_3, 1_7_0_3_2, 3_3_9_1, 1_1_4, 6_6, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]], """attention_mask""": [[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0], [1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0]]}  # noqa: E501
         # fmt: on

         self.tokenizer_integration_test_util(
             expected_encoding=A    ,				model_name='''google/bigbird-roberta-base'''    ,				revision='''215c99f1600e06f83acce68422f2035b2b5c3510'''    ,				)











from collections import defaultdict




def 						SCREAMING_SNAKE_CASE__ (   lowercase						,lowercase					)  ->       bool:
   snake_case				:    List[str]           =	first_str.lower().strip()
   snake_case				:    List[str]           =	second_str.lower().strip()

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

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

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

   # For each character in input strings,
   # increment count in the corresponding
   for i in range(len(lowercase					)					):
      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()
       lowerCamelCase	:	List[Any]				=   input('Enter the first string ').strip()
       lowerCamelCase	:	Optional[int]				=   input('Enter the second string ').strip()

       lowerCamelCase	:	Optional[Any]				=   check_anagrams(input_a, input_b)
       print(f"""{input_a} and {input_b} are {"" if status else "not "}anagrams.""")





