




'''simple docstring'''



import json
import os
import shutil
import tempfile
import unittest

from transformers import BatchEncoding, CanineTokenizer
from transformers.testing_utils import require_tokenizers, require_torch
from transformers.tokenization_utils import AddedToken
from transformers.utils import cached_property

from ...test_tokenization_common import TokenizerTesterMixin







class 		lowercase_   (			A					,  unittest.TestCase       ):


   """simple docstring"""

   lowerCamelCase_      =						CanineTokenizer
   lowerCamelCase_      =						False



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      super().setUp()
      _SCREAMING_SNAKE_CASE	=				CanineTokenizer()
      tokenizer.save_pretrained(self.tmpdirname   )



   @cached_property
   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      return CanineTokenizer.from_pretrained("google/canine-s"   )



   def 							lowerCAmelCase_      (   self :     int  ,				**__lowerCamelCase :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.tokenizer_class.from_pretrained(self.tmpdirname  ,				**__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				1_0_2_4
      return tokenizer



   @require_torch
   def 							lowerCAmelCase_      (   self :     Union[str, Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.canine_tokenizer
      _SCREAMING_SNAKE_CASE	=				["Life is like a box of chocolates.", "You never know what you're gonna get."]
      # fmt: off
      _SCREAMING_SNAKE_CASE	=				[5_7_3_4_4, 7_6, 1_0_5, 1_0_2, 1_0_1, 3_2, 1_0_5, 1_1_5, 3_2, 1_0_8, 1_0_5, 1_0_7, 1_0_1, 3_2, 9_7, 3_2, 9_8, 1_1_1, 1_2_0, 3_2, 1_1_1, 1_0_2, 3_2, 9_9, 1_0_4, 1_1_1, 9_9, 1_1_1, 1_0_8, 9_7, 1_1_6, 1_0_1, 1_1_5, 4_6, 5_7_3_4_5, 0, 0, 0, 0]
      # fmt: on
      _SCREAMING_SNAKE_CASE	=				tokenizer(__lowerCamelCase  ,				padding=__lowerCamelCase  ,				return_tensors="pt"   )
      self.assertIsInstance(__lowerCamelCase  ,				__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				list(batch.input_ids.numpy()[0]   )

      self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )

      self.assertEqual((2, 3_9)  ,				batch.input_ids.shape   )
      self.assertEqual((2, 3_9)  ,				batch.attention_mask.shape   )



   @require_torch
   def 							lowerCAmelCase_      (   self :     Union[str, Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.canine_tokenizer
      _SCREAMING_SNAKE_CASE	=				["Once there was a man.", "He wrote a test in HuggingFace Tranformers."]
      _SCREAMING_SNAKE_CASE	=				tokenizer(__lowerCamelCase  ,				padding=__lowerCamelCase  ,				return_tensors="pt"   )
      # check if input_ids, attention_mask and token_type_ids are returned
      self.assertIn("input_ids"  ,				__lowerCamelCase   )
      self.assertIn("attention_mask"  ,				__lowerCamelCase   )
      self.assertIn("token_type_ids"  ,				__lowerCamelCase   )



   @require_torch
   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.canine_tokenizer
      _SCREAMING_SNAKE_CASE	=				[
          "What's the weater?",
          "It's about 25 degrees.",
      ]
      _SCREAMING_SNAKE_CASE	=				tokenizer(
          text_target=__lowerCamelCase  ,				max_length=3_2  ,				padding="max_length"  ,				truncation=__lowerCamelCase  ,				return_tensors="pt"   )
      self.assertEqual(3_2  ,				targets["input_ids"].shape[1]   )



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      # safety check on max_len default value so we are sure the test works
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers()
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            self.assertNotEqual(tokenizer.model_max_length  ,				4_2   )

        # Now let's start the test
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers()
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            # Isolate this from the other tests because we save additional tokens/etc
            _SCREAMING_SNAKE_CASE	=				tempfile.mkdtemp()

            _SCREAMING_SNAKE_CASE	=				" He is very happy, UNwant\u00E9d,running"
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            tokenizer.save_pretrained(__lowerCamelCase   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.__class__.from_pretrained(__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				after_tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )

            shutil.rmtree(__lowerCamelCase   )

      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers(model_max_length=4_2   )
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            # Isolate this from the other tests because we save additional tokens/etc
            _SCREAMING_SNAKE_CASE	=				tempfile.mkdtemp()

            _SCREAMING_SNAKE_CASE	=				" He is very happy, UNwant\u00E9d,running"

            _SCREAMING_SNAKE_CASE	=				tokenizer.additional_special_tokens

            # We can add a new special token for Canine as follows:
            _SCREAMING_SNAKE_CASE	=				chr(0xE0_07   )
            additional_special_tokens.append(__lowerCamelCase   )
            tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            tokenizer.save_pretrained(__lowerCamelCase   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.__class__.from_pretrained(__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				after_tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            self.assertListEqual(__lowerCamelCase  ,				__lowerCamelCase   )
            self.assertIn(__lowerCamelCase  ,				after_tokenizer.additional_special_tokens   )
            self.assertEqual(after_tokenizer.model_max_length  ,				4_2   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.__class__.from_pretrained(__lowerCamelCase  ,				model_max_length=4_3   )
            self.assertEqual(tokenizer.model_max_length  ,				4_3   )

            shutil.rmtree(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Any   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers(do_lower_case=__lowerCamelCase   )
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.get_clean_sequence(__lowerCamelCase   )

            # a special token for Canine can be defined as follows:
            _SCREAMING_SNAKE_CASE	=				0xE0_05
            _SCREAMING_SNAKE_CASE	=				chr(__lowerCamelCase   )

            tokenizer.add_special_tokens({"cls_token": special_token}   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            self.assertEqual(len(__lowerCamelCase   )  ,				1   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.decode(ids + encoded_special_token  ,				clean_up_tokenization_spaces=__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            self.assertEqual(__lowerCamelCase  ,				input_encoded + special_token_id   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase  ,				skip_special_tokens=__lowerCamelCase   )
            self.assertTrue(special_token not in decoded   )



   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers(do_lower_case=__lowerCamelCase   )
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            _SCREAMING_SNAKE_CASE	=				chr(0xE0_05   )
            _SCREAMING_SNAKE_CASE	=				chr(0xE0_06   )

            # `add_tokens` method stores special tokens only in `tokenizer.unique_no_split_tokens`. (in tokenization_utils.py)
            tokenizer.add_tokens([SPECIAL_TOKEN_1]  ,				special_tokens=__lowerCamelCase   )
            # `add_special_tokens` method stores special tokens in `tokenizer.additional_special_tokens`,
            # which also occur in `tokenizer.all_special_tokens`. (in tokenization_utils_base.py)
            tokenizer.add_special_tokens({"additional_special_tokens": [SPECIAL_TOKEN_2]}   )

            _SCREAMING_SNAKE_CASE	=				tokenizer.tokenize(__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.tokenize(__lowerCamelCase   )

            self.assertEqual(len(__lowerCamelCase   )  ,				1   )
            self.assertEqual(len(__lowerCamelCase   )  ,				1   )
            self.assertEqual(token_a[0]  ,				__lowerCamelCase   )
            self.assertEqual(token_a[0]  ,				__lowerCamelCase   )



   @require_tokenizers
   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers(do_lower_case=__lowerCamelCase   )
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            # a special token for Canine can be defined as follows:
            _SCREAMING_SNAKE_CASE	=				0xE0_06
            _SCREAMING_SNAKE_CASE	=				chr(__lowerCamelCase   )

            _SCREAMING_SNAKE_CASE	=				AddedToken(__lowerCamelCase  ,				lstrip=__lowerCamelCase   )
            tokenizer.add_special_tokens({"additional_special_tokens": [new_token]}   )

            with tempfile.TemporaryDirectory() as tmp_dir_name:
               tokenizer.save_pretrained(__lowerCamelCase   )
               tokenizer.from_pretrained(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Any   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[]
      if self.test_slow_tokenizer:
         tokenizer_list.append((self.tokenizer_class, self.get_tokenizer())   )

      if self.test_rust_tokenizer:
         tokenizer_list.append((self.rust_tokenizer_class, self.get_rust_tokenizer())   )

      for tokenizer_class, tokenizer_utils in tokenizer_list:
         with tempfile.TemporaryDirectory() as tmp_dir:
            tokenizer_utils.save_pretrained(__lowerCamelCase   )

            with open(os.path.join(__lowerCamelCase  ,				"special_tokens_map.json"   )  ,				encoding="utf-8"   ) as json_file:
               _SCREAMING_SNAKE_CASE	=				json.load(__lowerCamelCase   )

            with open(os.path.join(__lowerCamelCase  ,				"tokenizer_config.json"   )  ,				encoding="utf-8"   ) as json_file:
               _SCREAMING_SNAKE_CASE	=				json.load(__lowerCamelCase   )

            # a special token for Canine can be defined as follows:
            _SCREAMING_SNAKE_CASE	=				0xE0_06
            _SCREAMING_SNAKE_CASE	=				chr(__lowerCamelCase   )

            _SCREAMING_SNAKE_CASE	=				[new_token_a]
            _SCREAMING_SNAKE_CASE	=				[new_token_a]

            with open(os.path.join(__lowerCamelCase  ,				"special_tokens_map.json"   )  ,				"w"  ,				encoding="utf-8"   ) as outfile:
               json.dump(__lowerCamelCase  ,				__lowerCamelCase   )
            with open(os.path.join(__lowerCamelCase  ,				"tokenizer_config.json"   )  ,				"w"  ,				encoding="utf-8"   ) as outfile:
               json.dump(__lowerCamelCase  ,				__lowerCamelCase   )

            # the following checks allow us to verify that our test works as expected, i.e. that the tokenizer takes
            # into account the new value of additional_special_tokens given in the "tokenizer_config.json" and
            # "special_tokens_map.json" files
            _SCREAMING_SNAKE_CASE	=				tokenizer_class.from_pretrained(__lowerCamelCase  ,				extra_ids=0   )
            self.assertIn(__lowerCamelCase  ,				tokenizer_without_change_in_init.additional_special_tokens   )
            # self.assertIn("an_additional_special_token",tokenizer_without_change_in_init.get_vocab()) # ByT5Tokenization no vocab
            self.assertEqual(
                [new_token_a]  ,				tokenizer_without_change_in_init.convert_ids_to_tokens(
                    tokenizer_without_change_in_init.convert_tokens_to_ids([new_token_a]   )   )  ,				)

            _SCREAMING_SNAKE_CASE	=				0xE0_07
            _SCREAMING_SNAKE_CASE	=				chr(__lowerCamelCase   )
            # Now we test that we can change the value of additional_special_tokens in the from_pretrained
            _SCREAMING_SNAKE_CASE	=				[AddedToken(__lowerCamelCase  ,				lstrip=__lowerCamelCase   )]
            _SCREAMING_SNAKE_CASE	=				tokenizer_class.from_pretrained(
                __lowerCamelCase  ,				additional_special_tokens=__lowerCamelCase  ,				extra_ids=0   )

            self.assertIn(__lowerCamelCase  ,				tokenizer.additional_special_tokens   )
            # self.assertIn(new_token_2,tokenizer.get_vocab()) # ByT5Tokenization no vocab
            self.assertEqual(
                [new_token_a]  ,				tokenizer.convert_ids_to_tokens(tokenizer.convert_tokens_to_ids([new_token_a]   )   )   )



   @require_tokenizers
   def 							lowerCAmelCase_      (   self :     List[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers(do_lower_case=__lowerCamelCase   )
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            _SCREAMING_SNAKE_CASE	=				"hello world"
            if self.space_between_special_tokens:
               _SCREAMING_SNAKE_CASE	=				"[CLS] hello world [SEP]"
            else:
               _SCREAMING_SNAKE_CASE	=				input
            _SCREAMING_SNAKE_CASE	=				tokenizer.encode(__lowerCamelCase  ,				add_special_tokens=__lowerCamelCase   )
            _SCREAMING_SNAKE_CASE	=				tokenizer.decode(__lowerCamelCase  ,				spaces_between_special_tokens=self.space_between_special_tokens   )
            self.assertIn(__lowerCamelCase  ,				[output, output.lower()]   )



   def 							lowerCAmelCase_      (   self :     Union[str, Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.get_tokenizers()
      for tokenizer in tokenizers:
         with self.subTest(F"""{tokenizer.__class__.__name__}"""   ):
            _SCREAMING_SNAKE_CASE	=				[
                "bos_token",
                "eos_token",
                "unk_token",
                "sep_token",
                "pad_token",
                "cls_token",
                "mask_token",
            ]

      _SCREAMING_SNAKE_CASE	=				"a"
      _SCREAMING_SNAKE_CASE	=				ord(__lowerCamelCase   )

      for attr in attributes_list:
         setattr(__lowerCamelCase  ,				attr + "_id"  ,				__lowerCamelCase   )
         self.assertEqual(getattr(__lowerCamelCase  ,				__lowerCamelCase   )  ,				__lowerCamelCase   )
         self.assertEqual(getattr(__lowerCamelCase  ,				attr + "_id"   )  ,				__lowerCamelCase   )

         setattr(__lowerCamelCase  ,				attr + "_id"  ,				__lowerCamelCase   )
         self.assertEqual(getattr(__lowerCamelCase  ,				__lowerCamelCase   )  ,				__lowerCamelCase   )
         self.assertEqual(getattr(__lowerCamelCase  ,				attr + "_id"   )  ,				__lowerCamelCase   )

      setattr(__lowerCamelCase  ,				"additional_special_tokens_ids"  ,				[]   )
      self.assertListEqual(getattr(__lowerCamelCase  ,				"additional_special_tokens"   )  ,				[]   )
      self.assertListEqual(getattr(__lowerCamelCase  ,				"additional_special_tokens_ids"   )  ,				[]   )

      _SCREAMING_SNAKE_CASE	=				0xE0_06
      _SCREAMING_SNAKE_CASE	=				chr(__lowerCamelCase   )
      setattr(__lowerCamelCase  ,				"additional_special_tokens_ids"  ,				[additional_special_token_id]   )
      self.assertListEqual(getattr(__lowerCamelCase  ,				"additional_special_tokens"   )  ,				[additional_special_token]   )
      self.assertListEqual(getattr(__lowerCamelCase  ,				"additional_special_tokens_ids"   )  ,				[additional_special_token_id]   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     Union[str, Any]   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      pass



   def 							lowerCAmelCase_      (   self :     Optional[int]   ):

      """simple docstring"""
      pass







'''simple docstring'''



def 			SCREAMING_SNAKE_CASE_			(							__A    :			str	,					__A    :			str  )			->			str:
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				len(__A  )
   _SCREAMING_SNAKE_CASE	=				(
       first_str_length if first_str_length > second_str_length else second_str_length
   )
   _SCREAMING_SNAKE_CASE	=				[]
   for char_count in range(__A  ):
      if char_count < first_str_length:
         output_list.append(first_str[char_count]  )
      if char_count < second_str_length:
         output_list.append(second_str[char_count]  )
   return "".join(__A  )


if __name__ == "__main__":
 print(alternative_string_arrange('AB', 'XYZ'), end=' ')

