"""simple docstring"""


import functools







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							len(A      )
     lowercase__				 =							len(A      )

     @functools.cache
     def min_distance(A    ,				A      ) -> int:
          # if first word index is overflow - delete all from the second word
          if indexa >= len_worda:
               return len_worda - indexa
          # if second word index is overflow - delete all from the first word
          if indexa >= len_worda:
               return len_worda - indexa
          lowercase__				 =							int(worda[indexa] != worda[indexa]      )  # current letters not identical
          return min(
              1 + min_distance(indexa + 1    ,				A      )    ,				1 + min_distance(A    ,				indexa + 1      )    ,				diff + min_distance(indexa + 1    ,				indexa + 1      )    ,				)

     return min_distance(0    ,				0      )


if __name__ == "__main__":
 import doctest

 doctest.testmod()





"""simple docstring"""


import json
import os
import re
import shutil
import tempfile
import unittest
from typing import Tuple

from transformers import AddedToken, BatchEncoding, ByTaTokenizer
from transformers.utils import cached_property, is_tf_available, is_torch_available

from ...test_tokenization_common import TokenizerTesterMixin


if is_torch_available():
 lowerCAmelCase_:					Dict     =					"pt"
elif is_tf_available():
 lowerCAmelCase_:					Dict     =					"tf"
else:
 lowerCAmelCase_:					str     =					"jax"






class    a__    (   _a					,					unittest.TestCase	):
   snake_case_							=      ByTaTokenizer
   snake_case_							=      False


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        super().setUp()
        lowercase__				 =							ByTaTokenizer()
        tokenizer.save_pretrained(self.tmpdirname  )


   @cached_property
   def 	snake_case__	(     self  ):
        '''simple docstring'''



        return ByTaTokenizer.from_pretrained("google/byt5-small"  )


   def 	snake_case__	(     self,				**_UpperCAmelCase  ):
        '''simple docstring'''



        return self.tokenizer_class.from_pretrained(self.tmpdirname,				**_UpperCAmelCase  )


   def 	snake_case__	(     self,				_UpperCAmelCase,				_UpperCAmelCase=False,				_UpperCAmelCase=20,				_UpperCAmelCase=5  ):
        '''simple docstring'''



        lowercase__				 =							[]
        for i in range(len(_UpperCAmelCase  )  ):
             try:
                  lowercase__				 =							tokenizer.decode([i],				clean_up_tokenization_spaces=_UpperCAmelCase  )
             except UnicodeDecodeError:
                  pass
             toks.append((i, tok)  )

        lowercase__				 =							list(filter(lambda _UpperCAmelCase  : re.match(R"^[ a-zA-Z]+$",				t[1]  ),				_UpperCAmelCase  )  )
        lowercase__				 =							list(filter(lambda _UpperCAmelCase  : [t[0]] == tokenizer.encode(t[1],				add_special_tokens=_UpperCAmelCase  ),				_UpperCAmelCase  )  )
        if max_length is not None and len(_UpperCAmelCase  ) > max_length:
             lowercase__				 =							toks[:max_length]
        if min_length is not None and len(_UpperCAmelCase  ) < min_length and len(_UpperCAmelCase  ) > 0:
             while len(_UpperCAmelCase  ) < min_length:
                  lowercase__				 =							toks + toks
        # toks_str = [t[1] for t in toks]
        lowercase__				 =							[t[0] for t in toks]

        # Ensure consistency
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase,				clean_up_tokenization_spaces=_UpperCAmelCase  )
        if " " not in output_txt and len(_UpperCAmelCase  ) > 1:
             lowercase__				 =							(
                 tokenizer.decode([toks_ids[0]],				clean_up_tokenization_spaces=_UpperCAmelCase  )
                 + " "
                 + tokenizer.decode(toks_ids[1:],				clean_up_tokenization_spaces=_UpperCAmelCase  )
             )
        if with_prefix_space:
             lowercase__				 =							" " + output_txt
        lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
        return output_txt, output_ids


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]  )
        lowercase__				 =							tokenizer(["hi", "I went to the gym", ""]  )
        self.assertListEqual(batch_with_eos_added["input_ids"],				batch_without_eos_added["input_ids"]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							"Unicode €."
        lowercase__				 =							tokenizer(_UpperCAmelCase  )
        lowercase__				 =							[88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
        self.assertEqual(encoded["input_ids"],				_UpperCAmelCase  )

        # decoding
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase  )
        self.assertEqual(_UpperCAmelCase,				"Unicode €.</s>"  )

        lowercase__				 =							tokenizer("e è é ê ë"  )
        lowercase__				 =							[104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
        self.assertEqual(encoded["input_ids"],				_UpperCAmelCase  )
        # decoding
        lowercase__				 =							tokenizer.decode(_UpperCAmelCase  )
        self.assertEqual(_UpperCAmelCase,				"e è é ê ë</s>"  )

        # encode/decode, but with `encode` instead of `__call__`
        self.assertEqual(tokenizer.decode(tokenizer.encode("e è é ê ë"  )  ),				"e è é ê ë</s>"  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization.", "Another paragraph for summarization."]
        # fmt: off
        lowercase__				 =							[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 1, 0]
        # fmt: on
        lowercase__				 =							tokenizer(_UpperCAmelCase,				padding=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )

        if FRAMEWORK != "jax":
             lowercase__				 =							list(batch.input_ids.numpy()[0]  )
        else:
             lowercase__				 =							list(batch.input_ids.tolist()[0]  )

        self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

        self.assertEqual((2, 37),				batch.input_ids.shape  )
        self.assertEqual((2, 37),				batch.attention_mask.shape  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization.", "Another paragraph for summarization."]
        lowercase__				 =							tokenizer(_UpperCAmelCase,				padding=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        # check if input_ids are returned and no decoder_input_ids
        self.assertIn("input_ids",				_UpperCAmelCase  )
        self.assertIn("attention_mask",				_UpperCAmelCase  )
        self.assertNotIn("decoder_input_ids",				_UpperCAmelCase  )
        self.assertNotIn("decoder_attention_mask",				_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							[
            "Summary of the text.",
            "Another summary.",
        ]
        lowercase__				 =							tokenizer(
            text_target=_UpperCAmelCase,				max_length=32,				padding="max_length",				truncation=_UpperCAmelCase,				return_tensors=_UpperCAmelCase  )
        self.assertEqual(32,				targets["input_ids"].shape[1]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.ta_base_tokenizer
        lowercase__				 =							["A long paragraph for summarization. </s>"]
        lowercase__				 =							["Summary of the text. </s>"]
        # fmt: off
        lowercase__				 =							[68, 35, 111, 114, 113, 106, 35, 115, 100, 117, 100, 106, 117, 100, 115, 107, 35, 105, 114, 117, 35, 118, 120, 112, 112, 100, 117, 108, 125, 100, 119, 108, 114, 113, 49, 35, 1]
        lowercase__				 =							[86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
        # fmt: on

        lowercase__				 =							tokenizer(_UpperCAmelCase,				text_target=_UpperCAmelCase  )

        self.assertEqual(_UpperCAmelCase,				batch["input_ids"][0]  )
        self.assertEqual(_UpperCAmelCase,				batch["labels"][0]  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizers()
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  self.assertNotEqual(tokenizer.model_max_length,				42  )

        # Now let's start the test
        lowercase__				 =							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
                  lowercase__				 =							tempfile.mkdtemp()

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

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase  )
                  lowercase__				 =							after_tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )

                  shutil.rmtree(_UpperCAmelCase  )

        lowercase__				 =							self.get_tokenizers(model_max_length=42  )
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  # Isolate this from the other tests because we save additional tokens/etc
                  lowercase__				 =							tempfile.mkdtemp()

                  lowercase__				 =							" He is very happy, UNwant\u00E9d,running"
                  tokenizer.add_tokens(["bim", "bambam"]  )
                  lowercase__				 =							tokenizer.additional_special_tokens
                  additional_special_tokens.append("new_additional_special_token"  )
                  tokenizer.add_special_tokens({"additional_special_tokens": additional_special_tokens}  )
                  lowercase__				 =							tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  tokenizer.save_pretrained(_UpperCAmelCase  )

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase  )
                  lowercase__				 =							after_tokenizer.encode(_UpperCAmelCase,				add_special_tokens=_UpperCAmelCase  )
                  self.assertListEqual(_UpperCAmelCase,				_UpperCAmelCase  )
                  self.assertIn("new_additional_special_token",				after_tokenizer.additional_special_tokens  )
                  self.assertEqual(after_tokenizer.model_max_length,				42  )

                  lowercase__				 =							tokenizer.__class__.from_pretrained(_UpperCAmelCase,				model_max_length=43  )
                  self.assertEqual(tokenizer.model_max_length,				43  )

                  shutil.rmtree(_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[]
        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(_UpperCAmelCase  )

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

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

                  lowercase__				 =							[F'''<extra_id_{i}>''' for i in range(125  )]

                  lowercase__				 =							added_tokens_extra_ids + [
                      "an_additional_special_token"
                  ]
                  lowercase__				 =							added_tokens_extra_ids + [
                      "an_additional_special_token"
                  ]

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

                  # 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
                  lowercase__				 =							tokenizer_class.from_pretrained(
                      _UpperCAmelCase,				)
                  self.assertIn(
                      "an_additional_special_token",				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(
                      ["an_additional_special_token"],				tokenizer_without_change_in_init.convert_ids_to_tokens(
                          tokenizer_without_change_in_init.convert_tokens_to_ids(["an_additional_special_token"]  )  ),				)

                  # Now we test that we can change the value of additional_special_tokens in the from_pretrained
                  lowercase__				 =							added_tokens_extra_ids + [AddedToken("a_new_additional_special_token",				lstrip=_UpperCAmelCase  )]
                  lowercase__				 =							tokenizer_class.from_pretrained(
                      _UpperCAmelCase,				additional_special_tokens=_UpperCAmelCase,				)

                  self.assertIn("a_new_additional_special_token",				tokenizer.additional_special_tokens  )
                  self.assertEqual(
                      ["a_new_additional_special_token"],				tokenizer.convert_ids_to_tokens(
                          tokenizer.convert_tokens_to_ids(["a_new_additional_special_token"]  )  ),				)


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							[]
        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(_UpperCAmelCase  )

                  lowercase__				 =							tokenizer_class.from_pretrained(_UpperCAmelCase  )

                  self.assertTrue(tokenizer.decode([255]  ) == ""  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        pass


   def 	snake_case__	(     self  ):
        '''simple docstring'''



        lowercase__				 =							self.get_tokenizers(fast=_UpperCAmelCase,				do_lower_case=_UpperCAmelCase  )
        for tokenizer in tokenizers:
             with self.subTest(F'''{tokenizer.__class__.__name__}'''  ):
                  lowercase__				 =							["t", "h", "i", "s", " ", "i", "s", " ", "a", " ", "t", "e", "x", "t", "</s>"]
                  lowercase__				 =							tokenizer.convert_tokens_to_string(_UpperCAmelCase  )

                  self.assertIsInstance(_UpperCAmelCase,				_UpperCAmelCase  )


   def 	snake_case__	(     self  ):
        '''simple docstring'''



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

                  lowercase__				 =							0
                  lowercase__				 =							tokenizer.convert_ids_to_tokens(
                      _UpperCAmelCase,				skip_special_tokens=_UpperCAmelCase  )

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

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

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

                  setattr(_UpperCAmelCase,				"additional_special_tokens_ids",				[token_id_to_test_setters]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens"  ),				[token_to_test_setters]  )
                  self.assertListEqual(getattr(_UpperCAmelCase,				"additional_special_tokens_ids"  ),				[token_id_to_test_setters]  )




