'''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():
  UpperCamelCase__     :	int				=			'pt'
elif is_tf_available():
  UpperCamelCase__     :	Optional[Any]				=			'tf'
else:
  UpperCamelCase__     :	Dict				=			'jax'


class 				_lowercase	(      lowerCAmelCase		,unittest.TestCase   ):
      '''simple docstring'''


      UpperCAmelCase_      :      Optional[int]      							=   ByTaTokenizer
      UpperCAmelCase_      :      Union[str, Any]      							=   False




      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         super().setUp()
         UpperCAmelCase__							:				Optional[int]   				=  ByTaTokenizer()
         tokenizer.save_pretrained(self.tmpdirname							)




      @cached_property
      def 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



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




      def 		lowerCAmelCase__					(				self					,**lowerCamelCase_							)			->			ByTaTokenizer:



         '''simple docstring'''



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




      def 		lowerCAmelCase__					(				self					,lowerCamelCase_					,lowerCamelCase_=False					,lowerCamelCase_=20					,lowerCamelCase_=5							)			->			Tuple[str, list]:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  []
         for i in range(len(lowerCamelCase_							)							):
            try:
               UpperCAmelCase__							:				Any   				=  tokenizer.decode([i]					,clean_up_tokenization_spaces=lowerCamelCase_							)
            except UnicodeDecodeError:
               pass
            toks.append((i, tok)							)

         UpperCAmelCase__							:				str   				=  list(filter(lambda lowerCamelCase_							: re.match(r'''^[ a-zA-Z]+$'''					,t[1]							)					,lowerCamelCase_							)							)
         UpperCAmelCase__							:				Tuple   				=  list(filter(lambda lowerCamelCase_							: [t[0]] == tokenizer.encode(t[1]					,add_special_tokens=lowerCamelCase_							)					,lowerCamelCase_							)							)
         if max_length is not None and len(lowerCamelCase_							) > max_length:
            UpperCAmelCase__							:				List[str]   				=  toks[:max_length]
         if min_length is not None and len(lowerCamelCase_							) < min_length and len(lowerCamelCase_							) > 0:
            while len(lowerCamelCase_							) < min_length:
               UpperCAmelCase__							:				Union[str, Any]   				=  toks + toks
        # toks_str = [t[1] for t in toks]
         UpperCAmelCase__							:				int   				=  [t[0] for t in toks]

         # Ensure consistency
         UpperCAmelCase__							:				Optional[Any]   				=  tokenizer.decode(lowerCamelCase_					,clean_up_tokenization_spaces=lowerCamelCase_							)
         if " " not in output_txt and len(lowerCamelCase_							) > 1:
            UpperCAmelCase__							:				Dict   				=  (
                tokenizer.decode([toks_ids[0]]					,clean_up_tokenization_spaces=lowerCamelCase_							)
                + ''' '''
                + tokenizer.decode(toks_ids[1:]					,clean_up_tokenization_spaces=lowerCamelCase_							)
            )
         if with_prefix_space:
            UpperCAmelCase__							:				Union[str, Any]   				=  ''' ''' + output_txt
         UpperCAmelCase__							:				Dict   				=  tokenizer.encode(lowerCamelCase_					,add_special_tokens=lowerCamelCase_							)
         return output_txt, output_ids




      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				str   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				Any   				=  tokenizer(['''hi</s>''', '''I went to the gym</s>''', '''</s>''']							)
         UpperCAmelCase__							:				List[Any]   				=  tokenizer(['''hi''', '''I went to the gym''', '''''']							)
         self.assertListEqual(batch_with_eos_added['''input_ids''']					,batch_without_eos_added['''input_ids''']							)




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				List[str]   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				Dict   				=  '''Unicode €.'''
         UpperCAmelCase__							:				Tuple   				=  tokenizer(lowerCamelCase_							)
         UpperCAmelCase__							:				int   				=  [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
         self.assertEqual(encoded['''input_ids''']					,lowerCamelCase_							)

         # decoding
         UpperCAmelCase__							:				Optional[Any]   				=  tokenizer.decode(lowerCamelCase_							)
         self.assertEqual(lowerCamelCase_					,'''Unicode €.</s>'''							)

         UpperCAmelCase__							:				Optional[Any]   				=  tokenizer('''e è é ê ë'''							)
         UpperCAmelCase__							:				Optional[int]   				=  [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
         self.assertEqual(encoded['''input_ids''']					,lowerCamelCase_							)
         # decoding
         UpperCAmelCase__							:				Tuple   				=  tokenizer.decode(lowerCamelCase_							)
         self.assertEqual(lowerCamelCase_					,'''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 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				str   				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
         # fmt: off
         UpperCAmelCase__							:				Dict   				=  [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
         UpperCAmelCase__							:				List[Any]   				=  tokenizer(lowerCamelCase_					,padding=lowerCamelCase_					,return_tensors=lowerCamelCase_							)
         self.assertIsInstance(lowerCamelCase_					,lowerCamelCase_							)

         if FRAMEWORK != "jax":
            UpperCAmelCase__							:				List[str]   				=  list(batch.input_ids.numpy()[0]							)
         else:
            UpperCAmelCase__							:				int   				=  list(batch.input_ids.tolist()[0]							)

         self.assertListEqual(lowerCamelCase_					,lowerCamelCase_							)

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




      def 		lowerCAmelCase__					(				self							)			->			Tuple:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				int   				=  ['''A long paragraph for summarization.''', '''Another paragraph for summarization.''']
         UpperCAmelCase__							:				Any   				=  tokenizer(lowerCamelCase_					,padding=lowerCamelCase_					,return_tensors=lowerCamelCase_							)
         # check if input_ids are returned and no decoder_input_ids
         self.assertIn('''input_ids'''					,lowerCamelCase_							)
         self.assertIn('''attention_mask'''					,lowerCamelCase_							)
         self.assertNotIn('''decoder_input_ids'''					,lowerCamelCase_							)
         self.assertNotIn('''decoder_attention_mask'''					,lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			str:



         '''simple docstring'''



         UpperCAmelCase__							:				Union[str, Any]   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				List[Any]   				=  [
             '''Summary of the text.''',
             '''Another summary.''',
         ]
         UpperCAmelCase__							:				Any   				=  tokenizer(
             text_target=lowerCamelCase_					,max_length=32					,padding='''max_length'''					,truncation=lowerCamelCase_					,return_tensors=lowerCamelCase_							)
         self.assertEqual(32					,targets['''input_ids'''].shape[1]							)




      def 		lowerCAmelCase__					(				self							)			->			Optional[int]:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[int]   				=  self.ta_base_tokenizer
         UpperCAmelCase__							:				Union[str, Any]   				=  ['''A long paragraph for summarization. </s>''']
         UpperCAmelCase__							:				Any   				=  ['''Summary of the text. </s>''']
         # fmt: off
         UpperCAmelCase__							:				Optional[Any]   				=  [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]
         UpperCAmelCase__							:				List[str]   				=  [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
         # fmt: on

         UpperCAmelCase__							:				Union[str, Any]   				=  tokenizer(lowerCamelCase_					,text_target=lowerCamelCase_							)

         self.assertEqual(lowerCamelCase_					,batch['''input_ids'''][0]							)
         self.assertEqual(lowerCamelCase_					,batch['''labels'''][0]							)




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  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
         UpperCAmelCase__							:				Any   				=  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
               UpperCAmelCase__							:				Union[str, Any]   				=  tempfile.mkdtemp()

               UpperCAmelCase__							:				List[Any]   				=  ''' He is very happy, UNwant\u00E9d,running'''
               UpperCAmelCase__							:				Any   				=  tokenizer.encode(lowerCamelCase_					,add_special_tokens=lowerCamelCase_							)
               tokenizer.save_pretrained(lowerCamelCase_							)

               UpperCAmelCase__							:				Any   				=  tokenizer.__class__.from_pretrained(lowerCamelCase_							)
               UpperCAmelCase__							:				Union[str, Any]   				=  after_tokenizer.encode(lowerCamelCase_					,add_special_tokens=lowerCamelCase_							)
               self.assertListEqual(lowerCamelCase_					,lowerCamelCase_							)

               shutil.rmtree(lowerCamelCase_							)

         UpperCAmelCase__							:				Optional[int]   				=  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
               UpperCAmelCase__							:				List[str]   				=  tempfile.mkdtemp()

               UpperCAmelCase__							:				int   				=  ''' He is very happy, UNwant\u00E9d,running'''
               tokenizer.add_tokens(['''bim''', '''bambam''']							)
               UpperCAmelCase__							:				Dict   				=  tokenizer.additional_special_tokens
               additional_special_tokens.append('''new_additional_special_token'''							)
               tokenizer.add_special_tokens({'''additional_special_tokens''': additional_special_tokens}							)
               UpperCAmelCase__							:				List[str]   				=  tokenizer.encode(lowerCamelCase_					,add_special_tokens=lowerCamelCase_							)
               tokenizer.save_pretrained(lowerCamelCase_							)

               UpperCAmelCase__							:				int   				=  tokenizer.__class__.from_pretrained(lowerCamelCase_							)
               UpperCAmelCase__							:				Optional[int]   				=  after_tokenizer.encode(lowerCamelCase_					,add_special_tokens=lowerCamelCase_							)
               self.assertListEqual(lowerCamelCase_					,lowerCamelCase_							)
               self.assertIn('''new_additional_special_token'''					,after_tokenizer.additional_special_tokens							)
               self.assertEqual(after_tokenizer.model_max_length					,42							)

               UpperCAmelCase__							:				Optional[Any]   				=  tokenizer.__class__.from_pretrained(lowerCamelCase_					,model_max_length=43							)
               self.assertEqual(tokenizer.model_max_length					,43							)

               shutil.rmtree(lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			int:



         '''simple docstring'''



         UpperCAmelCase__							:				Tuple   				=  []
         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:
                  UpperCAmelCase__							:				List[Any]   				=  json.load(lowerCamelCase_							)

               with open(os.path.join(lowerCamelCase_					,'''tokenizer_config.json'''							)					,encoding='''utf-8'''							) as json_file:
                  UpperCAmelCase__							:				Tuple   				=  json.load(lowerCamelCase_							)

               UpperCAmelCase__							:				Optional[int]   				=  [f'''<extra_id_{i}>''' for i in range(125							)]

               UpperCAmelCase__							:				Any   				=  added_tokens_extra_ids + [
                   '''an_additional_special_token'''
               ]
               UpperCAmelCase__							:				str   				=  added_tokens_extra_ids + [
                   '''an_additional_special_token'''
               ]

               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
               UpperCAmelCase__							:				str   				=  tokenizer_class.from_pretrained(
                   lowerCamelCase_					,)
               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
               UpperCAmelCase__							:				Optional[int]   				=  added_tokens_extra_ids + [AddedToken('''a_new_additional_special_token'''					,lstrip=lowerCamelCase_							)]
               UpperCAmelCase__							:				Any   				=  tokenizer_class.from_pretrained(
                   lowerCamelCase_					,additional_special_tokens=lowerCamelCase_					,)

               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 		lowerCAmelCase__					(				self							)			->			Any:



         '''simple docstring'''



         UpperCAmelCase__							:				Any   				=  []
         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_							)

               UpperCAmelCase__							:				int   				=  tokenizer_class.from_pretrained(lowerCamelCase_							)

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




      def 		lowerCAmelCase__					(				self							)			->			List[str]:



         '''simple docstring'''



         pass




      def 		lowerCAmelCase__					(				self							)			->			List[Any]:



         '''simple docstring'''



         pass




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         pass




      def 		lowerCAmelCase__					(				self							)			->			Union[str, Any]:



         '''simple docstring'''



         pass




      def 		lowerCAmelCase__					(				self							)			->			Dict:



         '''simple docstring'''



         UpperCAmelCase__							:				Optional[Any]   				=  self.get_tokenizers(fast=lowerCamelCase_					,do_lower_case=lowerCamelCase_							)
         for tokenizer in tokenizers:
            with self.subTest(f'''{tokenizer.__class__.__name__}'''							):
               UpperCAmelCase__							:				List[Any]   				=  ['''t''', '''h''', '''i''', '''s''', ''' ''', '''i''', '''s''', ''' ''', '''a''', ''' ''', '''t''', '''e''', '''x''', '''t''', '''</s>''']
               UpperCAmelCase__							:				List[Any]   				=  tokenizer.convert_tokens_to_string(lowerCamelCase_							)

               self.assertIsInstance(lowerCamelCase_					,lowerCamelCase_							)




      def 		lowerCAmelCase__					(				self							)			->			int:



         '''simple docstring'''



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

               UpperCAmelCase__							:				Optional[int]   				=  0
               UpperCAmelCase__							:				List[str]   				=  tokenizer.convert_ids_to_tokens(
                   lowerCamelCase_					,skip_special_tokens=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'''							)					,[]							)

               setattr(lowerCamelCase_					,'''additional_special_tokens_ids'''					,[token_id_to_test_setters]							)
               self.assertListEqual(getattr(lowerCamelCase_					,'''additional_special_tokens'''							)					,[token_to_test_setters]							)
               self.assertListEqual(getattr(lowerCamelCase_					,'''additional_special_tokens_ids'''							)					,[token_id_to_test_setters]							)





'''simple docstring'''

from typing import TYPE_CHECKING

from ...utils import _LazyModule


UpperCamelCase__     :	Union[str, Any]				=			{'tokenization_byt5': ['ByT5Tokenizer']}


if TYPE_CHECKING:
  from .tokenization_byta import ByTaTokenizer
else:
  import sys

  UpperCamelCase__     :	List[str]				=			_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)




