





'''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():
       _SCREAMING_SNAKE_CASE	 =							"pt"
elif is_tf_available():
       _SCREAMING_SNAKE_CASE	 =							"tf"
else:
       _SCREAMING_SNAKE_CASE	 =							"jax"

class    lowerCAmelCase_		(		__a						,unittest.TestCase		):
 __lowerCamelCase						:							Optional[Any]         =					ByTaTokenizer
 __lowerCamelCase						:							str         =					False




 def 							_snake_case   (	self		)    ->							List[str]:
     super().setUp()
     _lowerCAmelCase				=      ByTaTokenizer()
     tokenizer.save_pretrained(self.tmpdirname		)




 @cached_property
 def 							_snake_case   (	self		)    ->							List[Any]:
     return ByTaTokenizer.from_pretrained("google/byt5-small"		)




 def 							_snake_case   (	self			,     **_lowerCAmelCase		)    ->							int:
     return self.tokenizer_class.from_pretrained(self.tmpdirname			,     **a_		)




 def 							_snake_case   (	self			,     _lowerCAmelCase			,     _lowerCAmelCase=False			,     _lowerCAmelCase=20			,     _lowerCAmelCase=5		)    ->							Tuple:
     _lowerCAmelCase				=      []
     for i in range(len(a_		)		):
         try:
             _lowerCAmelCase				=      tokenizer.decode([i]			,     clean_up_tokenization_spaces=a_		)
         except UnicodeDecodeError:
             pass
         toks.append((i, tok)		)

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

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




 def 							_snake_case   (	self		)    ->							Any:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      tokenizer(["hi</s>", "I went to the gym</s>", "</s>"]		)
     _lowerCAmelCase				=      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		)    ->							Optional[int]:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      """Unicode €."""
     _lowerCAmelCase				=      tokenizer(a_		)
     _lowerCAmelCase				=      [88, 113, 108, 102, 114, 103, 104, 35, 229, 133, 175, 49, 1]
     self.assertEqual(encoded["input_ids"]			,     a_		)

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

     _lowerCAmelCase				=      tokenizer("e è é ê ë"		)
     _lowerCAmelCase				=      [104, 35, 198, 171, 35, 198, 172, 35, 198, 173, 35, 198, 174, 1]
     self.assertEqual(encoded["input_ids"]			,     a_		)
     # decoding
     _lowerCAmelCase				=      tokenizer.decode(a_		)
     self.assertEqual(a_			,     "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		)    ->							Tuple:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
     # fmt: off
     _lowerCAmelCase				=      [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
     _lowerCAmelCase				=      tokenizer(a_			,     padding=a_			,     return_tensors=a_		)
     self.assertIsInstance(a_			,     a_		)

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

     self.assertListEqual(a_			,     a_		)

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




 def 							_snake_case   (	self		)    ->							Optional[int]:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      ["""A long paragraph for summarization.""", """Another paragraph for summarization."""]
     _lowerCAmelCase				=      tokenizer(a_			,     padding=a_			,     return_tensors=a_		)
     # check if input_ids are returned and no decoder_input_ids
     self.assertIn("input_ids"			,     a_		)
     self.assertIn("attention_mask"			,     a_		)
     self.assertNotIn("decoder_input_ids"			,     a_		)
     self.assertNotIn("decoder_attention_mask"			,     a_		)




 def 							_snake_case   (	self		)    ->							List[Any]:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      [
         """Summary of the text.""",
         """Another summary.""",
     ]
     _lowerCAmelCase				=      tokenizer(
         text_target=a_			,     max_length=32			,     padding="max_length"			,     truncation=a_			,     return_tensors=a_		)
     self.assertEqual(32			,     targets["input_ids"].shape[1]		)




 def 							_snake_case   (	self		)    ->							int:
     _lowerCAmelCase				=      self.ta_base_tokenizer
     _lowerCAmelCase				=      ["""A long paragraph for summarization. </s>"""]
     _lowerCAmelCase				=      ["""Summary of the text. </s>"""]
     # fmt: off
     _lowerCAmelCase				=      [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]
     _lowerCAmelCase				=      [86, 120, 112, 112, 100, 117, 124, 35, 114, 105, 35, 119, 107, 104, 35, 119, 104, 123, 119, 49, 35, 1]
     # fmt: on

     _lowerCAmelCase				=      tokenizer(a_			,     text_target=a_		)

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




 def 							_snake_case   (	self		)    ->							Union[str, Any]:
     _lowerCAmelCase				=      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
     _lowerCAmelCase				=      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
             _lowerCAmelCase				=      tempfile.mkdtemp()

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

             _lowerCAmelCase				=      tokenizer.__class__.from_pretrained(a_		)
             _lowerCAmelCase				=      after_tokenizer.encode(a_			,     add_special_tokens=a_		)
             self.assertListEqual(a_			,     a_		)

             shutil.rmtree(a_		)

     _lowerCAmelCase				=      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
             _lowerCAmelCase				=      tempfile.mkdtemp()

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

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

             _lowerCAmelCase				=      tokenizer.__class__.from_pretrained(a_			,     model_max_length=43		)
             self.assertEqual(tokenizer.model_max_length			,     43		)

             shutil.rmtree(a_		)




 def 							_snake_case   (	self		)    ->							Optional[Any]:
     _lowerCAmelCase				=      []
     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(a_		)

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

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

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

             _lowerCAmelCase				=      added_tokens_extra_ids + [
                 """an_additional_special_token"""
             ]
             _lowerCAmelCase				=      added_tokens_extra_ids + [
                 """an_additional_special_token"""
             ]

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

             # 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
             _lowerCAmelCase				=      tokenizer_class.from_pretrained(
                 a_			,     )
             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
             _lowerCAmelCase				=      added_tokens_extra_ids + [AddedToken("a_new_additional_special_token"			,     lstrip=a_		)]
             _lowerCAmelCase				=      tokenizer_class.from_pretrained(
                 a_			,     additional_special_tokens=a_			,     )

             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		)    ->							List[Any]:
     _lowerCAmelCase				=      []
     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(a_		)

             _lowerCAmelCase				=      tokenizer_class.from_pretrained(a_		)

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




 def 							_snake_case   (	self		)    ->							Tuple:
     pass




 def 							_snake_case   (	self		)    ->							Optional[Any]:
     pass




 def 							_snake_case   (	self		)    ->							str:
     pass




 def 							_snake_case   (	self		)    ->							List[str]:
     pass




 def 							_snake_case   (	self		)    ->							int:
     _lowerCAmelCase				=      self.get_tokenizers(fast=a_			,     do_lower_case=a_		)
     for tokenizer in tokenizers:
         with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
             _lowerCAmelCase				=      ["""t""", """h""", """i""", """s""", """ """, """i""", """s""", """ """, """a""", """ """, """t""", """e""", """x""", """t""", """</s>"""]
             _lowerCAmelCase				=      tokenizer.convert_tokens_to_string(a_		)

             self.assertIsInstance(a_			,     a_		)





 def 							_snake_case   (	self		)    ->							int:
     _lowerCAmelCase				=      self.get_tokenizers()
     for tokenizer in tokenizers:
         with self.subTest(f'''{tokenizer.__class__.__name__}'''		):
             _lowerCAmelCase				=      [
                 """bos_token""",
                 """eos_token""",
                 """unk_token""",
                 """sep_token""",
                 """pad_token""",
                 """cls_token""",
                 """mask_token""",
             ]

             _lowerCAmelCase				=      0
             _lowerCAmelCase				=      tokenizer.convert_ids_to_tokens(
                 a_			,     skip_special_tokens=a_		)

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

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

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

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











'''simple docstring'''


def 	__a(SCREAMING_SNAKE_CASE_  :					int    ):



    '''simple docstring'''





    if not isinstance(SCREAMING_SNAKE_CASE_		,       SCREAMING_SNAKE_CASE_    ):
        raise TypeError("Input value must be an 'int' type"    )

    _lowerCAmelCase				=      0
    while number:
        position += 1
        number >>= 1

    return position


if __name__ == "__main__":
       import doctest

       doctest.testmod()


