

"""simple docstring"""


import json
import os
from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import PreTrainedTokenizer
from ...utils import logging


a    :Tuple			=       logging.get_logger(__name__)


a    :Optional[Any]			=       {
    "vocab_file": "vocab.json",
    "tokenizer_config_file": "tokenizer_config.json",
    "merges_file": "merges.txt",
}

a    :str			=       {
    "vocab_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/vocab.json"
        ),
    },
    "tokenizer_config_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/tokenizer_config.json"
        ),
    },
    "merges_file": {
        "facebook/s2t-wav2vec2-large-en-de": (
            "https://huggingface.co/facebook/s2t-wav2vec2-large-en-de/resolve/main/merges.txt"
        ),
    },
}

a    :str			=       "</w>"
a    :Dict			=       "@@ "




def        _lowercase    (			__lowerCAmelCase							)				-> Optional[int]:
      SCREAMING_SNAKE_CASE__      :					List[Any]											=		set()
      SCREAMING_SNAKE_CASE__      :					Optional[int]											=		word[0]
      for char in word[1:]:
            pairs.add((prev_char, char)							)
            SCREAMING_SNAKE_CASE__      :					Optional[int]											=		char
      return pairs


# Speech2Text2 has no max input length
a    :Any			=       {"facebook/s2t-wav2vec2-large-en-de": 1_024}



class    __a							(lowerCAmelCase__):






     '''simple docstring'''
     _SCREAMING_SNAKE_CASE  :Optional[int]				=       VOCAB_FILES_NAMES
     _SCREAMING_SNAKE_CASE  :str				=       PRETRAINED_VOCAB_FILES_MAP
     _SCREAMING_SNAKE_CASE  :Any				=       PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     _SCREAMING_SNAKE_CASE  :Dict				=       ["""input_ids""", """attention_mask"""]

     def __init__(  self		,			_a		,			_a="<s>"		,			_a="<pad>"		,			_a="</s>"		,			_a="<unk>"		,			_a=False		,			_a=None		,			**_a		,			)     ->					Optional[Any]:


           """simple docstring"""


           super().__init__(
               unk_token=__a		,			bos_token=__a		,			eos_token=__a		,			pad_token=__a		,			do_lower_case=__a		,			**__a		,			)

           SCREAMING_SNAKE_CASE__      :					List[str]											=		do_lower_case

           with open(__a		,			encoding="""utf-8"""     ) as vocab_handle:
                 SCREAMING_SNAKE_CASE__      :					Any											=		json.load(__a     )
           SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		{v: k for k, v in self.encoder.items()}

           if merges_file is None:
                 logger.info(f'''No merges files provided. {self.__class__.__name__} can only be used for decoding.'''     )

                 SCREAMING_SNAKE_CASE__      :					List[str]											=		None
                 SCREAMING_SNAKE_CASE__      :					str											=		None
           else:
                 with open(__a		,			encoding="""utf-8"""     ) as merges_handle:
                       SCREAMING_SNAKE_CASE__      :					Any											=		merges_handle.read().split("""\n"""     )[:-1]

                 SCREAMING_SNAKE_CASE__      :					Any											=		[tuple(merge.split()[:2]     ) for merge in merges]
                 SCREAMING_SNAKE_CASE__      :					int											=		dict(zip(__a		,			range(len(__a     )     )     )     )
                 SCREAMING_SNAKE_CASE__      :					List[str]											=		{}

     @property
     def     _a	(  self     )     ->					Tuple:


           """simple docstring"""


           return len(self.decoder     )

     def     _a	(  self     )     ->					Any:


           """simple docstring"""


           return dict(self.encoder		,			**self.added_tokens_encoder     )

     def     _a	(  self		,			_a     )     ->					List[Any]:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__      :					str											=		tuple(token[:-1]     ) + (token[-1] + BPE_TOKEN_MERGES,)
           if token in self.cache:
                 return self.cache[token]
           SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		get_pairs(__a     )

           if not pairs:
                 return token

           while True:
                 SCREAMING_SNAKE_CASE__      :					int											=		min(__a		,			key=lambda _a     : self.bpe_ranks.get(__a		,			float("""inf"""     )     )     )
                 if bigram not in self.bpe_ranks:
                       break
                 SCREAMING_SNAKE_CASE__						,						SCREAMING_SNAKE_CASE__      :					List[str]											=		bigram
                 SCREAMING_SNAKE_CASE__      :					List[Any]											=		[]
                 SCREAMING_SNAKE_CASE__      :					Any											=		0
                 while i < len(__a     ):
                       try:
                             SCREAMING_SNAKE_CASE__      :					Optional[int]											=		word.index(__a		,			__a     )
                       except ValueError:
                             new_word.extend(word[i:]     )
                             break
                       else:
                             new_word.extend(word[i:j]     )
                             SCREAMING_SNAKE_CASE__      :					Dict											=		j

                       if word[i] == first and i < len(__a     ) - 1 and word[i + 1] == second:
                             new_word.append(first + second     )
                             i += 2
                       else:
                             new_word.append(word[i]     )
                             i += 1
                 SCREAMING_SNAKE_CASE__      :					Tuple											=		tuple(__a     )
                 SCREAMING_SNAKE_CASE__      :					Dict											=		new_word
                 if len(__a     ) == 1:
                       break
                 else:
                       SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		get_pairs(__a     )
           SCREAMING_SNAKE_CASE__      :					Any											=		""" """.join(__a     )
           if word == "\n  " + BPE_TOKEN_MERGES:
                 SCREAMING_SNAKE_CASE__      :					List[Any]											=		"""\n""" + BPE_TOKEN_MERGES

           if word.endswith(__a     ):
                 SCREAMING_SNAKE_CASE__      :					Optional[int]											=		word.replace(__a		,			""""""     )

           SCREAMING_SNAKE_CASE__      :					List[str]											=		word.replace(""" """		,			__a     )
           SCREAMING_SNAKE_CASE__      :					Tuple											=		word
           return word

     def     _a	(  self		,			_a     )     ->					Optional[Any]:


           """simple docstring"""


           if self.bpe_ranks is None:
                 raise ValueError(
                     """This tokenizer was instantiated without a `merges.txt` file, so"""
                     """ that it can only be used for decoding, not for encoding."""
                     """Make sure to provide `merges.txt` file at instantiation to enable """
                     """encoding."""     )

           if self.do_lower_case:
                 SCREAMING_SNAKE_CASE__      :					List[Any]											=		text.lower()

           SCREAMING_SNAKE_CASE__      :					Optional[int]											=		text.split()

           SCREAMING_SNAKE_CASE__      :					Optional[Any]											=		[]
           for token in text:
                 if token:
                       split_tokens.extend(list(self.bpe(__a     ).split(""" """     )     )     )

           return split_tokens

     def     _a	(  self		,			_a     )     ->					Any:


           """simple docstring"""


           return self.encoder.get(__a		,			self.encoder.get(self.unk_token     )     )

     def     _a	(  self		,			_a     )     ->					str:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__      :					Any											=		self.decoder.get(__a		,			self.unk_token     )
           return result

     def     _a	(  self		,			_a     )     ->					List[str]:


           """simple docstring"""


           SCREAMING_SNAKE_CASE__      :					str											=		""" """.join(__a     )

           # make sure @@ tokens are concatenated
           SCREAMING_SNAKE_CASE__      :					Any											=		"""""".join(string.split(__a     )     )

           return string





     def     _a	(  self		,			_a		,			_a = None     )     ->					str:


           """simple docstring"""


           if not os.path.isdir(__a     ):
                 logger.error(f'''Vocabulary path ({save_directory}) should be a directory'''     )
                 return
           SCREAMING_SNAKE_CASE__      :					int											=		os.path.join(
               __a		,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""vocab_file"""]     )
           SCREAMING_SNAKE_CASE__      :					Union[str, Any]											=		os.path.join(
               __a		,			(filename_prefix + """-""" if filename_prefix else """""") + VOCAB_FILES_NAMES["""merges_file"""]     )

           with open(__a		,			"""w"""		,			encoding="""utf-8"""     ) as f:
                 f.write(json.dumps(self.encoder		,			indent=2		,			sort_keys=__a		,			ensure_ascii=__a     ) + """\n"""     )

           SCREAMING_SNAKE_CASE__      :					List[str]											=		0
           if self.bpe_ranks is None:
                 return (vocab_file,)

           with open(__a		,			"""w"""		,			encoding="""utf-8"""     ) as writer:
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()		,			key=lambda _a     : kv[1]     ):
                       if index != token_index:
                             logger.warning(
                                 f'''Saving vocabulary to {merges_file}: BPE merge indices are not consecutive.'''
                                 """ Please check that the tokenizer is not corrupted!"""     )
                             SCREAMING_SNAKE_CASE__      :					str											=		token_index
                       writer.write(""" """.join(__a     ) + """\n"""     )
                       index += 1

           return (vocab_file, merges_file)








"""simple docstring"""


import copy
import json
import os
import tempfile

from transformers import is_torch_available

from .test_configuration_utils import config_common_kwargs
class   _UpperCamelCase  (   lowerCAmelCase__		):
							'''simple docstring'''







							def __init__(     self    ,   __a    ,   __a=None    ,   __a=True    ,   __a=None    ,   **__a	):
										__lowerCAmelCase				    =			parent
										__lowerCAmelCase				    =			config_class
										__lowerCAmelCase				    =			has_text_modality
										__lowerCAmelCase				    =			kwargs
										__lowerCAmelCase				    =			common_properties

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict	)
										__lowerCAmelCase				    =			(
										    ["hidden_size", "num_attention_heads", "num_hidden_layers"]
										    if self.common_properties is None
										    else self.common_properties
										)

										# Add common fields for text models
										if self.has_text_modality:
													common_properties.extend(["vocab_size"]	)

										# Test that config has the common properties as getters
										for prop in common_properties:
													self.parent.assertTrue(hasattr(__a    ,   __a	)    ,   msg=f"`{prop}` does not exist"	)

										# Test that config has the common properties as setter
										for idx, name in enumerate(__a	):
													try:
																setattr(__a    ,   __a    ,   __a	)
																self.parent.assertEqual(
																    getattr(__a    ,   __a	)    ,   __a    ,   msg=f"`{name} value {idx} expected, but was {getattr(__a    ,   __a	)}"	)
													except NotImplementedError:
																# Some models might not be able to implement setters for common_properties
																# In that case, a NotImplementedError is raised
																pass

        # Test if config class can be called with Config(prop_name=..)
										for idx, name in enumerate(__a	):
													try:
																__lowerCAmelCase				    =			self.config_class(**{name: idx}	)
																self.parent.assertEqual(
																    getattr(__a    ,   __a	)    ,   __a    ,   msg=f"`{name} value {idx} expected, but was {getattr(__a    ,   __a	)}"	)
													except NotImplementedError:
																# Some models might not be able to implement setters for common_properties
																# In that case, a NotImplementedError is raised
																pass

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict	)
										__lowerCAmelCase				    =			json.loads(config.to_json_string()	)
										for key, value in self.inputs_dict.items():
													self.parent.assertEqual(obj[key]    ,   __a	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict	)

										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCAmelCase				    =			os.path.join(__a    ,   "config.json"	)
													config_first.to_json_file(__a	)
													__lowerCAmelCase				    =			self.config_class.from_json_file(__a	)

										self.parent.assertEqual(config_second.to_dict()    ,   config_first.to_dict()	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict	)

										with tempfile.TemporaryDirectory() as tmpdirname:
													config_first.save_pretrained(__a	)
													__lowerCAmelCase				    =			self.config_class.from_pretrained(__a	)

										self.parent.assertEqual(config_second.to_dict()    ,   config_first.to_dict()	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict	)

										__lowerCAmelCase				    =			"test"
										with tempfile.TemporaryDirectory() as tmpdirname:
													__lowerCAmelCase				    =			os.path.join(__a    ,   __a	)
													config_first.save_pretrained(__a	)
													__lowerCAmelCase				    =			self.config_class.from_pretrained(__a    ,   subfolder=__a	)

										self.parent.assertEqual(config_second.to_dict()    ,   config_first.to_dict()	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			self.config_class(**self.inputs_dict    ,   num_labels=5	)
										self.parent.assertEqual(len(config.idalabel	)    ,   5	)
										self.parent.assertEqual(len(config.labelaid	)    ,   5	)

										__lowerCAmelCase				    =			3
										self.parent.assertEqual(len(config.idalabel	)    ,   3	)
										self.parent.assertEqual(len(config.labelaid	)    ,   3	)

							def 			snake_case				(     self	):
										if self.config_class.is_composition:
													return
										__lowerCAmelCase				    =			self.config_class()
										self.parent.assertIsNotNone(__a	)

							def 			snake_case				(     self	):
										__lowerCAmelCase				    =			copy.deepcopy(__a	)
										__lowerCAmelCase				    =			self.config_class(**__a	)
										__lowerCAmelCase				    =			[]
										for key, value in config_common_kwargs.items():
													if key == "torch_dtype":
																if not is_torch_available():
																			continue
																else:
																			import torch

																			if config.torch_dtype != torch.floataa:
																						wrong_values.append(("torch_dtype", config.torch_dtype, torch.floataa)	)
													elif getattr(__a    ,   __a	) != value:
																wrong_values.append((key, getattr(__a    ,   __a	), value)	)

										if len(__a	) > 0:
													__lowerCAmelCase				    =			"\n".join([f"- {v[0]}: got {v[1]} instead of {v[2]}" for v in wrong_values]	)
													raise ValueError(f"The following keys were not properly set in the config:\n{errors}"	)



							def 			snake_case				(     self	):
										self.create_and_test_config_common_properties()
										self.create_and_test_config_to_json_string()
										self.create_and_test_config_to_json_file()
										self.create_and_test_config_from_and_save_pretrained()
										self.create_and_test_config_from_and_save_pretrained_subfolder()
										self.create_and_test_config_with_num_labels()
										self.check_config_can_be_init_without_params()
										self.check_config_arguments_init()




