


import json
from typing import TYPE_CHECKING, List, Optional, Tuple

from tokenizers import pre_tokenizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging


if TYPE_CHECKING:
						from transformers.pipelines.conversational import Conversation


__UpperCamelCase    		=       logging.get_logger(__name__)

__UpperCamelCase    		=       {'vocab_file': 'vocab.json', 'merges_file': 'merges.txt', 'tokenizer_file': 'tokenizer.json'}

__UpperCamelCase    		=       {
    'tokenizer_file': {
        'EleutherAI/gpt-neox-20b': 'https://huggingface.co/EleutherAI/gpt-neox-20b/resolve/main/tokenizer.json',
    },
}

__UpperCamelCase    		=       {
    'gpt-neox-20b': 2_0_4_8,
}







class        lowerCamelCase__	(							a__      ):






			"""simple docstring"""






			_UpperCamelCase		:					Optional[int]    =		VOCAB_FILES_NAMES
			_UpperCamelCase		:					str    =		PRETRAINED_VOCAB_FILES_MAP
			_UpperCamelCase		:					Dict    =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
			_UpperCamelCase		:					Optional[int]    =		["""input_ids""", """attention_mask"""]




			def __init__(							self      ,						snake_case=None      ,						snake_case=None      ,						snake_case=None      ,						snake_case="<|endoftext|>"      ,						snake_case="<|endoftext|>"      ,						snake_case="<|endoftext|>"      ,						snake_case=False      ,						**snake_case      ,						):

						'''simple docstring'''


						super().__init__(
						    lowercase__      ,						lowercase__      ,						tokenizer_file=lowercase__      ,						unk_token=lowercase__      ,						bos_token=lowercase__      ,						eos_token=lowercase__      ,						add_prefix_space=lowercase__      ,						**lowercase__      ,						)

						UpperCamelCase__					=       json.loads(self.backend_tokenizer.pre_tokenizer.__getstate__()     )
						if pre_tok_state.get("add_prefix_space"      ,						lowercase__     ) != add_prefix_space:
									UpperCamelCase__					=       getattr(lowercase__      ,						pre_tok_state.pop("type"     )     )
									UpperCamelCase__					=       add_prefix_space
									UpperCamelCase__					=       pre_tok_class(**lowercase__     )

						UpperCamelCase__					=       add_prefix_space




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case = None     ):

						'''simple docstring'''


						UpperCamelCase__					=       self._tokenizer.model.save(lowercase__      ,						name=lowercase__     )
						return tuple(lowercase__     )







			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       []
						for is_user, text in conversation.iter_texts():
									input_ids.extend(self.encode(lowercase__      ,						add_special_tokens=lowercase__     ) + [self.eos_token_id]     )

						if len(lowercase__     ) > self.model_max_length:
									UpperCamelCase__					=       input_ids[-self.model_max_length :]
						return input_ids






import os
import tempfile
import unittest

from transformers.models.marian.convert_marian_tatoeba_to_pytorch import DEFAULT_REPO, TatoebaConverter
from transformers.testing_utils import slow
from transformers.utils import cached_property







@unittest.skipUnless(os.path.exists(UpperCAmelCase      )					,	'Tatoeba directory does not exist.'      )
class        lowerCamelCase__	(							unittest.TestCase      ):






			"""simple docstring"""






			@cached_property
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       tempfile.mkdtemp()
						return TatoebaConverter(save_dir=snake_case     )




			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						self.resolver.convert_models(["heb-eng"]     )







			@slow
			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__,      UpperCamelCase__					=       self.resolver.write_model_card("opus-mt-he-en"      ,						dry_run=snake_case     )
						assert mmeta["long_pair"] == "heb-eng"


