





from typing import List, Optional

from tokenizers import ByteLevelBPETokenizer

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_blenderbot_small import BlenderbotSmallTokenizer


UpperCAmelCase_           =	logging.get_logger(__name__)

UpperCAmelCase_           =	{
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
    "tokenizer_config_file": "tokenizer_config.json",
}

UpperCAmelCase_           =	{
    "vocab_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/vocab.json"
    },
    "merges_file": {
        "facebook/blenderbot_small-90M": "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/merges.txt"
    },
    "tokenizer_config_file": {
        "facebook/blenderbot_small-90M": (
            "https://huggingface.co/facebook/blenderbot_small-90M/resolve/main/tokenizer_config.json"
        )
    },
}

UpperCAmelCase_           =	{
    "facebook/blenderbot_small-90M": 5_12,
}




class 			__UpperCamelCase    (							A__    ):
     __A	:  List[str]							  =   VOCAB_FILES_NAMES
     __A	:  Tuple							  =   PRETRAINED_VOCAB_FILES_MAP
     __A	:  Tuple							  =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A	:  Optional[int]							  =   BlenderbotSmallTokenizer





     def __init__(     self				,							_UpperCamelCase=None				,							_UpperCamelCase=None				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase="<|endoftext|>"				,							_UpperCamelCase=False				,							_UpperCamelCase=True				,							**_UpperCamelCase				,							):
        super().__init__(
            ByteLevelBPETokenizer(
                vocab=_UpperCamelCase				,							merges=_UpperCamelCase				,							add_prefix_space=_UpperCamelCase				,							trim_offsets=_UpperCamelCase				,							)				,							bos_token=_UpperCamelCase				,							eos_token=_UpperCamelCase				,							unk_token=_UpperCamelCase				,							**_UpperCamelCase				,							)
        _UpperCAmelCase           =   add_prefix_space





     def 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase=None					):
        _UpperCAmelCase           =   [self.bos_token_id] + token_ids_a + [self.eos_token_id]
        if token_ids_a is None:
           return output

        return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]





     def 		UpperCamelCase(     self				,							_UpperCamelCase				,							_UpperCamelCase = None					):
        _UpperCAmelCase           =   [self.sep_token_id]
        _UpperCAmelCase           =   [self.cls_token_id]

        if token_ids_a is None:
           return len(cls + token_ids_a + sep					) * [0]
        return len(cls + token_ids_a + sep + sep + token_ids_a + sep					) * [0]






"""simple docstring"""





import inspect
import os
import unittest

import torch

import accelerate
from accelerate import debug_launcher
from accelerate.test_utils import (
    execute_subprocess_async,
    require_cpu,
    require_huggingface_suite,
    require_multi_gpu,
    require_single_gpu,
)
from accelerate.utils import patch_environment
@require_huggingface_suite
class 		SCREAMING_SNAKE_CASE_				(     unittest.TestCase ):
				"""simple docstring"""




				def        __lowercase	(  self	:Dict      ):
											__lowerCamelCase   :   Union[str, Any]       =inspect.getfile(accelerate.test_utils      )
											__lowerCamelCase   :   Union[str, Any]       =os.path.sep.join(
											    mod_file.split(os.path.sep      )[:-1] + ['''scripts''', '''external_deps''', '''test_metrics.py''']      )

											from accelerate.test_utils.scripts.external_deps import test_metrics  # noqa: F401

											__lowerCamelCase   :   List[str]       =test_metrics




				@require_cpu
				def        __lowercase	(  self	:Optional[Any]      ):
											debug_launcher(self.test_metrics.main    ,     num_processes=1      )




				@require_cpu
				def        __lowercase	(  self	:int      ):
											debug_launcher(self.test_metrics.main      )




				@require_single_gpu
				def        __lowercase	(  self	:int      ):
											self.test_metrics.main()




				@require_multi_gpu
				def        __lowercase	(  self	:Dict      ):
											print(f'Found {torch.cuda.device_count()} devices.'      )
											__lowerCamelCase   :   Union[str, Any]       =['''torchrun''', f'--nproc_per_node={torch.cuda.device_count()}', self.test_file_path]
											with patch_environment(omp_num_threads=1      ):
																		execute_subprocess_async(__lowercase    ,     env=os.environ.copy()      )




