

'''simple docstring'''

import json
import os
import unittest

from transformers.models.biogpt.tokenization_biogpt import VOCAB_FILES_NAMES, BioGptTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin


class 	lowerCAmelCase  (   A ,      unittest.TestCase ):
       lowerCAmelCase_												=			BioGptTokenizer
       lowerCAmelCase_												=			False







       def       snake_case (				self      :			str   ):







            """simple docstring"""







            super().setUp()

            # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
            __lowercase      		=[
                'l',
                'o',
                'w',
                'e',
                'r',
                's',
                't',
                'i',
                'd',
                'n',
                'w</w>',
                'r</w>',
                't</w>',
                'lo',
                'low',
                'er</w>',
                'low</w>',
                'lowest</w>',
                'newer</w>',
                'wider</w>',
                '<unk>',
            ]
            __lowercase      		=dict(zip(__lowercase    ,   range(len(__lowercase   )   )   )   )
            __lowercase      		=['l o 123', 'lo w 1456', 'e r</w> 1789', '']

            __lowercase      		=os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['vocab_file']   )
            __lowercase      		=os.path.join(self.tmpdirname    ,   VOCAB_FILES_NAMES['merges_file']   )
            with open(self.vocab_file    ,   'w'   ) as fp:
                 fp.write(json.dumps(__lowercase   )   )
            with open(self.merges_file    ,   'w'   ) as fp:
                 fp.write('\n'.join(__lowercase   )   )







       def       snake_case (				self      :			List[Any]    ,   __lowercase      :			int   ):







            """simple docstring"""







            __lowercase      		='lower newer'
            __lowercase      		='lower newer'
            return input_text, output_text







       def       snake_case (				self      :			str   ):







            """simple docstring"""







            __lowercase      		=BioGptTokenizer(self.vocab_file    ,   self.merges_file   )

            __lowercase      		='lower'
            __lowercase      		=['low', 'er</w>']
            __lowercase      		=tokenizer.tokenize(__lowercase   )
            self.assertListEqual(__lowercase    ,   __lowercase   )

            __lowercase      		=tokens + ['<unk>']
            __lowercase      		=[14, 15, 20]
            self.assertListEqual(tokenizer.convert_tokens_to_ids(__lowercase   )    ,   __lowercase   )







       @slow
       def       snake_case (				self      :			Any   ):







            """simple docstring"""







            __lowercase      		=BioGptTokenizer.from_pretrained('microsoft/biogpt'   )

            __lowercase      		=tokenizer.encode('sequence builders'    ,   add_special_tokens=__lowercase   )
            __lowercase      		=tokenizer.encode('multi-sequence build'    ,   add_special_tokens=__lowercase   )

            __lowercase      		=tokenizer.build_inputs_with_special_tokens(__lowercase   )
            __lowercase      		=tokenizer.build_inputs_with_special_tokens(__lowercase    ,   __lowercase   )

            self.assertTrue(encoded_sentence == [2] + text   )
            self.assertTrue(encoded_pair == [2] + text + [2] + text_a   )





'''simple docstring'''

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''': 2048,
}


class 	lowerCAmelCase  (   A ):
       lowerCAmelCase_												=			VOCAB_FILES_NAMES
       lowerCAmelCase_												=			PRETRAINED_VOCAB_FILES_MAP
       lowerCAmelCase_												=			PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
       lowerCAmelCase_												=			["input_ids", "attention_mask"]







       def __init__(				self      :			Tuple    ,   __lowercase      :			Union[str, Any]=None    ,   __lowercase      :			Union[str, Any]=None    ,   __lowercase      :			str=None    ,   __lowercase      :			Optional[int]="<|endoftext|>"    ,   __lowercase      :			List[Any]="<|endoftext|>"    ,   __lowercase      :			Tuple="<|endoftext|>"    ,   __lowercase      :			Optional[int]=False    ,   **__lowercase      :			List[Any]    ,   ):







            """simple docstring"""







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

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

            __lowercase      		=add_prefix_space







       def       snake_case (				self      :			Optional[Any]    ,   __lowercase      :			str    ,   __lowercase      :			Optional[str] = None   ):







            """simple docstring"""







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







       def       snake_case (				self      :			Optional[Any]    ,   __lowercase      :			"Conversation"   ):







            """simple docstring"""







            __lowercase      		=[]
            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:
                 __lowercase      		=input_ids[-self.model_max_length :]
            return input_ids


