
# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
import re

from ..utils import cached_file


# docstyle-ignore
lowercase        =  '''
Human: <<task>>

Assistant: '''


lowercase        =  '''huggingface-tools/default-prompts'''
lowercase        =  {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}



def      __lowerCAmelCase						(							UpperCAmelCase__				:      Optional[int]			,				UpperCAmelCase__				:      Optional[Any]			,				UpperCAmelCase__				:      List[str]="run"       )  ->    List[Any]:
							if prompt_or_repo_id is None:
														lowerCamelCase_							  =					DEFAULT_PROMPTS_REPO

							# prompt is considered a repo ID when it does not contain any kind of space
							if re.search("""\\s"""			,				UpperCAmelCase__       ) is not None:
														return prompt_or_repo_id

							lowerCamelCase_							  =					cached_file(
							    UpperCAmelCase__			,				PROMPT_FILES[mode]			,				repo_type="""dataset"""			,				user_agent={"""agent""": agent_name}       )
							with open(UpperCAmelCase__			,				"""r"""			,				encoding="""utf-8"""       ) as f:
														return f.read()







import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mobilebert import MobileBertTokenizer


lowercase        =  logging.get_logger(__name__)

lowercase        =  {'''vocab_file''': '''vocab.txt''', '''tokenizer_file''': '''tokenizer.json'''}

lowercase        =  {
    '''vocab_file''': {'''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/vocab.txt'''},
    '''tokenizer_file''': {
        '''mobilebert-uncased''': '''https://huggingface.co/google/mobilebert-uncased/resolve/main/tokenizer.json'''
    },
}

lowercase        =  {'''mobilebert-uncased''': 5_1_2}


lowercase        =  {}





class       __A(				UpperCAmelCase       ):
					SCREAMING_SNAKE_CASE			    =    VOCAB_FILES_NAMES
					SCREAMING_SNAKE_CASE			    =    PRETRAINED_VOCAB_FILES_MAP
					SCREAMING_SNAKE_CASE			    =    PRETRAINED_INIT_CONFIGURATION
					SCREAMING_SNAKE_CASE			    =    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
					SCREAMING_SNAKE_CASE			    =    MobileBertTokenizer

					def __init__(	self					:     Union[str, Any]   ,					__UpperCamelCase					:     str=None   ,					__UpperCamelCase					:     str=None   ,					__UpperCamelCase					:     Dict=True   ,					__UpperCamelCase					:     Any="[UNK]"   ,					__UpperCamelCase					:     str="[SEP]"   ,					__UpperCamelCase					:     Dict="[PAD]"   ,					__UpperCamelCase					:     List[str]="[CLS]"   ,					__UpperCamelCase					:     Any="[MASK]"   ,					__UpperCamelCase					:     Any=True   ,					__UpperCamelCase					:     int=None   ,					**__UpperCamelCase					:     Dict   ,					):
												super().__init__(
												    __UpperCamelCase   ,					tokenizer_file=__UpperCamelCase   ,					do_lower_case=__UpperCamelCase   ,					unk_token=__UpperCamelCase   ,					sep_token=__UpperCamelCase   ,					pad_token=__UpperCamelCase   ,					cls_token=__UpperCamelCase   ,					mask_token=__UpperCamelCase   ,					tokenize_chinese_chars=__UpperCamelCase   ,					strip_accents=__UpperCamelCase   ,					**__UpperCamelCase   ,					)

												lowerCamelCase_							  =					json.loads(self.backend_tokenizer.normalizer.__getstate__()   )
												if (
												    normalizer_state.get("""lowercase"""   ,					__UpperCamelCase   ) != do_lower_case
												    or normalizer_state.get("""strip_accents"""   ,					__UpperCamelCase   ) != strip_accents
												    or normalizer_state.get("""handle_chinese_chars"""   ,					__UpperCamelCase   ) != tokenize_chinese_chars
												):
																			lowerCamelCase_							  =					getattr(__UpperCamelCase   ,					normalizer_state.pop("""type"""   )   )
																			lowerCamelCase_							  =					do_lower_case
																			lowerCamelCase_							  =					strip_accents
																			lowerCamelCase_							  =					tokenize_chinese_chars
																			lowerCamelCase_							  =					normalizer_class(**__UpperCamelCase   )

												lowerCamelCase_							  =					do_lower_case

					def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     Union[str, Any]   ,					__UpperCamelCase					:     Dict=None   ):
												lowerCamelCase_							  =					[self.cls_token_id] + token_ids_a + [self.sep_token_id]

												if token_ids_a:
																			output += token_ids_a + [self.sep_token_id]

												return output

					def    lowercase__      (	self					:     Tuple   ,					__UpperCamelCase					:     List[int]   ,					__UpperCamelCase					:     Optional[List[int]] = None   ):
												lowerCamelCase_							  =					[self.sep_token_id]
												lowerCamelCase_							  =					[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   ) * [0] + len(token_ids_a + sep   ) * [1]



					def    lowercase__      (	self					:     List[str]   ,					__UpperCamelCase					:     str   ,					__UpperCamelCase					:     Optional[str] = None   ):
												lowerCamelCase_							  =					self._tokenizer.model.save(__UpperCamelCase   ,					name=__UpperCamelCase   )
												return tuple(__UpperCamelCase   )





