


from ...configuration_utils import PretrainedConfig
from ...utils import logging


snake_case							: List[str]      =   logging.get_logger(__name__)

snake_case							: int      =   {
    '''alibaba-damo/mgp-str-base''': '''https://huggingface.co/alibaba-damo/mgp-str-base/resolve/main/config.json''',
}







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					Any					   =    '''mgp-str'''
					def __init__(   self     :List[Any]    ,__snake_case     :str=[32, 1_28]    ,__snake_case     :int=4    ,__snake_case     :Any=3    ,__snake_case     :int=27    ,__snake_case     :str=38    ,__snake_case     :List[Any]=5_02_57    ,__snake_case     :str=3_05_22    ,__snake_case     :List[str]=7_68    ,__snake_case     :Dict=12    ,__snake_case     :Any=12    ,__snake_case     :List[Any]=4.0    ,__snake_case     :Optional[Any]=True    ,__snake_case     :Optional[Any]=False    ,__snake_case     :List[str]=1E-5    ,__snake_case     :Optional[Any]=0.0    ,__snake_case     :List[str]=0.0    ,__snake_case     :int=0.0    ,__snake_case     :List[str]=False    ,__snake_case     :int=0.02    ,**__snake_case     :List[Any]    ,)      ->					Any:
												super().__init__(**__snake_case   )

												a__    =  image_size
												a__    =  patch_size
												a__    =  num_channels
												a__    =  max_token_length
												a__    =  num_character_labels
												a__    =  num_bpe_labels
												a__    =  num_wordpiece_labels
												a__    =  hidden_size
												a__    =  num_hidden_layers
												a__    =  num_attention_heads
												a__    =  mlp_ratio
												a__    =  distilled
												a__    =  layer_norm_eps
												a__    =  drop_rate
												a__    =  qkv_bias
												a__    =  attn_drop_rate
												a__    =  drop_path_rate
												a__    =  output_aa_attentions
												a__    =  initializer_range








# 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
snake_case							: Dict      =   '''
Human: <<task>>

Assistant: '''


snake_case							: Optional[int]      =   '''huggingface-tools/default-prompts'''
snake_case							: Tuple      =   {'''chat''': '''chat_prompt_template.txt''', '''run''': '''run_prompt_template.txt'''}






def 							__lowercase     (				__lowerCAmelCase							:       Any      ,					__lowerCAmelCase							:       Union[str, Any]      ,					__lowerCAmelCase							:       Any="run"     ):
							if prompt_or_repo_id is None:
														a__    =  DEFAULT_PROMPTS_REPO

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

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




