
'''simple docstring'''



import warnings

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


_lowercase          =						logging.get_logger(__name__)

_lowercase          =						{
    """RUCAIBox/mvp""": """https://huggingface.co/RUCAIBox/mvp/resolve/main/config.json""",
}




class     UpperCAmelCase_	(						_SCREAMING_SNAKE_CASE					):






						'''simple docstring'''






						_lowercase						: List[str]										=  '''mvp'''
						_lowercase						: Any										=  ['''past_key_values''']
						_lowercase						: Optional[Any]										=  {'''num_attention_heads''': '''encoder_attention_heads''', '''hidden_size''': '''d_model'''}




						def __init__(   self       ,  _lowercase=50_267       ,  _lowercase=1_024       ,  _lowercase=12       ,  _lowercase=4_096       ,  _lowercase=16       ,  _lowercase=12       ,  _lowercase=4_096       ,  _lowercase=16       ,  _lowercase=0.0       ,  _lowercase=0.0       ,  _lowercase="gelu"       ,  _lowercase=1_024       ,  _lowercase=0.1       ,  _lowercase=0.0       ,  _lowercase=0.0       ,  _lowercase=0.02       ,  _lowercase=0.0       ,  _lowercase=False       ,  _lowercase=True       ,  _lowercase=1       ,  _lowercase=0       ,  _lowercase=2       ,  _lowercase=True       ,  _lowercase=2       ,  _lowercase=2       ,  _lowercase=False       ,  _lowercase=100       ,  _lowercase=800       ,  **_lowercase       ,  ):

												"""simple docstring"""



												_lowerCAmelCase    		=					vocab_size
												_lowerCAmelCase    		=					max_position_embeddings
												_lowerCAmelCase    		=					d_model
												_lowerCAmelCase    		=					encoder_ffn_dim
												_lowerCAmelCase    		=					encoder_layers
												_lowerCAmelCase    		=					encoder_attention_heads
												_lowerCAmelCase    		=					decoder_ffn_dim
												_lowerCAmelCase    		=					decoder_layers
												_lowerCAmelCase    		=					decoder_attention_heads
												_lowerCAmelCase    		=					dropout
												_lowerCAmelCase    		=					attention_dropout
												_lowerCAmelCase    		=					activation_dropout
												_lowerCAmelCase    		=					activation_function
												_lowerCAmelCase    		=					init_std
												_lowerCAmelCase    		=					encoder_layerdrop
												_lowerCAmelCase    		=					decoder_layerdrop
												_lowerCAmelCase    		=					classifier_dropout
												_lowerCAmelCase    		=					use_cache
												_lowerCAmelCase    		=					encoder_layers
												_lowerCAmelCase    		=					scale_embedding  # scale factor will be sqrt(d_model) if True
												_lowerCAmelCase    		=					use_prompt
												_lowerCAmelCase    		=					prompt_length
												_lowerCAmelCase    		=					prompt_mid_dim

												super().__init__(
												    pad_token_id=_lowercase       ,  bos_token_id=_lowercase       ,  eos_token_id=_lowercase       ,  is_encoder_decoder=_lowercase       ,  decoder_start_token_id=_lowercase       ,  forced_eos_token_id=_lowercase       ,  **_lowercase       ,  )

												if self.forced_bos_token_id is None and kwargs.get("""force_bos_token_to_be_generated"""       ,  _lowercase ):
																		_lowerCAmelCase    		=					self.bos_token_id
																		warnings.warn(
																		    F'Please make sure the config includes `forced_bos_token_id={self.bos_token_id}` in future versions. '
																		    """The config can simply be saved and uploaded again to be fixed.""" )








# 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
__a   :							Tuple						= "\nHuman: <<task>>\n\nAssistant: "


__a   :							Union[str, Any]						= "huggingface-tools/default-prompts"
__a   :							Optional[int]						= {"chat": "chat_prompt_template.txt", "run": "run_prompt_template.txt"}



def       _SCREAMING_SNAKE_CASE    (			__lowercase :      Tuple      ,					__lowercase :      Optional[Any]      ,					__lowercase :      List[Any]="run"     )    ->   Optional[int]:





    """simple docstring"""

    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"""      ,					__lowercase     ) is not None:
        return prompt_or_repo_id

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




