


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


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

snake_case							: Union[str, Any]      =   {
    '''google/fnet-base''': '''https://huggingface.co/google/fnet-base/resolve/main/config.json''',
    '''google/fnet-large''': '''https://huggingface.co/google/fnet-large/resolve/main/config.json'''
    # See all FNet models at https://huggingface.co/models?filter=fnet
}







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					Dict					   =    '''fnet'''
					def __init__(   self     :str    ,__snake_case     :List[str]=3_20_00    ,__snake_case     :Union[str, Any]=7_68    ,__snake_case     :List[Any]=12    ,__snake_case     :Tuple=30_72    ,__snake_case     :List[Any]="gelu_new"    ,__snake_case     :int=0.1    ,__snake_case     :int=5_12    ,__snake_case     :Dict=4    ,__snake_case     :Dict=0.02    ,__snake_case     :Tuple=1E-12    ,__snake_case     :List[str]=False    ,__snake_case     :Any=5_12    ,__snake_case     :List[Any]=3    ,__snake_case     :Dict=1    ,__snake_case     :Optional[int]=2    ,**__snake_case     :Optional[Any]    ,)      ->					List[Any]:
												super().__init__(pad_token_id=__snake_case    ,bos_token_id=__snake_case    ,eos_token_id=__snake_case    ,**__snake_case   )

												a__    =  vocab_size
												a__    =  max_position_embeddings
												a__    =  hidden_size
												a__    =  num_hidden_layers
												a__    =  intermediate_size
												a__    =  hidden_act
												a__    =  hidden_dropout_prob
												a__    =  initializer_range
												a__    =  type_vocab_size
												a__    =  layer_norm_eps
												a__    =  use_tpu_fourier_optimizations
												a__    =  tpu_short_seq_length








# 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()




