'''simple docstring'''

from typing import List

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


UpperCamelCase__  :						Dict					=      logging.get_logger(__name__)

UpperCamelCase__  :						str					=      {
    "snap-research/efficientformer-l1-300": (
        "https://huggingface.co/snap-research/efficientformer-l1-300/resolve/main/config.json"
    ),
}


class 					_lowercase						(   lowercase_ ):
      '''simple docstring'''


      UpperCAmelCase_   :   Optional[int]   				= '''efficientformer'''




      def __init__(					self       ,lowerCamelCase_ = [3, 2, 6, 4]       ,lowerCamelCase_ = [48, 96, 224, 448]       ,lowerCamelCase_ = [True, True, True, True]       ,lowerCamelCase_ = 448       ,lowerCamelCase_ = 32       ,lowerCamelCase_ = 4       ,lowerCamelCase_ = 7       ,lowerCamelCase_ = 5       ,lowerCamelCase_ = 8       ,lowerCamelCase_ = 4       ,lowerCamelCase_ = 0.0       ,lowerCamelCase_ = 16       ,lowerCamelCase_ = 3       ,lowerCamelCase_ = 3       ,lowerCamelCase_ = 3       ,lowerCamelCase_ = 2       ,lowerCamelCase_ = 1       ,lowerCamelCase_ = 0.0       ,lowerCamelCase_ = 1       ,lowerCamelCase_ = True       ,lowerCamelCase_ = True       ,lowerCamelCase_ = 1e-5       ,lowerCamelCase_ = "gelu"       ,lowerCamelCase_ = 0.02       ,lowerCamelCase_ = 1e-12       ,lowerCamelCase_ = 224       ,lowerCamelCase_ = 1e-05       ,**lowerCamelCase_       ,)      ->      Any:



         '''simple docstring'''



         super().__init__(**UpperCamelCase_				)

         UpperCAmelCase__				:					List[str] 					=	hidden_act
         UpperCAmelCase__				:					Optional[int] 					=	hidden_dropout_prob
         UpperCAmelCase__				:					Union[str, Any] 					=	hidden_sizes
         UpperCAmelCase__				:					Tuple 					=	num_hidden_layers
         UpperCAmelCase__				:					Dict 					=	num_attention_heads
         UpperCAmelCase__				:					Dict 					=	initializer_range
         UpperCAmelCase__				:					Tuple 					=	layer_norm_eps
         UpperCAmelCase__				:					List[Any] 					=	patch_size
         UpperCAmelCase__				:					Any 					=	num_channels
         UpperCAmelCase__				:					Optional[int] 					=	depths
         UpperCAmelCase__				:					Any 					=	mlp_expansion_ratio
         UpperCAmelCase__				:					Optional[Any] 					=	downsamples
         UpperCAmelCase__				:					Any 					=	dim
         UpperCAmelCase__				:					int 					=	key_dim
         UpperCAmelCase__				:					Optional[int] 					=	attention_ratio
         UpperCAmelCase__				:					List[Any] 					=	resolution
         UpperCAmelCase__				:					Optional[int] 					=	pool_size
         UpperCAmelCase__				:					Union[str, Any] 					=	downsample_patch_size
         UpperCAmelCase__				:					Tuple 					=	downsample_stride
         UpperCAmelCase__				:					int 					=	downsample_pad
         UpperCAmelCase__				:					Tuple 					=	drop_path_rate
         UpperCAmelCase__				:					Optional[Any] 					=	num_metaad_blocks
         UpperCAmelCase__				:					List[str] 					=	distillation
         UpperCAmelCase__				:					Tuple 					=	use_layer_scale
         UpperCAmelCase__				:					Optional[int] 					=	layer_scale_init_value
         UpperCAmelCase__				:					List[str] 					=	image_size
         UpperCAmelCase__				:					Dict 					=	batch_norm_eps












# 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()




