



"""simple docstring"""







from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


A		=						logging.get_logger(__name__)

A		=						{
    'facebook/xmod-base': 'https://huggingface.co/facebook/xmod-base/resolve/main/config.json',
    'facebook/xmod-large-prenorm': 'https://huggingface.co/facebook/xmod-large-prenorm/resolve/main/config.json',
    'facebook/xmod-base-13-125k': 'https://huggingface.co/facebook/xmod-base-13-125k/resolve/main/config.json',
    'facebook/xmod-base-30-125k': 'https://huggingface.co/facebook/xmod-base-30-125k/resolve/main/config.json',
    'facebook/xmod-base-30-195k': 'https://huggingface.co/facebook/xmod-base-30-195k/resolve/main/config.json',
    'facebook/xmod-base-60-125k': 'https://huggingface.co/facebook/xmod-base-60-125k/resolve/main/config.json',
    'facebook/xmod-base-60-265k': 'https://huggingface.co/facebook/xmod-base-60-265k/resolve/main/config.json',
    'facebook/xmod-base-75-125k': 'https://huggingface.co/facebook/xmod-base-75-125k/resolve/main/config.json',
    'facebook/xmod-base-75-269k': 'https://huggingface.co/facebook/xmod-base-75-269k/resolve/main/config.json',
}

class       _a  ( SCREAMING_SNAKE_CASE__):
			__magic_name__     					=     """xmod"""



			def __init__(			self							:				List[Any]   ,	_lowercase							:				int=30522   ,	_lowercase							:				str=768   ,	_lowercase							:				int=12   ,	_lowercase							:				Any=12   ,	_lowercase							:				Optional[Any]=3072   ,	_lowercase							:				Tuple="gelu"   ,	_lowercase							:				int=0.1   ,	_lowercase							:				Tuple=0.1   ,	_lowercase							:				Tuple=512   ,	_lowercase							:				Dict=2   ,	_lowercase							:				Dict=0.02   ,	_lowercase							:				int=1E-12   ,	_lowercase							:				int=1   ,	_lowercase							:				List[str]=0   ,	_lowercase							:				Dict=2   ,	_lowercase							:				Any="absolute"   ,	_lowercase							:				int=True   ,	_lowercase							:				List[str]=None   ,	_lowercase							:				List[Any]=False   ,	_lowercase							:				Union[str, Any]=2   ,	_lowercase							:				Union[str, Any]=False   ,	_lowercase							:				str=True   ,	_lowercase							:				int=True   ,	_lowercase							:				str=("en_XX",)   ,	_lowercase							:				int=None   ,	**_lowercase							:				Optional[int]   ,	)							->					Optional[Any]:
									super().__init__(pad_token_id=_lowercase   ,	bos_token_id=_lowercase   ,	eos_token_id=_lowercase   ,	**_lowercase		)

									snake_case   :			str						    = vocab_size
									snake_case   :			Union[str, Any]						    = hidden_size
									snake_case   :			int						    = num_hidden_layers
									snake_case   :			Dict						    = num_attention_heads
									snake_case   :			Any						    = hidden_act
									snake_case   :			str						    = intermediate_size
									snake_case   :			Optional[Any]						    = hidden_dropout_prob
									snake_case   :			Tuple						    = attention_probs_dropout_prob
									snake_case   :			int						    = max_position_embeddings
									snake_case   :			Tuple						    = type_vocab_size
									snake_case   :			List[str]						    = initializer_range
									snake_case   :			str						    = layer_norm_eps
									snake_case   :			Optional[int]						    = position_embedding_type
									snake_case   :			Tuple						    = use_cache
									snake_case   :			Dict						    = classifier_dropout
									snake_case   :			Tuple						    = pre_norm
									snake_case   :			Optional[int]						    = adapter_reduction_factor
									snake_case   :			Optional[int]						    = adapter_layer_norm
									snake_case   :			Union[str, Any]						    = adapter_reuse_layer_norm
									snake_case   :			List[str]						    = ln_before_adapter
									snake_case   :			List[Any]						    = list(_lowercase		)
									snake_case   :			str						    = default_language



class       _a  ( SCREAMING_SNAKE_CASE__):



			@property
			def 				__lowercase					(			self							:				Optional[int]		)							->					Mapping[str, Mapping[int, str]]:
									if self.task == "multiple-choice":
															snake_case   :			Any						    = {0: "batch", 1: "choice", 2: "sequence"}
									else:
															snake_case   :			Dict						    = {0: "batch", 1: "sequence"}
									return OrderedDict(
									    [
									        ("input_ids", dynamic_axis),
									        ("attention_mask", dynamic_axis),
									    ]		)








"""simple docstring"""







# 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		=						'\nHuman: <<task>>\n\nAssistant: '


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

def  __SCREAMING_SNAKE_CASE		(			lowerCamelCase_:							Optional[int]     ,		lowerCamelCase_:							str     ,		lowerCamelCase_:							Tuple="run" ):
						"""simple docstring"""






						if prompt_or_repo_id is None:
												snake_case   :			Any						    = 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

						snake_case   :			Optional[int]						    = 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()



