





import functools
import operator

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


UpperCamelCase__           =			logging.get_logger(__name__)

UpperCamelCase__           =			{
    "asapp/sew-d-tiny-100k": "https://huggingface.co/asapp/sew-d-tiny-100k/resolve/main/config.json",
    # See all SEW-D models at https://huggingface.co/models?filter=sew-d
}

class 							__SCREAMING_SNAKE_CASE       (  _a							):
							snake_case  :   Union[str, Any]      =							"""sew-d"""






							def __init__(    self	,			__lowerCAmelCase=32	,			__lowerCAmelCase=768	,			__lowerCAmelCase=12	,			__lowerCAmelCase=12	,			__lowerCAmelCase=3072	,			__lowerCAmelCase=2	,			__lowerCAmelCase=512	,			__lowerCAmelCase=256	,			__lowerCAmelCase=True	,			__lowerCAmelCase=True	,			__lowerCAmelCase=("p2c", "c2p")	,			__lowerCAmelCase="layer_norm"	,			__lowerCAmelCase="gelu_python"	,			__lowerCAmelCase=0.1	,			__lowerCAmelCase=0.1	,			__lowerCAmelCase=0.1	,			__lowerCAmelCase=0.0	,			__lowerCAmelCase=0.1	,			__lowerCAmelCase=0.02	,			__lowerCAmelCase=1E-7	,			__lowerCAmelCase=1E-5	,			__lowerCAmelCase="group"	,			__lowerCAmelCase="gelu"	,			__lowerCAmelCase=(64, 128, 128, 128, 128, 256, 256, 256, 256, 512, 512, 512, 512)	,			__lowerCAmelCase=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)	,			__lowerCAmelCase=(10, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)	,			__lowerCAmelCase=False	,			__lowerCAmelCase=128	,			__lowerCAmelCase=16	,			__lowerCAmelCase=True	,			__lowerCAmelCase=0.05	,			__lowerCAmelCase=10	,			__lowerCAmelCase=2	,			__lowerCAmelCase=0.0	,			__lowerCAmelCase=10	,			__lowerCAmelCase=0	,			__lowerCAmelCase="mean"	,			__lowerCAmelCase=False	,			__lowerCAmelCase=False	,			__lowerCAmelCase=256	,			__lowerCAmelCase=0	,			__lowerCAmelCase=1	,			__lowerCAmelCase=2	,			**__lowerCAmelCase	,			):
														super().__init__(**__lowerCAmelCase	,			pad_token_id=__lowerCAmelCase	,			bos_token_id=__lowerCAmelCase	,			eos_token_id=__lowerCAmelCase	)
														UpperCamelCase__					  =      hidden_size
														UpperCamelCase__					  =      feat_extract_norm
														UpperCamelCase__					  =      feat_extract_activation
														UpperCamelCase__					  =      list(__lowerCAmelCase	)
														UpperCamelCase__					  =      list(__lowerCAmelCase	)
														UpperCamelCase__					  =      list(__lowerCAmelCase	)
														UpperCamelCase__					  =      conv_bias
														UpperCamelCase__					  =      num_conv_pos_embeddings
														UpperCamelCase__					  =      num_conv_pos_embedding_groups
														UpperCamelCase__					  =      len(self.conv_dim	)
														UpperCamelCase__					  =      num_hidden_layers
														UpperCamelCase__					  =      intermediate_size
														UpperCamelCase__					  =      squeeze_factor
														UpperCamelCase__					  =      max_position_embeddings
														UpperCamelCase__					  =      position_buckets
														UpperCamelCase__					  =      share_att_key
														UpperCamelCase__					  =      relative_attention
														UpperCamelCase__					  =      norm_rel_ebd
														UpperCamelCase__					  =      list(__lowerCAmelCase	)
														UpperCamelCase__					  =      hidden_act
														UpperCamelCase__					  =      num_attention_heads
														UpperCamelCase__					  =      hidden_dropout
														UpperCamelCase__					  =      attention_dropout
														UpperCamelCase__					  =      activation_dropout
														UpperCamelCase__					  =      feat_proj_dropout
														UpperCamelCase__					  =      final_dropout
														UpperCamelCase__					  =      layer_norm_eps
														UpperCamelCase__					  =      feature_layer_norm_eps
														UpperCamelCase__					  =      initializer_range
														UpperCamelCase__					  =      vocab_size

														if (
														    (len(self.conv_stride	) != self.num_feat_extract_layers)
														    or (len(self.conv_kernel	) != self.num_feat_extract_layers)
														    or (len(self.conv_dim	) != self.num_feat_extract_layers)
														):
																					raise ValueError(
																					    """Configuration for convolutional layers is incorrect."""
																					    """It is required that `len(config.conv_dim)` == `len(config.conv_stride)` == `len(config.conv_kernel)`,"""
																					    f"""but is `len(config.conv_dim) = {len(self.conv_dim	)}`, `len(config.conv_stride)"""
																					    f"""= {len(self.conv_stride	)}`, `len(config.conv_kernel) = {len(self.conv_kernel	)}`."""	)

														# fine-tuning config parameters for SpecAugment: https://arxiv.org/abs/1904.08779
														UpperCamelCase__					  =      apply_spec_augment
														UpperCamelCase__					  =      mask_time_prob
														UpperCamelCase__					  =      mask_time_length
														UpperCamelCase__					  =      mask_time_min_masks
														UpperCamelCase__					  =      mask_feature_prob
														UpperCamelCase__					  =      mask_feature_length
														UpperCamelCase__					  =      mask_feature_min_masks

														# ctc loss
														UpperCamelCase__					  =      ctc_loss_reduction
														UpperCamelCase__					  =      ctc_zero_infinity

														# sequence classification
														UpperCamelCase__					  =      use_weighted_layer_sum
														UpperCamelCase__					  =      classifier_proj_size







							@property
							def 					_lowerCamelCase		(    self	):
														return functools.reduce(operator.mul	,			self.conv_stride	,			1	)











# 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
UpperCamelCase__           =			"\nHuman: <<task>>\n\nAssistant: "


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





def      _UpperCamelCase  (a__ :List[Any] ,      a__ :Optional[Any] ,      a__ :List[str]="run"							):






							"""simple docstring"""





							if prompt_or_repo_id is None:
														UpperCamelCase__					  =      DEFAULT_PROMPTS_REPO

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

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




