



"""simple docstring"""
import functools
import operator

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


UpperCAmelCase    :		str      =			logging.get_logger(__name__)

UpperCAmelCase    :		List[Any]      =			{
    'asapp/sew-tiny-100k': 'https://huggingface.co/asapp/sew-tiny-100k/resolve/main/config.json',
    # See all SEW models at https://huggingface.co/models?filter=sew
}


class  SCREAMING_SNAKE_CASE__			(				__snake_case ):
    lowercase__  			= "sew"

    def __init__(					self      :					str			,	lowerCAmelCase_      :					int=3_2			,	lowerCAmelCase_      :					str=7_6_8			,	lowerCAmelCase_      :					int=1_2			,	lowerCAmelCase_      :					int=1_2			,	lowerCAmelCase_      :					Optional[Any]=3_0_7_2			,	lowerCAmelCase_      :					Optional[Any]=2			,	lowerCAmelCase_      :					Optional[int]="gelu"			,	lowerCAmelCase_      :					List[str]=0.1			,	lowerCAmelCase_      :					List[Any]=0.1			,	lowerCAmelCase_      :					Optional[Any]=0.1			,	lowerCAmelCase_      :					Dict=0.0			,	lowerCAmelCase_      :					Optional[int]=0.1			,	lowerCAmelCase_      :					Dict=0.1			,	lowerCAmelCase_      :					List[Any]=0.02			,	lowerCAmelCase_      :					Dict=1E-5			,	lowerCAmelCase_      :					List[Any]="group"			,	lowerCAmelCase_      :					Dict="gelu"			,	lowerCAmelCase_      :					Optional[Any]=(6_4, 1_2_8, 1_2_8, 1_2_8, 1_2_8, 2_5_6, 2_5_6, 2_5_6, 2_5_6, 5_1_2, 5_1_2, 5_1_2, 5_1_2)			,	lowerCAmelCase_      :					Dict=(5, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1, 2, 1)			,	lowerCAmelCase_      :					List[Any]=(1_0, 3, 1, 3, 1, 3, 1, 3, 1, 2, 1, 2, 1)			,	lowerCAmelCase_      :					Any=False			,	lowerCAmelCase_      :					Optional[Any]=1_2_8			,	lowerCAmelCase_      :					Union[str, Any]=1_6			,	lowerCAmelCase_      :					int=True			,	lowerCAmelCase_      :					Any=0.05			,	lowerCAmelCase_      :					Tuple=1_0			,	lowerCAmelCase_      :					str=2			,	lowerCAmelCase_      :					List[str]=0.0			,	lowerCAmelCase_      :					str=1_0			,	lowerCAmelCase_      :					Optional[Any]=0			,	lowerCAmelCase_      :					Union[str, Any]="mean"			,	lowerCAmelCase_      :					Optional[Any]=False			,	lowerCAmelCase_      :					Optional[Any]=False			,	lowerCAmelCase_      :					Dict=2_5_6			,	lowerCAmelCase_      :					Tuple=0			,	lowerCAmelCase_      :					Any=1			,	lowerCAmelCase_      :					List[str]=2			,	**lowerCAmelCase_      :					Any			,	):







      """simple docstring"""







      super().__init__(**lowerCAmelCase_			,	pad_token_id=lowerCAmelCase_			,	bos_token_id=lowerCAmelCase_			,	eos_token_id=lowerCAmelCase_)
      lowercase_             =			hidden_size
      lowercase_             =			feat_extract_norm
      lowercase_             =			feat_extract_activation
      lowercase_             =			list(lowerCAmelCase_)
      lowercase_             =			list(lowerCAmelCase_)
      lowercase_             =			list(lowerCAmelCase_)
      lowercase_             =			conv_bias
      lowercase_             =			num_conv_pos_embeddings
      lowercase_             =			num_conv_pos_embedding_groups
      lowercase_             =			len(self.conv_dim)
      lowercase_             =			num_hidden_layers
      lowercase_             =			intermediate_size
      lowercase_             =			squeeze_factor
      lowercase_             =			hidden_act
      lowercase_             =			num_attention_heads
      lowercase_             =			hidden_dropout
      lowercase_             =			attention_dropout
      lowercase_             =			activation_dropout
      lowercase_             =			feat_proj_dropout
      lowercase_             =			final_dropout
      lowercase_             =			layerdrop
      lowercase_             =			layer_norm_eps
      lowercase_             =			initializer_range
      lowercase_             =			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
      lowercase_             =			apply_spec_augment
      lowercase_             =			mask_time_prob
      lowercase_             =			mask_time_length
      lowercase_             =			mask_time_min_masks
      lowercase_             =			mask_feature_prob
      lowercase_             =			mask_feature_length
      lowercase_             =			mask_feature_min_masks

      # ctc loss
      lowercase_             =			ctc_loss_reduction
      lowercase_             =			ctc_zero_infinity

      # sequence classification
      lowercase_             =			use_weighted_layer_sum
      lowercase_             =			classifier_proj_size




    @property
    def        _UpperCAmelCase						(					self      :					Any):







      """simple docstring"""







      return functools.reduce(operator.mul			,	self.conv_stride			,	1)



'''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
lowercase     :							Tuple       						=     '\nHuman: <<task>>\n\nAssistant: '


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







def 						lowerCAmelCase_							(  snake_case__						,							snake_case__						,							snake_case__="run"		):




    '''simple docstring'''



    if prompt_or_repo_id is None:
        A			:  List[Any]   =		DEFAULT_PROMPTS_REPO

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

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




