



"""simple docstring"""






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


_lowercase					:					Dict 		=		logging.get_logger(__name__)

_lowercase					:					Optional[Any] 		=		{
    "google/reformer-crime-and-punishment": (
        "https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/config.json"
    ),
    "google/reformer-enwik8": "https://huggingface.co/google/reformer-enwik8/resolve/main/config.json",
}

class 			__SCREAMING_SNAKE_CASE      ( lowerCAmelCase_  ):


					'''simple docstring'''





					_a       =				'reformer'
					_a       =				['past_buckets_states']
					_a       =				{}



					def __init__(			self				:    Tuple,    lowerCamelCase				:    int=64,    lowerCamelCase				:    Optional[Any]=["local", "lsh", "local", "lsh", "local", "lsh"],    lowerCamelCase				:    Any=1.0,    lowerCamelCase				:    Union[str, Any]=True,    lowerCamelCase				:    str=[64, 64],    lowerCamelCase				:    Tuple=[64, 192],    lowerCamelCase				:    Tuple=0,    lowerCamelCase				:    List[str]=2,    lowerCamelCase				:    Union[str, Any]=512,    lowerCamelCase				:    List[Any]=None,    lowerCamelCase				:    Tuple="relu",    lowerCamelCase				:    Optional[int]=0.05,    lowerCamelCase				:    Optional[int]=256,    lowerCamelCase				:    Dict=0.02,    lowerCamelCase				:    Optional[int]=False,    lowerCamelCase				:    int=1E-12,    lowerCamelCase				:    int=1,    lowerCamelCase				:    List[Any]=0,    lowerCamelCase				:    str=0.05,    lowerCamelCase				:    Optional[int]=64,    lowerCamelCase				:    Tuple=64,    lowerCamelCase				:    List[Any]=0.0,    lowerCamelCase				:    int=1,    lowerCamelCase				:    Any=0,    lowerCamelCase				:    Union[str, Any]=4096,    lowerCamelCase				:    Any=12,    lowerCamelCase				:    Dict=None,    lowerCamelCase				:    Optional[int]=1,    lowerCamelCase				:    List[str]=0,    lowerCamelCase				:    Tuple=320,    lowerCamelCase				:    int=False,    lowerCamelCase				:    Optional[int]=True,    lowerCamelCase				:    List[str]=None,    **lowerCamelCase				:    str,    )->   Union[str, Any]:
								lowerCamelCase__						:						List[Any]						      =hash_seed
								lowerCamelCase__						:						int						      =vocab_size
								lowerCamelCase__						:						List[Any]						      =attention_head_size
								lowerCamelCase__						:						Any						      =hidden_size
								lowerCamelCase__						:						Tuple						      =num_attention_heads
								lowerCamelCase__						:						List[str]						      =num_hashes
								lowerCamelCase__						:						Union[str, Any]						      =len(lowerCamelCase	)
								lowerCamelCase__						:						List[str]						      =tuple(lowerCamelCase	) if isinstance(lowerCamelCase,    lowerCamelCase	) else num_buckets
								lowerCamelCase__						:						Union[str, Any]						      =lsh_attn_chunk_length
								lowerCamelCase__						:						Optional[int]						      =local_attn_chunk_length
								lowerCamelCase__						:						List[str]						      =lsh_num_chunks_after
								lowerCamelCase__						:						List[Any]						      =lsh_num_chunks_before
								lowerCamelCase__						:						int						      =local_num_chunks_after
								lowerCamelCase__						:						Optional[Any]						      =local_num_chunks_before
								lowerCamelCase__						:						List[str]						      =hidden_act
								lowerCamelCase__						:						List[Any]						      =feed_forward_size
								lowerCamelCase__						:						Any						      =hidden_dropout_prob
								lowerCamelCase__						:						Tuple						      =lsh_attention_probs_dropout_prob
								lowerCamelCase__						:						List[str]						      =local_attention_probs_dropout_prob
								lowerCamelCase__						:						List[Any]						      =max_position_embeddings
								lowerCamelCase__						:						Union[str, Any]						      =initializer_range
								lowerCamelCase__						:						Optional[Any]						      =layer_norm_eps
								lowerCamelCase__						:						str						      =axial_pos_embds
								lowerCamelCase__						:						List[str]						      =tuple(lowerCamelCase	)
								lowerCamelCase__						:						int						      =tuple(lowerCamelCase	)
								lowerCamelCase__						:						Union[str, Any]						      =axial_norm_std
								lowerCamelCase__						:						Optional[Any]						      =chunk_size_lm_head
								lowerCamelCase__						:						int						      =attn_layers
								lowerCamelCase__						:						int						      =use_cache
								lowerCamelCase__						:						Union[str, Any]						      =classifier_dropout
								super().__init__(
								    pad_token_id=lowerCamelCase,    eos_token_id=lowerCamelCase,    is_decoder=lowerCamelCase,    tie_word_embeddings=lowerCamelCase,    **lowerCamelCase,    )









# 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.
from typing import TYPE_CHECKING

from ..utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


UpperCamelCase__			=    {
    "agents": ["Agent", "AzureOpenAiAgent", "HfAgent", "LocalAgent", "OpenAiAgent"],
    "base": ["PipelineTool", "RemoteTool", "Tool", "launch_gradio_demo", "load_tool"],
}

try:
			if not is_torch_available():
						raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
			pass
else:
			UpperCamelCase__			=    ["DocumentQuestionAnsweringTool"]
			UpperCamelCase__			=    ["ImageCaptioningTool"]
			UpperCamelCase__			=    ["ImageQuestionAnsweringTool"]
			UpperCamelCase__			=    ["ImageSegmentationTool"]
			UpperCamelCase__			=    ["SpeechToTextTool"]
			UpperCamelCase__			=    ["TextClassificationTool"]
			UpperCamelCase__			=    ["TextQuestionAnsweringTool"]
			UpperCamelCase__			=    ["TextSummarizationTool"]
			UpperCamelCase__			=    ["TextToSpeechTool"]
			UpperCamelCase__			=    ["TranslationTool"]

if TYPE_CHECKING:
			from .agents import Agent, AzureOpenAiAgent, HfAgent, LocalAgent, OpenAiAgent
			from .base import PipelineTool, RemoteTool, Tool, launch_gradio_demo, load_tool

			try:
						if not is_torch_available():
									raise OptionalDependencyNotAvailable()
			except OptionalDependencyNotAvailable:
						pass
			else:
						from .document_question_answering import DocumentQuestionAnsweringTool
						from .image_captioning import ImageCaptioningTool
						from .image_question_answering import ImageQuestionAnsweringTool
						from .image_segmentation import ImageSegmentationTool
						from .speech_to_text import SpeechToTextTool
						from .text_classification import TextClassificationTool
						from .text_question_answering import TextQuestionAnsweringTool
						from .text_summarization import TextSummarizationTool
						from .text_to_speech import TextToSpeechTool
						from .translation import TranslationTool
else:
			import sys

			UpperCamelCase__			=    _LazyModule(__name__, globals()["__file__"], _import_structure, module_spec=__spec__)





