
import importlib
import json
import os
from collections import OrderedDict
from typing import Dict, Optional, Union

# Build the list of all feature extractors
from ...configuration_utils import PretrainedConfig
from ...dynamic_module_utils import get_class_from_dynamic_module, resolve_trust_remote_code
from ...feature_extraction_utils import FeatureExtractionMixin
from ...utils import CONFIG_NAME, FEATURE_EXTRACTOR_NAME, get_file_from_repo, logging
from .auto_factory import _LazyAutoMapping
from .configuration_auto import (
    CONFIG_MAPPING_NAMES,
    AutoConfig,
    model_type_to_module_name,
    replace_list_option_in_docstrings,
)


__A							=logging.get_logger(__name__)

__A							=OrderedDict(
    [
        ('''audio-spectrogram-transformer''', '''ASTFeatureExtractor'''),
        ('''beit''', '''BeitFeatureExtractor'''),
        ('''chinese_clip''', '''ChineseCLIPFeatureExtractor'''),
        ('''clap''', '''ClapFeatureExtractor'''),
        ('''clip''', '''CLIPFeatureExtractor'''),
        ('''clipseg''', '''ViTFeatureExtractor'''),
        ('''conditional_detr''', '''ConditionalDetrFeatureExtractor'''),
        ('''convnext''', '''ConvNextFeatureExtractor'''),
        ('''cvt''', '''ConvNextFeatureExtractor'''),
        ('''data2vec-audio''', '''Wav2Vec2FeatureExtractor'''),
        ('''data2vec-vision''', '''BeitFeatureExtractor'''),
        ('''deformable_detr''', '''DeformableDetrFeatureExtractor'''),
        ('''deit''', '''DeiTFeatureExtractor'''),
        ('''detr''', '''DetrFeatureExtractor'''),
        ('''dinat''', '''ViTFeatureExtractor'''),
        ('''donut-swin''', '''DonutFeatureExtractor'''),
        ('''dpt''', '''DPTFeatureExtractor'''),
        ('''encodec''', '''EncodecFeatureExtractor'''),
        ('''flava''', '''FlavaFeatureExtractor'''),
        ('''glpn''', '''GLPNFeatureExtractor'''),
        ('''groupvit''', '''CLIPFeatureExtractor'''),
        ('''hubert''', '''Wav2Vec2FeatureExtractor'''),
        ('''imagegpt''', '''ImageGPTFeatureExtractor'''),
        ('''layoutlmv2''', '''LayoutLMv2FeatureExtractor'''),
        ('''layoutlmv3''', '''LayoutLMv3FeatureExtractor'''),
        ('''levit''', '''LevitFeatureExtractor'''),
        ('''maskformer''', '''MaskFormerFeatureExtractor'''),
        ('''mctct''', '''MCTCTFeatureExtractor'''),
        ('''mobilenet_v1''', '''MobileNetV1FeatureExtractor'''),
        ('''mobilenet_v2''', '''MobileNetV2FeatureExtractor'''),
        ('''mobilevit''', '''MobileViTFeatureExtractor'''),
        ('''nat''', '''ViTFeatureExtractor'''),
        ('''owlvit''', '''OwlViTFeatureExtractor'''),
        ('''perceiver''', '''PerceiverFeatureExtractor'''),
        ('''poolformer''', '''PoolFormerFeatureExtractor'''),
        ('''regnet''', '''ConvNextFeatureExtractor'''),
        ('''resnet''', '''ConvNextFeatureExtractor'''),
        ('''segformer''', '''SegformerFeatureExtractor'''),
        ('''sew''', '''Wav2Vec2FeatureExtractor'''),
        ('''sew-d''', '''Wav2Vec2FeatureExtractor'''),
        ('''speech_to_text''', '''Speech2TextFeatureExtractor'''),
        ('''speecht5''', '''SpeechT5FeatureExtractor'''),
        ('''swiftformer''', '''ViTFeatureExtractor'''),
        ('''swin''', '''ViTFeatureExtractor'''),
        ('''swinv2''', '''ViTFeatureExtractor'''),
        ('''table-transformer''', '''DetrFeatureExtractor'''),
        ('''timesformer''', '''VideoMAEFeatureExtractor'''),
        ('''tvlt''', '''TvltFeatureExtractor'''),
        ('''unispeech''', '''Wav2Vec2FeatureExtractor'''),
        ('''unispeech-sat''', '''Wav2Vec2FeatureExtractor'''),
        ('''van''', '''ConvNextFeatureExtractor'''),
        ('''videomae''', '''VideoMAEFeatureExtractor'''),
        ('''vilt''', '''ViltFeatureExtractor'''),
        ('''vit''', '''ViTFeatureExtractor'''),
        ('''vit_mae''', '''ViTFeatureExtractor'''),
        ('''vit_msn''', '''ViTFeatureExtractor'''),
        ('''wav2vec2''', '''Wav2Vec2FeatureExtractor'''),
        ('''wav2vec2-conformer''', '''Wav2Vec2FeatureExtractor'''),
        ('''wavlm''', '''Wav2Vec2FeatureExtractor'''),
        ('''whisper''', '''WhisperFeatureExtractor'''),
        ('''xclip''', '''CLIPFeatureExtractor'''),
        ('''yolos''', '''YolosFeatureExtractor'''),
    ]
)

__A							=_LazyAutoMapping(CONFIG_MAPPING_NAMES, FEATURE_EXTRACTOR_MAPPING_NAMES)





def      lowerCamelCase_					(							lowerCamelCase__       ):
				for module_name, extractors in FEATURE_EXTRACTOR_MAPPING_NAMES.items():
								if class_name in extractors:
												lowerCamelCase_         =     model_type_to_module_name(lowerCamelCase__       )

												lowerCamelCase_         =     importlib.import_module(F'.{module_name}'      ,					"transformers.models"       )
												try:
																return getattr(lowerCamelCase__      ,					lowerCamelCase__       )
												except AttributeError:
																continue

				for _, extractor in FEATURE_EXTRACTOR_MAPPING._extra_content.items():
								if getattr(lowerCamelCase__      ,					"__name__"      ,					lowerCamelCase__       ) == class_name:
												return extractor

    # We did not fine the class, but maybe it's because a dep is missing. In that case, the class will be in the main
    # init and we return the proper dummy to get an appropriate error message.
				lowerCamelCase_         =     importlib.import_module("transformers"       )
				if hasattr(lowerCamelCase__      ,					lowerCamelCase__       ):
								return getattr(lowerCamelCase__      ,					lowerCamelCase__       )

				return None





def      lowerCamelCase_					(							lowerCamelCase__      ,					lowerCamelCase__ = None      ,					lowerCamelCase__ = False      ,					lowerCamelCase__ = False      ,					lowerCamelCase__ = None      ,					lowerCamelCase__ = None      ,					lowerCamelCase__ = None      ,					lowerCamelCase__ = False      ,					**lowerCamelCase__      ,					):
				lowerCamelCase_         =     get_file_from_repo(
				    lowerCamelCase__      ,					lowerCamelCase__      ,					cache_dir=lowerCamelCase__      ,					force_download=lowerCamelCase__      ,					resume_download=lowerCamelCase__      ,					proxies=lowerCamelCase__      ,					use_auth_token=lowerCamelCase__      ,					revision=lowerCamelCase__      ,					local_files_only=lowerCamelCase__      ,					)
				if resolved_config_file is None:
								logger.info(
								    "Could not locate the feature extractor configuration file, will try to use the model config instead."       )
								return {}

				with open(lowerCamelCase__      ,					encoding="utf-8"       ) as reader:
								return json.load(lowerCamelCase__       )





class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self					)							->			Dict:
					raise EnvironmentError(
					    "AutoFeatureExtractor is designed to be instantiated "
					    "using the `AutoFeatureExtractor.from_pretrained(pretrained_model_name_or_path)` method."					)



	@classmethod
	@replace_list_option_in_docstrings(lowercase					)
	def        SCREAMING_SNAKE_CASE_(       cls		,    lowercase		,    **lowercase					)							->			Optional[int]:
					lowerCamelCase_         =     kwargs.pop("config"		,    lowercase					)
					lowerCamelCase_         =     kwargs.pop("trust_remote_code"		,    lowercase					)
					lowerCamelCase_         =     True

					lowerCamelCase_      ,       lowerCamelCase_         =     FeatureExtractionMixin.get_feature_extractor_dict(lowercase		,    **lowercase					)
					lowerCamelCase_         =     config_dict.get("feature_extractor_type"		,    lowercase					)
					lowerCamelCase_         =     None
					if "AutoFeatureExtractor" in config_dict.get("auto_map"		,    {}					):
									lowerCamelCase_         =     config_dict["auto_map"]["AutoFeatureExtractor"]

					# If we don't find the feature extractor class in the feature extractor config, let's try the model config.
					if feature_extractor_class is None and feature_extractor_auto_map is None:
									if not isinstance(lowercase		,    lowercase					):
													lowerCamelCase_         =     AutoConfig.from_pretrained(lowercase		,    **lowercase					)
									# It could be in `config.feature_extractor_type``
									lowerCamelCase_         =     getattr(lowercase		,    "feature_extractor_type"		,    lowercase					)
									if hasattr(lowercase		,    "auto_map"					) and "AutoFeatureExtractor" in config.auto_map:
													lowerCamelCase_         =     config.auto_map["AutoFeatureExtractor"]

					if feature_extractor_class is not None:
									lowerCamelCase_         =     feature_extractor_class_from_name(lowercase					)

					lowerCamelCase_         =     feature_extractor_auto_map is not None
					lowerCamelCase_         =     feature_extractor_class is not None or type(lowercase					) in FEATURE_EXTRACTOR_MAPPING
					lowerCamelCase_         =     resolve_trust_remote_code(
					    lowercase		,    lowercase		,    lowercase		,    lowercase					)

					if has_remote_code and trust_remote_code:
									lowerCamelCase_         =     get_class_from_dynamic_module(
									    lowercase		,    lowercase		,    **lowercase					)
									lowerCamelCase_         =     kwargs.pop("code_revision"		,    lowercase					)
									if os.path.isdir(lowercase					):
													feature_extractor_class.register_for_auto_class()
									return feature_extractor_class.from_dict(lowercase		,    **lowercase					)
					elif feature_extractor_class is not None:
									return feature_extractor_class.from_dict(lowercase		,    **lowercase					)
					# Last try: we use the FEATURE_EXTRACTOR_MAPPING.
					elif type(lowercase					) in FEATURE_EXTRACTOR_MAPPING:
									lowerCamelCase_         =     FEATURE_EXTRACTOR_MAPPING[type(lowercase					)]
									return feature_extractor_class.from_dict(lowercase		,    **lowercase					)

					raise ValueError(
					    f'Unrecognized feature extractor in {pretrained_model_name_or_path}. Should have a '
					    f'`feature_extractor_type` key in its {FEATURE_EXTRACTOR_NAME} of {CONFIG_NAME}, or one of the following '
					    f'`model_type` keys in its {CONFIG_NAME}: {", ".join(c for c in FEATURE_EXTRACTOR_MAPPING_NAMES.keys()					)}'					)



	@staticmethod
	def        SCREAMING_SNAKE_CASE_(       lowercase		,    lowercase					)							->			str:
					FEATURE_EXTRACTOR_MAPPING.register(lowercase		,    lowercase					)




class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self		,    lowercase		,    lowercase=None		,    lowercase=None					)							->			List[Any]:
					lowerCamelCase_         =     data
					lowerCamelCase_         =     previous
					lowerCamelCase_         =     next_node



	def __str__(       self					)							->			str:
					return f'{self.data}'



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.data



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Union[str, Any]:
					return self.next



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.previous




class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self		,    lowercase					)							->			Optional[int]:
					lowerCamelCase_         =     head



	def __iter__(       self					)							->			int:
					return self



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Optional[Any]:
					if not self.current:
									raise StopIteration
					else:
									lowerCamelCase_         =     self.current.get_data()
									lowerCamelCase_         =     self.current.get_next()
									return value




class        _SCREAMING_SNAKE_CASE	:



	def __init__(       self					)							->			Union[str, Any]:
					lowerCamelCase_         =     None  # First node in list
					lowerCamelCase_         =     None  # Last node in list



	def __str__(       self					)							->			Optional[Any]:
					lowerCamelCase_         =     self.head
					lowerCamelCase_         =     []
					while current is not None:
									nodes.append(current.get_data()					)
									lowerCamelCase_         =     current.get_next()
					return " ".join(str(lowercase					) for node in nodes					)



	def __contains__(       self		,    lowercase					)							->			Optional[int]:
					lowerCamelCase_         =     self.head
					while current:
									if current.get_data() == value:
													return True
									lowerCamelCase_         =     current.get_next()
					return False



	def __iter__(       self					)							->			List[str]:
					return LinkedListIterator(self.head					)



	def        SCREAMING_SNAKE_CASE_(       self					)							->			List[str]:
					if self.head:
									return self.head.get_data()
					return None



	def        SCREAMING_SNAKE_CASE_(       self					)							->			Any:
					if self.tail:
									return self.tail.get_data()
					return None



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					if self.head is None:
									lowerCamelCase_         =     node
									lowerCamelCase_         =     node
					else:
									self.insert_before_node(self.head		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					if self.head is None:
									self.set_head(lowercase					)
					else:
									self.insert_after_node(self.tail		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			None:
					lowerCamelCase_         =     Node(lowercase					)
					if self.head is None:
									self.set_head(lowercase					)
					else:
									self.set_tail(lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     node
					lowerCamelCase_         =     node.previous

					if node.get_previous() is None:
									lowerCamelCase_         =     node_to_insert
					else:
									lowerCamelCase_         =     node_to_insert

					lowerCamelCase_         =     node_to_insert



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     node
					lowerCamelCase_         =     node.next

					if node.get_next() is None:
									lowerCamelCase_         =     node_to_insert
					else:
									lowerCamelCase_         =     node_to_insert

					lowerCamelCase_         =     node_to_insert



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase		,    lowercase					)							->			None:
					lowerCamelCase_         =     1
					lowerCamelCase_         =     Node(lowercase					)
					lowerCamelCase_         =     self.head
					while node:
									if current_position == position:
													self.insert_before_node(lowercase		,    lowercase					)
													return
									current_position += 1
									lowerCamelCase_         =     node.next
					self.insert_after_node(self.tail		,    lowercase					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Node:
					lowerCamelCase_         =     self.head
					while node:
									if node.get_data() == item:
													return node
									lowerCamelCase_         =     node.get_next()
					raise Exception("Node not found"					)



	def        SCREAMING_SNAKE_CASE_(       self		,    lowercase					)							->			Union[str, Any]:
					if (node := self.get_node(lowercase					)) is not None:
									if node == self.head:
													lowerCamelCase_         =     self.head.get_next()

									if node == self.tail:
													lowerCamelCase_         =     self.tail.get_previous()

									self.remove_node_pointers(lowercase					)



	@staticmethod
	def        SCREAMING_SNAKE_CASE_(       lowercase					)							->			None:
					if node.get_next():
									lowerCamelCase_         =     node.previous

					if node.get_previous():
									lowerCamelCase_         =     node.next

					lowerCamelCase_         =     None
					lowerCamelCase_         =     None



	def        SCREAMING_SNAKE_CASE_(       self					)							->			int:
					return self.head is None





def      lowerCamelCase_					(							):
				pass


if __name__ == "__main__":
			import doctest

			doctest.testmod()


