
'''simple docstring'''
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_flax_available,
    is_tf_available,
    is_tokenizers_available,
    is_torch_available,
)


lowercase__						       =      {
    "configuration_whisper": ["WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP", "WhisperConfig", "WhisperOnnxConfig"],
    "feature_extraction_whisper": ["WhisperFeatureExtractor"],
    "processing_whisper": ["WhisperProcessor"],
    "tokenization_whisper": ["WhisperTokenizer"],
}

try:
						if not is_tokenizers_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      ["WhisperTokenizerFast"]

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      [
						    "WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "WhisperForConditionalGeneration",
						    "WhisperModel",
						    "WhisperPreTrainedModel",
						    "WhisperForAudioClassification",
						]

try:
						if not is_tf_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      [
						    "TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST",
						    "TFWhisperForConditionalGeneration",
						    "TFWhisperModel",
						    "TFWhisperPreTrainedModel",
						]

try:
						if not is_flax_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowercase__						       =      [
						    "FlaxWhisperForConditionalGeneration",
						    "FlaxWhisperModel",
						    "FlaxWhisperPreTrainedModel",
						    "FlaxWhisperForAudioClassification",
						]


if TYPE_CHECKING:
						from .configuration_whisper import WHISPER_PRETRAINED_CONFIG_ARCHIVE_MAP, WhisperConfig, WhisperOnnxConfig
						from .feature_extraction_whisper import WhisperFeatureExtractor
						from .processing_whisper import WhisperProcessor
						from .tokenization_whisper import WhisperTokenizer

						try:
												if not is_tokenizers_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .tokenization_whisper_fast import WhisperTokenizerFast

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_whisper import (
												    WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    WhisperForAudioClassification,
												    WhisperForConditionalGeneration,
												    WhisperModel,
												    WhisperPreTrainedModel,
												)

						try:
												if not is_tf_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_tf_whisper import (
												    TF_WHISPER_PRETRAINED_MODEL_ARCHIVE_LIST,
												    TFWhisperForConditionalGeneration,
												    TFWhisperModel,
												    TFWhisperPreTrainedModel,
												)

						try:
												if not is_flax_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_flax_whisper import (
												    FlaxWhisperForAudioClassification,
												    FlaxWhisperForConditionalGeneration,
												    FlaxWhisperModel,
												    FlaxWhisperPreTrainedModel,
												)

else:
						import sys

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




'''simple docstring'''
import warnings

from ...utils import logging
from .image_processing_glpn import GLPNImageProcessor


lowercase__						       =      logging.get_logger(__name__)






class 	snake_case__       (      __SCREAMING_SNAKE_CASE					):







		"""simple docstring"""

		def __init__(      self				:			Optional[Any]  ,	*UpperCamelCase__				:			Optional[Any]  ,	**UpperCamelCase__				:			str      )						->			None:






				"""simple docstring"""







				warnings.warn(
				    '''The class GLPNFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'''
				    ''' use GLPNImageProcessor instead.'''  ,	UpperCamelCase__  ,	)
				super().__init__(*UpperCamelCase__  ,	**UpperCamelCase__      )


