
from typing import TYPE_CHECKING

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


_SCREAMING_SNAKE_CASE     :   Dict							 =      {
    'configuration_led': ['LED_PRETRAINED_CONFIG_ARCHIVE_MAP', 'LEDConfig'],
    'tokenization_led': ['LEDTokenizer'],
}

try:
					if not is_tokenizers_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_SCREAMING_SNAKE_CASE     :   Any							 =      ['LEDTokenizerFast']

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_SCREAMING_SNAKE_CASE     :   int							 =      [
					    'LED_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'LEDForConditionalGeneration',
					    'LEDForQuestionAnswering',
					    'LEDForSequenceClassification',
					    'LEDModel',
					    'LEDPreTrainedModel',
					]


try:
					if not is_tf_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					_SCREAMING_SNAKE_CASE     :   Union[str, Any]							 =      ['TFLEDForConditionalGeneration', 'TFLEDModel', 'TFLEDPreTrainedModel']


if TYPE_CHECKING:
					from .configuration_led import LED_PRETRAINED_CONFIG_ARCHIVE_MAP, LEDConfig
					from .tokenization_led import LEDTokenizer

					try:
										if not is_tokenizers_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .tokenization_led_fast import LEDTokenizerFast

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_led import (
										    LED_PRETRAINED_MODEL_ARCHIVE_LIST,
										    LEDForConditionalGeneration,
										    LEDForQuestionAnswering,
										    LEDForSequenceClassification,
										    LEDModel,
										    LEDPreTrainedModel,
										)

					try:
										if not is_tf_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_tf_led import TFLEDForConditionalGeneration, TFLEDModel, TFLEDPreTrainedModel

else:
					import sys

					_SCREAMING_SNAKE_CASE     :   Tuple							 =      _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)






import warnings

from .generation import GenerationMixin
class SCREAMING_SNAKE_CASE_    (       snake_case_       ):
						# warning at import time
						warnings.warn(
						    "Importing `GenerationMixin` from `src/transformers/generation_utils.py` is deprecated and will "
						    "be removed in Transformers v5. Import as `from transformers import GenerationMixin` instead."							,					snake_case_							,					)

