





from ..utils import DummyObject, requires_backends



class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					Optional[Any]	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       Any:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Optional[int]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       str:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )




class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					int	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       List[Any]:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Any:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       List[str]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )




class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					int	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       int:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Optional[int]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Union[str, Any]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )




class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					Any	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       Any:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Optional[int]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       List[Any]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )




class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					List[str]	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       List[str]:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       List[Any]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       str:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )




class  __lowerCAmelCase	(      metaclass=_a					):
			lowerCamelCase_					:					str	      =				['''torch''', '''transformers''', '''onnx''']






			def __init__(self ,							*__magic_name__ ,							**__magic_name__   )					->       Tuple:


							'''simple docstring'''



							requires_backends(self ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Union[str, Any]:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )






			@classmethod
			def       lowerCamelCase  (cls ,							*__magic_name__ ,							**__magic_name__   )					->       Any:


							'''simple docstring'''



							requires_backends(cls ,							['''torch''', '''transformers''', '''onnx''']   )











from typing import TYPE_CHECKING

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


lowerCAmelCase_    =    {'''configuration_xglm''': ['''XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP''', '''XGLMConfig''']}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    ['''XGLMTokenizer''']

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    ['''XGLMTokenizerFast''']

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''XGLMForCausalLM''',
	    '''XGLMModel''',
	    '''XGLMPreTrainedModel''',
	]


try:
	if not is_flax_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''FlaxXGLMForCausalLM''',
	    '''FlaxXGLMModel''',
	    '''FlaxXGLMPreTrainedModel''',
	]


try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	lowerCAmelCase_    =    [
	    '''TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST''',
	    '''TFXGLMForCausalLM''',
	    '''TFXGLMModel''',
	    '''TFXGLMPreTrainedModel''',
	]


if TYPE_CHECKING:
	from .configuration_xglm import XGLM_PRETRAINED_CONFIG_ARCHIVE_MAP, XGLMConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm import XGLMTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_xglm_fast import XGLMTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_xglm import XGLM_PRETRAINED_MODEL_ARCHIVE_LIST, XGLMForCausalLM, XGLMModel, XGLMPreTrainedModel

	try:
		if not is_flax_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_flax_xglm import FlaxXGLMForCausalLM, FlaxXGLMModel, FlaxXGLMPreTrainedModel

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_xglm import (
		    TF_XGLM_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFXGLMForCausalLM,
		    TFXGLMModel,
		    TFXGLMPreTrainedModel,
		)


else:
	import sys

	lowerCAmelCase_    =    _LazyModule(__name__, globals()['''__file__'''], _import_structure)
