

from typing import TYPE_CHECKING

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


__snake_case							:			List[str]      		= {
    """configuration_camembert""": ["""CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """CamembertConfig""", """CamembertOnnxConfig"""],
}

try:
	if not is_sentencepiece_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Union[str, Any]      		= ["""CamembertTokenizer"""]

try:
	if not is_tokenizers_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Any      		= ["""CamembertTokenizerFast"""]

try:
	if not is_torch_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Optional[int]      		= [
	    """CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """CamembertForCausalLM""",
	    """CamembertForMaskedLM""",
	    """CamembertForMultipleChoice""",
	    """CamembertForQuestionAnswering""",
	    """CamembertForSequenceClassification""",
	    """CamembertForTokenClassification""",
	    """CamembertModel""",
	    """CamembertPreTrainedModel""",
	]

try:
	if not is_tf_available():
		raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
	pass
else:
	__snake_case							:			Any      		= [
	    """TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST""",
	    """TFCamembertForCausalLM""",
	    """TFCamembertForMaskedLM""",
	    """TFCamembertForMultipleChoice""",
	    """TFCamembertForQuestionAnswering""",
	    """TFCamembertForSequenceClassification""",
	    """TFCamembertForTokenClassification""",
	    """TFCamembertModel""",
	    """TFCamembertPreTrainedModel""",
	]


if TYPE_CHECKING:
	from .configuration_camembert import CAMEMBERT_PRETRAINED_CONFIG_ARCHIVE_MAP, CamembertConfig, CamembertOnnxConfig

	try:
		if not is_sentencepiece_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_camembert import CamembertTokenizer

	try:
		if not is_tokenizers_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .tokenization_camembert_fast import CamembertTokenizerFast

	try:
		if not is_torch_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_camembert import (
		    CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    CamembertForCausalLM,
		    CamembertForMaskedLM,
		    CamembertForMultipleChoice,
		    CamembertForQuestionAnswering,
		    CamembertForSequenceClassification,
		    CamembertForTokenClassification,
		    CamembertModel,
		    CamembertPreTrainedModel,
		)

	try:
		if not is_tf_available():
			raise OptionalDependencyNotAvailable()
	except OptionalDependencyNotAvailable:
		pass
	else:
		from .modeling_tf_camembert import (
		    TF_CAMEMBERT_PRETRAINED_MODEL_ARCHIVE_LIST,
		    TFCamembertForCausalLM,
		    TFCamembertForMaskedLM,
		    TFCamembertForMultipleChoice,
		    TFCamembertForQuestionAnswering,
		    TFCamembertForSequenceClassification,
		    TFCamembertForTokenClassification,
		    TFCamembertModel,
		    TFCamembertPreTrainedModel,
		)

else:
	import sys

	__snake_case							:			Optional[Any]      		= _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)





import json

import requests

from .fetch_github_info import AUTHENTICATED_USER_ENDPOINT, fetch_github_info


def 				_UpperCAmelCase							(	a__):

			'''simple docstring'''



			class 					A__:
									"""simple docstring"""






									def __init__(						self     ,			_lowercase						)    ->   None:
												assert isinstance(_lowercase     ,			(bytes, str)						)
												a_	:	List[Any]          =   content





									def  UpperCamelCase__				(						self						)    ->   Optional[Any]:
												return json.loads(self.content						)

			def mock_response(*a__     ,  **a__):
						assert args[0] == AUTHENTICATED_USER_ENDPOINT
						assert "Authorization" in kwargs["headers"]
						assert kwargs["headers"]["Authorization"].startswith("""token """)
						assert "Accept" in kwargs["headers"]
						return FakeResponse(B"""{\"login\":\"test\",\"id\":1}""")

			monkeypatch.setattr(a__     ,  """get"""     ,  a__)
			a_	:	Tuple          =   fetch_github_info("""token""")
			assert result["login"] == "test"
			assert result["id"] == 1


