



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


UpperCAmelCase:  Dict			     =				{
    """configuration_mobilenet_v1""": [
        """MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV1Config""",
        """MobileNetV1OnnxConfig""",
    ],
}

try:
		if not is_vision_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase:  Tuple			     =				["""MobileNetV1FeatureExtractor"""]
		UpperCAmelCase:  Any			     =				["""MobileNetV1ImageProcessor"""]

try:
		if not is_torch_available():
				raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
		pass
else:
		UpperCAmelCase:  Optional[int]			     =				[
		    """MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST""",
		    """MobileNetV1ForImageClassification""",
		    """MobileNetV1Model""",
		    """MobileNetV1PreTrainedModel""",
		    """load_tf_weights_in_mobilenet_v1""",
		]


if TYPE_CHECKING:
		from .configuration_mobilenet_va import (
		    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
		    MobileNetVaConfig,
		    MobileNetVaOnnxConfig,
		)

		try:
				if not is_vision_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
				from .image_processing_mobilenet_va import MobileNetVaImageProcessor

		try:
				if not is_torch_available():
						raise OptionalDependencyNotAvailable()
		except OptionalDependencyNotAvailable:
				pass
		else:
				from .modeling_mobilenet_va import (
				    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
				    MobileNetVaForImageClassification,
				    MobileNetVaModel,
				    MobileNetVaPreTrainedModel,
				    load_tf_weights_in_mobilenet_va,
				)


else:
		import sys

		UpperCAmelCase:  Dict			     =				_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









import requests

try:
							from django.contrib.auth import authenticate, login
							from django.shortcuts import redirect, render
except ImportError:
							UpperCamelCase__						=		UpperCamelCase__						=		UpperCamelCase__						=		UpperCamelCase__						=		print






def    snake_case   (				A     )				->				List[str]:




	'''simple docstring'''


	lowerCamelCase_				:						Optional[int]				  =				'secretKey'
	lowerCamelCase_				:						str				  =				'https://www.google.com/recaptcha/api/siteverify'

	# when method is not POST, direct user to login page
	if request.method != "POST":
		return render(A		,  'login.html'     )

	# from the frontend, get username, password, and client_key
	lowerCamelCase_				:						int				  =				request.POST.get('username'     )
	lowerCamelCase_				:						str				  =				request.POST.get('password'     )
	lowerCamelCase_				:						List[Any]				  =				request.POST.get('g-recaptcha-response'     )

	# post recaptcha response to Google's recaptcha api
	lowerCamelCase_				:						Union[str, Any]				  =				requests.post(A		,  data={'secret': secret_key, 'response': client_key}     )
	# if the recaptcha api verified our keys
	if response.json().get('success'		,  A     ):
		# authenticate the user
		lowerCamelCase_				:						int				  =				authenticate(A		,  username=A		,  password=A     )
		if user_in_database:
			login(A		,  A     )
			return redirect('/your-webpage'     )
	return render(A		,  'login.html'     )
