code: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  import requests
  
  try:
         from django.contrib.auth import authenticate, login
         from django.shortcuts import redirect, render
  except ImportError:
         lowerCamelCase_     :     Any    		=						print
  def _A		(		lowercase	):
  
  
  
  
  
  
  
      """simple docstring"""
      # Enter your recaptcha secret key here
      a					='''secretKey'''
      a					='''https://www.google.com/recaptcha/api/siteverify'''
  
      # when method is not POST, direct user to login page
      if request.method != "POST":
          return render(lowercase ,					'''login.html'''	)
  
      # from the frontend, get username, password, and client_key
      a					=request.POST.get('''username'''	)
      a					=request.POST.get('''password'''	)
      a					=request.POST.get('''g-recaptcha-response'''	)
  
      # post recaptcha response to Google's recaptcha api
      a					=requests.post(lowercase ,					data={'''secret''': secret_key, '''response''': client_key}	)
      # if the recaptcha api verified our keys
      if response.json().get('''success''' ,					lowercase	):
          # authenticate the user
          a					=authenticate(lowercase ,					username=lowercase ,					password=lowercase	)
          if user_in_database:
              login(lowercase ,					lowercase	)
              return redirect('''/your-webpage'''	)
      return render(lowercase ,					'''login.html'''	)
style_context: 
  
  
  """simple docstring"""
  
  
  
  
  
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available
  
  
  lowerCamelCase_     :     Any    		=						{"""configuration_dinat""": ["""DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP""", """DinatConfig"""]}
  
  
  try:
         if not is_torch_available():
                raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
         pass
  else:
         lowerCamelCase_     :     List[str]    		=						[
             """DINAT_PRETRAINED_MODEL_ARCHIVE_LIST""",
             """DinatForImageClassification""",
             """DinatModel""",
             """DinatPreTrainedModel""",
             """DinatBackbone""",
         ]
  
  if TYPE_CHECKING:
         from .configuration_dinat import DINAT_PRETRAINED_CONFIG_ARCHIVE_MAP, DinatConfig
  
         try:
                if not is_torch_available():
                       raise OptionalDependencyNotAvailable()
         except OptionalDependencyNotAvailable:
                pass
         else:
                from .modeling_dinat import (
                    DINAT_PRETRAINED_MODEL_ARCHIVE_LIST,
                    DinatBackbone,
                    DinatForImageClassification,
                    DinatModel,
                    DinatPreTrainedModel,
                )
  
  else:
         import sys
  
         lowerCamelCase_     :     List[Any]    		=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)