

'''simple docstring'''
from typing import TYPE_CHECKING

from ..utils import OptionalDependencyNotAvailable, _LazyModule, is_flax_available, is_tf_available, is_torch_available


_snake_case     						=						{
    'configuration_utils': ['GenerationConfig'],
    'streamers': ['TextIteratorStreamer', 'TextStreamer'],
}

try:
    if not is_torch_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _snake_case     						=						[
        'Constraint',
        'ConstraintListState',
        'DisjunctiveConstraint',
        'PhrasalConstraint',
    ]
    _snake_case     						=						[
        'BeamHypotheses',
        'BeamScorer',
        'BeamSearchScorer',
        'ConstrainedBeamSearchScorer',
    ]
    _snake_case     						=						[
        'EpsilonLogitsWarper',
        'EtaLogitsWarper',
        'ForcedBOSTokenLogitsProcessor',
        'ForcedEOSTokenLogitsProcessor',
        'HammingDiversityLogitsProcessor',
        'InfNanRemoveLogitsProcessor',
        'LogitsProcessor',
        'LogitsProcessorList',
        'LogitsWarper',
        'MinLengthLogitsProcessor',
        'MinNewTokensLengthLogitsProcessor',
        'NoBadWordsLogitsProcessor',
        'NoRepeatNGramLogitsProcessor',
        'PrefixConstrainedLogitsProcessor',
        'RepetitionPenaltyLogitsProcessor',
        'SequenceBiasLogitsProcessor',
        'EncoderRepetitionPenaltyLogitsProcessor',
        'TemperatureLogitsWarper',
        'TopKLogitsWarper',
        'TopPLogitsWarper',
        'TypicalLogitsWarper',
        'EncoderNoRepeatNGramLogitsProcessor',
        'ExponentialDecayLengthPenalty',
        'LogitNormalization',
    ]
    _snake_case     						=						[
        'MaxNewTokensCriteria',
        'MaxLengthCriteria',
        'MaxTimeCriteria',
        'StoppingCriteria',
        'StoppingCriteriaList',
        'validate_stopping_criteria',
    ]
    _snake_case     						=						[
        'GenerationMixin',
        'top_k_top_p_filtering',
        'GreedySearchEncoderDecoderOutput',
        'GreedySearchDecoderOnlyOutput',
        'SampleEncoderDecoderOutput',
        'SampleDecoderOnlyOutput',
        'BeamSearchEncoderDecoderOutput',
        'BeamSearchDecoderOnlyOutput',
        'BeamSampleEncoderDecoderOutput',
        'BeamSampleDecoderOnlyOutput',
        'ContrastiveSearchEncoderDecoderOutput',
        'ContrastiveSearchDecoderOnlyOutput',
    ]

try:
    if not is_tf_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _snake_case     						=						[
        'TFForcedBOSTokenLogitsProcessor',
        'TFForcedEOSTokenLogitsProcessor',
        'TFLogitsProcessor',
        'TFLogitsProcessorList',
        'TFLogitsWarper',
        'TFMinLengthLogitsProcessor',
        'TFNoBadWordsLogitsProcessor',
        'TFNoRepeatNGramLogitsProcessor',
        'TFRepetitionPenaltyLogitsProcessor',
        'TFTemperatureLogitsWarper',
        'TFTopKLogitsWarper',
        'TFTopPLogitsWarper',
        'TFForceTokensLogitsProcessor',
        'TFSuppressTokensAtBeginLogitsProcessor',
        'TFSuppressTokensLogitsProcessor',
    ]
    _snake_case     						=						[
        'TFGenerationMixin',
        'tf_top_k_top_p_filtering',
        'TFGreedySearchDecoderOnlyOutput',
        'TFGreedySearchEncoderDecoderOutput',
        'TFSampleEncoderDecoderOutput',
        'TFSampleDecoderOnlyOutput',
        'TFBeamSearchEncoderDecoderOutput',
        'TFBeamSearchDecoderOnlyOutput',
        'TFBeamSampleEncoderDecoderOutput',
        'TFBeamSampleDecoderOnlyOutput',
        'TFContrastiveSearchEncoderDecoderOutput',
        'TFContrastiveSearchDecoderOnlyOutput',
    ]

try:
    if not is_flax_available():
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    pass
else:
    _snake_case     						=						[
        'FlaxForcedBOSTokenLogitsProcessor',
        'FlaxForcedEOSTokenLogitsProcessor',
        'FlaxLogitsProcessor',
        'FlaxLogitsProcessorList',
        'FlaxLogitsWarper',
        'FlaxMinLengthLogitsProcessor',
        'FlaxTemperatureLogitsWarper',
        'FlaxTopKLogitsWarper',
        'FlaxTopPLogitsWarper',
    ]
    _snake_case     						=						[
        'FlaxGenerationMixin',
        'FlaxGreedySearchOutput',
        'FlaxSampleOutput',
        'FlaxBeamSearchOutput',
    ]

if TYPE_CHECKING:
    from .configuration_utils import GenerationConfig
    from .streamers import TextIteratorStreamer, TextStreamer

    try:
        if not is_torch_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .beam_constraints import Constraint, ConstraintListState, DisjunctiveConstraint, PhrasalConstraint
        from .beam_search import BeamHypotheses, BeamScorer, BeamSearchScorer, ConstrainedBeamSearchScorer
        from .logits_process import (
            EncoderNoRepeatNGramLogitsProcessor,
            EncoderRepetitionPenaltyLogitsProcessor,
            EpsilonLogitsWarper,
            EtaLogitsWarper,
            ExponentialDecayLengthPenalty,
            ForcedBOSTokenLogitsProcessor,
            ForcedEOSTokenLogitsProcessor,
            HammingDiversityLogitsProcessor,
            InfNanRemoveLogitsProcessor,
            LogitNormalization,
            LogitsProcessor,
            LogitsProcessorList,
            LogitsWarper,
            MinLengthLogitsProcessor,
            MinNewTokensLengthLogitsProcessor,
            NoBadWordsLogitsProcessor,
            NoRepeatNGramLogitsProcessor,
            PrefixConstrainedLogitsProcessor,
            RepetitionPenaltyLogitsProcessor,
            SequenceBiasLogitsProcessor,
            TemperatureLogitsWarper,
            TopKLogitsWarper,
            TopPLogitsWarper,
            TypicalLogitsWarper,
        )
        from .stopping_criteria import (
            MaxLengthCriteria,
            MaxNewTokensCriteria,
            MaxTimeCriteria,
            StoppingCriteria,
            StoppingCriteriaList,
            validate_stopping_criteria,
        )
        from .utils import (
            BeamSampleDecoderOnlyOutput,
            BeamSampleEncoderDecoderOutput,
            BeamSearchDecoderOnlyOutput,
            BeamSearchEncoderDecoderOutput,
            ContrastiveSearchDecoderOnlyOutput,
            ContrastiveSearchEncoderDecoderOutput,
            GenerationMixin,
            GreedySearchDecoderOnlyOutput,
            GreedySearchEncoderDecoderOutput,
            SampleDecoderOnlyOutput,
            SampleEncoderDecoderOutput,
            top_k_top_p_filtering,
        )

    try:
        if not is_tf_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .tf_logits_process import (
            TFForcedBOSTokenLogitsProcessor,
            TFForcedEOSTokenLogitsProcessor,
            TFForceTokensLogitsProcessor,
            TFLogitsProcessor,
            TFLogitsProcessorList,
            TFLogitsWarper,
            TFMinLengthLogitsProcessor,
            TFNoBadWordsLogitsProcessor,
            TFNoRepeatNGramLogitsProcessor,
            TFRepetitionPenaltyLogitsProcessor,
            TFSuppressTokensAtBeginLogitsProcessor,
            TFSuppressTokensLogitsProcessor,
            TFTemperatureLogitsWarper,
            TFTopKLogitsWarper,
            TFTopPLogitsWarper,
        )
        from .tf_utils import (
            TFBeamSampleDecoderOnlyOutput,
            TFBeamSampleEncoderDecoderOutput,
            TFBeamSearchDecoderOnlyOutput,
            TFBeamSearchEncoderDecoderOutput,
            TFContrastiveSearchDecoderOnlyOutput,
            TFContrastiveSearchEncoderDecoderOutput,
            TFGenerationMixin,
            TFGreedySearchDecoderOnlyOutput,
            TFGreedySearchEncoderDecoderOutput,
            TFSampleDecoderOnlyOutput,
            TFSampleEncoderDecoderOutput,
            tf_top_k_top_p_filtering,
        )

    try:
        if not is_flax_available():
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        pass
    else:
        from .flax_logits_process import (
            FlaxForcedBOSTokenLogitsProcessor,
            FlaxForcedEOSTokenLogitsProcessor,
            FlaxLogitsProcessor,
            FlaxLogitsProcessorList,
            FlaxLogitsWarper,
            FlaxMinLengthLogitsProcessor,
            FlaxTemperatureLogitsWarper,
            FlaxTopKLogitsWarper,
            FlaxTopPLogitsWarper,
        )
        from .flax_utils import FlaxBeamSearchOutput, FlaxGenerationMixin, FlaxGreedySearchOutput, FlaxSampleOutput
else:
    import sys

    _snake_case     						=						_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)








'''simple docstring'''
import requests

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







def       _A	(			snake_case  )    ->			Any:
   # Enter your recaptcha secret key here
   _lowercase    :   Optional[Any]      =     "secretKey"
   _lowercase    :   Union[str, Any]      =     "https://www.google.com/recaptcha/api/siteverify"

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

   # from the frontend, get username, password, and client_key
   _lowercase    :   Optional[int]      =     request.POST.get("username"  )
   _lowercase    :   Tuple      =     request.POST.get("password"  )
   _lowercase    :   Tuple      =     request.POST.get("g-recaptcha-response"  )

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






