



from typing import TYPE_CHECKING

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


_lowerCamelCase         =	{
    """configuration_utils""": ["""GenerationConfig"""],
    """streamers""": ["""TextIteratorStreamer""", """TextStreamer"""],
}

try:
      if not is_torch_available():
            raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
      pass
else:
      _lowerCamelCase         =	[
          """Constraint""",
          """ConstraintListState""",
          """DisjunctiveConstraint""",
          """PhrasalConstraint""",
      ]
      _lowerCamelCase         =	[
          """BeamHypotheses""",
          """BeamScorer""",
          """BeamSearchScorer""",
          """ConstrainedBeamSearchScorer""",
      ]
      _lowerCamelCase         =	[
          """EpsilonLogitsWarper""",
          """EtaLogitsWarper""",
          """ForcedBOSTokenLogitsProcessor""",
          """ForcedEOSTokenLogitsProcessor""",
          """HammingDiversityLogitsProcessor""",
          """InfNanRemoveLogitsProcessor""",
          """LogitsProcessor""",
          """LogitsProcessorList""",
          """LogitsWarper""",
          """MinLengthLogitsProcessor""",
          """MinNewTokensLengthLogitsProcessor""",
          """NoBadWordsLogitsProcessor""",
          """NoRepeatNGramLogitsProcessor""",
          """PrefixConstrainedLogitsProcessor""",
          """RepetitionPenaltyLogitsProcessor""",
          """SequenceBiasLogitsProcessor""",
          """EncoderRepetitionPenaltyLogitsProcessor""",
          """TemperatureLogitsWarper""",
          """TopKLogitsWarper""",
          """TopPLogitsWarper""",
          """TypicalLogitsWarper""",
          """EncoderNoRepeatNGramLogitsProcessor""",
          """ExponentialDecayLengthPenalty""",
          """LogitNormalization""",
      ]
      _lowerCamelCase         =	[
          """MaxNewTokensCriteria""",
          """MaxLengthCriteria""",
          """MaxTimeCriteria""",
          """StoppingCriteria""",
          """StoppingCriteriaList""",
          """validate_stopping_criteria""",
      ]
      _lowerCamelCase         =	[
          """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:
      _lowerCamelCase         =	[
          """TFForcedBOSTokenLogitsProcessor""",
          """TFForcedEOSTokenLogitsProcessor""",
          """TFLogitsProcessor""",
          """TFLogitsProcessorList""",
          """TFLogitsWarper""",
          """TFMinLengthLogitsProcessor""",
          """TFNoBadWordsLogitsProcessor""",
          """TFNoRepeatNGramLogitsProcessor""",
          """TFRepetitionPenaltyLogitsProcessor""",
          """TFTemperatureLogitsWarper""",
          """TFTopKLogitsWarper""",
          """TFTopPLogitsWarper""",
          """TFForceTokensLogitsProcessor""",
          """TFSuppressTokensAtBeginLogitsProcessor""",
          """TFSuppressTokensLogitsProcessor""",
      ]
      _lowerCamelCase         =	[
          """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:
      _lowerCamelCase         =	[
          """FlaxForcedBOSTokenLogitsProcessor""",
          """FlaxForcedEOSTokenLogitsProcessor""",
          """FlaxLogitsProcessor""",
          """FlaxLogitsProcessorList""",
          """FlaxLogitsWarper""",
          """FlaxMinLengthLogitsProcessor""",
          """FlaxTemperatureLogitsWarper""",
          """FlaxTopKLogitsWarper""",
          """FlaxTopPLogitsWarper""",
      ]
      _lowerCamelCase         =	[
          """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

      _lowerCamelCase         =	_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)











def 						_lowerCAmelCase    (					__lowerCamelCase :  int  ):



 """simple docstring"""





 if not isinstance(__lowerCamelCase		,						__lowerCamelCase  ):
  __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						(
      "operation can not be conducted on a object of type "
      F"""{type(__lowerCamelCase  ).__name__}"""
  )
  raise TypeError(__lowerCamelCase  )
 __SCREAMING_SNAKE_CASE							:     List[str]							=						""
 for _ in range(0		,						32  ):
  bit_string += str(number % 2  )
  __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						number >> 1
 return bit_string






def 						_lowerCAmelCase    (					__lowerCamelCase :  int  ):



 """simple docstring"""





 if number < 0:
  raise ValueError("the value of input must be positive"  )
 elif isinstance(__lowerCamelCase		,						__lowerCamelCase  ):
  raise TypeError("Input value must be a 'int' type"  )
 elif isinstance(__lowerCamelCase		,						__lowerCamelCase  ):
  raise TypeError("'<' not supported between instances of 'str' and 'int'"  )
 __SCREAMING_SNAKE_CASE							:     Any							=						0
 # iterator over [1 to 32],since we are dealing with 32 bit integer
 for _ in range(1		,						33  ):
  # left shift the bits by unity
  __SCREAMING_SNAKE_CASE							:     Optional[int]							=						result << 1
  # get the end bit
  __SCREAMING_SNAKE_CASE							:     Union[str, Any]							=						number % 2
  # right shift the bits by unity
  __SCREAMING_SNAKE_CASE							:     Optional[Any]							=						number >> 1
  # add that bit to our ans
  __SCREAMING_SNAKE_CASE							:     Optional[int]							=						result | end_bit
 return get_reverse_bit_string(__lowerCamelCase  )


if __name__ == "__main__":
      import doctest

      doctest.testmod()






