from typing import TYPE_CHECKING

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


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

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

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







'''simple docstring'''







from __future__ import annotations

# Define the Gravitational Constant G and the function
a__    :   Optional[int]								=			6.67_43E-11  # unit of G : m^3 * kg^-1 * s^-2







def _UpperCamelCase			(	__A ,     __A ,     __A ,     __A       )				->						dict[str, float]:


      '''simple docstring'''



      UpperCamelCase__      =							mass_a * mass_a

      if (force, mass_a, mass_a, distance).count(0       ) != 1:
            raise ValueError("One and only one argument must be 0"       )
      if force < 0:
            raise ValueError("Gravitational force can not be negative"       )
      if distance < 0:
            raise ValueError("Distance can not be negative"       )
      if mass_a < 0 or mass_a < 0:
            raise ValueError("Mass can not be negative"       )
      if force == 0:
            UpperCamelCase__      =							GRAVITATIONAL_CONSTANT * product_of_mass / (distance**2)
            return {"force": force}
      elif mass_a == 0:
            UpperCamelCase__      =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
            return {"mass_1": mass_a}
      elif mass_a == 0:
            UpperCamelCase__      =							(force) * (distance**2) / (GRAVITATIONAL_CONSTANT * mass_a)
            return {"mass_2": mass_a}
      elif distance == 0:
            UpperCamelCase__      =							(GRAVITATIONAL_CONSTANT * product_of_mass / (force)) ** 0.5
            return {"distance": distance}
      raise ValueError("One and only one argument must be 0"       )


# Run doctest
if __name__ == "__main__":
  import doctest

  doctest.testmod()





