






from typing import TYPE_CHECKING

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


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

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

							lowercase     :							Union[str, Any]	     =			_LazyModule(__name__, globals()['''__file__'''], _import_structure, module_spec=__spec__)








from __future__ import annotations

from collections.abc import Generator

def    lowerCAmelCase__		(			_a				:	int			):
		if not isinstance(_a     ,					_a			) or n < 1:
				raise Exception("Sequence only defined for positive integers"			)

		yield n
		while n != 1:
				if n % 2 == 0:
						n //= 2
				else:
						snake_case_ :							List[str]         =				3 * n + 1
				yield n

def    lowerCAmelCase__		(			):
		snake_case_ :							Optional[int]         =				43
		snake_case_ :							Union[str, Any]         =				tuple(collatz_sequence(_a			)			)
		print(_a			)
		print(F'''Collatz sequence from {n} took {len(_a			)} steps.'''			)


if __name__ == "__main__":
							main()
