

from typing import TYPE_CHECKING

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


lowerCAmelCase							:						Optional[Any]     			=		{
    """configuration_utils""": ["""GenerationConfig"""],
    """streamers""": ["""TextIteratorStreamer""", """TextStreamer"""],
}

try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						lowerCAmelCase							:						Union[str, Any]     			=		[
						    """Constraint""",
						    """ConstraintListState""",
						    """DisjunctiveConstraint""",
						    """PhrasalConstraint""",
						]
						lowerCAmelCase							:						Optional[int]     			=		[
						    """BeamHypotheses""",
						    """BeamScorer""",
						    """BeamSearchScorer""",
						    """ConstrainedBeamSearchScorer""",
						]
						lowerCAmelCase							:						Any     			=		[
						    """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							:						int     			=		[
						    """MaxNewTokensCriteria""",
						    """MaxLengthCriteria""",
						    """MaxTimeCriteria""",
						    """StoppingCriteria""",
						    """StoppingCriteriaList""",
						    """validate_stopping_criteria""",
						]
						lowerCAmelCase							:						Dict     			=		[
						    """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							:						Optional[Any]     			=		[
						    """TFForcedBOSTokenLogitsProcessor""",
						    """TFForcedEOSTokenLogitsProcessor""",
						    """TFLogitsProcessor""",
						    """TFLogitsProcessorList""",
						    """TFLogitsWarper""",
						    """TFMinLengthLogitsProcessor""",
						    """TFNoBadWordsLogitsProcessor""",
						    """TFNoRepeatNGramLogitsProcessor""",
						    """TFRepetitionPenaltyLogitsProcessor""",
						    """TFTemperatureLogitsWarper""",
						    """TFTopKLogitsWarper""",
						    """TFTopPLogitsWarper""",
						    """TFForceTokensLogitsProcessor""",
						    """TFSuppressTokensAtBeginLogitsProcessor""",
						    """TFSuppressTokensLogitsProcessor""",
						]
						lowerCAmelCase							:						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:
						lowerCAmelCase							:						Union[str, Any]     			=		[
						    """FlaxForcedBOSTokenLogitsProcessor""",
						    """FlaxForcedEOSTokenLogitsProcessor""",
						    """FlaxLogitsProcessor""",
						    """FlaxLogitsProcessorList""",
						    """FlaxLogitsWarper""",
						    """FlaxMinLengthLogitsProcessor""",
						    """FlaxTemperatureLogitsWarper""",
						    """FlaxTopKLogitsWarper""",
						    """FlaxTopPLogitsWarper""",
						]
						lowerCAmelCase							:						Dict     			=		[
						    """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							:						str     			=		_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)









import heapq







def     A_   (					_UpperCAmelCase       ,			_UpperCAmelCase       ,			_UpperCAmelCase					):
						SCREAMING_SNAKE_CASE_:				List[Any]							= [(0, start)]  # cost from start node,end node
						SCREAMING_SNAKE_CASE_:				Any							= set()
						while heap:
												((SCREAMING_SNAKE_CASE_)	,					(SCREAMING_SNAKE_CASE_)):				Tuple							= heapq.heappop(_UpperCAmelCase					)
												if u in visited:
																		continue
												visited.add(_UpperCAmelCase					)
												if u == end:
																		return cost
												for v, c in graph[u]:
																		if v in visited:
																								continue
																		SCREAMING_SNAKE_CASE_:				List[str]							= cost + c
																		heapq.heappush(_UpperCAmelCase       ,			(next_item, v)					)
						return -1


lowerCAmelCase							:						Optional[Any]     			=		{
    """A""": [["""B""", 2], ["""C""", 5]],
    """B""": [["""A""", 2], ["""D""", 3], ["""E""", 1], ["""F""", 1]],
    """C""": [["""A""", 5], ["""F""", 3]],
    """D""": [["""B""", 3]],
    """E""": [["""B""", 4], ["""F""", 3]],
    """F""": [["""C""", 3], ["""E""", 3]],
}
lowerCAmelCase							:						Tuple     			=		{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""F""", 3]],
    """F""": [],
}
lowerCAmelCase							:						str     			=		{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}

lowerCAmelCase							:						Union[str, Any]     			=		dijkstra(G, """E""", """C""")
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

lowerCAmelCase							:						Tuple     			=		dijkstra(Ga, """E""", """F""")
print(short_distance)  # E -- 3 --> F == 3

lowerCAmelCase							:						Union[str, Any]     			=		dijkstra(Ga, """E""", """F""")
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
						import doctest

						doctest.testmod()






