


'''simple docstring'''



from __future__ import annotations

_lowercase    :    int			     =  {
    """A""": ["""B""", """C""", """E"""],
    """B""": ["""A""", """D""", """E"""],
    """C""": ["""A""", """F""", """G"""],
    """D""": ["""B"""],
    """E""": ["""A""", """B""", """D"""],
    """F""": ["""C"""],
    """G""": ["""C"""],
}






class  UpperCamelCase__:




				def __init__(	self    :				Tuple   ,					lowerCAmelCase    :				Dict   ,					lowerCAmelCase    :				Optional[Any]   )->  Tuple:

										"""simple docstring"""




										UpperCAmelCase         =			graph
										# mapping node to its parent in resulting breadth first tree
										UpperCAmelCase         =			{}
										UpperCAmelCase         =			source_vertex




				def   a__(	self    :				Optional[Any]   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase         =			{self.source_vertex}
										UpperCAmelCase         =			None
										UpperCAmelCase         =			[self.source_vertex]  # first in first out queue

										while queue:
																UpperCAmelCase         =			queue.pop(0   )
																for adjacent_vertex in self.graph[vertex]:
																						if adjacent_vertex not in visited:
																												visited.add(lowerCAmelCase   )
																												UpperCAmelCase         =			vertex
																												queue.append(lowerCAmelCase   )





				def   a__(	self    :				Any   ,					lowerCAmelCase    :				List[Any]   )->  Union[str, Any]:

										"""simple docstring"""




										if target_vertex == self.source_vertex:
																return self.source_vertex

										UpperCAmelCase         =			self.parent.get(lowerCAmelCase   )
										if target_vertex_parent is None:
																UpperCAmelCase         =			(
																    F"""No path from vertex: {self.source_vertex} to vertex: {target_vertex}"""
																)
																raise ValueError(lowerCAmelCase   )

										return self.shortest_path(lowerCAmelCase   ) + F"""->{target_vertex}"""


if __name__ == "__main__":
						_lowercase    :    Tuple			     =  Graph(graph, """G""")
						g.breath_first_search()
						print(g.shortest_path("""D"""))
						print(g.shortest_path("""G"""))
						print(g.shortest_path("""Foo"""))









'''simple docstring'''



import time
import unittest

from transformers import is_torch_available
from transformers.testing_utils import require_torch, torch_device

from ..test_modeling_common import ids_tensor


if is_torch_available():
	import torch

	from transformers.generation import (
	    MaxLengthCriteria,
	    MaxNewTokensCriteria,
	    MaxTimeCriteria,
	    StoppingCriteriaList,
	    validate_stopping_criteria,
	)






@require_torch
class  UpperCamelCase__(     unittest.TestCase ):




				def   a__(	self    :				List[Any]   ,					lowerCAmelCase    :				Optional[Any]   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase         =			3
										UpperCAmelCase         =			250

										UpperCAmelCase         =			ids_tensor((batch_size, length)   ,					lowerCAmelCase   )
										UpperCAmelCase         =			torch.ones((batch_size, length)   ,					device=lowerCAmelCase   ,					dtype=torch.float   ) / length
										return input_ids, scores




				def   a__(	self    :				Dict   )->  Optional[int]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			StoppingCriteriaList(
										    [
										        MaxLengthCriteria(max_length=10   ),
										        MaxTimeCriteria(max_time=0.1   ),
										    ]   )

										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Union[str, Any]   )->  Union[str, Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxLengthCriteria(max_length=10   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )




				def   a__(	self    :				Optional[Any]   )->  List[Any]:

										"""simple docstring"""




										UpperCAmelCase         =			MaxNewTokensCriteria(start_length=5   ,					max_new_tokens=5   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(9   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(10   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			StoppingCriteriaList([criteria]   )
										self.assertEqual(criteria_list.max_length   ,					10   )




				def   a__(	self    :				Tuple   )->  Optional[Any]:

										"""simple docstring"""




										UpperCAmelCase       ,       UpperCAmelCase         =			self._get_tensors(5   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   )
										self.assertFalse(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )

										UpperCAmelCase         =			MaxTimeCriteria(max_time=0.1   ,					initial_timestamp=time.time() - 0.2   )
										self.assertTrue(criteria(lowerCAmelCase   ,					lowerCAmelCase   )   )





				def   a__(	self    :				int   )->  Any:

										"""simple docstring"""




										validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )   ,					10   )

										with self.assertWarns(lowerCAmelCase   ):
																validate_stopping_criteria(StoppingCriteriaList([MaxLengthCriteria(10   )]   )   ,					11   )

										UpperCAmelCase         =			validate_stopping_criteria(StoppingCriteriaList()   ,					11   )

										self.assertEqual(len(lowerCAmelCase   )   ,					1   )





