



"""simple docstring"""
import heapq



def 				lowerCAmelCase_(      lowercase_   :							Union[str, Any]  ,      lowercase_   :							Optional[int]  ,      lowercase_   :							Any							)		->				List[Any]:
				_lowerCamelCase					     = [(0, start)]  # cost from start node,end node
				_lowerCamelCase					     = set()
				while heap:
								((_lowerCamelCase)     ,   (_lowerCamelCase))					     = heapq.heappop(lowercase_							)
								if u in visited:
												continue
								visited.add(lowercase_							)
								if u == end:
												return cost
								for v, c in graph[u]:
												if v in visited:
																continue
												_lowerCamelCase					     = cost + c
												heapq.heappush(lowercase_  ,      (next_item, v)							)
				return -1


__SCREAMING_SNAKE_CASE     :  List[str]										=					{
    """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]],
}
__SCREAMING_SNAKE_CASE     :  Any										=					{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""F""", 3]],
    """F""": [],
}
__SCREAMING_SNAKE_CASE     :  Dict										=					{
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}

__SCREAMING_SNAKE_CASE     :  str										=					dijkstra(G, '''E''', '''C''')
print(short_distance)  # E -- 3 --> F -- 3 --> C == 6

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

__SCREAMING_SNAKE_CASE     :  Optional[Any]										=					dijkstra(Ga, '''E''', '''F''')
print(short_distance)  # E -- 2 --> G -- 1 --> F == 3

if __name__ == "__main__":
			import doctest

			doctest.testmod()







'''simple docstring'''







import json
import os
import tempfile

import datasets
from datasets.arrow_writer import ArrowWriter
from datasets.features import ArrayaD
from utils import generate_examples, get_duration


_a					: Dict      =    (3_0, 4_8_7)
_a					: int      =    (3_6, 1_0_2_4)
_a					: str      =    (1_0_0, 1_0_0)
_a					: Tuple      =    1_0_0

_a					: List[str]      =    datasets.Features(
    {"""text""": ArrayaD(SHAPE_TEST_1, dtype="""float32"""), """image""": ArrayaD(SHAPE_TEST_2, dtype="""float32""")}
)

_a    ,_a					: Optional[int]      =    os.path.split(__file__)
_a					: List[Any]      =    os.path.join(RESULTS_BASEPATH, """results""", RESULTS_FILENAME.replace(""".py""", """.json"""))





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase					,	lowercase	)					->					Optional[Any]:
			with ArrowWriter(features=lowercase					,	path=os.path.join(lowercase					,	"""beta.arrow"""	)	) as writer:
						for key, record in dummy_data:
									__lowerCAmelCase											=				my_features.encode_example(lowercase	)
									writer.write(lowercase	)
						__lowerCAmelCase						,       __lowerCAmelCase											=				writer.finalize()





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					List[str]:
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			for _ in dataset:
						pass





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					Any:
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			dataset.set_format("""numpy"""	)
			for _ in dataset:
						pass





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					List[str]:
			__lowerCAmelCase											=				10
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			for i in range(0					,	len(lowercase	)					,	lowercase	):
						__lowerCAmelCase											=				dataset[i : i + batch_size]





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					List[str]:
			__lowerCAmelCase											=				10
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			dataset.set_format("""numpy"""	)
			for i in range(0					,	len(lowercase	)					,	lowercase	):
						__lowerCAmelCase											=				dataset[i : i + batch_size]





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					Union[str, Any]:
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			for col in feats:
						__lowerCAmelCase											=				dataset[col]





@get_duration
def    _lowerCAmelCase						(						lowercase					,	lowercase	)					->					Optional[int]:
			__lowerCAmelCase											=				datasets.Dataset.from_file(
			    filename=os.path.join(lowercase					,	"""beta.arrow"""	)					,	info=datasets.DatasetInfo(features=lowercase	)	)
			dataset.set_format("""numpy"""	)
			for col in feats:
						__lowerCAmelCase											=				dataset[col]





def    _lowerCAmelCase						(						)					->					Optional[Any]:
			__lowerCAmelCase											=				{}
			__lowerCAmelCase											=				(
			    read_unformated,
			    read_formatted_as_numpy,
			    read_batch_unformated,
			    read_batch_formatted_as_numpy,
			    read_col_unformated,
			    read_col_formatted_as_numpy,
			)
			with tempfile.TemporaryDirectory() as tmp_dir:
						__lowerCAmelCase											=				datasets.Features({"""image""": ArrayaD(lowercase					,	dtype="""float32"""	)}	)
						__lowerCAmelCase											=				generate_examples(features=lowercase					,	num_examples=lowercase	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				read_func(lowercase					,	lowercase	)

			with tempfile.TemporaryDirectory() as tmp_dir:
						# don't use fixed length for fair comparison
						# feats = datasets.Features(
						#     {"image": datasets.Sequence(datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[1]), SPEED_TEST_SHAPE[0])}
						# )
						__lowerCAmelCase											=				datasets.Features({"""image""": datasets.Sequence(datasets.Sequence(datasets.Value("""float32"""	)	)	)}	)
						__lowerCAmelCase											=				generate_examples(
						    features=lowercase					,	num_examples=lowercase					,	seq_shapes={"""image""": SPEED_TEST_SHAPE}	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				read_func(lowercase					,	lowercase	)

			with tempfile.TemporaryDirectory() as tmp_dir:
						# don't use fixed length for fair comparison
						# feats = datasets.Features(
						#     {"image": datasets.Sequence(datasets.Value("float32"), SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1])}
						# )
						__lowerCAmelCase											=				datasets.Features({"""image""": datasets.Sequence(datasets.Value("""float32"""	)	)}	)
						__lowerCAmelCase											=				generate_examples(
						    features=lowercase					,	num_examples=lowercase					,	seq_shapes={"""image""": [SPEED_TEST_SHAPE[0] * SPEED_TEST_SHAPE[1]]}					,	)
						__lowerCAmelCase											=				write(lowercase					,	lowercase					,	lowercase	)
						for read_func in read_functions:
									__lowerCAmelCase											=				read_func(lowercase					,	lowercase	)

			with open(lowercase					,	"""wb"""	) as f:
						f.write(json.dumps(lowercase	).encode("""utf-8"""	)	)


if __name__ == "__main__":  # useful to run the profiler
	benchmark_array_xd()

