
"""simple docstring"""


import math
import sys

class    A_     :



							"""simple docstring"""






							def __init__(  self  :Tuple	):





										"""simple docstring"""

										lowerCamelCase__     :					List[str]		=0
										lowerCamelCase__     :					Optional[Any]		=[]
										lowerCamelCase__     :					str		={}  # To store the pos of node in array





							def 				UpperCAmelCase__							(  self  :List[Any]	):





										"""simple docstring"""

										return self.cur_size == 0





							def 				UpperCAmelCase__							(  self  :Any					,							lowerCamelCase_  :int	):





										"""simple docstring"""

										lowerCamelCase__     :					List[Any]		=self.left(lowerCamelCase_	)
										lowerCamelCase__     :					Tuple		=self.right(lowerCamelCase_	)
										if lc < self.cur_size and self.array(lowerCamelCase_	)[0] < self.array(lowerCamelCase_	)[0]:
													lowerCamelCase__     :					Dict		=lc
										else:
													lowerCamelCase__     :					Union[str, Any]		=idx
										if rc < self.cur_size and self.array(lowerCamelCase_	)[0] < self.array(lowerCamelCase_	)[0]:
													lowerCamelCase__     :					Optional[Any]		=rc
										if smallest != idx:
													self.swap(lowerCamelCase_					,							lowerCamelCase_	)
													self.min_heapify(lowerCamelCase_	)





							def 				UpperCAmelCase__							(  self  :int					,							lowerCamelCase_  :int	):





										"""simple docstring"""

										lowerCamelCase__     :					Dict		=self.cur_size
										self.cur_size += 1
										self.array.append((sys.maxsize, tup[1])	)
										self.decrease_key((sys.maxsize, tup[1])					,							tup[0]	)





							def 				UpperCAmelCase__							(  self  :List[str]	):





										"""simple docstring"""

										lowerCamelCase__     :					int		=self.array[0][1]
										lowerCamelCase__     :					Any		=self.array[self.cur_size - 1]
										self.cur_size -= 1
										self.min_heapify(1	)
										del self.pos[min_node]
										return min_node





							def 				UpperCAmelCase__							(  self  :Union[str, Any]					,							lowerCamelCase_  :Union[str, Any]	):





										"""simple docstring"""

										return 2 * i + 1





							def 				UpperCAmelCase__							(  self  :Tuple					,							lowerCamelCase_  :Tuple	):





										"""simple docstring"""

										return 2 * i + 2





							def 				UpperCAmelCase__							(  self  :List[str]					,							lowerCamelCase_  :Dict	):





										"""simple docstring"""

										return math.floor(i / 2	)





							def 				UpperCAmelCase__							(  self  :Union[str, Any]					,							lowerCamelCase_  :Any					,							lowerCamelCase_  :Union[str, Any]	):





										"""simple docstring"""

										lowerCamelCase__     :					Tuple		=j
										lowerCamelCase__     :					Any		=i
										lowerCamelCase__     :					List[str]		=self.array[i]
										lowerCamelCase__     :					List[Any]		=self.array[j]
										lowerCamelCase__     :					List[str]		=temp





							def 				UpperCAmelCase__							(  self  :Tuple					,							lowerCamelCase_  :Optional[Any]					,							lowerCamelCase_  :int	):





										"""simple docstring"""

										lowerCamelCase__     :					Dict		=self.pos[tup[1]]
										# assuming the new_d is atmost old_d
										lowerCamelCase__     :					Any		=(new_d, tup[1])
										while idx > 0 and self.array[self.par(lowerCamelCase_	)][0] > self.array[idx][0]:
													self.swap(lowerCamelCase_					,							self.par(lowerCamelCase_	)	)
													lowerCamelCase__     :					List[str]		=self.par(lowerCamelCase_	)






class    A_     :



							"""simple docstring"""






							def __init__(  self  :Optional[Any]					,							lowerCamelCase_  :List[str]	):





										"""simple docstring"""

										lowerCamelCase__     :					Optional[Any]		={}  # To store graph: u -> (v,w)
										lowerCamelCase__     :					Union[str, Any]		=num  # Number of nodes in graph
										# To store the distance from source vertex
										lowerCamelCase__     :					Tuple		=[0] * self.num_nodes
										lowerCamelCase__     :					Any		=[-1] * self.num_nodes  # To store the path





							def 				UpperCAmelCase__							(  self  :str					,							lowerCamelCase_  :List[Any]					,							lowerCamelCase_  :int					,							lowerCamelCase_  :Optional[int]	):





										"""simple docstring"""

										if u in self.adjList:
													self.adjList[u].append((v, w)	)
										else:
													lowerCamelCase__     :					Optional[int]		=[(v, w)]

										# Assuming undirected graph
										if v in self.adjList:
													self.adjList[v].append((u, w)	)
										else:
													lowerCamelCase__     :					Tuple		=[(u, w)]





							def 				UpperCAmelCase__							(  self  :Any	):





										"""simple docstring"""

										for u in self.adjList:
													print(lowerCamelCase_					,							'->'					,							' -> '.join(str(f"""{v}({w})"""	) for v, w in self.adjList[u]	)	)





							def 				UpperCAmelCase__							(  self  :str					,							lowerCamelCase_  :Optional[int]	):





										"""simple docstring"""

										lowerCamelCase__     :					Tuple		=[-1] * self.num_nodes
										# src is the source node
										lowerCamelCase__     :					str		=0
										lowerCamelCase__     :					List[str]		=PriorityQueue()
										q.insert((0, src)	)  # (dist from src, node)
										for u in self.adjList:
													if u != src:
																lowerCamelCase__     :					Dict		=sys.maxsize  # Infinity
																lowerCamelCase__     :					str		=-1

										while not q.is_empty():
													lowerCamelCase__     :					Dict		=q.extract_min()  # Returns node with the min dist from source
													# Update the distance of all the neighbours of u and
													# if their prev dist was INFINITY then push them in Q
													for v, w in self.adjList[u]:
																lowerCamelCase__     :					Tuple		=self.dist[u] + w
																if self.dist[v] > new_dist:
																			if self.dist[v] == sys.maxsize:
																						q.insert((new_dist, v)	)
																			else:
																						q.decrease_key((self.dist[v], v)					,							lowerCamelCase_	)
																			lowerCamelCase__     :					Tuple		=new_dist
																			lowerCamelCase__     :					Tuple		=u

        # Show the shortest distances from src
										self.show_distances(lowerCamelCase_	)





							def 				UpperCAmelCase__							(  self  :List[Any]					,							lowerCamelCase_  :Union[str, Any]	):





										"""simple docstring"""

										print(f"""Distance from node: {src}"""	)
										for u in range(self.num_nodes	):
													print(f"""Node {u} has distance: {self.dist[u]}"""	)





							def 				UpperCAmelCase__							(  self  :Any					,							lowerCamelCase_  :Union[str, Any]					,							lowerCamelCase_  :List[Any]	):





										"""simple docstring"""

										lowerCamelCase__     :					Tuple		=[]
										lowerCamelCase__     :					Optional[Any]		=0
										lowerCamelCase__     :					Dict		=dest
										# Backtracking from dest to src
										while self.par[temp] != -1:
													path.append(lowerCamelCase_	)
													if temp != src:
																for v, w in self.adjList[temp]:
																			if v == self.par[temp]:
																						cost += w
																						break
													lowerCamelCase__     :					Tuple		=self.par[temp]
										path.append(lowerCamelCase_	)
										path.reverse()

										print(f"""----Path to reach {dest} from {src}----"""	)
										for u in path:
													print(f"""{u}"""					,							end=' '	)
													if u != dest:
																print('-> '					,							end=''	)

										print('\nTotal cost of path: '					,							lowerCamelCase_	)


if __name__ == "__main__":
							lowerCAmelCase								=						Graph(9)
							graph.add_edge(0, 1, 4)
							graph.add_edge(0, 7, 8)
							graph.add_edge(1, 2, 8)
							graph.add_edge(1, 7, 11)
							graph.add_edge(2, 3, 7)
							graph.add_edge(2, 8, 2)
							graph.add_edge(2, 5, 4)
							graph.add_edge(3, 4, 9)
							graph.add_edge(3, 5, 14)
							graph.add_edge(4, 5, 10)
							graph.add_edge(5, 6, 2)
							graph.add_edge(6, 7, 1)
							graph.add_edge(6, 8, 6)
							graph.add_edge(7, 8, 7)
							graph.show_graph()
							graph.dijkstra(0)
							graph.show_path(0, 4)

# OUTPUT
# 0 -> 1(4) -> 7(8)
# 1 -> 0(4) -> 2(8) -> 7(11)
# 7 -> 0(8) -> 1(11) -> 6(1) -> 8(7)
# 2 -> 1(8) -> 3(7) -> 8(2) -> 5(4)
# 3 -> 2(7) -> 4(9) -> 5(14)
# 8 -> 2(2) -> 6(6) -> 7(7)
# 5 -> 2(4) -> 3(14) -> 4(10) -> 6(2)
# 4 -> 3(9) -> 5(10)
# 6 -> 5(2) -> 7(1) -> 8(6)
# Distance from node: 0
# Node 0 has distance: 0
# Node 1 has distance: 4
# Node 2 has distance: 12
# Node 3 has distance: 19
# Node 4 has distance: 21
# Node 5 has distance: 11
# Node 6 has distance: 9
# Node 7 has distance: 8
# Node 8 has distance: 14
# ----Path to reach 4 from 0----
# 0 -> 7 -> 6 -> 5 -> 4
# Total cost of path:  21

"""simple docstring"""


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available


lowerCAmelCase								=						{
    """configuration_mobilenet_v1""": [
        """MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP""",
        """MobileNetV1Config""",
        """MobileNetV1OnnxConfig""",
    ],
}

try:
							if not is_vision_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						["""MobileNetV1FeatureExtractor"""]
							lowerCAmelCase								=						["""MobileNetV1ImageProcessor"""]

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							lowerCAmelCase								=						[
							    """MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST""",
							    """MobileNetV1ForImageClassification""",
							    """MobileNetV1Model""",
							    """MobileNetV1PreTrainedModel""",
							    """load_tf_weights_in_mobilenet_v1""",
							]


if TYPE_CHECKING:
							from .configuration_mobilenet_va import (
							    MOBILENET_V1_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    MobileNetVaConfig,
							    MobileNetVaOnnxConfig,
							)

							try:
														if not is_vision_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .feature_extraction_mobilenet_va import MobileNetVaFeatureExtractor
														from .image_processing_mobilenet_va import MobileNetVaImageProcessor

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_mobilenet_va import (
														    MOBILENET_V1_PRETRAINED_MODEL_ARCHIVE_LIST,
														    MobileNetVaForImageClassification,
														    MobileNetVaModel,
														    MobileNetVaPreTrainedModel,
														    load_tf_weights_in_mobilenet_va,
														)


else:
							import sys

							lowerCAmelCase								=						_LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)