

import importlib.metadata
import sys

from transformers.testing_utils import TestCasePlus
from transformers.utils.versions import require_version, require_version_core


SCREAMING_SNAKE_CASE_						=					importlib.metadata.version('numpy')
SCREAMING_SNAKE_CASE_						=					'.'.join([str(x) for x in sys.version_info[:3]])

class  a     (		UpperCAmelCase ):


						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										require_version_core("numpy<1000.4.5"		)
										require_version_core("numpy<1000.4"		)
										require_version_core("numpy<1000"		)

										# le
										require_version_core("numpy<=1000.4.5"		)
										require_version_core(f'numpy<={numpy_ver}'		)

										# eq
										require_version_core(f'numpy=={numpy_ver}'		)

										# ne
										require_version_core("numpy!=1000.4.5"		)

										# ge
										require_version_core("numpy>=1.0"		)
										require_version_core("numpy>=1.0.0"		)
										require_version_core(f'numpy>={numpy_ver}'		)

										# gt
										require_version_core("numpy>1.0.0"		)

										# mix
										require_version_core("numpy>1.0.0,<1000"		)

										# requirement w/o version
										require_version_core("numpy"		)

										# unmet requirements due to version conflict
										for req in ["numpy==1.0.0", "numpy>=1000.0.0", f'numpy<{numpy_ver}']:
														try:
																		require_version_core(A_		)
														except ImportError as e:
																		self.assertIn(f'{req} is required'  ,    str(A_		)		)
																		self.assertIn("but found"  ,    str(A_		)		)

        # unmet requirements due to missing module
										for req in ["numpipypie>1", "numpipypie2"]:
														try:
																		require_version_core(A_		)
														except importlib.metadata.PackageNotFoundError as e:
																		self.assertIn(f'The \'{req}\' distribution was not found and is required by this application'  ,    str(A_		)		)
																		self.assertIn("Try: pip install transformers -U"  ,    str(A_		)		)

        # bogus requirements formats:
        # 1. whole thing
										for req in ["numpy??1.0.0", "numpy1.0.0"]:
														try:
																		require_version_core(A_		)
														except ValueError as e:
																		self.assertIn("requirement needs to be in the pip package format"  ,    str(A_		)		)
        # 2. only operators
										for req in ["numpy=1.0.0", "numpy == 1.00", "numpy<>1.0.0", "numpy><1.00", "numpy>>1.0.0"]:
														try:
																		require_version_core(A_		)
														except ValueError as e:
																		self.assertIn("need one of "  ,    str(A_		)		)





						def 				_UpperCAmelCase (				self		):







										'''simple docstring'''


										require_version("python>=3.6.0"		)

										# not matching requirements
										for req in ["python>9.9.9", "python<3.0.0"]:
														try:
																		require_version_core(A_		)
														except ImportError as e:
																		self.assertIn(f'{req} is required'  ,    str(A_		)		)
																		self.assertIn(f'but found python=={python_ver}'  ,    str(A_		)		)





from __future__ import annotations

class  a     :


						def __init__(				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						List[Any]       						=			vertices
										_UpperCAmelCase				:						List[str]       						=			[[0] * vertices for _ in range(A_		)]


						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										print("Vertex \t Distance from Source"		)
										for vertex in range(self.vertices		):
														print(A_  ,    "\t\t"  ,    distances_from_source[vertex]		)


						def 				_UpperCAmelCase (				self  ,    A_  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Tuple       						=			1e7
										_UpperCAmelCase				:						Any       						=			0

										# Search not nearest vertex not in the shortest path tree
										for vertex in range(self.vertices		):
														if distances_from_source[vertex] < minimum and visited[vertex] is False:
																		_UpperCAmelCase				:						List[Any]       						=			distances_from_source[vertex]
																		_UpperCAmelCase				:						Tuple       						=			vertex
										return min_index





						def 				_UpperCAmelCase (				self  ,    A_		):







										'''simple docstring'''


										_UpperCAmelCase				:						Union[str, Any]       						=			[int(1e7		)] * self.vertices  # distances from the source
										_UpperCAmelCase				:						Optional[Any]       						=			0
										_UpperCAmelCase				:						List[str]       						=			[False] * self.vertices

										for _ in range(self.vertices		):
														_UpperCAmelCase				:						str       						=			self.minimum_distance(A_  ,    A_		)
														_UpperCAmelCase				:						str       						=			True

														# Update dist value of the adjacent vertices
														# of the picked vertex only if the current
														# distance is greater than new distance and
														# the vertex in not in the shortest path tree
														for v in range(self.vertices		):
																		if (
																		    self.graph[u][v] > 0
																		    and visited[v] is False
																		    and distances[v] > distances[u] + self.graph[u][v]
																		):
																						_UpperCAmelCase				:						str       						=			distances[u] + self.graph[u][v]

										self.print_solution(A_		)


if __name__ == "__main__":
					SCREAMING_SNAKE_CASE_						=					Graph(9)
					SCREAMING_SNAKE_CASE_						=					[
					    [0, 4, 0, 0, 0, 0, 0, 8, 0],
					    [4, 0, 8, 0, 0, 0, 0, 11, 0],
					    [0, 8, 0, 7, 0, 4, 0, 0, 2],
					    [0, 0, 7, 0, 9, 14, 0, 0, 0],
					    [0, 0, 0, 9, 0, 10, 0, 0, 0],
					    [0, 0, 4, 14, 10, 0, 2, 0, 0],
					    [0, 0, 0, 0, 0, 2, 0, 1, 6],
					    [8, 11, 0, 0, 0, 0, 1, 0, 7],
					    [0, 0, 2, 0, 0, 0, 6, 7, 0],
					]
					graph.dijkstra(0)


