

import argparse
import os
import re


# All paths are set with the intent you should run this script from the root of the repo with the command
# python utils/check_dummies.py
lowerCAmelCase__             =		"""src/transformers"""

# Matches is_xxx_available()
lowerCAmelCase__             =		re.compile(R"""is\_([a-z_]*)_available()""")
# Matches from xxx import bla
lowerCAmelCase__             =		re.compile(R"""\s+from\s+\S*\s+import\s+([^\(\s].*)\n""")
lowerCAmelCase__             =		re.compile(R"""^\s+if\s+not\s+\(?is\_[a-z_]*\_available\(\)""")


lowerCAmelCase__             =		"""
{0} = None
"""

lowerCAmelCase__             =		"""
class {0}(metaclass=DummyObject):
    _backends = {1}

    def __init__(self, *args, **kwargs):
        requires_backends(self, {1})
"""


lowerCAmelCase__             =		"""
def {0}(*args, **kwargs):
    requires_backends({0}, {1})
"""






def        lowerCamelCase_  (				UpperCAmelCase_				:  int						)    ->					List[str]:




	'''simple docstring'''




	if _re_test_backend.search(UpperCAmelCase__						) is None:
		return None
	_UpperCamelCase :		Union[str, Any]								=    [b[0] for b in _re_backend.findall(UpperCAmelCase__						)]
	backends.sort()
	return "_and_".join(UpperCAmelCase__						)






def        lowerCamelCase_  (				)    ->					List[str]:




	'''simple docstring'''




	with open(os.path.join(UpperCAmelCase__				,							'__init__.py'						)				,							'r'				,							encoding='utf-8'				,							newline='\n'						) as f:
		_UpperCamelCase :		str								=    f.readlines()

	# Get to the point we do the actual imports for type checking
	_UpperCamelCase :		Dict								=    0
	while not lines[line_index].startswith('if TYPE_CHECKING'						):
		line_index += 1

	_UpperCamelCase :		Dict								=    {}
	# Go through the end of the file
	while line_index < len(UpperCAmelCase__						):
		# If the line is an if is_backend_available, we grab all objects associated.
		_UpperCamelCase :		List[Any]								=    find_backend(lines[line_index]						)
		if backend is not None:
			while not lines[line_index].startswith('    else:'						):
				line_index += 1
			line_index += 1

			_UpperCamelCase :		Optional[int]								=    []
			# Until we unindent, add backend objects to the list
			while len(lines[line_index]						) <= 1 or lines[line_index].startswith(' ' * 8						):
				_UpperCamelCase :		Dict								=    lines[line_index]
				_UpperCamelCase :		int								=    _re_single_line_import.search(UpperCAmelCase__						)
				if single_line_import_search is not None:
					objects.extend(single_line_import_search.groups()[0].split(', '						)						)
				elif line.startswith(' ' * 1_2						):
					objects.append(line[1_2:-2]						)
				line_index += 1

			_UpperCamelCase :		Optional[Any]								=    objects
		else:
			line_index += 1

	return backend_specific_objects






def        lowerCamelCase_  (				UpperCAmelCase_				:  List[Any]				,							UpperCAmelCase_				:  List[str]						)    ->					int:




	'''simple docstring'''




	if name.isupper():
		return DUMMY_CONSTANT.format(UpperCAmelCase__						)
	elif name.islower():
		return DUMMY_FUNCTION.format(UpperCAmelCase__				,							UpperCAmelCase__						)
	else:
		return DUMMY_CLASS.format(UpperCAmelCase__				,							UpperCAmelCase__						)






def        lowerCamelCase_  (				UpperCAmelCase_				:  int=None						)    ->					Optional[Any]:




	'''simple docstring'''




	if backend_specific_objects is None:
		_UpperCamelCase :		int								=    read_init()
	# For special correspondence backend to module name as used in the function requires_modulename
	_UpperCamelCase :		Optional[Any]								=    {}

	for backend, objects in backend_specific_objects.items():
		_UpperCamelCase :		Any								=    '[' + ', '.join(F'''\"{b}\"''' for b in backend.split('_and_'						)						) + ']'
		_UpperCamelCase :		Dict								=    '# This file is autogenerated by the command `make fix-copies`, do not edit.\n'
		dummy_file += "from ..utils import DummyObject, requires_backends\n\n"
		dummy_file += "\n".join([create_dummy_object(UpperCAmelCase__				,							UpperCAmelCase__						) for o in objects]						)
		_UpperCamelCase :		Dict								=    dummy_file

	return dummy_files






def        lowerCamelCase_  (				UpperCAmelCase_				:  Any=False						)    ->					str:




	'''simple docstring'''




	_UpperCamelCase :		Dict								=    create_dummy_files()
	# For special correspondence backend to shortcut as used in utils/dummy_xxx_objects.py
	_UpperCamelCase :		List[str]								=    {'torch': 'pt'}

	# Locate actual dummy modules and read their content.
	_UpperCamelCase :		Dict								=    os.path.join(UpperCAmelCase__				,							'utils'						)
	_UpperCamelCase :		Union[str, Any]								=    {
	    backend: os.path.join(UpperCAmelCase__				,							F'''dummy_{short_names.get(UpperCAmelCase__				,							UpperCAmelCase__						)}_objects.py'''						)
	    for backend in dummy_files.keys()
	}

	_UpperCamelCase :		Tuple								=    {}
	for backend, file_path in dummy_file_paths.items():
		if os.path.isfile(UpperCAmelCase__						):
			with open(UpperCAmelCase__				,							'r'				,							encoding='utf-8'				,							newline='\n'						) as f:
				_UpperCamelCase :		int								=    f.read()
		else:
			_UpperCamelCase :		str								=    ''

	for backend in dummy_files.keys():
		if dummy_files[backend] != actual_dummies[backend]:
			if overwrite:
				print(
				    F'''Updating transformers.utils.dummy_{short_names.get(UpperCAmelCase__				,							UpperCAmelCase__						)}_objects.py as the main '''
				    '__init__ has new objects.'						)
				with open(dummy_file_paths[backend]				,							'w'				,							encoding='utf-8'				,							newline='\n'						) as f:
					f.write(dummy_files[backend]						)
			else:
				raise ValueError(
				    'The main __init__ has objects that are not present in '
				    F'''transformers.utils.dummy_{short_names.get(UpperCAmelCase__				,							UpperCAmelCase__						)}_objects.py. Run `make fix-copies` '''
				    'to fix this.'						)


if __name__ == "__main__":
							lowerCAmelCase__             =		argparse.ArgumentParser()
							parser.add_argument("""--fix_and_overwrite""", action="""store_true""", help="""Whether to fix inconsistencies.""")
							lowerCAmelCase__             =		parser.parse_args()

							check_dummies(args.fix_and_overwrite)







import math
import sys





class      snake_case_      :


							"""simple docstring"""





							def __init__(			self				):
												__lowerCAmelCase       =				0
												__lowerCAmelCase       =				[]
												__lowerCAmelCase       =				{}  # To store the pos of node in array




							def 							A__	(			self				):
												return self.cur_size == 0




							def 							A__	(			self       ,    _A				):
												__lowerCAmelCase       =				self.left(_A				)
												__lowerCAmelCase       =				self.right(_A				)
												if lc < self.cur_size and self.array(_A				)[0] < self.array(_A				)[0]:
																	__lowerCAmelCase       =				lc
												else:
																	__lowerCAmelCase       =				idx
												if rc < self.cur_size and self.array(_A				)[0] < self.array(_A				)[0]:
																	__lowerCAmelCase       =				rc
												if smallest != idx:
																	self.swap(_A       ,    _A				)
																	self.min_heapify(_A				)




							def 							A__	(			self       ,    _A				):
												# Inserts a node into the Priority Queue
												__lowerCAmelCase       =				self.cur_size
												self.cur_size += 1
												self.array.append((sys.maxsize, tup[1])				)
												self.decrease_key((sys.maxsize, tup[1])       ,    tup[0]				)




							def 							A__	(			self				):
												# Removes and returns the min element at top of priority queue
												__lowerCAmelCase       =				self.array[0][1]
												__lowerCAmelCase       =				self.array[self.cur_size - 1]
												self.cur_size -= 1
												self.min_heapify(1				)
												del self.pos[min_node]
												return min_node




							def 							A__	(			self       ,    _A				):
												# returns the index of left child
												return 2 * i + 1




							def 							A__	(			self       ,    _A				):
												# returns the index of right child
												return 2 * i + 2




							def 							A__	(			self       ,    _A				):
												# returns the index of parent
												return math.floor(i / 2				)




							def 							A__	(			self       ,    _A       ,    _A				):
												# swaps array elements at indices i and j
												# update the pos{}
												__lowerCAmelCase       =				j
												__lowerCAmelCase       =				i
												__lowerCAmelCase       =				self.array[i]
												__lowerCAmelCase       =				self.array[j]
												__lowerCAmelCase       =				temp




							def 							A__	(			self       ,    _A       ,    _A				):
												__lowerCAmelCase       =				self.pos[tup[1]]
												# assuming the new_d is atmost old_d
												__lowerCAmelCase       =				(new_d, tup[1])
												while idx > 0 and self.array[self.par(_A				)][0] > self.array[idx][0]:
																	self.swap(_A       ,    self.par(_A				)				)
																	__lowerCAmelCase       =				self.par(_A				)





class      snake_case_      :


							"""simple docstring"""





							def __init__(			self       ,    _A				):
												__lowerCAmelCase       =				{}  # To store graph: u -> (v,w)
												__lowerCAmelCase       =				num  # Number of nodes in graph
												# To store the distance from source vertex
												__lowerCAmelCase       =				[0] * self.num_nodes
												__lowerCAmelCase       =				[-1] * self.num_nodes  # To store the path




							def 							A__	(			self       ,    _A       ,    _A       ,    _A				):
												#  Edge going from node u to v and v to u with weight w
												# u (w)-> v, v (w) -> u
												# Check if u already in graph
												if u in self.adjList:
																	self.adjList[u].append((v, w)				)
												else:
																	__lowerCAmelCase       =				[(v, w)]

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




							def 							A__	(			self				):
												# u -> v(w)
												for u in self.adjList:
																	print(_A       ,    '->'       ,    ' -> '.join(str(F"""{v}({w})"""				) for v, w in self.adjList[u]				)				)




							def 							A__	(			self       ,    _A				):
												# Flush old junk values in par[]
												__lowerCAmelCase       =				[-1] * self.num_nodes
												# src is the source node
												__lowerCAmelCase       =				0
												__lowerCAmelCase       =				PriorityQueue()
												q.insert((0, src)				)  # (dist from src, node)
												for u in self.adjList:
																	if u != src:
																						__lowerCAmelCase       =				sys.maxsize  # Infinity
																						__lowerCAmelCase       =				-1

												while not q.is_empty():
																	__lowerCAmelCase       =				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       =				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)       ,    _A				)
																											__lowerCAmelCase       =				new_dist
																											__lowerCAmelCase       =				u

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




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




							def 							A__	(			self       ,    _A       ,    _A				):
												# To show the shortest path from src to dest
												# WARNING: Use it *after* calling dijkstra
												__lowerCAmelCase       =				[]
												__lowerCAmelCase       =				0
												__lowerCAmelCase       =				dest
												# Backtracking from dest to src
												while self.par[temp] != -1:
																	path.append(_A				)
																	if temp != src:
																						for v, w in self.adjList[temp]:
																											if v == self.par[temp]:
																																cost += w
																																break
																	__lowerCAmelCase       =				self.par[temp]
												path.append(_A				)
												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: '       ,    _A				)


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, 1_1)
		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, 1_4)
		graph.add_edge(4, 5, 1_0)
		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






