

"""simple docstring"""






from argparse import ArgumentParser

from .add_new_model import AddNewModelCommand
from .add_new_model_like import AddNewModelLikeCommand
from .convert import ConvertCommand
from .download import DownloadCommand
from .env import EnvironmentCommand
from .lfs import LfsCommands
from .pt_to_tf import PTtoTFCommand
from .run import RunCommand
from .serving import ServeCommand
from .user import UserCommands





def 	lowercase      (   ) ->      List[str]:
 __magic_name__     =      ArgumentParser('''Transformers CLI tool'''      ,   usage='''transformers-cli <command> [<args>]'''						)
 __magic_name__     =      parser.add_subparsers(help='''transformers-cli command helpers'''						)

 # Register commands
 ConvertCommand.register_subcommand(__UpperCamelCase						)
 DownloadCommand.register_subcommand(__UpperCamelCase						)
 EnvironmentCommand.register_subcommand(__UpperCamelCase						)
 RunCommand.register_subcommand(__UpperCamelCase						)
 ServeCommand.register_subcommand(__UpperCamelCase						)
 UserCommands.register_subcommand(__UpperCamelCase						)
 AddNewModelCommand.register_subcommand(__UpperCamelCase						)
 AddNewModelLikeCommand.register_subcommand(__UpperCamelCase						)
 LfsCommands.register_subcommand(__UpperCamelCase						)
 PTtoTFCommand.register_subcommand(__UpperCamelCase						)

 # Let's go
 __magic_name__     =      parser.parse_args()

 if not hasattr(__UpperCamelCase      ,   '''func'''						):
  parser.print_help()
  exit(1						)

 # Run
 __magic_name__     =      args.func(__UpperCamelCase						)
 service.run()


if __name__ == "__main__":
 main()




"""simple docstring"""






from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

__lowerCamelCase										=		TypeVar("T")





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (position - 1) // 2





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 1





def 	lowercase      (   __UpperCamelCase						) ->      int:
 return (2 * position) + 2
class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      []
      __magic_name__     =      {}
      __magic_name__     =      0







     def __len__(      self       ):
      return self.elements







     def __repr__(      self       ):
      return str(self.heap       )







     def 	lowerCAmelCase__    (      self       ):
      # Check if the priority queue is empty
      return self.elements == 0







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an element with given priority to the queue
      self.heap.append((elem, weight)       )
      __magic_name__     =      self.elements
      self.elements += 1
      self._bubble_up(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self       ):
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
       self._swap_nodes(0 ,						self.elements - 1       )
      __magic_name__   ,						__magic_name__     =      self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
       __magic_name__   ,						__magic_name__     =      self.heap[0]
       self._bubble_down(UpperCamelCase_       )
      return elem







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Update the weight of the given key
      __magic_name__     =      self.position_map[elem]
      __magic_name__     =      (elem, weight)
      if position > 0:
       __magic_name__     =      get_parent_position(UpperCamelCase_       )
       __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
       if parent_weight > weight:
        self._bubble_up(UpperCamelCase_       )
       else:
        self._bubble_down(UpperCamelCase_       )
      else:
       self._bubble_down(UpperCamelCase_       )







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (upward movement) [to be used internally
      # only]
      __magic_name__     =      self.position_map[elem]
      if curr_pos == 0:
       return None
      __magic_name__     =      get_parent_position(UpperCamelCase_       )
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__   ,						__magic_name__     =      self.heap[parent_position]
      if parent_weight > weight:
       self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
       return self._bubble_up(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Place a node at the proper position (downward movement) [to be used
      # internally only]
      __magic_name__     =      self.position_map[elem]
      __magic_name__   ,						__magic_name__     =      self.heap[curr_pos]
      __magic_name__     =      get_child_left_position(UpperCamelCase_       )
      __magic_name__     =      get_child_right_position(UpperCamelCase_       )
      if child_left_position < self.elements and child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < child_left_weight and child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      if child_left_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_left_position]
       if child_left_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      else:
       return None
      if child_right_position < self.elements:
       __magic_name__   ,						__magic_name__     =      self.heap[child_right_position]
       if child_right_weight < weight:
        self._swap_nodes(UpperCamelCase_ ,						UpperCamelCase_       )
        return self._bubble_down(UpperCamelCase_       )
      return None







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Swap the nodes at the given positions
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__     =      self.heap[nodea_pos][0]
      __magic_name__   ,						__magic_name__     =      (
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      __magic_name__     =      nodea_pos
      __magic_name__     =      nodea_pos


class        _lowercase					(     Generic[T]     ):







     def __init__(      self       ):
      __magic_name__     =      {}
      __magic_name__     =      0







     def __repr__(      self       ):
      return str(self.connections       )







     def __len__(      self       ):
      return self.nodes







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_       ):
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
       __magic_name__     =      {}
       self.nodes += 1







     def 	lowerCAmelCase__    (      self ,						UpperCamelCase_ ,						UpperCamelCase_ ,						UpperCamelCase_       ):
      # Add an edge between 2 nodes in the graph
      self.add_node(UpperCamelCase_       )
      self.add_node(UpperCamelCase_       )
      __magic_name__     =      weight
      __magic_name__     =      weight





def 	lowercase      (   __UpperCamelCase      ,   ) ->      tuple[dict[T, int], dict[T, T | None]]:
 __magic_name__     =      {node: maxsize for node in graph.connections}
 __magic_name__     =      {node: None for node in graph.connections}

 __magic_name__     =      MinPriorityQueue()
 for node, weight in dist.items():
  priority_queue.push(__UpperCamelCase      ,   __UpperCamelCase						)

 if priority_queue.is_empty():
  return dist, parent

 # initialization
 __magic_name__     =      priority_queue.extract_min()
 __magic_name__     =      0
 for neighbour in graph.connections[node]:
  if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
   __magic_name__     =      dist[node] + graph.connections[node][neighbour]
   priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
   __magic_name__     =      node

    # running prim's algorithm
 while not priority_queue.is_empty():
  __magic_name__     =      priority_queue.extract_min()
  for neighbour in graph.connections[node]:
   if dist[neighbour] > dist[node] + graph.connections[node][neighbour]:
    __magic_name__     =      dist[node] + graph.connections[node][neighbour]
    priority_queue.update_key(__UpperCamelCase      ,   dist[neighbour]						)
    __magic_name__     =      node
 return dist, parent

