




'''simple docstring'''



from __future__ import annotations

from sys import maxsize
from typing import Generic, TypeVar

lowerCamelCase_			=						TypeVar('T')
def 			SCREAMING_SNAKE_CASE_			(							__A    :			int  )			->			int:
   return (position - 1) // 2
def 			SCREAMING_SNAKE_CASE_			(							__A    :			int  )			->			int:
   return (2 * position) + 1
def 			SCREAMING_SNAKE_CASE_			(							__A    :			int  )			->			int:
   return (2 * position) + 2







class 		lowercase_   (			Generic[T]       ):


   """simple docstring"""

   def __init__(   self :     Tuple   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[]
      _SCREAMING_SNAKE_CASE	=				{}
      _SCREAMING_SNAKE_CASE	=				0



   def __len__(   self :     List[Any]   ):

      """simple docstring"""
      return self.elements



   def __repr__(   self :     List[Any]   ):

      """simple docstring"""
      return str(self.heap   )



   def 							lowerCAmelCase_      (   self :     Optional[int]   ):

      """simple docstring"""
      return self.elements == 0



   def 							lowerCAmelCase_      (   self :     Optional[int]  ,				__lowerCamelCase :     T  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      self.heap.append((elem, weight)   )
      _SCREAMING_SNAKE_CASE	=				self.elements
      self.elements += 1
      self._bubble_up(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      # Remove and return the element with lowest weight (highest priority)
      if self.elements > 1:
         self._swap_nodes(0  ,				self.elements - 1   )
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap.pop()
      del self.position_map[elem]
      self.elements -= 1
      if self.elements > 0:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[0]
         self._bubble_down(__lowerCamelCase   )
      return elem



   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     T  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.position_map[elem]
      _SCREAMING_SNAKE_CASE	=				(elem, weight)
      if position > 0:
         _SCREAMING_SNAKE_CASE	=				get_parent_position(__lowerCamelCase   )
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[parent_position]
         if parent_weight > weight:
            self._bubble_up(__lowerCamelCase   )
         else:
            self._bubble_down(__lowerCamelCase   )
      else:
         self._bubble_down(__lowerCamelCase   )



   def 							lowerCAmelCase_      (   self :     str  ,				__lowerCamelCase :     T   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.position_map[elem]
      if curr_pos == 0:
         return None
      _SCREAMING_SNAKE_CASE	=				get_parent_position(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[curr_pos]
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[parent_position]
      if parent_weight > weight:
         self._swap_nodes(__lowerCamelCase  ,				__lowerCamelCase   )
         return self._bubble_up(__lowerCamelCase   )
      return None



   def 							lowerCAmelCase_      (   self :     Union[str, Any]  ,				__lowerCamelCase :     T   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.position_map[elem]
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[curr_pos]
      _SCREAMING_SNAKE_CASE	=				get_child_left_position(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				get_child_right_position(__lowerCamelCase   )
      if child_left_position < self.elements and child_right_position < self.elements:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[child_left_position]
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[child_right_position]
         if child_right_weight < child_left_weight and child_right_weight < weight:
            self._swap_nodes(__lowerCamelCase  ,				__lowerCamelCase   )
            return self._bubble_down(__lowerCamelCase   )
      if child_left_position < self.elements:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[child_left_position]
         if child_left_weight < weight:
            self._swap_nodes(__lowerCamelCase  ,				__lowerCamelCase   )
            return self._bubble_down(__lowerCamelCase   )
      else:
         return None
      if child_right_position < self.elements:
         _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				self.heap[child_right_position]
         if child_right_weight < weight:
            self._swap_nodes(__lowerCamelCase  ,				__lowerCamelCase   )
            return self._bubble_down(__lowerCamelCase   )
      return None



   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     int  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				self.heap[nodea_pos][0]
      _SCREAMING_SNAKE_CASE	=				self.heap[nodea_pos][0]
      _SCREAMING_SNAKE_CASE,	_SCREAMING_SNAKE_CASE	=				(
          self.heap[nodea_pos],
          self.heap[nodea_pos],
      )
      _SCREAMING_SNAKE_CASE	=				nodea_pos
      _SCREAMING_SNAKE_CASE	=				nodea_pos







class 		lowercase_   (			Generic[T]       ):


   """simple docstring"""

   def __init__(   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				{}
      _SCREAMING_SNAKE_CASE	=				0



   def __repr__(   self :     List[Any]   ):

      """simple docstring"""
      return str(self.connections   )



   def __len__(   self :     Tuple   ):

      """simple docstring"""
      return self.nodes



   def 							lowerCAmelCase_      (   self :     Optional[Any]  ,				__lowerCamelCase :     T   ):

      """simple docstring"""
      # Add a node in the graph if it is not in the graph
      if node not in self.connections:
         _SCREAMING_SNAKE_CASE	=				{}
         self.nodes += 1



   def 							lowerCAmelCase_      (   self :     Optional[int]  ,				__lowerCamelCase :     T  ,				__lowerCamelCase :     T  ,				__lowerCamelCase :     int   ):

      """simple docstring"""
      self.add_node(__lowerCamelCase   )
      self.add_node(__lowerCamelCase   )
      _SCREAMING_SNAKE_CASE	=				weight
      _SCREAMING_SNAKE_CASE	=				weight


def 			SCREAMING_SNAKE_CASE_			(							__A    :			GraphUndirectedWeighted[T]	,					)			->			tuple[dict[T, int], dict[T, T | None]]:
   _SCREAMING_SNAKE_CASE	=				{node: maxsize for node in graph.connections}
   _SCREAMING_SNAKE_CASE	=				{node: None for node in graph.connections}

   _SCREAMING_SNAKE_CASE	=				MinPriorityQueue()
   for node, weight in dist.items():
      priority_queue.push(__A	,					__A  )

   if priority_queue.is_empty():
      return dist, parent

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

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







'''simple docstring'''



import unittest

from diffusers.pipelines.pipeline_utils import is_safetensors_compatible







class 		lowercase_   (			unittest.TestCase       ):


   """simple docstring"""

   def 							lowerCAmelCase_      (   self :     List[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.bin",
          "safety_checker/model.safetensors",
          "vae/diffusion_pytorch_model.bin",
          "vae/diffusion_pytorch_model.safetensors",
          "text_encoder/pytorch_model.bin",
          "text_encoder/model.safetensors",
          "unet/diffusion_pytorch_model.bin",
          "unet/diffusion_pytorch_model.safetensors",
      ]
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "unet/diffusion_pytorch_model.bin",
          "unet/diffusion_pytorch_model.safetensors",
      ]
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.bin",
          "safety_checker/model.safetensors",
          "vae/diffusion_pytorch_model.bin",
          "vae/diffusion_pytorch_model.safetensors",
          "text_encoder/pytorch_model.bin",
          "text_encoder/model.safetensors",
          "unet/diffusion_pytorch_model.bin",
          # Removed: 'unet/diffusion_pytorch_model.safetensors',
      ]
      self.assertFalse(is_safetensors_compatible(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     List[str]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "text_encoder/pytorch_model.bin",
          "text_encoder/model.safetensors",
      ]
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.bin",
          "safety_checker/model.safetensors",
          "vae/diffusion_pytorch_model.bin",
          "vae/diffusion_pytorch_model.safetensors",
          "text_encoder/pytorch_model.bin",
          # Removed: 'text_encoder/model.safetensors',
          "unet/diffusion_pytorch_model.bin",
          "unet/diffusion_pytorch_model.safetensors",
      ]
      self.assertFalse(is_safetensors_compatible(__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Optional[int]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.fp16.bin",
          "safety_checker/model.fp16.safetensors",
          "vae/diffusion_pytorch_model.fp16.bin",
          "vae/diffusion_pytorch_model.fp16.safetensors",
          "text_encoder/pytorch_model.fp16.bin",
          "text_encoder/model.fp16.safetensors",
          "unet/diffusion_pytorch_model.fp16.bin",
          "unet/diffusion_pytorch_model.fp16.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Any   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "unet/diffusion_pytorch_model.fp16.bin",
          "unet/diffusion_pytorch_model.fp16.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Tuple   ):

      """simple docstring"""
      # pass variant but use the non-variant filenames
      _SCREAMING_SNAKE_CASE	=				[
          "unet/diffusion_pytorch_model.bin",
          "unet/diffusion_pytorch_model.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     int   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.fp16.bin",
          "safety_checker/model.fp16.safetensors",
          "vae/diffusion_pytorch_model.fp16.bin",
          "vae/diffusion_pytorch_model.fp16.safetensors",
          "text_encoder/pytorch_model.fp16.bin",
          "text_encoder/model.fp16.safetensors",
          "unet/diffusion_pytorch_model.fp16.bin",
          # Removed: 'unet/diffusion_pytorch_model.fp16.safetensors',
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertFalse(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Dict   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "text_encoder/pytorch_model.fp16.bin",
          "text_encoder/model.fp16.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     str   ):

      """simple docstring"""
      # pass variant but use the non-variant filenames
      _SCREAMING_SNAKE_CASE	=				[
          "text_encoder/pytorch_model.bin",
          "text_encoder/model.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertTrue(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )



   def 							lowerCAmelCase_      (   self :     Optional[Any]   ):

      """simple docstring"""
      _SCREAMING_SNAKE_CASE	=				[
          "safety_checker/pytorch_model.fp16.bin",
          "safety_checker/model.fp16.safetensors",
          "vae/diffusion_pytorch_model.fp16.bin",
          "vae/diffusion_pytorch_model.fp16.safetensors",
          "text_encoder/pytorch_model.fp16.bin",
          # 'text_encoder/model.fp16.safetensors',
          "unet/diffusion_pytorch_model.fp16.bin",
          "unet/diffusion_pytorch_model.fp16.safetensors",
      ]
      _SCREAMING_SNAKE_CASE	=				"fp16"
      self.assertFalse(is_safetensors_compatible(__lowerCamelCase  ,				variant=__lowerCamelCase   )   )

