"""simple docstring"""




def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: str    ,_lowerCamelCase		: List[str]    ,_lowerCamelCase		: Dict    ,_lowerCamelCase		: Tuple			) ->   Tuple:
  # Return True if there is node that has not iterated.
  _lowerCAmelCase		: Dict						    =  [False] * len(_lowerCamelCase			)
  _lowerCAmelCase		: Optional[int]						    =  []
  queue.append(_lowerCamelCase			)
  _lowerCAmelCase		: Optional[int]						    =  True

  while queue:
    _lowerCAmelCase		: List[Any]						    =  queue.pop(0			)
    for ind in range(len(graph[u]			)			):
      if visited[ind] is False and graph[u][ind] > 0:
        queue.append(_lowerCamelCase			)
        _lowerCAmelCase		: Any						    =  True
        _lowerCAmelCase		: Any						    =  u

  return visited[t]





def 							SCREAMING_SNAKE_CASE  (    _lowerCamelCase		: Dict    ,_lowerCamelCase		: Optional[int]    ,_lowerCamelCase		: List[Any]			) ->   Dict:
  # This array is filled by BFS and to store path
  _lowerCAmelCase		: Any						    =  [-1] * (len(_lowerCamelCase			))
  _lowerCAmelCase		: List[str]						    =  0
  while bfs(_lowerCamelCase    ,_lowerCamelCase    ,_lowerCamelCase    ,_lowerCamelCase			):
    _lowerCAmelCase		: Union[str, Any]						    =  float("""Inf"""			)
    _lowerCAmelCase		: Optional[Any]						    =  sink

    while s != source:
      # Find the minimum value in select path
      _lowerCAmelCase		: List[str]						    =  min(_lowerCamelCase    ,graph[parent[s]][s]			)
      _lowerCAmelCase		: Any						    =  parent[s]

    max_flow += path_flow
    _lowerCAmelCase		: Union[str, Any]						    =  sink

    while v != source:
      _lowerCAmelCase		: Optional[Any]						    =  parent[v]
      graph[u][v] -= path_flow
      graph[v][u] += path_flow
      _lowerCAmelCase		: Optional[int]						    =  parent[v]
  return max_flow


_a   :	Any 					=     [
    [0, 16, 13, 0, 0, 0],
    [0, 0, 10, 12, 0, 0],
    [0, 4, 0, 0, 14, 0],
    [0, 0, 9, 0, 0, 20],
    [0, 0, 0, 7, 0, 4],
    [0, 0, 0, 0, 0, 0],
]

_a					,     _a   :	str 					=     0, 5






print(ford_fulkerson(graph, source, sink))





"""simple docstring"""




from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
     if not (is_transformers_available() and is_torch_available() and is_transformers_version('>=', '4.25.0')):
          raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
     from ...utils.dummy_torch_and_transformers_objects import UnCLIPImageVariationPipeline, UnCLIPPipeline
else:
     from .pipeline_unclip import UnCLIPPipeline
     from .pipeline_unclip_image_variation import UnCLIPImageVariationPipeline
     from .text_proj import UnCLIPTextProjModel




