


from queue import PriorityQueue
from typing import Any

import numpy as np
def _A						(						lowercase	,   lowercase	,   lowercase	,   lowercase	,   lowercase	,   lowercase	,   lowercase	,   lowercase	,   lowercase	,   ):







    """simple docstring"""
    for nxt, d in graph[v]:
        if nxt in visited_forward:
            continue
        a					=cst_fwd.get(__a	,   np.inf		)
        a					=cst_fwd[v] + d
        if new_cost_f < old_cost_f:
            queue.put((new_cost_f, nxt)		)
            a					=new_cost_f
            a					=v
        if nxt in visited_backward:
            if cst_fwd[v] + d + cst_bwd[nxt] < shortest_distance:
                a					=cst_fwd[v] + d + cst_bwd[nxt]
    return shortest_distance
def _A						(						lowercase	,   lowercase	,   lowercase	,   lowercase		):







    """simple docstring"""
    a					=-1

    a					=set()
    a					=set()
    a					={source: 0}
    a					={destination: 0}
    a					={source: None}
    a					={destination: None}
    a					=PriorityQueue()
    a					=PriorityQueue()

    a					=np.inf

    queue_forward.put((0, source)		)
    queue_backward.put((0, destination)		)

    if source == destination:
        return 0

    while not queue_forward.empty() and not queue_backward.empty():
        a					=queue_forward.get()
        visited_forward.add(__a		)

        a					=queue_backward.get()
        visited_backward.add(__a		)

        a					=pass_and_relaxation(
            __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   )

        a					=pass_and_relaxation(
            __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   __a	,   )

        if cst_fwd[v_fwd] + cst_bwd[v_bwd] >= shortest_distance:
            break

    if shortest_distance != np.inf:
        a					=shortest_distance
    return shortest_path_distance


lowerCamelCase_       :       Union[str, Any]      						=  {
    """B""": [["""C""", 1]],
    """C""": [["""D""", 1]],
    """D""": [["""F""", 1]],
    """E""": [["""B""", 1], ["""G""", 2]],
    """F""": [],
    """G""": [["""F""", 1]],
}
lowerCamelCase_       :       str      						=  {
    """B""": [["""E""", 1]],
    """C""": [["""B""", 1]],
    """D""": [["""C""", 1]],
    """F""": [["""D""", 1], ["""G""", 1]],
    """E""": [[None, np.inf]],
    """G""": [["""E""", 2]],
}

if __name__ == "__main__":
       import doctest

       doctest.testmod()



"""simple docstring"""







from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_tokenizers_available,
    is_torch_available,
    is_vision_available,
)


lowerCamelCase_       :       Union[str, Any]      						=  {"""processing_layoutxlm""": ["""LayoutXLMProcessor"""]}

try:
       if not is_sentencepiece_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_       :       Optional[int]      						=  ["""LayoutXLMTokenizer"""]

try:
       if not is_tokenizers_available():
              raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
       pass
else:
       lowerCamelCase_       :       Dict      						=  ["""LayoutXLMTokenizerFast"""]

if TYPE_CHECKING:
       from .processing_layoutxlm import LayoutXLMProcessor

       try:
              if not is_sentencepiece_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm import LayoutXLMTokenizer

       try:
              if not is_tokenizers_available():
                     raise OptionalDependencyNotAvailable()
       except OptionalDependencyNotAvailable:
              pass
       else:
              from .tokenization_layoutxlm_fast import LayoutXLMTokenizerFast

else:
       import sys

       lowerCamelCase_       :       Union[str, Any]      						=  _LazyModule(__name__, globals()["""__file__"""], _import_structure, module_spec=__spec__)