





'''simple docstring'''







def    __UpperCamelCase	(	a    : str					,   a    : Optional[int]     ) ->Optional[Any]:
 return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2

def    __UpperCamelCase	(	a    : Optional[int]					,   a    : str=0     ) ->int:
 return sorted(a					,   key=lambda a     : x[column]     )

def    __UpperCamelCase	(	a    : str					,   a    : str					,   a    : Optional[int]=float('''inf'''     )     ) ->List[str]:

 for i in range(points_counts - 1     ):
  for j in range(i + 1					,   a     ):
   snake_case				=			euclidean_distance_sqr(points[i]					,   points[j]     )
   if current_dis < min_dis:
    snake_case				=			current_dis
 return min_dis

def    __UpperCamelCase	(	a    : Union[str, Any]					,   a    : Tuple					,   a    : Optional[Any]=float('''inf'''     )     ) ->Optional[int]:

 for i in range(min(6					,   points_counts - 1     )					,   a     ):
  for j in range(max(0					,   i - 6     )					,   a     ):
   snake_case				=			euclidean_distance_sqr(points[i]					,   points[j]     )
   if current_dis < min_dis:
    snake_case				=			current_dis
 return min_dis

def    __UpperCamelCase	(	a    : Union[str, Any]					,   a    : Dict					,   a    : List[str]     ) ->Optional[int]:

 # base case
 if points_counts <= 3:
  return dis_between_closest_pair(a					,   a     )

 # recursion
 snake_case				=			points_counts // 2
 snake_case				=			closest_pair_of_points_sqr(
     a					,   points_sorted_on_y[:mid]					,   a     )
 snake_case				=			closest_pair_of_points_sqr(
     a					,   points_sorted_on_y[mid:]					,   points_counts - mid     )
 snake_case				=			min(a					,   a     )
 snake_case				=			[]
 for point in points_sorted_on_x:
  if abs(point[0] - points_sorted_on_x[mid][0]     ) < closest_pair_dis:
   cross_strip.append(a     )

 snake_case				=			dis_between_closest_in_strip(
     a					,   len(a     )					,   a     )
 return min(a					,   a     )

def    __UpperCamelCase	(	a    : str					,   a    : str     ) ->List[str]:
 snake_case				=			column_based_sort(a					,   column=0     )
 snake_case				=			column_based_sort(a					,   column=1     )
 return (
     closest_pair_of_points_sqr(
         a					,   a					,   a     )
 ) ** 0.5


if __name__ == "__main__":
   _lowercase       						=			[(2, 3), (12, 30), (40, 50), (5, 1), (12, 10), (3, 4)]
   print('Distance:', closest_pair_of_points(points, len(points)))








'''simple docstring'''







from ...utils import is_note_seq_available, is_transformers_available, is_torch_available
from ...utils import OptionalDependencyNotAvailable


try:
   if not (is_transformers_available() and is_torch_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_torch_and_transformers_objects import *  # noqa F403
else:
   from .notes_encoder import SpectrogramNotesEncoder
   from .continous_encoder import SpectrogramContEncoder
   from .pipeline_spectrogram_diffusion import (
       SpectrogramContEncoder,
       SpectrogramDiffusionPipeline,
       TaFilmDecoder,
   )

try:
   if not (is_transformers_available() and is_torch_available() and is_note_seq_available()):
      raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
   from ...utils.dummy_transformers_and_torch_and_note_seq_objects import *  # noqa F403
else:
   from .midi_utils import MidiProcessor

