"""simple docstring"""


def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     return (pointa[0] - pointa[0]) ** 2 + (pointa[1] - pointa[1]) ** 2







def 					__a   (		A    ,				A=0      ):






     '''simple docstring'''



     return sorted(A    ,				key=lambda A      : x[column]      )







def 					__a   (		A    ,				A    ,				A=float("inf"      )      ):






     '''simple docstring'''



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







def 					__a   (		A    ,				A    ,				A=float("inf"      )      ):






     '''simple docstring'''



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







def 					__a   (		A    ,				A    ,				A      ):






     '''simple docstring'''



     if points_counts <= 3:
          return dis_between_closest_pair(A    ,				A      )

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

     lowercase__				 =							dis_between_closest_in_strip(
         A    ,				len(A      )    ,				A      )
     return min(A    ,				A      )







def 					__a   (		A    ,				A      ):






     '''simple docstring'''



     lowercase__				 =							column_based_sort(A    ,				column=0      )
     lowercase__				 =							column_based_sort(A    ,				column=1      )
     return (
         closest_pair_of_points_sqr(
             A    ,				A    ,				A      )
     ) ** 0.5


if __name__ == "__main__":
 lowerCAmelCase_:					Tuple     =					[(2, 3), (1_2, 3_0), (4_0, 5_0), (5, 1), (1_2, 1_0), (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




