
"""simple docstring"""
import random
import shutil
import tempfile
import unittest

import numpy as np

from transformers import TaTokenizer, TaTokenizerFast
from transformers.testing_utils import require_sentencepiece, require_torch
from transformers.utils.import_utils import is_speech_available, is_torch_available


if is_torch_available():
    pass

if is_speech_available():
    from transformers import EncodecFeatureExtractor, MusicgenProcessor


_a   :      Optional[int]       =				random.Random()
def 					a__ ( a :					int							,  a :					List[Any]=1.0							,  a :					Tuple=None							,  a :					str=None		):

  """simple docstring"""







  if rng is None:
    _snake_case  :    Dict            = global_rng

  _snake_case  :    Union[str, Any]            = []
  for batch_idx in range(shape[0]		):
    values.append([]		)
    for _ in range(shape[1]		):
      values[-1].append(rng.random() * scale		)

  return values






@require_torch
@require_sentencepiece
class   _UpperCAmelCase					(       unittest.TestCase):
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    List[str]            = "facebook/musicgen-small"
      _snake_case  :    Dict            = tempfile.mkdtemp()
    def        lowerCamelCase__						(     self    ,     **snake_case_  ):
      return TaTokenizer.from_pretrained(self.checkpoint    ,     **snake_case_  )
    def        lowerCamelCase__						(     self    ,     **snake_case_  ):
      return EncodecFeatureExtractor.from_pretrained(self.checkpoint    ,     **snake_case_  )
    def        lowerCamelCase__						(     self  ):
      shutil.rmtree(self.tmpdirname  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Optional[int]            = self.get_tokenizer()
      _snake_case  :    Any            = self.get_feature_extractor()

      _snake_case  :    List[str]            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      processor.save_pretrained(self.tmpdirname  )
      _snake_case  :    Optional[Any]            = MusicgenProcessor.from_pretrained(self.tmpdirname  )

      self.assertEqual(processor.tokenizer.get_vocab()    ,     tokenizer.get_vocab()  )
      self.assertIsInstance(processor.tokenizer    ,     snake_case_  )

      self.assertEqual(processor.feature_extractor.to_json_string()    ,     feature_extractor.to_json_string()  )
      self.assertIsInstance(processor.feature_extractor    ,     snake_case_  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Optional[int]            = MusicgenProcessor(tokenizer=self.get_tokenizer()    ,     feature_extractor=self.get_feature_extractor()  )
      processor.save_pretrained(self.tmpdirname  )

      _snake_case  :    Tuple            = self.get_tokenizer(bos_token="(BOS)"    ,     eos_token="(EOS)"  )
      _snake_case  :    List[str]            = self.get_feature_extractor(do_normalize=snake_case_    ,     padding_value=1.0  )

      _snake_case  :    int            = MusicgenProcessor.from_pretrained(
          self.tmpdirname    ,     bos_token="(BOS)"    ,     eos_token="(EOS)"    ,     do_normalize=snake_case_    ,     padding_value=1.0  )

      self.assertEqual(processor.tokenizer.get_vocab()    ,     tokenizer_add_kwargs.get_vocab()  )
      self.assertIsInstance(processor.tokenizer    ,     snake_case_  )

      self.assertEqual(processor.feature_extractor.to_json_string()    ,     feature_extractor_add_kwargs.to_json_string()  )
      self.assertIsInstance(processor.feature_extractor    ,     snake_case_  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    str            = self.get_feature_extractor()
      _snake_case  :    List[Any]            = self.get_tokenizer()

      _snake_case  :    List[str]            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      _snake_case  :    List[str]            = floats_list((3, 10_00)  )

      _snake_case  :    str            = feature_extractor(snake_case_    ,     return_tensors="np"  )
      _snake_case  :    List[Any]            = processor(snake_case_    ,     return_tensors="np"  )

      for key in input_feat_extract.keys():
        self.assertAlmostEqual(input_feat_extract[key].sum()    ,     input_processor[key].sum()    ,     delta=1E-2  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Union[str, Any]            = self.get_feature_extractor()
      _snake_case  :    Optional[Any]            = self.get_tokenizer()

      _snake_case  :    Tuple            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      _snake_case  :    str            = "This is a test string"

      _snake_case  :    List[Any]            = processor(text=snake_case_  )

      _snake_case  :    Any            = tokenizer(snake_case_  )

      for key in encoded_tok.keys():
        self.assertListEqual(encoded_tok[key]    ,     encoded_processor[key]  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Dict            = self.get_feature_extractor()
      _snake_case  :    str            = self.get_tokenizer()

      _snake_case  :    Union[str, Any]            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      _snake_case  :    Dict            = [[1, 4, 5, 8, 1, 0, 8], [3, 4, 3, 1, 1, 8, 9]]

      _snake_case  :    int            = processor.batch_decode(sequences=snake_case_  )
      _snake_case  :    Tuple            = tokenizer.batch_decode(snake_case_  )

      self.assertListEqual(snake_case_    ,     snake_case_  )
    def        lowerCamelCase__						(     self  ):
      _snake_case  :    Dict            = self.get_feature_extractor()
      _snake_case  :    Tuple            = self.get_tokenizer()

      _snake_case  :    Union[str, Any]            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      self.assertListEqual(
          processor.model_input_names    ,     feature_extractor.model_input_names    ,     msg="`processor` and `feature_extractor` model input names do not match"    ,     )


    def        lowerCamelCase__						(     self  ):
      _snake_case  :    List[str]            = self.get_feature_extractor(padding_side="left"  )
      _snake_case  :    Tuple            = self.get_tokenizer()

      _snake_case  :    Tuple            = MusicgenProcessor(tokenizer=snake_case_    ,     feature_extractor=snake_case_  )

      _snake_case  :    Tuple            = [floats_list((1, x)  )[0] for x in range(5    ,     20    ,     5  )]
      _snake_case  :    List[str]            = processor(snake_case_  ).padding_mask

      _snake_case  :    Dict            = np.asarray(floats_list((3, 20)  )  )[:, None, :]
      _snake_case  :    Tuple            = processor.batch_decode(snake_case_    ,     padding_mask=snake_case_  )

      self.assertIsInstance(snake_case_    ,     snake_case_  )

      for audio in decoded_audios:
        self.assertIsInstance(snake_case_    ,     np.ndarray  )

      self.assertTrue(decoded_audios[0].shape == (1, 10)  )
      self.assertTrue(decoded_audios[1].shape == (1, 15)  )
      self.assertTrue(decoded_audios[2].shape == (1, 20)  )



from __future__ import annotations

from collections.abc import Iterable





class 				UpperCamelCase__		:






       """simple docstring"""


       def __init__(							self ,     _A ,     _A	)				->				Union[str, Any]:
          SCREAMING_SNAKE_CASE_	, SCREAMING_SNAKE_CASE_	=      float(_A	), float(_A	)



       def __eq__(							self ,     _A	)				->				str:
          return self.x == other.x and self.y == other.y



       def __ne__(							self ,     _A	)				->				Any:
          return not self == other



       def __gt__(							self ,     _A	)				->				List[Any]:
          if self.x > other.x:
             return True
          elif self.x == other.x:
             return self.y > other.y
          return False



       def __lt__(							self ,     _A	)				->				Optional[int]:
          return not self > other



       def __ge__(							self ,     _A	)				->				int:
          if self.x > other.x:
             return True
          elif self.x == other.x:
             return self.y >= other.y
          return False



       def __le__(							self ,     _A	)				->				str:
          if self.x < other.x:
             return True
          elif self.x == other.x:
             return self.y <= other.y
          return False



       def __repr__(							self	)				->				str:
          return F'''({self.x}, {self.y})'''




       def __hash__(							self	)				->				List[str]:
          return hash(self.x	)







def  A__ (       __lowerCamelCase,  ):
   SCREAMING_SNAKE_CASE_	=      []
   if list_of_tuples:
      for p in list_of_tuples:
         if isinstance(__lowerCamelCase,  __lowerCamelCase						):
            points.append(__lowerCamelCase						)
         else:
            try:
               points.append(Point(p[0],  p[1]						)						)
            except (IndexError, TypeError):
               print(
                   F'''Ignoring deformed point {p}. All points'''
                   ''' must have at least 2 coordinates.'''						)
   return points


def  A__ (       __lowerCamelCase						):

   if not hasattr(__lowerCamelCase,  '''__iter__'''						):
      SCREAMING_SNAKE_CASE_	=      F'''Expecting an iterable object but got an non-iterable type {points}'''
      raise ValueError(__lowerCamelCase						)

   if not points:
      SCREAMING_SNAKE_CASE_	=      F'''Expecting a list of points but got {points}'''
      raise ValueError(__lowerCamelCase						)

   return _construct_points(__lowerCamelCase						)


def  A__ (       __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      (a.x * b.y + b.x * c.y + c.x * a.y) - (a.y * b.x + b.y * c.x + c.y * a.x)
   return det


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)
   SCREAMING_SNAKE_CASE_	=      set()

   for i in range(n - 1						):
      for j in range(i + 1,  __lowerCamelCase						):
         SCREAMING_SNAKE_CASE_	=      SCREAMING_SNAKE_CASE_	=      False
         SCREAMING_SNAKE_CASE_	=      True
         for k in range(__lowerCamelCase						):
            if k != i and k != j:
               SCREAMING_SNAKE_CASE_	=      _det(points[i],  points[j],  points[k]						)

               if det_k > 0:
                  SCREAMING_SNAKE_CASE_	=      True
               elif det_k < 0:
                  SCREAMING_SNAKE_CASE_	=      True
               else:
                  # point[i], point[j], point[k] all lie on a straight line
                  # if point[k] is to the left of point[i] or it's to the
                  # right of point[j], then point[i], point[j] cannot be
                  # part of the convex hull of A
                  if points[k] < points[i] or points[k] > points[j]:
                     SCREAMING_SNAKE_CASE_	=      False
                     break

            if points_left_of_ij and points_right_of_ij:
               SCREAMING_SNAKE_CASE_	=      False
               break

         if ij_part_of_convex_hull:
            convex_set.update([points[i], points[j]]						)

   return sorted(__lowerCamelCase						)


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)

   # divide all the points into an upper hull and a lower hull
   # the left most point and the right most point are definitely
   # members of the convex hull by definition.
   # use these two anchors to divide all the points into two hulls,
   # an upper hull and a lower hull.

   # all points to the left (above) the line joining the extreme points belong to the
   # upper hull
   # all points to the right (below) the line joining the extreme points below to the
   # lower hull
   # ignore all points on the line joining the extreme points since they cannot be
   # part of the convex hull

   SCREAMING_SNAKE_CASE_	=      points[0]
   SCREAMING_SNAKE_CASE_	=      points[n - 1]

   SCREAMING_SNAKE_CASE_	=      {left_most_point, right_most_point}
   SCREAMING_SNAKE_CASE_	=      []
   SCREAMING_SNAKE_CASE_	=      []

   for i in range(1,  n - 1						):
      SCREAMING_SNAKE_CASE_	=      _det(__lowerCamelCase,  __lowerCamelCase,  points[i]						)

      if det > 0:
         upper_hull.append(points[i]						)
      elif det < 0:
         lower_hull.append(points[i]						)

   _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)
   _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)

   return sorted(__lowerCamelCase						)


def  A__ (       __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						):
   if points:
      SCREAMING_SNAKE_CASE_	=      None
      SCREAMING_SNAKE_CASE_	=      float('''-inf'''						)
      SCREAMING_SNAKE_CASE_	=      []

      for p in points:
         SCREAMING_SNAKE_CASE_	=      _det(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)

         if det > 0:
            candidate_points.append(__lowerCamelCase						)

            if det > extreme_point_distance:
               SCREAMING_SNAKE_CASE_	=      det
               SCREAMING_SNAKE_CASE_	=      p

      if extreme_point:
         _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)
         convex_set.add(__lowerCamelCase						)
         _construct_hull(__lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase,  __lowerCamelCase						)


def  A__ (       __lowerCamelCase						):
   SCREAMING_SNAKE_CASE_	=      sorted(_validate_input(__lowerCamelCase						)						)
   SCREAMING_SNAKE_CASE_	=      len(__lowerCamelCase						)

   SCREAMING_SNAKE_CASE_	=      points[:2]
   for i in range(2,  __lowerCamelCase						):
      SCREAMING_SNAKE_CASE_	=      _det(convex_hull[1],  convex_hull[0],  points[i]						)
      if det > 0:
         convex_hull.insert(0,  points[i]						)
         break
      elif det < 0:
         convex_hull.append(points[i]						)
         break
      else:
         SCREAMING_SNAKE_CASE_	=      points[i]
   i += 1

   for j in range(__lowerCamelCase,  __lowerCamelCase						):
      if (
          _det(convex_hull[0],  convex_hull[-1],  points[j]						) > 0
          and _det(convex_hull[-1],  convex_hull[0],  points[1]						) < 0
      ):
         # The point lies within the convex hull
         continue

      convex_hull.insert(0,  points[j]						)
      convex_hull.append(points[j]						)
      while _det(convex_hull[0],  convex_hull[1],  convex_hull[2]						) >= 0:
         del convex_hull[1]
      while _det(convex_hull[-1],  convex_hull[-2],  convex_hull[-3]						) <= 0:
         del convex_hull[-2]

    # `convex_hull` is contains the convex hull in circular order
   return sorted(convex_hull[1:] if len(__lowerCamelCase						) > 3 else convex_hull						)


def  A__ (       ):
   SCREAMING_SNAKE_CASE_	=      [
       (0, 3),
       (2, 2),
       (1, 1),
       (2, 1),
       (3, 0),
       (0, 0),
       (3, 3),
       (2, -1),
       (2, -4),
       (1, -3),
   ]
   # the convex set of points is
   # [(0, 0), (0, 3), (1, -3), (2, -4), (3, 0), (3, 3)]
   SCREAMING_SNAKE_CASE_	=      convex_hull_bf(__lowerCamelCase						)

   SCREAMING_SNAKE_CASE_	=      convex_hull_recursive(__lowerCamelCase						)
   assert results_bf == results_recursive

   SCREAMING_SNAKE_CASE_	=      convex_hull_melkman(__lowerCamelCase						)
   assert results_bf == results_melkman

   print(__lowerCamelCase						)


if __name__ == "__main__":
   main()


