'''simple docstring'''
import math
import random
from typing import Any

from .hill_climbing import SearchProblem



def  __lowerCamelCase       (      _UpperCamelCase  :  List[Any]							,    _UpperCamelCase  :  bool = True							,    _UpperCamelCase  :  float = math.inf							,    _UpperCamelCase  :  float = -math.inf							,    _UpperCamelCase  :  float = math.inf							,    _UpperCamelCase  :  float = -math.inf							,    _UpperCamelCase  :  bool = False							,    _UpperCamelCase  :  float = 100							,    _UpperCamelCase  :  float = 0.01							,    _UpperCamelCase  :  float = 1							,    ):


      '''simple docstring'''


      UpperCAmelCase_            =  False
      UpperCAmelCase_            =  search_prob
      UpperCAmelCase_            =  start_temperate
      UpperCAmelCase_            =  []
      UpperCAmelCase_            =  0
      UpperCAmelCase_            =  None

      while not search_end:
            UpperCAmelCase_            =  current_state.score()
            if best_state is None or current_score > best_state.score():
                  UpperCAmelCase_            =  current_state
            scores.append(_UpperCamelCase					)
            iterations += 1
            UpperCAmelCase_            =  None
            UpperCAmelCase_            =  current_state.get_neighbors()
            while (
                next_state is None and neighbors
            ):  # till we do not find a neighbor that we can move to
                  UpperCAmelCase_            =  random.randint(0							,    len(_UpperCamelCase					) - 1					)  # picking a random neighbor
                  UpperCAmelCase_            =  neighbors.pop(_UpperCamelCase					)
                  UpperCAmelCase_            =  picked_neighbor.score() - current_score

                  if (
                      picked_neighbor.x > max_x
                      or picked_neighbor.x < min_x
                      or picked_neighbor.y > max_y
                      or picked_neighbor.y < min_y
                  ):
                        continue  # neighbor outside our bounds

                  if not find_max:
                        UpperCAmelCase_            =  change * -1  # in case we are finding minimum
                  if change > 0:  # improves the solution
                        UpperCAmelCase_            =  picked_neighbor
                  else:
                        UpperCAmelCase_            =  (math.e) ** (
                            change / current_temp
                        )  # probability generation function
                        if random.random() < probability:  # random number within probability
                              UpperCAmelCase_            =  picked_neighbor
            UpperCAmelCase_            =  current_temp - (current_temp * rate_of_decrease)

            if current_temp < threshold_temp or next_state is None:
                  # temperature below threshold, or could not find a suitable neighbor
                  UpperCAmelCase_            =  True
            else:
                  UpperCAmelCase_            =  next_state

      if visualization:
            from matplotlib import pyplot as plt

            plt.plot(range(_UpperCamelCase					)							,    _UpperCamelCase					)
            plt.xlabel('''Iterations'''					)
            plt.ylabel('''Function values'''					)
            plt.show()
      return best_state


if __name__ == "__main__":



      def  __lowerCamelCase       (      _UpperCamelCase  :  Optional[int]							,    _UpperCamelCase  :  Optional[int]					):


            '''simple docstring'''


            return (x**2) + (y**2)

      # starting the problem with initial coordinates (12, 47)
      lowercase__  :      Tuple        =					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
      lowercase__  :      Union[str, Any]        =					simulated_annealing(
          prob, find_max=False, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
      )
      print(
          "The minimum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 "
          F'''and 50 > y > - 5 found via hill climbing: {local_min.score()}'''
      )

      # starting the problem with initial coordinates (12, 47)
      lowercase__  :      Optional[Any]        =					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
      lowercase__  :      str        =					simulated_annealing(
          prob, find_max=True, max_x=100, min_x=5, max_y=50, min_y=-5, visualization=True
      )
      print(
          "The maximum score for f(x, y) = x^2 + y^2 with the domain 100 > x > 5 "
          F'''and 50 > y > - 5 found via hill climbing: {local_min.score()}'''
      )



      def  __lowerCamelCase       (      _UpperCamelCase  :  str							,    _UpperCamelCase  :  Union[str, Any]					):


            '''simple docstring'''


            return (3 * x**2) - (6 * y)

      lowercase__  :      Any        =					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
      lowercase__  :      Tuple        =					simulated_annealing(prob, find_max=False, visualization=True)
      print(
          "The minimum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: "
          F'''{local_min.score()}'''
      )

      lowercase__  :      Tuple        =					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
      lowercase__  :      Optional[Any]        =					simulated_annealing(prob, find_max=True, visualization=True)





      print(
          "The maximum score for f(x, y) = 3*x^2 - 6*y found via hill climbing: "
          F'''{local_min.score()}'''
      )






'''simple docstring'''
import json
import os
import unittest

from transformers.models.xlm.tokenization_xlm import VOCAB_FILES_NAMES, XLMTokenizer
from transformers.testing_utils import slow

from ...test_tokenization_common import TokenizerTesterMixin







class lowerCamelCase							(	lowerCamelCase     ,		unittest.TestCase					):




  '''simple docstring'''



  lowerCAmelCase__										=	XLMTokenizer
  lowerCAmelCase__										=	False






  def  lowerCAmelCase__ (      self			:       int  )				->Union[str, Any]:
        super().setUp()

        # Adapted from Sennrich et al. 2015 and https://github.com/rsennrich/subword-nmt
        UpperCAmelCase_            =  [
            '''l''',
            '''o''',
            '''w''',
            '''e''',
            '''r''',
            '''s''',
            '''t''',
            '''i''',
            '''d''',
            '''n''',
            '''w</w>''',
            '''r</w>''',
            '''t</w>''',
            '''lo''',
            '''low''',
            '''er</w>''',
            '''low</w>''',
            '''lowest</w>''',
            '''newer</w>''',
            '''wider</w>''',
            '''<unk>''',
        ]
        UpperCAmelCase_            =  dict(zip(UpperCAmelCase__  ,							range(len(UpperCAmelCase__  )  )  )  )
        UpperCAmelCase_            =  ['''l o 123''', '''lo w 1456''', '''e r</w> 1789''', '''''']

        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''vocab_file''']  )
        UpperCAmelCase_            =  os.path.join(self.tmpdirname  ,							VOCAB_FILES_NAMES['''merges_file''']  )
        with open(self.vocab_file  ,							'''w'''  ) as fp:
              fp.write(json.dumps(UpperCAmelCase__  )  )
        with open(self.merges_file  ,							'''w'''  ) as fp:
              fp.write('''\n'''.join(UpperCAmelCase__  )  )






  def  lowerCAmelCase__ (      self			:       Optional[int]  ,							UpperCAmelCase__			:       Any  )				->List[Any]:
        UpperCAmelCase_            =  '''lower newer'''
        UpperCAmelCase_            =  '''lower newer'''
        return input_text, output_text






  def  lowerCAmelCase__ (      self			:       Union[str, Any]  )				->Tuple:
        UpperCAmelCase_            =  XLMTokenizer(self.vocab_file  ,							self.merges_file  )

        UpperCAmelCase_            =  '''lower'''
        UpperCAmelCase_            =  ['''low''', '''er</w>''']
        UpperCAmelCase_            =  tokenizer.tokenize(UpperCAmelCase__  )
        self.assertListEqual(UpperCAmelCase__  ,							UpperCAmelCase__  )

        UpperCAmelCase_            =  tokens + ['''<unk>''']
        UpperCAmelCase_            =  [14, 15, 20]
        self.assertListEqual(tokenizer.convert_tokens_to_ids(UpperCAmelCase__  )  ,							UpperCAmelCase__  )






  @slow
  def  lowerCAmelCase__ (      self			:       Any  )				->str:
        UpperCAmelCase_            =  XLMTokenizer.from_pretrained('''xlm-mlm-en-2048'''  )

        UpperCAmelCase_            =  tokenizer.encode('''sequence builders'''  ,							add_special_tokens=UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.encode('''multi-sequence build'''  ,							add_special_tokens=UpperCAmelCase__  )

        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  )
        UpperCAmelCase_            =  tokenizer.build_inputs_with_special_tokens(UpperCAmelCase__  ,							UpperCAmelCase__  )

        assert encoded_sentence == [0] + text + [1]
        assert encoded_pair == [0] + text + [1] + text_a + [1]





