



import os
from argparse import ArgumentParser
from pathlib import Path
from shutil import copyfile, rmtree
from typing import Generator

import datasets.config
from datasets.builder import DatasetBuilder
from datasets.commands import BaseDatasetsCLICommand
from datasets.download.download_manager import DownloadMode
from datasets.load import dataset_module_factory, import_main_class
from datasets.utils.filelock import logger as fl_logger
from datasets.utils.info_utils import VerificationMode
from datasets.utils.logging import ERROR, get_logger


a_								=   get_logger(__name__)





def 						a__     (						_UpperCamelCase     :	int							):
   return TestCommand(
       args.dataset	,args.name	,args.cache_dir	,args.data_dir	,args.all_configs	,args.save_info or args.save_infos	,args.ignore_verifications	,args.force_redownload	,args.clear_cache	,)





class 	__lowerCAmelCase       (		lowerCAmelCase__				):
 lowerCAmelCase__       =					False  # to tell pytest it's not a test class




 @staticmethod
 def     lowerCamelCase (  __UpperCAmelCase			):



    '''simple docstring'''
    __lowerCamelCase  							=      parser.add_parser('''test'''		,			help='''Test dataset implementation.'''			)
    test_parser.add_argument('''--name'''		,			type=__UpperCAmelCase		,			default=__UpperCAmelCase		,			help='''Dataset processing name'''			)
    test_parser.add_argument(
        '''--cache_dir'''		,			type=__UpperCAmelCase		,			default=__UpperCAmelCase		,			help='''Cache directory where the datasets are stored.'''		,			)
    test_parser.add_argument(
        '''--data_dir'''		,			type=__UpperCAmelCase		,			default=__UpperCAmelCase		,			help='''Can be used to specify a manual directory to get the files from.'''		,			)
    test_parser.add_argument('''--all_configs'''		,			action='''store_true'''		,			help='''Test all dataset configurations'''			)
    test_parser.add_argument(
        '''--save_info'''		,			action='''store_true'''		,			help='''Save the dataset infos in the dataset card (README.md)'''			)
    test_parser.add_argument(
        '''--ignore_verifications'''		,			action='''store_true'''		,			help='''Run the test without checksums and splits checks.'''		,			)
    test_parser.add_argument('''--force_redownload'''		,			action='''store_true'''		,			help='''Force dataset redownload'''			)
    test_parser.add_argument(
        '''--clear_cache'''		,			action='''store_true'''		,			help='''Remove downloaded files and cached datasets after each config test'''		,			)
    # aliases
    test_parser.add_argument('''--save_infos'''		,			action='''store_true'''		,			help='''alias to save_info'''			)
    test_parser.add_argument('''dataset'''		,			type=__UpperCAmelCase		,			help='''Name of the dataset to download'''			)
    test_parser.set_defaults(func=_test_command_factory			)




 def __init__(  self		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			):



    '''simple docstring'''
    __lowerCamelCase  							=      dataset
    __lowerCamelCase  							=      name
    __lowerCamelCase  							=      cache_dir
    __lowerCamelCase  							=      data_dir
    __lowerCamelCase  							=      all_configs
    __lowerCamelCase  							=      save_infos
    __lowerCamelCase  							=      ignore_verifications
    __lowerCamelCase  							=      force_redownload
    __lowerCamelCase  							=      clear_cache
    if clear_cache and not cache_dir:
       print(
           '''When --clear_cache is used, specifying a cache directory is mandatory.\n'''
           '''The \'download\' folder of the cache directory and the dataset builder cache will be deleted after each configuration test.\n'''
           '''Please provide a --cache_dir that will be used to test the dataset script.'''			)
       exit(1			)
    if save_infos:
       __lowerCamelCase  							=      True




 def     lowerCamelCase (  self			):



    '''simple docstring'''
    fl_logger().setLevel(__UpperCAmelCase			)
    if self._name is not None and self._all_configs:
       print('''Both parameters `config` and `all_configs` can\'t be used at once.'''			)
       exit(1			)
    __lowerCamelCase							,__lowerCamelCase  							=      self._dataset, self._name
    __lowerCamelCase  							=      dataset_module_factory(__UpperCAmelCase			)
    __lowerCamelCase  							=      import_main_class(module.module_path			)
    __lowerCamelCase  							=      len(builder_cls.BUILDER_CONFIGS			) if self._all_configs and builder_cls.BUILDER_CONFIGS else 1

    def get_builders() -> Generator[DatasetBuilder, None, None]:
       if self._all_configs and builder_cls.BUILDER_CONFIGS:
          for i, config in enumerate(builder_cls.BUILDER_CONFIGS			):
             if "config_name" in module.builder_kwargs:
                yield builder_cls(
                    cache_dir=self._cache_dir		,			data_dir=self._data_dir		,			**module.builder_kwargs		,			)
             else:
                yield builder_cls(
                    config_name=config.name		,			cache_dir=self._cache_dir		,			data_dir=self._data_dir		,			**module.builder_kwargs		,			)
       else:
          if "config_name" in module.builder_kwargs:
             yield builder_cls(cache_dir=self._cache_dir		,			data_dir=self._data_dir		,			**module.builder_kwargs			)
          else:
             yield builder_cls(
                 config_name=__UpperCAmelCase		,			cache_dir=self._cache_dir		,			data_dir=self._data_dir		,			**module.builder_kwargs		,			)

    for j, builder in enumerate(get_builders()			):
       print(F"""Testing builder '{builder.config.name}' ({j + 1}/{n_builders})"""			)
       __lowerCamelCase  							=      os.path.exists(
           os.path.join(builder.get_imported_module_dir()		,			datasets.config.DATASETDICT_INFOS_FILENAME			)			)  # record checksums only if we need to update a (deprecated) dataset_infos.json
       builder.download_and_prepare(
           download_mode=DownloadMode.REUSE_CACHE_IF_EXISTS
           if not self._force_redownload
           else DownloadMode.FORCE_REDOWNLOAD		,			verification_mode=VerificationMode.NO_CHECKS
           if self._ignore_verifications
           else VerificationMode.ALL_CHECKS		,			try_from_hf_gcs=__UpperCAmelCase		,			)
       builder.as_dataset()
       if self._save_infos:
          builder._save_infos()

       # If save_infos=True, the dataset card (README.md) is created next to the loaded module file.
       # The dataset_infos are saved in the YAML part of the README.md

       # Let's move it to the original directory of the dataset script, to allow the user to
       # upload them on S3 at the same time afterwards.
       if self._save_infos:
          __lowerCamelCase  							=      os.path.join(builder_cls.get_imported_module_dir()		,			'''README.md'''			)
          __lowerCamelCase  							=      Path(__UpperCAmelCase			).name + '''.py'''
          __lowerCamelCase  							=      os.path.join(__UpperCAmelCase		,			__UpperCAmelCase			)
          if os.path.isfile(__UpperCAmelCase			):
             __lowerCamelCase  							=      os.path.dirname(__UpperCAmelCase			)
          elif os.path.isfile(__UpperCAmelCase			):
             __lowerCamelCase  							=      path
          elif os.path.isdir(__UpperCAmelCase			):  # for local directories containing only data files
             __lowerCamelCase  							=      path
          else:  # in case of a remote dataset
             __lowerCamelCase  							=      None
             print(F"""Dataset card saved at {dataset_readme_path}"""			)

          # Move dataset_info back to the user
          if dataset_dir is not None:
             __lowerCamelCase  							=      os.path.join(__UpperCAmelCase		,			'''README.md'''			)
             copyfile(__UpperCAmelCase		,			__UpperCAmelCase			)
             print(F"""Dataset card saved at {user_dataset_readme_path}"""			)

            # If clear_cache=True, the download folder and the dataset builder cache directory are deleted
       if self._clear_cache:
          if os.path.isdir(builder._cache_dir			):
             logger.warning(F"""Clearing cache at {builder._cache_dir}"""			)
             rmtree(builder._cache_dir			)
          __lowerCamelCase  							=      os.path.join(self._cache_dir		,			datasets.config.DOWNLOADED_DATASETS_DIR			)
          if os.path.isdir(__UpperCAmelCase			):
             logger.warning(F"""Clearing cache at {download_dir}"""			)
             rmtree(__UpperCAmelCase			)

    print('''Test successful.'''			)











import math



class 	__lowerCAmelCase       :




 def __init__(  self		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase			):



    '''simple docstring'''
    __lowerCamelCase  							=      x
    __lowerCamelCase  							=      y
    __lowerCamelCase  							=      step_size
    __lowerCamelCase  							=      function_to_optimize




 def     lowerCamelCase (  self			):



    '''simple docstring'''
    return self.function(self.x		,			self.y			)




 def     lowerCamelCase (  self			):



    '''simple docstring'''
    __lowerCamelCase  							=      self.step_size
    return [
        SearchProblem(__UpperCAmelCase		,			__UpperCAmelCase		,			__UpperCAmelCase		,			self.function			)
        for x, y in (
            (self.x - step_size, self.y - step_size),
            (self.x - step_size, self.y),
            (self.x - step_size, self.y + step_size),
            (self.x, self.y - step_size),
            (self.x, self.y + step_size),
            (self.x + step_size, self.y - step_size),
            (self.x + step_size, self.y),
            (self.x + step_size, self.y + step_size),
        )
    ]




 def __hash__(  self			):



    '''simple docstring'''
    return hash(str(self			)			)




 def __eq__(  self		,			__UpperCAmelCase			):



    '''simple docstring'''
    if isinstance(__UpperCAmelCase		,			__UpperCAmelCase			):
       return hash(str(self			)			) == hash(str(__UpperCAmelCase			)			)
    return False




 def __str__(  self			):



    '''simple docstring'''
    return F"""x: {self.x} y: {self.y}"""





def 						a__     (						_UpperCamelCase     :	Tuple	,_UpperCamelCase     :	bool = True	,_UpperCamelCase     :	float = math.inf	,_UpperCamelCase     :	float = -math.inf	,_UpperCamelCase     :	float = math.inf	,_UpperCamelCase     :	float = -math.inf	,_UpperCamelCase     :	bool = False	,_UpperCamelCase     :	int = 1_00_00	,):
   __lowerCamelCase  							=      search_prob
   __lowerCamelCase  							=      []  # list to store the current score at each iteration
   __lowerCamelCase  							=      0
   __lowerCamelCase  							=      False
   __lowerCamelCase  							=      set()
   while not solution_found and iterations < max_iter:
      visited.add(_UpperCamelCase							)
      iterations += 1
      __lowerCamelCase  							=      current_state.score()
      scores.append(_UpperCamelCase							)
      __lowerCamelCase  							=      current_state.get_neighbors()
      __lowerCamelCase  							=      -math.inf
      __lowerCamelCase  							=      math.inf
      __lowerCamelCase  							=      None  # to hold the next best neighbor
      for neighbor in neighbors:
         if neighbor in visited:
            continue  # do not want to visit the same state again
         if (
             neighbor.x > max_x
             or neighbor.x < min_x
             or neighbor.y > max_y
             or neighbor.y < min_y
         ):
            continue  # neighbor outside our bounds
         __lowerCamelCase  							=      neighbor.score() - current_score
         if find_max:  # finding max
            # going to direction with greatest ascent
            if change > max_change and change > 0:
               __lowerCamelCase  							=      change
               __lowerCamelCase  							=      neighbor
         else:  # finding min
            # to direction with greatest descent
            if change < min_change and change < 0:
               __lowerCamelCase  							=      change
               __lowerCamelCase  							=      neighbor
      if next_state is not None:
         # we found at least one neighbor which improved the current state
         __lowerCamelCase  							=      next_state
      else:
         # since we have no neighbor that improves the solution we stop the search
         __lowerCamelCase  							=      True

   if visualization:
      from matplotlib import pyplot as plt

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

   return current_state


if __name__ == "__main__":
  import doctest

  doctest.testmod()





  def 						a__     (						_UpperCamelCase     :	Union[str, Any]	,_UpperCamelCase     :	Union[str, Any]							):
     return (x**2) + (y**2)

  # starting the problem with initial coordinates (3, 4)
  a_								=   SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(prob, find_max=False)
  print(
      """The minimum score for f(x, y) = x^2 + y^2 found via hill climbing: """
      f"{local_min.score()}"
  )

  # starting the problem with initial coordinates (12, 47)
  a_								=   SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(
      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()}"
  )





  def 						a__     (						_UpperCamelCase     :	int	,_UpperCamelCase     :	Dict							):
     return (3 * x**2) - (6 * y)

  a_								=   SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
  a_								=   hill_climbing(prob, find_max=True)





  print(
      """The maximum score for f(x, y) = x^2 + y^2 found via hill climbing: """
      f"{local_min.score()}"
  )






