


# Lint as: python3
import os
import re
import urllib.parse
from pathlib import Path
from typing import Callable, List, Optional, Union
from zipfile import ZipFile

from ..utils.file_utils import cached_path, hf_github_url
from ..utils.logging import get_logger
from ..utils.version import Version


A      :    str		=					get_logger(__name__)







class 			_lowercase :


       """simple docstring"""




       A__											=			"dummy_data"
       A__											=			"datasets"
       A__											=			False





       def __init__(   self							:			Union[str, Any]					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			str					,      __lowerCamelCase							:			Union[Version, str]					,      __lowerCamelCase							:			Optional[str] = None					,      __lowerCamelCase							:			bool = False					,      __lowerCamelCase							:			bool = True					,      __lowerCamelCase							:			Optional[List[Callable]] = None					,      ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  0
             lowerCamelCase__		:				List[Any]    =  dataset_name
             lowerCamelCase__		:				Optional[Any]    =  cache_dir
             lowerCamelCase__		:				Dict    =  use_local_dummy_data
             lowerCamelCase__		:				str    =  config
             # download_callbacks take a single url as input
             lowerCamelCase__		:				List[Callable]    =  download_callbacks or []
             # if False, it doesn't load existing files and it returns the paths of the dummy files relative
             # to the dummy_data zip file root
             lowerCamelCase__		:				int    =  load_existing_dummy_data

             # TODO(PVP, QL) might need to make this more general
             lowerCamelCase__		:				List[str]    =  str(__lowerCamelCase       )
             # to be downloaded
             lowerCamelCase__		:				int    =  None
             lowerCamelCase__		:				List[str]    =  None





       @property
       def 						lowerCAmelCase     (   self							:			int       ):


             '''simple docstring'''



             if self._dummy_file is None:
                   lowerCamelCase__		:				List[str]    =  self.download_dummy_data()
             return self._dummy_file





       @property
       def 						lowerCAmelCase     (   self							:			List[str]       ):


             '''simple docstring'''



             if self.config is not None:
                   # structure is dummy / config_name / version_name
                   return os.path.join("dummy"					,      self.config.name					,      self.version_name       )
             # structure is dummy / version_name
             return os.path.join("dummy"					,      self.version_name       )





       @property
       def 						lowerCAmelCase     (   self							:			str       ):


             '''simple docstring'''



             return os.path.join(self.dummy_data_folder					,      "dummy_data.zip"       )





       def 						lowerCAmelCase     (   self							:			Optional[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Tuple    =  (
                 self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
             )

             lowerCamelCase__		:				Dict    =  cached_path(
                 __lowerCamelCase					,      cache_dir=self.cache_dir					,      extract_compressed_file=__lowerCamelCase					,      force_extract=__lowerCamelCase       )

             return os.path.join(__lowerCamelCase					,      self.dummy_file_name       )





       @property
       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



             return os.path.join(self.datasets_scripts_dir					,      self.dataset_name					,      self.dummy_zip_file       )





       @property
       def 						lowerCAmelCase     (   self							:			Any       ):


             '''simple docstring'''



             if self._bucket_url is None:
                   lowerCamelCase__		:				Any    =  hf_github_url(self.dataset_name					,      self.dummy_zip_file.replace(os.sep					,      "/"       )       )
             return self._bucket_url





       @property
       def 						lowerCAmelCase     (   self							:			Union[str, Any]       ):


             '''simple docstring'''



             if os.path.isdir(self.dummy_file       ):
                   return self.dummy_file
             # else cut off path to file -> example `xsum`.
             return "/".join(self.dummy_file.replace(os.sep					,      "/"       ).split("/"       )[:-1]       )





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			List[str]					,      *__lowerCamelCase							:			Any       ):


             '''simple docstring'''



             if self.load_existing_dummy_data:
                   # dummy data is downloaded and tested
                   lowerCamelCase__		:				Union[str, Any]    =  self.dummy_file
             else:
                   # dummy data cannot be downloaded and only the path to dummy file is returned
                   lowerCamelCase__		:				int    =  self.dummy_file_name

             # special case when data_url is a dict
             if isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                   return self.create_dummy_data_dict(__lowerCamelCase					,      __lowerCamelCase       )
             elif isinstance(__lowerCamelCase					,      (list, tuple)       ):
                   return self.create_dummy_data_list(__lowerCamelCase					,      __lowerCamelCase       )
             else:
                   return self.create_dummy_data_single(__lowerCamelCase					,      __lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			str					,      __lowerCamelCase							:			Optional[int]					,      *__lowerCamelCase							:			Any       ):


             '''simple docstring'''



             return self.download_and_extract(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Tuple					,      __lowerCamelCase							:			int					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             return self.download_and_extract(__lowerCamelCase       )





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			int					,      *__lowerCamelCase							:			Optional[int]					,      **__lowerCamelCase							:			Tuple       ):


             '''simple docstring'''



             return path





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             return {}





       def 						lowerCAmelCase     (   self							:			Optional[Any]					,      __lowerCamelCase							:			Union[str, Any]					,      __lowerCamelCase							:			List[Any]       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[int]    =  {}
             for key, single_urls in data_url.items():
                   for download_callback in self.download_callbacks:
                         if isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                               for single_url in single_urls:
                                     download_callback(__lowerCamelCase       )
                         else:
                               lowerCamelCase__		:				Optional[Any]    =  single_urls
                               download_callback(__lowerCamelCase       )
            # we force the name of each key to be the last file / folder name of the url path
            # if the url has arguments, we need to encode them with urllib.parse.quote_plus
                   if isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                         lowerCamelCase__		:				Union[str, Any]    =  [os.path.join(__lowerCamelCase					,      urllib.parse.quote_plus(Path(__lowerCamelCase       ).name       )       ) for x in single_urls]
                   else:
                         lowerCamelCase__		:				Union[str, Any]    =  single_urls
                         lowerCamelCase__		:				Any    =  os.path.join(__lowerCamelCase					,      urllib.parse.quote_plus(Path(__lowerCamelCase       ).name       )       )
                   lowerCamelCase__		:				Tuple    =  value

             # make sure that values are unique
             if all(isinstance(__lowerCamelCase					,      __lowerCamelCase       ) for i in dummy_data_dict.values()       ) and len(set(dummy_data_dict.values()       )       ) < len(
                 dummy_data_dict.values()       ):
                   # append key to value to make its name unique
                   lowerCamelCase__		:				List[Any]    =  {key: value + key for key, value in dummy_data_dict.items()}

             return dummy_data_dict





       def 						lowerCAmelCase     (   self							:			Optional[int]					,      __lowerCamelCase							:			Any					,      __lowerCamelCase							:			Tuple       ):


             '''simple docstring'''



             lowerCamelCase__		:				Optional[Any]    =  []
             # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
             lowerCamelCase__		:				List[str]    =  all(bool(re.findall("[0-9]{3,}-of-[0-9]{3,}"					,      __lowerCamelCase       )       ) for url in data_url       )
             lowerCamelCase__		:				str    =  all(
                 url.startswith("https://ftp.ncbi.nlm.nih.gov/pubmed/baseline/pubmed"       ) for url in data_url       )
             if data_url and (is_tf_records or is_pubmed_records):
                   lowerCamelCase__		:				Optional[Any]    =  [data_url[0]] * len(__lowerCamelCase       )
             for single_url in data_url:
                   for download_callback in self.download_callbacks:
                         download_callback(__lowerCamelCase       )
                   # we force the name of each key to be the last file / folder name of the url path
                   # if the url has arguments, we need to encode them with urllib.parse.quote_plus
                   lowerCamelCase__		:				Optional[int]    =  os.path.join(__lowerCamelCase					,      urllib.parse.quote_plus(single_url.split("/"       )[-1]       )       )
                   dummy_data_list.append(__lowerCamelCase       )
             return dummy_data_list





       def 						lowerCAmelCase     (   self							:			List[str]					,      __lowerCamelCase							:			List[Any]					,      __lowerCamelCase							:			Union[str, Any]       ):


             '''simple docstring'''



             for download_callback in self.download_callbacks:
                   download_callback(__lowerCamelCase       )
             # we force the name of each key to be the last file / folder name of the url path
             # if the url has arguments, we need to encode them with urllib.parse.quote_plus
             lowerCamelCase__		:				Tuple    =  os.path.join(__lowerCamelCase					,      urllib.parse.quote_plus(data_url.split("/"       )[-1]       )       )
             if os.path.exists(__lowerCamelCase       ) or not self.load_existing_dummy_data:
                   return value
             else:
                   # Backward compatibility, maybe deprecate at one point.
                   # For many datasets with single url calls to dl_manager.download_and_extract,
                   # the dummy_data.zip file is actually the zipped downloaded file
                   # while now we expected the dummy_data.zip file to be a directory containing
                   # the downloaded file.
                   return path_to_dummy_data





       def 						lowerCAmelCase     (   self							:			Tuple       ):


             '''simple docstring'''



             pass





       def 						lowerCAmelCase     (   self							:			Dict       ):


             '''simple docstring'''



             pass





       def 						lowerCAmelCase     (   self							:			Any					,      __lowerCamelCase							:			Optional[Any]       ):


             '''simple docstring'''



             def _iter_archive_members(__lowerCamelCase							:			str       ):
                   # this preserves the order of the members inside the ZIP archive
                   lowerCamelCase__		:				Union[str, Any]    =  Path(self.dummy_file       ).parent
                   lowerCamelCase__		:				str    =  path.relative_to(__lowerCamelCase       )
                   with ZipFile(self.local_path_to_dummy_data       ) as zip_file:
                         lowerCamelCase__		:				Any    =  zip_file.namelist()
                   for member in members:
                         if member.startswith(relative_path.as_posix()       ):
                               yield dummy_parent_path.joinpath(__lowerCamelCase       )

             lowerCamelCase__		:				Any    =  Path(__lowerCamelCase       )
             lowerCamelCase__		:				Optional[Any]    =  _iter_archive_members(__lowerCamelCase       ) if self.use_local_dummy_data else path.rglob("*"       )
             for file_path in file_paths:
                   if file_path.is_file() and not file_path.name.startswith((".", "__")       ):
                         yield file_path.relative_to(__lowerCamelCase       ).as_posix(), file_path.open("rb"       )





       def 						lowerCAmelCase     (   self							:			int					,      __lowerCamelCase							:			List[Any]       ):


             '''simple docstring'''



             if not isinstance(__lowerCamelCase					,      __lowerCamelCase       ):
                   lowerCamelCase__		:				int    =  [paths]
             for path in paths:
                   if os.path.isfile(__lowerCamelCase       ):
                         if os.path.basename(__lowerCamelCase       ).startswith((".", "__")       ):
                               return
                         yield path
                   else:
                         for dirpath, dirnames, filenames in os.walk(__lowerCamelCase       ):
                               if os.path.basename(__lowerCamelCase       ).startswith((".", "__")       ):
                                     continue
                               dirnames.sort()
                               for filename in sorted(__lowerCamelCase       ):
                                     if filename.startswith((".", "__")       ):
                                           continue
                                     yield os.path.join(__lowerCamelCase					,      __lowerCamelCase       )






import math
import random
from typing import Any

from .hill_climbing import SearchProblem

def       lowercase_		(		_A			:    Optional[int]    ,					_A			:    bool = True    ,					_A			:    float = math.inf    ,					_A			:    float = -math.inf    ,					_A			:    float = math.inf    ,					_A			:    float = -math.inf    ,					_A			:    bool = False    ,					_A			:    float = 100    ,					_A			:    float = 0.01    ,					_A			:    float = 1    ,					):

      """simple docstring"""




      lowerCamelCase__		:				List[Any]    =  False
      lowerCamelCase__		:				Optional[Any]    =  search_prob
      lowerCamelCase__		:				List[str]    =  start_temperate
      lowerCamelCase__		:				Optional[int]    =  []
      lowerCamelCase__		:				Any    =  0
      lowerCamelCase__		:				Optional[Any]    =  None

      while not search_end:
            lowerCamelCase__		:				Optional[Any]    =  current_state.score()
            if best_state is None or current_score > best_state.score():
                  lowerCamelCase__		:				List[Any]    =  current_state
            scores.append(_A						)
            iterations += 1
            lowerCamelCase__		:				List[Any]    =  None
            lowerCamelCase__		:				Optional[Any]    =  current_state.get_neighbors()
            while (
                next_state is None and neighbors
            ):  # till we do not find a neighbor that we can move to
                  lowerCamelCase__		:				Any    =  random.randint(0    ,					len(_A						) - 1						)  # picking a random neighbor
                  lowerCamelCase__		:				List[Any]    =  neighbors.pop(_A						)
                  lowerCamelCase__		:				Dict    =  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:
                        lowerCamelCase__		:				Dict    =  change * -1  # in case we are finding minimum
                  if change > 0:  # improves the solution
                        lowerCamelCase__		:				Optional[Any]    =  picked_neighbor
                  else:
                        lowerCamelCase__		:				str    =  (math.e) ** (
                            change / current_temp
                        )  # probability generation function
                        if random.random() < probability:  # random number within probability
                              lowerCamelCase__		:				Optional[int]    =  picked_neighbor
            lowerCamelCase__		:				Any    =  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
                  lowerCamelCase__		:				int    =  True
            else:
                  lowerCamelCase__		:				Optional[int]    =  next_state

      if visualization:
            from matplotlib import pyplot as plt

            plt.plot(range(_A						)    ,					_A						)
            plt.xlabel("Iterations"						)
            plt.ylabel("Function values"						)
            plt.show()
      return best_state


if __name__ == "__main__":

    def       lowercase_		(		_A			:    List[str]    ,					_A			:    int						):

          """simple docstring"""




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

    # starting the problem with initial coordinates (12, 47)
    A      :    Any		=					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    A      :    Dict		=					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)
    A      :    str		=					SearchProblem(x=12, y=47, step_size=1, function_to_optimize=test_fa)
    A      :    int		=					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       lowercase_		(		_A			:    int    ,					_A			:    Any						):

          """simple docstring"""




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

    A      :    Optional[int]		=					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    A      :    Union[str, Any]		=					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()}'
    )

    A      :    Any		=					SearchProblem(x=3, y=4, step_size=1, function_to_optimize=test_fa)
    A      :    Optional[int]		=					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()}'
    )


