



'''simple docstring'''






# 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


lowerCAmelCase: Tuple							=						get_logger(__name__)

class 							a__:
    lowercase__			=   """dummy_data"""
    lowercase__			=   """datasets"""
    lowercase__			=   False







    def __init__(				self			:  List[Any]						,      __snake_case			:  str						,      __snake_case			:  str						,      __snake_case			:  Union[Version, str]						,      __snake_case			:  Optional[str] = None						,      __snake_case			:  bool = False						,      __snake_case			:  bool = True						,      __snake_case			:  Optional[List[Callable]] = None						,      ):
      a						: Optional[int]					       =					0
      a						: List[str]					       =					dataset_name
      a						: List[Any]					       =					cache_dir
      a						: Optional[int]					       =					use_local_dummy_data
      a						: Any					       =					config
      # download_callbacks take a single url as input
      a						: 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
      a						: Union[str, Any]					       =					load_existing_dummy_data

      # TODO(PVP, QL) might need to make this more general
      a						: str					       =					str(__snake_case     )
      # to be downloaded
      a						: str					       =					None
      a						: Optional[int]					       =					None







    @property
    def       lowercase_	(				self			:  Any     ):
      if self._dummy_file is None:
        a						: Union[str, Any]					       =					self.download_dummy_data()
      return self._dummy_file







    @property
    def       lowercase_	(				self			:  List[Any]     ):
      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       lowercase_	(				self			:  str     ):
      return os.path.join(self.dummy_data_folder						,      'dummy_data.zip'     )







    def       lowercase_	(				self			:  List[Any]     ):
      a						: Tuple					       =					(
          self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
      )

      a						: Union[str, Any]					       =					cached_path(
          __snake_case						,      cache_dir=self.cache_dir						,      extract_compressed_file=__snake_case						,      force_extract=__snake_case     )

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







    @property
    def       lowercase_	(				self			:  List[str]     ):
      return os.path.join(self.datasets_scripts_dir						,      self.dataset_name						,      self.dummy_zip_file     )







    @property
    def       lowercase_	(				self			:  Optional[int]     ):
      if self._bucket_url is None:
        a						: Optional[Any]					       =					hf_github_url(self.dataset_name						,      self.dummy_zip_file.replace(os.sep						,      '/'     )     )
      return self._bucket_url







    @property
    def       lowercase_	(				self			:  Union[str, Any]     ):
      # return full path if its a dir
      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       lowercase_	(				self			:  Tuple						,      __snake_case			:  str						,      *__snake_case			:  int     ):
      if self.load_existing_dummy_data:
        # dummy data is downloaded and tested
        a						: Tuple					       =					self.dummy_file
      else:
        # dummy data cannot be downloaded and only the path to dummy file is returned
        a						: Optional[Any]					       =					self.dummy_file_name

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







    def       lowercase_	(				self			:  Any						,      __snake_case			:  int						,      *__snake_case			:  int     ):
      return self.download_and_extract(__snake_case     )







    def       lowercase_	(				self			:  List[str]						,      __snake_case			:  List[Any]						,      __snake_case			:  Union[str, Any]     ):
      return self.download_and_extract(__snake_case     )







    def       lowercase_	(				self			:  int						,      __snake_case			:  int						,      *__snake_case			:  Dict						,      **__snake_case			:  str     ):
      return path







    def       lowercase_	(				self			:  Optional[int]     ):
      return {}







    def       lowercase_	(				self			:  List[Any]						,      __snake_case			:  List[Any]						,      __snake_case			:  Optional[Any]     ):
      a						: str					       =					{}
      for key, single_urls in data_url.items():
        for download_callback in self.download_callbacks:
          if isinstance(__snake_case						,      __snake_case     ):
            for single_url in single_urls:
              download_callback(__snake_case     )
          else:
            a						: str					       =					single_urls
            download_callback(__snake_case     )
            # 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(__snake_case						,      __snake_case     ):
          a						: int					       =					[os.path.join(__snake_case						,      urllib.parse.quote_plus(Path(__snake_case     ).name     )     ) for x in single_urls]
        else:
          a						: Union[str, Any]					       =					single_urls
          a						: Tuple					       =					os.path.join(__snake_case						,      urllib.parse.quote_plus(Path(__snake_case     ).name     )     )
        a						: Optional[int]					       =					value

      # make sure that values are unique
      if all(isinstance(__snake_case						,      __snake_case     ) 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
        a						: Any					       =					{key: value + key for key, value in dummy_data_dict.items()}

      return dummy_data_dict







    def       lowercase_	(				self			:  str						,      __snake_case			:  int						,      __snake_case			:  str     ):
      a						: Union[str, Any]					       =					[]
      # trick: if there are many shards named like `data.txt-000001-of-00300`, only use the first one
      a						: Optional[Any]					       =					all(bool(re.findall('[0-9]{3,}-of-[0-9]{3,}'						,      __snake_case     )     ) for url in data_url     )
      a						: Union[str, Any]					       =					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):
        a						: List[Any]					       =					[data_url[0]] * len(__snake_case     )
      for single_url in data_url:
        for download_callback in self.download_callbacks:
          download_callback(__snake_case     )
        # 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
        a						: List[str]					       =					os.path.join(__snake_case						,      urllib.parse.quote_plus(single_url.split('/'     )[-1]     )     )
        dummy_data_list.append(__snake_case     )
      return dummy_data_list







    def       lowercase_	(				self			:  List[str]						,      __snake_case			:  Union[str, Any]						,      __snake_case			:  List[str]     ):
      for download_callback in self.download_callbacks:
        download_callback(__snake_case     )
      # 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
      a						: Optional[int]					       =					os.path.join(__snake_case						,      urllib.parse.quote_plus(data_url.split('/'     )[-1]     )     )
      if os.path.exists(__snake_case     ) 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       lowercase_	(				self			:  Optional[int]     ):
      pass







    def       lowercase_	(				self			:  Union[str, Any]     ):
      pass







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

      a						: Union[str, Any]					       =					Path(__snake_case     )
      a						: List[Any]					       =					_iter_archive_members(__snake_case     ) 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(__snake_case     ).as_posix(), file_path.open('rb'     )







    def       lowercase_	(				self			:  Union[str, Any]						,      __snake_case			:  List[Any]     ):
      if not isinstance(__snake_case						,      __snake_case     ):
        a						: Union[str, Any]					       =					[paths]
      for path in paths:
        if os.path.isfile(__snake_case     ):
          if os.path.basename(__snake_case     ).startswith(('.', '__')     ):
            return
          yield path
        else:
          for dirpath, dirnames, filenames in os.walk(__snake_case     ):
            if os.path.basename(__snake_case     ).startswith(('.', '__')     ):
              continue
            dirnames.sort()
            for filename in sorted(__snake_case     ):
              if filename.startswith(('.', '__')     ):
                continue
              yield os.path.join(__snake_case						,      __snake_case     )




'''simple docstring'''






from math import factorial, pi
def 				lowerCamelCase__	(						_A			,      _A = 30    ):

  if not isinstance(_A			,      (int, float)    ):
    raise ValueError('maclaurin_sin() requires either an int or float for theta'    )

  if not isinstance(_A			,      _A    ) or accuracy <= 0:
    raise ValueError('maclaurin_sin() requires a positive int for accuracy'    )

  a						: Dict					       =					float(_A    )
  a						: List[Any]					       =					theta // (2 * pi)
  theta -= 2 * div * pi
  return sum(
      (-1) ** r * theta ** (2 * r + 1) / factorial(2 * r + 1    ) for r in range(_A    )    )
def 				lowerCamelCase__	(						_A			,      _A = 30    ):

  if not isinstance(_A			,      (int, float)    ):
    raise ValueError('maclaurin_cos() requires either an int or float for theta'    )

  if not isinstance(_A			,      _A    ) or accuracy <= 0:
    raise ValueError('maclaurin_cos() requires a positive int for accuracy'    )

  a						: int					       =					float(_A    )
  a						: str					       =					theta // (2 * pi)
  theta -= 2 * div * pi
  return sum((-1) ** r * theta ** (2 * r) / factorial(2 * r    ) for r in range(_A    )    )


if __name__ == "__main__":
     import doctest

     doctest.testmod()

     print(maclaurin_sin(1_0))
     print(maclaurin_sin(-1_0))
     print(maclaurin_sin(1_0, 1_5))
     print(maclaurin_sin(-1_0, 1_5))

     print(maclaurin_cos(5))
     print(maclaurin_cos(-5))
     print(maclaurin_cos(1_0, 1_5))
     print(maclaurin_cos(-1_0, 1_5))