






# 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


UpperCAmelCase__ :     Optional[int]				    =    get_logger(__name__)







class        a__       :







  """simple docstring"""




  UpperCAmelCase__      : List[str]			       ="""dummy_data"""
  UpperCAmelCase__      : str			       ="""datasets"""
  UpperCAmelCase__      : Optional[int]			       =False


  def __init__(			self    : Tuple				,				UpperCAmelCase__    : str				,				UpperCAmelCase__    : str				,				UpperCAmelCase__    : Union[Version, str]				,				UpperCAmelCase__    : Optional[str] = None				,				UpperCAmelCase__    : bool = False				,				UpperCAmelCase__    : bool = True				,				UpperCAmelCase__    : Optional[List[Callable]] = None				,				)					->int:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      str       =   0
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   dataset_name
        SCREAMING_SNAKE_CASE :      List[Any]       =   cache_dir
        SCREAMING_SNAKE_CASE :      Optional[int]       =   use_local_dummy_data
        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   config
        # download_callbacks take a single url as input
        SCREAMING_SNAKE_CASE :      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
        SCREAMING_SNAKE_CASE :      str       =   load_existing_dummy_data

        # TODO(PVP, QL) might need to make this more general
        SCREAMING_SNAKE_CASE :      Tuple       =   str(UpperCAmelCase__		)
        # to be downloaded
        SCREAMING_SNAKE_CASE :      Tuple       =   None
        SCREAMING_SNAKE_CASE :      Dict       =   None


  @property
  def  _lowercase      (			self    : Any		)					->Optional[int]:
        """simple docstring"""







        if self._dummy_file is None:
              SCREAMING_SNAKE_CASE :      List[Any]       =   self.download_dummy_data()
        return self._dummy_file


  @property
  def  _lowercase      (			self    : List[Any]		)					->Any:
        """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  _lowercase      (			self    : Optional[int]		)					->Optional[int]:
        """simple docstring"""







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


  def  _lowercase      (			self    : List[Any]		)					->List[Any]:
        """simple docstring"""







        SCREAMING_SNAKE_CASE :      Union[str, Any]       =   (
            self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
        )

        SCREAMING_SNAKE_CASE :      List[Any]       =   cached_path(
            UpperCAmelCase__				,				cache_dir=self.cache_dir				,				extract_compressed_file=UpperCAmelCase__				,				force_extract=UpperCAmelCase__		)

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


  @property
  def  _lowercase      (			self    : str		)					->str:
        """simple docstring"""







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


  @property
  def  _lowercase      (			self    : Optional[int]		)					->List[Any]:
        """simple docstring"""







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


  @property
  def  _lowercase      (			self    : List[str]		)					->str:
        """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  _lowercase      (			self    : Union[str, Any]				,				UpperCAmelCase__    : List[Any]				,				*UpperCAmelCase__    : Union[str, Any]		)					->Optional[int]:
        """simple docstring"""







        if self.load_existing_dummy_data:
              # dummy data is downloaded and tested
              SCREAMING_SNAKE_CASE :      Any       =   self.dummy_file
        else:
              # dummy data cannot be downloaded and only the path to dummy file is returned
              SCREAMING_SNAKE_CASE :      Any       =   self.dummy_file_name

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


  def  _lowercase      (			self    : List[str]				,				UpperCAmelCase__    : List[str]				,				*UpperCAmelCase__    : Optional[Any]		)					->List[str]:
        """simple docstring"""







        return self.download_and_extract(UpperCAmelCase__		)


  def  _lowercase      (			self    : Union[str, Any]				,				UpperCAmelCase__    : Any				,				UpperCAmelCase__    : List[str]		)					->Union[str, Any]:
        """simple docstring"""







        return self.download_and_extract(UpperCAmelCase__		)


  def  _lowercase      (			self    : Optional[int]				,				UpperCAmelCase__    : Optional[int]				,				*UpperCAmelCase__    : Dict				,				**UpperCAmelCase__    : List[Any]		)					->List[Any]:
        """simple docstring"""







        return path


  def  _lowercase      (			self    : List[str]		)					->Optional[int]:
        """simple docstring"""







        return {}


  def  _lowercase      (			self    : Union[str, Any]				,				UpperCAmelCase__    : Any				,				UpperCAmelCase__    : int		)					->Any:
        """simple docstring"""







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

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

        return dummy_data_dict


  def  _lowercase      (			self    : List[Any]				,				UpperCAmelCase__    : Dict				,				UpperCAmelCase__    : str		)					->Dict:
        """simple docstring"""







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


  def  _lowercase      (			self    : int				,				UpperCAmelCase__    : List[str]				,				UpperCAmelCase__    : Union[str, Any]		)					->str:
        """simple docstring"""







        for download_callback in self.download_callbacks:
              download_callback(UpperCAmelCase__		)
        # 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
        SCREAMING_SNAKE_CASE :      List[str]       =   os.path.join(UpperCAmelCase__				,				urllib.parse.quote_plus(data_url.split("""/"""		)[-1]		)		)
        if os.path.exists(UpperCAmelCase__		) 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    : int		)					->Optional[Any]:
        """simple docstring"""







        pass


  def  _lowercase      (			self    : Optional[int]		)					->Dict:
        """simple docstring"""







        pass


  def  _lowercase      (			self    : Tuple				,				UpperCAmelCase__    : Any		)					->Optional[int]:
        """simple docstring"""







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

        SCREAMING_SNAKE_CASE :      Tuple       =   Path(UpperCAmelCase__		)
        SCREAMING_SNAKE_CASE :      Dict       =   _iter_archive_members(UpperCAmelCase__		) 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(UpperCAmelCase__		).as_posix(), file_path.open("""rb"""		)




  def  _lowercase      (			self    : str				,				UpperCAmelCase__    : List[Any]		)					->Tuple:
        """simple docstring"""







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







from typing import Any

import numpy as np






def 					__lowercase      (     _A			)     ->						bool:
      return np.array_equal(_A						,    matrix.conjugate().T			)






def 					__lowercase      (     _A						,    _A			)     ->						Any:
      SCREAMING_SNAKE_CASE :      Optional[int]       =   v.conjugate().T
      SCREAMING_SNAKE_CASE :      List[Any]       =   v_star.dot(_A			)
      assert isinstance(_A						,    np.ndarray			)
      return (v_star_dot.dot(_A			)) / (v_star.dot(_A			))






def 					__lowercase      (     )     ->						None:
      SCREAMING_SNAKE_CASE :      Any       =   np.array([[2, 2 + 1J, 4], [2 - 1J, 3, 1J], [4, -1J, 1]]			)
      SCREAMING_SNAKE_CASE :      Optional[int]       =   np.array([[1], [2], [3]]			)
      assert is_hermitian(_A			), F"{a} is not hermitian."
      print(rayleigh_quotient(_A						,    _A			)			)

      SCREAMING_SNAKE_CASE :      Any       =   np.array([[1, 2, 4], [2, 3, -1], [4, -1, 1]]			)
      assert is_hermitian(_A			), F"{a} is not hermitian."
      assert rayleigh_quotient(_A						,    _A			) == float(3			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  tests()




