





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							:					Dict		    =		get_logger(__name__)


class     __magic_name__     :





     """simple docstring"""



     __UpperCamelCase    			=   '''dummy_data'''
     __UpperCamelCase    			=   '''datasets'''
     __UpperCamelCase    			=   False



     def __init__(							self				:Tuple	,					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	,					):





        '''simple docstring'''




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

        # TODO(PVP, QL) might need to make this more general
        A_    : Dict								=	str(lowercase_     )
        # to be downloaded
        A_    : List[str]								=	None
        A_    : List[Any]								=	None



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:Dict     ):





        '''simple docstring'''




        if self._dummy_file is None:
           A_    : Optional[Any]								=	self.download_dummy_data()
        return self._dummy_file



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:Optional[int]     ):





        '''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   SCREAMING_SNAKE_CASE						(							self				:Optional[Any]     ):





        '''simple docstring'''




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



     def   SCREAMING_SNAKE_CASE						(							self				:Tuple     ):





        '''simple docstring'''




        A_    : Optional[int]								=	(
            self.local_path_to_dummy_data if self.use_local_dummy_data is True else self.github_path_to_dummy_data
        )

        A_    : Tuple								=	cached_path(
            lowercase_	,					cache_dir=self.cache_dir	,					extract_compressed_file=lowercase_	,					force_extract=lowercase_     )

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



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:str     ):





        '''simple docstring'''




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



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:int     ):





        '''simple docstring'''




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



     @property
     def   SCREAMING_SNAKE_CASE						(							self				:Dict     ):





        '''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   SCREAMING_SNAKE_CASE						(							self				:str	,					snake_case				:List[Any]	,					*snake_case				:Optional[Any]     ):





        '''simple docstring'''




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

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



     def   SCREAMING_SNAKE_CASE						(							self				:Union[str, Any]	,					snake_case				:Optional[Any]	,					*snake_case				:Optional[int]     ):





        '''simple docstring'''




        return self.download_and_extract(lowercase_     )



     def   SCREAMING_SNAKE_CASE						(							self				:List[str]	,					snake_case				:List[str]	,					snake_case				:Optional[Any]     ):





        '''simple docstring'''




        return self.download_and_extract(lowercase_     )



     def   SCREAMING_SNAKE_CASE						(							self				:int	,					snake_case				:str	,					*snake_case				:List[str]	,					**snake_case				:Optional[Any]     ):





        '''simple docstring'''




        return path



     def   SCREAMING_SNAKE_CASE						(							self				:int     ):





        '''simple docstring'''




        return {}



     def   SCREAMING_SNAKE_CASE						(							self				:str	,					snake_case				:List[Any]	,					snake_case				:Optional[Any]     ):





        '''simple docstring'''




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

        # make sure that values are unique
        if all(isinstance(lowercase_	,					lowercase_     ) 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_    : List[Any]								=	{key: value + key for key, value in dummy_data_dict.items()}

        return dummy_data_dict



     def   SCREAMING_SNAKE_CASE						(							self				:Union[str, Any]	,					snake_case				:str	,					snake_case				:List[Any]     ):





        '''simple docstring'''




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



     def   SCREAMING_SNAKE_CASE						(							self				:List[Any]	,					snake_case				:Optional[int]	,					snake_case				:Dict     ):





        '''simple docstring'''




        for download_callback in self.download_callbacks:
           download_callback(lowercase_     )
        # 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[Any]								=	os.path.join(lowercase_	,					urllib.parse.quote_plus(data_url.split("/"     )[-1]     )     )
        if os.path.exists(lowercase_     ) 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   SCREAMING_SNAKE_CASE						(							self				:Optional[Any]     ):





        '''simple docstring'''




        pass



     def   SCREAMING_SNAKE_CASE						(							self				:Optional[int]     ):





        '''simple docstring'''




        pass



     def   SCREAMING_SNAKE_CASE						(							self				:Any	,					snake_case				:Optional[Any]     ):





        '''simple docstring'''




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

        A_    : Union[str, Any]								=	Path(lowercase_     )
        A_    : Optional[int]								=	_iter_archive_members(lowercase_     ) 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(lowercase_     ).as_posix(), file_path.open("rb"     )





     def   SCREAMING_SNAKE_CASE						(							self				:str	,					snake_case				:Dict     ):





        '''simple docstring'''




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







'''simple docstring'''

from __future__ import annotations

from decimal import Decimal

from numpy import array





def 						UpperCamelCase				(							_lowerCamelCase					:					list[list[float]]       ):
    A__				=			Decimal

    # Check if the provided matrix has 2 rows and 2 columns
    # since this implementation only works for 2x2 matrices
    if len(_lowerCamelCase       ) == 2 and len(matrix[0]       ) == 2 and len(matrix[1]       ) == 2:
        # Calculate the determinant of the matrix
        A__				=			float(
            d(matrix[0][0]       ) * d(matrix[1][1]       ) - d(matrix[1][0]       ) * d(matrix[0][1]       )       )
        if determinant == 0:
            raise ValueError("This matrix has no inverse."       )

        # Creates a copy of the matrix with swapped positions of the elements
        A__				=			[[0.0, 0.0], [0.0, 0.0]]
        A__,	A__				=			matrix[1][1], matrix[0][0]
        A__,	A__				=			-matrix[1][0], -matrix[0][1]

        # Calculate the inverse of the matrix
        return [
            [(float(d(_lowerCamelCase       )       ) / determinant) or 0.0 for n in row] for row in swapped_matrix
        ]
    elif (
        len(_lowerCamelCase       ) == 3
        and len(matrix[0]       ) == 3
        and len(matrix[1]       ) == 3
        and len(matrix[2]       ) == 3
    ):
        # Calculate the determinant of the matrix using Sarrus rule
        A__				=			float(
            (
                (d(matrix[0][0]       ) * d(matrix[1][1]       ) * d(matrix[2][2]       ))
                + (d(matrix[0][1]       ) * d(matrix[1][2]       ) * d(matrix[2][0]       ))
                + (d(matrix[0][2]       ) * d(matrix[1][0]       ) * d(matrix[2][1]       ))
            )
            - (
                (d(matrix[0][2]       ) * d(matrix[1][1]       ) * d(matrix[2][0]       ))
                + (d(matrix[0][1]       ) * d(matrix[1][0]       ) * d(matrix[2][2]       ))
                + (d(matrix[0][0]       ) * d(matrix[1][2]       ) * d(matrix[2][1]       ))
            )       )
        if determinant == 0:
            raise ValueError("This matrix has no inverse."       )

        # Creating cofactor matrix
        A__				=			[
            [d(0.0       ), d(0.0       ), d(0.0       )],
            [d(0.0       ), d(0.0       ), d(0.0       )],
            [d(0.0       ), d(0.0       ), d(0.0       )],
        ]
        A__				=			(d(matrix[1][1]       ) * d(matrix[2][2]       )) - (
            d(matrix[1][2]       ) * d(matrix[2][1]       )
        )
        A__				=			-(
            (d(matrix[1][0]       ) * d(matrix[2][2]       )) - (d(matrix[1][2]       ) * d(matrix[2][0]       ))
        )
        A__				=			(d(matrix[1][0]       ) * d(matrix[2][1]       )) - (
            d(matrix[1][1]       ) * d(matrix[2][0]       )
        )
        A__				=			-(
            (d(matrix[0][1]       ) * d(matrix[2][2]       )) - (d(matrix[0][2]       ) * d(matrix[2][1]       ))
        )
        A__				=			(d(matrix[0][0]       ) * d(matrix[2][2]       )) - (
            d(matrix[0][2]       ) * d(matrix[2][0]       )
        )
        A__				=			-(
            (d(matrix[0][0]       ) * d(matrix[2][1]       )) - (d(matrix[0][1]       ) * d(matrix[2][0]       ))
        )
        A__				=			(d(matrix[0][1]       ) * d(matrix[1][2]       )) - (
            d(matrix[0][2]       ) * d(matrix[1][1]       )
        )
        A__				=			-(
            (d(matrix[0][0]       ) * d(matrix[1][2]       )) - (d(matrix[0][2]       ) * d(matrix[1][0]       ))
        )
        A__				=			(d(matrix[0][0]       ) * d(matrix[1][1]       )) - (
            d(matrix[0][1]       ) * d(matrix[1][0]       )
        )

        # Transpose the cofactor matrix (Adjoint matrix)
        A__				=			array(_lowerCamelCase       )
        for i in range(3       ):
            for j in range(3       ):
                A__				=			cofactor_matrix[j][i]

        # Inverse of the matrix using the formula (1/determinant) * adjoint matrix
        A__				=			array(_lowerCamelCase       )
        for i in range(3       ):
            for j in range(3       ):
                inverse_matrix[i][j] /= d(_lowerCamelCase       )

        # Calculate the inverse of the matrix
        return [[float(d(_lowerCamelCase       )       ) or 0.0 for n in row] for row in inverse_matrix]
    raise ValueError("Please provide a matrix of size 2x2 or 3x3."       )



