


import itertools
from dataclasses import dataclass
from typing import Optional

import pandas as pd
import pyarrow as pa

import datasets
from datasets.table import table_cast
@dataclass
class 	lowerCamelCase_       (				datasets.BuilderConfig				):



					'''simple docstring'''







					__UpperCAmelCase            =				None




class 	lowerCamelCase_       (				datasets.ArrowBasedBuilder				):



					'''simple docstring'''







					__UpperCAmelCase            =				PandasConfig






					def A      (				self						)   ->			List[str]:







								'''simple docstring'''

								return datasets.DatasetInfo(features=self.config.features						)






					def A      (				self ,       snake_case_						)   ->			Any:







								'''simple docstring'''

								if not self.config.data_files:
											raise ValueError(F'At least one data file must be specified, but got data_files={self.config.data_files}'						)
								__lowercase 					=   dl_manager.download_and_extract(self.config.data_files						)
								if isinstance(snake_case_ ,       (str, list, tuple)						):
											__lowercase 					=   data_files
											if isinstance(snake_case_ ,       snake_case_						):
														__lowercase 					=   [files]
											# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
											__lowercase 					=   [dl_manager.iter_files(snake_case_						) for file in files]
											return [datasets.SplitGenerator(name=datasets.Split.TRAIN ,       gen_kwargs={'''files''': files}						)]
								__lowercase 					=   []
								for split_name, files in data_files.items():
											if isinstance(snake_case_ ,       snake_case_						):
														__lowercase 					=   [files]
											# Use `dl_manager.iter_files` to skip hidden files in an extracted archive
											__lowercase 					=   [dl_manager.iter_files(snake_case_						) for file in files]
											splits.append(datasets.SplitGenerator(name=snake_case_ ,       gen_kwargs={'''files''': files}						)						)
								return splits






					def A      (				self ,       snake_case_						)   ->			pa.Table:







								'''simple docstring'''

								if self.config.features is not None:
											# more expensive cast to support nested features with keys in a different order
											# allows str <-> int/float or str to Audio for example
											__lowercase 					=   table_cast(snake_case_ ,       self.config.features.arrow_schema						)
								return pa_table






					def A      (				self ,       snake_case_						)   ->			int:







								'''simple docstring'''

								for i, file in enumerate(itertools.chain.from_iterable(snake_case_						)						):
											with open(snake_case_ ,       '''rb'''						) as f:
														__lowercase 					=   pa.Table.from_pandas(pd.read_pickle(snake_case_						)						)
														yield i, self._cast_table(snake_case_						)






def 		lowercase_  (     _UpperCamelCase  ):


			'''simple docstring'''







			__lowercase 					=   len(_UpperCamelCase  )
			__lowercase 					=   len(matrix[0]  )
			__lowercase 					=   min(_UpperCamelCase       ,			_UpperCamelCase  )

			for row in range(_UpperCamelCase  ):
						# Check if diagonal element is not zero
						if matrix[row][row] != 0:
									# Eliminate all the elements below the diagonal
									for col in range(row + 1       ,			_UpperCamelCase  ):
												__lowercase 					=   matrix[col][row] / matrix[row][row]
												for i in range(_UpperCamelCase       ,			_UpperCamelCase  ):
															matrix[col][i] -= multiplier * matrix[row][i]
						else:
									# Find a non-zero diagonal element to swap rows
									__lowercase 					=   True
									for i in range(row + 1       ,			_UpperCamelCase  ):
												if matrix[i][row] != 0:
															__lowercase					, __lowercase 					=   matrix[i], matrix[row]
															__lowercase 					=   False
															break
									if reduce:
												rank -= 1
												for i in range(_UpperCamelCase  ):
															__lowercase 					=   matrix[i][rank]

            # Reduce the row pointer by one to stay on the same row
									row -= 1

			return rank


if __name__ == "__main__":
	import doctest

	doctest.testmod()


