



import multiprocessing
import os
from typing import BinaryIO, Optional, Union

from .. import Dataset, Features, NamedSplit, config
from ..formatting import query_table
from ..packaged_modules.csv.csv import Csv
from ..utils import logging
from ..utils.typing import NestedDataStructureLike, PathLike
from .abc import AbstractDatasetReader

class 			__snake_case   ( SCREAMING_SNAKE_CASE):







							'''simple docstring'''






							def __init__(				self	,	a_	,	a_ = None	,	a_ = None	,	a_ = None	,	a_ = False	,	a_ = False	,	a_ = None	,	**a_	,	):
											super().__init__(
											    a_	,	split=a_	,	features=a_	,	cache_dir=a_	,	keep_in_memory=a_	,	streaming=a_	,	num_proc=a_	,	**a_	,	)
											a__					   =		path_or_paths if isinstance(a_	,	a_		) else {self.split: path_or_paths}
											a__					   =		Csv(
											    cache_dir=a_	,	data_files=a_	,	features=a_	,	**a_	,	)







							def _a   (				self		):
											# Build iterable dataset
											if self.streaming:
															a__					   =		self.builder.as_streaming_dataset(split=self.split		)
											# Build regular (map-style) dataset
											else:
															a__					   =		None
															a__					   =		None
															a__					   =		None
															a__					   =		None

															self.builder.download_and_prepare(
															    download_config=a_	,	download_mode=a_	,	verification_mode=a_	,	base_path=a_	,	num_proc=self.num_proc	,	)
															a__					   =		self.builder.as_dataset(
															    split=self.split	,	verification_mode=a_	,	in_memory=self.keep_in_memory		)
											return dataset




class 			__snake_case   :







							'''simple docstring'''






							def __init__(				self	,	a_	,	a_	,	a_ = None	,	a_ = None	,	**a_	,	):
											if num_proc is not None and num_proc <= 0:
															raise ValueError(F'''num_proc {num_proc} must be an integer > 0.'''		)

											a__					   =		dataset
											a__					   =		path_or_buf
											a__					   =		batch_size if batch_size else config.DEFAULT_MAX_BATCH_SIZE
											a__					   =		num_proc
											a__					   =		"""utf-8"""
											a__					   =		to_csv_kwargs


							def _a   (				self		):
											a__					   =		self.to_csv_kwargs.pop("""path_or_buf"""	,	a_		)
											a__					   =		self.to_csv_kwargs.pop("""header"""	,	a_		)
											a__					   =		self.to_csv_kwargs.pop("""index"""	,	a_		)

											if isinstance(self.path_or_buf	,	(str, bytes, os.PathLike)		):
															with open(self.path_or_buf	,	"""wb+"""		) as buffer:
																			a__					   =		self._write(file_obj=a_	,	header=a_	,	index=a_	,	**self.to_csv_kwargs		)
											else:
															a__					   =		self._write(file_obj=self.path_or_buf	,	header=a_	,	index=a_	,	**self.to_csv_kwargs		)
											return written


							def _a   (				self	,	a_		):
											a__   ,      a__   ,      a__   ,      a__					   =		args

											a__					   =		query_table(
											    table=self.dataset.data	,	key=slice(a_	,	offset + self.batch_size		)	,	indices=self.dataset._indices	,	)
											a__					   =		batch.to_pandas().to_csv(
											    path_or_buf=a_	,	header=header if (offset == 0) else False	,	index=a_	,	**a_		)
											return csv_str.encode(self.encoding		)







							def _a   (				self	,	a_	,	a_	,	a_	,	**a_		):
											a__					   =		0

											if self.num_proc is None or self.num_proc == 1:
															for offset in logging.tqdm(
															    range(0	,	len(self.dataset		)	,	self.batch_size		)	,	unit="""ba"""	,	disable=not logging.is_progress_bar_enabled()	,	desc="""Creating CSV from Arrow format"""	,	):
																			a__					   =		self._batch_csv((offset, header, index, to_csv_kwargs)		)
																			written += file_obj.write(a_		)

											else:
															a__   ,      a__					   =		len(self.dataset		), self.batch_size
															with multiprocessing.Pool(self.num_proc		) as pool:
																			for csv_str in logging.tqdm(
																			    pool.imap(
																			        self._batch_csv	,	[(offset, header, index, to_csv_kwargs) for offset in range(0	,	a_	,	a_		)]	,	)	,	total=(num_rows // batch_size) + 1 if num_rows % batch_size else num_rows // batch_size	,	unit="""ba"""	,	disable=not logging.is_progress_bar_enabled()	,	desc="""Creating CSV from Arrow format"""	,	):
																							written += file_obj.write(a_		)

											return written







from __future__ import annotations

from typing import Any






def 				UpperCAmelCase__  (							*_A			):






  """simple docstring"""


  if all(_check_not_integer(_A			) for m in matrix_s			):
    for i in matrix_s[1:]:
      _verify_matrix_sizes(matrix_s[0]      ,      _A			)
    return [[sum(_A			) for t in zip(*_A			)] for m in zip(*_A			)]
  raise TypeError('''Expected a matrix, got int/list instead'''			)






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  if (
      _check_not_integer(_A			)
      and _check_not_integer(_A			)
      and _verify_matrix_sizes(_A      ,      _A			)
  ):
    return [[i - j for i, j in zip(*_A			)] for m in zip(_A      ,      _A			)]
  raise TypeError('''Expected a matrix, got int/list instead'''			)






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  return [[x * n for x in row] for row in matrix]






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  if _check_not_integer(_A			) and _check_not_integer(_A			):
    a_    , a_		    =  _verify_matrix_sizes(_A      ,      _A			)

  if cols[0] != rows[1]:
    a_		    =  (
        '''Cannot multiply matrix of dimensions '''
        f"({rows[0]},{cols[0]}) and ({rows[1]},{cols[1]})"
    )
    raise ValueError(_A			)
  return [
      [sum(m * n for m, n in zip(_A      ,      _A			)			) for j in zip(*_A			)] for i in matrix_a
  ]






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  a_		    =  int(_A			)
  return [[int(row == column			) for column in range(_A			)] for row in range(_A			)]






def 				UpperCAmelCase__  (							_A      ,      _A = True			):






  """simple docstring"""


  if _check_not_integer(_A			):
    if return_map:
      return map(_A      ,      zip(*_A			)			)
    else:
      return list(map(_A      ,      zip(*_A			)			)			)
  raise TypeError('''Expected a matrix, got int/list instead'''			)






def 				UpperCAmelCase__  (							_A      ,      _A      ,      _A			):






  """simple docstring"""


  a_		    =  matrix[:row] + matrix[row + 1 :]
  return [row[:column] + row[column + 1 :] for row in minor]






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  if len(_A			) == 1:
    return matrix[0][0]

  return sum(
      x * determinant(minor(_A      ,      0      ,      _A			)			) * (-1) ** i
      for i, x in enumerate(matrix[0]			)			)






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  a_		    =  determinant(_A			)
  if det == 0:
    return None

  a_		    =  [
      [determinant(minor(_A      ,      _A      ,      _A			)			) for j in range(len(_A			)			)]
      for i in range(len(_A			)			)
  ]

  a_		    =  [
      [x * (-1) ** (row + col) for col, x in enumerate(matrix_minor[row]			)]
      for row in range(len(_A			)			)
  ]
  a_		    =  list(transpose(_A			)			)
  return scalar_multiply(_A      ,      1 / det			)






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  return not isinstance(_A      ,      _A			) and not isinstance(matrix[0]      ,      _A			)






def 				UpperCAmelCase__  (							_A			):






  """simple docstring"""


  return len(_A			), len(matrix[0]			)






def 				UpperCAmelCase__  (							_A      ,      _A			):






  """simple docstring"""


  a_		    =  _shape(_A			) + _shape(_A			)
  if shape[0] != shape[3] or shape[1] != shape[2]:
    a_		    =  (
        '''operands could not be broadcast together with shape '''
        f"({shape[0], shape[1]}), ({shape[2], shape[3]})"
    )
    raise ValueError(_A			)
  return (shape[0], shape[2]), (shape[1], shape[3])






def 				UpperCAmelCase__  (							):






  """simple docstring"""


  a_		    =  [[12, 10], [3, 9]]
  a_		    =  [[3, 4], [7, 4]]
  a_		    =  [[11, 12, 13, 14], [21, 22, 23, 24], [31, 32, 33, 34], [41, 42, 43, 44]]
  a_		    =  [[3, 0, 2], [2, 0, -2], [0, 1, 1]]
  print(f"Add Operation, {add(_A      ,      _A			) = } \n"			)
  print(
      f"Multiply Operation, {multiply(_A      ,      _A			) = } \n"      ,      )
  print(f"Identity: {identity(5			)}\n"			)
  print(f"Minor of {matrix_c} = {minor(_A      ,      1      ,      2			)} \n"			)
  print(f"Determinant of {matrix_b} = {determinant(_A			)} \n"			)
  print(f"Inverse of {matrix_d} = {inverse(_A			)}\n"			)


if __name__ == "__main__":
  import doctest

  doctest.testmod()
  main()
