


'''simple docstring'''




import io
import itertools
import json
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa
import pyarrow.json as paj

import datasets
from datasets.table import table_cast
from datasets.utils.file_utils import readline


__snake_case    						=datasets.utils.logging.get_logger(__name__)

@dataclass
class 		UpperCAmelCase_      (  datasets.BuilderConfig		):
     lowerCamelCase				:	Optional[datasets.Features]		=     None
     lowerCamelCase				:	str		=     "utf-8"
     lowerCamelCase				:	Optional[str]		=     None
     lowerCamelCase				:	Optional[str]		=     None
     lowerCamelCase				:	bool		=     True  # deprecated
     lowerCamelCase				:	Optional[int]		=     None  # deprecated
     lowerCamelCase				:	int		=     10 << 20  # 10MB
     lowerCamelCase				:	Optional[bool]		=     None




class 		UpperCAmelCase_      (  datasets.ArrowBasedBuilder		):
     lowerCamelCase				:	int		=     JsonConfig





     def 							__UpperCAmelCase      ( self       :      List[str]    )				->  Union[str, Any]:
        if self.config.block_size is not None:
           logger.warning('The JSON loader parameter `block_size` is deprecated. Please use `chunksize` instead'    )
           lowerCAmelCase     =			self.config.block_size
        if self.config.use_threads is not True:
           logger.warning(
               'The JSON loader parameter `use_threads` is deprecated and doesn\'t have any effect anymore.'    )
        if self.config.newlines_in_values is not None:
           raise ValueError('The JSON loader parameter `newlines_in_values` is no longer supported'    )
        return datasets.DatasetInfo(features=self.config.features    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    ,      UpperCAmelCase__       :      Union[str, Any]    )				->  Any:
        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}'''    )
        lowerCAmelCase     =			dl_manager.download_and_extract(self.config.data_files    )
        if isinstance(UpperCAmelCase__    ,      (str, list, tuple)    ):
           lowerCAmelCase     =			data_files
           if isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):
              lowerCAmelCase     =			[files]
           lowerCAmelCase     =			[dl_manager.iter_files(UpperCAmelCase__    ) for file in files]
           return [datasets.SplitGenerator(name=datasets.Split.TRAIN    ,      gen_kwargs={'files': files}    )]
        lowerCAmelCase     =			[]
        for split_name, files in data_files.items():
           if isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):
              lowerCAmelCase     =			[files]
           lowerCAmelCase     =			[dl_manager.iter_files(UpperCAmelCase__    ) for file in files]
           splits.append(datasets.SplitGenerator(name=UpperCAmelCase__    ,      gen_kwargs={'files': files}    )    )
        return splits





     def 							__UpperCAmelCase      ( self       :      List[str]    ,      UpperCAmelCase__       :      pa.Table    )				->  pa.Table:
        if self.config.features is not None:
           # adding missing columns
           for column_name in set(self.config.features    ) - set(pa_table.column_names    ):
              lowerCAmelCase     =			self.config.features.arrow_schema.field(UpperCAmelCase__    ).type
              lowerCAmelCase     =			pa_table.append_column(UpperCAmelCase__    ,      pa.array([None] * len(UpperCAmelCase__    )    ,      type=UpperCAmelCase__    )    )
           # more expensive cast to support nested structures with keys in a different order
           # allows str <-> int/float or str to Audio for example
           lowerCAmelCase     =			table_cast(UpperCAmelCase__    ,      self.config.features.arrow_schema    )
        return pa_table





     def 							__UpperCAmelCase      ( self       :      Optional[int]    ,      UpperCAmelCase__       :      List[str]    )				->  Any:
        for file_idx, file in enumerate(itertools.chain.from_iterable(UpperCAmelCase__    )    ):
           # If the file is one json object and if we need to look at the list of items in one specific field
           if self.config.field is not None:
              with open(UpperCAmelCase__    ,      encoding=self.config.encoding    ,      errors=self.config.encoding_errors    ) as f:
                 lowerCAmelCase     =			json.load(UpperCAmelCase__    )

              # We keep only the field we are interested in
              lowerCAmelCase     =			dataset[self.config.field]

              # We accept two format: a list of dicts or a dict of lists
              if isinstance(UpperCAmelCase__    ,      (list, tuple)    ):
                 lowerCAmelCase     =			set().union(*[row.keys() for row in dataset]    )
                 lowerCAmelCase     =			{col: [row.get(UpperCAmelCase__    ) for row in dataset] for col in keys}
              else:
                 lowerCAmelCase     =			dataset
              lowerCAmelCase     =			pa.Table.from_pydict(UpperCAmelCase__    )
              yield file_idx, self._cast_table(UpperCAmelCase__    )

           # If the file has one json object per line
           else:
              with open(UpperCAmelCase__    ,      'rb'    ) as f:
                 lowerCAmelCase     =			0
                 # Use block_size equal to the chunk size divided by 32 to leverage multithreading
                 # Set a default minimum value of 16kB if the chunk size is really small
                 lowerCAmelCase     =			max(self.config.chunksize // 3_2    ,      1_6 << 1_0    )
                 lowerCAmelCase     =			(
                     self.config.encoding_errors if self.config.encoding_errors is not None else 'strict'
                 )
                 while True:
                    lowerCAmelCase     =			f.read(self.config.chunksize    )
                    if not batch:
                       break
                    # Finish current line
                    try:
                       batch += f.readline()
                    except (AttributeError, io.UnsupportedOperation):
                       batch += readline(UpperCAmelCase__    )
                    # PyArrow only accepts utf-8 encoded bytes
                    if self.config.encoding != "utf-8":
                       lowerCAmelCase     =			batch.decode(self.config.encoding    ,      errors=UpperCAmelCase__    ).encode('utf-8'    )
                    try:
                       while True:
                          try:
                             lowerCAmelCase     =			paj.read_json(
                                 io.BytesIO(UpperCAmelCase__    )    ,      read_options=paj.ReadOptions(block_size=UpperCAmelCase__    )    )
                             break
                          except (pa.ArrowInvalid, pa.ArrowNotImplementedError) as e:
                             if (
                                 isinstance(UpperCAmelCase__    ,      pa.ArrowInvalid    )
                                 and "straddling" not in str(UpperCAmelCase__    )
                                 or block_size > len(UpperCAmelCase__    )
                             ):
                                raise
                             else:
                                # Increase the block size in case it was too small.
                                # The block size will be reset for the next file.
                                logger.debug(
                                    F'''Batch of {len(UpperCAmelCase__    )} bytes couldn\'t be parsed with block_size={block_size}. Retrying with block_size={block_size * 2}.'''    )
                                block_size *= 2
                    except pa.ArrowInvalid as e:
                       try:
                          with open(
                              UpperCAmelCase__    ,      encoding=self.config.encoding    ,      errors=self.config.encoding_errors    ) as f:
                             lowerCAmelCase     =			json.load(UpperCAmelCase__    )
                       except json.JSONDecodeError:
                          logger.error(F'''Failed to read file \'{file}\' with error {type(UpperCAmelCase__    )}: {e}'''    )
                          raise e
                       # If possible, parse the file as a list of json objects and exit the loop
                       if isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):  # list is the only sequence type supported in JSON
                          try:
                             lowerCAmelCase     =			set().union(*[row.keys() for row in dataset]    )
                             lowerCAmelCase     =			{col: [row.get(UpperCAmelCase__    ) for row in dataset] for col in keys}
                             lowerCAmelCase     =			pa.Table.from_pydict(UpperCAmelCase__    )
                          except (pa.ArrowInvalid, AttributeError) as e:
                             logger.error(F'''Failed to read file \'{file}\' with error {type(UpperCAmelCase__    )}: {e}'''    )
                             raise ValueError(F'''Not able to read records in the JSON file at {file}.'''    ) from None
                          yield file_idx, self._cast_table(UpperCAmelCase__    )
                          break
                       else:
                          logger.error(F'''Failed to read file \'{file}\' with error {type(UpperCAmelCase__    )}: {e}'''    )
                          raise ValueError(
                              F'''Not able to read records in the JSON file at {file}. '''
                              F'''You should probably indicate the field of the JSON file containing your records. '''
                              F'''This JSON file contain the following fields: {str(list(dataset.keys()    )    )}. '''
                              F'''Select the correct one and provide it as `field=\'XXX\'` to the dataset loading method. '''    ) from None
                        # Uncomment for debugging (will print the Arrow table size and elements)
                        # logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
                        # logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
                    yield (file_idx, batch_idx), self._cast_table(UpperCAmelCase__    )
                    batch_idx += 1









'''simple docstring'''




from __future__ import annotations

from typing import Any

class 		UpperCAmelCase_      :





     def __init__( self       :      Optional[int]    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      int    ,      UpperCAmelCase__       :      float = 0    )				->  None:
        lowerCAmelCase     ,  lowerCAmelCase     =			row, column
        lowerCAmelCase     =			[[default_value for c in range(UpperCAmelCase__    )] for r in range(UpperCAmelCase__    )]





     def __str__( self       :      List[str]    )				->  str:
        lowerCAmelCase     =			F'''Matrix consist of {self.row} rows and {self.column} columns\n'''

        # Make string identifier
        lowerCAmelCase     =			0
        for row_vector in self.array:
           for obj in row_vector:
              lowerCAmelCase     =			max(UpperCAmelCase__    ,      len(str(UpperCAmelCase__    )    )    )
        lowerCAmelCase     =			F'''%{max_element_length}s'''

        # Make string and return
        def single_line(UpperCAmelCase__       :      list[float]    ) -> str:
           nonlocal string_format_identifier
           lowerCAmelCase     =			'['
           line += ", ".join(string_format_identifier % (obj,) for obj in row_vector    )
           line += "]"
           return line

        s += "\n".join(single_line(UpperCAmelCase__    ) for row_vector in self.array    )
        return s





     def __repr__( self       :      List[str]    )				->  str:
        return str(self    )





     def 							__UpperCAmelCase      ( self       :      Optional[int]    ,      UpperCAmelCase__       :      tuple[int, int]    )				->  bool:
        if not (isinstance(UpperCAmelCase__    ,      (list, tuple)    ) and len(UpperCAmelCase__    ) == 2):
           return False
        elif not (0 <= loc[0] < self.row and 0 <= loc[1] < self.column):
           return False
        else:
           return True





     def __getitem__( self       :      Any    ,      UpperCAmelCase__       :      tuple[int, int]    )				->  Any:
        assert self.validate_indicies(UpperCAmelCase__    )
        return self.array[loc[0]][loc[1]]





     def __setitem__( self       :      Dict    ,      UpperCAmelCase__       :      tuple[int, int]    ,      UpperCAmelCase__       :      float    )				->  None:
        assert self.validate_indicies(UpperCAmelCase__    )
        lowerCAmelCase     =			value





     def __add__( self       :      Any    ,      UpperCAmelCase__       :      Matrix    )				->  Matrix:
        assert isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    )
        assert self.row == another.row and self.column == another.column

        # Add
        lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			self[r, c] + another[r, c]
        return result





     def __neg__( self       :      int    )				->  Matrix:
        lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			-self[r, c]
        return result





     def __sub__( self       :      str    ,      UpperCAmelCase__       :      Matrix    )				->  Matrix:
        return self + (-another)





     def __mul__( self       :      str    ,      UpperCAmelCase__       :      int | float | Matrix    )				->  Matrix:

        if isinstance(UpperCAmelCase__    ,      (int, float)    ):  # Scalar multiplication
           lowerCAmelCase     =			Matrix(self.row    ,      self.column    )
           for r in range(self.row    ):
              for c in range(self.column    ):
                 lowerCAmelCase     =			self[r, c] * another
           return result
        elif isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ):  # Matrix multiplication
           assert self.column == another.row
           lowerCAmelCase     =			Matrix(self.row    ,      another.column    )
           for r in range(self.row    ):
              for c in range(another.column    ):
                 for i in range(self.column    ):
                    result[r, c] += self[r, i] * another[i, c]
           return result
        else:
           lowerCAmelCase     =			F'''Unsupported type given for another ({type(UpperCAmelCase__    )})'''
           raise TypeError(UpperCAmelCase__    )





     def 							__UpperCAmelCase      ( self       :      Optional[Any]    )				->  Matrix:
        lowerCAmelCase     =			Matrix(self.column    ,      self.row    )
        for r in range(self.row    ):
           for c in range(self.column    ):
              lowerCAmelCase     =			self[r, c]
        return result





     def 							__UpperCAmelCase      ( self       :      List[str]    ,      UpperCAmelCase__       :      Matrix    ,      UpperCAmelCase__       :      Matrix    )				->  Any:
        assert isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    ) and isinstance(UpperCAmelCase__    ,      UpperCAmelCase__    )
        assert self.row == self.column == u.row == v.row  # u, v should be column vector
        assert u.column == v.column == 1  # u, v should be column vector

        # Calculate
        lowerCAmelCase     =			v.transpose()
        lowerCAmelCase     =			(v_t * self * u)[0, 0] + 1
        if numerator_factor == 0:
           return None  # It's not invertable
        return self - ((self * u) * (v_t * self) * (1.0 / numerator_factor))


# Testing
if __name__ == "__main__":





       def 	a_					( ):
          # a^(-1)
          lowerCAmelCase     =			Matrix(3	, 3	, 0				)
          for i in range(3				):
             lowerCAmelCase     =			1
          print(f'''a^(-1) is {ainv}'''				)
          # u, v
          lowerCAmelCase     =			Matrix(3	, 1	, 0				)
          lowerCAmelCase     ,  lowerCAmelCase     ,  lowerCAmelCase     =			1, 2, -3
          lowerCAmelCase     =			Matrix(3	, 1	, 0				)
          lowerCAmelCase     ,  lowerCAmelCase     ,  lowerCAmelCase     =			4, -2, 5
          print(f'''u is {u}'''				)
          print(f'''v is {v}'''				)
          print(f'''uv^T is {u * v.transpose()}'''				)
          # Sherman Morrison
          print(f'''(a + uv^T)^(-1) is {ainv.sherman_morrison(lowerCamelCase	, lowerCamelCase				)}'''				)





       def 	a_					( ):
          import doctest

          doctest.testmod()




       testa()





