import itertools
from dataclasses import dataclass
from typing import Optional

import pyarrow as pa

import datasets
from datasets.table import table_cast


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






@dataclass
class     __UpperCAmelCase(    datasets.BuilderConfig				):






 """simple docstring"""




 __magic_name__          =   None






class     __UpperCAmelCase(    datasets.ArrowBasedBuilder				):






 """simple docstring"""




 __magic_name__          =   ArrowConfig
 def  UpperCAmelCase   (    self      ):

        """simple docstring"""

        return datasets.DatasetInfo(features=self.config.features      )
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """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}"""      )
        A_							:       Union[str, Any]	      =				dl_manager.download_and_extract(self.config.data_files      )
        if isinstance(__magic_name__ ,       (str, list, tuple)      ):
               A_							:       Tuple	      =				data_files
               if isinstance(__magic_name__ ,       __magic_name__      ):
                      A_							:       Union[str, Any]	      =				[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               A_							:       int	      =				[dl_manager.iter_files(__magic_name__      ) for file in files]
               return [datasets.SplitGenerator(name=datasets.Split.TRAIN ,       gen_kwargs={'''files''': files}      )]
        A_							:       str	      =				[]
        for split_name, files in data_files.items():
               if isinstance(__magic_name__ ,       __magic_name__      ):
                      A_							:       Union[str, Any]	      =				[files]
               # Use `dl_manager.iter_files` to skip hidden files in an extracted archive
               A_							:       str	      =				[dl_manager.iter_files(__magic_name__      ) for file in files]
               # Infer features is they are stoed in the arrow schema
               if self.info.features is None:
                      for file in itertools.chain.from_iterable(__magic_name__      ):
                             with open(__magic_name__ ,       '''rb'''      ) as f:
                                    A_							:       Tuple	      =				datasets.Features.from_arrow_schema(pa.ipc.open_stream(__magic_name__      ).schema      )
                             break
               splits.append(datasets.SplitGenerator(name=__magic_name__ ,       gen_kwargs={'''files''': files}      )      )
        return splits
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """simple docstring"""

        if self.info.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
               A_							:       Union[str, Any]	      =				table_cast(__magic_name__ ,       self.info.features.arrow_schema      )
        return pa_table
 def  UpperCAmelCase   (    self ,       __magic_name__      ):

        """simple docstring"""

        for file_idx, file in enumerate(itertools.chain.from_iterable(__magic_name__      )      ):
               with open(__magic_name__ ,       '''rb'''      ) as f:
                      try:
                             for batch_idx, record_batch in enumerate(pa.ipc.open_stream(__magic_name__      )      ):
                                    A_							:       int	      =				pa.Table.from_batches([record_batch]      )
                                    # 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 f"""{file_idx}_{batch_idx}""", self._cast_table(__magic_name__      )
                      except ValueError as e:
                             logger.error(f"""Failed to read file '{file}' with error {type(__magic_name__      )}: {e}"""      )
                             raise



def       a__      (					a  ,   a  ,   a  ,   a  ,   a  ,   a  ,   )		->	tuple[list[list[int]], list[list[str]]]:
       A_							:       Optional[Any]	      =				list(a							)
       A_							:       int	      =				list(a							)
       A_							:       Union[str, Any]	      =				len(a							)
       A_							:       Any	      =				len(a							)

       A_							:       Union[str, Any]	      =				[
           [0 for _ in range(len_destination_seq + 1							)] for _ in range(len_source_seq + 1							)
       ]
       A_							:       Optional[int]	      =				[
           ['''0''' for _ in range(len_destination_seq + 1							)] for _ in range(len_source_seq + 1							)
       ]

       for i in range(1  ,   len_source_seq + 1							):
              A_							:       List[Any]	      =				i * delete_cost
              A_							:       List[Any]	      =				f"""D{source_seq[i - 1]:c}"""

       for i in range(1  ,   len_destination_seq + 1							):
              A_							:       Optional[Any]	      =				i * insert_cost
              A_							:       str	      =				f"""I{destination_seq[i - 1]:c}"""

       for i in range(1  ,   len_source_seq + 1							):
              for j in range(1  ,   len_destination_seq + 1							):
                     if source_seq[i - 1] == destination_seq[j - 1]:
                            A_							:       List[Any]	      =				costs[i - 1][j - 1] + copy_cost
                            A_							:       Tuple	      =				f"""C{source_seq[i - 1]:c}"""
                     else:
                            A_							:       Union[str, Any]	      =				costs[i - 1][j - 1] + replace_cost
                            A_							:       Dict	      =				f"""R{source_seq[i - 1]:c}""" + str(destination_seq[j - 1]							)

                     if costs[i - 1][j] + delete_cost < costs[i][j]:
                            A_							:       Dict	      =				costs[i - 1][j] + delete_cost
                            A_							:       Optional[int]	      =				f"""D{source_seq[i - 1]:c}"""

                     if costs[i][j - 1] + insert_cost < costs[i][j]:
                            A_							:       List[Any]	      =				costs[i][j - 1] + insert_cost
                            A_							:       Tuple	      =				f"""I{destination_seq[j - 1]:c}"""

       return costs, ops


def       a__      (					a  ,   a  ,   a							)		->	list[str]:
       if i == 0 and j == 0:
              return []
       else:
              if ops[i][j][0] == "C" or ops[i][j][0] == "R":
                     A_							:       Tuple	      =				assemble_transformation(a  ,   i - 1  ,   j - 1							)
                     seq.append(ops[i][j]							)
                     return seq
              elif ops[i][j][0] == "D":
                     A_							:       Any	      =				assemble_transformation(a  ,   i - 1  ,   a							)
                     seq.append(ops[i][j]							)
                     return seq
              else:
                     A_							:       Tuple	      =				assemble_transformation(a  ,   a  ,   j - 1							)
                     seq.append(ops[i][j]							)
                     return seq


if __name__ == "__main__":
    _lowerCAmelCase  ,			_lowerCAmelCase        =       compute_transform_tables('Python', 'Algorithms', -1, 1, 2, 2)

    _lowerCAmelCase        =       len(operations)
    _lowerCAmelCase        =       len(operations[0])
    _lowerCAmelCase        =       assemble_transformation(operations, m - 1, n - 1)

    _lowerCAmelCase        =       list('Python')
    _lowerCAmelCase        =       0
    _lowerCAmelCase        =       0

    with open('min_cost.txt', 'w') as file:
        for op in sequence:
            print(''.join(string))

            if op[0] == "C":
                file.write('%-16s' % 'Copy %c' % op[1])
                file.write('\t\t\t' + ''.join(string))
                file.write('\r\n')

                cost -= 1
            elif op[0] == "R":
                _lowerCAmelCase        =       op[2]

                file.write('%-16s' % ('Replace %c' % op[1] + ' with ' + str(op[2])))
                file.write('\t\t' + ''.join(string))
                file.write('\r\n')

                cost += 1
            elif op[0] == "D":
                string.pop(i)

                file.write('%-16s' % 'Delete %c' % op[1])
                file.write('\t\t\t' + ''.join(string))
                file.write('\r\n')

                cost += 2
            else:
                string.insert(i, op[1])

                file.write('%-16s' % 'Insert %c' % op[1])
                file.write('\t\t\t' + ''.join(string))
                file.write('\r\n')

                cost += 2

            i += 1

        print(''.join(string))
        print('Cost: ', cost)

        file.write('\r\nMinimum cost: ' + str(cost))


