code: 
  
  import itertools
  from dataclasses import dataclass
  from io import StringIO
  from typing import Optional
  
  import pyarrow as pa
  
  import datasets
  from datasets.features.features import require_storage_cast
  from datasets.table import table_cast
  
  
  __A   :     Dict      =			datasets.utils.logging.get_logger(__name__)
  
  
  
  
  
  
  @dataclass
  class    __A				(							datasets.BuilderConfig ):
      lowerCAmelCase_							:		Optional[datasets.Features]						=							None
      lowerCAmelCase_							:		str						=							"utf-8"
      lowerCAmelCase_							:		Optional[str]						=							None
      lowerCAmelCase_							:		int						=							10 << 20  # 10MB
      lowerCAmelCase_							:		bool						=							False
      lowerCAmelCase_							:		str						=							"line"
  
  
  
  
  
  
  class    __A				(							datasets.ArrowBasedBuilder ):
      lowerCAmelCase_							:		Tuple						=							TextConfig
  
  
  
  
  
  
      def 	lowercase__ (	self			:    str    ):
          return datasets.DatasetInfo(features=self.config.features    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    List[Any]    ,				UpperCAmelCase_			:    Union[str, 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				:			int    			=      dl_manager.download_and_extract(self.config.data_files    )
          if isinstance(UpperCAmelCase_    ,				(str, list, tuple)    ):
              lowerCAmelCase				:			Optional[Any]    			=      data_files
              if isinstance(UpperCAmelCase_    ,				UpperCAmelCase_    ):
                  lowerCAmelCase				:			List[str]    			=      [files]
              lowerCAmelCase				:			Tuple    			=      [dl_manager.iter_files(UpperCAmelCase_    ) for file in files]
              return [datasets.SplitGenerator(name=datasets.Split.TRAIN    ,				gen_kwargs={'files': files}    )]
          lowerCAmelCase				:			Union[str, Any]    			=      []
          for split_name, files in data_files.items():
              if isinstance(UpperCAmelCase_    ,				UpperCAmelCase_    ):
                  lowerCAmelCase				:			Optional[int]    			=      [files]
              lowerCAmelCase				:			List[str]    			=      [dl_manager.iter_files(UpperCAmelCase_    ) for file in files]
              splits.append(datasets.SplitGenerator(name=UpperCAmelCase_    ,				gen_kwargs={'files': files}    )    )
          return splits
  
  
  
  
  
  
      def 	lowercase__ (	self			:    Dict    ,				UpperCAmelCase_			:    pa.Table    ):
          if self.config.features is not None:
              lowerCAmelCase				:			Tuple    			=      self.config.features.arrow_schema
              if all(not require_storage_cast(UpperCAmelCase_    ) for feature in self.config.features.values()    ):
                  # cheaper cast
                  lowerCAmelCase				:			List[Any]    			=      pa_table.cast(UpperCAmelCase_    )
              else:
                  # more expensive cast; allows str <-> int/float or str to Audio for example
                  lowerCAmelCase				:			Any    			=      table_cast(UpperCAmelCase_    ,				UpperCAmelCase_    )
              return pa_table
          else:
              return pa_table.cast(pa.schema({'text': pa.string()}    )    )
  
  
  
  
  
  
      def 	lowercase__ (	self			:    int    ,				UpperCAmelCase_			:    Any    ):
          lowerCAmelCase				:			Union[str, Any]    			=      list(self.config.features    ) if self.config.features is not None else ['text']
          for file_idx, file in enumerate(itertools.chain.from_iterable(UpperCAmelCase_    )    ):
              # open in text mode, by default translates universal newlines ("\n", "\r\n" and "\r") into "\n"
              with open(UpperCAmelCase_    ,				encoding=self.config.encoding    ,				errors=self.config.errors    ) as f:
                  if self.config.sample_by == "line":
                      lowerCAmelCase				:			Dict    			=      0
                      while True:
                          lowerCAmelCase				:			Optional[Any]    			=      f.read(self.config.chunksize    )
                          if not batch:
                              break
                          batch += f.readline()  # finish current line
                          # StringIO.readlines, by default splits only on "\n" (and keeps line breaks)
                          lowerCAmelCase				:			List[Any]    			=      StringIO(UpperCAmelCase_    ).readlines()
                          if not self.config.keep_linebreaks:
                              lowerCAmelCase				:			Dict    			=      [line.rstrip('\n'    ) for line in batch]
                          lowerCAmelCase				:			List[Any]    			=      pa.Table.from_arrays([pa.array(UpperCAmelCase_    )]    ,				names=UpperCAmelCase_    )
                          # 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
                  elif self.config.sample_by == "paragraph":
                      lowerCAmelCase				:			Union[str, Any]    			=      0
                      lowerCAmelCase				:			Optional[Any]    			=      ''
                      while True:
                          lowerCAmelCase				:			Tuple    			=      f.read(self.config.chunksize    )
                          if not new_batch:
                              break
                          batch += new_batch
                          batch += f.readline()  # finish current line
                          lowerCAmelCase				:			Union[str, Any]    			=      batch.split('\n\n'    )
                          lowerCAmelCase				:			str    			=      pa.Table.from_arrays(
                              [pa.array([example for example in batch[:-1] if example]    )]    ,				names=UpperCAmelCase_    )
                          # 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
                          lowerCAmelCase				:			Any    			=      batch[-1]
                      if batch:
                          lowerCAmelCase				:			Tuple    			=      pa.Table.from_arrays([pa.array([batch]    )]    ,				names=UpperCAmelCase_    )
                          yield (file_idx, batch_idx), self._cast_table(UpperCAmelCase_    )
                  elif self.config.sample_by == "document":
                      lowerCAmelCase				:			List[Any]    			=      f.read()
                      lowerCAmelCase				:			Any    			=      pa.Table.from_arrays([pa.array([text]    )]    ,				names=UpperCAmelCase_    )
                      yield file_idx, self._cast_table(UpperCAmelCase_    )
  
  
  
  
  
  
style_context: 
  
  def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase,      )					-> tuple[list[list[int]], list[list[str]]]:
  
  
  
      '''simple docstring'''
  
  
  
  
  
  
      lowerCAmelCase				:			List[Any]    			=      list(_UpperCAmelCase				)
      lowerCAmelCase				:			Union[str, Any]    			=      list(_UpperCAmelCase				)
      lowerCAmelCase				:			Optional[int]    			=      len(_UpperCAmelCase				)
      lowerCAmelCase				:			List[Any]    			=      len(_UpperCAmelCase				)
  
      lowerCAmelCase				:			str    			=      [
          [0 for _ in range(len_destination_seq + 1				)] for _ in range(len_source_seq + 1				)
      ]
      lowerCAmelCase				:			str    			=      [
          ['0' for _ in range(len_destination_seq + 1				)] for _ in range(len_source_seq + 1				)
      ]
  
      for i in range(1,      len_source_seq + 1				):
          lowerCAmelCase				:			int    			=      i * delete_cost
          lowerCAmelCase				:			List[str]    			=      f"D{source_seq[i - 1]:c}"
  
      for i in range(1,      len_destination_seq + 1				):
          lowerCAmelCase				:			Tuple    			=      i * insert_cost
          lowerCAmelCase				:			Union[str, Any]    			=      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]:
                  lowerCAmelCase				:			str    			=      costs[i - 1][j - 1] + copy_cost
                  lowerCAmelCase				:			Tuple    			=      f"C{source_seq[i - 1]:c}"
              else:
                  lowerCAmelCase				:			Optional[int]    			=      costs[i - 1][j - 1] + replace_cost
                  lowerCAmelCase				:			Optional[int]    			=      f"R{source_seq[i - 1]:c}" + str(destination_seq[j - 1]				)
  
              if costs[i - 1][j] + delete_cost < costs[i][j]:
                  lowerCAmelCase				:			List[str]    			=      costs[i - 1][j] + delete_cost
                  lowerCAmelCase				:			Optional[int]    			=      f"D{source_seq[i - 1]:c}"
  
              if costs[i][j - 1] + insert_cost < costs[i][j]:
                  lowerCAmelCase				:			Union[str, Any]    			=      costs[i][j - 1] + insert_cost
                  lowerCAmelCase				:			str    			=      f"I{destination_seq[j - 1]:c}"
  
      return costs, ops
  def 		SCREAMING_SNAKE_CASE__				(							_UpperCAmelCase,      _UpperCAmelCase,      _UpperCAmelCase				)					-> list[str]:
  
  
  
      '''simple docstring'''
  
  
  
  
  
  
      if i == 0 and j == 0:
          return []
      else:
          if ops[i][j][0] == "C" or ops[i][j][0] == "R":
              lowerCAmelCase				:			List[str]    			=      assemble_transformation(_UpperCAmelCase,      i - 1,      j - 1				)
              seq.append(ops[i][j]				)
              return seq
          elif ops[i][j][0] == "D":
              lowerCAmelCase				:			int    			=      assemble_transformation(_UpperCAmelCase,      i - 1,      _UpperCAmelCase				)
              seq.append(ops[i][j]				)
              return seq
          else:
              lowerCAmelCase				:			Tuple    			=      assemble_transformation(_UpperCAmelCase,      _UpperCAmelCase,      j - 1				)
              seq.append(ops[i][j]				)
              return seq
  
  
  if __name__ == "__main__":
   __A     ,      __A   :     List[str]      =			compute_transform_tables('''Python''', '''Algorithms''', -1, 1, 2, 2)
  
   __A   :     Optional[int]      =			len(operations)
   __A   :     Optional[Any]      =			len(operations[0])
   __A   :     Any      =			assemble_transformation(operations, m - 1, n - 1)
  
   __A   :     int      =			list('''Python''')
   __A   :     Tuple      =			0
   __A   :     Tuple      =			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":
      __A   :     Any      =			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))
  
  
  
  
  
  