code: def convert(self, line: List[str], *, verbose: bool) -> np.ndarray:
      if self.dtype == DataTypes.FLOAT:
          return np.array([e if e else "nan" for e in line], np.float64)
      ood = 0
      method = None
      converted = []
      for e in line:
          if e.lower() == "nan":
              e = "nan"
          elif self.dtype == DataTypes.INT and e:
              e = str(int(round(float(e))))
          mapped = self.mapping.get(e)
          if mapped is None:
              ood += 1
              if self.default_value is not None:
                  method = f"replaced with default value ({self.default_value})"
                  mapped = self.default_value
              elif self.has_nan:
                  method = "replaced with nan"
                  mapped = self.mapping["nan"]
              elif self.has_empty:
                  method = "replaced with empty string"
                  mapped = self.mapping[""]
              else:
                  method = "replaced with most frequent"
                  mapped = 0
          converted.append(mapped)
      if ood > 0:
          ratio = ood / len(converted)
          if verbose:
              print_warning(
                  f"[{self.column_name}] OOD samples detected "
                  f"({ood}/{len(converted)}={ratio:8.6f}), {method}"
              )
      return np.array(converted, np.float64)
  
imports: import csv
  import numpy
  from typing import Any
  from typing import Dict
  from typing import List
  from typing import Tuple
  from typing import Union
  from typing import Optional
  from pathlib import Path
  from collections import Counter
  from dataclasses import dataclass
  from cftool.misc import print_info
  from cftool.misc import print_warning
  from cftool.misc import shallow_copy_dict
  from cftool.misc import ISerializable
  from cftool.misc import PureFromInfoMixin
  from cftool.array import is_float
  from ....schema import DataTypes
  from ....schema import DataBundle
  from ....schema import TDataBundleItem
  from ....schema import INoInitDataBlock
label_desc: Use image node_id 5 for calling the Converter obj's underlying member method code with example usage: obj.convert(line) and returns: np, np