code: def objects_to_td64ns(data, unit="ns", errors="raise"):
      """
      Convert a object-dtyped or string-dtyped array into an
      timedelta64[ns]-dtyped array.
  
      Parameters
      ----------
      data : ndarray or Index
      unit : str, default "ns"
          The timedelta unit to treat integers as multiples of.
      errors : {"raise", "coerce", "ignore"}, default "raise"
          How to handle elements that cannot be converted to timedelta64[ns].
          See ``pandas.to_timedelta`` for details.
  
      Returns
      -------
      numpy.ndarray : timedelta64[ns] array converted from data
  
      Raises
      ------
      ValueError : Data cannot be converted to timedelta64[ns].
  
      Notes
      -----
      Unlike `pandas.to_timedelta`, if setting `errors=ignore` will not cause
      errors to be ignored; they are caught and subsequently ignored at a
      higher level.
      """
      # coerce Index to np.ndarray, converting string-dtype if necessary
      values = np.array(data, dtype=np.object_, copy=False)
  
      result = array_to_timedelta64(values, unit=unit, errors=errors)
      return result.view("timedelta64[ns]")
  
imports: from __future__ import division
  from datetime import timedelta
  import textwrap
  import warnings
  import numpy
  from pandas._libs import lib, tslibs
  from pandas._libs.tslibs import NaT, Timedelta, Timestamp, iNaT
  from pandas._libs.tslibs.fields import get_timedelta_field
  from pandas._libs.tslibs.timedeltas import array_to_timedelta64, parse_timedelta_unit, precision_from_unit
  import pandas.compat
  from pandas.util._decorators import Appender
  from pandas.core.dtypes.common import _NS_DTYPE, _TD_DTYPE, ensure_int64, is_datetime64_dtype, is_dtype_equal, is_float_dtype, is_integer_dtype, is_list_like, is_object_dtype, is_scalar, is_string_dtype, is_timedelta64_dtype, is_timedelta64_ns_dtype, pandas_dtype
  from pandas.core.dtypes.dtypes import DatetimeTZDtype
  from pandas.core.dtypes.generic import ABCDataFrame, ABCIndexClass, ABCSeries, ABCTimedeltaIndex
  from pandas.core.dtypes.missing import isna
  from pandas.core import ops
  from pandas.core.algorithms import checked_add_with_arr
  import pandas.core.common
  from pandas.tseries.frequencies import to_offset
  from pandas.tseries.offsets import Tick
  from .None import datetimelike
label_desc: Use image node_id 6 for calling a global function with example usage: objects_to_td64ns(data, unit, errors) and returns: result