code: def _convert_object_array(
      content, columns, coerce_float=False, dtype=None
  ):
      if columns is None:
          columns = ibase.default_index(len(content))
      else:
          if len(columns) != len(content):  # pragma: no cover
              # caller's responsibility to check for this...
              raise AssertionError(
                  "{col:d} columns passed, passed data had "
                  "{con} columns".format(
                      col=len(columns), con=len(content)
                  )
              )
  
      # provide soft conversion of object dtypes
      def convert(arr):
          if dtype != object and dtype != np.object:
              arr = lib.maybe_convert_objects(
                  arr, try_float=coerce_float
              )
              arr = maybe_cast_to_datetime(arr, dtype)
          return arr
  
      arrays = [convert(arr) for arr in content]
  
      return arrays, columns
  
imports: from collections import OrderedDict
  import numpy
  import numpy.ma
  from pandas._libs import lib
  from pandas._libs.tslibs import IncompatibleFrequency
  import pandas.compat
  from pandas.compat import get_range_parameters, lmap, lrange, raise_with_traceback, range
  from pandas.core.dtypes.cast import construct_1d_arraylike_from_scalar, construct_1d_ndarray_preserving_na, construct_1d_object_array_from_listlike, infer_dtype_from_scalar, maybe_cast_to_datetime, maybe_cast_to_integer_array, maybe_castable, maybe_convert_platform, maybe_infer_to_datetimelike, maybe_upcast
  from pandas.core.dtypes.common import is_categorical_dtype, is_datetime64tz_dtype, is_dtype_equal, is_extension_array_dtype, is_extension_type, is_float_dtype, is_integer_dtype, is_iterator, is_list_like, is_object_dtype, pandas_dtype
  from pandas.core.dtypes.generic import ABCDataFrame, ABCDatetimeIndex, ABCIndexClass, ABCPandasArray, ABCPeriodIndex, ABCSeries, ABCTimedeltaIndex
  from pandas.core.dtypes.missing import isna
  from pandas.core import algorithms, common
  from pandas.core.arrays import Categorical, ExtensionArray, period_array
  from pandas.core.index import Index, _get_objs_combined_axis, _union_indexes, ensure_index
  from pandas.core.indexes import base
  from pandas.core.internals import create_block_manager_from_arrays, create_block_manager_from_blocks
  from pandas.core.internals.arrays import extract_array
label_desc: Use image node_id 15 for calling a global function with example usage: _convert_object_array(content, columns, coerce_float, dtype) and returns: arrays,  columns, arr