code: def is_datetimelike_v_object(a, b):
      """
      Check if we are comparing a datetime-like object to an object instance.
  
      Parameters
      ----------
      a : array-like, scalar
          The first object to check.
      b : array-like, scalar
          The second object to check.
  
      Returns
      -------
      boolean : Whether we return a comparing a datetime-like
                to an object instance.
  
      Examples
      --------
      >>> obj = object()
      >>> dt = np.datetime64(pd.datetime(2017, 1, 1))
      >>>
      >>> is_datetimelike_v_object(obj, obj)
      False
      >>> is_datetimelike_v_object(dt, dt)
      False
      >>> is_datetimelike_v_object(obj, dt)
      True
      >>> is_datetimelike_v_object(dt, obj)  # symmetric check
      True
      >>> is_datetimelike_v_object(np.array([dt]), obj)
      True
      >>> is_datetimelike_v_object(np.array([obj]), dt)
      True
      >>> is_datetimelike_v_object(np.array([dt]), np.array([obj]))
      True
      >>> is_datetimelike_v_object(np.array([obj]), np.array([obj]))
      False
      >>> is_datetimelike_v_object(np.array([dt]), np.array([1]))
      False
      >>> is_datetimelike_v_object(np.array([dt]), np.array([dt]))
      False
      """
  
      if not hasattr(a, "dtype"):
          a = np.asarray(a)
      if not hasattr(b, "dtype"):
          b = np.asarray(b)
  
      is_datetimelike = needs_i8_conversion
      return (is_datetimelike(a) and is_object_dtype(b)) or (
          is_datetimelike(b) and is_object_dtype(a)
      )
  
imports: import warnings
  import numpy
  from pandas._libs import algos, lib
  from pandas._libs.tslibs import conversion
  from pandas.compat import PY3, PY36, string_types
  from pandas.core.dtypes.dtypes import CategoricalDtype, DatetimeTZDtype, ExtensionDtype, IntervalDtype, PandasExtensionDtype, PeriodDtype, registry
  from pandas.core.dtypes.generic import ABCCategorical, ABCDateOffset, ABCDatetimeIndex, ABCIndexClass, ABCPeriodArray, ABCPeriodIndex, ABCSeries
  from pandas.core.dtypes.inference import is_array_like, is_bool, is_complex, is_decimal, is_dict_like, is_file_like, is_float, is_hashable, is_integer, is_interval, is_iterator, is_list_like, is_named_tuple, is_nested_list_like, is_number, is_re, is_re_compilable, is_scalar, is_sequence, is_string_like
label_desc: Use image node_id 37 for calling a global function with example usage: is_datetimelike_v_object(a, b) and returns: unknown