code: def maybe_convert_objects(
      values,
      convert_dates=True,
      convert_numeric=True,
      convert_timedeltas=True,
      copy=True,
  ):
      """if we have an object dtype, try to coerce dates and/or numbers"""
  
      # if we have passed in a list or scalar
      if isinstance(values, (list, tuple)):
          values = np.array(values, dtype=np.object_)
      if not hasattr(values, "dtype"):
          values = np.array([values], dtype=np.object_)
  
      # convert dates
      if convert_dates and values.dtype == np.object_:
          # we take an aggressive stance and convert to datetime64[ns]
          if convert_dates == "coerce":
              new_values = maybe_cast_to_datetime(
                  values, "M8[ns]", errors="coerce"
              )
  
              # if we are all nans then leave me alone
              if not isna(new_values).all():
                  values = new_values
  
          else:
              values = lib.maybe_convert_objects(
                  values, convert_datetime=convert_dates
              )
  
      # convert timedeltas
      if convert_timedeltas and values.dtype == np.object_:
          if convert_timedeltas == "coerce":
              from pandas.core.tools.timedeltas import to_timedelta
  
              new_values = to_timedelta(values, errors="coerce")
  
              # if we are all nans then leave me alone
              if not isna(new_values).all():
                  values = new_values
  
          else:
              values = lib.maybe_convert_objects(
                  values, convert_timedelta=convert_timedeltas
              )
  
      # convert to numeric
      if values.dtype == np.object_:
          if convert_numeric:
              try:
                  new_values = lib.maybe_convert_numeric(
                      values, set(), coerce_numeric=True
                  )
  
                  # if we are all nans then leave me alone
                  if not isna(new_values).all():
                      values = new_values
  
              except Exception:
                  pass
          else:
              # soft-conversion
              values = lib.maybe_convert_objects(values)
  
      values = values.copy() if copy else values
  
      return values
  
imports: from datetime import datetime, timedelta
  import numpy
  from pandas._libs import lib, tslib, tslibs
  from pandas._libs.tslibs import NaT, OutOfBoundsDatetime, Period, iNaT
  from pandas.compat import PY3, string_types, text_type, to_str
  from .common import _INT64_DTYPE, _NS_DTYPE, _POSSIBLY_CAST_DTYPES, _TD_DTYPE, ensure_int8, ensure_int16, ensure_int32, ensure_int64, ensure_object, is_bool, is_bool_dtype, is_categorical_dtype, is_complex, is_complex_dtype, is_datetime64_dtype, is_datetime64_ns_dtype, is_datetime64tz_dtype, is_datetime_or_timedelta_dtype, is_datetimelike, is_dtype_equal, is_extension_array_dtype, is_extension_type, is_float, is_float_dtype, is_integer, is_integer_dtype, is_object_dtype, is_scalar, is_string_dtype, is_timedelta64_dtype, is_timedelta64_ns_dtype, is_unsigned_integer_dtype, pandas_dtype
  from .dtypes import DatetimeTZDtype, ExtensionDtype, PandasExtensionDtype, PeriodDtype
  from .generic import ABCDatetimeArray, ABCDatetimeIndex, ABCPeriodArray, ABCPeriodIndex, ABCSeries
  from .inference import is_list_like
  from .missing import isna, notna
label_desc: Use image node_id 16 for calling a global function with example usage: maybe_convert_objects(values, convert_dates, convert_numeric, convert_timedeltas, copy) and returns: values