code: def _convert_bin_to_numeric_type(bins, dtype):
      """
      if the passed bin is of datetime/timedelta type,
      this method converts it to integer
  
      Parameters
      ----------
      bins : list-like of bins
      dtype : dtype of data
  
      Raises
      ------
      ValueError if bins are not of a compat dtype to dtype
      """
      bins_dtype = infer_dtype(bins, skipna=False)
      if is_timedelta64_dtype(dtype):
          if bins_dtype in ["timedelta", "timedelta64"]:
              bins = to_timedelta(bins).view(np.int64)
          else:
              raise ValueError("bins must be of timedelta64 dtype")
      elif is_datetime64_dtype(dtype) or is_datetime64tz_dtype(dtype):
          if bins_dtype in ["datetime", "datetime64"]:
              bins = to_datetime(bins)
              if is_datetime64_dtype(bins):
                  # As of 2.0, to_datetime may give non-nano, so we need to convert
                  #  here until the rest of this file recognizes non-nano
                  bins = bins.astype("datetime64[ns]", copy=False)
              bins = bins.view(np.int64)
          else:
              raise ValueError("bins must be of datetime64 dtype")
  
      return bins
  
imports: from __future__ import annotations
  from typing import Any, Callable, Literal
  import numpy
  from pandas._libs import Timedelta, Timestamp
  from pandas._libs.lib import infer_dtype
  from pandas._typing import IntervalLeftRight
  from pandas.core.dtypes.common import DT64NS_DTYPE, ensure_platform_int, is_bool_dtype, is_categorical_dtype, is_datetime64_dtype, is_datetime64tz_dtype, is_datetime_or_timedelta_dtype, is_extension_array_dtype, is_integer, is_list_like, is_numeric_dtype, is_scalar, is_timedelta64_dtype
  from pandas.core.dtypes.generic import ABCSeries
  from pandas.core.dtypes.missing import isna
  from pandas import Categorical, Index, IntervalIndex, to_datetime, to_timedelta
  from pandas.core import nanops
  import pandas.core.algorithms
label_desc: Use image node_id 5 for calling a global function with example usage: _convert_bin_to_numeric_type(bins, dtype) and returns: bins