code: def make_int(
      n: int,
      rstate: Any,
      random: bool = False,
      dtype: str | type = int,
      method: str | Callable = "poisson",
      args: tuple[Any, ...] = (),
      **kwargs,
  ):
      def _with_defaults(_method):
          handler_args, handler_kwargs = default_int_args.get(
              _method, ((), {})
          )
          handler_kwargs = handler_kwargs.copy()
          handler_kwargs.update(**kwargs)
          handler_args = args if args else handler_args
          return handler_args, handler_kwargs
  
      if random:
          handler_args, handler_kwargs = _with_defaults("random")
          if "low" in handler_kwargs:
              handler_args = ()
          data = rstate.randint(*handler_args, size=n, **handler_kwargs)
      else:
          if isinstance(method, str):
              # "poisson", "binomial", etc.
              handler_args, handler_kwargs = _with_defaults(method)
              handler = getattr(rstate, method)
              data = handler(*handler_args, size=n, **handler_kwargs)
          else:
              # method is a Callable
              data = method(*args, state=rstate, size=n, **kwargs)
      return data
  
imports: from __future__ import annotations
  import re
  import string
  from dataclasses import asdict, dataclass, field
  from typing import Any, Callable, cast
  import numpy
  import pandas
  from dask.dataframe._compat import PANDAS_GE_220
  from dask.dataframe._pyarrow import is_object_string_dtype
  from dask.dataframe.core import tokenize
  from dask.dataframe.io.io import from_map
  from dask.dataframe.io.utils import DataFrameIOFunction
  from dask.utils import random_state_data
label_desc: Use image node_id 2 for calling a global function with example usage: make_int(n, rstate, random, dtype, method, args) and returns: data, handler_args,  handler_kwargs