code: def make_float(n, rstate, random=False, **kwargs):
      kwargs.pop("dtype", None)
      kwargs.pop("args", None)
      if random:
          return rstate.random(size=n, **kwargs)
      return rstate.rand(n) * 2 - 1
  
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 1 for calling a global function with example usage: make_float(n, rstate, random) and returns: unknown, rstate