code: def tree_groups(N, num_groups):
      """Split an integer N into evenly sized and spaced groups.
  
      >>> tree_groups(16, 6)
      [3, 2, 3, 3, 2, 3]
      """
      # Bresenham, you so smooth!
      group_size = N // num_groups
      dx = num_groups
      dy = N - group_size * num_groups
      D = 2 * dy - dx
      rv = []
      for _ in range(num_groups):
          if D < 0:
              rv.append(group_size)
          else:
              rv.append(group_size + 1)
              D -= 2 * dx
          D += 2 * dy
      return rv
  
imports: from __future__ import annotations
  import math
  import numpy
  import pandas
  from pandas.api.types import is_datetime64_dtype, is_integer_dtype
  from tlz import merge, merge_sorted, take
  from dask.base import tokenize
  from dask.dataframe.core import Series
  from dask.dataframe.dispatch import tolist_dispatch
  from dask.utils import is_cupy_type, random_state_data
label_desc: Use image node_id 3 for calling a global function with example usage: tree_groups(N, num_groups) and returns: rv