code: def find_all_combinations(
      l: list[Any], min_element_count: int, max_element_count: int
  ) -> list[list[Any]]:
      """Finds all possible ways how elements of a list can be combined.
  
      E.g., all combinations of list [1, 2, 3] are
      [[1], [2], [3], [1, 2], [1, 3], [2, 3], [1, 2, 3]].
  
      Args:
        l: a list of arbitrary elements.
        min_element_count: the minimum number of elements that every combination
          should contain.
        max_element_count: the maximum number of elements that every combination
          should contain.
  
      Returns:
        The list of all possible combinations given the constraints.
      """
      result: list[list[Any]] = []
      min_element_count = max(1, min_element_count)
      max_element_count = min(max_element_count, len(l))
      for element_count in range(
          min_element_count, max_element_count + 1
      ):
          result.extend(
              list(x) for x in itertools.combinations(l, element_count)
          )
      return result
  
imports: from collections.abc import Callable, Collection, Iterable, Iterator, Mapping, Sequence
  import itertools
  import queue
  import threading
  import time
  from typing import Any, Optional, TypeVar, Union
  import uuid
  from lit_nlp.api import types
  import numpy
label_desc: Use image node_id 15 for calling a global function with example usage: find_all_combinations(l, min_element_count, max_element_count) and returns: result