code: def intersect_interval(
      interval1: Tuple[float, float], interval2: Tuple[float, float]
  ) -> Tuple[float, float]:
      """Computes the intersection of two intervals.
  
      Parameters
      ----------
      interval1: Tuple[float, float]
          Should be `(x1_min, x1_max)`
      interval2: Tuple[float, float]
          Should be `(x2_min, x2_max)`
  
      Returns
      -------
      x_intersect: Tuple[float, float]
          Should be the intersection. If the intersection is empty returns
          `(0, 0)` to represent the empty set. Otherwise is `(max(x1_min,
          x2_min), min(x1_max, x2_max))`.
      """
      x1_min, x1_max = interval1
      x2_min, x2_max = interval2
      if x1_max < x2_min:
          # If interval1 < interval2 entirely
          return (0, 0)
      elif x2_max < x1_min:
          # If interval2 < interval1 entirely
          return (0, 0)
      x_min = max(x1_min, x2_min)
      x_max = min(x1_max, x2_max)
      return (x_min, x_max)
  
file_path: deepchem/deepchem/utils/coordinate_box_utils.py
imports: from typing import List, Sequence, Tuple
  import numpy
  from scipy.spatial import ConvexHull
label_desc: Use image node_id 1 for calling a global function with example usage: intersect_interval(interval1, interval2) and returns: x_min,  x_max, int,  int, int,  int