docstr: Returns min(arr[start], ...,  arr[end])
docstr_tok: ["Returns","min","(","arr","[","start","]",",","...",",","arr","[","end","]",")"]
code: def min(self, start=0, end=None):
      """Returns min(arr[start], ...,  arr[end])"""
  
      return super(MinSegmentTree, self).reduce(start, end)
  
imports: import argparse
  import operator
  import os
  import random
  import time
  import gym
  import matplotlib.pyplot
  import numpy
  import tensorflow
  import tensorlayer
label_desc: Use image node_id 2 for calling the MinSegmentTree obj's underlying member method code with example usage: obj.min(start, end) and returns: super