Error on my laptop. TypeError: 'numpy.float64' object cannot be interpreted as an integer

Question

The error below is what I get when I run the code. It works on another persons computer but not mine. I have 3.9.7 python and numpy version 1.20. How do I fix the code?

p_ren_t1 = get_renovation_cycles(time_interval, no_cycles,ren_mean_cycle= ren_mean, 
ren_rel_deviation = ren_rel_std, distribution='norm', show = True)

ren_mean = 50
ren_rel_std = 0.25
p_ren_t2 = get_renovation_cycles(time_interval, no_cycles,ren_mean_cycle= ren_mean, 
        ren_rel_deviation = ren_rel_std, loc = 6, distribution='lognorm', show = True)

The error shows up in line 21.

TypeError                   Traceback (most recent call last)

        5 
  ----> 6 p_ren_t1 = get_renovation_cycles(time_interval, no_cycles,ren_mean_cycle= ren_mean, 
    ren_rel_deviation = ren_rel_std, distribution='norm', show = True)
        7 
        8 ren_mean = 50
         
  ~\AppData\Local\Temp/ipykernel_25696/608447137.py in get_renovation_cycles(time_interval, 
        no_cycles, ren_mean_cycle, ren_rel_deviation, loc, distribution, show)
        19 
        20 
   ---> 21     times_t= np.linspace(time_interval[0], time_interval[1], time_interval[1]- 
      time_interval[0]+1)

        22     times_t = times_t.astype(int)  
        23     ren_cycles = np.zeros(np.shape(times_t))

    <__array_function__ internals> in linspace(*args, **kwargs) 

    TypeError: 'numpy.float64' object cannot be interpreted as an integer