为什么我的随机变量代码会抛出类型错误?

def uniform_generator(a, b):
    while True:
        b = uniform(loc=a, scale=b)
        yield b.rvs(1)

num_gen = uniform_generator(1, 5)
    numbers = [float(next(num_gen)[0]) for _ in range(1000)]

据我所知,我所做的就是向空数组添加1000个浮点。问题是什么?我用的是python 3

---------------------------------------------------------------------------
TypeError                                 Traceback (most recent call last)
<ipython-input-133-42a9353c6a00> in <module>()
      4     num_gen = uniform_generator(1, 5)
      5     print(type(float(next(num_gen)[0])))
----> 6     numbers = [float(next(num_gen)[0]) for _ in range(1000)]
      7 
      8     assert([1 <= num and num <= 5 for num in numbers])

<ipython-input-133-42a9353c6a00> in <listcomp>(.0)
      4     num_gen = uniform_generator(1, 5)
      5     print(type(float(next(num_gen)[0])))
----> 6     numbers = [float(next(num_gen)[0]) for _ in range(1000)]
      7 
      8     assert([1 <= num and num <= 5 for num in numbers])

<ipython-input-107-8956bb825458> in uniform_generator(a, b)
      2     while True:
      3         b = uniform(loc=a, scale=b)
----> 4         yield b.rvs(1)
      5 
      6 def normal_generator(mean, std):

c:\users\user\anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py in rvs(self, size, random_state)
    468         kwds = self.kwds.copy()
    469         kwds.update({'size': size, 'random_state': random_state})
--> 470         return self.dist.rvs(*self.args, **kwds)
    471 
    472     def sf(self, x):

c:\users\user\anaconda3\lib\site-packages\scipy\stats\_distn_infrastructure.py in rvs(self, *args, **kwds)
    936         rndm = kwds.pop('random_state', None)
    937         args, loc, scale, size = self._parse_args_rvs(*args, **kwds)
--> 938         cond = logical_and(self._argcheck(*args), (scale >= 0))
    939         if not np.all(cond):
    940             raise ValueError("Domain error in arguments.")

TypeError: '>=' not supported between instances of 'rv_frozen' and 'int'