code: def randint(shape, minval, maxval, dtype="int32", seed=None):
      seed = draw_seed(seed)
      rng = np.random.default_rng(seed)
      output = rng.integers(
          low=minval, high=maxval, size=shape, dtype=dtype
      )
      return output
  
file_path: keras/keras/backend/numpy/random.py
imports: import numpy
  from keras.backend.config import floatx
  from keras.backend.numpy.nn import softmax
  from keras.random.seed_generator import SeedGenerator
  from keras.random.seed_generator import draw_seed
  from keras.random.seed_generator import make_default_seed
label_desc: Use image node_id 4 for calling a global function with example usage: randint(shape, minval, maxval, dtype, seed) and returns: output