code: def binomial(shape, counts, probabilities, dtype=None, seed=None):
      dtype = dtype or floatx()
      seed = jax_draw_seed(seed)
      # jax doesn't accept python lists as arguments
      counts = jax.numpy.array(counts)
      probabilities = jax.numpy.array(probabilities)
      sample = jax.random.binomial(
          key=seed, n=counts, p=probabilities, shape=shape, dtype=dtype
      )
      return sample
  
file_path: keras/keras/backend/jax/random.py
imports: import jax
  from keras.backend.config import floatx
  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 11 for calling a global function with example usage: binomial(shape, counts, probabilities, dtype, seed) and returns: sample