# numpy.random.Generator.spawn

method

random.Generator.spawn(n_children)

  Create new independent child generators.

  See SeedSequence spawning for additional notes on spawning children.

  New in version 1.25.0.

  Parameters:
    n_children int
  Returns:
    child_generators list of Generators
  Raises:
    TypeError

      When the underlying SeedSequence does not implement spawning.

  See also

  `random.BitGenerator.spawn`, `random.SeedSequence.spawn`

    Equivalent method on the bit generator and seed sequence.

  `bit_generator`

    The bit generator instance used by the generator.

  Examples

  Starting from a seeded default generator:

      >>> # High quality entropy created with: f"0x{secrets.randbits(128):x}"
      >>> entropy = 0x3034c61a9ae04ff8cb62ab8ec2c4b501
      >>> rng = np.random.default_rng(entropy)

  Create two new generators for example for parallel execution:

      >>> child_rng1, child_rng2 = rng.spawn(2)

  Drawn numbers from each are independent but derived from the initial seeding entropy:

      >>> rng.uniform(), child_rng1.uniform(), child_rng2.uniform()
      (0.19029263503854454, 0.9475673279178444, 0.4702687338396767)

  It is safe to spawn additional children from the original `rng` or the children:

      >>> more_child_rngs = rng.spawn(20)
      >>> nested_spawn = child_rng1.spawn(20)