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Classe « Generator »

Méthode numpy.random.Generator.spawn

Signature de la méthode spawn

def spawn(self, n_children) 

Description

help(Generator.spawn)

        spawn(n_children)

        Create new independent child generators.

        See :ref:`seedsequence-spawn` for additional notes on spawning
        children.

        .. versionadded:: 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)

        

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