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Generator(bit_generator)
Container for the BitGenerators.
``Generator`` exposes a number of methods for generating random
numbers drawn from a variety of probability distributions. In addition to
the distribution-specific arguments, each method takes a keyword argument
`size` that defaults to ``None``. If `size` is ``None``, then a single
value is generated and returned. If `size` is an integer, then a 1-D
array filled with generated values is returned. If `size` is a tuple,
then an array with that shape is filled and returned.
The function :func:`numpy.random.default_rng` will instantiate
a `Generator` with numpy's default `BitGenerator`.
**No Compatibility Guarantee**
``Generator`` does not provide a version compatibility guarantee. In
particular, as better algorithms evolve the bit stream may change.
Parameters
----------
bit_generator : BitGenerator
BitGenerator to use as the core generator.
Notes
-----
The Python stdlib module `random` contains pseudo-random number generator
with a number of methods that are similar to the ones available in
``Generator``. It uses Mersenne Twister, and this bit generator can
be accessed using ``MT19937``. ``Generator``, besides being
NumPy-aware, has the advantage that it provides a much larger number
of probability distributions to choose from.
Examples
--------
>>> from numpy.random import Generator, PCG64
>>> rg = Generator(PCG64())
>>> rg.standard_normal()
-0.203 # random
See Also
--------
default_rng : Recommended constructor for `Generator`.
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