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- Extending > New BitGenerators
...Extending The BitGenerators have been designed to be extendable using standard tools for high-performance Python – numba and Cython....
- Bit generators > Supported BitGenerators
- numpy.random.BitGenerator (Python class, in numpy.random.BitGenerator)
- Bit generators
- Extending
- NumPy 1.21.0 Release Notes
- NumPy 1.24 Release Notes
- numpy.random.BitGenerator
- numpy.random.BitGenerator.capsule
- numpy.random.BitGenerator.cffi
- numpy.random.BitGenerator.ctypes
- numpy.random.BitGenerator.lock
- numpy.random.BitGenerator.random_raw
- numpy.random.BitGenerator.seed_seq
- numpy.random.BitGenerator.spawn
- numpy.random.BitGenerator.state
- Parallel random number generation
- Random
Generator
- Random sampling
- C API for random
- Compatibility policy
- extending.pyx
- extending_distributions.pyx
- Legacy random generation
- Mersenne Twister (MT19937)
- Multithreaded generation
- NumPy 1.17.1 Release Notes
- NumPy 1.19.0 Release Notes
- NumPy 1.25.0 Release Notes
- numpy.random.BitGenerator.capsule (Python attribute, in numpy.random.BitGenerator.capsule)
- numpy.random.BitGenerator.cffi (Python attribute, in numpy.random.BitGenerator.cffi)
- numpy.random.BitGenerator.ctypes (Python attribute, in numpy.random.BitGenerator.ctypes)
- numpy.random.BitGenerator.lock (Python attribute, in numpy.random.BitGenerator.lock)
- numpy.random.BitGenerator.random_raw (Python method, in numpy.random.BitGenerator.random_raw)
- numpy.random.BitGenerator.seed_seq (Python attribute, in numpy.random.BitGenerator.seed_seq)
- numpy.random.BitGenerator.spawn (Python method, in numpy.random.BitGenerator.spawn)
- numpy.random.BitGenerator.state (Python attribute, in numpy.random.BitGenerator.state)
- numpy.random.Generator.bit_generator
- numpy.random.Generator.spawn
- numpy.random.get_state
- numpy.random.RandomState.get_state
- numpy.random.RandomState.seed
- numpy.random.RandomState.set_state
- numpy.random.SeedSequence
- numpy.random.SeedSequence.generate_state
- numpy.random.SeedSequence.spawn