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Change Log
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----------
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- Since v1.16.2
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- =============
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- - Added broadcasting to multinomial (see
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+ v1.16.4
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+ =======
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+ - Add a fast path for broadcasting :func: `~randomgen.generator.RandomGenerator.randint `
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+ when using ``uint64 `` or ``int64 ``.
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+ - Refactor PCG64 so that it does not rely on Cython conditional compilation.
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+ - Add :func: `~randomgen.generator.RandomGenerator.brng ` to access the basic RNG.
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+ - Allow multidimensional arrays in :func: `~randomgen.generator.RandomGenerator.choice `.
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+ - Speed-up :func: `~randomgen.generator.RandomGenerator.choice ` when not replacing.
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+ The gains can be very large (1000x or more) when the input array is large but
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+ the sample size is small.
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+ - Add parameter checks in :func: `~randomgen.generator.RandomGenerator.multinomial `.
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+ - Fix an edge-case bug in :func: `~randomgen.generator.RandomGenerator.zipf `.
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+ - Allow 0 for sample in :func: `~randomgen.generator.RandomGenerator.hypergeometric `.
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+ - Add broadcasting to :func: `~randomgen.generator.RandomGenerator.multinomial ` (see
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`NumPy issue 9710 <https://github.com/numpy/numpy/pull/9710 >`_)
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+ v1.16.3
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+ =======
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+ - Release fixing Python 2.7 issues
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+
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v1.16.2
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=======
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- Updated Xoroshiro120 to use AUthor's latest parameterization
@@ -14,7 +29,7 @@ v1.16.2
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- ``random_raw ``, which have been moved to the individual basic RNGs
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- ``random_uintegers ``, which can be replaced with
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- :func: `~randomgen.. generator.RandomGenerator.randint `.
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+ :func: `~randomgen.generator.RandomGenerator.randint `.
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- Added :class: `~randomgen.mtrand.RandomState ` as a clone of NumPy's
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RandomState.
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