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| author | Robert Kern <robert.kern@gmail.com> | 2023-04-20 00:30:00 -0400 |
|---|---|---|
| committer | Robert Kern <robert.kern@gmail.com> | 2023-04-20 00:30:00 -0400 |
| commit | 8bd846f5ea3bfe6256a7c0d9b9fdc08934de6ddd (patch) | |
| tree | fc239c559c012b33d5a585d72a0fe61d0b5783d6 /doc/source | |
| parent | eb4438f50b1dd25d55b7e3c0c97edcee9570125d (diff) | |
| download | numpy-8bd846f5ea3bfe6256a7c0d9b9fdc08934de6ddd.tar.gz | |
DOC: fix formatting and references.
Diffstat (limited to 'doc/source')
| -rw-r--r-- | doc/source/reference/random/index.rst | 4 | ||||
| -rw-r--r-- | doc/source/reference/random/new-or-different.rst | 6 |
2 files changed, 5 insertions, 5 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index 10ab7bd46..486ebc000 100644 --- a/doc/source/reference/random/index.rst +++ b/doc/source/reference/random/index.rst @@ -53,7 +53,7 @@ pseudo-randomness was good for in the first place. The pseudo-random number generators implemented in this module are designed for statistical modeling and simulation. They are not suitable for security - or cryptographic purposes. See the :py:module:`secrets` module from the + or cryptographic purposes. See the :py:mod:`secrets` module from the standard library such use cases. Seeds should be large positive integers. `default_rng` can take positive @@ -149,7 +149,7 @@ Concepts Legacy Generator (RandomState) <legacy> BitGenerators, SeedSequences <bit_generators/index> Upgrading PCG64 with PCG64DXSM <upgrading-pcg64> - random-compatibility + compatibility Features -------- diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index 3c443025c..9b5bf38e5 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -64,11 +64,11 @@ Feature Older Equivalent Notes * `~.Generator.integers` is now the canonical way to generate integer random numbers from a discrete uniform distribution. This replaces both ``randint`` and the deprecated ``random_integers``. -* The ``rand`` and ``randn`` methods are only available through the legacy +* The ``rand`` and ``randn`` methods are only available through the legacy `~.RandomState`. * `Generator.random` is now the canonical way to generate floating-point random numbers, which replaces `RandomState.random_sample`, - `RandomState.sample`, and `RandomState.ranf`. This is consistent with + `sample`, and `ranf`, all of which were aliases. This is consistent with Python's `random.random`. * All bit generators can produce doubles, uint64s and uint32s via CTypes (`~PCG64.ctypes`) and CFFI (`~PCG64.cffi`). @@ -76,7 +76,7 @@ Feature Older Equivalent Notes * The bit generators can be used in downstream projects via Cython. * All bit generators use `SeedSequence` to :ref:`convert seed integers to - initialized states <seeding-and-entropy>`. + initialized states <seeding_and_entropy>`. * Optional ``dtype`` argument that accepts ``np.float32`` or ``np.float64`` to produce either single or double precision uniform random variables for select distributions. `~.Generator.integers` accepts a ``dtype`` argument |