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| author | mattip <matti.picus@gmail.com> | 2019-09-14 13:20:34 +0300 |
|---|---|---|
| committer | mattip <matti.picus@gmail.com> | 2019-09-14 13:20:34 +0300 |
| commit | 62e384a7329a5ed11d536ae24522fbab264c6683 (patch) | |
| tree | c5d1ee755d7a7dbe20f6ec31755ff1f5a66b3fdf /doc/source/reference | |
| parent | 470e3b1c950066cf1ad848f71c40f4a6f3856238 (diff) | |
| download | numpy-62e384a7329a5ed11d536ae24522fbab264c6683.tar.gz | |
DOC: remove random.entropy from docs
Diffstat (limited to 'doc/source/reference')
| -rw-r--r-- | doc/source/reference/random/index.rst | 4 | ||||
| -rw-r--r-- | doc/source/reference/random/new-or-different.rst | 3 |
2 files changed, 0 insertions, 7 deletions
diff --git a/doc/source/reference/random/index.rst b/doc/source/reference/random/index.rst index 0b7a0bfad..b0283f3a7 100644 --- a/doc/source/reference/random/index.rst +++ b/doc/source/reference/random/index.rst @@ -151,9 +151,6 @@ What's New or Different select distributions * Optional ``out`` argument that allows existing arrays to be filled for select distributions -* `~entropy.random_entropy` provides access to the system - source of randomness that is used in cryptographic applications (e.g., - ``/dev/urandom`` on Unix). * All BitGenerators can produce doubles, uint64s and uint32s via CTypes (`~.PCG64.ctypes`) and CFFI (`~.PCG64.cffi`). This allows the bit generators to be used in numba. @@ -203,7 +200,6 @@ Features new-or-different Comparing Performance <performance> extending - Reading System Entropy <entropy> Original Source ~~~~~~~~~~~~~~~ diff --git a/doc/source/reference/random/new-or-different.rst b/doc/source/reference/random/new-or-different.rst index 5442f46c9..c8815f98f 100644 --- a/doc/source/reference/random/new-or-different.rst +++ b/doc/source/reference/random/new-or-different.rst @@ -45,9 +45,6 @@ Feature Older Equivalent Notes And in more detail: -* `~.entropy.random_entropy` provides access to the system - source of randomness that is used in cryptographic applications (e.g., - ``/dev/urandom`` on Unix). * Simulate from the complex normal distribution (`~.Generator.complex_normal`) * The normal, exponential and gamma generators use 256-step Ziggurat |