Merge pull request #6 from bashtage/rename-randomgen

REF: Rename from Core PRNG to RandomGen

_randomgen/.gitattributes

@@ -1 +1 @@
-core_prng/_version.py export-subst
+randomgen/_version.py export-subst

_randomgen/.travis.yml

@@ -37,16 +37,16 @@ before_install:
   - PKGS="${PKGS} numpy"; if [ ${NUMPY} ]; then PKGS="${PKGS}=${NUMPY}"; fi
   - PKGS="${PKGS} Cython"; if [ ${CYTHON} ]; then PKGS="${PKGS}=${CYTHON}"; fi
   - PKGS="${PKGS} pandas"; if [ ${PANDAS} ]; then PKGS="${PKGS}=${PANDAS}"; fi
-  - conda create -n core-prng-test ${PKGS} pytest setuptools nose --quiet
-  - source activate core-prng-test
+  - conda create -n randomgen-test ${PKGS} pytest setuptools nose --quiet
+  - source activate randomgen-test
   - pip install tempita -q
 
 install:
   - python setup.py develop
 
 script:
   - set -e
-  - pytest core_prng
+  - pytest randomgen
   - |
     if [[ -z ${NUMPY} ]]; then
       python benchmark.py;

_randomgen/MANIFEST.in

@@ -1,2 +1,2 @@
 include versioneer.py
-include core_prng/_version.py
+include randomgen/_version.py

_randomgen/README.md

@@ -1,17 +1,17 @@
-# Core PRNG
+# RandomGen
 
-[![Travis Build Status](https://travis-ci.org/bashtage/ng-numpy-randomstate.svg?branch=master)](https://travis-ci.org/bashtage/core-prng) 
-[![Appveyor Build Status](https://ci.appveyor.com/api/projects/status/odc5c4ukhru5xicl/branch/master?svg=true)](https://ci.appveyor.com/project/bashtage/core-prng/branch/master)
+[![Travis Build Status](https://travis-ci.org/bashtage/ng-numpy-randomstate.svg?branch=master)](https://travis-ci.org/bashtage/randomgen) 
+[![Appveyor Build Status](https://ci.appveyor.com/api/projects/status/odc5c4ukhru5xicl/branch/master?svg=true)](https://ci.appveyor.com/project/bashtage/randomgen/branch/master)
 
-Experimental Core Pseudo Random Number Generator interface for future
+Random Number Generator using settable Basic RNG interface for future
 NumPy RandomState evolution.
 
 This is a library and generic interface for alternative random 
 generators in Python and NumPy.
 
 
 ### Compatibility Warning
-Core PRNG no longer supports Box-Muller normal variates and so it not
+RandomGen no longer supports Box-Muller normal variates and so it not
 100% compatible with NumPy (or randomstate). Box-Muller normals are slow
 to generate and all functions which previously relied on Box-Muller
 normals now use the faster Ziggurat implementation.
@@ -22,7 +22,7 @@ normals now use the faster Ziggurat implementation.
 
 ```python
 # import numpy.random as rnd
-from core_prng import RandomGenerator, MT19937
+from randomgen import RandomGenerator, MT19937
 rnd = RandomGenerator(MT19937())
 x = rnd.standard_normal(100)
 y = rnd.random_sample(100)
@@ -36,7 +36,7 @@ z = rnd.randn(10,10)
   exponential and standard gamma using the Ziggurat method
 
 ```python
-from core_prng import RandomGenerator
+from randomgen import RandomGenerator
 # Use Xoroshiro128
 rnd = RandomGenerator()
 w = rnd.standard_normal(10000, method='zig')
@@ -110,7 +110,7 @@ PRNG implementation.
 or 64-bit (`[0, 2**64-1]`)
 * `jump` - Jumps RNGs that support it.  `jump` moves the state a great 
 distance. _Only available if supported by the RNG._
-* `advance` - Advanced the core RNG 'as-if' a number of draws were made, 
+* `advance` - Advanced the RNG 'as-if' a number of draws were made, 
 without actually drawing the numbers. _Only available if supported by 
 the RNG._
 
@@ -133,7 +133,7 @@ The version matched the latest version of NumPy where
 ## Documentation
 
 An occasionally updated build of the documentation is available on
-[my GitHub pages](http://bashtage.github.io/core-prng/).
+[my GitHub pages](http://bashtage.github.io/randomgen/).
 
 ## Plans
 This module is essentially complete.  There are a few rough edges that 
@@ -188,10 +188,10 @@ compiler.
 
 ## Using
 
-The separate generators are importable from `core_prng`
+The separate generators are importable from `randomgen`
 
 ```python
-from core_prng import RandomGenerator, ThreeFry, PCG64, MT19937
+from randomgen import RandomGenerator, ThreeFry, PCG64, MT19937
 rg = RandomGenerator(ThreeFry())
 rg.random_sample(100)
 

_randomgen/appveyor.yml

@@ -26,7 +26,7 @@ build_script:
   - set "GIT_DIR=%cd%"
 
 test_script:
-  - pytest core_prng
+  - pytest randomgen
 
 on_success:
   - cd %GIT_DIR%\

_randomgen/benchmark.py

@@ -10,12 +10,12 @@
 
 SETUP = '''
 import numpy as np
-if '{prng}' == 'numpy':
+if '{brng}' == 'numpy':
     import numpy.random
     rg = numpy.random.RandomState()
 else:
-    from core_prng import RandomGenerator, {prng}
-    rg = RandomGenerator({prng}())
+    from randomgen import RandomGenerator, {brng}
+    rg = RandomGenerator({brng}())
 rg.random_sample()
 '''
 
@@ -44,9 +44,9 @@ def run_timer(dist, command, numpy_command=None, setup='', random_type=''):
         numpy_command = command
 
     res = {}
-    for prng in PRNGS:
-        cmd = numpy_command if prng == 'numpy' else command
-        res[prng] = timer(cmd, setup=setup.format(prng=prng))
+    for brng in PRNGS:
+        cmd = numpy_command if brng == 'numpy' else command
+        res[brng] = timer(cmd, setup=setup.format(brng=brng))
 
     s = pd.Series(res)
     t = s.apply(lambda x: '{0:0.2f} ms'.format(x))