Replace ACG by Random123 (#3190)

* Fix tests

.sanitizers/undefined.supp

@@ -25,7 +25,6 @@ pointer-overflow:coreneuron::net_receive_NetStim(coreneuron::Point_process*, int
 pointer-overflow:coreneuron::_net_receive__VecStim(coreneuron::Point_process*, int, double)
 pointer-overflow:NonLinImpRep::current(int, Memb_list*, int)
 pointer-overflow:pr_realcell(PreSyn&, NrnThread&, _IO_FILE*)
-shift-base:ACG::asLong()
 shift-base:nrnRan4int
 unsigned-integer-overflow:_philox4x32bumpkey(r123array2x32)
 unsigned-integer-overflow:coreneuron::nrnran123_deletestream(coreneuron::nrnran123_State*, bool)

docs/hoc/programming/math/random.rst

@@ -34,7 +34,7 @@ Random Class
         from the gnu c++ class library. As of version 5.2, a cryptographic quality 
         RNG class wrapper for :hoc:func:`mcell_ran4` was added and is available
         with the :hoc:meth:`Random.MCellRan4` method. The current default random generator
-        is :hoc:meth:`Random.ACG`.
+        is :hoc:meth:`Random.Random123`.
 
         As of version 7.3, a more versatile cryptographic quality generator, 
         Random123, is available with the :hoc:meth:`Random.Random123` method. This generator
@@ -71,31 +71,6 @@ Random Class
 
 
 
-.. hoc:method:: Random.ACG
-
-
-    Syntax:
-        ``r.ACG()``
-
-        ``r.ACG(seed)``
-
-        ``r.ACG(seed, size)``
-
-
-    Description:
-        Use a variant of the Linear Congruential Generator (algorithm M) 
-        described in Knuth, Art of Computer Programming, Vol. III in 
-        combination with a Fibonacci Additive Congruential Generator.  This is 
-        a "very high quality" random number generator, Default size is 55, 
-        giving a size of 1244 bytes to the structure. Minimum size is 7 (total 
-        100 bytes), maximum size is 98 (total 2440 bytes). 
-
-
-
-----
-
-
-
 .. hoc:method:: Random.MCellRan4
 
 

docs/python/programming/math/random.rst

@@ -33,7 +33,7 @@ Random Class
         from the gnu c++ class library. As of version 5.2, a cryptographic quality 
         RNG class wrapper for :func:`mcell_ran4` was added and is available 
         with the :meth:`Random.MCellRan4` method. The current default random generator 
-        is :meth:`Random.ACG`. 
+        is :meth:`Random.Random123`.
 
         As of version 7.3, a more versatile cryptographic quality generator, 
         Random123, is available with the :meth:`Random.Random123` method. This generator 
@@ -74,31 +74,6 @@ Random Class
 
 
 
-.. method:: Random.ACG
-
-
-    Syntax:
-        ``r.ACG()``
-
-        ``r.ACG(seed)``
-
-        ``r.ACG(seed, size)``
-
-
-    Description:
-        Use a variant of the Linear Congruential Generator (algorithm M) 
-        described in Knuth, Art of Computer Programming, Vol. III in 
-        combination with a Fibonacci Additive Congruential Generator.  This is 
-        a "very high quality" random number generator, Default size is 55, 
-        giving a size of 1244 bytes to the structure. Minimum size is 7 (total 
-        100 bytes), maximum size is 98 (total 2440 bytes). 
-
-
-
-----
-
-
-
 .. method:: Random.MCellRan4
 
 

share/lib/helpdict

@@ -4,7 +4,6 @@ AbsoluteTolerance VariableStepControl Tools NEURONMainMenu GUI Reference 418 neu
 accept_action List classes general neuron.exe Reference 69 neuron/general/classes/list.html#accept_action
 accept_action SectionBrowser classes neuron neuron.exe Reference 316 neuron/neuron/classes/secbrows.html#accept_action
 access CurrentlyAccessedSection Section neuron neuron.exe Reference 380 neuron/neuron/secspec.html#access
-ACG Random classes general neuron.exe Reference 97 neuron/general/classes/random.html#ACG
 action MechanismStandard classes neuron neuron.exe Reference 268 neuron/neuron/classes/mechstan.html#action
 action MechanismType classes neuron neuron.exe Reference 274 neuron/neuron/classes/mechtype.html#action
 action Shape classes neuron neuron.exe Reference 325 neuron/neuron/classes/shape.html#action