Remove now useless entry about the float128 undefined numpy dtype on Windows...

Remove now useless entry about the float128 undefined numpy dtype on Windows VS env (because it was fixed in 3.2.14).

gen_doc/faq.md

@@ -8,7 +8,6 @@
 [1. How can I launch the integrated unit tests of pyfaust?](#py_one)  
 [2. How to launch the demos with pyfaust?](#py_two)  
 [3. How to run the PALM4MSA algorithm in a step-by-step fashion?](#py_three)  
-[4. Why does PALM4MSA fail on Windows when the numpy array is complex?](#py_four)
 
 **About matfaust:**  
 [1. Why did I get a file-not-found error when running demos or examples?](#mat_one)  
@@ -249,27 +248,4 @@ Below is an example of output you should obtain running the script (into which y
 	Relative error comparing the final Fausts obtained either by in step-by-step PALM4MSA versus all-iterations-at-once PALM4MSA:  2.1117031467008879e-16
 
 
-\anchor py_four
-
-## 4. Why does PALM4MSA fail on Windows when the numpy array is complex?
-
-If you run the following Python code on Windows with pyfaust, it will fail with the next error (while it works properly on Linux or Mac OS X).
-
-```
-from pyfaust.fact import palm4msa
-from pyfaust.factparams import ParamsPalm4MSA, ConstraintList, StoppingCriterion
-import numpy as np
-from numpy.random import rand
-d = 3
-cons = ConstraintList('sp', d, d, d, 'sp', d, d, d)
-stop_crit = StoppingCriterion(num_its=10)
-param = ParamsPalm4MSA(cons, stop_crit)
-M = rand(d, d)+1j*rand(d,d) # M is complex
-print(M.dtype)
-F1 = palm4msa(M, param, ret_lambda=True)
-```
-
-**Error**: TypeError: data type 'float128' not understood.
-
-Unfortunately when built with Microsoft Visual Studio the ``float128`` numpy is not supported and somehow this type is used when the numpy scalar type (dtype) ``numpy.complex128`` is used for a matrix. Until numpy or VS is fixed to support this missing type pyfaust PALM4MSA won't run with complex matrices on Windows.