Fixing platform compatibility problems with platforms that may have a) old versions of numpy and/or b) multiple different compiler options; GNU is now hard-coded.

docs/conf.py

@@ -27,7 +27,7 @@ copyright = '2020, Adiv Paradise'
 author = 'Adiv Paradise'
 
 # The full version, including alpha/beta/rc tags
-release = '3.0.0a20'
+release = '3.0.0a22'
 
 
 # -- General configuration ---------------------------------------------------

exoplasim/configure.sh

@@ -344,13 +344,24 @@ echo >> most_info.txt "C       Compiler: $MOST_CC"
 cat most_info.txt
 make
 
+#On Sunnyvale, the Python/NumPy stack was built with gcc/g++. Even if we would *like* to use 
+#Intel compilers, on this machine we can't. This is likely going to be true on most systems,
+#so we'll hard-code this, because there probably isn't a way to check this.
+
+#If you're reading this and that's a problem, I'm so sorry. Blame compiler programmers who don't
+#talk to each other. Or blame the NumPy devs for having zero cross-version compatibility in f2py.
+oldcc=$CC
+oldcpp=$CXX
+export CC=gcc
+export CXX=g++
 #Compile pyfft libraries for Python 2
-f2py2 -c -m --f90exec=$MOST_F90 --f90flags="-O3" pyfft2 pyfft.f90
+f2py2 -c -m --f90exec=gfortran --f77exec=gfortran --f90flags="-O3" pyfft2 pyfft.f90 || f2py -c -m --f90exec=gfortran --f77exec=gfortran --f90flags="-O3" pyfft2 pyfft.f90
 
 #Compile pyfft libraries for Python 3
-f2py$pyversion -c -m --f90exec=$MOST_F90 --f90flags="-O3" pyfft pyfft.f90 && mv pyfft.cpython*.so pyfft.so
+f2py$pyversion -c -m --f90exec=gfortran --f77exec=gfortran --f90flags="-O3" pyfft pyfft.f90 && mv pyfft.cpython*.so pyfft.so
     
-
+export CC=$oldcc
+export CXX=$oldcpp
 
 
 echo

setup.py

@@ -3,10 +3,10 @@ import os
  
 setup(
     name='exoplasim',
-    version='3.0.0a20',
+    version='3.0.0a22',
     packages=['exoplasim',],
     zip_safe=False,
-    install_requires=["numpy","matplotlib","scipy"],
+    install_requires=["numpy>=1.16","matplotlib","scipy"],
     extras_require = {"netCDF4": ["netCDF4"],
                       "HDF5": ["h5py"]},
     include_package_data=True,