Using Numpy in different platforms

Question

I have a piece of code which computes the Helmholtz-Hodge Decomposition. I've been running on my Mac OS Yosemite and it was working just fine. A month ago, however, my Mac got pretty slow (it was really old), and I opted to buy a new notebook (Windows 8.1, Dell).

After installing all Python libs and so on, I continued my work running this same code (versioned in Git). And then the result was pretty weird, completely different from the one obtained in the old notebook.

For instance, what I do is to construct to matrices a and b(really long calculus) and then I call the solver:

s = numpy.linalg.solve(a, b)

This was returning a (wrong, and different of the result obtained in my Mac, which was right).

Then, I tried to use:

s = scipy.linalg.solve(a, b)

And the program exits with code 0 but at the middle of it. Then, I just made a simple test of:

print 'here1'
s = scipy.linalg.solve(a, b)
print 'here2'

And here2 is never printed.

I tried:

print 'here1'
x, info = numpy.linalg.cg(a, b)
print 'here2'

And the same happens.

I also tried to check the solution after using numpy.linalg.solve:

print numpy.allclose(numpy.dot(a, s), b)

And I got a False (?!).

I don't know what is happening, how to find a solution, I just know that the same code runs in my Mac, but it would be very good if I could run it in other platforms. Now I'm stucked in this problem (don't have a Mac anymore) and with no clue about the cause.

The weirdest thing is that I don't receive any error on runtime warning, no feedback at all.

Thank you for any help.

EDIT:

Numpy Suit Test Results:

Scipy Suit Test Results:

Answer 1

Download Anaconda package manager

http://continuum.io/downloads

When you download this it will already have all the dependencies for numpy worked out for you. It installs locally and will work on most platforms.