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Robustness fixes in test suite machinery....
Robustness fixes in test suite machinery. Added a module-level INSTALLED flag, which can be set to false if the test suite is being run in-place (without ipython having been installed at all). This is because how we call and import things must be done differently depending on whether the code is installed or is being run in-place. The only ones that can know this reliably are the entry-point scripts, so those are responsible for setting this flag. Also made the code that validates ipython in subprocesses report errors better, by checking stderr for errors before validating stdout output, as anything on stderr will be likely informative of the real problem.

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r2267:928c921b
r2494:c8938204
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ipy_profile_scipy.py
29 lines | 681 B | text/x-python | PythonLexer
""" IPython 'scipy' profile, preloads NumPy and SciPy.
This profile loads the math/cmath modules as well as all of numpy and scipy.
It exposes numpy and scipy via the 'np' and 'sp' shorthands as well for
convenience.
"""
from IPython.core import ipapi
import ipy_defaults
def main():
ip = ipapi.get()
try:
ip.ex("import math,cmath")
ip.ex("import numpy")
ip.ex("import scipy")
ip.ex("import numpy as np")
ip.ex("import scipy as sp")
ip.ex("from numpy import *")
ip.ex("from scipy import *")
except ImportError:
print "Unable to start scipy profile, are numpy and scipy installed?"
main()