def test_pset_msstatistics_save_data(_iraf_pset_init, _data):
"""Expect a task can save data into a PSET
"""
# run msstat, which sets egstp values
# check PSET egstp's values
iraf.msstatistics('dev$pix')
iraf.egstp.lParam()
assert iraf.egstp.npix == 262144, str(iraf.egstp.npix)
assert iraf.egstp.min == -1.0, str(iraf.egstp.min)
assert iraf.egstp.max == 19936.0, str(iraf.egstp.max)
assert iraf.egstp.sum == 28394234.0, str(iraf.egstp.sum)
# reset PSET egstp's values
_unlearn_egstp(iraf.egstp)
iraf.egstp.lParam()
assert iraf.egstp.npix == 0, str(iraf.egstp.npix)
assert iraf.egstp.min == 0.0, str(iraf.egstp.min)
assert iraf.egstp.max == 0.0, str(iraf.egstp.max)
assert iraf.egstp.sum == 0.0, str(iraf.egstp.sum)
# run msstat again
iraf.msstatistics('dev$pix')
# recheck PSET egstp's values
iraf.egstp.lParam()
assert iraf.egstp.npix == 262144, str(iraf.egstp.npix)
assert iraf.egstp.min == -1.0, str(iraf.egstp.min)
assert iraf.egstp.max == 19936.0, str(iraf.egstp.max)
assert iraf.egstp.sum == 28394234.0, str(iraf.egstp.sum)
def test_pset_msstatistics_191(_iraf_pset_init, _data):
"""Expect egstp to be properly cleared and used again
NOTE: Referenced issue, 191, is no longer available (trac).
"""
# Regression test to make sure a task can be sent an unadorned PSET
# par as a regular function argument (without scope/PSET name given).
# This regression-tests #191.
# repeat first call to msstat, verify correct results and that we did
# not hit anything which exists due to previous calls
iraf.msstat(_data['pset']['input1'], arrays='science', clarray='science')
iraf.egstp.lParam()
assert iraf.egstp.npix == 277704, str(iraf.egstp.npix)
_assertApproxEqual(iraf.egstp.min, 1116.0)
_assertApproxEqual(iraf.egstp.max, 14022.0)
_assertApproxEqual(iraf.egstp.sum, 321415936.0)
_unlearn_egstp(iraf.egstp)
iraf.msstatistics(_data['pset']['input1'], arrays='science', clarray='error')
iraf.egstp.lParam()
assert iraf.egstp.npix == 0, str(iraf.egstp.npix)
assert iraf.egstp.min == 0.0, str(iraf.egstp.min)
assert iraf.egstp.max == 0.0, str(iraf.egstp.max)
assert iraf.egstp.sum == 0.0, str(iraf.egstp.sum)
_unlearn_egstp(iraf.egstp)
iraf.msstat(_data['pset']['input1'], arrays='science', clarray='science')
iraf.egstp.lParam()
assert iraf.egstp.npix == 277704, str(iraf.egstp.npix)
_assertApproxEqual(iraf.egstp.min, 1116.0)
_assertApproxEqual(iraf.egstp.max, 14022.0)
_assertApproxEqual(iraf.egstp.sum, 321415936.0)
def test_task_min_match(_iraf_pset_init, _data):
# Determine whether pyraf can use min-matching to resolve the task
# (msstatistics -> msstat)
#
# Note:
# iraf.task does not raise an exception if it fails due to invalid input to
# the function. We're scanning stdout/err here as a stop gap measure.
stdout, stderr = StringIO(), StringIO()
iraf.msst(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.mssta(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstat(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstati(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstatis(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstatist(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstatisti(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstatistic(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
iraf.msstatistics(_data['pset']['input1'], arrays='science', clarray='science',
StdoutAppend=stdout, StderrAppend=stderr)
assert "ERROR" not in stdout.getvalue()
assert not stderr.getvalue()
def test_pset_msstatistics_zeroed_error_array(_iraf_pset_init, _data):
"""Expect zeros
"""
# Run and get data for retval from error arrays (which are empty)
# arrays='science' (check "science" arrays only)
# clarray='error' (return data to egstp from final "error" array)
# so, since the 'error' arrays are empty (and unchecked), expect all zeroes
iraf.msstatistics(_data['pset']['input1'], arrays='science', clarray='error')
iraf.egstp.lParam()
assert iraf.egstp.npix == 0, str(iraf.egstp.npix)
assert iraf.egstp.min == 0.0, str(iraf.egstp.min)
assert iraf.egstp.max == 0.0, str(iraf.egstp.max)
assert iraf.egstp.sum == 0.0, str(iraf.egstp.sum)
def test_pset_msstatistics_science_array(_iraf_pset_init, _data):
"""Expect decent data
"""
# Run msstat, which sets egstp values. Test PSET par passing to task
# command function as a task top-level par passing msstat.nsstatpar.arrays
# and msstat.nsstatpar.clarray, as if they were just msstat pars...
# arrays='science' (check "science" arrays only)
# clarray='science' (return data to egstp from final "error" array)
# So, expect vals from second (final) science array.
iraf.msstatistics(_data['pset']['input1'], arrays='science', clarray='science')
iraf.egstp.lParam()
assert iraf.egstp.npix == 277704, str(iraf.egstp.npix)
_assertApproxEqual(iraf.egstp.min, 1116.0)
_assertApproxEqual(iraf.egstp.max, 14022.0)
_assertApproxEqual(iraf.egstp.sum, 321415936.0)