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Implemented __gt__ method for AggregateFilter
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ef60d9d2f5
commit
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4 changed files with 19 additions and 15 deletions
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@ -647,7 +647,7 @@ class AggregateNuclide(object):
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@nuclides.setter
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def nuclides(self, nuclides):
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cv.check_iterable_type('nuclides', nuclides,
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(basestring, Nuclide, CrossNuclide))
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(basestring, Nuclide, CrossNuclide))
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self._nuclides = nuclides
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@aggregate_op.setter
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@ -716,8 +716,16 @@ class AggregateFilter(object):
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return not self == other
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def __gt__(self, other):
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# FIXME
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return False
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if self.type != other.type:
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if self.aggregate_filter.type in _FILTER_TYPES and \
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other.aggregate_filter.type in _FILTER_TYPES:
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delta = _FILTER_TYPES.index(self.aggregate_filter.type) - \
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_FILTER_TYPES.index(other.aggregate_filter.type)
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return True if delta > 0 else False
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else:
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return False
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else:
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return False
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def __lt__(self, other):
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return not self > other
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@ -789,9 +797,7 @@ class AggregateFilter(object):
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@bins.setter
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def bins(self, bins):
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cv.check_iterable_type('bins', bins, Iterable)
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self._bins = []
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for bin in bins:
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self._bins.append(tuple(bin))
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self._bins = map(tuple, bins)
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@aggregate_op.setter
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def aggregate_op(self, aggregate_op):
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@ -956,4 +962,4 @@ class AggregateFilter(object):
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# Assign merged bins to merged filter
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merged_filter.bins = list(merged_bins)
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return merged_filter
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return merged_filter
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@ -57,6 +57,9 @@ class Element(object):
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def __ne__(self, other):
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return not self == other
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def __gt__(self, other):
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return repr(self) > repr(other)
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def __lt__(self, other):
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return not self > other
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@ -1917,7 +1917,8 @@ class ScatterMatrixXS(MGXS):
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self._correction = correction
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def get_slice(self, nuclides=[], groups=[]):
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"""Build a sliced MGXS for the specified nuclides and energy groups.
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"""Build a sliced ScatterMatrix for the specified nuclides and
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energy groups.
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This method constructs a new MGXS to encapsulate a subset of the data
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represented by this MGXS. The subset of data to include in the tally
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@ -2308,7 +2309,7 @@ class Chi(MGXS):
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return self._xs_tally
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def get_slice(self, nuclides=[], groups=[]):
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"""Build a sliced MGXS for the specified nuclides and energy groups.
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"""Build a sliced Chi for the specified nuclides and energy groups.
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This method constructs a new MGXS to encapsulate a subset of the data
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represented by this MGXS. The subset of data to include in the tally
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@ -2188,12 +2188,6 @@ class Tally(object):
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"""
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# Check that results have been read
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# if not self.derived and self.sum is None:
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# msg = 'Unable to use tally arithmetic with Tally ID="{0}" ' \
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# 'since it does not contain any results.'.format(self.id)
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# raise ValueError(msg)
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cv.check_type('filter1', filter1, (Filter, CrossFilter, AggregateFilter))
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cv.check_type('filter2', filter2, (Filter, CrossFilter, AggregateFilter))
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