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fixed typos and removed unnecessary repeat_factor variable
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1 changed files with 11 additions and 13 deletions
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@ -1519,7 +1519,7 @@ class Tally(object):
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new_tally.name = new_name
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# Query the mean and std dev so the tally data is read in from file
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# if it has not present
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# if it has not already been read in.
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self.mean
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self.std_dev
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other.mean
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@ -1636,14 +1636,14 @@ class Tally(object):
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other : Tally
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The tally to outer product with this tally
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filter_product : str
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The type of product (tensor or entry) to be performed between filter
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data.
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The type of product (tensor or entrywise) to be performed between
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filter data.
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nuclide_product : str
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The type of product (tensor or entry) to be performed between nuclide
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data.
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The type of product (tensor or entrywise) to be performed between
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nuclide data.
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score_product : str
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The type of product (tensor or entry) to be performed between score
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data.
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The type of product (tensor or entrywise) to be performed between
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score data.
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Returns
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-------
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@ -1660,17 +1660,15 @@ class Tally(object):
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# Add filters present in self but not in other to other
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for filter in other_missing_filters:
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filter = copy.deepcopy(filter)
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repeat_factor = filter.num_bins
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other._mean = np.repeat(other.mean, repeat_factor, axis=0)
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other._std_dev = np.repeat(other.std_dev, repeat_factor, axis=0)
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other._mean = np.repeat(other.mean, filter.num_bins, axis=0)
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other._std_dev = np.repeat(other.std_dev, filter.num_bins, axis=0)
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other.add_filter(filter)
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# Add filters present in other but not in self to self
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for filter in self_missing_filters:
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filter = copy.deepcopy(filter)
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repeat_factor = filter.num_bins
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self._mean = np.repeat(self.mean, repeat_factor, axis=0)
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self._std_dev = np.repeat(self.std_dev, repeat_factor, axis=0)
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self._mean = np.repeat(self.mean, filter.num_bins, axis=0)
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self._std_dev = np.repeat(self.std_dev, filter.num_bins, axis=0)
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self.add_filter(filter)
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# Align other filters with self filters
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