268 lines
8.6 KiB
XML
268 lines
8.6 KiB
XML
<?xml version="1.0" encoding="utf-8"?>
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<!--
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Copyright (C) 2014-2022 Ryan Specialty Group, LLC.
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This file is part of tame-core.
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tame-core is free software: you can redistribute it and/or modify it
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under the terms of the GNU General Public License as
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published by the Free Software Foundation, either version 3 of the
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License, or (at your option) any later version.
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This program is distributed in the hope that it will be useful,
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but WITHOUT ANY WARRANTY; without even the implied warranty of
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MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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GNU General Public License for more details.
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You should have received a copy of the GNU General Public License
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along with this program. If not, see <http://www.gnu.org/licenses/>.
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-->
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<package xmlns="http://www.lovullo.com/rater"
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xmlns:c="http://www.lovullo.com/calc"
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xmlns:t="http://www.lovullo.com/rater/apply-template"
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core="true"
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desc="Vector operations on classification matches">
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<import package="../base" />
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<import package="arithmetic" export="true" />
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<import package="minmax" export="true" />
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<!--
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This wonderful little gem takes a classification match and stores it in a
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vector, allowing for hassle-free use in calculations without awkward
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hasany() calls on classification matrices (where a classification yields a
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matrix, that is). This is useless for classifications that yield vectors,
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since the result will be the same.
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This template is also useful for combining various classification vectors
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and matrices, whoose reduction would otherwise be a bit complicated. Of
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course, the alternative there is also to create a classification that
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relies on other classifications; use your best judgement.
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This exploits the fact that _CMATCH_'s are always vectors, even if we are
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matching on a matrix. As such, the system has already gone through the
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trouble of reducing the matrix into a vector for us, so all we need to do
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is store each value into a vector, which can be easily accomplished using a
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generator.
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This is an excellent example of building a feature atop of the DSL without
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having to add a new language feature.
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-->
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<template name="_cmatch-to-vector_" desc="Vectorizes a classification match">
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<param name="@class@" desc="Classification match string" />
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<param name="@generates@" desc="Variable to yield generates (will yield a vector)" />
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<param name="@yields@" desc="Dummy variable to yield generates (useless, but required)">
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<text>__</text>
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<param-value name="@generates@" />
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</param>
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<param name="@gendesc@" desc="Generator description">
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<text>Vector containing boolean </text>
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<param-value name="@class@" />
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<text> classification matches</text>
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</param>
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<param name="@sym@" desc="Generator symbol (corresponds to @generates@)">
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<!-- defaults to nothing -->
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<text></text>
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</param>
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<!-- this conversion is as simple as using a generator to yield the value
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of _CMATCH_ for each index -->
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<rate class="@class@" yields="@yields@">
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<c:sum of="_CMATCH_" index="k" generates="@generates@" desc="@gendesc@" sym="@sym@">
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<c:value-of name="_CMATCH_" index="k" />
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</c:sum>
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</rate>
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</template>
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<template name="_cmatch-to-scalar_" desc="Reduces a classification match into a scalar">
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<param name="@class@" desc="Classification match string" />
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<param name="@yields@" desc="Variable to yield into" />
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<param name="@sym@" desc="Yield symbol (defaults to nothing)">
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<!-- defaults to nothing -->
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<text></text>
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</param>
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<rate class="@class@" yields="@yields@" sym="@sym@">
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<!-- if any single one matches, then we want to yield a 1 -->
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<c:apply name="maxreduce" maxreduce_set="_CMATCH_" />
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</rate>
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</template>
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In cases where a classification needs to be based on a result that
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has been reduced to a scalar, \ref{_cmatch_to-scalar_} does not
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solve the whole problem: for this, \ref{_classify-scalar_} may be
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used. In addition to performing the action of the former (if {\tt
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@yields} is provided), the resulting classification itself will
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match on the scalar result. While this is not strictly
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necessary---the predicate itself is already scalar---this is
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important for systems or templates that derive the classification
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result from the name of the classification.
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<template name="_classify-scalar_"
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desc="Classification with a forced-scalar result">
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<param name="@values@" desc="Predicates" />
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<param name="@as@" desc="Classification name" />
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<param name="@desc@" desc="Classification description" />
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<param name="@yields@" desc="Scalar result name">
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<text>__</text>
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<param-value snake="true" name="@as@" />
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</param>
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<param name="@sym@" desc="Optional yield symbol">
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<text></text>
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</param>
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<classify as="--{@as@}-pre"
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yields="__{@yields@}Pre"
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desc="{@desc@}, pre-scalar">
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<param-copy name="@values@" />
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</classify>
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<t:cmatch-to-scalar class="--{@as@}-pre"
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yields="__{@yields@}Scalar"
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sym="@sym@" />
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<classify as="@as@" yields="@yields@"
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desc="@desc@"
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sym="@sym@">
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<match on="__{@yields@}Scalar" />
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</classify>
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</template>
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The vector analog to \ref{_classify-scalar_} is
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\ref{_classify-vector_}. The results are undefined if the classification
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would have otherwise yielded a scalar value (that is, do not use this to
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force a scalar into a vector). It may work in an intuitive way, but it's
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not designed to.
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<template name="_classify-vector_"
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desc="Classification with a forced-vector result">
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<param name="@values@" desc="Predicates" />
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<param name="@as@" desc="Classification name" />
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<param name="@desc@" desc="Classification description" />
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<param name="@yields@" desc="Scalar result name">
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<text>__</text>
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<param-value snake="true" name="@as@" />
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</param>
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<param name="@sym@" desc="Optional yield symbol">
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<text></text>
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</param>
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<classify as="--{@as@}-pre"
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yields="__{@yields@}Pre"
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desc="{@desc@}, pre-vector">
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<param-copy name="@values@" />
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</classify>
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<t:cmatch-to-vector class="--{@as@}-pre"
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generates="__{@yields@}Vector"
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sym="@sym@" />
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<classify as="@as@" yields="@yields@"
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desc="@desc@"
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sym="@sym@">
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<match on="__{@yields@}Vector" />
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</classify>
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</template>
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<!--
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Counts one for each classification vector match
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-->
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<template name="_cmatch-count_" desc="Counts the number of classification matches of a vector">
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<param name="@class@" desc="Classification match" />
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<param name="@yields@" desc="Value to yield" />
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<!-- nothing by default -->
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<param name="@no@" desc="Non-match">
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<text></text>
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</param>
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<rate class="@class@" no="@no@" yields="@yields@">
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<c:sum of="_CMATCH_" />
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</rate>
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</template>
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<!-- because verbose repition is an evil -->
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<inline-template>
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<for-each>
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<set cmp="eq" />
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<set cmp="ne" />
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<set cmp="gt" />
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<set cmp="gte" />
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<set cmp="lt" />
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<set cmp="lte" />
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</for-each>
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<template name="_match-{@cmp@}_" desc="Match value {@cmp@}">
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<param name="@on@" desc="Value to assert" />
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<param name="@value@" desc="Match against variable" />
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<match on="@on@">
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<dyn-node name="c:{@cmp@}">
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<c:value-of name="@value@" />
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</dyn-node>
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</match>
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</template>
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</inline-template>
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<template name="_match-class_"
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desc="Match on a class name (rather than @yields)">
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<param name="@name@" desc="Classification name" />
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<param name="@__yields@" desc="Classification yield to match on">
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<param-class-to-yields name="@name@" />
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</param>
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<param name="@value@" desc="Value to match on">
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<text></text>
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</param>
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<match on="@__yields@" value="@value@" />
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</template>
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\ref{_vector-to-class_} converts a vector into a classification.
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<template name="_vector-to-class_"
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desc="Convert a vector to a classification">
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<param name="@name@" desc="Source vector" />
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<param name="@as@" desc="Classification name" />
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<param name="@yields@" desc="Classification yield">
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<text></text>
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</param>
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<param name="@desc@" desc="Classification description">
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<text>Classification of </text>
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<param-value name="@name@" />
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</param>
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<classify as="@as@" desc="@desc@" yields="@yields@">
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<match on="@name@" />
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</classify>
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</template>
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</package>
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