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-rw-r--r--config-model/src/test/derived/rankingexpression/rank-profiles.cfg374
1 files changed, 374 insertions, 0 deletions
diff --git a/config-model/src/test/derived/rankingexpression/rank-profiles.cfg b/config-model/src/test/derived/rankingexpression/rank-profiles.cfg
new file mode 100644
index 00000000000..cf59ae9c326
--- /dev/null
+++ b/config-model/src/test/derived/rankingexpression/rank-profiles.cfg
@@ -0,0 +1,374 @@
+rankprofile[].name "default"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "bar, baz"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "foobar"
+rankprofile[].fef.property[].name "qux"
+rankprofile[].fef.property[].value "quux"
+rankprofile[].fef.property[].name "foo.bar"
+rankprofile[].fef.property[].value "foo.bar"
+rankprofile[].fef.property[].name "foo.bar.baz"
+rankprofile[].fef.property[].value "123"
+rankprofile[].fef.property[].name "foo(bar).baz.2"
+rankprofile[].fef.property[].value "123.4"
+rankprofile[].fef.property[].name "foo(bar).baz.qux"
+rankprofile[].fef.property[].value "foo(bar)"
+rankprofile[].fef.property[].name "nud"
+rankprofile[].fef.property[].value "ity"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "classicRank"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "4"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(foo1).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(bar1)"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(foo2).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(bar2).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(foo3).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(bar3).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(foo4).out"
+rankprofile[].fef.property[].name "vespa.dump.feature"
+rankprofile[].fef.property[].value "attribute(bar4).out"
+rankprofile[].fef.property[].name "vespa.hitcollector.heapsize"
+rankprofile[].fef.property[].value "10"
+rankprofile[].fef.property[].name "vespa.hitcollector.arraysize"
+rankprofile[].fef.property[].value "20"
+rankprofile[].fef.property[].name "vespa.hitcollector.rankscoredroplimit"
+rankprofile[].fef.property[].value "-0.5"
+rankprofile[].fef.property[].name "vespa.dump.ignoredefaultfeatures"
+rankprofile[].fef.property[].value "true"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "unranked"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "value(0)"
+rankprofile[].fef.property[].name "vespa.hitcollector.heapsize"
+rankprofile[].fef.property[].value "0"
+rankprofile[].fef.property[].name "vespa.hitcollector.arraysize"
+rankprofile[].fef.property[].value "0"
+rankprofile[].fef.property[].name "vespa.dump.ignoredefaultfeatures"
+rankprofile[].fef.property[].value "true"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "static"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "attribute"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "10 + feature(arg1).out.out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(foo1).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(bar1)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(foo2).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(bar2).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(foo3).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(bar3).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(foo4).out"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "attribute(bar4).out"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "overflow"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).expressionName"
+rankprofile[].fef.property[].value "overflow.firstphase"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "exp(0) + mysum(attribute(foo),\"attribute( bar )\",\"attribute( \\\"baz\\\" )\")"
+rankprofile[].fef.property[].name "vespa.hitcollector.heapsize"
+rankprofile[].fef.property[].value "101"
+rankprofile[].fef.property[].name "vespa.hitcollector.arraysize"
+rankprofile[].fef.property[].value "201"
+rankprofile[].fef.property[].name "vespa.hitcollector.rankscoredroplimit"
+rankprofile[].fef.property[].value "501.5"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "duplicates"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityLimit"
+rankprofile[].fef.property[].value "4"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.2"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.4"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.6"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.8"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "1"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.8"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.6"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.4"
+rankprofile[].fef.property[].name "fieldMatch(a).proximityTable"
+rankprofile[].fef.property[].value "0.2"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "whitespace1"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "1"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "whitespace2"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "1"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros"
+rankprofile[].fef.property[].name "rankingExpression(myfeature).rankingScript"
+rankprofile[].fef.property[].value "70 * fieldMatch(title).completeness * pow(0 - fieldMatch(title).earliness,2) + 30 * pow(0 - fieldMatch(description).earliness,2)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum@5cf279212355b980.67f1e87166cfef86).rankingScript"
+rankprofile[].fef.property[].value "4 * (match + rankBoost)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum).rankingScript"
+rankprofile[].fef.property[].value "4 * (var1 + var2)"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "match + fieldMatch(title) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(fourtimessum@5cf279212355b980.67f1e87166cfef86)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "fieldMatch(title)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros2"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "some, list"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86).rankingScript"
+rankprofile[].fef.property[].value "4 * (match + match)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "70 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(myfeature).rankingScript"
+rankprofile[].fef.property[].value "70 * fieldMatch(title).completeness * pow(0 - fieldMatch(title).earliness,2) + 30 * pow(0 - fieldMatch(description).earliness,2)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum).rankingScript"
+rankprofile[].fef.property[].value "4 * (var1 + var2)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature2).rankingScript"
+rankprofile[].fef.property[].value "71 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "classicRank"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86) + rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature2)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros3"
+rankprofile[].fef.property[].name "rankingExpression(onlyusedinsummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "5"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(matches(title,rankingExpression(onlyusedinsummaryfeature)))"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros3-inherited"
+rankprofile[].fef.property[].name "rankingExpression(onlyusedinsummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "5"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(matches(title,rankingExpression(onlyusedinsummaryfeature)))"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-inherited"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "some, list"
+rankprofile[].fef.property[].name "rankingExpression(myfeature).rankingScript"
+rankprofile[].fef.property[].value "70 * fieldMatch(title).completeness * pow(0 - fieldMatch(title).earliness,2) + 30 * pow(0 - fieldMatch(description).earliness,2)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "80 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86).rankingScript"
+rankprofile[].fef.property[].value "4 * (match + match)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum).rankingScript"
+rankprofile[].fef.property[].value "4 * (var1 + var2)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature2).rankingScript"
+rankprofile[].fef.property[].value "71 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "20000 * rankingExpression(myfeature) + rankingExpression(mysummaryfeature)"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86) + rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature2)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-inherited2"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "some, list"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "80 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(myfeature).rankingScript"
+rankprofile[].fef.property[].value "70 * fieldMatch(title).completeness * pow(0 - fieldMatch(title).earliness,2) + 30 * pow(0 - fieldMatch(description).earliness,2)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86).rankingScript"
+rankprofile[].fef.property[].value "4 * (match + match)"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum).rankingScript"
+rankprofile[].fef.property[].value "4 * (var1 + var2)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature2).rankingScript"
+rankprofile[].fef.property[].value "71 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "30000 * rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(fourtimessum@2b1138e8965e7ff5.67f1e87166cfef86) + rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature2)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-inherited3"
+rankprofile[].fef.property[].name "foo"
+rankprofile[].fef.property[].value "some, list"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature).rankingScript"
+rankprofile[].fef.property[].value "80 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(myfeature).rankingScript"
+rankprofile[].fef.property[].value "700 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(fourtimessum).rankingScript"
+rankprofile[].fef.property[].value "4 * (var1 + var2)"
+rankprofile[].fef.property[].name "rankingExpression(mysummaryfeature2).rankingScript"
+rankprofile[].fef.property[].value "71 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "rankingExpression(firstphase)"
+rankprofile[].fef.property[].name "rankingExpression(firstphase).rankingScript"
+rankprofile[].fef.property[].value "30000 * rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "40000 * rankingExpression(mysummaryfeature) + rankingExpression(myfeature)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature2)"
+rankprofile[].fef.property[].name "vespa.summary.feature"
+rankprofile[].fef.property[].value "rankingExpression(mysummaryfeature)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-refering-macros"
+rankprofile[].fef.property[].name "rankingExpression(m1).rankingScript"
+rankprofile[].fef.property[].value "700 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m2).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(m1) * 67"
+rankprofile[].fef.property[].name "rankingExpression(m4).rankingScript"
+rankprofile[].fef.property[].value "703 * fieldMatch(fromfile).completeness"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "40000 * rankingExpression(m2) * rankingExpression(m4)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-refering-macros-inherited"
+rankprofile[].fef.property[].name "rankingExpression(m1).rankingScript"
+rankprofile[].fef.property[].value "700 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m2).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(m1) * 67"
+rankprofile[].fef.property[].name "rankingExpression(m4).rankingScript"
+rankprofile[].fef.property[].value "703 * fieldMatch(fromfile).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m3).rankingScript"
+rankprofile[].fef.property[].value "if (isNan(attribute(nrtgmp)) == 1, 0.0, rankingExpression(m2))"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "3000 * rankingExpression(m2) * rankingExpression(m4)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-refering-macros-inherited2"
+rankprofile[].fef.property[].name "rankingExpression(m1).rankingScript"
+rankprofile[].fef.property[].value "700 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m2).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(m1) * 67"
+rankprofile[].fef.property[].name "rankingExpression(m4).rankingScript"
+rankprofile[].fef.property[].value "703 * fieldMatch(fromfile).completeness"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "3002 * rankingExpression(m2)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "macros-refering-macros-inherited-two-levels"
+rankprofile[].fef.property[].name "rankingExpression(m1).rankingScript"
+rankprofile[].fef.property[].value "700 * fieldMatch(title).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m2).rankingScript"
+rankprofile[].fef.property[].value "rankingExpression(m1) * 67"
+rankprofile[].fef.property[].name "rankingExpression(m4).rankingScript"
+rankprofile[].fef.property[].value "703 * fieldMatch(fromfile).completeness"
+rankprofile[].fef.property[].name "rankingExpression(m3).rankingScript"
+rankprofile[].fef.property[].value "if (isNan(attribute(nrtgmp)) == 1, 0.0, rankingExpression(m2))"
+rankprofile[].fef.property[].name "rankingExpression(m5).rankingScript"
+rankprofile[].fef.property[].value "if (isNan(attribute(glmpfw)) == 1, rankingExpression(m1), rankingExpression(m4))"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "rankingExpression(secondphase)"
+rankprofile[].fef.property[].name "rankingExpression(secondphase).rankingScript"
+rankprofile[].fef.property[].value "3000 * rankingExpression(m2) * rankingExpression(m4)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "withmf"
+rankprofile[].fef.property[].name "rankingExpression(myplus).rankingScript"
+rankprofile[].fef.property[].value "attribute(foo1) + attribute(foo2)"
+rankprofile[].fef.property[].name "rankingExpression(mymul).rankingScript"
+rankprofile[].fef.property[].value "attribute(t1) * query(fromq)"
+rankprofile[].fef.property[].name "vespa.rank.firstphase"
+rankprofile[].fef.property[].value "attribute(foo1)"
+rankprofile[].fef.property[].name "vespa.rank.secondphase"
+rankprofile[].fef.property[].value "attribute(foo2)"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(foo1).out"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(bar1)"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(foo2).out"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(bar2).out"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(foo3).out"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(bar3).out"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "attribute(foo4)"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "firstPhase"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "secondPhase"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "rankingExpression(myplus)"
+rankprofile[].fef.property[].name "vespa.match.feature"
+rankprofile[].fef.property[].value "rankingExpression(mymul)"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"
+rankprofile[].name "withboolean"
+rankprofile[].fef.property[].name "rankingExpression(mytrue).rankingScript"
+rankprofile[].fef.property[].value "true"
+rankprofile[].fef.property[].name "rankingExpression(myfalse).rankingScript"
+rankprofile[].fef.property[].value "false"
+rankprofile[].fef.property[].name "rankingExpression(mybooleanexpression).rankingScript"
+rankprofile[].fef.property[].value "5.0"
+rankprofile[].fef.property[].name "vespa.type.attribute.t1"
+rankprofile[].fef.property[].value "tensor(m{},v[3])"