From 3b50536c944a1519c3db77b521bc47a20db582b5 Mon Sep 17 00:00:00 2001 From: Flora Jin <143982424+flora-jin@users.noreply.github.com> Date: Mon, 10 Mar 2025 11:19:15 -0700 Subject: [PATCH 1/5] [TINKERPOP-2966] Change PythonTranslator to generate underscore based step naming (#3039) --- CHANGELOG.asciidoc | 1 + .../translator/PythonTranslator.java | 34 +- .../translator/PythonTranslatorTest.java | 14 +- .../jsr223/GremlinGroovyScriptEngineTest.java | 2 +- .../src/main/python/radish/gremlin.py | 1328 ++++++++--------- 5 files changed, 685 insertions(+), 694 deletions(-) diff --git a/CHANGELOG.asciidoc b/CHANGELOG.asciidoc index d65af22776a..05817f2751c 100644 --- a/CHANGELOG.asciidoc +++ b/CHANGELOG.asciidoc @@ -40,6 +40,7 @@ image::https://raw.githubusercontent.com/apache/tinkerpop/master/docs/static/ima * Added `gremlin.spark.outputRepartition` configuration to customize the partitioning of HDFS files from `OutputRDD`. * Allowed `mergeV()` and `mergeE()` to supply `null` in `Map` values. * Improved error message for when `emit()` is used without `repeat()`. +* Changed `PythonTranslator` to generate snake case step naming instead of camel case. [[release-3-7-3]] === TinkerPop 3.7.3 (October 23, 2024) diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslator.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslator.java index 3ad7b39a386..de235eedd9d 100644 --- a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslator.java +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslator.java @@ -20,6 +20,7 @@ package org.apache.tinkerpop.gremlin.process.traversal.translator; import org.apache.commons.configuration2.ConfigurationConverter; +import org.apache.commons.lang3.StringUtils; import org.apache.commons.text.StringEscapeUtils; import org.apache.tinkerpop.gremlin.process.traversal.Bytecode; import org.apache.tinkerpop.gremlin.process.traversal.P; @@ -361,7 +362,7 @@ protected Script produceScript(final P p) { // for the first/last P there is no parent to close if (i > 0 && i < list.size() - 1) script.append(")"); - // add teh connector for all but last P + // add the connector for all but last P if (i < list.size() - 1) { script.append(".").append(connector).append("("); } @@ -435,7 +436,6 @@ protected Script produceScript(final String traversalSource, final Bytecode o) { static final class SymbolHelper { private final static Map TO_PYTHON_MAP = new HashMap<>(); - private final static Map FROM_PYTHON_MAP = new HashMap<>(); static { TO_PYTHON_MAP.put("global", "global_"); @@ -443,10 +443,6 @@ static final class SymbolHelper { TO_PYTHON_MAP.put("and", "and_"); TO_PYTHON_MAP.put("any", "any_"); TO_PYTHON_MAP.put("as", "as_"); - TO_PYTHON_MAP.put("asString", "as_string"); - TO_PYTHON_MAP.put("asDate", "as_date"); - TO_PYTHON_MAP.put("dateAdd", "date_add"); - TO_PYTHON_MAP.put("dateDiff", "date_diff"); TO_PYTHON_MAP.put("filter", "filter_"); TO_PYTHON_MAP.put("format", "format_"); TO_PYTHON_MAP.put("from", "from_"); @@ -455,23 +451,13 @@ static final class SymbolHelper { TO_PYTHON_MAP.put("is", "is_"); TO_PYTHON_MAP.put("list", "list_"); TO_PYTHON_MAP.put("max", "max_"); - TO_PYTHON_MAP.put("mergeE", "merge_e"); - TO_PYTHON_MAP.put("mergeV", "merge_v"); - TO_PYTHON_MAP.put("inV", "in_v"); - TO_PYTHON_MAP.put("outV", "out_v"); - TO_PYTHON_MAP.put("onCreate", "on_create"); - TO_PYTHON_MAP.put("onMatch", "on_match"); TO_PYTHON_MAP.put("min", "min_"); TO_PYTHON_MAP.put("or", "or_"); TO_PYTHON_MAP.put("not", "not_"); TO_PYTHON_MAP.put("range", "range_"); TO_PYTHON_MAP.put("set", "set_"); TO_PYTHON_MAP.put("sum", "sum_"); - TO_PYTHON_MAP.put("toLower", "to_lower"); - TO_PYTHON_MAP.put("toUpper", "to_upper"); TO_PYTHON_MAP.put("with", "with_"); - // - TO_PYTHON_MAP.forEach((k, v) -> FROM_PYTHON_MAP.put(v, k)); } private SymbolHelper() { @@ -479,14 +465,18 @@ private SymbolHelper() { } public static String toPython(final String symbol) { - // at some point we will want a camel to snake case converter here. for now the only step that needs - // this conversion is mergeE/V related as the rest still continue use in their deprecated forms. - return TO_PYTHON_MAP.getOrDefault(symbol, symbol); + return TO_PYTHON_MAP.getOrDefault(symbol, convertCamelCaseToSnakeCase(symbol)); } - public static String toJava(final String symbol) { - return FROM_PYTHON_MAP.getOrDefault(symbol, symbol); - } + public static String convertCamelCaseToSnakeCase(final String camelCase) { + if (StringUtils.isBlank(camelCase)) + return camelCase; + + // skip if this is a class/enum indicated by the first letter being upper case + if (Character.isUpperCase(camelCase.charAt(0))) + return camelCase; + return camelCase.replaceAll("([A-Z])", "_$1").toLowerCase(); + } } } \ No newline at end of file diff --git a/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslatorTest.java b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslatorTest.java index 016c180fe78..292f8cd50df 100644 --- a/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslatorTest.java +++ b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/process/traversal/translator/PythonTranslatorTest.java @@ -78,7 +78,7 @@ public void shouldTranslateNone() { public void shouldTranslateCardinality() { final String gremlinAsPython = translator.translate( g.addV("person").property(VertexProperty.Cardinality.list, "name", "marko").asAdmin().getBytecode()).getScript(); - assertEquals("g.addV('person').property(Cardinality.list_,'name','marko')", gremlinAsPython); + assertEquals("g.add_v('person').property(Cardinality.list_,'name','marko')", gremlinAsPython); } @Test @@ -94,7 +94,7 @@ public void shouldTranslateCardinalityValue() { public void shouldTranslateMultilineStrings() { final String gremlinAsPython = translator.translate( g.addV().property("text", "a"+ System.lineSeparator() + "\"and\"" + System.lineSeparator() + "b").asAdmin().getBytecode()).getScript(); - assertEquals("g.addV().property('text',\"\"\"a" + System.lineSeparator() + "\"and\"" + System.lineSeparator() + "b\"\"\")", gremlinAsPython); + assertEquals("g.add_v().property('text',\"\"\"a" + System.lineSeparator() + "\"and\"" + System.lineSeparator() + "b\"\"\")", gremlinAsPython); } @Test @@ -102,7 +102,7 @@ public void shouldTranslateChildTraversals() { final String gremlinAsPython = translator.translate( g.V().has("person", "name", "marko"). where(outE()).asAdmin().getBytecode()).getScript(); - assertEquals("g.V().has('person','name','marko').where(__.outE())", gremlinAsPython); + assertEquals("g.V().has('person','name','marko').where(__.out_e())", gremlinAsPython); } @Test @@ -110,7 +110,7 @@ public void shouldTranslatePythonNamedSteps() { final String gremlinAsPython = translator.translate( g.V().has("person", "name", "marko"). where(outE().count().is(2).and(__.not(inE().count().is(3)))).asAdmin().getBytecode()).getScript(); - assertEquals("g.V().has('person','name','marko').where(__.outE().count().is_(2).and_(__.not_(__.inE().count().is_(3))))", gremlinAsPython); + assertEquals("g.V().has('person','name','marko').where(__.out_e().count().is_(2).and_(__.not_(__.in_e().count().is_(3))))", gremlinAsPython); } @Test @@ -122,7 +122,7 @@ public void shouldTranslateTextP() { @Test public void shouldTranslateStrategies() { - assertEquals("g.withStrategies(*[TraversalStrategy('ReadOnlyStrategy', None, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.ReadOnlyStrategy'),TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':False,'vertices':__.hasLabel('person')}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy'),TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().has('name')", + assertEquals("g.with_strategies(*[TraversalStrategy('ReadOnlyStrategy', None, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.ReadOnlyStrategy'),TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':False,'vertices':__.has_label('person')}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy'),TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().has('name')", translator.translate(g.withStrategies(ReadOnlyStrategy.instance(), SubgraphStrategy.build().checkAdjacentVertices(false).vertices(hasLabel("person")).create(), SeedStrategy.build().seed(999999).create()). @@ -140,7 +140,7 @@ public void shouldTranslateLambdas() { .order().by(Lambda.comparator("a,b -> a == b ? 0 : (a > b) ? 1 : -1)", "gremlin-groovy")) .sack(Lambda.biFunction("a,b -> a + b", "gremlin-groovy")) .asAdmin().getBytecode(); - assertEquals("g.withSideEffect('lengthSum',0).withSack(1).V().filter_(lambda: \"x -> x.get().label() == 'person'\").flatMap(lambda: \"it.get().vertices(Direction.OUT)\").map(lambda: \"x -> x : len(x.get().value('name'))\").sideEffect(lambda: \"x -> x.sideEffects(\\\"lengthSum\\\", x.sideEffects('lengthSum') + x.get())\").order().by(lambda: \"a,b -> a == b ? 0 : (a > b) ? 1 : -1)\").sack(lambda: \"a,b -> a + b\")", + assertEquals("g.with_side_effect('lengthSum',0).with_sack(1).V().filter_(lambda: \"x -> x.get().label() == 'person'\").flat_map(lambda: \"it.get().vertices(Direction.OUT)\").map(lambda: \"x -> x : len(x.get().value('name'))\").side_effect(lambda: \"x -> x.sideEffects(\\\"lengthSum\\\", x.sideEffects('lengthSum') + x.get())\").order().by(lambda: \"a,b -> a == b ? 0 : (a > b) ? 1 : -1)\").sack(lambda: \"a,b -> a + b\")", translator.translate(bytecode).getScript()); } @@ -171,4 +171,4 @@ private void assertTranslation(final String expectedTranslation, final Object... final String script = translator.translate(g.inject(objs).asAdmin().getBytecode()).getScript(); assertEquals(String.format("g.inject(%s)", expectedTranslation), script); } -} +} \ No newline at end of file diff --git a/gremlin-groovy/src/test/java/org/apache/tinkerpop/gremlin/groovy/jsr223/GremlinGroovyScriptEngineTest.java b/gremlin-groovy/src/test/java/org/apache/tinkerpop/gremlin/groovy/jsr223/GremlinGroovyScriptEngineTest.java index 2b9761e7a4f..e7facf87cb3 100644 --- a/gremlin-groovy/src/test/java/org/apache/tinkerpop/gremlin/groovy/jsr223/GremlinGroovyScriptEngineTest.java +++ b/gremlin-groovy/src/test/java/org/apache/tinkerpop/gremlin/groovy/jsr223/GremlinGroovyScriptEngineTest.java @@ -515,7 +515,7 @@ public void shouldProduceBindingsForVars() throws Exception { assertThat(bytecodeBindings.containsKey("two"), is(true)); assertThat(bytecodeBindings.containsKey("three"), is(true)); - assertEquals("g.V(v1Id).has('person','age',29).has('person','active',x).in_('knows').merge_e(m1).merge_v(m2).option(Merge.on_create,m3).merge_v(__.identity()).choose(__.out().count()).option(two,__.name).option(three,__.age).filter_(__.outE().count().is_(y)).map(l).order().by('name',o)", gremlinAsPython); + assertEquals("g.V(v1Id).has('person','age',29).has('person','active',x).in_('knows').merge_e(m1).merge_v(m2).option(Merge.on_create,m3).merge_v(__.identity()).choose(__.out().count()).option(two,__.name).option(three,__.age).filter_(__.out_e().count().is_(y)).map(l).order().by('name',o)", gremlinAsPython); } @Test diff --git a/gremlin-python/src/main/python/radish/gremlin.py b/gremlin-python/src/main/python/radish/gremlin.py index c01921d018b..f3c3958f72e 100644 --- a/gremlin-python/src/main/python/radish/gremlin.py +++ b/gremlin-python/src/main/python/radish/gremlin.py @@ -37,48 +37,48 @@ 'g_V_branchXlabel_eq_person__a_bX_optionXa__ageX_optionXb__langX_optionXb__nameX': [(lambda g, l1=None:g.V().branch(l1).option('a',__.age).option('b',__.lang).option('b',__.name))], 'g_V_branchXlabel_isXpersonX_countX_optionX1__ageX_optionX0__langX_optionX0__nameX': [(lambda g, xx1=None,xx2=None:g.V().branch(__.label().is_('person').count()).option(xx1,__.age).option(xx2,__.lang).option(xx2,__.name))], 'g_V_branchXlabel_isXpersonX_countX_optionX1__ageX_optionX0__langX_optionX0__nameX_optionXany__labelX': [(lambda g, xx1=None,xx2=None:g.V().branch(__.label().is_('person').count()).option(xx1,__.age).option(xx2,__.lang).option(xx2,__.name).option(Pick.any_,__.label()))], - 'g_V_branchXageX_optionXltX30X__youngX_optionXgtX30X__oldX_optionXnone__on_the_edgeX': [(lambda g:g.V().hasLabel('person').branch(__.age).option(P.lt(30),__.constant('young')).option(P.gt(30),__.constant('old')).option(Pick.none,__.constant('on the edge')))], - 'g_V_branchXidentityX_optionXhasLabelXsoftwareX__inXcreatedX_name_order_foldX_optionXhasXname_vadasX__ageX_optionXneqX123X__bothE_countX': [(lambda g:g.V().branch(__.identity()).option(__.hasLabel('software'),__.in_('created').name.order().fold()).option(__.has('name','vadas'),__.age).option(P.neq(123),__.bothE().count()))], + 'g_V_branchXageX_optionXltX30X__youngX_optionXgtX30X__oldX_optionXnone__on_the_edgeX': [(lambda g:g.V().has_label('person').branch(__.age).option(P.lt(30),__.constant('young')).option(P.gt(30),__.constant('old')).option(Pick.none,__.constant('on the edge')))], + 'g_V_branchXidentityX_optionXhasLabelXsoftwareX__inXcreatedX_name_order_foldX_optionXhasXname_vadasX__ageX_optionXneqX123X__bothE_countX': [(lambda g:g.V().branch(__.identity()).option(__.has_label('software'),__.in_('created').name.order().fold()).option(__.has('name','vadas'),__.age).option(P.neq(123),__.both_e().count()))], 'g_V_chooseXout_countX_optionX2L_nameX_optionX3L_ageX': [(lambda g, xx1=None,xx2=None:g.V().choose(__.out().count()).option(xx1,__.name).option(xx2,__.age))], 'g_V_chooseXlabel_eqXpersonX__outXknowsX__inXcreatedXX_name': [(lambda g, pred1=None:g.V().choose(pred1,__.out('knows'),__.in_('created')).name)], - 'g_V_chooseXhasLabelXpersonX_and_outXcreatedX__outXknowsX__identityX_name': [(lambda g:g.V().choose(__.hasLabel('person').and_().out('created'),__.out('knows'),__.identity()).name)], + 'g_V_chooseXhasLabelXpersonX_and_outXcreatedX__outXknowsX__identityX_name': [(lambda g:g.V().choose(__.has_label('person').and_().out('created'),__.out('knows'),__.identity()).name)], 'g_V_chooseXlabelX_optionXblah__outXknowsXX_optionXbleep__outXcreatedXX_optionXnone__identityX_name': [(lambda g:g.V().choose(__.label()).option('blah',__.out('knows')).option('bleep',__.out('created')).option(Pick.none,__.identity()).name)], 'g_V_chooseXoutXknowsX_count_isXgtX0XX__outXknowsXX_name': [(lambda g:g.V().choose(__.out('knows').count().is_(P.gt(0)),__.out('knows')).name)], - 'g_V_hasLabelXpersonX_asXp1X_chooseXoutEXknowsX__outXknowsXX_asXp2X_selectXp1_p2X_byXnameX': [(lambda g:g.V().hasLabel('person').as_('p1').choose(__.outE('knows'),__.out('knows')).as_('p2').select('p1','p2').by('name'))], - 'g_V_hasLabelXpersonX_chooseXageX__optionX27L__constantXyoungXX_optionXnone__constantXoldXX_groupCount': [(lambda g, xx1=None:g.V().hasLabel('person').choose(__.age).option(xx1,__.constant('young')).option(Pick.none,__.constant('old')).groupCount())], + 'g_V_hasLabelXpersonX_asXp1X_chooseXoutEXknowsX__outXknowsXX_asXp2X_selectXp1_p2X_byXnameX': [(lambda g:g.V().has_label('person').as_('p1').choose(__.out_e('knows'),__.out('knows')).as_('p2').select('p1','p2').by('name'))], + 'g_V_hasLabelXpersonX_chooseXageX__optionX27L__constantXyoungXX_optionXnone__constantXoldXX_groupCount': [(lambda g, xx1=None:g.V().has_label('person').choose(__.age).option(xx1,__.constant('young')).option(Pick.none,__.constant('old')).group_count())], 'g_injectX1X_chooseXisX1X__constantX10Xfold__foldX': [(lambda g, xx1=None,xx2=None:g.inject(xx2).choose(__.is_(xx2),__.constant(xx1).fold(),__.fold()))], 'g_injectX2X_chooseXisX1X__constantX10Xfold__foldX': [(lambda g, xx1=None,xx3=None,xx2=None:g.inject(xx3).choose(__.is_(xx2),__.constant(xx1).fold(),__.fold()))], 'g_V_localXpropertiesXlocationX_order_byXvalueX_limitX2XX_value': [(lambda g:g.V().local(__.properties('location').order().by(T.value,Order.asc)[0:2]).value())], 'g_V_hasXlabel_personX_asXaX_localXoutXcreatedX_asXbXX_selectXa_bX_byXnameX_byXidX': [(lambda g:g.V().has(T.label,'person').as_('a').local(__.out('created').as_('b')).select('a','b').by('name').by(T.id_))], - 'g_V_localXoutE_countX': [(lambda g:g.V().local(__.outE().count()))], - 'g_VX1X_localXoutEXknowsX_limitX1XX_inV_name': [(lambda g, vid1=None:g.V(vid1).local(__.outE('knows')[0:1]).in_v().name)], - 'g_V_localXbothEXcreatedX_limitX1XX_otherV_name': [(lambda g:g.V().local(__.bothE('created')[0:1]).otherV().name)], - 'g_VX4X_localXbothEX1_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.bothE('created')[0:1]))], - 'g_VX4X_localXbothEXknows_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.bothE('knows','created')[0:1]))], - 'g_VX4X_localXbothE_limitX1XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.bothE()[0:1]).otherV().name)], - 'g_VX4X_localXbothE_limitX2XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.bothE()[0:2]).otherV().name)], - 'g_V_localXinEXknowsX_limitX2XX_outV_name': [(lambda g:g.V().local(__.inE('knows')[0:2]).out_v().name)], + 'g_V_localXoutE_countX': [(lambda g:g.V().local(__.out_e().count()))], + 'g_VX1X_localXoutEXknowsX_limitX1XX_inV_name': [(lambda g, vid1=None:g.V(vid1).local(__.out_e('knows')[0:1]).in_v().name)], + 'g_V_localXbothEXcreatedX_limitX1XX_otherV_name': [(lambda g:g.V().local(__.both_e('created')[0:1]).other_v().name)], + 'g_VX4X_localXbothEX1_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.both_e('created')[0:1]))], + 'g_VX4X_localXbothEXknows_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.both_e('knows','created')[0:1]))], + 'g_VX4X_localXbothE_limitX1XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.both_e()[0:1]).other_v().name)], + 'g_VX4X_localXbothE_limitX2XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.both_e()[0:2]).other_v().name)], + 'g_V_localXinEXknowsX_limitX2XX_outV_name': [(lambda g:g.V().local(__.in_e('knows')[0:2]).out_v().name)], 'g_V_localXmatchXproject__created_person__person_name_nameX_selectXname_projectX_by_byXnameX': [(lambda g:g.V().local(__.match(__.as_('project').in_('created').as_('person'),__.as_('person').name.as_('name'))).select('name','project').by().by('name'))], 'g_VX2X_optionalXoutXknowsXX': [(lambda g, vid2=None:g.V(vid2).optional(__.out('knows')))], 'g_VX2X_optionalXinXknowsXX': [(lambda g, vid2=None:g.V(vid2).optional(__.in_('knows')))], - 'g_V_hasLabelXpersonX_optionalXoutXknowsX_optionalXoutXcreatedXXX_path': [(lambda g:g.V().hasLabel('person').optional(__.out('knows').optional(__.out('created'))).path())], + 'g_V_hasLabelXpersonX_optionalXoutXknowsX_optionalXoutXcreatedXXX_path': [(lambda g:g.V().has_label('person').optional(__.out('knows').optional(__.out('created'))).path())], 'g_V_optionalXout_optionalXoutXX_path': [(lambda g:g.V().optional(__.out().optional(__.out())).path())], - 'g_VX1X_optionalXaddVXdogXX_label': [(lambda g, vid1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.V(vid1).optional(__.addV('dog')).label()), (lambda g, vid1=None:g.V())], + 'g_VX1X_optionalXaddVXdogXX_label': [(lambda g, vid1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.V(vid1).optional(__.add_v('dog')).label()), (lambda g, vid1=None:g.V())], 'g_V_repeatXoutX_timesX2X_emit_path': [(lambda g:g.V().repeat(__.out()).times(2).emit().path())], 'g_V_repeatXoutX_timesX2X_repeatXinX_timesX2X_name': [(lambda g:g.V().repeat(__.out()).times(2).repeat(__.in_()).times(2).name)], - 'g_V_repeatXoutE_inVX_timesX2X_path_by_name_by_label': [(lambda g:g.V().repeat(__.outE().in_v()).times(2).path().by('name').by(T.label))], + 'g_V_repeatXoutE_inVX_timesX2X_path_by_name_by_label': [(lambda g:g.V().repeat(__.out_e().in_v()).times(2).path().by('name').by(T.label))], 'g_V_repeatXoutX_timesX2X': [(lambda g:g.V().repeat(__.out()).times(2))], 'g_V_repeatXoutX_timesX2X_emit': [(lambda g:g.V().repeat(__.out()).times(2).emit())], 'g_VX1X_timesX2X_repeatXoutX_name': [(lambda g, vid1=None:g.V(vid1).times(2).repeat(__.out()).name)], 'g_V_emit_timesX2X_repeatXoutX_path': [(lambda g:g.V().emit().times(2).repeat(__.out()).path())], 'g_V_emit_repeatXoutX_timesX2X_path': [(lambda g:g.V().emit().repeat(__.out()).times(2).path())], 'g_VX1X_emitXhasXlabel_personXX_repeatXoutX_name': [(lambda g, vid1=None:g.V(vid1).emit(__.has(T.label,'person')).repeat(__.out()).name)], - 'g_V_repeatXgroupCountXmX_byXnameX_outX_timesX2X_capXmX': [(lambda g:g.V().repeat(__.groupCount('m').by('name').out()).times(2).cap('m'))], - 'g_VX1X_repeatXgroupCountXmX_byXloopsX_outX_timesX3X_capXmX': [(lambda g, vid1=None:g.V(vid1).repeat(__.groupCount('m').by(__.loops()).out()).times(3).cap('m'))], + 'g_V_repeatXgroupCountXmX_byXnameX_outX_timesX2X_capXmX': [(lambda g:g.V().repeat(__.group_count('m').by('name').out()).times(2).cap('m'))], + 'g_VX1X_repeatXgroupCountXmX_byXloopsX_outX_timesX3X_capXmX': [(lambda g, vid1=None:g.V(vid1).repeat(__.group_count('m').by(__.loops()).out()).times(3).cap('m'))], 'g_V_repeatXbothX_timesX10X_asXaX_out_asXbX_selectXa_bX': [(lambda g:g.V().repeat(__.both()).times(10).as_('a').out().as_('b').select('a','b').count())], - 'g_VX1X_repeatXoutX_untilXoutE_count_isX0XX_name': [(lambda g, vid1=None:g.V(vid1).repeat(__.out()).until(__.outE().count().is_(0)).name)], - 'g_V_repeatXbothX_untilXname_eq_marko_or_loops_gt_1X_groupCount_byXnameX': [(lambda g, pred1=None:g.V().repeat(__.both()).until(pred1).groupCount().by('name'))], - 'g_V_hasXname_markoX_repeatXoutE_inV_simplePathX_untilXhasXname_rippleXX_path_byXnameX_byXlabelX': [(lambda g:g.V().has('name','marko').repeat(__.outE().in_v().simplePath()).until(__.has('name','ripple')).path().by('name').by(T.label))], + 'g_VX1X_repeatXoutX_untilXoutE_count_isX0XX_name': [(lambda g, vid1=None:g.V(vid1).repeat(__.out()).until(__.out_e().count().is_(0)).name)], + 'g_V_repeatXbothX_untilXname_eq_marko_or_loops_gt_1X_groupCount_byXnameX': [(lambda g, pred1=None:g.V().repeat(__.both()).until(pred1).group_count().by('name'))], + 'g_V_hasXname_markoX_repeatXoutE_inV_simplePathX_untilXhasXname_rippleXX_path_byXnameX_byXlabelX': [(lambda g:g.V().has('name','marko').repeat(__.out_e().in_v().simple_path()).until(__.has('name','ripple')).path().by('name').by(T.label))], 'g_V_hasXloop_name_loopX_repeatXinX_timesX5X_path_by_name': [(lambda g:g.V().has('loops','name','loop').repeat(__.in_()).times(5).path().by('name'))], 'g_V_repeatXout_repeatXout_order_byXname_descXX_timesX1XX_timesX1X_limitX1X_path_byXnameX': [(lambda g:g.V().repeat(__.out().repeat(__.out().order().by('name',Order.desc)).times(1)).times(1)[0:1].path().by('name'))], 'g_V_repeatXoutXknowsXX_untilXrepeatXoutXcreatedXX_emitXhasXname_lopXXX_path_byXnameX': [(lambda g:g.V().repeat(__.out('knows')).until(__.repeat(__.out('created')).emit(__.has('name','lop'))).path().by('name'))], @@ -88,25 +88,25 @@ 'g_VX3X_repeatXbothX_createdXX_untilXloops_is_40XXemit_repeatXin_knowsXX_emit_loopsXisX1Xdedup_values': [(lambda g, vid3=None:g.V(vid3).repeat(__.both('created')).until(__.loops().is_(40)).emit(__.repeat(__.in_('knows')).emit(__.loops().is_(1))).dedup().name)], 'g_VX1X_repeatXrepeatXunionXout_uses_out_traversesXX_whereXloops_isX0X_timesX1X_timeX2X_name': [(lambda g, vid1=None:g.V(vid1).repeat(__.repeat(__.union(__.out('uses'),__.out('traverses')).where(__.loops().is_(0))).times(1)).times(2).name)], 'g_V_repeatXa_outXknows_repeatXb_outXcreatedX_filterXloops_isX0XX_emit_lang': [(lambda g:g.V().repeat('a',__.out('knows').repeat('b',__.out('created').filter_(__.loops('a').is_(0))).emit()).emit().lang)], - 'g_VX6X_repeatXa_bothXcreatedX_simplePathX_emitXrepeatXb_bothXknowsXX_untilXloopsXbX_asXb_whereXloopsXaX_asXbX_hasXname_vadasXX_dedup_name': [(lambda g, vid6=None:g.V(vid6).repeat('a',__.both('created').simplePath()).emit(__.repeat('b',__.both('knows')).until(__.loops('b').as_('b').where(__.loops('a').as_('b'))).has('name','vadas')).dedup().name)], + 'g_VX6X_repeatXa_bothXcreatedX_simplePathX_emitXrepeatXb_bothXknowsXX_untilXloopsXbX_asXb_whereXloopsXaX_asXbX_hasXname_vadasXX_dedup_name': [(lambda g, vid6=None:g.V(vid6).repeat('a',__.both('created').simple_path()).emit(__.repeat('b',__.both('knows')).until(__.loops('b').as_('b').where(__.loops('a').as_('b'))).has('name','vadas')).dedup().name)], 'g_unionXX': [(lambda g:g.union())], 'g_unionXV_name': [(lambda g:g.union(__.V().name))], 'g_unionXVXv1X_VX4XX_name': [(lambda g, v4=None,v1=None:g.union(__.V(v1),__.V(v4)).name)], - 'g_unionXV_hasLabelXsoftwareX_V_hasLabelXpersonXX_name': [(lambda g:g.union(__.V().hasLabel('software'),__.V().hasLabel('person')).name)], - 'g_unionXV_out_out_V_hasLabelXsoftwareXX_path': [(lambda g:g.union(__.V().out().out(),__.V().hasLabel('software')).path())], - 'g_unionXV_out_out_V_hasLabelXsoftwareXX_path_byXnameX': [(lambda g:g.union(__.V().out().out(),__.V().hasLabel('software')).path().by('name'))], - 'g_unionXunionXV_out_outX_V_hasLabelXsoftwareXX_path_byXnameX': [(lambda g:g.union(__.union(__.V().out().out()),__.V().hasLabel('software')).path().by('name'))], + 'g_unionXV_hasLabelXsoftwareX_V_hasLabelXpersonXX_name': [(lambda g:g.union(__.V().has_label('software'),__.V().has_label('person')).name)], + 'g_unionXV_out_out_V_hasLabelXsoftwareXX_path': [(lambda g:g.union(__.V().out().out(),__.V().has_label('software')).path())], + 'g_unionXV_out_out_V_hasLabelXsoftwareXX_path_byXnameX': [(lambda g:g.union(__.V().out().out(),__.V().has_label('software')).path().by('name'))], + 'g_unionXunionXV_out_outX_V_hasLabelXsoftwareXX_path_byXnameX': [(lambda g:g.union(__.union(__.V().out().out()),__.V().has_label('software')).path().by('name'))], 'g_unionXinjectX1X_injectX2X': [(lambda g:g.union(__.inject(1),__.inject(2)))], 'g_V_unionXconstantX1X_constantX2X_constantX3XX': [(lambda g, xx1=None,xx3=None,xx2=None,v2=None:g.V(v2).union(__.constant(xx1),__.constant(xx2),__.constant(xx3)))], 'g_V_unionXout__inX_name': [(lambda g:g.V().union(__.out(),__.in_()).name)], 'g_VX1X_unionXrepeatXoutX_timesX2X__outX_name': [(lambda g, vid1=None:g.V(vid1).union(__.repeat(__.out()).times(2),__.out()).name)], 'g_V_chooseXlabel_is_person__unionX__out_lang__out_nameX__in_labelX': [(lambda g:g.V().choose(__.label().is_('person'),__.union(__.out().lang,__.out().name),__.in_().label()))], - 'g_V_chooseXlabel_is_person__unionX__out_lang__out_nameX__in_labelX_groupCount': [(lambda g:g.V().choose(__.label().is_('person'),__.union(__.out().lang,__.out().name),__.in_().label()).groupCount())], - 'g_V_unionXrepeatXunionXoutXcreatedX__inXcreatedXX_timesX2X__repeatXunionXinXcreatedX__outXcreatedXX_timesX2XX_label_groupCount': [(lambda g:g.V().union(__.repeat(__.union(__.out('created'),__.in_('created'))).times(2),__.repeat(__.union(__.in_('created'),__.out('created'))).times(2)).label().groupCount())], - 'g_VX1_2X_unionXoutE_count__inE_count__outE_weight_sumX': [(lambda g, vid2=None,vid1=None:g.V(vid1,vid2).union(__.outE().count(),__.inE().count(),__.outE().weight.sum_()))], - 'g_VX1_2X_localXunionXoutE_count__inE_count__outE_weight_sumXX': [(lambda g, vid2=None,vid1=None:g.V(vid1,vid2).local(__.union(__.outE().count(),__.inE().count(),__.outE().weight.sum_())))], + 'g_V_chooseXlabel_is_person__unionX__out_lang__out_nameX__in_labelX_groupCount': [(lambda g:g.V().choose(__.label().is_('person'),__.union(__.out().lang,__.out().name),__.in_().label()).group_count())], + 'g_V_unionXrepeatXunionXoutXcreatedX__inXcreatedXX_timesX2X__repeatXunionXinXcreatedX__outXcreatedXX_timesX2XX_label_groupCount': [(lambda g:g.V().union(__.repeat(__.union(__.out('created'),__.in_('created'))).times(2),__.repeat(__.union(__.in_('created'),__.out('created'))).times(2)).label().group_count())], + 'g_VX1_2X_unionXoutE_count__inE_count__outE_weight_sumX': [(lambda g, vid2=None,vid1=None:g.V(vid1,vid2).union(__.out_e().count(),__.in_e().count(),__.out_e().weight.sum_()))], + 'g_VX1_2X_localXunionXoutE_count__inE_count__outE_weight_sumXX': [(lambda g, vid2=None,vid1=None:g.V(vid1,vid2).local(__.union(__.out_e().count(),__.in_e().count(),__.out_e().weight.sum_())))], 'g_VX1_2X_localXunionXcountXX': [(lambda g, vid2=None,vid1=None:g.V(vid1,vid2).local(__.union(__.count())))], - 'g_unionXaddVXpersonX_propertyXname_aliceX_addVXpersonX_propertyXname_bobX_addVXpersonX_propertyXname_chrisX_name': [(lambda g:g.union(__.addV('person').property('name','alice'),__.addV('person').property('name','bob'),__.addV('person').property('name','chris')).name)], + 'g_unionXaddVXpersonX_propertyXname_aliceX_addVXpersonX_propertyXname_bobX_addVXpersonX_propertyXname_chrisX_name': [(lambda g:g.union(__.add_v('person').property('name','alice'),__.add_v('person').property('name','bob'),__.add_v('person').property('name','chris')).name)], 'g_V_valuesXageX_allXgtX32XX': [(lambda g:g.V().age.all_(P.gt(32)))], 'g_V_valuesXageX_whereXisXP_gtX33XXX_fold_allXgtX33XX': [(lambda g:g.V().age.where(__.is_(P.gt(33))).fold().all_(P.gt(33)))], 'g_V_valuesXageX_order_byXdescX_fold_allXgtX10XX': [(lambda g:g.V().age.order().by(Order.desc).fold().all_(P.gt(10)))], @@ -119,8 +119,8 @@ 'g_injectX7X_allXeqX7XX': [(lambda g:g.inject(7).all_(P.eq(7)))], 'g_injectXnull_nullX_allXeqXnullXX': [(lambda g, xx1=None:g.inject(xx1).all_(P.eq(None)))], 'g_injectX3_threeX_allXeqX3XX': [(lambda g, xx1=None:g.inject(xx1).all_(P.eq(3)))], - 'g_V_andXhasXage_gt_27X__outE_count_gte_2X_name': [(lambda g:g.V().and_(__.has('age',P.gt(27)),__.outE().count().is_(P.gte(2))).name)], - 'g_V_andXoutE__hasXlabel_personX_and_hasXage_gte_32XX_name': [(lambda g:g.V().and_(__.outE(),__.has(T.label,'person').and_().has('age',P.gte(32))).name)], + 'g_V_andXhasXage_gt_27X__outE_count_gte_2X_name': [(lambda g:g.V().and_(__.has('age',P.gt(27)),__.out_e().count().is_(P.gte(2))).name)], + 'g_V_andXoutE__hasXlabel_personX_and_hasXage_gte_32XX_name': [(lambda g:g.V().and_(__.out_e(),__.has(T.label,'person').and_().has('age',P.gte(32))).name)], 'g_V_asXaX_outXknowsX_and_outXcreatedX_inXcreatedX_asXaX_name': [(lambda g:g.V().as_('a').out('knows').and_().out('created').in_('created').as_('a').name)], 'g_V_asXaX_andXselectXaX_selectXaXX': [(lambda g:g.V().as_('a').and_(__.select('a'),__.select('a')))], 'g_V_hasXname_markoX_and_hasXname_markoX_and_hasXname_markoX': [(lambda g:g.V().has('name','marko').and_().has('name','marko').and_().has('name','marko'))], @@ -138,12 +138,12 @@ 'g_injectX3_threeX_anyXeqX3XX': [(lambda g, xx1=None:g.inject(xx1).any_(P.eq(3)))], 'g_V_coinX1X': [(lambda g:g.V().coin(float(1.0)))], 'g_V_coinX0X': [(lambda g:g.V().coin(float(0.0)))], - 'g_withStrategiesXSeedStrategyX_V_order_byXnameX_coinX50X': [(lambda g:g.withStrategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().order().by('name').coin(float(0.5)))], - 'g_VX1X_outXcreatedX_inXcreatedX_cyclicPath': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').cyclicPath())], - 'g_VX1X_both_both_cyclicPath_byXageX': [(lambda g, vid1=None:g.V(vid1).both().both().cyclicPath().by('age'))], - 'g_VX1X_outXcreatedX_inXcreatedX_cyclicPath_path': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').cyclicPath().path())], - 'g_VX1X_asXaX_outXcreatedX_asXbX_inXcreatedX_asXcX_cyclicPath_fromXaX_toXbX_path': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').as_('b').in_('created').as_('c').cyclicPath().from_('a').to('b').path())], - 'g_injectX0X_V_both_coalesceXhasXname_markoX_both_constantX0XX_cyclicPath_path': [(lambda g:g.inject(0).V().both().coalesce(__.has('name','marko').both(),__.constant(0)).cyclicPath().path())], + 'g_withStrategiesXSeedStrategyX_V_order_byXnameX_coinX50X': [(lambda g:g.with_strategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().order().by('name').coin(float(0.5)))], + 'g_VX1X_outXcreatedX_inXcreatedX_cyclicPath': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').cyclic_path())], + 'g_VX1X_both_both_cyclicPath_byXageX': [(lambda g, vid1=None:g.V(vid1).both().both().cyclic_path().by('age'))], + 'g_VX1X_outXcreatedX_inXcreatedX_cyclicPath_path': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').cyclic_path().path())], + 'g_VX1X_asXaX_outXcreatedX_asXbX_inXcreatedX_asXcX_cyclicPath_fromXaX_toXbX_path': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').as_('b').in_('created').as_('c').cyclic_path().from_('a').to('b').path())], + 'g_injectX0X_V_both_coalesceXhasXname_markoX_both_constantX0XX_cyclicPath_path': [(lambda g:g.inject(0).V().both().coalesce(__.has('name','marko').both(),__.constant(0)).cyclic_path().path())], 'g_V_out_in_valuesXnameX_fold_dedupXlocalX_unfold': [(lambda g:g.V().out().in_().name.fold().dedup(Scope.local).unfold())], 'g_V_out_in_valuesXnameX_fold_dedupXlocalX': [(lambda g:g.V().out().map(__.in_().name.fold().dedup(Scope.local)))], 'g_V_out_asXxX_in_asXyX_selectXx_yX_byXnameX_fold_dedupXlocal_x_yX_unfold': [(lambda g:g.V().out().as_('x').in_().as_('y').select('x','y').by('name').fold().dedup(Scope.local,'x','y').unfold())], @@ -153,30 +153,30 @@ 'g_V_both_both_name_dedup': [(lambda g:g.V().both().both().name.dedup())], 'g_V_both_both_dedup': [(lambda g:g.V().both().both().dedup())], 'g_V_both_both_dedup_byXlabelX': [(lambda g:g.V().both().both().dedup().by(T.label))], - 'g_V_group_byXlabelX_byXbothE_weight_dedup_foldX': [(lambda g:g.V().group().by(T.label).by(__.bothE().weight.dedup().order().by(Order.asc).fold()))], + 'g_V_group_byXlabelX_byXbothE_weight_dedup_foldX': [(lambda g:g.V().group().by(T.label).by(__.both_e().weight.dedup().order().by(Order.asc).fold()))], 'g_V_asXaX_both_asXbX_dedupXa_bX_byXlabelX_selectXa_bX': [(lambda g:g.V().as_('a').both().as_('b').dedup('a','b').by(T.label).select('a','b'))], - 'g_V_asXaX_out_asXbX_in_asXcX_dedupXa_bX_path_byXnameX': [(lambda g:g.addV('person').property('name','alice').as_('a').addV('person').property('name','bob').as_('b').addV('person').property('name','carol').as_('c').addE('knows').from_('a').to('b').addE('likes').from_('a').to('b').addE('likes').from_('a').to('c')), (lambda g:g.V().as_('a').out().as_('b').in_().as_('c').dedup('a','b').path().by('name'))], - 'g_V_outE_asXeX_inV_asXvX_selectXeX_order_byXweight_ascX_selectXvX_valuesXnameX_dedup': [(lambda g:g.V().outE().as_('e').in_v().as_('v').select('e').order().by('weight',Order.asc).select('v').name.dedup())], - 'g_V_both_both_dedup_byXoutE_countX_name': [(lambda g:g.V().both().both().dedup().by(__.outE().count()).name)], - 'g_V_groupCount_selectXvaluesX_unfold_dedup': [(lambda g:g.V().groupCount().select(Column.values).unfold().dedup())], + 'g_V_asXaX_out_asXbX_in_asXcX_dedupXa_bX_path_byXnameX': [(lambda g:g.add_v('person').property('name','alice').as_('a').add_v('person').property('name','bob').as_('b').add_v('person').property('name','carol').as_('c').add_e('knows').from_('a').to('b').add_e('likes').from_('a').to('b').add_e('likes').from_('a').to('c')), (lambda g:g.V().as_('a').out().as_('b').in_().as_('c').dedup('a','b').path().by('name'))], + 'g_V_outE_asXeX_inV_asXvX_selectXeX_order_byXweight_ascX_selectXvX_valuesXnameX_dedup': [(lambda g:g.V().out_e().as_('e').in_v().as_('v').select('e').order().by('weight',Order.asc).select('v').name.dedup())], + 'g_V_both_both_dedup_byXoutE_countX_name': [(lambda g:g.V().both().both().dedup().by(__.out_e().count()).name)], + 'g_V_groupCount_selectXvaluesX_unfold_dedup': [(lambda g:g.V().group_count().select(Column.values).unfold().dedup())], 'g_V_asXaX_repeatXbothX_timesX3X_emit_name_asXbX_group_byXselectXaXX_byXselectXbX_dedup_order_foldX_selectXvaluesX_unfold_dedup': [(lambda g:g.V().as_('a').repeat(__.both()).times(3).emit().name.as_('b').group().by(__.select('a')).by(__.select('b').dedup().order().fold()).select(Column.values).unfold().dedup())], 'g_V_repeatXdedupX_timesX2X_count': [(lambda g:g.V().repeat(__.dedup()).times(2).count())], 'g_V_both_group_by_byXout_dedup_foldX_unfold_selectXvaluesX_unfold_out_order_byXnameX_limitX1X_valuesXnameX': [(lambda g:g.V().both().group().by().by(__.out().dedup().fold()).unfold().select(Column.values).unfold().out().order().by('name')[0:1].name)], - 'g_V_bothE_properties_dedup_count': [(lambda g:g.V().bothE().properties().dedup().count())], + 'g_V_bothE_properties_dedup_count': [(lambda g:g.V().both_e().properties().dedup().count())], 'g_V_both_properties_dedup_count': [(lambda g:g.V().both().properties().dedup().count())], 'g_V_both_properties_properties_dedup_count': [(lambda g:g.V().both().properties().properties().dedup().count())], 'g_V_order_byXname_descX_barrier_dedup_age_name': [(lambda g:g.V().order().by('name',Order.desc).barrier().dedup().by('age').name)], - 'g_withStrategiesXProductiveByStrategyX_V_order_byXname_descX_barrier_dedup_age_name': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().order().by('name',Order.desc).barrier().dedup().by('age').name)], + 'g_withStrategiesXProductiveByStrategyX_V_order_byXname_descX_barrier_dedup_age_name': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().order().by('name',Order.desc).barrier().dedup().by('age').name)], 'g_V_both_dedup_age_name': [(lambda g:g.V().both().dedup().by('age').name)], 'g_VX1X_asXaX_both_asXbX_both_asXcX_dedupXa_bX_age_selectXa_b_cX_name': [(lambda g, vid1=None:g.V(vid1).as_('a').both().as_('b').both().as_('c').dedup('a','b').by('age').select('a','b','c').by('name'))], 'g_VX1X_valuesXageX_dedupXlocalX_unfold': [(lambda g, vid1=None:g.V(vid1).age.dedup(Scope.local).unfold())], - 'g_V_properties_dedup_count': [(lambda g:g.addV('person').property('name','josh').addV('person').property('name','josh').addV('person').property('name','josh')), (lambda g:g.V().properties('name').dedup().count())], - 'g_V_properties_dedup_byXvalueX_count': [(lambda g:g.addV('person').property('name','josh').addV('person').property('name','josh').addV('person').property('name','josh')), (lambda g:g.V().properties('name').dedup().by(T.value).count())], - 'g_V_drop': [(lambda g:g.addV().as_('a').addV().as_('b').addE('knows').to('a')), (lambda g:g.V().drop()), (lambda g:g.V()), (lambda g:g.E())], - 'g_V_outE_drop': [(lambda g:g.addV().as_('a').addV().as_('b').addE('knows').to('a')), (lambda g:g.V().outE().drop()), (lambda g:g.V()), (lambda g:g.E())], - 'g_V_properties_drop': [(lambda g:g.addV().property('name','bob').addV().property('name','alice')), (lambda g:g.V().properties().drop()), (lambda g:g.V()), (lambda g:g.V().properties())], - 'g_E_propertiesXweightX_drop': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.E().properties('weight').drop()), (lambda g:g.E().properties())], - 'g_V_properties_propertiesXstartTimeX_drop': [(lambda g:g.addV().property('name','bob').property(Cardinality.list_,'location','ny','startTime',2014,'endTime',2016).property(Cardinality.list_,'location','va','startTime',2016).addV().property('name','alice').property(Cardinality.list_,'location','va','startTime',2014,'endTime',2016).property(Cardinality.list_,'location','ny','startTime',2016)), (lambda g:g.V().properties().properties('startTime').drop()), (lambda g:g.V().properties().properties()), (lambda g:g.V().properties().properties('startTime'))], + 'g_V_properties_dedup_count': [(lambda g:g.add_v('person').property('name','josh').add_v('person').property('name','josh').add_v('person').property('name','josh')), (lambda g:g.V().properties('name').dedup().count())], + 'g_V_properties_dedup_byXvalueX_count': [(lambda g:g.add_v('person').property('name','josh').add_v('person').property('name','josh').add_v('person').property('name','josh')), (lambda g:g.V().properties('name').dedup().by(T.value).count())], + 'g_V_drop': [(lambda g:g.add_v().as_('a').add_v().as_('b').add_e('knows').to('a')), (lambda g:g.V().drop()), (lambda g:g.V()), (lambda g:g.E())], + 'g_V_outE_drop': [(lambda g:g.add_v().as_('a').add_v().as_('b').add_e('knows').to('a')), (lambda g:g.V().out_e().drop()), (lambda g:g.V()), (lambda g:g.E())], + 'g_V_properties_drop': [(lambda g:g.add_v().property('name','bob').add_v().property('name','alice')), (lambda g:g.V().properties().drop()), (lambda g:g.V()), (lambda g:g.V().properties())], + 'g_E_propertiesXweightX_drop': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.E().properties('weight').drop()), (lambda g:g.E().properties())], + 'g_V_properties_propertiesXstartTimeX_drop': [(lambda g:g.add_v().property('name','bob').property(Cardinality.list_,'location','ny','startTime',2014,'endTime',2016).property(Cardinality.list_,'location','va','startTime',2016).add_v().property('name','alice').property(Cardinality.list_,'location','va','startTime',2014,'endTime',2016).property(Cardinality.list_,'location','ny','startTime',2016)), (lambda g:g.V().properties().properties('startTime').drop()), (lambda g:g.V().properties().properties()), (lambda g:g.V().properties().properties('startTime'))], 'g_V_filterXfalseX': [(lambda g, pred1=None:g.V().filter_(pred1))], 'g_V_filterXtrueX': [(lambda g, pred1=None:g.V().filter_(pred1))], 'g_V_filterXlang_eq_javaX': [(lambda g, pred1=None:g.V().filter_(pred1))], @@ -203,9 +203,9 @@ 'g_VX1X_out_hasXid_2X': [(lambda g, v2=None:g.V(v2).has('age',P.gt(30)))], 'g_V_hasXblahX': [(lambda g:g.V().has('blah'))], 'g_V_hasXperson_name_markoX_age': [(lambda g:g.V().has('person','name','marko').age)], - 'g_VX1X_outE_hasXweight_inside_0_06X_inV': [(lambda g, vid1=None:g.V(vid1).outE().has('weight',P.gt(float(0.0)).and_(P.lt(float(0.6)))).in_v())], - 'g_EX11X_outV_outE_hasXid_10X': [(lambda g, eid11=None,eid10=None:g.E(eid11).out_v().outE().has(T.id_,eid10))], - 'g_EX11X_outV_outE_hasXid_10AsStringX': [(lambda g, eid11=None,eid10=None:g.E(eid11).out_v().outE().has(T.id_,eid10))], + 'g_VX1X_outE_hasXweight_inside_0_06X_inV': [(lambda g, vid1=None:g.V(vid1).out_e().has('weight',P.gt(float(0.0)).and_(P.lt(float(0.6)))).in_v())], + 'g_EX11X_outV_outE_hasXid_10X': [(lambda g, eid11=None,eid10=None:g.E(eid11).out_v().out_e().has(T.id_,eid10))], + 'g_EX11X_outV_outE_hasXid_10AsStringX': [(lambda g, eid11=None,eid10=None:g.E(eid11).out_v().out_e().has(T.id_,eid10))], 'g_V_hasXlocationX': [(lambda g:g.V().has('location'))], 'g_V_hasXage_withinX27X_count': [(lambda g:g.V().has('age',P.within([27])).count())], 'g_V_hasXage_withinX27_nullX_count': [(lambda g:g.V().has('age',P.within([27,None])).count())], @@ -224,12 +224,12 @@ 'g_V_hasXname_not_endingWithXasXX': [(lambda g:g.V().has('name',TextP.notEndingWith('as')))], 'g_V_hasXname_regexXrMarXX': [(lambda g:g.V().has('name',TextP.regex('^mar')))], 'g_V_hasXname_notRegexXrMarXX': [(lambda g:g.V().has('name',TextP.not_regex('^mar')))], - 'g_V_hasXname_regexXTinkerXX': [(lambda g:g.addV('software').property('name','Apache TinkerPop©')), (lambda g:g.V().has('name',TextP.regex('Tinker')).name)], - 'g_V_hasXname_regexXTinkerUnicodeXX': [(lambda g:g.addV('software').property('name','Apache TinkerPop©')), (lambda g:g.V().has('name',TextP.regex('Tinker.*©')).name)], + 'g_V_hasXname_regexXTinkerXX': [(lambda g:g.add_v('software').property('name','Apache TinkerPop©')), (lambda g:g.V().has('name',TextP.regex('Tinker')).name)], + 'g_V_hasXname_regexXTinkerUnicodeXX': [(lambda g:g.add_v('software').property('name','Apache TinkerPop©')), (lambda g:g.V().has('name',TextP.regex('Tinker.*©')).name)], 'g_V_hasXp_neqXvXX': [(lambda g:g.V().has('p',P.neq('v')))], 'g_V_hasXage_gtX18X_andXltX30XXorXgtx35XXX': [(lambda g:g.V().has('age',P.gt(18).and_(P.lt(30)).or_(P.gt(35))))], 'g_V_hasXage_gtX18X_andXltX30XXorXltx35XXX': [(lambda g:g.V().has('age',P.gt(18).and_(P.lt(30)).and_(P.lt(35))))], - 'g_V_hasXk_withinXcXX_valuesXkX': [(lambda g:g.addV().property('k','轉注').addV().property('k','✦').addV().property('k','♠').addV().property('k','A')), (lambda g:g.V().has('k',P.within(['轉注','✦','♠'])).k)], + 'g_V_hasXk_withinXcXX_valuesXkX': [(lambda g:g.add_v().property('k','轉注').add_v().property('k','✦').add_v().property('k','♠').add_v().property('k','A')), (lambda g:g.V().has('k',P.within(['轉注','✦','♠'])).k)], 'g_V_hasXnullX': [(lambda g:g.V().has(None))], 'g_V_hasXnull_testnullkeyX': [(lambda g:g.V().has(None,'test-null-key'))], 'g_E_hasXnullX': [(lambda g:g.E().has(None))], @@ -237,52 +237,52 @@ 'g_V_hasXlabel_eqXpersonXX': [(lambda g:g.V().has(T.label,P.eq('person')))], 'g_V_hasXlabel_isXpersonXX': [(lambda g:g.V().has(T.label,__.is_('person')))], 'g_V_hasXname_nullX': [(lambda g:g.V().has('name',None))], - 'g_V_hasIdXemptyX_count': [(lambda g, xx1=None:g.V().hasId(xx1).count())], - 'g_V_hasIdXwithinXemptyXX_count': [(lambda g, xx1=None:g.V().hasId(xx1).count())], - 'g_V_hasIdXwithoutXemptyXX_count': [(lambda g, xx1=None:g.V().hasId(xx1).count())], - 'g_V_notXhasIdXwithinXemptyXXX_count': [(lambda g, xx1=None:g.V().not_(__.hasId(xx1)).count())], - 'g_V_hasIdXnullX': [(lambda g:g.V().hasId(None))], - 'g_V_hasIdXeqXnullXX': [(lambda g:g.V().hasId(P.eq(None)))], - 'g_V_hasIdX2_nullX': [(lambda g, vid2=None:g.V().hasId(vid2,None))], - 'g_V_hasIdX2AsString_nullX': [(lambda g, vid2=None:g.V().hasId(vid2,None))], - 'g_V_hasIdX1AsString_2AsString_nullX': [(lambda g, vid2=None,vid1=None:g.V().hasId(vid1,vid2,None))], - 'g_V_hasIdXnull_2X': [(lambda g, vid2=None:g.V().hasId(None,vid2))], - 'g_V_hasIdX1X_hasIdX2X': [(lambda g, vid2=None,vid1=None:g.V().hasId(vid1).hasId(vid2))], - 'g_V_in_hasIdXneqX1XX': [(lambda g, xx1=None:g.V().in_().hasId(xx1))], - 'g_VX1X_out_hasIdX2X': [(lambda g, vid2=None,vid1=None:g.V(vid1).out().hasId(vid2))], - 'g_VX1X_out_hasXid_2_3X': [(lambda g, vid3=None,vid2=None,vid1=None:g.V(vid1).out().hasId(vid2,vid3))], - 'g_VX1X_out_hasXid_2AsString_3AsStringX': [(lambda g, vid3=None,vid2=None,vid1=None:g.V(vid1).out().hasId(vid2,vid3))], - 'g_VX1AsStringX_out_hasXid_2AsStringX': [(lambda g, vid2=None,vid1=None:g.V(vid1).out().hasId(vid2))], - 'g_VX1X_out_hasXid_2_3X_inList': [(lambda g, xx1=None,vid1=None:g.V(vid1).out().hasId(xx1))], - 'g_V_hasXid_1_2X': [(lambda g, vid2=None,vid1=None:g.V().hasId(vid1,vid2))], - 'g_V_hasXid_1_2X_inList': [(lambda g, xx1=None:g.V().hasId(xx1))], - 'g_V_both_dedup_properties_hasKeyXageX_value': [(lambda g:g.V().both().properties().dedup().hasKey('age').value())], - 'g_V_both_properties_dedup_hasKeyXageX_hasValueXgtX30XX_value': [(lambda g:g.V().both().properties().dedup().hasKey('age').hasValue(P.gt(30)).value()), (lambda g:g.V().both().properties().dedup().hasKey('age').hasValue(P.gt(30)).value())], - 'g_V_bothE_properties_dedup_hasKeyXweightX_value': [(lambda g:g.V().bothE().properties().dedup().hasKey('weight').value())], - 'g_V_bothE_properties_dedup_hasKeyXweightX_hasValueXltX0d3XX_value': [(lambda g:g.V().bothE().properties().dedup().hasKey('weight').hasValue(P.lt(float(0.3))).value()), (lambda g:g.V().bothE().properties().dedup().hasKey('weight').hasValue(P.lt(float(0.3))).value())], - 'g_V_properties_hasKeyXnullX': [(lambda g:g.V().properties().hasKey(None))], - 'g_V_properties_hasKeyXnull_nullX': [(lambda g:g.V().properties().hasKey(None,None))], - 'g_V_properties_hasKeyXnull_ageX_value': [(lambda g:g.V().properties().hasKey(None,'age').value())], - 'g_E_properties_hasKeyXnullX': [(lambda g:g.E().properties().hasKey(None))], - 'g_E_properties_hasKeyXnull_nullX': [(lambda g:g.E().properties().hasKey(None,None))], - 'g_E_properties_hasKeyXnull_weightX_value': [(lambda g:g.E().properties().hasKey(None,'weight').value())], - 'g_EX7X_hasLabelXknowsX': [(lambda g, eid7=None:g.E(eid7).hasLabel('knows'))], - 'g_E_hasLabelXknowsX': [(lambda g:g.E().hasLabel('knows'))], - 'g_E_hasLabelXuses_traversesX': [(lambda g:g.E().hasLabel('uses','traverses'))], - 'g_V_hasLabelXperson_software_blahX': [(lambda g:g.V().hasLabel('person','software','blah'))], - 'g_V_hasLabelXpersonX_hasLabelXsoftwareX': [(lambda g:g.V().hasLabel('person').hasLabel('software'))], - 'g_V_hasLabelXpersonX_hasXage_notXlteX10X_andXnotXbetweenX11_20XXXX_andXltX29X_orXeqX35XXXX_name': [(lambda g:g.V().hasLabel('person').has('age',P.gt(10).or_(P.gte(11).and_(P.lt(20))).and_(P.lt(29).or_(P.eq(35)))).name)], - 'g_V_hasLabelXnullX': [(lambda g:g.V().hasLabel(None))], + 'g_V_hasIdXemptyX_count': [(lambda g, xx1=None:g.V().has_id(xx1).count())], + 'g_V_hasIdXwithinXemptyXX_count': [(lambda g, xx1=None:g.V().has_id(xx1).count())], + 'g_V_hasIdXwithoutXemptyXX_count': [(lambda g, xx1=None:g.V().has_id(xx1).count())], + 'g_V_notXhasIdXwithinXemptyXXX_count': [(lambda g, xx1=None:g.V().not_(__.has_id(xx1)).count())], + 'g_V_hasIdXnullX': [(lambda g:g.V().has_id(None))], + 'g_V_hasIdXeqXnullXX': [(lambda g:g.V().has_id(P.eq(None)))], + 'g_V_hasIdX2_nullX': [(lambda g, vid2=None:g.V().has_id(vid2,None))], + 'g_V_hasIdX2AsString_nullX': [(lambda g, vid2=None:g.V().has_id(vid2,None))], + 'g_V_hasIdX1AsString_2AsString_nullX': [(lambda g, vid2=None,vid1=None:g.V().has_id(vid1,vid2,None))], + 'g_V_hasIdXnull_2X': [(lambda g, vid2=None:g.V().has_id(None,vid2))], + 'g_V_hasIdX1X_hasIdX2X': [(lambda g, vid2=None,vid1=None:g.V().has_id(vid1).has_id(vid2))], + 'g_V_in_hasIdXneqX1XX': [(lambda g, xx1=None:g.V().in_().has_id(xx1))], + 'g_VX1X_out_hasIdX2X': [(lambda g, vid2=None,vid1=None:g.V(vid1).out().has_id(vid2))], + 'g_VX1X_out_hasXid_2_3X': [(lambda g, vid3=None,vid2=None,vid1=None:g.V(vid1).out().has_id(vid2,vid3))], + 'g_VX1X_out_hasXid_2AsString_3AsStringX': [(lambda g, vid3=None,vid2=None,vid1=None:g.V(vid1).out().has_id(vid2,vid3))], + 'g_VX1AsStringX_out_hasXid_2AsStringX': [(lambda g, vid2=None,vid1=None:g.V(vid1).out().has_id(vid2))], + 'g_VX1X_out_hasXid_2_3X_inList': [(lambda g, xx1=None,vid1=None:g.V(vid1).out().has_id(xx1))], + 'g_V_hasXid_1_2X': [(lambda g, vid2=None,vid1=None:g.V().has_id(vid1,vid2))], + 'g_V_hasXid_1_2X_inList': [(lambda g, xx1=None:g.V().has_id(xx1))], + 'g_V_both_dedup_properties_hasKeyXageX_value': [(lambda g:g.V().both().properties().dedup().has_key('age').value())], + 'g_V_both_properties_dedup_hasKeyXageX_hasValueXgtX30XX_value': [(lambda g:g.V().both().properties().dedup().has_key('age').has_value(P.gt(30)).value()), (lambda g:g.V().both().properties().dedup().has_key('age').has_value(P.gt(30)).value())], + 'g_V_bothE_properties_dedup_hasKeyXweightX_value': [(lambda g:g.V().both_e().properties().dedup().has_key('weight').value())], + 'g_V_bothE_properties_dedup_hasKeyXweightX_hasValueXltX0d3XX_value': [(lambda g:g.V().both_e().properties().dedup().has_key('weight').has_value(P.lt(float(0.3))).value()), (lambda g:g.V().both_e().properties().dedup().has_key('weight').has_value(P.lt(float(0.3))).value())], + 'g_V_properties_hasKeyXnullX': [(lambda g:g.V().properties().has_key(None))], + 'g_V_properties_hasKeyXnull_nullX': [(lambda g:g.V().properties().has_key(None,None))], + 'g_V_properties_hasKeyXnull_ageX_value': [(lambda g:g.V().properties().has_key(None,'age').value())], + 'g_E_properties_hasKeyXnullX': [(lambda g:g.E().properties().has_key(None))], + 'g_E_properties_hasKeyXnull_nullX': [(lambda g:g.E().properties().has_key(None,None))], + 'g_E_properties_hasKeyXnull_weightX_value': [(lambda g:g.E().properties().has_key(None,'weight').value())], + 'g_EX7X_hasLabelXknowsX': [(lambda g, eid7=None:g.E(eid7).has_label('knows'))], + 'g_E_hasLabelXknowsX': [(lambda g:g.E().has_label('knows'))], + 'g_E_hasLabelXuses_traversesX': [(lambda g:g.E().has_label('uses','traverses'))], + 'g_V_hasLabelXperson_software_blahX': [(lambda g:g.V().has_label('person','software','blah'))], + 'g_V_hasLabelXpersonX_hasLabelXsoftwareX': [(lambda g:g.V().has_label('person').has_label('software'))], + 'g_V_hasLabelXpersonX_hasXage_notXlteX10X_andXnotXbetweenX11_20XXXX_andXltX29X_orXeqX35XXXX_name': [(lambda g:g.V().has_label('person').has('age',P.gt(10).or_(P.gte(11).and_(P.lt(20))).and_(P.lt(29).or_(P.eq(35)))).name)], + 'g_V_hasLabelXnullX': [(lambda g:g.V().has_label(None))], 'g_V_hasXlabel_nullX': [(lambda g:g.V().has(T.label,None))], - 'g_V_hasLabelXnull_nullX': [(lambda g:g.V().hasLabel(None,None))], - 'g_V_hasLabelXnull_personX': [(lambda g:g.V().hasLabel(None,'person'))], - 'g_E_hasLabelXnullX': [(lambda g:g.E().hasLabel(None))], + 'g_V_hasLabelXnull_nullX': [(lambda g:g.V().has_label(None,None))], + 'g_V_hasLabelXnull_personX': [(lambda g:g.V().has_label(None,'person'))], + 'g_E_hasLabelXnullX': [(lambda g:g.E().has_label(None))], 'g_E_hasXlabel_nullX': [(lambda g:g.E().has(T.label,None))], - 'g_V_properties_hasLabelXnullX': [(lambda g:g.V().properties().hasLabel(None))], - 'g_V_hasNotXageX_name': [(lambda g:g.V().hasNot('age').name)], - 'g_V_properties_hasValueXnullX': [(lambda g:g.V().properties().hasValue(None))], - 'g_V_properties_hasValueXnull_nullX': [(lambda g:g.V().properties().hasValue(None,None))], - 'g_V_properties_hasValueXnull_joshX_value': [(lambda g:g.V().properties().hasValue(None,'josh').value())], + 'g_V_properties_hasLabelXnullX': [(lambda g:g.V().properties().has_label(None))], + 'g_V_hasNotXageX_name': [(lambda g:g.V().has_not('age').name)], + 'g_V_properties_hasValueXnullX': [(lambda g:g.V().properties().has_value(None))], + 'g_V_properties_hasValueXnull_nullX': [(lambda g:g.V().properties().has_value(None,None))], + 'g_V_properties_hasValueXnull_joshX_value': [(lambda g:g.V().properties().has_value(None,'josh').value())], 'g_V_valuesXageX_isX32X': [(lambda g:g.V().age.is_(32))], 'g_V_valuesXageX_isXlte_30X': [(lambda g:g.V().age.is_(P.lte(30)))], 'g_V_valuesXageX_isXgte_29X_isXlt_34X': [(lambda g:g.V().age.is_(P.gte(29)).is_(P.lt(34)))], @@ -294,38 +294,38 @@ 'g_V_none_fold_none': [(lambda g:g.V().none().fold().none())], 'g_V_none_fold_constantX1X': [(lambda g:g.V().none().fold().constant(1))], 'g_V_projectXxX_byXcoalesceXage_isXgtX29XX_noneXX_selectXxX': [(lambda g:g.V().project('x').by(__.coalesce(__.age.is_(P.gt(29)),__.none())).select('x'))], - 'g_V_orXhasXage_gt_27X__outE_count_gte_2X_name': [(lambda g:g.V().or_(__.has('age',P.gt(27)),__.outE().count().is_(P.gte(2))).name)], - 'g_V_orXoutEXknowsX__hasXlabel_softwareX_or_hasXage_gte_35XX_name': [(lambda g:g.V().or_(__.outE('knows'),__.has(T.label,'software').or_().has('age',P.gte(35))).name)], + 'g_V_orXhasXage_gt_27X__outE_count_gte_2X_name': [(lambda g:g.V().or_(__.has('age',P.gt(27)),__.out_e().count().is_(P.gte(2))).name)], + 'g_V_orXoutEXknowsX__hasXlabel_softwareX_or_hasXage_gte_35XX_name': [(lambda g:g.V().or_(__.out_e('knows'),__.has(T.label,'software').or_().has('age',P.gte(35))).name)], 'g_V_asXaX_orXselectXaX_selectXaXX': [(lambda g:g.V().as_('a').or_(__.select('a'),__.select('a')))], 'g_VX1X_out_limitX2X': [(lambda g, vid1=None:g.V(vid1).out()[0:2])], - 'g_V_localXoutE_limitX1X_inVX_limitX3X': [(lambda g:g.V().local(__.outE()[0:1]).in_v()[0:3])], - 'g_VX1X_outXknowsX_outEXcreatedX_rangeX0_1X_inV': [(lambda g, vid1=None:g.V(vid1).out('knows').outE('created')[0].in_v())], + 'g_V_localXoutE_limitX1X_inVX_limitX3X': [(lambda g:g.V().local(__.out_e()[0:1]).in_v()[0:3])], + 'g_VX1X_outXknowsX_outEXcreatedX_rangeX0_1X_inV': [(lambda g, vid1=None:g.V(vid1).out('knows').out_e('created')[0].in_v())], 'g_VX1X_outXknowsX_outXcreatedX_rangeX0_1X': [(lambda g, vid1=None:g.V(vid1).out('knows').out('created')[0])], 'g_VX1X_outXcreatedX_inXcreatedX_rangeX1_3X': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created')[1:3])], - 'g_VX1X_outXcreatedX_inEXcreatedX_rangeX1_3X_outV': [(lambda g, vid1=None:g.V(vid1).out('created').inE('created')[1:3].out_v())], + 'g_VX1X_outXcreatedX_inEXcreatedX_rangeX1_3X_outV': [(lambda g, vid1=None:g.V(vid1).out('created').in_e('created')[1:3].out_v())], 'g_V_repeatXbothX_timesX3X_rangeX5_11X': [(lambda g:g.V().repeat(__.both()).times(3)[5:11])], 'g_V_asXaX_in_asXbX_in_asXcX_selectXa_b_cX_byXnameX_limitXlocal_2X': [(lambda g:g.V().as_('a').in_().as_('b').in_().as_('c').select('a','b','c').by('name').limit(Scope.local,2))], 'g_V_asXaX_in_asXbX_in_asXcX_selectXa_b_cX_byXnameX_limitXlocal_1X': [(lambda g:g.V().as_('a').in_().as_('b').in_().as_('c').select('a','b','c').by('name').limit(Scope.local,1))], 'g_V_asXaX_out_asXbX_out_asXcX_selectXa_b_cX_byXnameX_rangeXlocal_1_3X': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').select('a','b','c').by('name').range_(Scope.local,1,3))], 'g_V_asXaX_out_asXbX_out_asXcX_selectXa_b_cX_byXnameX_rangeXlocal_1_2X': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').select('a','b','c').by('name').range_(Scope.local,1,2))], - 'g_V_hasLabelXpersonX_order_byXageX_skipX1X_valuesXnameX': [(lambda g:g.V().hasLabel('person').order().by('age').skip(1).name)], + 'g_V_hasLabelXpersonX_order_byXageX_skipX1X_valuesXnameX': [(lambda g:g.V().has_label('person').order().by('age').skip(1).name)], 'g_V_foldX_rangeXlocal_6_7X': [(lambda g:g.V().fold().range_(Scope.local,6,7))], - 'g_V_outE_valuesXweightX_fold_orderXlocalX_skipXlocal_2X': [(lambda g:g.V().outE().weight.fold().order(Scope.local).skip(Scope.local,2))], - 'g_V_hasLabelXpersonX_order_byXageX_valuesXnameX_skipX1X': [(lambda g:g.V().hasLabel('person').order().by('age').name.skip(1))], + 'g_V_outE_valuesXweightX_fold_orderXlocalX_skipXlocal_2X': [(lambda g:g.V().out_e().weight.fold().order(Scope.local).skip(Scope.local,2))], + 'g_V_hasLabelXpersonX_order_byXageX_valuesXnameX_skipX1X': [(lambda g:g.V().has_label('person').order().by('age').name.skip(1))], 'g_VX1X_valuesXageX_rangeXlocal_20_30X': [(lambda g, vid1=None:g.V(vid1).age.range_(Scope.local,20,30))], - 'g_V_mapXin_hasIdX1XX_limitX2X_valuesXnameX': [(lambda g, vid1=None:g.V().map(__.in_().hasId(vid1))[0:2].name)], + 'g_V_mapXin_hasIdX1XX_limitX2X_valuesXnameX': [(lambda g, vid1=None:g.V().map(__.in_().has_id(vid1))[0:2].name)], 'g_E_sampleX1X': [(lambda g:g.E().sample(1))], 'g_E_sampleX2X_byXweightX': [(lambda g:g.E().sample(2).by('weight'))], - 'g_V_localXoutE_sampleX1X_byXweightXX': [(lambda g:g.V().local(__.outE().sample(1).by('weight')))], - 'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_sampleX2X_foldXunfold': [(lambda g:g.withStrategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().group().by(T.label).by(__.bothE().weight.order().sample(2).fold()).unfold())], - 'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_fold_sampleXlocal_5XXunfold': [(lambda g:g.withStrategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().group().by(T.label).by(__.bothE().weight.order().fold().sample(Scope.local,5)).unfold())], - 'g_withStrategiesXSeedStrategyX_V_order_byXlabel_descX_sampleX1X_byXageX': [(lambda g:g.withStrategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().order().by(T.label,Order.desc).sample(1).by('age'))], + 'g_V_localXoutE_sampleX1X_byXweightXX': [(lambda g:g.V().local(__.out_e().sample(1).by('weight')))], + 'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_sampleX2X_foldXunfold': [(lambda g:g.with_strategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().group().by(T.label).by(__.both_e().weight.order().sample(2).fold()).unfold())], + 'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_fold_sampleXlocal_5XXunfold': [(lambda g:g.with_strategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().group().by(T.label).by(__.both_e().weight.order().fold().sample(Scope.local,5)).unfold())], + 'g_withStrategiesXSeedStrategyX_V_order_byXlabel_descX_sampleX1X_byXageX': [(lambda g:g.with_strategies(*[TraversalStrategy('SeedStrategy',{'seed':999999,'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V().order().by(T.label,Order.desc).sample(1).by('age'))], 'g_VX1X_valuesXageX_sampleXlocal_5X': [(lambda g, vid1=None:g.V(vid1).age.sample(Scope.local,5))], - 'g_VX1X_outXcreatedX_inXcreatedX_simplePath': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').simplePath())], - 'g_V_repeatXboth_simplePathX_timesX3X_path': [(lambda g:g.V().repeat(__.both().simplePath()).times(3).path())], - 'g_V_asXaX_out_asXbX_out_asXcX_simplePath_byXlabelX_fromXbX_toXcX_path_byXnameX': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').simplePath().by(T.label).from_('b').to('c').path().by('name'))], - 'g_injectX0X_V_both_coalesceXhasXname_markoX_both_constantX0XX_simplePath_path': [(lambda g:g.inject(0).V().both().coalesce(__.has('name','marko').both(),__.constant(0)).simplePath().path())], - 'g_V_both_asXaX_both_asXbX_simplePath_path_byXageX__fromXaX_toXbX': [(lambda g:g.V().both().as_('a').both().as_('b').simplePath().path().by('age').from_('a').to('b'))], + 'g_VX1X_outXcreatedX_inXcreatedX_simplePath': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').simple_path())], + 'g_V_repeatXboth_simplePathX_timesX3X_path': [(lambda g:g.V().repeat(__.both().simple_path()).times(3).path())], + 'g_V_asXaX_out_asXbX_out_asXcX_simplePath_byXlabelX_fromXbX_toXcX_path_byXnameX': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').simple_path().by(T.label).from_('b').to('c').path().by('name'))], + 'g_injectX0X_V_both_coalesceXhasXname_markoX_both_constantX0XX_simplePath_path': [(lambda g:g.inject(0).V().both().coalesce(__.has('name','marko').both(),__.constant(0)).simple_path().path())], + 'g_V_both_asXaX_both_asXbX_simplePath_path_byXageX__fromXaX_toXbX': [(lambda g:g.V().both().as_('a').both().as_('b').simple_path().path().by('age').from_('a').to('b'))], 'g_V_valuesXnameX_order_tailXglobal_2X': [(lambda g:g.V().name.order().tail(Scope.global_,2))], 'g_V_valuesXnameX_order_tailX2X': [(lambda g:g.V().name.order().tail(2))], 'g_V_valuesXnameX_order_tail': [(lambda g:g.V().name.order().tail())], @@ -346,14 +346,14 @@ 'g_V_hasXageX_asXaX_out_in_hasXageX_asXbX_selectXa_bX_whereXb_hasXname_markoXX': [(lambda g:g.V().has('age').as_('a').out().in_().has('age').as_('b').select('a','b').where(__.as_('b').has('name','marko')))], 'g_V_hasXageX_asXaX_out_in_hasXageX_asXbX_selectXa_bX_whereXa_outXknowsX_bX': [(lambda g:g.V().has('age').as_('a').out().in_().has('age').as_('b').select('a','b').where(__.as_('a').out('knows').as_('b')))], 'g_V_asXaX_outXcreatedX_whereXasXaX_name_isXjoshXX_inXcreatedX_name': [(lambda g:g.V().as_('a').out('created').where(__.as_('a').name.is_('josh')).in_('created').name)], - 'g_withSideEffectXa_josh_peterX_VX1X_outXcreatedX_inXcreatedX_name_whereXwithinXaXX': [(lambda g, xx1=None,vid1=None:g.withSideEffect('a',xx1).V(vid1).out('created').in_('created').name.where(P.within(['a'])))], + 'g_withSideEffectXa_josh_peterX_VX1X_outXcreatedX_inXcreatedX_name_whereXwithinXaXX': [(lambda g, xx1=None,vid1=None:g.with_side_effect('a',xx1).V(vid1).out('created').in_('created').name.where(P.within(['a'])))], 'g_VX1X_asXaX_outXcreatedX_inXcreatedX_asXbX_whereXa_neqXbXX_name': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').in_('created').as_('b').where('a',P.neq('b')).name)], 'g_VX1X_asXaX_outXcreatedX_inXcreatedX_asXbX_whereXasXbX_outXcreatedX_hasXname_rippleXX_valuesXage_nameX': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').in_('created').as_('b').where(__.as_('b').out('created').has('name','ripple')).values('age','name'))], 'g_VX1X_asXaX_outXcreatedX_inXcreatedX_whereXeqXaXX_name': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').in_('created').where(P.eq('a')).name)], 'g_VX1X_asXaX_outXcreatedX_inXcreatedX_whereXneqXaXX_name': [(lambda g, vid1=None:g.V(vid1).as_('a').out('created').in_('created').where(P.neq('a')).name)], 'g_VX1X_out_aggregateXxX_out_whereXnotXwithinXaXXX': [(lambda g, vid1=None:g.V(vid1).out().aggregate('x').out().where(P.without(['x'])))], - 'g_withSideEffectXa_g_VX2XX_VX1X_out_whereXneqXaXX': [(lambda g, vid1=None,v2=None:g.withSideEffect('a',v2).V(vid1).out().where(P.neq('a')))], - 'g_VX1X_repeatXbothEXcreatedX_whereXwithoutXeXX_aggregateXeX_otherVX_emit_path': [(lambda g, vid1=None:g.V(vid1).repeat(__.bothE('created').where(P.without(['e'])).aggregate('e').otherV()).emit().path())], + 'g_withSideEffectXa_g_VX2XX_VX1X_out_whereXneqXaXX': [(lambda g, vid1=None,v2=None:g.with_side_effect('a',v2).V(vid1).out().where(P.neq('a')))], + 'g_VX1X_repeatXbothEXcreatedX_whereXwithoutXeXX_aggregateXeX_otherVX_emit_path': [(lambda g, vid1=None:g.V(vid1).repeat(__.both_e('created').where(P.without(['e'])).aggregate('e').other_v()).emit().path())], 'g_V_whereXnotXoutXcreatedXXX_name': [(lambda g:g.V().where(__.not_(__.out('created'))).name)], 'g_V_asXaX_out_asXbX_whereXandXasXaX_outXknowsX_asXbX__orXasXbX_outXcreatedX_hasXname_rippleX__asXbX_inXknowsX_count_isXnotXeqX0XXXXX_selectXa_bX': [(lambda g:g.V().as_('a').out().as_('b').where(__.and_(__.as_('a').out('knows').as_('b'),__.or_(__.as_('b').out('created').has('name','ripple'),__.as_('b').in_('knows').count().is_(P.neq(0))))).select('a','b'))], 'g_V_whereXoutXcreatedX_and_outXknowsX_or_inXknowsXX_valuesXnameX': [(lambda g:g.V().where(__.out('created').and_().out('knows').or_().in_('knows')).name)], @@ -361,151 +361,151 @@ 'g_V_asXaX_outXcreatedX_asXbX_inXcreatedX_asXcX_bothXknowsX_bothXknowsX_asXdX_whereXc__notXeqXaX_orXeqXdXXXX_selectXa_b_c_dX': [(lambda g:g.V().as_('a').out('created').as_('b').in_('created').as_('c').both('knows').both('knows').as_('d').where('c',P.neq('a').and_(P.neq('d'))).select('a','b','c','d'))], 'g_V_asXaX_out_asXbX_whereXin_count_isXeqX3XX_or_whereXoutXcreatedX_and_hasXlabel_personXXX_selectXa_bX': [(lambda g:g.V().as_('a').out().as_('b').where(__.as_('b').in_().count().is_(P.eq(3)).or_().where(__.as_('b').out('created').and_().as_('b').has(T.label,'person'))).select('a','b'))], 'g_V_asXaX_outXcreatedX_inXcreatedX_asXbX_whereXa_gtXbXX_byXageX_selectXa_bX_byXnameX': [(lambda g:g.V().as_('a').out('created').in_('created').as_('b').where('a',P.gt('b')).by('age').select('a','b').by('name'))], - 'g_V_asXaX_outEXcreatedX_asXbX_inV_asXcX_whereXa_gtXbX_orXeqXbXXX_byXageX_byXweightX_byXweightX_selectXa_cX_byXnameX': [(lambda g:g.V().as_('a').outE('created').as_('b').in_v().as_('c').where('a',P.gt('b').or_(P.eq('b'))).by('age').by('weight').by('weight').select('a','c').by('name'))], - 'g_V_asXaX_outEXcreatedX_asXbX_inV_asXcX_inXcreatedX_asXdX_whereXa_ltXbX_orXgtXcXX_andXneqXdXXX_byXageX_byXweightX_byXinXcreatedX_valuesXageX_minX_selectXa_c_dX': [(lambda g:g.V().as_('a').outE('created').as_('b').in_v().as_('c').in_('created').as_('d').where('a',P.lt('b').or_(P.gt('c')).and_(P.neq('d'))).by('age').by('weight').by(__.in_('created').age.min_()).select('a','c','d').by('name'))], + 'g_V_asXaX_outEXcreatedX_asXbX_inV_asXcX_whereXa_gtXbX_orXeqXbXXX_byXageX_byXweightX_byXweightX_selectXa_cX_byXnameX': [(lambda g:g.V().as_('a').out_e('created').as_('b').in_v().as_('c').where('a',P.gt('b').or_(P.eq('b'))).by('age').by('weight').by('weight').select('a','c').by('name'))], + 'g_V_asXaX_outEXcreatedX_asXbX_inV_asXcX_inXcreatedX_asXdX_whereXa_ltXbX_orXgtXcXX_andXneqXdXXX_byXageX_byXweightX_byXinXcreatedX_valuesXageX_minX_selectXa_c_dX': [(lambda g:g.V().as_('a').out_e('created').as_('b').in_v().as_('c').in_('created').as_('d').where('a',P.lt('b').or_(P.gt('c')).and_(P.neq('d'))).by('age').by('weight').by(__.in_('created').age.min_()).select('a','c','d').by('name'))], 'g_VX1X_asXaX_out_hasXageX_whereXgtXaXX_byXageX_name': [(lambda g, vid1=None:g.V(vid1).as_('a').out().has('age').where(P.gt('a')).by('age').name)], 'g_VX3X_asXaX_in_out_asXbX_whereXa_eqXbXX_byXageX_name': [(lambda g, vid3=None:g.V(vid3).as_('a').in_().out().as_('b').where('a',P.eq('b')).by('age').name)], - 'g_withStrategiesXProductiveByStrategyX_VX3X_asXaX_in_out_asXbX_whereXa_eqXbXX_byXageX_name': [(lambda g, vid3=None:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V(vid3).as_('a').in_().out().as_('b').where('a',P.eq('b')).by('age').name)], - 'g_V_asXnX_whereXorXhasLabelXsoftwareX_hasLabelXpersonXXX_selectXnX_byXnameX': [(lambda g:g.V().as_('n').where(__.or_(__.hasLabel('software'),__.hasLabel('person'))).select('n').by('name'))], - 'g_V_asXnX_whereXorXselectXnX_hasLabelXsoftwareX_selectXnX_hasLabelXpersonXXX_selectXnX_byXnameX': [(lambda g:g.V().as_('n').where(__.or_(__.select('n').hasLabel('software'),__.select('n').hasLabel('person'))).select('n').by('name'))], - 'g_V_hasLabelXpersonX_asXxX_whereXinEXknowsX_count_isXgteX1XXX_selectXxX': [(lambda g:g.V().hasLabel('person').as_('x').where(__.inE('knows').count().is_(P.gte(1))).select('x'))], - 'g_V_coworker': [(lambda g, xx1=None:g.V().hasLabel('person').filter_(__.outE('created')).aggregate('p').as_('p1').name.as_('p1n').select('p').unfold().where(P.neq('p1')).as_('p2').name.as_('p2n').select('p2').out('created').choose(__.in_('created').where(P.eq('p1')),__.name,__.constant(xx1)).group().by(__.select('p1n')).by(__.group().by(__.select('p2n')).by(__.unfold().fold().project('numCoCreated','coCreated').by(__.count(Scope.local)).by())).unfold())], - 'g_V_coworker_with_midV': [(lambda g:g.V().hasLabel('person').filter_(__.outE('created')).as_('p1').V().hasLabel('person').where(P.neq('p1')).filter_(__.outE('created')).as_('p2').map(__.out('created').where(__.in_('created').as_('p1')).name.fold()).group().by(__.select('p1').by('name')).by(__.group().by(__.select('p2').by('name')).by(__.project('numCoCreated','coCreated').by(__.count(Scope.local)).by())).unfold())], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_name': [(lambda g:g.addV('person').property('_partition','a').property('name','alice').addV('person').property('_partition','b').property('name','bob')), (lambda g:g.withStrategies(*[TraversalStrategy('PartitionStrategy',{'includeMetaProperties':False,'partitionKey':'_partition','readPartitions':set(('a')),'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy','writePartition':'a'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy')]).V().name)], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_name': [(lambda g:g.addV('person').property('_partition','a').property('name','alice').addV('person').property('_partition','b').property('name','bob')), (lambda g:g.withStrategies(*[TraversalStrategy('PartitionStrategy',{'includeMetaProperties':False,'partitionKey':'_partition','readPartitions':set(('a','b')),'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy','writePartition':'a'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy')]).V().name)], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_cXX_V_name': [(lambda g:g.addV('person').property('_partition','a').property('name','alice').addV('person').property('_partition','b').property('name','bob')), (lambda g:g.withStrategies(*[TraversalStrategy('PartitionStrategy',{'includeMetaProperties':False,'partitionKey':'_partition','readPartitions':set(('c')),'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy','writePartition':'a'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy')]).V().name)], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_bothE_weight': [(lambda g:g.addV('person').property('_partition','a').property('name','alice').as_('a').addV('person').property('_partition','b').property('name','bob').as_('b').addE('knows').from_('a').to('b').property('_partition','a').property('weight',float(1.0)).addE('knows').from_('b').to('a').property('_partition','b').property('weight',float(2.0))), (lambda g:g.withStrategies(*[TraversalStrategy('PartitionStrategy',{'includeMetaProperties':False,'partitionKey':'_partition','readPartitions':set(('a')),'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy','writePartition':'a'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy')]).V().bothE().weight)], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_bXX_V_bothE_weight': [(lambda g:g.addV('person').property('_partition','a').property('name','alice').as_('a').addV('person').property('_partition','b').property('name','bob').as_('b').addE('knows').from_('a').to('b').property('_partition','a').property('weight',float(1.0)).addE('knows').from_('b').to('a').property('_partition','b').property('weight',float(2.0))), (lambda g:g.withStrategies(*[TraversalStrategy('PartitionStrategy',{'includeMetaProperties':False,'partitionKey':'_partition','readPartitions':set(('b')),'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy','writePartition':'a'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.PartitionStrategy')]).V().bothE().weight)], - 'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_bothE_dedup_weight': [(lambda 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(lambda g, v6=None,v1=None:g.E()), (lambda g, v6=None,v1=None:g.V(v1).bothE()), (lambda g, v6=None,v1=None:g.V(v1).inE('knows')), (lambda g, v6=None,v1=None:g.V(v1).outE('knows')), (lambda g, v6=None,v1=None:g.V(v1).bothE('knows').has('weight',float(0.5))), (lambda g, v6=None,v1=None:g.V(v6).bothE()), (lambda g, v6=None,v1=None:g.V(v6).inE('knows')), (lambda g, v6=None,v1=None:g.V(v6).outE('knows')), (lambda g, v6=None,v1=None:g.V(v6).bothE('knows').has('weight',float(0.5)))], - 'g_addV_asXfirstX_repeatXaddEXnextX_toXaddVX_inVX_timesX5X_addEXnextX_toXselectXfirstXX': [(lambda g:g.addV().as_('first').repeat(__.addE('next').to(__.addV()).in_v()).times(5).addE('next').to(__.select('first'))), (lambda g:g.V()), (lambda g:g.E()), (lambda g:g.E().hasLabel('next')), (lambda g:g.V()[0:1].bothE()), (lambda g:g.V()[0:1].inE()), (lambda g:g.V()[0:1].outE())], - 'g_V_hasXname_markoX_asXaX_outEXcreatedX_asXbX_inV_addEXselectXbX_labelX_toXaX': [(lambda g, v1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v1=None:g.V().has('name','marko').as_('a').outE('created').as_('b').in_v().addE(__.select('b').label()).to('a')), (lambda g, v1=None:g.E()), (lambda g, v1=None:g.V(v1).bothE()), (lambda g, v1=None:g.V(v1).inE('created')), (lambda g, v1=None:g.V(v1).in_('created').has('name','lop')), (lambda g, v1=None:g.V(v1).outE('created'))], - 'g_addEXV_outE_label_groupCount_orderXlocalX_byXvalues_descX_selectXkeysX_unfold_limitX1XX_fromXV_hasXname_vadasXX_toXV_hasXname_lopXX': [(lambda g, v2=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v2=None:g.addE(__.V().outE().label().groupCount().order(Scope.local).by(Column.values,Order.desc).select(Column.keys).unfold()[0:1]).from_(__.V().has('name','vadas')).to(__.V().has('name','lop'))), (lambda g, v2=None:g.E()), (lambda g, v2=None:g.V(v2).bothE()), (lambda g, v2=None:g.V(v2).inE('knows')), (lambda g, v2=None:g.V(v2).outE('created')), (lambda g, v2=None:g.V(v2).out('created').has('name','lop'))], - 'g_addEXknowsX_fromXaX_toXbX_propertyXweight_0_1X': [(lambda g, v6=None,xx1=None,v1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v6=None,xx1=None,v1=None:g.addE('knows').from_(v1).to(v6).property('weight',xx1)), (lambda g, v6=None,xx1=None,v1=None:g.E()), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).outE('knows')), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out('knows').has('name','peter'))], - 'g_VXaX_addEXknowsX_toXbX_propertyXweight_0_1X': [(lambda g, v6=None,xx1=None,v1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).addE('knows').to(v6).property('weight',xx1)), (lambda g, v6=None,xx1=None,v1=None:g.E()), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).outE('knows')), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out('knows').has('name','peter'))], - 'g_addEXknowsXpropertyXweight_nullXfromXV_hasXname_markoXX_toXV_hasXname_vadasXX': [(lambda g:g.addV('person').property('name','marko').property('age',29).addV('person').property('name','vadas').property('age',27)), (lambda g:g.addE('knows').property('weight',None).from_(__.V().has('name','marko')).to(__.V().has('name','vadas'))), (lambda g:g.E().has('knows','weight',None))], - 'g_VX1X_addVXanimalX_propertyXage_selectXaX_byXageXX_propertyXname_puppyX': [(lambda g, vid1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.V(vid1).as_('a').addV('animal').property('age',__.select('a').by('age')).property('name','puppy')), (lambda g, vid1=None:g.V().has('animal','age',29))], - 'g_V_addVXanimalX_propertyXage_0X': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().addV('animal').property('age',0)), (lambda g:g.V().has('animal','age',0))], - 'g_addVXpersonX_propertyXname_stephenX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.addV('person').property('name','stephen')), (lambda g:g.V().has('person','name','stephen'))], - 'g_V_hasLabelXpersonX_propertyXname_nullX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().hasLabel('person').property(Cardinality.single,'name',None)), (lambda g:g.V().properties('name'))], - 'g_addVXpersonX_propertyXsingle_name_stephenX_propertyXsingle_name_stephenmX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.addV('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm')), (lambda g:g.V().has('person','name','stephen')), (lambda g:g.V().has('person','name','stephenm'))], - 'get_g_addVXpersonX_propertyXsingle_name_stephenX_propertyXsingle_name_stephenm_since_2010X': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.addV('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm','since',2010)), (lambda g:g.V().has('person','name','stephen')), (lambda g:g.V().has('person','name','stephenm')), (lambda g:g.V().has('person','name','stephenm').properties('name').has('since',2010))], - 'g_V_hasXname_markoX_propertyXfriendWeight_outEXknowsX_weight_sum__acl_privateX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().has('name','marko').property('friendWeight',__.outE('knows').weight.sum_(),'acl','private')), (lambda g:g.V().has('person','name','marko').has('friendWeight',float(1.5))), (lambda g:g.V().has('person','name','marko').properties('friendWeight').has('acl','private')), (lambda g:g.V().has('person','name','marko').properties('friendWeight').count())], - 'g_addVXanimalX_propertyXname_mateoX_propertyXname_gateoX_propertyXname_cateoX_propertyXage_5X': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.addV('animal').property('name','mateo').property('name','gateo').property('name','cateo').property('age',5)), (lambda g:g.V().hasLabel('animal').has('name','mateo').has('name','gateo').has('name','cateo').has('age',5))], - 'g_withSideEffectXa_markoX_addV_propertyXname_selectXaXX_name': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.withSideEffect('a','marko').addV().property('name',__.select('a')).name), (lambda g:g.V().has('name','marko'))], - 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g:g.addV('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm','since',2010)), (lambda g:g.V().has('name','stephen')), (lambda g:g.V().has('name','stephenm')), (lambda g:g.V().has('name','stephenm').properties('name').has('since',2010))], - 'g_V_addVXanimalX_propertyXname_valuesXnameXX_propertyXname_an_animalX_propertyXvaluesXnameX_labelX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().addV('animal').property('name',__.name).property('name','an animal').property(__.name,__.label())), (lambda g:g.V().hasLabel('animal').has('name','marko').has('name','an animal').has('marko','person')), (lambda g:g.V().hasLabel('animal').has('name','vadas').has('name','an animal').has('vadas','person')), (lambda g:g.V().hasLabel('animal').has('name','lop').has('name','an animal').has('lop','software')), (lambda g:g.V().hasLabel('animal').has('name','josh').has('name','an animal').has('josh','person')), (lambda g:g.V().hasLabel('animal').has('name','ripple').has('name','an animal').has('ripple','software')), (lambda g:g.V().hasLabel('animal').has('name','peter').has('name','an animal').has('peter','person'))], - 'g_withSideEffectXa_testX_V_hasLabelXsoftwareX_propertyXtemp_selectXaXX_valueMapXname_tempX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.withSideEffect('a','test').V().hasLabel('software').property('temp',__.select('a')).valueMap('name','temp'))], - 'g_withSideEffectXa_nameX_addV_propertyXselectXaX_markoX_name': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.withSideEffect('a','name').addV().property(__.select('a'),'marko').name), (lambda g:g.V().has('name','marko'))], - 'g_V_asXaX_hasXname_markoX_outXcreatedX_asXbX_addVXselectXaX_labelX_propertyXtest_selectXbX_labelX_valueMap_withXtokensX': [(lambda g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda 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g:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.addV(__.V().has('name','marko').properties('name').key()).label())], - 'g_addV_propertyXlabel_personX': [(lambda g:g.addV().property(T.label,'person')), (lambda g:g.V().hasLabel('person'))], - 'g_addV_propertyXmapX': [(lambda g:g.addV().property('name','foo').property('age',42)), (lambda g:g.V().has('name','foo'))], - 'g_addV_propertyXsingle_mapX': [(lambda g:g.addV().property(Cardinality.single,'name','foo').property(Cardinality.single,'age',42)), (lambda g:g.V().has('name','foo'))], - 'g_V_hasXname_fooX_propertyXname_setXbarX_age_43X': [(lambda g:g.addV().property(Cardinality.single,'name','foo').property('age',42)), (lambda g:g.V().has('name','foo').property(Cardinality.set_,'name','bar').property('age',43)), (lambda g:g.V().has('name','foo')), (lambda g:g.V().has('name','bar')), (lambda g:g.V().has('age',43)), (lambda g:g.V().has('age',42))], - 'g_V_hasXname_fooX_propertyXset_name_bar_age_singleX43XX': [(lambda g:g.addV().property(Cardinality.single,'name','foo').property('age',42)), (lambda 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g:g.addV('person').property('name','marko').property('friendWeight',None,'acl',None)), (lambda g:g.V().has('person','name','marko').has('friendWeight',None)), (lambda g:g.V().has('person','name','marko').properties('friendWeight').has('acl',None)), (lambda g:g.V().has('person','name','marko').properties('friendWeight').count())], - 'g_V_hasXperson_name_aliceX_propertyXsingle_age_unionXage_constantX1XX_sumX': [(lambda g:g.addV('person').property('name','alice').property(Cardinality.single,'age',50)), (lambda g:g.V().has('person','name','alice').property('age',__.union(__.age,__.constant(1)).sum_())), (lambda g:g.V().has('person','age',50)), (lambda g:g.V().has('person','age',51))], - 'g_V_limitX3X_addVXsoftwareX_aggregateXa1X_byXlabelX_aggregateXa2X_byXlabelX_capXa1_a2X_selectXa_bX_byXunfoldX_foldX': [(lambda 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'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_bothE': [(lambda g, vid4=None:g.with_strategies(*[TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':True,'vertices':__.has('name',P.within(['josh','lop','ripple']))}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy')]).V(vid4).both_e())], + 'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_localXbothE_limitX1XX': [(lambda g, vid4=None:g.with_strategies(*[TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':True,'vertices':__.has('name',P.within(['josh','lop','ripple']))}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy')]).V(vid4).local(__.both_e()[0:1]))], + 'g_withStrategiesXSubgraphStrategyXsubgraphAXX_EX11X_bothV': [(lambda g, eid11=None:g.with_strategies(*[TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':True,'vertices':__.has('name',P.within(['josh','lop','ripple']))}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy')]).E(eid11).both_v())], + 'g_withStrategiesXSubgraphStrategyXsubgraphAXX_EX12X_bothV': [(lambda g, eid12=None:g.with_strategies(*[TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':True,'vertices':__.has('name',P.within(['josh','lop','ripple']))}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy')]).E(eid12).both_v())], + 'g_withStrategiesXSubgraphStrategyXsubgraphBXX_V': [(lambda g:g.with_strategies(*[TraversalStrategy('SubgraphStrategy',{'checkAdjacentVertices':True,'edges':__.or_(__.has('weight',float(1.0)).has_label('knows'),__.has('weight',float(0.4)).has_label('created').out_v().has('name','marko'),__.has('weight',float(1.0)).has_label('created'))}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SubgraphStrategy')]).V())], + 'g_withStrategiesXSubgraphStrategyXsubgraphBXX_E': [(lambda 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vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V().aggregate('x').as_('a').select('x').unfold().add_e('existsWith').to('a').property('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.E()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).both_e('existsWith').has('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).both_e('existsWith').has('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).both_e('existsWith').has('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).both_e('existsWith').has('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).both_e('existsWith').has('time','now')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).in_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).out_e('existsWith')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).both_e('existsWith').has('time','now'))], + 'g_V_asXaX_outXcreatedX_inXcreatedX_whereXneqXaXX_asXbX_addEXcodeveloperX_fromXaX_toXbX_propertyXyear_2009X': [(lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V().as_('a').out('created').in_('created').where(P.neq('a')).as_('b').add_e('codeveloper').from_('a').to('b').property('year',2009)), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.E()), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid1).both_e()), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid1).in_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid1).out_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid1).both_e('codeveloper').has('year',2009)), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid2).both_e()), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid4).both_e()), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid4).in_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid4).out_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid4).both_e('codeveloper').has('year',2009)), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid6).both_e()), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid6).in_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid6).out_e('codeveloper')), (lambda g, vid1=None,vid2=None,vid4=None,vid6=None:g.V(vid6).both_e('codeveloper').has('year',2009))], + 'g_V_asXaX_inXcreatedX_addEXcreatedByX_fromXaX_propertyXyear_2009X_propertyXacl_publicX': [(lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V().as_('a').in_('created').add_e('createdBy').from_('a').property('year',2009).property('acl','public')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.E()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).in_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).out_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).both_e('createdBy').has('year',2009).has('acl','public')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).in_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).out_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).both_e('createdBy').has('year',2009).has('acl','public')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).in_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).out_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).both_e('createdBy').has('year',2009).has('acl','public')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).in_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).out_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).both_e('createdBy').has('year',2009).has('acl','public')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).both_e()), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).in_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).out_e('createdBy')), (lambda g, vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).both_e('createdBy').has('year',2009).has('acl','public'))], + 'g_withSideEffectXb_bX_VXaX_addEXknowsX_toXbX_propertyXweight_0_5X': [(lambda g, v6=None,v1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v6=None,v1=None:g.with_side_effect('b',v6).V(v1).add_e('knows').to('b').property('weight',float(0.5))), (lambda g, v6=None,v1=None:g.E()), (lambda g, v6=None,v1=None:g.V(v1).both_e()), (lambda g, v6=None,v1=None:g.V(v1).in_e('knows')), (lambda g, v6=None,v1=None:g.V(v1).out_e('knows')), (lambda g, v6=None,v1=None:g.V(v1).both_e('knows').has('weight',float(0.5))), (lambda g, v6=None,v1=None:g.V(v6).both_e()), (lambda g, v6=None,v1=None:g.V(v6).in_e('knows')), (lambda g, v6=None,v1=None:g.V(v6).out_e('knows')), (lambda g, v6=None,v1=None:g.V(v6).both_e('knows').has('weight',float(0.5)))], + 'g_addV_asXfirstX_repeatXaddEXnextX_toXaddVX_inVX_timesX5X_addEXnextX_toXselectXfirstXX': [(lambda g:g.add_v().as_('first').repeat(__.add_e('next').to(__.add_v()).in_v()).times(5).add_e('next').to(__.select('first'))), (lambda g:g.V()), (lambda g:g.E()), (lambda g:g.E().has_label('next')), (lambda g:g.V()[0:1].both_e()), (lambda g:g.V()[0:1].in_e()), (lambda g:g.V()[0:1].out_e())], + 'g_V_hasXname_markoX_asXaX_outEXcreatedX_asXbX_inV_addEXselectXbX_labelX_toXaX': [(lambda g, v1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v1=None:g.V().has('name','marko').as_('a').out_e('created').as_('b').in_v().add_e(__.select('b').label()).to('a')), (lambda g, v1=None:g.E()), (lambda g, v1=None:g.V(v1).both_e()), (lambda g, v1=None:g.V(v1).in_e('created')), (lambda g, v1=None:g.V(v1).in_('created').has('name','lop')), (lambda g, v1=None:g.V(v1).out_e('created'))], + 'g_addEXV_outE_label_groupCount_orderXlocalX_byXvalues_descX_selectXkeysX_unfold_limitX1XX_fromXV_hasXname_vadasXX_toXV_hasXname_lopXX': [(lambda g, v2=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v2=None:g.add_e(__.V().out_e().label().group_count().order(Scope.local).by(Column.values,Order.desc).select(Column.keys).unfold()[0:1]).from_(__.V().has('name','vadas')).to(__.V().has('name','lop'))), (lambda g, v2=None:g.E()), (lambda g, v2=None:g.V(v2).both_e()), (lambda g, v2=None:g.V(v2).in_e('knows')), (lambda g, v2=None:g.V(v2).out_e('created')), (lambda g, v2=None:g.V(v2).out('created').has('name','lop'))], + 'g_addEXknowsX_fromXaX_toXbX_propertyXweight_0_1X': [(lambda g, v6=None,xx1=None,v1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v6=None,xx1=None,v1=None:g.add_e('knows').from_(v1).to(v6).property('weight',xx1)), (lambda g, v6=None,xx1=None,v1=None:g.E()), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out_e('knows')), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out('knows').has('name','peter'))], + 'g_VXaX_addEXknowsX_toXbX_propertyXweight_0_1X': [(lambda g, v6=None,xx1=None,v1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).add_e('knows').to(v6).property('weight',xx1)), (lambda g, v6=None,xx1=None,v1=None:g.E()), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out_e('knows')), (lambda g, v6=None,xx1=None,v1=None:g.V(v1).out('knows').has('name','peter'))], + 'g_addEXknowsXpropertyXweight_nullXfromXV_hasXname_markoXX_toXV_hasXname_vadasXX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).add_v('person').property('name','vadas').property('age',27)), (lambda g:g.add_e('knows').property('weight',None).from_(__.V().has('name','marko')).to(__.V().has('name','vadas'))), (lambda g:g.E().has('knows','weight',None))], + 'g_VX1X_addVXanimalX_propertyXage_selectXaX_byXageXX_propertyXname_puppyX': [(lambda g, vid1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.V(vid1).as_('a').add_v('animal').property('age',__.select('a').by('age')).property('name','puppy')), (lambda g, vid1=None:g.V().has('animal','age',29))], + 'g_V_addVXanimalX_propertyXage_0X': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().add_v('animal').property('age',0)), (lambda g:g.V().has('animal','age',0))], + 'g_addVXpersonX_propertyXname_stephenX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v('person').property('name','stephen')), (lambda g:g.V().has('person','name','stephen'))], + 'g_V_hasLabelXpersonX_propertyXname_nullX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().has_label('person').property(Cardinality.single,'name',None)), (lambda g:g.V().properties('name'))], + 'g_addVXpersonX_propertyXsingle_name_stephenX_propertyXsingle_name_stephenmX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm')), (lambda g:g.V().has('person','name','stephen')), (lambda g:g.V().has('person','name','stephenm'))], + 'get_g_addVXpersonX_propertyXsingle_name_stephenX_propertyXsingle_name_stephenm_since_2010X': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm','since',2010)), (lambda g:g.V().has('person','name','stephen')), (lambda g:g.V().has('person','name','stephenm')), (lambda g:g.V().has('person','name','stephenm').properties('name').has('since',2010))], + 'g_V_hasXname_markoX_propertyXfriendWeight_outEXknowsX_weight_sum__acl_privateX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().has('name','marko').property('friendWeight',__.out_e('knows').weight.sum_(),'acl','private')), (lambda g:g.V().has('person','name','marko').has('friendWeight',float(1.5))), (lambda g:g.V().has('person','name','marko').properties('friendWeight').has('acl','private')), (lambda g:g.V().has('person','name','marko').properties('friendWeight').count())], + 'g_addVXanimalX_propertyXname_mateoX_propertyXname_gateoX_propertyXname_cateoX_propertyXage_5X': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v('animal').property('name','mateo').property('name','gateo').property('name','cateo').property('age',5)), (lambda g:g.V().has_label('animal').has('name','mateo').has('name','gateo').has('name','cateo').has('age',5))], + 'g_withSideEffectXa_markoX_addV_propertyXname_selectXaXX_name': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.with_side_effect('a','marko').add_v().property('name',__.select('a')).name), (lambda g:g.V().has('name','marko'))], + 'g_addVXpersonX_propertyXsingle_name_stephenX_propertyXsingle_name_stephenm_since_2010X': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v('person').property(Cardinality.single,'name','stephen').property(Cardinality.single,'name','stephenm','since',2010)), (lambda g:g.V().has('name','stephen')), (lambda g:g.V().has('name','stephenm')), (lambda g:g.V().has('name','stephenm').properties('name').has('since',2010))], + 'g_V_addVXanimalX_propertyXname_valuesXnameXX_propertyXname_an_animalX_propertyXvaluesXnameX_labelX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().add_v('animal').property('name',__.name).property('name','an animal').property(__.name,__.label())), (lambda g:g.V().has_label('animal').has('name','marko').has('name','an animal').has('marko','person')), (lambda g:g.V().has_label('animal').has('name','vadas').has('name','an animal').has('vadas','person')), (lambda g:g.V().has_label('animal').has('name','lop').has('name','an animal').has('lop','software')), (lambda g:g.V().has_label('animal').has('name','josh').has('name','an animal').has('josh','person')), (lambda g:g.V().has_label('animal').has('name','ripple').has('name','an animal').has('ripple','software')), (lambda g:g.V().has_label('animal').has('name','peter').has('name','an animal').has('peter','person'))], + 'g_withSideEffectXa_testX_V_hasLabelXsoftwareX_propertyXtemp_selectXaXX_valueMapXname_tempX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.with_side_effect('a','test').V().has_label('software').property('temp',__.select('a')).value_map('name','temp'))], + 'g_withSideEffectXa_nameX_addV_propertyXselectXaX_markoX_name': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.with_side_effect('a','name').add_v().property(__.select('a'),'marko').name), (lambda g:g.V().has('name','marko'))], + 'g_V_asXaX_hasXname_markoX_outXcreatedX_asXbX_addVXselectXaX_labelX_propertyXtest_selectXbX_labelX_valueMap_withXtokensX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().as_('a').has('name','marko').out('created').as_('b').add_v(__.select('a').label()).property('test',__.select('b').label()).value_map().with_('~tinkerpop.valueMap.tokens')), (lambda g:g.V().has('person','test','software'))], + 'g_addVXV_hasXname_markoX_propertiesXnameX_keyX_label': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.add_v(__.V().has('name','marko').properties('name').key()).label())], + 'g_addV_propertyXlabel_personX': [(lambda g:g.add_v().property(T.label,'person')), (lambda g:g.V().has_label('person'))], + 'g_addV_propertyXmapX': [(lambda g:g.add_v().property('name','foo').property('age',42)), (lambda g:g.V().has('name','foo'))], + 'g_addV_propertyXsingle_mapX': [(lambda g:g.add_v().property(Cardinality.single,'name','foo').property(Cardinality.single,'age',42)), (lambda g:g.V().has('name','foo'))], + 'g_V_hasXname_fooX_propertyXname_setXbarX_age_43X': [(lambda g:g.add_v().property(Cardinality.single,'name','foo').property('age',42)), (lambda g:g.V().has('name','foo').property(Cardinality.set_,'name','bar').property('age',43)), (lambda g:g.V().has('name','foo')), (lambda g:g.V().has('name','bar')), (lambda g:g.V().has('age',43)), (lambda g:g.V().has('age',42))], + 'g_V_hasXname_fooX_propertyXset_name_bar_age_singleX43XX': [(lambda g:g.add_v().property(Cardinality.single,'name','foo').property('age',42)), (lambda g:g.V().has('name','foo').property(Cardinality.set_,'name','bar').property(Cardinality.single,'age',43)), (lambda g:g.V().has('name','foo')), (lambda g:g.V().has('name','bar')), (lambda g:g.V().has('age',43)), (lambda g:g.V().has('age',42))], + 'g_addV_propertyXnullX': [(lambda g:g.add_v('person')), (lambda g:g.V().has_label('person').values())], + 'g_addV_propertyXemptyX': [(lambda g:g.add_v('person')), (lambda g:g.V().has_label('person').values())], + 'g_addV_propertyXset_nullX': [(lambda g:g.add_v('foo')), (lambda g:g.V().has_label('foo').values())], + 'g_addV_propertyXset_emptyX': [(lambda g:g.add_v('foo')), (lambda g:g.V().has_label('person').values())], + 'g_addVXpersonX_propertyXname_joshX_propertyXage_nullX': [(lambda g:g.add_v('person').property('name','josh').property('age',None)), (lambda g:g.V().has('person','age',None))], + 'g_addVXpersonX_propertyXname_markoX_propertyXfriendWeight_null_acl_nullX': [(lambda g:g.add_v('person').property('name','marko').property('friendWeight',None,'acl',None)), (lambda g:g.V().has('person','name','marko').has('friendWeight',None)), (lambda g:g.V().has('person','name','marko').properties('friendWeight').has('acl',None)), (lambda g:g.V().has('person','name','marko').properties('friendWeight').count())], + 'g_V_hasXperson_name_aliceX_propertyXsingle_age_unionXage_constantX1XX_sumX': [(lambda g:g.add_v('person').property('name','alice').property(Cardinality.single,'age',50)), (lambda g:g.V().has('person','name','alice').property('age',__.union(__.age,__.constant(1)).sum_())), (lambda g:g.V().has('person','age',50)), (lambda g:g.V().has('person','age',51))], + 'g_V_limitX3X_addVXsoftwareX_aggregateXa1X_byXlabelX_aggregateXa2X_byXlabelX_capXa1_a2X_selectXa_bX_byXunfoldX_foldX': [(lambda g:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V()[0:3].add_v('software').aggregate('a1').by(T.label).aggregate('a2').by(T.label).cap('a1','a2').select('a1','a2').by(__.unfold().fold()))], 'g_injectXstrX_asDate': [(lambda g:g.inject('2023-08-02T00:00:00Z').as_date())], 'g_injectX1694017707000X_asDate': [(lambda g:g.inject(long(1694017707000)).as_date())], 'g_injectX1694017708000LX_asDate': [(lambda g, xx1=None:g.inject(xx1).as_date())], @@ -518,15 +518,15 @@ 'g_injectXlist_1_2X_asStringXlocalX': [(lambda g, xx1=None:g.inject(xx1).as_string(Scope.local))], 'g_injectX1_nullX_asString': [(lambda g, xx1=None:g.inject(None,xx1).as_string())], 'g_injectX1_nullX_asStringXlocalX': [(lambda g, xx1=None:g.inject(xx1).as_string(Scope.local))], - 'g_V_valueMapXnameX_asString': [(lambda g:g.V().valueMap('name').as_string())], - 'g_V_valueMapXnameX_order_fold_asStringXlocalX': [(lambda g:g.V().valueMap('name').order().fold().as_string(Scope.local))], + 'g_V_valueMapXnameX_asString': [(lambda g:g.V().value_map('name').as_string())], + 'g_V_valueMapXnameX_order_fold_asStringXlocalX': [(lambda g:g.V().value_map('name').order().fold().as_string(Scope.local))], 'g_V_asString': [(lambda g:g.V().as_string())], 'g_V_fold_asStringXlocalX_orderXlocalX': [(lambda g:g.V().fold().as_string(Scope.local).order(Scope.local))], 'g_E_asString': [(lambda g:g.E().as_string())], 'g_V_properties': [(lambda g:g.V().properties().as_string())], - 'g_V_hasLabelXpersonX_valuesXageX_asString': [(lambda g:g.V().hasLabel('person').age.as_string())], - 'g_V_hasLabelXpersonX_valuesXageX_order_fold_asStringXlocalX': [(lambda g:g.V().hasLabel('person').age.order().fold().as_string(Scope.local))], - 'g_V_hasLabelXpersonX_valuesXageX_asString_concatX_years_oldX': [(lambda g:g.V().hasLabel('person').age.as_string().concat(' years old'))], + 'g_V_hasLabelXpersonX_valuesXageX_asString': [(lambda g:g.V().has_label('person').age.as_string())], + 'g_V_hasLabelXpersonX_valuesXageX_order_fold_asStringXlocalX': [(lambda g:g.V().has_label('person').age.order().fold().as_string(Scope.local))], + 'g_V_hasLabelXpersonX_valuesXageX_asString_concatX_years_oldX': [(lambda g:g.V().has_label('person').age.as_string().concat(' years old'))], 'g_call': [(lambda g:g.call())], 'g_callXlistX': [(lambda g:g.call('--list'))], 'g_callXlistX_withXstring_stringX': [(lambda g:g.call('--list').with_('service','tinker.search'))], @@ -550,8 +550,8 @@ 'g_V_coalesceXoutXfooX_outXbarXX': [(lambda g:g.V().coalesce(__.out('foo'),__.out('bar')))], 'g_VX1X_coalesceXoutXknowsX_outXcreatedXX_valuesXnameX': [(lambda g, vid1=None:g.V(vid1).coalesce(__.out('knows'),__.out('created')).name)], 'g_VX1X_coalesceXoutXcreatedX_outXknowsXX_valuesXnameX': [(lambda g, vid1=None:g.V(vid1).coalesce(__.out('created'),__.out('knows')).name)], - 'g_V_coalesceXoutXlikesX_outXknowsX_inXcreatedXX_groupCount_byXnameX': [(lambda g:g.V().coalesce(__.out('likes'),__.out('knows'),__.out('created')).groupCount().by('name'))], - 'g_V_coalesceXoutEXknowsX_outEXcreatedXX_otherV_path_byXnameX_byXlabelX': [(lambda g:g.V().coalesce(__.outE('knows'),__.outE('created')).otherV().path().by('name').by(T.label))], + 'g_V_coalesceXoutXlikesX_outXknowsX_inXcreatedXX_groupCount_byXnameX': [(lambda g:g.V().coalesce(__.out('likes'),__.out('knows'),__.out('created')).group_count().by('name'))], + 'g_V_coalesceXoutEXknowsX_outEXcreatedXX_otherV_path_byXnameX_byXlabelX': [(lambda g:g.V().coalesce(__.out_e('knows'),__.out_e('created')).other_v().path().by('name').by(T.label))], 'g_V_outXcreatedX_order_byXnameX_coalesceXname_constantXxXX': [(lambda g:g.V().out('created').order().by('name').coalesce(__.name,__.constant('x')))], 'g_injectXnullX_combineXinjectX1XX': [(lambda g:g.inject(None).combine(__.inject(1)))], 'g_V_valuesXnameX_combineXV_foldX': [(lambda g:g.V().name.combine(__.V().fold()))], @@ -564,7 +564,7 @@ 'g_V_valuesXageX_order_byXdescX_fold_combineXV_valuesXageX_order_byXdescX_foldX': [(lambda g:g.V().age.order().by(Order.desc).fold().combine(__.V().age.order().by(Order.desc).fold()))], 'g_V_out_path_byXvaluesXnameX_toUpperX_combineXMARKOX': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).combine(xx1))], 'g_injectXxx1X_combineXV_valuesXnameX_foldX_unfold': [(lambda g, xx1=None:g.inject(xx1).combine(__.V().name.fold()).unfold())], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_combineXseattle_vancouverX_orderXlocalX': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().combine(xx1).order(Scope.local))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_combineXseattle_vancouverX_orderXlocalX': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().combine(xx1).order(Scope.local))], 'g_V_out_out_path_byXnameX_combineXempty_listX': [(lambda g, xx1=None:g.V().out().out().path().by('name').combine(xx1))], 'g_V_valuesXageX_order_fold_combineXconstantX27X_foldX': [(lambda g:g.V().age.order().fold().combine(__.constant(27).fold()))], 'g_V_out_out_path_byXnameX_combineXdave_kelvinX': [(lambda g, xx1=None:g.V().out().out().path().by('name').combine(xx1))], @@ -580,12 +580,12 @@ 'g_injectXnullX_concat_XinjectX': [(lambda g:g.inject(None).concat())], 'g_injectXnull_aX_concat_Xnull_bX': [(lambda g:g.inject(None,'a').concat(None,'b'))], 'g_injectXhello_hiX_concat_XV_valuesXnameXX': [(lambda g:g.inject('hello','hi').concat(__.V().order().by(T.id_).name))], - 'g_V_hasLabel_value_concat_X_X_concat_XpersonX': [(lambda g:g.V().hasLabel('person').name.concat(' ').concat('person'))], - 'g_hasLabelXpersonX_valuesXnameX_asXaX_constantXMrX_concatXselectXaX': [(lambda g:g.V().hasLabel('person').name.as_('a').constant('Mr.').concat(__.select('a')))], - 'g_hasLabelXsoftwareX_asXaX_valuesXnameX_concatXunsesX_concatXselectXaXvaluesXlangX': [(lambda g:g.V().hasLabel('software').as_('a').name.concat(' uses ').concat(__.select('a').lang))], - 'g_VX1X_outE_asXaX_VX1X_valuesXnamesX_concatXselectXaX_labelX_concatXselectXaX_inV_valuesXnameXX': [(lambda g, vid1=None:g.V(vid1).outE().as_('a').V(vid1).name.concat(__.select('a').label()).concat(__.select('a').in_v().name))], - 'g_VX1X_outE_asXaX_VX1X_valuesXnamesX_concatXselectXaX_label_selectXaX_inV_valuesXnameXX': [(lambda g, vid1=None:g.V(vid1).outE().as_('a').V(vid1).name.concat(__.select('a').label(),__.select('a').in_v().name))], - 'g_addVXconstantXprefix_X_concatXVX1X_labelX_label': [(lambda g, vid1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.addV(__.constant('prefix_').concat(__.V(vid1).label())).label())], + 'g_V_hasLabel_value_concat_X_X_concat_XpersonX': [(lambda g:g.V().has_label('person').name.concat(' ').concat('person'))], + 'g_hasLabelXpersonX_valuesXnameX_asXaX_constantXMrX_concatXselectXaX': [(lambda g:g.V().has_label('person').name.as_('a').constant('Mr.').concat(__.select('a')))], + 'g_hasLabelXsoftwareX_asXaX_valuesXnameX_concatXunsesX_concatXselectXaXvaluesXlangX': [(lambda g:g.V().has_label('software').as_('a').name.concat(' uses ').concat(__.select('a').lang))], + 'g_VX1X_outE_asXaX_VX1X_valuesXnamesX_concatXselectXaX_labelX_concatXselectXaX_inV_valuesXnameXX': [(lambda g, vid1=None:g.V(vid1).out_e().as_('a').V(vid1).name.concat(__.select('a').label()).concat(__.select('a').in_v().name))], + 'g_VX1X_outE_asXaX_VX1X_valuesXnamesX_concatXselectXaX_label_selectXaX_inV_valuesXnameXX': [(lambda g, vid1=None:g.V(vid1).out_e().as_('a').V(vid1).name.concat(__.select('a').label(),__.select('a').in_v().name))], + 'g_addVXconstantXprefix_X_concatXVX1X_labelX_label': [(lambda g, vid1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid1=None:g.add_v(__.constant('prefix_').concat(__.V(vid1).label())).label())], 'g_injectXnullX_conjoinX1X': [(lambda g:g.inject(None).conjoin('1'))], 'g_V_valuesXnameX_conjoinX1X': [(lambda g:g.V().name.conjoin('1'))], 'g_V_valuesXnonexistantX_fold_conjoinX_X': [(lambda g:g.V().nonexistant.fold().conjoin(';'))], @@ -593,17 +593,17 @@ 'g_V_valuesXageX_order_fold_conjoinX_X': [(lambda g:g.V().age.order().fold().conjoin(';'))], 'g_V_out_path_byXvaluesXnameX_toUpperX_conjoinXMARKOX': [(lambda g:g.V().out().path().by(__.name.to_upper()).conjoin('MARKO'))], 'g_injectXmarkoX_conjoinX_X': [(lambda g, xx1=None:g.inject(xx1).conjoin('-'))], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_orderXlocalX_conjoinX1X': [(lambda g:g.V().valueMap('location').select(Column.values).unfold().order(Scope.local).conjoin('1'))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_orderXlocalX_conjoinX1X': [(lambda g:g.V().value_map('location').select(Column.values).unfold().order(Scope.local).conjoin('1'))], 'g_V_out_out_path_byXnameX_conjoinXX': [(lambda g:g.V().out().out().path().by('name').conjoin(''))], 'g_injectXa_null_bX_conjoinXxyzX': [(lambda g, xx1=None:g.inject(xx1).conjoin('xyz'))], 'g_injectX3_threeX_conjoinX_X': [(lambda g, xx1=None:g.inject(xx1).conjoin(';'))], - 'g_V_connectedComponent_hasXcomponentX': [(lambda g:g.V().connectedComponent().has('gremlin.connectedComponentVertexProgram.component'))], - 'g_V_dedup_connectedComponent_hasXcomponentX': [(lambda g:g.V().dedup().connectedComponent().has('gremlin.connectedComponentVertexProgram.component'))], - 'g_V_hasLabelXsoftwareX_connectedComponent_project_byXnameX_byXcomponentX': [(lambda g:g.V().hasLabel('software').connectedComponent().project('name','component').by('name').by('gremlin.connectedComponentVertexProgram.component'))], - 'g_V_connectedComponent_withXEDGES_bothEXknowsXX_withXPROPERTY_NAME_clusterX_project_byXnameX_byXclusterX': [(lambda g:g.V().hasLabel('person').connectedComponent().with_('~tinkerpop.connectedComponent.edges',__.bothE('knows')).with_('~tinkerpop.connectedComponent.propertyName','cluster').project('name','cluster').by('name').by('cluster'))], + 'g_V_connectedComponent_hasXcomponentX': [(lambda g:g.V().connected_component().has('gremlin.connectedComponentVertexProgram.component'))], + 'g_V_dedup_connectedComponent_hasXcomponentX': [(lambda g:g.V().dedup().connected_component().has('gremlin.connectedComponentVertexProgram.component'))], + 'g_V_hasLabelXsoftwareX_connectedComponent_project_byXnameX_byXcomponentX': [(lambda g:g.V().has_label('software').connected_component().project('name','component').by('name').by('gremlin.connectedComponentVertexProgram.component'))], + 'g_V_connectedComponent_withXEDGES_bothEXknowsXX_withXPROPERTY_NAME_clusterX_project_byXnameX_byXclusterX': [(lambda g:g.V().has_label('person').connected_component().with_('~tinkerpop.connectedComponent.edges',__.both_e('knows')).with_('~tinkerpop.connectedComponent.propertyName','cluster').project('name','cluster').by('name').by('cluster'))], 'g_V_constantX123X': [(lambda g:g.V().constant(123))], 'g_V_constantXnullX': [(lambda g:g.V().constant(None))], - 'g_V_chooseXhasLabelXpersonX_valuesXnameX_constantXinhumanXX': [(lambda g:g.V().choose(__.hasLabel('person'),__.name,__.constant('inhuman')))], + 'g_V_chooseXhasLabelXpersonX_valuesXnameX_constantXinhumanXX': [(lambda g:g.V().choose(__.has_label('person'),__.name,__.constant('inhuman')))], 'g_V_count': [(lambda g:g.V().count())], 'g_V_out_count': [(lambda g:g.V().out().count())], 'g_V_both_both_count': [(lambda g:g.V().both().both().count())], @@ -639,7 +639,7 @@ 'g_V_valuesXageX_fold_differenceXV_valuesXageX_foldX': [(lambda g:g.V().age.fold().difference(__.V().age.fold()))], 'g_V_out_path_byXvaluesXnameX_toUpperX_differenceXMARKOX': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).difference(xx1))], 'g_injectXmarkoX_differenceXV_valuesXnameX_foldX': [(lambda g, xx1=None:g.inject(xx1).difference(__.V().name.fold()))], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_differenceXseattle_vancouverX': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().difference(xx1))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_differenceXseattle_vancouverX': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().difference(xx1))], 'g_V_out_out_path_byXnameX_differenceXrippleX': [(lambda g, xx1=None:g.V().out().out().path().by('name').difference(xx1))], 'g_V_out_out_path_byXnameX_differenceXempty_listX': [(lambda g, xx1=None:g.V().out().out().path().by('name').difference(xx1))], 'g_V_valuesXageX_fold_differenceXconstantX27X_foldX': [(lambda g:g.V().age.fold().difference(__.constant(27).fold()))], @@ -657,7 +657,7 @@ 'g_V_valuesXnameX_fold_disjunctXV_valuesXnonexistantX_foldX': [(lambda g:g.V().name.fold().disjunct(__.V().nonexistant.fold()))], 'g_V_valuesXageX_fold_disjunctXV_valuesXageX_foldX': [(lambda g:g.V().age.fold().disjunct(__.V().age.fold()))], 'g_V_out_path_byXvaluesXnameX_toUpperX_disjunctXMARKOX': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).disjunct(xx1))], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_disjunctXseattle_vancouverX': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().disjunct(xx1))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_disjunctXseattle_vancouverX': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().disjunct(xx1))], 'g_V_out_out_path_byXnameX_disjunctXmarkoX': [(lambda g, xx1=None:g.V().out().out().path().by('name').disjunct(xx1))], 'g_V_out_out_path_byXnameX_disjunctXstephen_markoX': [(lambda g, xx1=None:g.V().out().out().path().by('name').disjunct(xx1))], 'g_V_out_out_path_byXnameX_disjunctXdave_kelvinX': [(lambda g, xx1=None:g.V().out().out().path().by('name').disjunct(xx1))], @@ -669,7 +669,7 @@ 'g_V_EXnullX': [(lambda g:g.V().E(None))], 'g_V_EXlistXnullXX': [(lambda g, xx1=None:g.V().E(xx1))], 'g_injectX1X_EX11_nullX': [(lambda g, eid11=None:g.inject(1).E(eid11,None))], - 'g_injectX1X_coalesceXEX_hasLabelXtestsX_addEXtestsX_from_V_hasXnameX_XjoshXX_toXV_hasXnameX_XvadasXXX': [(lambda g:g.addV('person').property('name','josh').addV('person').property('name','vadas')), (lambda g:g.inject(1).coalesce(__.E().hasLabel('tests'),__.addE('tests').from_(__.V().has('name','josh')).to(__.V().has('name','vadas')))), (lambda g:g.E().hasLabel('tests'))], + 'g_injectX1X_coalesceXEX_hasLabelXtestsX_addEXtestsX_from_V_hasXnameX_XjoshXX_toXV_hasXnameX_XvadasXXX': [(lambda g:g.add_v('person').property('name','josh').add_v('person').property('name','vadas')), (lambda g:g.inject(1).coalesce(__.E().has_label('tests'),__.add_e('tests').from_(__.V().has('name','josh')).to(__.V().has('name','vadas')))), (lambda g:g.E().has_label('tests'))], 'g_VX1X_properties_element': [(lambda g, v2=None:g.V(v2).properties().element()[0:1])], 'g_V_properties_element': [(lambda g:g.V().properties().element())], 'g_V_propertiesXageX_element': [(lambda g:g.V().properties('age').element())], @@ -677,35 +677,35 @@ 'g_E_properties_element': [(lambda g:g.E().properties().element())], 'g_VXv7_properties_properties_element_element': [(lambda g, v7=None:g.V(v7).properties().properties().element().element()[0:1])], 'g_V_properties_properties_element_element': [(lambda g, v7=None:g.V(v7).properties().properties().element().element())], - 'g_V_elementMap': [(lambda g:g.V().elementMap())], - 'g_V_elementMapXname_ageX': [(lambda g:g.V().elementMap('name','age'))], - 'g_EX11X_elementMap': [(lambda g, eid11=None:g.E(eid11).elementMap())], - 'g_V_elementMapXname_age_nullX': [(lambda g:g.V().elementMap('name','age',None))], - 'g_V_asXaX_flatMapXselectXaXX': [(lambda g:g.V().as_('a').flatMap(__.select('a')))], + 'g_V_elementMap': [(lambda g:g.V().element_map())], + 'g_V_elementMapXname_ageX': [(lambda g:g.V().element_map('name','age'))], + 'g_EX11X_elementMap': [(lambda g, eid11=None:g.E(eid11).element_map())], + 'g_V_elementMapXname_age_nullX': [(lambda g:g.V().element_map('name','age',None))], + 'g_V_asXaX_flatMapXselectXaXX': [(lambda g:g.V().as_('a').flat_map(__.select('a')))], 'g_V_fold': [(lambda g:g.V().fold())], 'g_V_fold_unfold': [(lambda g:g.V().fold().unfold())], 'g_V_age_foldX0_plusX': [(lambda g:g.V().age.fold(0,Operator.sum_))], - 'g_injectXa1_b2X_foldXm_addAllX': [(lambda g:g.inject({'a':1},{'b':2}).fold({},Operator.addAll))], - 'g_injectXa1_b2_b4X_foldXm_addAllX': [(lambda g:g.inject({'a':1},{'b':2},{'b':4}).fold({},Operator.addAll))], + 'g_injectXa1_b2X_foldXm_addAllX': [(lambda g:g.inject({'a':1},{'b':2}).fold({},Operator.add_all))], + 'g_injectXa1_b2_b4X_foldXm_addAllX': [(lambda g:g.inject({'a':1},{'b':2},{'b':4}).fold({},Operator.add_all))], 'g_VX1X_formatXstrX': [(lambda g:g.V().has('name','marko').format_('Hello world'))], 'g_V_formatXstrX': [(lambda g:g.V().format_('%{name} is %{age} years old'))], 'g_injectX1X_asXageX_V_formatXstrX': [(lambda g:g.inject(1).as_('age').V().format_('%{name} is %{age} years old'))], 'g_V_formatXstrX_byXvaluesXnameXX_byXvaluesXageXX': [(lambda g:g.V().format_('%{_} is %{_} years old').by(__.name).by(__.age))], - 'g_V_hasLabelXpersonX_formatXstrX_byXconstantXhelloXX_byXvaluesXnameXX': [(lambda g:g.V().hasLabel('person').format_('%{_} %{_} %{_}').by(__.constant('hello')).by(__.name))], + 'g_V_hasLabelXpersonX_formatXstrX_byXconstantXhelloXX_byXvaluesXnameXX': [(lambda g:g.V().has_label('person').format_('%{_} %{_} %{_}').by(__.constant('hello')).by(__.name))], 'g_VX1X_formatXstrX_byXconstantXhelloXX_byXvaluesXnameXX': [(lambda g, vid1=None:g.V(vid1).format_('%{_}').by(__.constant('hello')).by(__.name))], - 'g_V_formatXstrX_byXbothE_countX': [(lambda g:g.V().format_('%{name} has %{_} connections').by(__.bothE().count()))], - 'g_V_projectXname_countX_byXvaluesXnameXX_byXbothE_countX_formatXstrX': [(lambda g:g.V().project('name','count').by(__.name).by(__.bothE().count()).format_('%{name} has %{count} connections'))], - 'g_V_elementMap_formatXstrX': [(lambda g:g.V().elementMap().format_('%{name} is %{age} years old'))], - 'g_V_hasLabelXpersonX_asXaX_valuesXnameX_asXp1X_selectXaX_inXknowsX_formatXstrX': [(lambda g:g.V().hasLabel('person').as_('a').name.as_('p1').select('a').in_('knows').format_('%{p1} knows %{name}'))], - 'g_V_asXsX_label_asXsubjectX_selectXsX_outE_asXpX_label_asXpredicateX_selectXpX_inV_label_asXobjectX_formatXstrX': [(lambda g:g.V().as_('s').label().as_('subject').select('s').outE().as_('p').label().as_('predicate').select('p').in_v().label().as_('object').format_('%{subject} %{predicate} %{object}'))], + 'g_V_formatXstrX_byXbothE_countX': [(lambda g:g.V().format_('%{name} has %{_} connections').by(__.both_e().count()))], + 'g_V_projectXname_countX_byXvaluesXnameXX_byXbothE_countX_formatXstrX': [(lambda g:g.V().project('name','count').by(__.name).by(__.both_e().count()).format_('%{name} has %{count} connections'))], + 'g_V_elementMap_formatXstrX': [(lambda g:g.V().element_map().format_('%{name} is %{age} years old'))], + 'g_V_hasLabelXpersonX_asXaX_valuesXnameX_asXp1X_selectXaX_inXknowsX_formatXstrX': [(lambda g:g.V().has_label('person').as_('a').name.as_('p1').select('a').in_('knows').format_('%{p1} knows %{name}'))], + 'g_V_asXsX_label_asXsubjectX_selectXsX_outE_asXpX_label_asXpredicateX_selectXpX_inV_label_asXobjectX_formatXstrX': [(lambda g:g.V().as_('s').label().as_('subject').select('s').out_e().as_('p').label().as_('predicate').select('p').in_v().label().as_('object').format_('%{subject} %{predicate} %{object}'))], 'g_VX1X_V_valuesXnameX': [(lambda g, vid1=None:g.V(vid1).V().name)], 'g_V_outXknowsX_V_name': [(lambda g:g.V().out('knows').V().name)], 'g_V_hasXname_GarciaX_inXsungByX_asXsongX_V_hasXname_Willie_DixonX_inXwrittenByX_whereXeqXsongXX_name': [(lambda g:g.V().has('artist','name','Garcia').in_('sungBy').as_('song').V().has('artist','name','Willie_Dixon').in_('writtenBy').where(P.eq('song')).name)], - 'g_V_hasLabelXpersonX_asXpX_VXsoftwareX_addInEXuses_pX': [(lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V().hasLabel('person').as_('p').V(xx1).addE('uses').from_('p')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.E().hasLabel('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).outE('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).outE('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).inE('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).outE('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).inE('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).outE('uses'))], - 'g_V_hasLabelXsoftwareX_index_unfold': [(lambda g:g.V().hasLabel('software').index().unfold())], - 'g_V_hasLabelXsoftwareX_order_byXnameX_index_withXmapX': [(lambda g:g.V().hasLabel('software').order().by('name').index().with_('~tinkerpop.index.indexer',1))], - 'g_V_hasLabelXsoftwareX_name_fold_orderXlocalX_index_unfold_order_byXtailXlocal_1XX': [(lambda g:g.V().hasLabel('software').name.fold().order(Scope.local).index().unfold().order().by(__.tail(Scope.local,1)))], - 'g_V_hasLabelXpersonX_name_fold_orderXlocalX_index_withXmapX': [(lambda g:g.V().hasLabel('person').name.fold().order(Scope.local).index().with_('~tinkerpop.index.indexer',1))], + 'g_V_hasLabelXpersonX_asXpX_VXsoftwareX_addInEXuses_pX': [(lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V().has_label('person').as_('p').V(xx1).add_e('uses').from_('p')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.E().has_label('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid1).out_e('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid2).out_e('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid3).in_e('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid4).out_e('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid5).in_e('uses')), (lambda g, xx1=None,vid1=None,vid2=None,vid3=None,vid4=None,vid5=None,vid6=None:g.V(vid6).out_e('uses'))], + 'g_V_hasLabelXsoftwareX_index_unfold': [(lambda g:g.V().has_label('software').index().unfold())], + 'g_V_hasLabelXsoftwareX_order_byXnameX_index_withXmapX': [(lambda g:g.V().has_label('software').order().by('name').index().with_('~tinkerpop.index.indexer',1))], + 'g_V_hasLabelXsoftwareX_name_fold_orderXlocalX_index_unfold_order_byXtailXlocal_1XX': [(lambda g:g.V().has_label('software').name.fold().order(Scope.local).index().unfold().order().by(__.tail(Scope.local,1)))], + 'g_V_hasLabelXpersonX_name_fold_orderXlocalX_index_withXmapX': [(lambda g:g.V().has_label('person').name.fold().order(Scope.local).index().with_('~tinkerpop.index.indexer',1))], 'g_VX1X_valuesXageX_index_unfold_unfold': [(lambda g, vid1=None:g.V(vid1).age.index().unfold().unfold())], 'g_injectXnullX_intersectXinjectX1XX': [(lambda g:g.inject(None).intersect(__.inject(1)))], 'g_V_valuesXnameX_intersectXV_foldX': [(lambda g:g.V().name.intersect(__.V().fold()))], @@ -718,37 +718,37 @@ 'g_V_valuesXageX_fold_intersectXV_valuesXageX_foldX_order_local': [(lambda g:g.V().age.fold().intersect(__.V().age.fold()).order(Scope.local))], 'g_V_out_path_byXvaluesXnameX_toUpperX_intersectXMARKOX': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).intersect(xx1))], 'g_injectXmarkoX_intersectX___V_valuesXnameX_foldX': [(lambda g, xx1=None:g.inject(xx1).intersect(__.V().name.fold()))], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_intersectXseattle_vancouverX': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().intersect(xx1))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_intersectXseattle_vancouverX': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().intersect(xx1))], 'g_V_valuesXageX_fold_intersectX___constantX27X_foldX': [(lambda g:g.V().age.fold().intersect(__.constant(27).fold()))], 'g_V_out_out_path_byXnameX_intersectXdave_kelvinX': [(lambda g, xx1=None:g.V().out().out().path().by('name').intersect(xx1))], 'g_injectXa_null_bX_intersectXa_cX': [(lambda g, xx1=None,xx2=None:g.inject(xx1).intersect(xx2))], 'g_injectXa_null_bX_intersectXa_null_cX': [(lambda g, xx1=None,xx2=None:g.inject(xx1).intersect(xx2))], 'g_injectX3_threeX_intersectXfive_three_7X': [(lambda g, xx1=None,xx2=None:g.inject(xx1).intersect(xx2))], - 'g_injectX__feature___test__nullX_lTrim': [(lambda g:g.inject(' feature',' one test',None,'',' ','　abc','abc　','　abc　','　　').lTrim())], - 'g_injectX__feature___test__nullX_lTrimXlocalX': [(lambda g:g.inject([' feature ',' one test ',None,'',' ','　abc','abc　','　abc　','　　']).lTrim(Scope.local))], - 'g_injectX__feature__X_lTrim': [(lambda g:g.inject(' feature ').lTrim())], - 'g_injectXListXa_bXX_lTrim': [(lambda g, xx1=None:g.inject(xx1).lTrim())], - 'g_injectXListX1_2XX_lTrimXlocalX': [(lambda g, xx1=None:g.inject(xx1).lTrim(Scope.local))], - 'g_V_valuesXnameX_lTrim': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.lTrim())], - 'g_V_valuesXnameX_order_fold_lTrimXlocalX': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().lTrim(Scope.local))], + 'g_injectX__feature___test__nullX_lTrim': [(lambda g:g.inject(' feature',' one test',None,'',' ','　abc','abc　','　abc　','　　').l_trim())], + 'g_injectX__feature___test__nullX_lTrimXlocalX': [(lambda g:g.inject([' feature ',' one test ',None,'',' ','　abc','abc　','　abc　','　　']).l_trim(Scope.local))], + 'g_injectX__feature__X_lTrim': [(lambda g:g.inject(' feature ').l_trim())], + 'g_injectXListXa_bXX_lTrim': [(lambda g, xx1=None:g.inject(xx1).l_trim())], + 'g_injectXListX1_2XX_lTrimXlocalX': [(lambda g, xx1=None:g.inject(xx1).l_trim(Scope.local))], + 'g_V_valuesXnameX_lTrim': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.l_trim())], + 'g_V_valuesXnameX_order_fold_lTrimXlocalX': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().l_trim(Scope.local))], 'g_injectXfeature_test_nullX_length': [(lambda g:g.inject('feature','test',None).length())], 'g_injectXfeature_test_nullX_lengthXlocalX': [(lambda g:g.inject('feature','test',None).length(Scope.local))], 'g_injectXListXa_bXX_length': [(lambda g, xx1=None:g.inject(xx1).length())], 'g_V_valuesXnameX_length': [(lambda g:g.V().name.length())], 'g_V_valuesXnameX_order_fold_lengthXlocalX': [(lambda g:g.V().name.order().fold().length(Scope.local))], - 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_or_loops_isX3XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simplePath()).until(__.has('name','peter').or_().loops().is_(3)).has('name','peter').path().by('name'))], - 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_or_loops_isX2XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simplePath()).until(__.has('name','peter').or_().loops().is_(2)).has('name','peter').path().by('name'))], - 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_and_loops_isX3XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simplePath()).until(__.has('name','peter').and_().loops().is_(3)).has('name','peter').path().by('name'))], + 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_or_loops_isX3XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simple_path()).until(__.has('name','peter').or_().loops().is_(3)).has('name','peter').path().by('name'))], + 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_or_loops_isX2XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simple_path()).until(__.has('name','peter').or_().loops().is_(2)).has('name','peter').path().by('name'))], + 'g_VX1X_repeatXboth_simplePathX_untilXhasXname_peterX_and_loops_isX3XX_hasXname_peterX_path_byXnameX': [(lambda g, vid1=None:g.V(vid1).repeat(__.both().simple_path()).until(__.has('name','peter').and_().loops().is_(3)).has('name','peter').path().by('name'))], 'g_V_emitXhasXname_markoX_or_loops_isX2XX_repeatXoutX_valuesXnameX': [(lambda g:g.V().emit(__.has('name','marko').or_().loops().is_(2)).repeat(__.out()).name)], 'g_VX1X_mapXnameX': [(lambda g, l1=None,vid1=None:g.V(vid1).map(l1))], - 'g_VX1X_outE_label_mapXlengthX': [(lambda g, l1=None,vid1=None:g.V(vid1).outE().label().map(l1))], + 'g_VX1X_outE_label_mapXlengthX': [(lambda g, l1=None,vid1=None:g.V(vid1).out_e().label().map(l1))], 'g_VX1X_out_mapXnameX_mapXlengthX': [(lambda g, l1=None,l2=None,vid1=None:g.V(vid1).out().map(l1).map(l2))], 'g_VX1X_out_mapXlambdaXnameXX_mapXlambdaXlengthXX': [(lambda g, vid1=None:g.V(vid1).out().map(lambda: "it.get().value('name')").map(lambda: "it.get().toString().length()"))], - 'g_withPath_V_asXaX_out_mapXa_nameX': [(lambda g, l1=None:g.withPath().V().as_('a').out().map(l1))], - 'g_withPath_V_asXaX_out_out_mapXa_name_it_nameX': [(lambda g, l1=None:g.withPath().V().as_('a').out().out().map(l1))], + 'g_withPath_V_asXaX_out_mapXa_nameX': [(lambda g, l1=None:g.with_path().V().as_('a').out().map(l1))], + 'g_withPath_V_asXaX_out_out_mapXa_name_it_nameX': [(lambda g, l1=None:g.with_path().V().as_('a').out().out().map(l1))], 'g_V_mapXselectXaXX': [(lambda g:g.V().as_('a').map(__.select('a')))], 'g_V_mapXconstantXnullXX': [(lambda g:g.V().map(__.constant(None)))], - 'g_V_valueMap_matchXa_selectXnameX_bX': [(lambda g:g.V().valueMap().match(__.as_('a').select('name').as_('b')))], + 'g_V_valueMap_matchXa_selectXnameX_bX': [(lambda g:g.V().value_map().match(__.as_('a').select('name').as_('b')))], 'g_V_matchXa_out_bX': [(lambda g:g.V().match(__.as_('a').out().as_('b')))], 'g_V_matchXa_out_bX_selectXb_idX': [(lambda g:g.V().match(__.as_('a').out().as_('b')).select('b').by(T.id_))], 'g_V_matchXa_knows_b__b_created_cX': [(lambda g:g.V().match(__.as_('a').out('knows').as_('b'),__.as_('b').out('created').as_('c')))], @@ -769,70 +769,70 @@ 'g_V_matchXa_knows_b__b_created_lop__b_matchXb_created_d__d_0created_cX_selectXcX_cX_selectXa_b_cX': [(lambda g:g.V().match(__.as_('a').out('knows').as_('b'),__.as_('b').out('created').has('name','lop'),__.as_('b').match(__.as_('b').out('created').as_('d'),__.as_('d').in_('created').as_('c')).select('c').as_('c')).select('a','b','c'))], 'g_V_matchXa_knows_b__a_created_cX': [(lambda g:g.V().match(__.as_('a').out('knows').as_('b'),__.as_('a').out('created').as_('c')))], 'g_V_matchXwhereXandXa_created_b__b_0created_count_isXeqX3XXXX__a_both_b__whereXb_inXX': [(lambda g:g.V().match(__.where(__.and_(__.as_('a').out('created').as_('b'),__.as_('b').in_('created').count().is_(P.eq(3)))),__.as_('a').both().as_('b'),__.where(__.as_('b').in_())))], - 'g_V_matchXa_outEXcreatedX_order_byXweight_descX_limitX1X_inV_b__b_hasXlang_javaXX_selectXa_bX_byXnameX': [(lambda g:g.V().match(__.as_('a').outE('created').order().by('weight',Order.desc)[0:1].in_v().as_('b'),__.as_('b').has('lang','java')).select('a','b').by('name'))], + 'g_V_matchXa_outEXcreatedX_order_byXweight_descX_limitX1X_inV_b__b_hasXlang_javaXX_selectXa_bX_byXnameX': [(lambda g:g.V().match(__.as_('a').out_e('created').order().by('weight',Order.desc)[0:1].in_v().as_('b'),__.as_('b').has('lang','java')).select('a','b').by('name'))], 'g_V_matchXa_both_b__b_both_cX_dedupXa_bX_byXlabelX': [(lambda g:g.V().match(__.as_('a').both().as_('b'),__.as_('b').both().as_('c')).dedup('a','b').by(T.label))], 'g_V_matchXa_created_b__b_0created_aX': [(lambda g:g.V().match(__.as_('a').out('created').as_('b'),__.as_('b').in_('created').as_('a')))], 'g_V_asXaX_out_asXbX_matchXa_out_count_c__orXa_knows_b__b_in_count_c__and__c_isXgtX2XXXX': [(lambda g:g.V().as_('a').out().as_('b').match(__.as_('a').out().count().as_('c'),__.or_(__.as_('a').out('knows').as_('b'),__.as_('b').in_().count().as_('c').and_().as_('c').is_(P.gt(2)))))], 'g_V_matchXa_knows_count_bX_selectXbX': [(lambda g:g.V().match(__.as_('a').out('knows').count().as_('b')).select('b'))], 'g_V_matchXa_0sungBy_b__a_0writtenBy_c__b_writtenBy_d__c_sungBy_d__d_hasXname_GarciaXX': [(lambda g:g.V().match(__.as_('a').in_('sungBy').as_('b'),__.as_('a').in_('writtenBy').as_('c'),__.as_('b').out('writtenBy').as_('d'),__.as_('c').out('sungBy').as_('d'),__.as_('d').has('name','Garcia')))], - 'g_V_matchXa_hasXsong_name_sunshineX__a_mapX0followedBy_weight_meanX_b__a_0followedBy_c__c_filterXweight_whereXgteXbXXX_outV_dX_selectXdX_byXnameX': [(lambda g:g.V().match(__.as_('a').has('song','name','HERE COMES SUNSHINE'),__.as_('a').map(__.inE('followedBy').weight.mean()).as_('b'),__.as_('a').inE('followedBy').as_('c'),__.as_('c').filter_(__.weight.where(P.gte('b'))).out_v().as_('d')).select('d').by('name'))], + 'g_V_matchXa_hasXsong_name_sunshineX__a_mapX0followedBy_weight_meanX_b__a_0followedBy_c__c_filterXweight_whereXgteXbXXX_outV_dX_selectXdX_byXnameX': [(lambda g:g.V().match(__.as_('a').has('song','name','HERE COMES SUNSHINE'),__.as_('a').map(__.in_e('followedBy').weight.mean()).as_('b'),__.as_('a').in_e('followedBy').as_('c'),__.as_('c').filter_(__.weight.where(P.gte('b'))).out_v().as_('d')).select('d').by('name'))], 'g_V_matchXa_0sungBy_b__a_0sungBy_c__b_writtenBy_d__c_writtenBy_e__d_hasXname_George_HarisonX__e_hasXname_Bob_MarleyXX': [(lambda 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'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').unfold().mean())], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_capXaX_unfold_mean': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').unfold().mean())], 'g_injectXnull_10_20_nullX_mean': [(lambda g, xx1=None,xx2=None:g.inject(None,xx1,xx2,None).mean())], 'g_injectXlistXnull_10_20_nullXX_meanXlocalX': [(lambda g, xx1=None:g.inject(xx1).mean(Scope.local))], 'g_VX1X_valuesXageX_meanXlocalX': [(lambda g, vid1=None:g.V(vid1).age.mean(Scope.local))], - 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_meanXlocalX': [(lambda g:g.V().local(__.union(__.age,__.outE().weight).fold()).mean(Scope.local))], + 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_meanXlocalX': [(lambda g:g.V().local(__.union(__.age,__.out_e().weight).fold()).mean(Scope.local))], 'g_injectXnullX_mergeXinjectX1XX': [(lambda g:g.inject(None).merge(__.inject(1)))], 'g_V_valuesXnameX_mergeXV_foldX': [(lambda g:g.V().name.merge(__.V().fold()))], 'g_V_fold_mergeXconstantXnullXX': [(lambda g:g.V().fold().merge(__.constant(None)))], 'g_V_fold_mergeXVX': [(lambda g:g.V().fold().merge(__.V()))], - 'g_V_elementMap_mergeXconstantXaXX': [(lambda g:g.V().elementMap().merge(__.constant('a')))], + 'g_V_elementMap_mergeXconstantXaXX': [(lambda g:g.V().element_map().merge(__.constant('a')))], 'g_V_fold_mergeXV_asXaX_projectXaX_byXnameXX': [(lambda g:g.V().fold().merge(__.V().as_('a').project('a').by('name')))], 'g_V_fold_mergeXk_vX': [(lambda g, xx1=None:g.V().fold().merge(xx1))], 'g_V_valuesXnameX_fold_mergeX2X': [(lambda g:g.V().name.fold().merge(2))], @@ -842,7 +842,7 @@ 'g_V_valuesXageX_fold_mergeXV_valuesXageX_foldX': [(lambda g:g.V().age.fold().merge(__.V().age.fold()))], 'g_V_out_path_byXvaluesXnameX_toUpperX_mergeXMARKOX': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).merge(xx1))], 'g_injectXmarkoX_mergeXV_valuesXnameX_foldX': [(lambda g, xx1=None:g.inject(xx1).merge(__.V().name.fold()))], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_mergeXseattle_vancouverX': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().merge(xx1))], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_mergeXseattle_vancouverX': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().merge(xx1))], 'g_V_out_out_path_byXnameX_mergeXempty_listX': [(lambda g, xx1=None:g.V().out().out().path().by('name').merge(xx1))], 'g_V_valuesXageX_fold_mergeXconstantX27X_foldX': [(lambda g:g.V().age.fold().merge(__.constant(27).fold()))], 'g_V_out_out_path_byXnameX_mergeXdave_kelvinX': [(lambda g, xx1=None:g.V().out().out().path().by('name').merge(xx1))], @@ -850,88 +850,88 @@ 'g_injectXa_null_bX_mergeXa_null_cX': [(lambda g, xx1=None,xx2=None:g.inject(xx1).merge(xx2))], 'g_injectX3_threeX_mergeXfive_three_7X': [(lambda g, xx1=None,xx2=None:g.inject(xx1).merge(xx2))], 'g_V_asXnameX_projectXnameX_byXnameX_mergeXother_blueprintX': [(lambda g, xx1=None:g.V().as_('name').project('name').by('name').merge(xx1))], - 'g_V_hasXname_markoX_elementMap_mergeXV_hasXname_lopX_elementMapX': [(lambda g:g.V().has('name','marko').elementMap().merge(__.V().has('name','lop').elementMap()))], - 'g_V_mergeEXlabel_selfX_optionXonMatch_emptyX': [(lambda g, xx1=None:g.addV('person').property('name','marko').property('age',29).addE('self')), (lambda g, xx1=None:g.V().merge_e(xx1).option(Merge.on_match,{})), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().properties()), (lambda g, xx1=None:g.V())], - 'g_V_mergeEXlabel_selfX_optionXonMatch_nullX': [(lambda g, xx1=None:g.addV('person').property('name','marko').property('age',29).addE('self')), (lambda g, xx1=None:g.V().merge_e(xx1).option(Merge.on_match,None)), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().properties()), (lambda g, xx1=None:g.V())], - 'g_V_mergeEXemptyX_optionXonCreate_nullX': [(lambda g, xx1=None:g.addV('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.V().as_('v').merge_e(xx1).option(Merge.on_create,None).option(Merge.out_v,__.select('v')).option(Merge.in_v,__.select('v'))), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.V())], - 'g_mergeEXemptyX_exists': [(lambda g:g.addV('person').property('name','marko').property('age',29).addE('self')), (lambda g:g.merge_e({})), (lambda g:g.E()), (lambda g:g.V())], - 'g_mergeEXemptyX': [(lambda g:g.addV('person').property('name','marko').property('age',29)), (lambda g:g.merge_e({}))], - 'g_V_mergeEXemptyX_two_exist': [(lambda g, xx1=None:g.addV('person').property('name','marko').property('age',29).addV('person').property('name','vadas').property('age',27)), (lambda g, xx1=None:g.V().as_('v').merge_e(xx1).option(Merge.out_v,__.select('v')).option(Merge.in_v,__.select('v'))), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.V())], - 'g_mergeEXnullX': [(lambda g:g.addV('person').property('name','marko').property('age',29)), (lambda g:g.merge_e(None))], - 'g_V_mergeEXnullX': [(lambda g:g.addV('person').property('name','marko').property('age',29)), (lambda g:g.V().merge_e(None))], - 'g_mergeEXlabel_knows_out_marko_in_vadasX': [(lambda g, xx1=None:g.addV('person').property('name','marko').addV('person').property('name','vadas')), (lambda g, xx1=None:g.merge_e(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], - 'g_withSideEffectXa_label_knows_out_marko_in_vadasX_mergeEXselectXaXX': [(lambda g, xx1=None:g.addV('person').property('name','marko').addV('person').property('name','vadas')), (lambda g, xx1=None:g.withSideEffect('a',xx1).merge_e(__.select('a'))), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], - 'g_mergeEXlabel_knows_out_marko1_in_vadas1X': [(lambda g, xx1=None:g.addV('person').property('name','marko').addV('person').property('name','vadas')), (lambda g, xx1=None:g.merge_e(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], - 'g_mergeEXlabel_knows_out_marko_in_vadas_weight_05X_exists': [(lambda g, xx1=None:g.addV('person').property('name','marko').as_('a').addV('person').property('name','vadas').as_('b').addE('knows').from_('a').to('b')), (lambda g, xx1=None:g.merge_e(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko').outE('knows').has('weight',float(0.5)).in_v().has('person','name','vadas')), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], + 'g_V_hasXname_markoX_elementMap_mergeXV_hasXname_lopX_elementMapX': [(lambda g:g.V().has('name','marko').element_map().merge(__.V().has('name','lop').element_map()))], + 'g_V_mergeEXlabel_selfX_optionXonMatch_emptyX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29).add_e('self')), (lambda g, xx1=None:g.V().merge_e(xx1).option(Merge.on_match,{})), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().properties()), (lambda g, xx1=None:g.V())], + 'g_V_mergeEXlabel_selfX_optionXonMatch_nullX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29).add_e('self')), (lambda g, xx1=None:g.V().merge_e(xx1).option(Merge.on_match,None)), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().properties()), (lambda g, xx1=None:g.V())], + 'g_V_mergeEXemptyX_optionXonCreate_nullX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.V().as_('v').merge_e(xx1).option(Merge.on_create,None).option(Merge.out_v,__.select('v')).option(Merge.in_v,__.select('v'))), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.V())], + 'g_mergeEXemptyX_exists': [(lambda g:g.add_v('person').property('name','marko').property('age',29).add_e('self')), (lambda g:g.merge_e({})), (lambda g:g.E()), (lambda g:g.V())], + 'g_mergeEXemptyX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.merge_e({}))], + 'g_V_mergeEXemptyX_two_exist': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29).add_v('person').property('name','vadas').property('age',27)), (lambda g, xx1=None:g.V().as_('v').merge_e(xx1).option(Merge.out_v,__.select('v')).option(Merge.in_v,__.select('v'))), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.V())], + 'g_mergeEXnullX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.merge_e(None))], + 'g_V_mergeEXnullX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.V().merge_e(None))], + 'g_mergeEXlabel_knows_out_marko_in_vadasX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').add_v('person').property('name','vadas')), (lambda g, xx1=None:g.merge_e(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], + 'g_withSideEffectXa_label_knows_out_marko_in_vadasX_mergeEXselectXaXX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').add_v('person').property('name','vadas')), (lambda g, xx1=None:g.with_side_effect('a',xx1).merge_e(__.select('a'))), (lambda g, xx1=None:g.V().has('person','name','marko').out('knows').has('person','name','vadas'))], + 'g_mergeEXlabel_knows_out_marko1_in_vadas1X': [(lambda g, 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xx1=None,xx2=None:g.addV('person').property('name','vadas').property('age',29).addV('person').property('name','vadas').property('age',27)), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_match,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('age',35)), (lambda g, xx1=None,xx2=None:g.V())], - 'g_V_mapXmergeXlabel_person_name_joshXX': [(lambda g, xx1=None:g.addV('person').property('name','vadas').property('age',29).addV('person').property('name','stephen').property('age',27)), (lambda g, xx1=None:g.V().map(__.merge_v(xx1))), (lambda g, xx1=None:g.V().has('person','name','josh')), (lambda g, xx1=None:g.V())], - 'g_withSideEffectXc_label_person_name_markoX_withSideEffectXm_age_19X_mergeVXselectXcXX_optionXonMatch_sideEffectXpropertiesXageX_dropX_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g, xx1=None,xx2=None:g.withSideEffect('c',xx1).withSideEffect('m',xx2).merge_v(__.select('c')).option(Merge.on_match,__.sideEffect(__.properties('age').drop()).select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age'))], - 'g_withSideEffectXm_age_19X_V_hasXperson_name_markoX_mergeVXselectXcXX_optionXonMatch_sideEffectXpropertiesXageX_dropX_selectXmXX_option': [(lambda g, xx1=None:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g, xx1=None:g.withSideEffect('m',xx1).V().has('person','name','marko').merge_v({}).option(Merge.on_match,__.sideEffect(__.properties('age').drop()).select('m')))], - 'g_mergeV_onCreate_inheritance_existing': [(lambda g, xx1=None,xx2=None:g.addV('person').property('name','mike').property(T.id_,'1')), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V('1').has('person','name','mike'))], + 'g_mergeVXemptyX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.merge_v({})), (lambda g:g.V().has('person','name','marko').has('age',29))], + 'g_V_mergeVXemptyX_two_exist': [(lambda g:g.add_v('person').property('name','marko').property('age',29).add_v('person').property('name','vadas').property('age',27)), (lambda g:g.V().merge_v({})), (lambda g:g.V()), (lambda g:g.V().has('person','name','marko').has('age',29)), (lambda g:g.V().has('person','name','vadas').has('age',27))], + 'g_mergeVXnullX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.merge_v(None)), (lambda g:g.V())], + 'g_V_mergeVXnullX': [(lambda g:g.add_v('person').property('name','marko').property('age',29)), (lambda g:g.V().merge_v(None)), (lambda g:g.V())], + 'g_mergeVXlabel_person_name_stephenX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.merge_v(xx1)), (lambda g, xx1=None:g.V().has('person','name','stephen'))], + 'g_mergeVXlabel_person_name_markoX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.merge_v(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko'))], + 'g_mergeVXlabel_person_name_stephenX_optionXonCreate_label_person_name_stephen_age_19X_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen').has('age',19))], + 'g_mergeVXlabel_person_name_markoX_optionXonMatch_age_19X_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_match,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19))], + 'g_withSideEffectXc_label_person_name_stephenX_withSideEffectXm_label_person_name_stephen_age_19X_mergeVXselectXcXX_optionXonCreate_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.with_side_effect('c',xx1).with_side_effect('m',xx2).merge_v(__.select('c')).option(Merge.on_create,__.select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen').has('age',19))], + 'g_withSideEffectXc_label_person_name_markoX_withSideEffectXm_age_19X_mergeVXselectXcXX_optionXonMatch_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.with_side_effect('c',xx1).with_side_effect('m',xx2).merge_v(__.select('c')).option(Merge.on_match,__.select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19))], + 'g_mergeVXlabel_person_name_markoX_propertyXname_vadas_acl_publicX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.merge_v(xx1).property('name','vadas','acl','public')), (lambda g, xx1=None:g.V().properties('name').has_value('vadas').has('acl','public'))], + 'g_injectX0X_mergeVXlabel_person_name_stephenX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.inject(0).merge_v(xx1)), (lambda g, xx1=None:g.V().has('person','name','stephen'))], + 'g_injectX0X_mergeVXlabel_person_name_markoX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.inject(0).merge_v(xx1)), (lambda g, xx1=None:g.V().has('person','name','marko'))], + 'g_injectX0X_mergeVXlabel_person_name_stephenX_optionXonCreate_label_person_name_stephen_age_19X_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.inject(0).merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen').has('age',19))], + 'g_injectX0X_mergeVXlabel_person_name_markoX_optionXonMatch_age_19X_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.inject(0).merge_v(xx1).option(Merge.on_match,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19))], + 'g_withSideEffectXc_label_person_name_stephenX_withSideEffectXm_label_person_name_stephen_age_19X_injectX0X_mergeVXselectXcXX_optionXonCreate_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.with_side_effect('c',xx1).with_side_effect('m',xx2).inject(0).merge_v(__.select('c')).option(Merge.on_create,__.select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen').has('age',19))], + 'g_withSideEffectXc_label_person_name_markoX_withSideEffectXm_age_19X_injectX0X_mergeVXselectXcXX_optionXonMatch_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.with_side_effect('c',xx1).with_side_effect('m',xx2).inject(0).merge_v(__.select('c')).option(Merge.on_match,__.select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19))], + 'g_injectX0X_mergeVXlabel_person_name_markoX_propertyXname_vadas_acl_publicX': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None:g.inject(0).merge_v(xx1).property('name','vadas','acl','public')), (lambda g, xx1=None:g.V().properties('name').has_value('vadas').has('acl','public'))], + 'g_injectXlabel_person_name_marko_label_person_name_stephenX_mergeVXidentityX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.inject(xx1,xx2).merge_v(__.identity())), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen')), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko')), (lambda g, xx1=None,xx2=None:g.V())], + 'g_injectXlabel_person_name_marko_label_person_name_stephenX_mergeV': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.inject(xx1,xx2).merge_v()), (lambda g, xx1=None,xx2=None:g.V().has('person','name','stephen')), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko')), (lambda g, xx1=None,xx2=None:g.V())], + 'g_mergeVXlabel_person_name_stephenX_propertyXlist_name_steveX': [(lambda g, xx1=None:g.add_v('person').property(Cardinality.list_,'name','stephen')), (lambda g, xx1=None:g.merge_v(xx1).property(Cardinality.list_,'name','steve')), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.V().properties('name').has_value('steve')), (lambda g, xx1=None:g.V().properties('name').has_value('stephen')), (lambda g, xx1=None:g.V().properties('name'))], + 'g_mergeXlabel_person_name_vadasX_optionXonMatch_age_35X': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','vadas').property('age',29).add_v('person').property('name','vadas').property('age',27)), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_match,xx2)), (lambda g, xx1=None,xx2=None:g.V().has('age',35)), (lambda g, xx1=None,xx2=None:g.V())], + 'g_V_mapXmergeXlabel_person_name_joshXX': [(lambda g, xx1=None:g.add_v('person').property('name','vadas').property('age',29).add_v('person').property('name','stephen').property('age',27)), (lambda g, xx1=None:g.V().map(__.merge_v(xx1))), (lambda g, xx1=None:g.V().has('person','name','josh')), (lambda g, xx1=None:g.V())], + 'g_withSideEffectXc_label_person_name_markoX_withSideEffectXm_age_19X_mergeVXselectXcXX_optionXonMatch_sideEffectXpropertiesXageX_dropX_selectXmXX_option': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g, xx1=None,xx2=None:g.with_side_effect('c',xx1).with_side_effect('m',xx2).merge_v(__.select('c')).option(Merge.on_match,__.side_effect(__.properties('age').drop()).select('m'))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age',19)), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age'))], + 'g_withSideEffectXm_age_19X_V_hasXperson_name_markoX_mergeVXselectXcXX_optionXonMatch_sideEffectXpropertiesXageX_dropX_selectXmXX_option': [(lambda g, xx1=None:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g, xx1=None:g.with_side_effect('m',xx1).V().has('person','name','marko').merge_v({}).option(Merge.on_match,__.side_effect(__.properties('age').drop()).select('m')))], + 'g_mergeV_onCreate_inheritance_existing': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','mike').property(T.id_,'1')), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V('1').has('person','name','mike'))], 'g_mergeV_onCreate_inheritance_new_1': [(lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V('1').has('person','name','mike'))], 'g_mergeV_onCreate_inheritance_new_2': [(lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V('1').has('person','name','mike'))], 'g_mergeV_label_override_prohibited': [(lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create,xx2))], @@ -942,95 +942,95 @@ 'g_mergeV_hidden_id_key_onCreate_prohibited': [(lambda g, xx1=None:g.merge_v({}).option(Merge.on_create,xx1))], 'g_mergeV_hidden_label_key_onCreate_prohibited': [(lambda g, xx1=None:g.merge_v({}).option(Merge.on_create,xx1))], 'g_mergeV_hidden_label_value_onCreate_prohibited': [(lambda g, xx1=None:g.merge_v({}).option(Merge.on_create,xx1))], - 'g_mergeV_hidden_id_key_onMatch_matched_prohibited': [(lambda g, xx1=None:g.addV('vertex')), (lambda g, xx1=None:g.merge_v({}).option(Merge.on_match,xx1))], - 'g_mergeV_hidden_label_key_matched_onMatch_matched_prohibited': [(lambda g, xx1=None:g.addV('vertex')), (lambda g, xx1=None:g.merge_v({}).option(Merge.on_match,xx1))], - 'g_mergeVXname_markoX_optionXonMatch_age_listX33XX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.list_(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_age_setX33XX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.set_(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_age_setX31XX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.set_(31)})), (lambda g:g.V().has('person','name','marko').has('age',31)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_age_singleX33XX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.single(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_age_33_singleX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':33},Cardinality.single)), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_name_allen_age_setX31X_singleX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'name':'allen','age':CardinalityValue.set_(31)},Cardinality.single)), (lambda g:g.V().has('person','name','marko')), (lambda g:g.V().has('person','name','allen').has('age',31)), (lambda g:g.V().has('person','name','allen').has('age')), (lambda g:g.V().has('person','name','allen').properties('age'))], - 'g_mergeVXname_markoX_optionXonMatch_name_allen_age_singleX31X_singleX': [(lambda g:g.addV('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'name':'allen','age':CardinalityValue.single(31)},Cardinality.single)), (lambda g:g.V().has('person','name','marko')), (lambda g:g.V().has('person','name','allen').has('age',33)), (lambda g:g.V().has('person','name','allen').has('age',31)), (lambda g:g.V().has('person','name','allen').has('age')), (lambda g:g.V().has('person','name','allen').properties('age'))], + 'g_mergeV_hidden_id_key_onMatch_matched_prohibited': [(lambda g, xx1=None:g.add_v('vertex')), (lambda g, xx1=None:g.merge_v({}).option(Merge.on_match,xx1))], + 'g_mergeV_hidden_label_key_matched_onMatch_matched_prohibited': [(lambda g, xx1=None:g.add_v('vertex')), (lambda g, xx1=None:g.merge_v({}).option(Merge.on_match,xx1))], + 'g_mergeVXname_markoX_optionXonMatch_age_listX33XX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.list_(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_age_setX33XX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.set_(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_age_setX31XX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.set_(31)})), (lambda g:g.V().has('person','name','marko').has('age',31)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_age_singleX33XX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':CardinalityValue.single(33)})), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_age_33_singleX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'age':33},Cardinality.single)), (lambda g:g.V().has('person','name','marko').has('age',33)), (lambda g:g.V().has('person','name','marko').has('age')), (lambda g:g.V().has('person','name','marko').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_name_allen_age_setX31X_singleX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'name':'allen','age':CardinalityValue.set_(31)},Cardinality.single)), (lambda g:g.V().has('person','name','marko')), (lambda g:g.V().has('person','name','allen').has('age',31)), (lambda g:g.V().has('person','name','allen').has('age')), (lambda g:g.V().has('person','name','allen').properties('age'))], + 'g_mergeVXname_markoX_optionXonMatch_name_allen_age_singleX31X_singleX': [(lambda g:g.add_v('person').property('name','marko').property(Cardinality.list_,'age',29).property(Cardinality.list_,'age',31).property(Cardinality.list_,'age',32)), (lambda g:g.merge_v({'name':'marko'}).option(Merge.on_match,{'name':'allen','age':CardinalityValue.single(31)},Cardinality.single)), (lambda g:g.V().has('person','name','marko')), (lambda g:g.V().has('person','name','allen').has('age',33)), (lambda g:g.V().has('person','name','allen').has('age',31)), (lambda g:g.V().has('person','name','allen').has('age')), (lambda g:g.V().has('person','name','allen').properties('age'))], 'g_mergeVXname_aliceX_optionXonCreate_age_singleX81XX': [(lambda g:g.merge_v({'name':'alice',T.label:'person'}).option(Merge.on_create,{'age':CardinalityValue.single(81)})), (lambda g:g.V().has('person','name','alice').has('age',81)), (lambda g:g.V().has('person','name','alice').has('age')), (lambda g:g.V().has('person','name','alice').properties('age'))], 'g_mergeVXname_aliceX_optionXonCreate_age_setX81XX': [(lambda g:g.merge_v({'name':'alice',T.label:'person'}).option(Merge.on_create,{'age':CardinalityValue.set_(81)})), (lambda g:g.V().has('person','name','alice').has('age',81)), (lambda g:g.V().has('person','name','alice').has('age')), (lambda g:g.V().has('person','name','alice').properties('age'))], 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xx1=None,xx2=None:g.addV('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_match,xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('age'))], + 'g_injectXlist1_list2X_mergeVXlimitXlocal_1XX_optionXonCreate_rangeXlocal_1_2X_optionXonMatch_tailXlocalXX_to_match': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name','marko').property('age',29)), (lambda g, xx1=None,xx2=None:g.inject(xx1,xx1,xx2).fold().merge_v(__.limit(Scope.local,1)).option(Merge.on_create,__.range_(Scope.local,1,2)).option(Merge.on_match,__.tail(Scope.local))), (lambda g, xx1=None,xx2=None:g.V().has('person','name','marko').has('created','N')), (lambda g, xx1=None,xx2=None:g.V())], + 'g_injectXlist1_list2X_mergeVXlimitXlocal_1XX_optionXonCreate_rangeXlocal_1_2X_optionXonMatch_tailXlocalXX_to_create': [(lambda g, 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g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').min_(Scope.local))], 'g_V_aggregateXaX_byXageX_capXaX_unfold_min': [(lambda g:g.V().aggregate('a').by('age').cap('a').unfold().min_())], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_capXaX_unfold_min': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').unfold().min_())], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_capXaX_unfold_min': [(lambda 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'g_VX1X_valuesXageX_minXlocalX': [(lambda g, vid1=None:g.V(vid1).age.min_(Scope.local))], - 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_minXlocalX': [(lambda g:g.V().local(__.union(__.age,__.outE().weight).fold()).min_(Scope.local))], + 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_minXlocalX': [(lambda g:g.V().local(__.union(__.age,__.out_e().weight).fold()).min_(Scope.local))], 'g_V_name_order': [(lambda g:g.V().name.order())], 'g_V_name_order_byXa1_b1X_byXb2_a2X': [(lambda g, c1=None,c2=None:g.V().name.order().by(c1).by(c2))], 'g_V_order_byXname_ascX_name': [(lambda g:g.V().order().by('name',Order.asc).name)], 'g_V_order_byXnameX_name': [(lambda g:g.V().order().by('name').name)], - 'g_V_outE_order_byXweight_descX_weight': [(lambda g:g.V().outE().order().by('weight',Order.desc).weight)], + 'g_V_outE_order_byXweight_descX_weight': [(lambda g:g.V().out_e().order().by('weight',Order.desc).weight)], 'g_V_order_byXname_a1_b1X_byXname_b2_a2X_name': [(lambda g, c1=None,c2=None:g.V().order().by('name',c1).by('name',c2).name)], 'g_V_asXaX_outXcreatedX_asXbX_order_byXshuffleX_selectXa_bX': [(lambda g:g.V().as_('a').out('created').as_('b').order().by(Order.shuffle).select('a','b'))], - 'g_V_both_hasLabelXpersonX_order_byXage_descX_limitX5X_name': [(lambda g:g.V().both().hasLabel('person').order().by('age',Order.desc)[0:5].name)], + 'g_V_both_hasLabelXpersonX_order_byXage_descX_limitX5X_name': [(lambda g:g.V().both().has_label('person').order().by('age',Order.desc)[0:5].name)], 'g_V_properties_order_byXkey_descX_key': [(lambda g:g.V().properties().order().by(T.key,Order.desc).key())], - 'g_V_hasLabelXpersonX_order_byXvalueXageX_descX_name': [(lambda g, l1=None:g.V().hasLabel('person').order().by(l1,Order.desc).name)], - 'g_V_hasLabelXpersonX_group_byXnameX_byXoutE_weight_sumX_orderXlocalX_byXvaluesX': [(lambda g:g.V().hasLabel('person').group().by('name').by(__.outE().weight.sum_()).order(Scope.local).by(Column.values))], - 'g_V_mapXbothE_weight_foldX_order_byXsumXlocalX_descX_byXcountXlocalX_descX': [(lambda g:g.V().map(__.bothE().weight.order().by(Order.asc).fold()).order().by(__.sum_(Scope.local),Order.desc).by(__.count(Scope.local),Order.desc))], + 'g_V_hasLabelXpersonX_order_byXvalueXageX_descX_name': [(lambda g, l1=None:g.V().has_label('person').order().by(l1,Order.desc).name)], + 'g_V_hasLabelXpersonX_group_byXnameX_byXoutE_weight_sumX_orderXlocalX_byXvaluesX': [(lambda g:g.V().has_label('person').group().by('name').by(__.out_e().weight.sum_()).order(Scope.local).by(Column.values))], + 'g_V_mapXbothE_weight_foldX_order_byXsumXlocalX_descX_byXcountXlocalX_descX': [(lambda g:g.V().map(__.both_e().weight.order().by(Order.asc).fold()).order().by(__.sum_(Scope.local),Order.desc).by(__.count(Scope.local),Order.desc))], 'g_V_group_byXlabelX_byXname_order_byXdescX_foldX': [(lambda g:g.V().group().by(T.label).by(__.name.order().by(Order.desc).fold()))], - 'g_V_hasLabelXpersonX_group_byXnameX_byXoutE_weight_sumX_unfold_order_byXvalues_descX': [(lambda g:g.V().hasLabel('person').group().by('name').by(__.outE().weight.sum_()).unfold().order().by(Column.values,Order.desc))], - 'g_V_asXvX_mapXbothE_weight_foldX_sumXlocalX_asXsX_selectXv_sX_order_byXselectXsX_descX_byXselectXvX_nameX': [(lambda g:g.V().as_('v').map(__.bothE().weight.fold()).sum_(Scope.local).as_('s').select('v','s').order().by(__.select('s'),Order.desc).by(__.select('v').name))], - 'g_V_hasLabelXpersonX_fold_orderXlocalX_byXageX': [(lambda g:g.V().hasLabel('person').fold().order(Scope.local).by('age'))], - 'g_V_both_hasLabelXpersonX_order_byXage_descX_name': [(lambda g:g.V().both().hasLabel('person').order().by('age',Order.desc).name)], - 'g_V_order_byXoutE_count_descX_byXnameX': [(lambda g:g.V().order().by(__.outE().count(),Order.desc).by('name'))], - 'g_V_hasLabelXpersonX_order_byXageX': [(lambda g:g.V().hasLabel('person').order().by('age'))], + 'g_V_hasLabelXpersonX_group_byXnameX_byXoutE_weight_sumX_unfold_order_byXvalues_descX': [(lambda g:g.V().has_label('person').group().by('name').by(__.out_e().weight.sum_()).unfold().order().by(Column.values,Order.desc))], + 'g_V_asXvX_mapXbothE_weight_foldX_sumXlocalX_asXsX_selectXv_sX_order_byXselectXsX_descX_byXselectXvX_nameX': [(lambda g:g.V().as_('v').map(__.both_e().weight.fold()).sum_(Scope.local).as_('s').select('v','s').order().by(__.select('s'),Order.desc).by(__.select('v').name))], + 'g_V_hasLabelXpersonX_fold_orderXlocalX_byXageX': [(lambda g:g.V().has_label('person').fold().order(Scope.local).by('age'))], + 'g_V_both_hasLabelXpersonX_order_byXage_descX_name': [(lambda g:g.V().both().has_label('person').order().by('age',Order.desc).name)], + 'g_V_order_byXoutE_count_descX_byXnameX': [(lambda g:g.V().order().by(__.out_e().count(),Order.desc).by('name'))], + 'g_V_hasLabelXpersonX_order_byXageX': [(lambda g:g.V().has_label('person').order().by('age'))], 'g_V_order_byXageX': [(lambda g:g.V().order().by('age'))], 'g_V_fold_orderXlocalX_byXageX': [(lambda g:g.V().fold().order(Scope.local).by('age'))], 'g_V_fold_orderXlocalX_byXage_descX': [(lambda g:g.V().fold().order(Scope.local).by('age',Order.desc))], - 'g_V_orXhasLabelXpersonX_hasXsoftware_name_lopXX_order_byXageX': [(lambda g:g.V().or_(__.hasLabel('person'),__.has('software','name','lop')).order().by('age'))], - 'g_withStrategiesXProductiveByStrategyX_V_orXhasLabelXpersonX_hasXsoftware_name_lopXX_order_byXageX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().or_(__.hasLabel('person'),__.has('software','name','lop')).order().by('age'))], - 'g_VX1X_hasXlabel_personX_mapXmapXint_ageXX_orderXlocalX_byXvalues_descX_byXkeys_ascX': [(lambda g, l1=None,v1=None:g.V(v1).hasLabel('person').map(l1).order(Scope.local).by(Column.values,Order.desc).by(Column.keys,Order.asc))], + 'g_V_orXhasLabelXpersonX_hasXsoftware_name_lopXX_order_byXageX': [(lambda g:g.V().or_(__.has_label('person'),__.has('software','name','lop')).order().by('age'))], + 'g_withStrategiesXProductiveByStrategyX_V_orXhasLabelXpersonX_hasXsoftware_name_lopXX_order_byXageX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().or_(__.has_label('person'),__.has('software','name','lop')).order().by('age'))], + 'g_VX1X_hasXlabel_personX_mapXmapXint_ageXX_orderXlocalX_byXvalues_descX_byXkeys_ascX': [(lambda g, l1=None,v1=None:g.V(v1).has_label('person').map(l1).order(Scope.local).by(Column.values,Order.desc).by(Column.keys,Order.asc))], 'g_V_hasXsong_name_OHBOYX_outXfollowedByX_outXfollowedByX_order_byXperformancesX_byXsongType_descX': [(lambda g:g.V().has('song','name','OH BOY').out('followedBy').out('followedBy').order().by('performances').by('songType',Order.desc).by('name'))], - 'g_V_hasLabelXsongX_order_byXperformances_descX_byXnameX_rangeX110_120X_name': [(lambda g:g.V().hasLabel('song').order().by('performances',Order.desc).by('name')[110:120].name)], - 'g_VX1X_elementMap_orderXlocalX_byXkeys_descXunfold': [(lambda g, vid1=None:g.V(vid1).elementMap().order(Scope.local).by(Column.keys,Order.desc).unfold())], - 'g_VX1X_elementMap_orderXlocalX_byXkeys_ascXunfold': [(lambda g, vid1=None:g.V(vid1).elementMap().order(Scope.local).by(Column.keys,Order.asc).unfold())], + 'g_V_hasLabelXsongX_order_byXperformances_descX_byXnameX_rangeX110_120X_name': [(lambda g:g.V().has_label('song').order().by('performances',Order.desc).by('name')[110:120].name)], + 'g_VX1X_elementMap_orderXlocalX_byXkeys_descXunfold': [(lambda g, vid1=None:g.V(vid1).element_map().order(Scope.local).by(Column.keys,Order.desc).unfold())], + 'g_VX1X_elementMap_orderXlocalX_byXkeys_ascXunfold': [(lambda g, vid1=None:g.V(vid1).element_map().order(Scope.local).by(Column.keys,Order.asc).unfold())], 'g_VX1X_valuesXageX_orderXlocalX': [(lambda g, vid1=None:g.V(vid1).age.order(Scope.local))], - 'g_V_pageRank_hasXpageRankX': [(lambda g:g.V().pageRank().has('gremlin.pageRankVertexProgram.pageRank'))], - 'g_V_outXcreatedX_pageRank_withXedges_bothEX_withXpropertyName_projectRankX_withXtimes_0X_valueMapXname_projectRankX': [(lambda g:g.V().out('created').pageRank().with_('~tinkerpop.pageRank.edges',__.bothE()).with_('~tinkerpop.pageRank.propertyName','projectRank').with_('~tinkerpop.pageRank.times',0).valueMap('name','projectRank'))], - 'g_V_pageRank_order_byXpageRank_descX_byXnameX_name': [(lambda g:g.V().pageRank().order().by('gremlin.pageRankVertexProgram.pageRank',Order.desc).by('name').name)], - 'g_V_pageRank_order_byXpageRank_descX_name_limitX2X': [(lambda g:g.V().pageRank().order().by('gremlin.pageRankVertexProgram.pageRank',Order.desc).name[0:2])], - 'g_V_pageRank_withXedges_outEXknowsXX_withXpropertyName_friendRankX_project_byXnameX_byXvaluesXfriendRankX_mathX': [(lambda g:g.V().pageRank().with_('~tinkerpop.pageRank.edges',__.outE('knows')).with_('~tinkerpop.pageRank.propertyName','friendRank').project('name','friendRank').by('name').by(__.friendRank.math('ceil(_ * 100)')))], - 'g_V_hasLabelXpersonX_pageRank_withXpropertyName_kpageRankX_project_byXnameX_byXvaluesXpageRankX_mathX': [(lambda g:g.V().hasLabel('person').pageRank().with_('~tinkerpop.pageRank.propertyName','pageRank').project('name','pageRank').by('name').by(__.values('pageRank').math('ceil(_ * 100)')))], - 'g_V_pageRank_withXpropertyName_pageRankX_asXaX_outXknowsX_pageRank_asXbX_selectXa_bX_by_byXmathX': [(lambda g:g.V().pageRank().with_('~tinkerpop.pageRank.propertyName','pageRank').as_('a').out('knows').values('pageRank').as_('b').select('a','b').by().by(__.math('ceil(_ * 100)')))], - 'g_V_hasLabelXsoftwareX_hasXname_rippleX_pageRankX1X_withXedges_inEXcreatedX_withXtimes_1X_withXpropertyName_priorsX_inXcreatedX_unionXboth__identityX_valueMapXname_priorsX': [(lambda g:g.V().hasLabel('software').has('name','ripple').pageRank(float(1.0)).with_('~tinkerpop.pageRank.edges',__.inE('created')).with_('~tinkerpop.pageRank.times',1).with_('~tinkerpop.pageRank.propertyName','priors').in_('created').union(__.both(),__.identity()).valueMap('name','priors'))], - 'g_V_outXcreatedX_groupXmX_byXlabelX_pageRankX1X_withXpropertyName_pageRankX_withXedges_inEX_withXtimes_1X_inXcreatedX_groupXmX_byXpageRankX_capXmX': [(lambda g:g.V().out('created').group('m').by(T.label).pageRank(float(1.0)).with_('~tinkerpop.pageRank.propertyName','pageRank').with_('~tinkerpop.pageRank.edges',__.inE()).with_('~tinkerpop.pageRank.times',1).in_('created').group('m').by('pageRank').cap('m'))], + 'g_V_pageRank_hasXpageRankX': [(lambda g:g.V().page_rank().has('gremlin.pageRankVertexProgram.pageRank'))], + 'g_V_outXcreatedX_pageRank_withXedges_bothEX_withXpropertyName_projectRankX_withXtimes_0X_valueMapXname_projectRankX': [(lambda g:g.V().out('created').page_rank().with_('~tinkerpop.pageRank.edges',__.both_e()).with_('~tinkerpop.pageRank.propertyName','projectRank').with_('~tinkerpop.pageRank.times',0).value_map('name','projectRank'))], + 'g_V_pageRank_order_byXpageRank_descX_byXnameX_name': [(lambda g:g.V().page_rank().order().by('gremlin.pageRankVertexProgram.pageRank',Order.desc).by('name').name)], + 'g_V_pageRank_order_byXpageRank_descX_name_limitX2X': [(lambda g:g.V().page_rank().order().by('gremlin.pageRankVertexProgram.pageRank',Order.desc).name[0:2])], + 'g_V_pageRank_withXedges_outEXknowsXX_withXpropertyName_friendRankX_project_byXnameX_byXvaluesXfriendRankX_mathX': [(lambda g:g.V().page_rank().with_('~tinkerpop.pageRank.edges',__.out_e('knows')).with_('~tinkerpop.pageRank.propertyName','friendRank').project('name','friendRank').by('name').by(__.friendRank.math('ceil(_ * 100)')))], + 'g_V_hasLabelXpersonX_pageRank_withXpropertyName_kpageRankX_project_byXnameX_byXvaluesXpageRankX_mathX': [(lambda g:g.V().has_label('person').page_rank().with_('~tinkerpop.pageRank.propertyName','pageRank').project('name','pageRank').by('name').by(__.values('pageRank').math('ceil(_ * 100)')))], + 'g_V_pageRank_withXpropertyName_pageRankX_asXaX_outXknowsX_pageRank_asXbX_selectXa_bX_by_byXmathX': [(lambda g:g.V().page_rank().with_('~tinkerpop.pageRank.propertyName','pageRank').as_('a').out('knows').values('pageRank').as_('b').select('a','b').by().by(__.math('ceil(_ * 100)')))], + 'g_V_hasLabelXsoftwareX_hasXname_rippleX_pageRankX1X_withXedges_inEXcreatedX_withXtimes_1X_withXpropertyName_priorsX_inXcreatedX_unionXboth__identityX_valueMapXname_priorsX': [(lambda g:g.V().has_label('software').has('name','ripple').page_rank(float(1.0)).with_('~tinkerpop.pageRank.edges',__.in_e('created')).with_('~tinkerpop.pageRank.times',1).with_('~tinkerpop.pageRank.propertyName','priors').in_('created').union(__.both(),__.identity()).value_map('name','priors'))], + 'g_V_outXcreatedX_groupXmX_byXlabelX_pageRankX1X_withXpropertyName_pageRankX_withXedges_inEX_withXtimes_1X_inXcreatedX_groupXmX_byXpageRankX_capXmX': [(lambda g:g.V().out('created').group('m').by(T.label).page_rank(float(1.0)).with_('~tinkerpop.pageRank.propertyName','pageRank').with_('~tinkerpop.pageRank.edges',__.in_e()).with_('~tinkerpop.pageRank.times',1).in_('created').group('m').by('pageRank').cap('m'))], 'g_VX1X_name_path': [(lambda g, vid1=None:g.V(vid1).name.path())], 'g_VX1X_out_path_byXageX_byXnameX': [(lambda g, vid1=None:g.V(vid1).out().path().by('age').by('name'))], 'g_V_repeatXoutX_timesX2X_path_byXitX_byXnameX_byXlangX': [(lambda g:g.V().repeat(__.out()).times(2).path().by().by('name').by('lang'))], 'g_V_out_out_path_byXnameX_byXageX': [(lambda g:g.V().out().out().path().by('name').by('age'))], 'g_V_asXaX_hasXname_markoX_asXbX_hasXage_29X_asXcX_path': [(lambda g:g.V().as_('a').has('name','marko').as_('b').has('age',29).as_('c').path())], - 'g_VX1X_outEXcreatedX_inV_inE_outV_path': [(lambda g, vid1=None:g.V(vid1).outE('created').in_v().inE().out_v().path())], + 'g_VX1X_outEXcreatedX_inV_inE_outV_path': [(lambda g, vid1=None:g.V(vid1).out_e('created').in_v().in_e().out_v().path())], 'g_V_asXaX_out_asXbX_out_asXcX_path_fromXbX_toXcX_byXnameX': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').path().from_('b').to('c').by('name'))], 'g_VX1X_out_path_byXageX': [(lambda g, vid1=None:g.V(vid1).out().path().by('age'))], - 'g_withStrategiesXProductiveByStrategyX_VX1X_out_path_byXageX': [(lambda g, vid1=None:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V(vid1).out().path().by('age'))], + 'g_withStrategiesXProductiveByStrategyX_VX1X_out_path_byXageX': [(lambda g, vid1=None:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V(vid1).out().path().by('age'))], 'g_injectX1_null_nullX_path': [(lambda g:g.inject(1,None,None).path())], 'g_injectX1_null_nullX_path_dedup': [(lambda g:g.inject(1,None,None).path().dedup())], - 'g_V_peerPressure_hasXclusterX': [(lambda g:g.V().peerPressure().has('gremlin.peerPressureVertexProgram.cluster'))], - 'g_V_peerPressure_withXpropertyName_clusterX_withXedges_outEXknowsXX_pageRankX1X_byXrankX_withXedges_outEXknowsX_withXtimes_2X_group_byXclusterX_byXrank_sumX_limitX100X': [(lambda g:g.V().peerPressure().with_('~tinkerpop.peerPressure.propertyName','cluster').with_('~tinkerpop.peerPressure.edges',__.outE('knows')).pageRank(float(1.0)).with_('~tinkerpop.pageRank.propertyName','rank').with_('~tinkerpop.pageRank.edges',__.outE('knows')).with_('~tinkerpop.pageRank.times',1).group().by('cluster').by(__.rank.sum_())[0:100])], - 'g_V_hasXname_rippleX_inXcreatedX_peerPressure_withXedges_outEX_withyXpropertyName_clusterX_repeatXunionXidentity__bothX_timesX2X_dedup_valueMapXname_clusterX': [(lambda g:g.V().has('name','ripple').in_('created').peerPressure().with_('~tinkerpop.peerPressure.edges',__.outE()).with_('~tinkerpop.peerPressure.propertyName','cluster').repeat(__.union(__.identity(),__.both())).times(2).dedup().valueMap('name','cluster'))], + 'g_V_peerPressure_hasXclusterX': [(lambda g:g.V().peer_pressure().has('gremlin.peerPressureVertexProgram.cluster'))], + 'g_V_peerPressure_withXpropertyName_clusterX_withXedges_outEXknowsXX_pageRankX1X_byXrankX_withXedges_outEXknowsX_withXtimes_2X_group_byXclusterX_byXrank_sumX_limitX100X': [(lambda g:g.V().peer_pressure().with_('~tinkerpop.peerPressure.propertyName','cluster').with_('~tinkerpop.peerPressure.edges',__.out_e('knows')).page_rank(float(1.0)).with_('~tinkerpop.pageRank.propertyName','rank').with_('~tinkerpop.pageRank.edges',__.out_e('knows')).with_('~tinkerpop.pageRank.times',1).group().by('cluster').by(__.rank.sum_())[0:100])], + 'g_V_hasXname_rippleX_inXcreatedX_peerPressure_withXedges_outEX_withyXpropertyName_clusterX_repeatXunionXidentity__bothX_timesX2X_dedup_valueMapXname_clusterX': [(lambda g:g.V().has('name','ripple').in_('created').peer_pressure().with_('~tinkerpop.peerPressure.edges',__.out_e()).with_('~tinkerpop.peerPressure.propertyName','cluster').repeat(__.union(__.identity(),__.both())).times(2).dedup().value_map('name','cluster'))], 'g_injectXnullX_productXinjectX1XX': [(lambda g:g.inject(None).product(__.inject(1)))], 'g_V_valuesXnameX_productXV_foldX': [(lambda g:g.V().name.product(__.V().fold()))], 'g_V_fold_productXconstantXnullXX': [(lambda g:g.V().fold().product(__.constant(None)))], @@ -1042,35 +1042,35 @@ 'g_V_valuesXageX_order_byXdescX_limitX3X_fold_productXV_valuesXageX_order_byXascX_limitX2X_foldX_unfold': [(lambda g:g.V().age.order().by(Order.desc)[0:3].fold().product(__.V().age.order().by(Order.asc)[0:2].fold()).unfold())], 'g_V_out_path_byXvaluesXnameX_toUpperX_productXMARKOX_unfold': [(lambda g, xx1=None:g.V().out().path().by(__.name.to_upper()).product(xx1).unfold())], 'g_injectXmarkoX_productXV_valuesXnameX_order_foldX_unfold': [(lambda g, xx1=None:g.inject(xx1).product(__.V().name.order().fold()).unfold())], - 'g_V_valueMapXlocationX_selectXvaluesX_unfold_productXdulles_seattle_vancouverX_unfold': [(lambda g, xx1=None:g.V().valueMap('location').select(Column.values).unfold().product(xx1).unfold())], + 'g_V_valueMapXlocationX_selectXvaluesX_unfold_productXdulles_seattle_vancouverX_unfold': [(lambda g, xx1=None:g.V().value_map('location').select(Column.values).unfold().product(xx1).unfold())], 'g_V_valuesXageX_order_byXascX_fold_productXconstantX27X_foldX_unfold': [(lambda g:g.V().age.order().by(Order.asc).fold().product(__.constant(27).fold()).unfold())], 'g_V_out_out_path_byXnameX_productXdave_kelvinX_unfold': [(lambda g, xx1=None:g.V().out().out().path().by('name').product(xx1).unfold())], 'g_injectXa_null_bX_productXa_cX_unfold': [(lambda g, xx1=None,xx2=None:g.inject(xx1).product(xx2).unfold())], 'g_injectXa_null_bX_productXa_null_cX_unfold': [(lambda g, xx1=None,xx2=None:g.inject(xx1).product(xx2).unfold())], 'g_injectX3_threeX_productXfive_three_7X_unfold': [(lambda g, xx1=None,xx2=None:g.inject(xx1).product(xx2).unfold())], - 'g_V_hasLabelXpersonX_projectXa_bX_byXoutE_countX_byXageX': [(lambda g:g.V().hasLabel('person').project('a','b').by(__.outE().count()).by('age'))], + 'g_V_hasLabelXpersonX_projectXa_bX_byXoutE_countX_byXageX': [(lambda g:g.V().has_label('person').project('a','b').by(__.out_e().count()).by('age'))], 'g_V_outXcreatedX_projectXa_bX_byXnameX_byXinXcreatedX_countX_order_byXselectXbX__descX_selectXaX': [(lambda g:g.V().out('created').project('a','b').by('name').by(__.in_('created').count()).order().by(__.select('b'),Order.desc).select('a'))], - 'g_V_valueMap_projectXxX_byXselectXnameXX': [(lambda g:g.V().valueMap().project('x').by(__.select('name')))], - 'g_V_projectXa_bX_byXinE_countX_byXageX': [(lambda g:g.V().project('a','b').by(__.inE().count()).by('age'))], - 'g_withStrategiesXProductiveByStrategyX_V_projectXa_bX_byXinE_countX_byXageX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().project('a','b').by(__.inE().count()).by('age'))], + 'g_V_valueMap_projectXxX_byXselectXnameXX': [(lambda g:g.V().value_map().project('x').by(__.select('name')))], + 'g_V_projectXa_bX_byXinE_countX_byXageX': [(lambda g:g.V().project('a','b').by(__.in_e().count()).by('age'))], + 'g_withStrategiesXProductiveByStrategyX_V_projectXa_bX_byXinE_countX_byXageX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().project('a','b').by(__.in_e().count()).by('age'))], 'g_V_hasXageX_propertiesXnameX': [(lambda g:g.V().has('age').properties('name').value())], 'g_V_hasXageX_propertiesXname_ageX_value': [(lambda g:g.V().has('age').properties('name','age').value())], 'g_V_hasXageX_propertiesXage_nameX_value': [(lambda g:g.V().has('age').properties('age','name').value())], 'g_V_propertiesXname_age_nullX_value': [(lambda g:g.V().properties('name','age',None).value())], 'g_V_valuesXname_age_nullX': [(lambda g:g.V().values('name','age',None))], - 'g_injectX__feature___test__nullX_rTrim': [(lambda g:g.inject('feature ','one test ',None,'',' ','　abc','abc　','　abc　','　　').rTrim())], - 'g_injectX__feature___test__nullX_rTrimXlocalX': [(lambda g:g.inject([' feature ',' one test ',None,'',' ','　abc','abc　','　abc　','　　']).rTrim(Scope.local))], - 'g_injectX__feature__X_rTrim': [(lambda g:g.inject(' feature ').rTrim())], - 'g_injectXListXa_bXX_rTrim': [(lambda g, xx1=None:g.inject(xx1).rTrim())], - 'g_injectXListX1_2XX_rTrimXlocalX': [(lambda g, xx1=None:g.inject(xx1).rTrim(Scope.local))], - 'g_V_valuesXnameX_rTrim': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.rTrim())], - 'g_V_valuesXnameX_order_fold_rTrimXlocalX': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().rTrim(Scope.local))], + 'g_injectX__feature___test__nullX_rTrim': [(lambda g:g.inject('feature ','one test ',None,'',' ','　abc','abc　','　abc　','　　').r_trim())], + 'g_injectX__feature___test__nullX_rTrimXlocalX': [(lambda g:g.inject([' feature ',' one test ',None,'',' ','　abc','abc　','　abc　','　　']).r_trim(Scope.local))], + 'g_injectX__feature__X_rTrim': [(lambda g:g.inject(' feature ').r_trim())], + 'g_injectXListXa_bXX_rTrim': [(lambda g, xx1=None:g.inject(xx1).r_trim())], + 'g_injectXListX1_2XX_rTrimXlocalX': [(lambda g, xx1=None:g.inject(xx1).r_trim(Scope.local))], + 'g_V_valuesXnameX_rTrim': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.r_trim())], + 'g_V_valuesXnameX_order_fold_rTrimXlocalX': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().r_trim(Scope.local))], 'g_injectXthat_this_test_nullX_replaceXh_jX': [(lambda g:g.inject('that','this','test',None).replace('h','j'))], 'g_injectXthat_this_test_nullX_fold_replaceXlocal_h_jX': [(lambda g:g.inject('that','this','test',None).fold().replace(Scope.local,'h','j'))], 'g_injectXListXa_bXcX_replaceXa_bX': [(lambda g, xx1=None:g.inject(xx1).replace('a','b'))], - 'g_V_hasLabelXsoftwareX_valueXnameX_replaceXnull_iX': [(lambda g:g.V().hasLabel('software').name.replace(None,'g'))], - 'g_V_hasLabelXsoftwareX_valueXnameX_replaceXa_iX': [(lambda g:g.V().hasLabel('software').name.replace('p','g'))], - 'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_replaceXloacl_a_iX': [(lambda g:g.V().hasLabel('software').name.order().fold().replace(Scope.local,'p','g'))], + 'g_V_hasLabelXsoftwareX_valueXnameX_replaceXnull_iX': [(lambda g:g.V().has_label('software').name.replace(None,'g'))], + 'g_V_hasLabelXsoftwareX_valueXnameX_replaceXa_iX': [(lambda g:g.V().has_label('software').name.replace('p','g'))], + 'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_replaceXloacl_a_iX': [(lambda g:g.V().has_label('software').name.order().fold().replace(Scope.local,'p','g'))], 'g_injectXfeature_test_nullX_reverse': [(lambda g:g.inject('feature','test one',None).reverse())], 'g_V_valuesXnameX_reverse': [(lambda g:g.V().name.reverse())], 'g_V_valuesXageX_reverse': [(lambda g:g.V().age.reverse())], @@ -1088,132 +1088,132 @@ 'g_V_asXaX_out_asXbX_selectXa_bX_byXnameX': [(lambda g:g.V().as_('a').out().as_('b').select('a','b').by('name'))], 'g_V_asXaX_out_aggregateXxX_asXbX_selectXa_bX_byXnameX': [(lambda g:g.V().as_('a').out().aggregate('x').as_('b').select('a','b').by('name'))], 'g_V_asXaX_name_order_asXbX_selectXa_bX_byXnameX_by_XitX': [(lambda g:g.V().as_('a').name.order().as_('b').select('a','b').by('name').by())], - 'g_V_hasXname_gremlinX_inEXusesX_order_byXskill_ascX_asXaX_outV_asXbX_selectXa_bX_byXskillX_byXnameX': [(lambda g:g.V().has('name','gremlin').inE('uses').order().by('skill',Order.asc).as_('a').out_v().as_('b').select('a','b').by('skill').by('name'))], + 'g_V_hasXname_gremlinX_inEXusesX_order_byXskill_ascX_asXaX_outV_asXbX_selectXa_bX_byXskillX_byXnameX': [(lambda g:g.V().has('name','gremlin').in_e('uses').order().by('skill',Order.asc).as_('a').out_v().as_('b').select('a','b').by('skill').by('name'))], 'g_V_hasXname_isXmarkoXX_asXaX_selectXaX': [(lambda g:g.V().has('name',__.is_('marko')).as_('a').select('a'))], - 'g_V_label_groupCount_asXxX_selectXxX': [(lambda g:g.V().label().groupCount().as_('x').select('x'))], - 'g_V_hasLabelXpersonX_asXpX_mapXbothE_label_groupCountX_asXrX_selectXp_rX': [(lambda g:g.V().hasLabel('person').as_('p').map(__.bothE().label().groupCount()).as_('r').select('p','r'))], - 'g_V_chooseXoutE_count_isX0X__asXaX__asXbXX_chooseXselectXaX__selectXaX__selectXbXX': [(lambda g, xx1=None:g.V().choose(__.outE().count().is_(xx1),__.as_('a'),__.as_('b')).choose(__.select('a'),__.select('a'),__.select('b')))], + 'g_V_label_groupCount_asXxX_selectXxX': [(lambda g:g.V().label().group_count().as_('x').select('x'))], + 'g_V_hasLabelXpersonX_asXpX_mapXbothE_label_groupCountX_asXrX_selectXp_rX': [(lambda g:g.V().has_label('person').as_('p').map(__.both_e().label().group_count()).as_('r').select('p','r'))], + 'g_V_chooseXoutE_count_isX0X__asXaX__asXbXX_chooseXselectXaX__selectXaX__selectXbXX': [(lambda g, xx1=None:g.V().choose(__.out_e().count().is_(xx1),__.as_('a'),__.as_('b')).choose(__.select('a'),__.select('a'),__.select('b')))], 'g_VX1X_groupXaX_byXconstantXaXX_byXnameX_selectXaX_selectXaX': [(lambda g, vid1=None:g.V(vid1).group('a').by(__.constant('a')).by(__.name).barrier().select('a').select('a'))], 'g_VX1X_asXhereX_out_selectXhereX': [(lambda g, vid1=None:g.V(vid1).as_('here').out().select('here'))], 'g_VX4X_out_asXhereX_hasXlang_javaX_selectXhereX': [(lambda g, vid4=None:g.V(vid4).as_('here').out().select('here'))], 'g_VX4X_out_asXhereX_hasXlang_javaX_selectXhereX_name': [(lambda g, vid4=None:g.V(vid4).out().as_('here').has('lang','java').select('here').name)], - 'g_VX1X_outE_asXhereX_inV_hasXname_vadasX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).outE().as_('here').in_v().has('name','vadas').select('here'))], - 'g_VX1X_outEXknowsX_hasXweight_1X_asXhereX_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).outE('knows').has('weight',float(1.0)).as_('here').in_v().has('name','josh').select('here'))], - 'g_VX1X_outEXknowsX_asXhereX_hasXweight_1X_asXfakeX_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).outE('knows').as_('here').has('weight',float(1.0)).as_('fake').in_v().has('name','josh').select('here'))], + 'g_VX1X_outE_asXhereX_inV_hasXname_vadasX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).out_e().as_('here').in_v().has('name','vadas').select('here'))], + 'g_VX1X_outEXknowsX_hasXweight_1X_asXhereX_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).out_e('knows').has('weight',float(1.0)).as_('here').in_v().has('name','josh').select('here'))], + 'g_VX1X_outEXknowsX_asXhereX_hasXweight_1X_asXfakeX_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).out_e('knows').as_('here').has('weight',float(1.0)).as_('fake').in_v().has('name','josh').select('here'))], 'g_V_asXhereXout_name_selectXhereX': [(lambda g:g.V().as_('here').out().name.select('here'))], - 'g_V_outXcreatedX_unionXasXprojectX_inXcreatedX_hasXname_markoX_selectXprojectX__asXprojectX_inXcreatedX_inXknowsX_hasXname_markoX_selectXprojectXX_groupCount_byXnameX': [(lambda g:g.V().out('created').union(__.as_('project').in_('created').has('name','marko').select('project'),__.as_('project').in_('created').in_('knows').has('name','marko').select('project')).groupCount().by('name'))], + 'g_V_outXcreatedX_unionXasXprojectX_inXcreatedX_hasXname_markoX_selectXprojectX__asXprojectX_inXcreatedX_inXknowsX_hasXname_markoX_selectXprojectXX_groupCount_byXnameX': [(lambda g:g.V().out('created').union(__.as_('project').in_('created').has('name','marko').select('project'),__.as_('project').in_('created').in_('knows').has('name','marko').select('project')).group_count().by('name'))], 'g_V_untilXout_outX_repeatXin_asXaXX_selectXaX_byXtailXlocalX_nameX': [(lambda g:g.V().until(__.out().out()).repeat(__.in_().as_('a')).select('a').by(__.tail(Scope.local).name))], - 'g_V_outE_weight_groupCount_selectXkeysX_unfold': [(lambda g:g.V().outE().weight.groupCount().select(Column.keys).unfold())], - 'g_V_hasLabelXsoftwareX_asXnameX_asXlanguageX_asXcreatorsX_selectXname_language_creatorsX_byXnameX_byXlangX_byXinXcreatedX_name_fold_orderXlocalXX': [(lambda g:g.V().hasLabel('software').as_('name').as_('language').as_('creators').select('name','language','creators').by('name').by('lang').by(__.in_('created').name.fold().order(Scope.local)))], - 'g_V_outE_weight_groupCount_unfold_selectXkeysX_unfold': [(lambda g:g.V().outE().weight.groupCount().unfold().select(Column.keys).unfold())], - 'g_V_outE_weight_groupCount_unfold_selectXvaluesX_unfold': [(lambda g:g.V().outE().weight.groupCount().unfold().select(Column.values).unfold())], + 'g_V_outE_weight_groupCount_selectXkeysX_unfold': [(lambda g:g.V().out_e().weight.group_count().select(Column.keys).unfold())], + 'g_V_hasLabelXsoftwareX_asXnameX_asXlanguageX_asXcreatorsX_selectXname_language_creatorsX_byXnameX_byXlangX_byXinXcreatedX_name_fold_orderXlocalXX': [(lambda g:g.V().has_label('software').as_('name').as_('language').as_('creators').select('name','language','creators').by('name').by('lang').by(__.in_('created').name.fold().order(Scope.local)))], + 'g_V_outE_weight_groupCount_unfold_selectXkeysX_unfold': [(lambda g:g.V().out_e().weight.group_count().unfold().select(Column.keys).unfold())], + 'g_V_outE_weight_groupCount_unfold_selectXvaluesX_unfold': [(lambda g:g.V().out_e().weight.group_count().unfold().select(Column.values).unfold())], 'g_V_untilXout_outX_repeatXin_asXaX_in_asXbXX_selectXa_bX_byXnameX': [(lambda g:g.V().until(__.out().out()).repeat(__.in_().as_('a').in_().as_('b')).select('a','b').by('name'))], - 'g_V_outE_weight_groupCount_selectXvaluesX_unfold': [(lambda g:g.V().outE().weight.groupCount().select(Column.values).unfold())], + 'g_V_outE_weight_groupCount_selectXvaluesX_unfold': [(lambda g:g.V().out_e().weight.group_count().select(Column.values).unfold())], 'g_V_asXaX_whereXoutXknowsXX_selectXaX': [(lambda g:g.V().as_('a').where(__.out('knows')).select('a'))], 'g_VX1X_asXaX_repeatXout_asXaXX_timesX2X_selectXfirst_aX': [(lambda g, vid1=None:g.V(vid1).as_('a').repeat(__.out().as_('a')).times(2).select(Pop.first,'a'))], 'g_V_asXaX_outXknowsX_asXbX_localXselectXa_bX_byXnameXX': [(lambda g:g.V().as_('a').out('knows').as_('b').local(__.select('a','b').by('name')))], 'g_VX1X_asXaX_repeatXout_asXaXX_timesX2X_selectXlast_aX': [(lambda g, vid1=None:g.V(vid1).as_('a').repeat(__.out().as_('a')).times(2).select(Pop.last,'a'))], - 'g_VX1X_outEXknowsX_asXhereX_hasXweight_1X_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).outE('knows').as_('here').has('weight',float(1.0)).in_v().has('name','josh').select('here'))], + 'g_VX1X_outEXknowsX_asXhereX_hasXweight_1X_inV_hasXname_joshX_selectXhereX': [(lambda g, vid1=None:g.V(vid1).out_e('knows').as_('here').has('weight',float(1.0)).in_v().has('name','josh').select('here'))], 'g_V_asXaX_hasXname_markoX_asXbX_asXcX_selectXa_b_cX_by_byXnameX_byXageX': [(lambda g:g.V().as_('a').has('name','marko').as_('b').as_('c').select('a','b','c').by().by('name').by('age'))], - 'g_V_outE_weight_groupCount_selectXvaluesX_unfold_groupCount_selectXvaluesX_unfold': [(lambda g:g.V().outE().weight.groupCount().select(Column.values).unfold().groupCount().select(Column.values).unfold())], - 'g_V_asXaX_groupXmX_by_byXbothE_countX_barrier_selectXmX_selectXselectXaXX': [(lambda g:g.V().as_('a').group('m').by().by(__.bothE().count()).barrier().select('m').select(__.select('a')))], - 'g_V_asXaX_groupXmX_by_byXbothE_countX_barrier_selectXmX_selectXselectXaXX_byXmathX_plus_XX': [(lambda g:g.V().as_('a').group('m').by().by(__.bothE().count()).barrier().select('m').select(__.select('a')).by(__.math('_+_')))], + 'g_V_outE_weight_groupCount_selectXvaluesX_unfold_groupCount_selectXvaluesX_unfold': [(lambda g:g.V().out_e().weight.group_count().select(Column.values).unfold().group_count().select(Column.values).unfold())], + 'g_V_asXaX_groupXmX_by_byXbothE_countX_barrier_selectXmX_selectXselectXaXX': [(lambda g:g.V().as_('a').group('m').by().by(__.both_e().count()).barrier().select('m').select(__.select('a')))], + 'g_V_asXaX_groupXmX_by_byXbothE_countX_barrier_selectXmX_selectXselectXaXX_byXmathX_plus_XX': [(lambda g:g.V().as_('a').group('m').by().by(__.both_e().count()).barrier().select('m').select(__.select('a')).by(__.math('_+_')))], 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g:g.V().has('name','marko').shortestPath().with_('~tinkerpop.shortestPath.target',__.hasLabel('software')))], - 'g_V_hasXname_markoX_shortestPath_targetXhasXname_joshXX_distanceXweightX': [(lambda g:g.V().has('name','marko').shortestPath().with_('~tinkerpop.shortestPath.target',__.has('name','josh')).with_('~tinkerpop.shortestPath.distance','weight'))], - 'g_V_hasXname_danielX_shortestPath_targetXhasXname_stephenXX_edgesXbothEXusesXX': [(lambda g:g.V().has('name','daniel').shortestPath().with_('~tinkerpop.shortestPath.target',__.has('name','stephen')).with_('~tinkerpop.shortestPath.edges',__.bothE('uses')))], - 'g_V_hasXsong_name_MIGHT_AS_WELLX_shortestPath_targetXhasXsong_name_MAYBE_YOU_KNOW_HOW_I_FEELXX_edgesXoutEXfollowedByXX_distanceXweightX': [(lambda g:g.V().has('song','name','MIGHT AS WELL').shortestPath().with_('~tinkerpop.shortestPath.target',__.has('song','name','MAYBE YOU KNOW HOW I 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g:g.V().has_label('person').name.order().fold().split(Scope.local,'a').unfold())], 'g_injectXthat_this_testX_substringX1_8X': [(lambda g:g.inject('test','hello world',None).substring(1,8))], 'g_injectXListXa_bXcX_substringX1_2X': [(lambda g, xx1=None:g.inject(xx1).substring(1,2))], - 'g_V_hasLabelXpersonX_valueXnameX_substringX2X': [(lambda g:g.V().hasLabel('software').name.substring(2))], - 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_4X': [(lambda g:g.V().hasLabel('software').name.substring(1,4))], - 'g_V_hasLabelXpersonX_valueXnameX_order_fold_substringXlocal_2X': [(lambda g:g.V().hasLabel('software').name.order().fold().substring(Scope.local,2))], - 'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_substringXlocal_1_4X': [(lambda g:g.V().hasLabel('software').name.order().fold().substring(Scope.local,1,4))], - 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_0X': [(lambda g:g.V().hasLabel('software').name.substring(1,0))], - 'g_V_hasLabelXpersonX_valueXnameX_substringXneg3X': [(lambda g:g.V().hasLabel('person').name.substring(-3))], - 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_neg1X': [(lambda g:g.V().hasLabel('software').name.substring(1,-1))], - 'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg4_2X': [(lambda g:g.V().hasLabel('software').name.substring(-4,2))], - 'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg3_neg1X': [(lambda g:g.V().hasLabel('software').name.substring(-3,-1))], + 'g_V_hasLabelXpersonX_valueXnameX_substringX2X': [(lambda g:g.V().has_label('software').name.substring(2))], + 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_4X': [(lambda g:g.V().has_label('software').name.substring(1,4))], + 'g_V_hasLabelXpersonX_valueXnameX_order_fold_substringXlocal_2X': [(lambda g:g.V().has_label('software').name.order().fold().substring(Scope.local,2))], + 'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_substringXlocal_1_4X': [(lambda g:g.V().has_label('software').name.order().fold().substring(Scope.local,1,4))], + 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_0X': [(lambda g:g.V().has_label('software').name.substring(1,0))], + 'g_V_hasLabelXpersonX_valueXnameX_substringXneg3X': [(lambda g:g.V().has_label('person').name.substring(-3))], + 'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_neg1X': [(lambda g:g.V().has_label('software').name.substring(1,-1))], + 'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg4_2X': [(lambda g:g.V().has_label('software').name.substring(-4,2))], + 'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg3_neg1X': [(lambda g:g.V().has_label('software').name.substring(-3,-1))], 'g_V_age_sum': [(lambda g:g.V().age.sum_())], 'g_V_foo_sum': [(lambda g:g.V().foo.sum_())], 'g_V_age_fold_sumXlocalX': [(lambda g:g.V().age.fold().sum_(Scope.local))], 'g_V_foo_fold_sumXlocalX': [(lambda g:g.V().foo.fold().sum_(Scope.local))], - 'g_V_hasLabelXsoftwareX_group_byXnameX_byXbothE_weight_sumX': [(lambda g:g.V().hasLabel('software').group().by('name').by(__.bothE().weight.sum_()))], + 'g_V_hasLabelXsoftwareX_group_byXnameX_byXbothE_weight_sumX': [(lambda g:g.V().has_label('software').group().by('name').by(__.both_e().weight.sum_()))], 'g_V_aggregateXaX_byXageX_sumXlocalX': [(lambda g:g.V().aggregate('a').by('age').cap('a').sum_(Scope.local))], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_sumXlocalX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').sum_(Scope.local))], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_sumXlocalX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').sum_(Scope.local))], 'g_V_aggregateXaX_byXageX_capXaX_unfold_sum': [(lambda g:g.V().aggregate('a').by('age').cap('a').unfold().sum_())], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_capXaX_unfold_sum': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').unfold().sum_())], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_capXaX_unfold_sum': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('age').cap('a').unfold().sum_())], 'g_V_aggregateXaX_byXfooX_sumXlocalX': [(lambda g:g.V().aggregate('a').by('foo').cap('a').sum_(Scope.local))], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_sumXlocalX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').sum_(Scope.local))], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_sumXlocalX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').sum_(Scope.local))], 'g_V_aggregateXaX_byXfooX_capXaX_unfold_sum': [(lambda g:g.V().aggregate('a').by('foo').cap('a').unfold().sum_())], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_capXaX_unfold_sum': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').unfold().sum_())], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_capXaX_unfold_sum': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('a').by('foo').cap('a').unfold().sum_())], 'g_injectXnull_10_5_nullX_sum': [(lambda g, xx1=None,xx2=None:g.inject(None,xx1,xx2,None).sum_())], 'g_injectXlistXnull_10_5_nullXX_sumXlocalX': [(lambda g, xx1=None:g.inject(xx1).sum_(Scope.local))], 'g_VX1X_valuesXageX_sumXlocalX': [(lambda g, vid1=None:g.V(vid1).age.sum_(Scope.local))], - 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_sumXlocalX': [(lambda g:g.V().local(__.union(__.age,__.outE().weight).fold()).sum_(Scope.local))], + 'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_sumXlocalX': [(lambda g:g.V().local(__.union(__.age,__.out_e().weight).fold()).sum_(Scope.local))], 'g_injectXfeature_test_nullX_toLower': [(lambda g:g.inject('FEATURE','tESt',None).to_lower())], 'g_injectXfeature_test_nullX_toLowerXlocalX': [(lambda g, xx1=None:g.inject(xx1).to_lower(Scope.local))], 'g_injectXListXa_bXX_toLower': [(lambda g, xx1=None:g.inject(xx1).to_lower())], - 'g_V_valuesXnameX_toLower': [(lambda g:g.addV('person').property('name','MARKO').property('age',29).as_('marko').addV('person').property('name','VADAS').property('age',27).as_('vadas').addV('software').property('name','LOP').property('lang','java').as_('lop').addV('person').property('name','JOSH').property('age',32).as_('josh').addV('software').property('name','RIPPLE').property('lang','java').as_('ripple').addV('person').property('name','PETER').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.to_lower())], - 'g_V_valuesXnameX_toLowerXlocalX': [(lambda g:g.addV('person').property('name','MARKO').property('age',29).as_('marko').addV('person').property('name','VADAS').property('age',27).as_('vadas').addV('software').property('name','LOP').property('lang','java').as_('lop').addV('person').property('name','JOSH').property('age',32).as_('josh').addV('software').property('name','RIPPLE').property('lang','java').as_('ripple').addV('person').property('name','PETER').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.to_lower(Scope.local))], - 'g_V_valuesXnameX_order_fold_toLowerXlocalX': [(lambda g:g.addV('person').property('name','MARKO').property('age',29).as_('marko').addV('person').property('name','VADAS').property('age',27).as_('vadas').addV('software').property('name','LOP').property('lang','java').as_('lop').addV('person').property('name','JOSH').property('age',32).as_('josh').addV('software').property('name','RIPPLE').property('lang','java').as_('ripple').addV('person').property('name','PETER').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().to_lower(Scope.local))], + 'g_V_valuesXnameX_toLower': [(lambda g:g.add_v('person').property('name','MARKO').property('age',29).as_('marko').add_v('person').property('name','VADAS').property('age',27).as_('vadas').add_v('software').property('name','LOP').property('lang','java').as_('lop').add_v('person').property('name','JOSH').property('age',32).as_('josh').add_v('software').property('name','RIPPLE').property('lang','java').as_('ripple').add_v('person').property('name','PETER').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.to_lower())], + 'g_V_valuesXnameX_toLowerXlocalX': [(lambda g:g.add_v('person').property('name','MARKO').property('age',29).as_('marko').add_v('person').property('name','VADAS').property('age',27).as_('vadas').add_v('software').property('name','LOP').property('lang','java').as_('lop').add_v('person').property('name','JOSH').property('age',32).as_('josh').add_v('software').property('name','RIPPLE').property('lang','java').as_('ripple').add_v('person').property('name','PETER').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.to_lower(Scope.local))], + 'g_V_valuesXnameX_order_fold_toLowerXlocalX': [(lambda g:g.add_v('person').property('name','MARKO').property('age',29).as_('marko').add_v('person').property('name','VADAS').property('age',27).as_('vadas').add_v('software').property('name','LOP').property('lang','java').as_('lop').add_v('person').property('name','JOSH').property('age',32).as_('josh').add_v('software').property('name','RIPPLE').property('lang','java').as_('ripple').add_v('person').property('name','PETER').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().to_lower(Scope.local))], 'g_injectXfeature_test_nullX_toUpper': [(lambda g:g.inject('feature','tESt',None).to_upper())], 'g_injectXfeature_test_nullX_toUpperXlocalX': [(lambda g, xx1=None:g.inject(xx1).to_upper(Scope.local))], 'g_injectXfeature_test_nullX_asString_toUpper': [(lambda g:g.inject('feature','tESt',None).as_string().to_upper())], @@ -1225,25 +1225,25 @@ 'g_injectX__feature___test__nullX_trimXlocalX': [(lambda g:g.inject([' feature ',' one test ',None,'',' ','　abc','abc　','　abc　','　　']).trim(Scope.local))], 'g_injectXListXa_bXX_trim': [(lambda g, xx1=None:g.inject(xx1).trim())], 'g_injectXListX1_2XX_trimXlocalX': [(lambda g, xx1=None:g.inject(xx1).trim(Scope.local))], - 'g_V_valuesXnameX_trim': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.trim())], - 'g_V_valuesXnameX_order_fold_trimXlocalX': [(lambda g:g.addV('person').property('name',' marko ').property('age',29).as_('marko').addV('person').property('name',' vadas ').property('age',27).as_('vadas').addV('software').property('name',' lop').property('lang','java').as_('lop').addV('person').property('name','josh ').property('age',32).as_('josh').addV('software').property('name',' ripple ').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().trim(Scope.local))], - 'g_V_localXoutE_foldX_unfold': [(lambda g:g.V().local(__.outE().fold()).unfold())], - 'g_V_valueMap_unfold_mapXkeyX': [(lambda g, l1=None:g.V().valueMap().unfold().map(l1))], - 'g_VX1X_repeatXboth_simplePathX_untilXhasIdX6XX_path_byXnameX_unfold': [(lambda g, vid6=None,vid1=None:g.V(vid1).repeat(__.both().simplePath()).until(__.hasId(vid6)).path().by('name').unfold())], - 'g_V_valueMap': [(lambda g:g.V().valueMap())], - 'g_V_valueMapXtrueX': [(lambda g:g.V().valueMap(True))], - 'g_V_valueMap_withXtokensX': [(lambda g:g.V().valueMap().with_('~tinkerpop.valueMap.tokens'))], - 'g_V_valueMapXname_ageX': [(lambda g:g.V().valueMap('name','age'))], - 'g_V_valueMapXtrue_name_ageX': [(lambda g:g.V().valueMap(True,'name','age'))], - 'g_V_valueMapXname_ageX_withXtokensX': [(lambda g:g.V().valueMap('name','age').with_('~tinkerpop.valueMap.tokens'))], - 'g_V_valueMapXname_ageX_withXtokens_labelsX_byXunfoldX': [(lambda g:g.V().valueMap('name','age').with_('~tinkerpop.valueMap.tokens',2).by(__.unfold()))], - 'g_V_valueMapXname_ageX_withXtokens_idsX_byXunfoldX': [(lambda g:g.V().valueMap('name','age').with_('~tinkerpop.valueMap.tokens',1).by(__.unfold()))], - 'g_VX1X_outXcreatedX_valueMap': [(lambda g, vid1=None:g.V(vid1).out('created').valueMap())], - 'g_V_hasLabelXpersonX_filterXoutEXcreatedXX_valueMapXtrueX': [(lambda g:g.V().hasLabel('person').filter_(__.outE('created')).valueMap(True))], - 'g_V_hasLabelXpersonX_filterXoutEXcreatedXX_valueMap_withXtokensX': [(lambda g:g.V().hasLabel('person').filter_(__.outE('created')).valueMap().with_('~tinkerpop.valueMap.tokens'))], - 'g_VX1X_valueMapXname_locationX_byXunfoldX_by': [(lambda g, vid1=None:g.V(vid1).valueMap('name','location').by(__.unfold()).by())], - 'g_V_valueMapXname_age_nullX': [(lambda g:g.V().valueMap('name','age',None))], - 'g_V_valueMapXname_ageX_byXisXxXXbyXunfoldX': [(lambda g:g.V().valueMap('name','age').by(__.is_('x')).by(__.unfold()))], + 'g_V_valuesXnameX_trim': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.trim())], + 'g_V_valuesXnameX_order_fold_trimXlocalX': [(lambda g:g.add_v('person').property('name',' marko ').property('age',29).as_('marko').add_v('person').property('name',' vadas ').property('age',27).as_('vadas').add_v('software').property('name',' lop').property('lang','java').as_('lop').add_v('person').property('name','josh ').property('age',32).as_('josh').add_v('software').property('name',' ripple ').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g:g.V().name.order().fold().trim(Scope.local))], + 'g_V_localXoutE_foldX_unfold': [(lambda g:g.V().local(__.out_e().fold()).unfold())], + 'g_V_valueMap_unfold_mapXkeyX': [(lambda g, l1=None:g.V().value_map().unfold().map(l1))], + 'g_VX1X_repeatXboth_simplePathX_untilXhasIdX6XX_path_byXnameX_unfold': [(lambda g, vid6=None,vid1=None:g.V(vid1).repeat(__.both().simple_path()).until(__.has_id(vid6)).path().by('name').unfold())], + 'g_V_valueMap': [(lambda g:g.V().value_map())], + 'g_V_valueMapXtrueX': [(lambda g:g.V().value_map(True))], + 'g_V_valueMap_withXtokensX': [(lambda g:g.V().value_map().with_('~tinkerpop.valueMap.tokens'))], + 'g_V_valueMapXname_ageX': [(lambda g:g.V().value_map('name','age'))], + 'g_V_valueMapXtrue_name_ageX': [(lambda g:g.V().value_map(True,'name','age'))], + 'g_V_valueMapXname_ageX_withXtokensX': [(lambda g:g.V().value_map('name','age').with_('~tinkerpop.valueMap.tokens'))], + 'g_V_valueMapXname_ageX_withXtokens_labelsX_byXunfoldX': [(lambda g:g.V().value_map('name','age').with_('~tinkerpop.valueMap.tokens',2).by(__.unfold()))], + 'g_V_valueMapXname_ageX_withXtokens_idsX_byXunfoldX': [(lambda g:g.V().value_map('name','age').with_('~tinkerpop.valueMap.tokens',1).by(__.unfold()))], + 'g_VX1X_outXcreatedX_valueMap': [(lambda g, vid1=None:g.V(vid1).out('created').value_map())], + 'g_V_hasLabelXpersonX_filterXoutEXcreatedXX_valueMapXtrueX': [(lambda g:g.V().has_label('person').filter_(__.out_e('created')).value_map(True))], + 'g_V_hasLabelXpersonX_filterXoutEXcreatedXX_valueMap_withXtokensX': [(lambda g:g.V().has_label('person').filter_(__.out_e('created')).value_map().with_('~tinkerpop.valueMap.tokens'))], + 'g_VX1X_valueMapXname_locationX_byXunfoldX_by': [(lambda g, vid1=None:g.V(vid1).value_map('name','location').by(__.unfold()).by())], + 'g_V_valueMapXname_age_nullX': [(lambda g:g.V().value_map('name','age',None))], + 'g_V_valueMapXname_ageX_byXisXxXXbyXunfoldX': [(lambda g:g.V().value_map('name','age').by(__.is_('x')).by(__.unfold()))], 'g_VXnullX': [(lambda g:g.V(None))], 'g_VXlistXnullXX': [(lambda g, xx1=None:g.V(xx1))], 'g_VX1_nullX': [(lambda g, vid1=None:g.V(vid1,None))], @@ -1263,33 +1263,33 @@ 'g_EXnullX': [(lambda g:g.E(None))], 'g_EXlistXnullXX': [(lambda g, xx1=None:g.E(xx1))], 'g_EX11_nullX': [(lambda g, eid11=None:g.E(eid11,None))], - 'g_VX1X_outE': [(lambda g, vid1=None:g.V(vid1).outE())], - 'g_VX2X_outE': [(lambda g, vid2=None:g.V(vid2).inE())], - 'g_VX4X_bothEXcreatedX': [(lambda g, vid4=None:g.V(vid4).bothE('created'))], - 'g_VX4X_bothE': [(lambda g, vid4=None:g.V(vid4).bothE())], + 'g_VX1X_outE': [(lambda g, vid1=None:g.V(vid1).out_e())], + 'g_VX2X_outE': [(lambda g, vid2=None:g.V(vid2).in_e())], + 'g_VX4X_bothEXcreatedX': [(lambda g, vid4=None:g.V(vid4).both_e('created'))], + 'g_VX4X_bothE': [(lambda g, vid4=None:g.V(vid4).both_e())], 'g_VX1X_outE_inV': [(lambda g, vid1=None:g.V(vid1).both())], - 'g_VX2X_inE_outV': [(lambda g, vid2=None:g.V(vid2).inE().out_v())], - 'g_V_outE_hasXweight_1X_outV': [(lambda g:g.V().outE().has('weight',float(1.0)).out_v())], - 'g_V_out_outE_inV_inE_inV_both_name': [(lambda g:g.V().out().outE().in_v().inE().in_v().both().name)], - 'g_VX1X_outEXknowsX_bothV_name': [(lambda g, vid1=None:g.V(vid1).outE('knows').bothV().name)], - 'g_VX1X_outE_otherV': [(lambda g, vid1=None:g.V(vid1).outE().otherV())], - 'g_VX4X_bothE_otherV': [(lambda g, vid4=None:g.V(vid4).bothE().otherV())], - 'g_VX4X_bothE_hasXweight_lt_1X_otherV': [(lambda g, vid4=None:g.V(vid4).bothE().has('weight',P.lt(float(1.0))).otherV())], - 'g_VX2X_inE': [(lambda g, vid2=None:g.V(vid2).bothE())], - 'get_g_VX1X_outE_otherV': [(lambda g, vid1=None:g.V(vid1).outE().otherV())], + 'g_VX2X_inE_outV': [(lambda g, vid2=None:g.V(vid2).in_e().out_v())], + 'g_V_outE_hasXweight_1X_outV': [(lambda g:g.V().out_e().has('weight',float(1.0)).out_v())], + 'g_V_out_outE_inV_inE_inV_both_name': [(lambda g:g.V().out().out_e().in_v().in_e().in_v().both().name)], + 'g_VX1X_outEXknowsX_bothV_name': [(lambda g, vid1=None:g.V(vid1).out_e('knows').both_v().name)], + 'g_VX1X_outE_otherV': [(lambda g, vid1=None:g.V(vid1).out_e().other_v())], + 'g_VX4X_bothE_otherV': [(lambda g, vid4=None:g.V(vid4).both_e().other_v())], + 'g_VX4X_bothE_hasXweight_lt_1X_otherV': [(lambda g, vid4=None:g.V(vid4).both_e().has('weight',P.lt(float(1.0))).other_v())], + 'g_VX2X_inE': [(lambda g, vid2=None:g.V(vid2).both_e())], + 'get_g_VX1X_outE_otherV': [(lambda g, vid1=None:g.V(vid1).out_e().other_v())], 'g_VX1X_outXknowsX': [(lambda g, vid1=None:g.V(vid1).out('knows'))], 'g_VX1AsStringX_outXknowsX': [(lambda g, vid1=None:g.V(vid1).out('knows'))], 'g_VX1X_outXknows_createdX': [(lambda g, vid1=None:g.V(vid1).out('knows','created'))], - 'g_VX1X_outEXknowsX_inV': [(lambda g, vid1=None:g.V(vid1).outE('knows').in_v())], - 'g_VX1X_outEXknows_createdX_inV': [(lambda g, vid1=None:g.V(vid1).outE('knows','created').in_v())], + 'g_VX1X_outEXknowsX_inV': [(lambda g, vid1=None:g.V(vid1).out_e('knows').in_v())], + 'g_VX1X_outEXknows_createdX_inV': [(lambda g, vid1=None:g.V(vid1).out_e('knows','created').in_v())], 'g_V_out_out': [(lambda g:g.V().out().out())], 'g_VX1X_out_out_out': [(lambda g, vid1=None:g.V(vid1).out().out().out())], 'g_VX1X_out_name': [(lambda g, vid1=None:g.V(vid1).out().name)], 'g_VX1X_to_XOUT_knowsX': [(lambda g, vid1=None:g.V(vid1).to(Direction.OUT,'knows'))], - 'g_VX1_2_3_4X_name': [(lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.addV('person').property('name','marko').property('age',29).as_('marko').addV('person').property('name','vadas').property('age',27).as_('vadas').addV('software').property('name','lop').property('lang','java').as_('lop').addV('person').property('name','josh').property('age',32).as_('josh').addV('software').property('name','ripple').property('lang','java').as_('ripple').addV('person').property('name','peter').property('age',35).as_('peter').addE('knows').from_('marko').to('vadas').property('weight',float(0.5)).addE('knows').from_('marko').to('josh').property('weight',float(1.0)).addE('created').from_('marko').to('lop').property('weight',float(0.4)).addE('created').from_('josh').to('ripple').property('weight',float(1.0)).addE('created').from_('josh').to('lop').property('weight',float(0.4)).addE('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.V().has('software','name','lop').drop()), (lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.V(vid1,vid2,vid3,vid4))], - 'g_V_hasLabelXpersonX_V_hasLabelXsoftwareX_name': [(lambda g:g.V().hasLabel('person').V().hasLabel('software').name)], - 'g_V_hasLabelXloopsX_bothEXselfX': [(lambda g:g.V().hasLabel('loops').bothE('self'))], - 'g_V_hasLabelXloopsX_bothXselfX': [(lambda g:g.V().hasLabel('loops').both('self'))], + 'g_VX1_2_3_4X_name': [(lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.add_v('person').property('name','marko').property('age',29).as_('marko').add_v('person').property('name','vadas').property('age',27).as_('vadas').add_v('software').property('name','lop').property('lang','java').as_('lop').add_v('person').property('name','josh').property('age',32).as_('josh').add_v('software').property('name','ripple').property('lang','java').as_('ripple').add_v('person').property('name','peter').property('age',35).as_('peter').add_e('knows').from_('marko').to('vadas').property('weight',float(0.5)).add_e('knows').from_('marko').to('josh').property('weight',float(1.0)).add_e('created').from_('marko').to('lop').property('weight',float(0.4)).add_e('created').from_('josh').to('ripple').property('weight',float(1.0)).add_e('created').from_('josh').to('lop').property('weight',float(0.4)).add_e('created').from_('peter').to('lop').property('weight',float(0.2))), (lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.V().has('software','name','lop').drop()), (lambda g, vid4=None,vid3=None,vid2=None,vid1=None:g.V(vid1,vid2,vid3,vid4))], + 'g_V_hasLabelXpersonX_V_hasLabelXsoftwareX_name': [(lambda g:g.V().has_label('person').V().has_label('software').name)], + 'g_V_hasLabelXloopsX_bothEXselfX': [(lambda g:g.V().has_label('loops').both_e('self'))], + 'g_V_hasLabelXloopsX_bothXselfX': [(lambda g:g.V().has_label('loops').both('self'))], 'g_injectX1X_VXnullX': [(lambda g:g.inject(1).V(None))], 'g_injectX1X_VX1_nullX': [(lambda g, vid1=None:g.inject(1).V(vid1,None))], 'InjectXnullX_eqXnullX': [(lambda g:g.inject(None).is_(P.eq(None)))], @@ -1399,10 +1399,10 @@ 'g_V_out_out_order_byXdescX': [(lambda g:g.V().out().out().order().by(Order.desc))], 'g_V_out_out_asXheadX_path_order_byXascX_selectXheadX': [(lambda g:g.V().out().out().as_('head').path().order().by(Order.asc).select('head'))], 'g_V_out_out_asXheadX_path_order_byXdescX_selectXheadX': [(lambda g:g.V().out().out().as_('head').path().order().by(Order.desc).select('head'))], - 'g_V_out_outE_order_byXascX': [(lambda g:g.V().out().outE().order().by(Order.asc))], - 'g_V_out_outE_order_byXdescX': [(lambda g:g.V().out().outE().order().by(Order.desc))], - 'g_V_out_outE_asXheadX_path_order_byXascX_selectXheadX': [(lambda g:g.V().out().outE().as_('head').path().order().by(Order.asc).select('head'))], - 'g_V_out_outE_asXheadX_path_order_byXdescX_selectXheadX': [(lambda g:g.V().out().outE().as_('head').path().order().by(Order.desc).select('head'))], + 'g_V_out_outE_order_byXascX': [(lambda g:g.V().out().out_e().order().by(Order.asc))], + 'g_V_out_outE_order_byXdescX': [(lambda g:g.V().out().out_e().order().by(Order.desc))], + 'g_V_out_outE_asXheadX_path_order_byXascX_selectXheadX': [(lambda g:g.V().out().out_e().as_('head').path().order().by(Order.asc).select('head'))], + 'g_V_out_outE_asXheadX_path_order_byXdescX_selectXheadX': [(lambda g:g.V().out().out_e().as_('head').path().order().by(Order.desc).select('head'))], 'g_V_out_out_properties_asXheadX_path_order_byXascX_selectXheadX_value': [(lambda g:g.V().out().out().properties().as_('head').path().order().by(Order.asc).select('head').value())], 'g_V_out_out_properties_asXheadX_path_order_byXdescX_selectXheadX_value': [(lambda g:g.V().out().out().properties().as_('head').path().order().by(Order.desc).select('head').value())], 'g_V_out_out_values_asXheadX_path_order_byXascX_selectXheadX': [(lambda g:g.V().out().out().values().as_('head').path().order().by(Order.asc).select('head'))], @@ -1411,82 +1411,82 @@ 'g_V_valueXnameX_aggregateXglobal_xX_capXxX': [(lambda g:g.V().name.aggregate(Scope.global_,'x').cap('x'))], 'g_V_aggregateXxX_byXnameX_capXxX': [(lambda g:g.V().aggregate('x').by('name').cap('x'))], 'g_V_out_aggregateXaX_path': [(lambda g:g.V().out().aggregate('a').path())], - 'g_V_hasLabelXpersonX_aggregateXxX_byXageX_capXxX_asXyX_selectXyX': [(lambda g:g.V().hasLabel('person').aggregate('x').by('age').cap('x').as_('y').select('y'))], + 'g_V_hasLabelXpersonX_aggregateXxX_byXageX_capXxX_asXyX_selectXyX': [(lambda g:g.V().has_label('person').aggregate('x').by('age').cap('x').as_('y').select('y'))], 'g_V_aggregateXxX_byXageX_capXxX': [(lambda g:g.V().aggregate('x').by('age').cap('x'))], 'g_V_aggregateXlocal_xX_byXageX_capXxX': [(lambda g:g.V().aggregate(Scope.local,'x').by('age').cap('x'))], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXlocal_xX_byXageX_capXxX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate(Scope.local,'x').by('age').cap('x'))], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXlocal_xX_byXageX_capXxX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate(Scope.local,'x').by('age').cap('x'))], 'g_V_aggregateXlocal_a_nameX_out_capXaX': [(lambda g:g.V().aggregate(Scope.local,'a').by('name').out().cap('a'))], 'g_VX1X_aggregateXlocal_aX_byXnameX_out_aggregateXlocal_aX_byXnameX_name_capXaX': [(lambda g, vid1=None:g.V(vid1).aggregate(Scope.local,'a').by('name').out().aggregate(Scope.local,'a').by('name').name.cap('a'))], - 'g_withSideEffectXa_setX_V_both_name_aggregateXlocal_aX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1).V().both().name.aggregate(Scope.local,'a').cap('a'))], - 'g_V_aggregateXlocal_aX_byXoutEXcreatedX_countX_out_out_aggregateXlocal_aX_byXinEXcreatedX_weight_sumX': [(lambda g:g.V().aggregate(Scope.local,'a').by(__.outE('created').count()).out().out().aggregate(Scope.local,'a').by(__.inE('created').weight.sum_()).cap('a'))], + 'g_withSideEffectXa_setX_V_both_name_aggregateXlocal_aX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1).V().both().name.aggregate(Scope.local,'a').cap('a'))], + 'g_V_aggregateXlocal_aX_byXoutEXcreatedX_countX_out_out_aggregateXlocal_aX_byXinEXcreatedX_weight_sumX': [(lambda g:g.V().aggregate(Scope.local,'a').by(__.out_e('created').count()).out().out().aggregate(Scope.local,'a').by(__.in_e('created').weight.sum_()).cap('a'))], 'g_V_aggregateXxX_byXvaluesXageX_isXgtX29XXX_capXxX': [(lambda g:g.V().aggregate('x').by(__.age.is_(P.gt(29))).cap('x'))], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXxX_byXvaluesXageX_isXgtX29XXX_capXxX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('x').by(__.age.is_(P.gt(29))).cap('x'))], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXxX_byXvaluesXageX_isXgtX29XXX_capXxX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('x').by(__.age.is_(P.gt(29))).cap('x'))], 'g_V_aggregateXxX_byXout_order_byXnameXX_capXxX': [(lambda g:g.V().aggregate('x').by(__.out().order().by('name')).cap('x'))], - 'g_withStrategiesXProductiveByStrategyX_V_aggregateXxX_byXout_order_byXnameXX_capXxX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('x').by(__.out().order().by('name')).cap('x'))], + 'g_withStrategiesXProductiveByStrategyX_V_aggregateXxX_byXout_order_byXnameXX_capXxX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().aggregate('x').by(__.out().order().by('name')).cap('x'))], 'g_V_aggregateXaX_hasXperson_age_gteX30XXX_capXaX_unfold_valuesXnameX': [(lambda g:g.V().aggregate('a').has('person','age',P.gte(30)).cap('a').unfold().name)], - 'g_withSideEffectXa_1_sumX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.sum_).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_1_sumX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.sum_).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_123_minusX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',123,Operator.minus).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_123_minusX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',123,Operator.minus).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_2_multX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',2,Operator.mult).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_2_multX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',2,Operator.mult).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_876960_divX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',876960,Operator.div).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_876960_divX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',876960,Operator.div).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_1_minX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.min_).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_1_minX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.min_).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_100_minX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',100,Operator.min_).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_100_minX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',100,Operator.min_).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_1_maxX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.max_).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_1_maxX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',1,Operator.max_).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_100_maxX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',100,Operator.max_).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_100_maxX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.withSideEffect('a',100,Operator.max_).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_true_andX_V_constantXfalseX_aggregateXaX_capXaX': [(lambda g:g.withSideEffect('a',True,Operator.and_).V().constant(False).aggregate('a').cap('a'))], - 'g_withSideEffectXa_true_andX_V_constantXfalseX_aggregateXlocal_aX_capXaX': [(lambda g:g.withSideEffect('a',True,Operator.and_).V().constant(False).aggregate(Scope.local,'a').cap('a'))], - 'g_withSideEffectXa_true_orX_V_constantXfalseX_aggregateXaX_capXaX': [(lambda g:g.withSideEffect('a',True,Operator.or_).V().constant(False).aggregate('a').cap('a'))], - 'g_withSideEffectXa_true_orX_V_constantXfalseX_aggregateXlocal_aX_capXaX': [(lambda g:g.withSideEffect('a',True,Operator.or_).V().constant(False).aggregate(Scope.local,'a').cap('a'))], - 'g_withSideEffectXa_xx1_addAllX_V_aggregateXaX_byXageX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1,Operator.addAll).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_xx1_addAllX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1,Operator.addAll).V().aggregate(Scope.local,'a').by('age').cap('a'))], - 'g_withSideEffectXa_xx1_assignX_V_aggregateXaX_byXageX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1,Operator.assign).V().aggregate('a').by('age').cap('a'))], - 'g_withSideEffectXa_xx1_assignX_V_order_byXageX_aggregateXlocal_aX_byXageX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1,Operator.assign).V().order().by('age').aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_1_sumX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.sum_).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_1_sumX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.sum_).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_123_minusX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',123,Operator.minus).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_123_minusX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',123,Operator.minus).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_2_multX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',2,Operator.mult).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_2_multX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',2,Operator.mult).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_876960_divX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',876960,Operator.div).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_876960_divX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',876960,Operator.div).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_1_minX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.min_).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_1_minX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.min_).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_100_minX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',100,Operator.min_).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_100_minX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',100,Operator.min_).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_1_maxX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.max_).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_1_maxX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',1,Operator.max_).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_100_maxX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',100,Operator.max_).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_100_maxX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a',100,Operator.max_).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_true_andX_V_constantXfalseX_aggregateXaX_capXaX': [(lambda g:g.with_side_effect('a',True,Operator.and_).V().constant(False).aggregate('a').cap('a'))], + 'g_withSideEffectXa_true_andX_V_constantXfalseX_aggregateXlocal_aX_capXaX': [(lambda g:g.with_side_effect('a',True,Operator.and_).V().constant(False).aggregate(Scope.local,'a').cap('a'))], + 'g_withSideEffectXa_true_orX_V_constantXfalseX_aggregateXaX_capXaX': [(lambda g:g.with_side_effect('a',True,Operator.or_).V().constant(False).aggregate('a').cap('a'))], + 'g_withSideEffectXa_true_orX_V_constantXfalseX_aggregateXlocal_aX_capXaX': [(lambda g:g.with_side_effect('a',True,Operator.or_).V().constant(False).aggregate(Scope.local,'a').cap('a'))], + 'g_withSideEffectXa_xx1_addAllX_V_aggregateXaX_byXageX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1,Operator.add_all).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_xx1_addAllX_V_aggregateXlocal_aX_byXageX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1,Operator.add_all).V().aggregate(Scope.local,'a').by('age').cap('a'))], + 'g_withSideEffectXa_xx1_assignX_V_aggregateXaX_byXageX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1,Operator.assign).V().aggregate('a').by('age').cap('a'))], + 'g_withSideEffectXa_xx1_assignX_V_order_byXageX_aggregateXlocal_aX_byXageX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1,Operator.assign).V().order().by('age').aggregate(Scope.local,'a').by('age').cap('a'))], 'g_V_fail': [(lambda g:g.V().fail())], 'g_V_failXmsgX': [(lambda g:g.V().fail('msg'))], 'g_V_unionXout_failX': [(lambda g:g.V().union(__.out(),__.fail()))], 'g_V_group_byXnameX': [(lambda g:g.V().group().by('name'))], 'g_V_group_byXageX': [(lambda g:g.V().group().by('age'))], - 'g_withStrategiesXProductiveByStrategyX_V_group_byXageX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().group().by('age'))], + 'g_withStrategiesXProductiveByStrategyX_V_group_byXageX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().group().by('age'))], 'g_V_group_byXnameX_byXageX': [(lambda g:g.V().group().by('name').by('age'))], 'g_V_group_byXnameX_by': [(lambda g:g.V().group().by('name').by())], 'g_V_hasXlangX_group_byXlangX_byXcountX': [(lambda g:g.V().has('lang').group().by('lang').by(__.count()))], - 'g_V_group_byXoutE_countX_byXnameX': [(lambda g:g.V().order().by('name').group().by(__.outE().count()).by('name'))], + 'g_V_group_byXoutE_countX_byXnameX': [(lambda g:g.V().order().by('name').group().by(__.out_e().count()).by('name'))], 'g_V_repeatXbothXfollowedByXX_timesX2X_group_byXsongTypeX_byXcountX': [(lambda g:g.V().repeat(__.both('followedBy')).times(2).group().by('songType').by(__.count()))], 'g_V_group_byXname_substring_1X_byXconstantX1XX': [(lambda g, l1=None:g.V().group().by(l1).by(__.constant(1)))], 'g_V_out_group_byXlabelX_selectXpersonX_unfold_outXcreatedX_name_limitX2X': [(lambda g:g.V().out().group().by(T.label).select('person').unfold().out('created').name[0:2])], - 'g_V_hasLabelXsongX_group_byXnameX_byXproperties_groupCount_byXlabelXX': [(lambda g:g.V().hasLabel('song').group().by('name').by(__.properties().groupCount().by(T.label)))], - 'g_V_outXfollowedByX_group_byXsongTypeX_byXbothE_group_byXlabelX_byXweight_sumXX': [(lambda g:g.V().out('followedBy').group().by('songType').by(__.bothE().group().by(T.label).by(__.weight.sum_())))], - 'g_V_group_byXlabelX_byXbothE_groupXaX_byXlabelX_byXweight_sumX_weight_sumX': [(lambda g:g.V().group().by(T.label).by(__.bothE().group('a').by(T.label).by(__.weight.sum_()).weight.sum_()))], - 'g_V_hasLabelXpersonX_asXpX_outXcreatedX_group_byXnameX_byXselectXpX_valuesXageX_sumX': [(lambda g:g.V().hasLabel('person').as_('p').out('created').group().by('name').by(__.select('p').age.sum_()))], + 'g_V_hasLabelXsongX_group_byXnameX_byXproperties_groupCount_byXlabelXX': [(lambda g:g.V().has_label('song').group().by('name').by(__.properties().group_count().by(T.label)))], + 'g_V_outXfollowedByX_group_byXsongTypeX_byXbothE_group_byXlabelX_byXweight_sumXX': [(lambda g:g.V().out('followedBy').group().by('songType').by(__.both_e().group().by(T.label).by(__.weight.sum_())))], + 'g_V_group_byXlabelX_byXbothE_groupXaX_byXlabelX_byXweight_sumX_weight_sumX': [(lambda g:g.V().group().by(T.label).by(__.both_e().group('a').by(T.label).by(__.weight.sum_()).weight.sum_()))], + 'g_V_hasLabelXpersonX_asXpX_outXcreatedX_group_byXnameX_byXselectXpX_valuesXageX_sumX': [(lambda g:g.V().has_label('person').as_('p').out('created').group().by('name').by(__.select('p').age.sum_()))], 'g_V_group_byXlabelX_byXlabel_countX': [(lambda g:g.V().group().by(__.label()).by(__.label().count()))], - 'g_V_outXcreatedX_groupCount_byXnameX': [(lambda g:g.V().out('created').groupCount().by('name'))], - 'g_V_groupCount_byXageX': [(lambda g:g.V().groupCount().by('age'))], - 'g_withStrategiesXProductiveByStrategyX_V_groupCount_byXageX': [(lambda g:g.withStrategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().groupCount().by('age'))], - 'g_V_outXcreatedX_name_groupCount': [(lambda g:g.V().out('created').name.groupCount())], - 'g_V_outXcreatedX_groupCountXaX_byXnameX_capXaX': [(lambda g:g.V().out('created').groupCount('a').by('name').cap('a'))], - 'g_V_outXcreatedX_name_groupCountXaX_capXaX': [(lambda g:g.V().out('created').name.groupCount('a').cap('a'))], - 'g_V_repeatXout_groupCountXaX_byXnameXX_timesX2X_capXaX': [(lambda g:g.V().repeat(__.out().groupCount('a').by('name')).times(2).cap('a'))], - 'g_V_both_groupCountXaX_byXlabelX_asXbX_barrier_whereXselectXaX_selectXsoftwareX_isXgtX2XXX_selectXbX_name': [(lambda g:g.V().both().groupCount('a').by(T.label).as_('b').barrier().where(__.select('a').select('software').is_(P.gt(2))).select('b').name)], - 'g_V_unionXoutXknowsX__outXcreatedX_inXcreatedXX_groupCount_selectXvaluesX_unfold_sum': [(lambda g:g.V().union(__.out('knows'),__.out('created').in_('created')).groupCount().select(Column.values).unfold().sum_())], - 'g_V_hasXnoX_groupCount': [(lambda g:g.V().has('no').groupCount())], - 'g_V_hasXnoX_groupCountXaX_capXaX': [(lambda g:g.V().has('no').groupCount('a').cap('a'))], - 'g_V_unionXrepeatXoutX_timesX2X_groupCountXmX_byXlangXX__repeatXinX_timesX2X_groupCountXmX_byXnameXX_capXmX': [(lambda g:g.V().union(__.repeat(__.out()).times(2).groupCount('m').by('lang'),__.repeat(__.in_()).times(2).groupCount('m').by('name')).cap('m'))], - 'g_V_outXcreatedX_groupCountXxX_capXxX': [(lambda g:g.V().out('created').groupCount('x').cap('x'))], - 'g_V_groupCount_byXbothE_countX': [(lambda g:g.V().groupCount().by(__.bothE().count()))], - 'g_V_both_groupCountXaX_out_capXaX_selectXkeysX_unfold_both_groupCountXaX_capXaX': [(lambda g:g.V().both().groupCount('a').out().cap('a').select(Column.keys).unfold().both().groupCount('a').cap('a'))], - 'g_V_hasXperson_name_markoX_bothXknowsX_groupCount_byXvaluesXnameX_foldX': [(lambda g:g.V().has('person','name','marko').both('knows').groupCount().by(__.name.fold()))], + 'g_V_outXcreatedX_groupCount_byXnameX': [(lambda g:g.V().out('created').group_count().by('name'))], + 'g_V_groupCount_byXageX': [(lambda g:g.V().group_count().by('age'))], + 'g_withStrategiesXProductiveByStrategyX_V_groupCount_byXageX': [(lambda g:g.with_strategies(*[TraversalStrategy('ProductiveByStrategy',{'productiveKeys':[],'strategy':'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy'}, 'org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().group_count().by('age'))], + 'g_V_outXcreatedX_name_groupCount': [(lambda g:g.V().out('created').name.group_count())], + 'g_V_outXcreatedX_groupCountXaX_byXnameX_capXaX': [(lambda g:g.V().out('created').group_count('a').by('name').cap('a'))], + 'g_V_outXcreatedX_name_groupCountXaX_capXaX': [(lambda g:g.V().out('created').name.group_count('a').cap('a'))], + 'g_V_repeatXout_groupCountXaX_byXnameXX_timesX2X_capXaX': [(lambda g:g.V().repeat(__.out().group_count('a').by('name')).times(2).cap('a'))], + 'g_V_both_groupCountXaX_byXlabelX_asXbX_barrier_whereXselectXaX_selectXsoftwareX_isXgtX2XXX_selectXbX_name': [(lambda g:g.V().both().group_count('a').by(T.label).as_('b').barrier().where(__.select('a').select('software').is_(P.gt(2))).select('b').name)], + 'g_V_unionXoutXknowsX__outXcreatedX_inXcreatedXX_groupCount_selectXvaluesX_unfold_sum': [(lambda g:g.V().union(__.out('knows'),__.out('created').in_('created')).group_count().select(Column.values).unfold().sum_())], + 'g_V_hasXnoX_groupCount': [(lambda g:g.V().has('no').group_count())], + 'g_V_hasXnoX_groupCountXaX_capXaX': [(lambda g:g.V().has('no').group_count('a').cap('a'))], + 'g_V_unionXrepeatXoutX_timesX2X_groupCountXmX_byXlangXX__repeatXinX_timesX2X_groupCountXmX_byXnameXX_capXmX': [(lambda g:g.V().union(__.repeat(__.out()).times(2).group_count('m').by('lang'),__.repeat(__.in_()).times(2).group_count('m').by('name')).cap('m'))], + 'g_V_outXcreatedX_groupCountXxX_capXxX': [(lambda g:g.V().out('created').group_count('x').cap('x'))], + 'g_V_groupCount_byXbothE_countX': [(lambda g:g.V().group_count().by(__.both_e().count()))], + 'g_V_both_groupCountXaX_out_capXaX_selectXkeysX_unfold_both_groupCountXaX_capXaX': [(lambda g:g.V().both().group_count('a').out().cap('a').select(Column.keys).unfold().both().group_count('a').cap('a'))], + 'g_V_hasXperson_name_markoX_bothXknowsX_groupCount_byXvaluesXnameX_foldX': [(lambda g:g.V().has('person','name','marko').both('knows').group_count().by(__.name.fold()))], 'g_VX1X_out_injectXv2X_name': [(lambda g, vid1=None,v2=None:g.V(vid1).out().inject(v2).name)], 'g_VX1X_out_name_injectXdanielX_asXaX_mapXlengthX_path': [(lambda g, l1=None,vid1=None:g.V(vid1).out().name.inject('daniel').as_('a').map(l1).path())], 'g_VX1X_injectXg_VX4XX_out_name': [(lambda g, vid1=None,v2=None:g.V(vid1).inject(v2).out().name)], 'g_injectXnull_1_3_nullX': [(lambda g:g.inject(None,1,3,None))], - 'g_injectX10_20_null_20_10_10X_groupCountXxX_dedup_asXyX_projectXa_bX_by_byXselectXxX_selectXselectXyXXX': [(lambda g:g.inject(10,20,None,20,10,10).groupCount('x').dedup().as_('y').project('a','b').by().by(__.select('x').select(__.select('y'))))], + 'g_injectX10_20_null_20_10_10X_groupCountXxX_dedup_asXyX_projectXa_bX_by_byXselectXxX_selectXselectXyXXX': [(lambda g:g.inject(10,20,None,20,10,10).group_count('x').dedup().as_('y').project('a','b').by().by(__.select('x').select(__.select('y'))))], 'g_injectXname_marko_age_nullX_selectXname_ageX': [(lambda g, xx1=None:g.inject(xx1).select('name','age'))], 'g_injectXnull_nullX': [(lambda g:g.inject(None,None))], 'g_injectXnullX': [(lambda g:g.inject(None))], @@ -1502,27 +1502,27 @@ 'g_io_read_withXreader_graphsonX': [(lambda g:g.io('data/tinkerpop-modern.json').with_('~tinkerpop.io.reader','graphson').read()), (lambda g:g.V()), (lambda g:g.E())], 'g_io_readXgraphmlX': [(lambda g:g.io('data/tinkerpop-modern.xml').read()), (lambda g:g.V()), (lambda g:g.E())], 'g_io_read_withXreader_graphmlX': [(lambda g:g.io('data/tinkerpop-modern.xml').with_('~tinkerpop.io.reader','graphml').read()), (lambda g:g.V()), (lambda g:g.E())], - 'g_withSackXhelloX_V_outE_sackXassignX_byXlabelX_inV_sack': [(lambda g:g.withSack('hello').V().outE().sack(Operator.assign).by(T.label).in_v().sack())], - 'g_withSackX0X_V_outE_sackXsumX_byXweightX_inV_sack_sum': [(lambda g:g.withSack(float(0.0)).V().outE().sack(Operator.sum_).by('weight').in_v().sack().sum_())], - 'g_withSackX0X_V_repeatXoutE_sackXsumX_byXweightX_inVX_timesX2X_sack': [(lambda g:g.withSack(float(0.0)).V().repeat(__.outE().sack(Operator.sum_).by('weight').in_v()).times(2).sack())], - 'g_withBulkXfalseX_withSackX1_sumX_VX1X_localXoutEXknowsX_barrierXnormSackX_inVX_inXknowsX_barrier_sack': [(lambda g, vid1=None:g.withBulk(False).withSack(float(1.0),Operator.sum_).V(vid1).local(__.outE('knows').barrier(Barrier.normSack).in_v()).in_('knows').barrier().sack())], - 'g_withBulkXfalseX_withSackX1_sumX_V_out_barrier_sack': [(lambda g:g.withBulk(False).withSack(1,Operator.sum_).V().out().barrier().sack())], - 'g_withSackX1_sumX_VX1X_localXoutXknowsX_barrierXnormSackXX_inXknowsX_barrier_sack': [(lambda g, vid1=None:g.withSack(float(1.0),Operator.sum_).V(vid1).local(__.out('knows').barrier(Barrier.normSack)).in_('knows').barrier().sack())], + 'g_withSackXhelloX_V_outE_sackXassignX_byXlabelX_inV_sack': [(lambda g:g.with_sack('hello').V().out_e().sack(Operator.assign).by(T.label).in_v().sack())], + 'g_withSackX0X_V_outE_sackXsumX_byXweightX_inV_sack_sum': [(lambda g:g.with_sack(float(0.0)).V().out_e().sack(Operator.sum_).by('weight').in_v().sack().sum_())], + 'g_withSackX0X_V_repeatXoutE_sackXsumX_byXweightX_inVX_timesX2X_sack': [(lambda g:g.with_sack(float(0.0)).V().repeat(__.out_e().sack(Operator.sum_).by('weight').in_v()).times(2).sack())], + 'g_withBulkXfalseX_withSackX1_sumX_VX1X_localXoutEXknowsX_barrierXnormSackX_inVX_inXknowsX_barrier_sack': [(lambda g, vid1=None:g.with_bulk(False).with_sack(float(1.0),Operator.sum_).V(vid1).local(__.out_e('knows').barrier(Barrier.norm_sack).in_v()).in_('knows').barrier().sack())], + 'g_withBulkXfalseX_withSackX1_sumX_V_out_barrier_sack': [(lambda g:g.with_bulk(False).with_sack(1,Operator.sum_).V().out().barrier().sack())], + 'g_withSackX1_sumX_VX1X_localXoutXknowsX_barrierXnormSackXX_inXknowsX_barrier_sack': [(lambda g, vid1=None:g.with_sack(float(1.0),Operator.sum_).V(vid1).local(__.out('knows').barrier(Barrier.norm_sack)).in_('knows').barrier().sack())], 'g_V_sackXassignX_byXageX_sack': [(lambda g:g.V().sack(Operator.assign).by('age').sack())], - 'g_V_hasXageX_groupCountXaX_byXnameX_out_capXaX': [(lambda g:g.V().has('age').groupCount('a').by('name').out().cap('a'))], + 'g_V_hasXageX_groupCountXaX_byXnameX_out_capXaX': [(lambda g:g.V().has('age').group_count('a').by('name').out().cap('a'))], 'g_V_groupXaX_byXageX_capXaX': [(lambda g:g.V().group('a').by('age').cap('a'))], 'g_V_groupXaX_byXnameX_capXaX': [(lambda g:g.V().group('a').by('name').cap('a'))], 'g_V_hasXlangX_groupXaX_byXlangX_byXnameX_out_capXaX': [(lambda g:g.V().has('lang').group('a').by('lang').by('name').out().cap('a'))], 'g_V_repeatXout_groupXaX_byXnameX_byXcountX_timesX2X_capXaX': [(lambda g:g.V().repeat(__.out().group('a').by('name').by(__.count())).times(2).cap('a'))], - 'g_V_groupXaX_byXlabelX_byXoutE_weight_sumX_capXaX': [(lambda g:g.V().group('a').by(T.label).by(__.outE().weight.sum_()).cap('a'))], + 'g_V_groupXaX_byXlabelX_byXoutE_weight_sumX_capXaX': [(lambda g:g.V().group('a').by(T.label).by(__.out_e().weight.sum_()).cap('a'))], 'g_V_repeatXbothXfollowedByXX_timesX2X_groupXaX_byXsongTypeX_byXcountX_capXaX': [(lambda g:g.V().repeat(__.both('followedBy')).times(2).group('a').by('songType').by(__.count()).cap('a'))], 'g_V_groupXaX_byXname_substring_1X_byXconstantX1XX_capXaX': [(lambda g, l1=None:g.V().group('a').by(l1).by(__.constant(1)).cap('a'))], - 'g_V_hasLabelXsongX_groupXaX_byXnameX_byXproperties_groupCount_byXlabelXX_out_capXaX': [(lambda g:g.V().hasLabel('song').group('a').by('name').by(__.properties().groupCount().by(T.label)).out().cap('a'))], - 'g_V_hasLabelXpersonX_asXpX_outXcreatedX_groupXaX_byXnameX_byXselectXpX_valuesXageX_sumX_capXaX': [(lambda g:g.V().hasLabel('person').as_('p').out('created').group('a').by('name').by(__.select('p').age.sum_()).cap('a'))], + 'g_V_hasLabelXsongX_groupXaX_byXnameX_byXproperties_groupCount_byXlabelXX_out_capXaX': [(lambda g:g.V().has_label('song').group('a').by('name').by(__.properties().group_count().by(T.label)).out().cap('a'))], + 'g_V_hasLabelXpersonX_asXpX_outXcreatedX_groupXaX_byXnameX_byXselectXpX_valuesXageX_sumX_capXaX': [(lambda g:g.V().has_label('person').as_('p').out('created').group('a').by('name').by(__.select('p').age.sum_()).cap('a'))], 'g_V_groupXmX_byXnameX_byXinXknowsX_nameX_capXmX': [(lambda g:g.V().group('m').by('name').by(__.in_('knows').name).cap('m'))], 'g_V_groupXmX_byXlabelX_byXlabel_countX_capXmX': [(lambda g:g.V().group('m').by(__.label()).by(__.label().count()).cap('m'))], 'g_V_storeXa_nameX_out_capXaX': [(lambda g:g.V().store('a').by('name').out().cap('a'))], 'g_VX1X_storeXaX_byXnameX_out_storeXaX_byXnameX_name_capXaX': [(lambda g, vid1=None:g.V(vid1).store('a').by('name').out().store('a').by('name').name.cap('a'))], - 'g_withSideEffectXa_setX_V_both_name_storeXaX_capXaX': [(lambda g, xx1=None:g.withSideEffect('a',xx1).V().both().name.store('a').cap('a'))], - 'g_V_storeXaX_byXoutEXcreatedX_countX_out_out_storeXaX_byXinEXcreatedX_weight_sumX': [(lambda g:g.V().store('a').by(__.outE('created').count()).out().out().store('a').by(__.inE('created').weight.sum_()).cap('a'))], + 'g_withSideEffectXa_setX_V_both_name_storeXaX_capXaX': [(lambda g, xx1=None:g.with_side_effect('a',xx1).V().both().name.store('a').cap('a'))], + 'g_V_storeXaX_byXoutEXcreatedX_countX_out_out_storeXaX_byXinEXcreatedX_weight_sumX': [(lambda g:g.V().store('a').by(__.out_e('created').count()).out().out().store('a').by(__.in_e('created').weight.sum_()).cap('a'))], } From c80fd5eb3f965d17e3175e2bda8d262d948192cd Mon Sep 17 00:00:00 2001 From: Cole Greer <112986082+Cole-Greer@users.noreply.github.com> Date: Mon, 10 Mar 2025 16:00:09 -0700 Subject: [PATCH 2/5] TINKERPOP-3015 Use wildcard instead of Object for hasId/hasValue predicates (#3068) --- CHANGELOG.asciidoc | 1 + .../process/traversal/dsl/graph/GraphTraversal.java | 8 ++++---- .../tinkerpop/gremlin/process/traversal/dsl/graph/__.java | 4 ++-- 3 files changed, 7 insertions(+), 6 deletions(-) diff --git a/CHANGELOG.asciidoc b/CHANGELOG.asciidoc index 05817f2751c..cf8b8d6d391 100644 --- a/CHANGELOG.asciidoc +++ b/CHANGELOG.asciidoc @@ -39,6 +39,7 @@ image::https://raw.githubusercontent.com/apache/tinkerpop/master/docs/static/ima * Deprecated `gremlin_python.process.__.has_key_` in favor of `gremlin_python.process.__.has_key`. * Added `gremlin.spark.outputRepartition` configuration to customize the partitioning of HDFS files from `OutputRDD`. * Allowed `mergeV()` and `mergeE()` to supply `null` in `Map` values. +* Change signature of `hasId(P)` and `hasValue(P)` to `hasId(P)` and `hasValue(P)`. * Improved error message for when `emit()` is used without `repeat()`. * Changed `PythonTranslator` to generate snake case step naming instead of camel case. diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.java index 1d4bc0c6636..c97a172b6df 100644 --- a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.java +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.java @@ -2381,7 +2381,7 @@ public default GraphTraversal hasLabel(final P predicate) { */ public default GraphTraversal hasId(final Object id, final Object... otherIds) { if (id instanceof P) { - return this.hasId((P) id); + return this.hasId((P) id); } else { this.asAdmin().getBytecode().addStep(Symbols.hasId, id, otherIds); @@ -2424,7 +2424,7 @@ public default GraphTraversal hasId(final Object id, final Object... other * @see Reference Documentation - Has Step * @since 3.2.4 */ - public default GraphTraversal hasId(final P predicate) { + public default GraphTraversal hasId(final P predicate) { if (null == predicate) return hasId((Object) null); @@ -2485,7 +2485,7 @@ public default GraphTraversal hasKey(final P predicate) { */ public default GraphTraversal hasValue(final Object value, final Object... otherValues) { if (value instanceof P) - return this.hasValue((P) value); + return this.hasValue((P) value); else { this.asAdmin().getBytecode().addStep(Symbols.hasValue, value, otherValues); final List values = new ArrayList<>(); @@ -2519,7 +2519,7 @@ public default GraphTraversal hasValue(final Object value, final Object... * @see Reference Documentation - Has Step * @since 3.2.4 */ - public default GraphTraversal hasValue(final P predicate) { + public default GraphTraversal hasValue(final P predicate) { // if calling hasValue(null), the likely use the caller is going for is not a "no predicate" but a eq(null) if (null == predicate) { return hasValue((String) null); diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/__.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/__.java index a0cadeef847..270317772cb 100644 --- a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/__.java +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/__.java @@ -993,7 +993,7 @@ public static GraphTraversal hasId(final Object id, Object... otherIds /** * @see GraphTraversal#hasId(P) */ - public static GraphTraversal hasId(final P predicate) { + public static GraphTraversal hasId(final P predicate) { return __.start().hasId(predicate); } @@ -1021,7 +1021,7 @@ public static GraphTraversal hasValue(final Object value, Object... va /** * @see GraphTraversal#hasValue(P) */ - public static GraphTraversal hasValue(final P predicate) { + public static GraphTraversal hasValue(final P predicate) { return __.start().hasValue(predicate); } From 6dda6f0df96aa852d20cac40c48144786645a6b5 Mon Sep 17 00:00:00 2001 From: Stephen Mallette Date: Tue, 11 Mar 2025 08:26:23 -0400 Subject: [PATCH 3/5] TINKERPOP-2510, TINKERPOP-3104 Update docs on Map issues Covered workarounds for selecting non-string keys and using by(T) as well as differences between embedded and remote returned Map vs Map.Entry. --- docs/src/reference/the-traversal.asciidoc | 82 ++++++++++++++++++++++- 1 file changed, 79 insertions(+), 3 deletions(-) diff --git a/docs/src/reference/the-traversal.asciidoc b/docs/src/reference/the-traversal.asciidoc index a40af88ed2a..e3846a3f5fe 100644 --- a/docs/src/reference/the-traversal.asciidoc +++ b/docs/src/reference/the-traversal.asciidoc @@ -938,9 +938,10 @@ on a step-by-step level and thus, as discussed in their respective section of th * <>: aggregate all objects into a set but only store their `by()`-modulated values. * <>: filter if the traverser's path is cyclic given `by()`-modulation. * <>: dedup on the results of a `by()`-modulation. +* <>: transform a traverser provided to the step by way of the `by()` modulator before it is processed by it. * <>: create group keys and values according to `by()`-modulation. * <>: count those groups where the group keys are the result of `by()`-modulation. -* <>: transform a traverser provided to the step by way of the `by()` modulator before it processed by it. +* <>: transform a traverser provided to the step by way of the `by()` modulator before it is processed by it. * <>: order the objects by the results of a `by()`-modulation. * <>: get the path of the traverser where each path element is `by()`-modulated. * <>: project a map of results given various `by()`-modulations off the current object. @@ -966,7 +967,8 @@ link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gre link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.html#by(org.apache.tinkerpop.gremlin.process.traversal.Traversal)++[`by(Traversal)`], link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.html#by(org.apache.tinkerpop.gremlin.process.traversal.Traversal,java.util.Comparator)++[`by(Traversal,Comparator)`], link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/structure/T.html++[`T`], -link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/Order.html++[`Order`] +link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/Order.html++[`Order`], +<> [[call-step]] === Call Step @@ -4282,7 +4284,8 @@ link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gre link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.html#select(org.apache.tinkerpop.gremlin.process.traversal.Traversal)++[`select(Traversal)`], link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/dsl/graph/GraphTraversal.html#select(org.apache.tinkerpop.gremlin.process.traversal.Pop,org.apache.tinkerpop.gremlin.process.traversal.Traversal)++[`select(Pop,Traversal)`], link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/structure/Column.html++[`Column`], -link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/Pop.html++[`Pop`] +link:++https://tinkerpop.apache.org/javadocs/x.y.z/core/org/apache/tinkerpop/gremlin/process/traversal/Pop.html++[`Pop`], +<> [[shortestpath-step]] === ShortestPath step @@ -5242,6 +5245,79 @@ g.V().as('a').both().both().as('b').count() g.V().as('a').both().both().as('b').where('a',neq('b')).count() ---- +[[a-note-on-maps]] +== A Note on Maps + +Many steps in Gremlin return `Map`-based results. Commonly used steps like <>, +<>, and <> are just some examples of steps that fall into this category. +When working with `Map` results there are a couple of important things to know. + +First, it is important to recognize that there is a bit of a difference in behavior that occurs when using +<> on a `Map` in embedded contexts versus remote contexts. In embedded contexts, an unfolded `Map` +becomes its composite `Map.Entry` objects as is typical in Java. The following example demonstrates the basic name/value +pairs that returned: + +[groovy,modern] +---- +g.V().valueMap('name','age').unfold() +---- + +In remote contexts, an unfolded `Map` becomes `Map.Entry` on the server as in the embedded case, but is returned to the +application as a `Map` with one entry. The slight difference in notation in Gremlin Console is shown in the following +remote example: + +[source,text] +---- +gremlin> g.V().valueMap('name','age').unfold() +==>[name:[marko]] +==>[age:[29]] +==>[name:[vadas]] +==>[age:[27]] +==>[name:[lop]] +==>[name:[josh]] +==>[age:[32]] +==>[name:[ripple]] +==>[name:[peter]] +==>[age:[35]] +---- + +The primary reason for this difference lies in the fact that Gremlin Language Variants, like Python and Go, do not have +a native `Map.Entry` concept that can be used. The most universal data structure across programming languages is the +`Map` itself. It is important to note that this transformation from `Map.Entry` to `Map` only applies to results +received on the client-side. In other words, if a step was to follow `unfold()` in the prior example, it would be +dealing with `Map.Entry` and not a `Map`, so Gremlin semantics should remain consistent on the server side. + +The second issues to consider with steps that return a `Map` is that access keys on a `Map` is not always as consistent +as expected. The issue is best demonstrated in some examples: + +[source,text] +---- +// note that elements can be grouped by(id), but that same pattern can't be applied to get +// a T.id in a Map +gremlin> g.V().hasLabel('person').both().group().by(id) +==>[1:[v[1],v[1]],2:[v[2]],3:[v[3],v[3],v[3]],4:[v[4]],5:[v[5]]] +gremlin> g.V().hasLabel('person').both().elementMap().group().by(id) +TokenTraversal support of java.util.LinkedHashMap does not allow selection by id +Type ':help' or ':h' for help. +Display stack trace? [yN] + +// note that select() can't be used if the key is a non-string +gremlin> g.V().hasLabel('person').both().group().by('age').select(32) +No signature of method: org.apache.tinkerpop.gremlin.process.traversal.dsl.graph.DefaultGraphTraversal.select() is applicable for argument types: (Integer) values: [32] +Possible solutions: reset(), collect(), sleep(long), collect(groovy.lang.Closure), inject(groovy.lang.Closure), split(groovy.lang.Closure) +Type ':help' or ':h' for help. +Display stack trace? [yN] +---- + +While this problem might be solved in future versions, the workaround for both cases is to use +<> as shown in the following example: + +[groovy,modern] +---- +g.V().hasLabel('person').both().group().by(constant(id)) +g.V().hasLabel('person').both().group().by('age').select(constant(32)) +---- + [[a-note-on-barrier-steps]] == A Note on Barrier Steps From 2b013a603ff0ca66ca717fe4ee6f7f3f156c9ed0 Mon Sep 17 00:00:00 2001 From: andreachild Date: Tue, 11 Mar 2025 11:15:39 -0700 Subject: [PATCH 4/5] Allow for floating point rounding errors in Java Feature test assertions CTR (#3070) --- .../apache/tinkerpop/gremlin/features/StepDefinition.java | 8 ++++++-- 1 file changed, 6 insertions(+), 2 deletions(-) diff --git a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java index b34fdaed81a..573725b00ca 100644 --- a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java +++ b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java @@ -62,6 +62,7 @@ import static org.hamcrest.core.StringContains.containsStringIgnoringCase; import static org.hamcrest.core.StringEndsWith.endsWithIgnoringCase; import static org.hamcrest.core.StringStartsWith.startsWithIgnoringCase; +import static org.hamcrest.number.IsCloseTo.closeTo; import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertNotNull; import static org.junit.Assert.fail; @@ -588,7 +589,7 @@ private String tryUpdateDataFilePath(final String docString) { } /** - * TinkerPop version of Hamcrest's {code containsInAnyOrder} that can use our custom assertions for {@link Path}. + * TinkerPop version of Hamcrest's {code containsInAnyOrder} that can use our custom assertions for {@link Path} and {@link Double}. */ @SafeVarargs public static org.hamcrest.Matcher> containsInAnyOrder(T... items) { @@ -596,7 +597,7 @@ public static org.hamcrest.Matcher> containsInAnyOrder } /** - * TinkerPop version of Hamcrest's {code contains} that can use our custom assertions for {@link Path}. + * TinkerPop version of Hamcrest's {code contains} that can use our custom assertions for {@link Path} and {@link Double}. */ @SafeVarargs public static org.hamcrest.Matcher> contains(T... items) { @@ -627,6 +628,9 @@ private static List> getMatchers(T[] items) // part of the gherkin syntax) if (item instanceof Path) { matchers.add((org.hamcrest.Matcher) new IsPathEqualToMatcher((Path) item)); + } else if (item instanceof Double && Double.isFinite((Double) item)) { + // Allow for minor rounding errors with Double + matchers.add((org.hamcrest.Matcher) closeTo((Double) item, 0.000000000000001)); } else { matchers.add(IsEqual.equalTo(item)); } From bef4a49222f2f0338ea5c7fd2dad943aebdbcfe3 Mon Sep 17 00:00:00 2001 From: Stephen Mallette Date: Fri, 11 Oct 2024 13:27:50 -0400 Subject: [PATCH 5/5] TINKERPOP-3088 Retain lower common type for sum() global The multiplication of the traverser value by the bulk was promoting the type to long so that even if the values were all int and fitting well within that space you'd still end up with a long value. --- .../translator/DotNetTranslateVisitor.java | 1198 +++++++++++++++++ .../traversal/step/map/SumGlobalStep.java | 11 +- .../tinkerpop/gremlin/util/NumberHelper.java | 44 + .../translator/GremlinTranslatorTest.java | 1160 ++++++++++++++++ .../gremlin/util/NumberHelperTest.java | 133 ++ gremlin-dotnet/build/generate.groovy | 1 + gremlin-go/driver/cucumber/gremlin.go | 10 + .../server/GremlinServerIntegrateTest.java | 4 +- .../gremlin/features/StepDefinition.java | 17 +- .../process/computer/GraphComputerTest.java | 12 +- .../traversal/step/sideEffect/GroupTest.java | 4 +- .../gremlin/test/features/map/Sum.feature | 130 +- .../test/features/sideEffect/Group.feature | 4 +- .../features/sideEffect/SideEffectCap.feature | 2 +- .../SparkStarBarrierInterceptor.java | 7 +- .../SparkInterceptorStrategyTest.java | 4 +- .../spark/structure/io/InputRDDTest.java | 2 +- 17 files changed, 2706 insertions(+), 37 deletions(-) create mode 100644 gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/language/translator/DotNetTranslateVisitor.java create mode 100644 gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/language/translator/GremlinTranslatorTest.java diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/language/translator/DotNetTranslateVisitor.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/language/translator/DotNetTranslateVisitor.java new file mode 100644 index 00000000000..0e552bb5609 --- /dev/null +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/language/translator/DotNetTranslateVisitor.java @@ -0,0 +1,1198 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ +package org.apache.tinkerpop.gremlin.language.translator; + +import org.antlr.v4.runtime.tree.ParseTree; +import org.antlr.v4.runtime.tree.TerminalNode; +import org.apache.commons.lang3.StringUtils; +import org.apache.tinkerpop.gremlin.language.grammar.GremlinParser; +import org.apache.tinkerpop.gremlin.process.traversal.dsl.graph.GraphTraversal; +import org.apache.tinkerpop.gremlin.structure.VertexProperty; +import org.apache.tinkerpop.gremlin.util.DatetimeHelper; + +import java.util.Date; +import java.util.HashMap; +import java.util.List; +import java.util.Map; +import java.util.stream.Collectors; + +/** + * Converts a Gremlin traversal string into a C# source code representation of that traversal with an aim at + * sacrificing some formatting for the ability to compile correctly. + *
    + *
  • Range syntax has no direct support
    • + *
  • Normalizes whitespace
    • + *
  • Normalize numeric suffixes to lower case
    • + *
  • If floats are not suffixed they will translate as BigDecimal
    • + *
  • Makes anonymous traversals explicit with double underscore
    • + *
  • Makes enums explicit with their proper name
    • + *
+ */ +public class DotNetTranslateVisitor extends AbstractTranslateVisitor { + public DotNetTranslateVisitor() { + this("g"); + } + + public DotNetTranslateVisitor(final String graphTraversalSourceName) { + super(graphTraversalSourceName); + } + + @Override + public Void visitTraversalDirection(final GremlinParser.TraversalDirectionContext ctx) { + final String direction = ctx.getText().toLowerCase(); + sb.append("Direction."); + if (direction.contains("out")) + sb.append("Out"); + else if (direction.contains("in")) + sb.append("In"); + else if (direction.contains("from")) + sb.append("From"); + else if (direction.contains("to")) + sb.append("To"); + else + sb.append("Both"); + return null; + } + + @Override + public Void visitNanLiteral(final GremlinParser.NanLiteralContext ctx) { + sb.append("Double.NaN"); + return null; + } + + @Override + public Void visitInfLiteral(final GremlinParser.InfLiteralContext ctx) { + if (ctx.SignedInfLiteral().getText().equals("-Infinity")) + sb.append("Double.NegativeInfinity"); + else + sb.append("Double.PositiveInfinity"); + return null; + } + + @Override + public Void visitIntegerLiteral(final GremlinParser.IntegerLiteralContext ctx) { + final String integerLiteral = ctx.getText().toLowerCase(); + + // check suffix + final int lastCharIndex = integerLiteral.length() - 1; + final char lastCharacter = integerLiteral.charAt(lastCharIndex); + switch (lastCharacter) { + case 'b': + // parse B/b as byte + sb.append("(byte) "); + sb.append(integerLiteral, 0, lastCharIndex); + break; + case 's': + // parse S/s as short + sb.append("(short) "); + sb.append(integerLiteral, 0, lastCharIndex); + break; + case 'i': + // parse I/i as integer. + sb.append(integerLiteral, 0, lastCharIndex); + break; + case 'l': + // parse L/l as long + sb.append(integerLiteral); + break; + case 'n': + sb.append("new BigInteger("); + sb.append(integerLiteral, 0, lastCharIndex); + sb.append(")"); + break; + default: + // everything else just goes as specified + sb.append(integerLiteral); + break; + } + return null; + } + + @Override + public Void visitFloatLiteral(final GremlinParser.FloatLiteralContext ctx) { + final String floatLiteral = ctx.getText().toLowerCase(); + + // check suffix + final int lastCharIndex = floatLiteral.length() - 1; + final char lastCharacter = floatLiteral.charAt(lastCharIndex); + switch (lastCharacter) { + case 'f': + case 'd': + // parse F/f as Float and D/d suffix as Double + sb.append(floatLiteral); + break; + case 'm': + // parse M/m or whatever which could be a parse exception + sb.append("(decimal) "); + sb.append(floatLiteral, 0, lastCharIndex); + break; + default: + // everything else just goes as specified + sb.append(floatLiteral); + break; + } + return null; + } + + @Override + public Void visitDateLiteral(final GremlinParser.DateLiteralContext ctx) { + // child at 2 is the date argument to datetime() and comes enclosed in quotes + final String dtString = ctx.getChild(2).getText(); + final Date dt = DatetimeHelper.parse(removeFirstAndLastCharacters(dtString)); + sb.append("DateTimeOffset.FromUnixTimeMilliseconds("); + sb.append(dt.getTime()); + sb.append(")"); + return null; + } + + @Override + public Void visitGenericLiteralRange(final GremlinParser.GenericLiteralRangeContext ctx) { + throw new TranslatorException(".NET does not support range literals"); + } + + @Override + public Void visitGenericLiteralMap(final GremlinParser.GenericLiteralMapContext ctx) { + sb.append("new Dictionary {"); + for (int i = 0; i < ctx.mapEntry().size(); i++) { + final GremlinParser.MapEntryContext mapEntryContext = ctx.mapEntry(i); + visit(mapEntryContext); + if (i < ctx.mapEntry().size() - 1) + sb.append(", "); + } + sb.append("}"); + return null; + } + + @Override + public Void visitGenericLiteralSet(final GremlinParser.GenericLiteralSetContext ctx) { + sb.append("new HashSet { "); + for (int i = 0; i < ctx.genericLiteral().size(); i++) { + final GremlinParser.GenericLiteralContext genericLiteralContext = ctx.genericLiteral(i); + visit(genericLiteralContext); + if (i < ctx.genericLiteral().size() - 1) + sb.append(", "); + } + sb.append(" }"); + return null; + } + + @Override + public Void visitGenericLiteralCollection(final GremlinParser.GenericLiteralCollectionContext ctx) { + sb.append("new List { "); + for (int i = 0; i < ctx.genericLiteral().size(); i++) { + final GremlinParser.GenericLiteralContext genericLiteralContext = ctx.genericLiteral(i); + visit(genericLiteralContext); + if (i < ctx.genericLiteral().size() - 1) + sb.append(", "); + } + sb.append(" }"); + return null; + } + + @Override + public Void visitStringLiteralList(final GremlinParser.StringLiteralListContext ctx) { + sb.append("new List { "); + for (int ix = 0; ix < ctx.getChild(1).getChildCount(); ix++) { + if (ctx.getChild(1).getChild(ix) instanceof TerminalNode) + continue; + visit(ctx.getChild(1).getChild(ix)); + if (ix < ctx.getChild(1).getChildCount() - 1) + sb.append(", "); + } + sb.append(" }"); + return null; + } + + @Override + public Void visitMapEntry(final GremlinParser.MapEntryContext ctx) { + sb.append("{ "); + // if it is a terminal node that isn't a starting form like "(T.id)" then it has to be processed as a string + // for Java but otherwise it can just be handled as a generic literal + final boolean isKeyWrappedInParens = ctx.getChild(0).getText().equals("("); + if (ctx.getChild(0) instanceof TerminalNode && !isKeyWrappedInParens) { + handleStringLiteralText(ctx.getChild(0).getText()); + } else { + final int indexOfActualKey = isKeyWrappedInParens ? 1 : 0; + visit(ctx.getChild(indexOfActualKey)); + } + sb.append(", "); + final int indexOfValue = isKeyWrappedInParens ? 4 : 2; + visit(ctx.getChild(indexOfValue)); // value + sb.append(" }"); + return null; + } + + @Override + public Void visitTraversalStrategy(final GremlinParser.TraversalStrategyContext ctx) { + + if (ctx.getChildCount() == 1) + sb.append("new ").append(ctx.getText()).append("()"); + else { + sb.append("new ").append(ctx.getChild(1).getText()).append("("); + + final List configs = ctx.children.stream(). + filter(c -> c instanceof GremlinParser.ConfigurationContext).collect(Collectors.toList()); + + // the rest are the arguments to the strategy + for (int ix = 0; ix < configs.size(); ix++) { + visit(configs.get(ix)); + if (ix < configs.size() - 1) + sb.append(", "); + } + + sb.append(")");; + } + return null; + } + + @Override + public Void visitConfiguration(final GremlinParser.ConfigurationContext ctx) { + // form of three tokens of key:value to become key=value + sb.append(ctx.getChild(0).getText()); + sb.append(": "); + visit(ctx.getChild(2)); + + // need to convert List to Set for readPartitions until TINKERPOP-3032 + if (ctx.getChild(0).getText().equals("readPartitions")) { + // find the last "List" in sb and replace it with "HashSet" + final int ix = sb.lastIndexOf("List"); + sb.replace(ix, ix + 12, "HashSet"); + } + + return null; + } + + @Override + public Void visitTraversalCardinality(final GremlinParser.TraversalCardinalityContext ctx) { + // handle the enum style of cardinality if there is one child, otherwise it's the function call style + if (ctx.getChildCount() == 1) + appendExplicitNaming(ctx.getText(), VertexProperty.Cardinality.class.getSimpleName()); + else { + String txt = ctx.getChild(0).getText(); + if (txt.startsWith("Cardinality.")) { + txt = txt.replaceFirst("Cardinality.", ""); + } + appendExplicitNaming(txt, "CardinalityValue"); + appendStepOpen(); + visit(ctx.getChild(2)); + appendStepClose(); + } + + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_inject(final GremlinParser.TraversalSourceSpawnMethod_injectContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalSourceSpawnMethod_io(final GremlinParser.TraversalSourceSpawnMethod_ioContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalSourceSpawnMethod_call_empty(final GremlinParser.TraversalSourceSpawnMethod_call_emptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalSourceSpawnMethod_call_string(final GremlinParser.TraversalSourceSpawnMethod_call_stringContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("((string) "); + visit(ctx.stringArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_call_string_map(final GremlinParser.TraversalSourceSpawnMethod_call_string_mapContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_call_string_traversal(final GremlinParser.TraversalSourceSpawnMethod_call_string_traversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_call_string_map_traversal(final GremlinParser.TraversalSourceSpawnMethod_call_string_map_traversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapArgument()); + sb.append(", "); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_mergeV_Map(final GremlinParser.TraversalSourceSpawnMethod_mergeV_MapContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapNullableArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_mergeV_Traversal(final GremlinParser.TraversalSourceSpawnMethod_mergeV_TraversalContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_mergeE_Map(final GremlinParser.TraversalSourceSpawnMethod_mergeE_MapContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapNullableArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_mergeE_Traversal(final GremlinParser.TraversalSourceSpawnMethod_mergeE_TraversalContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalSourceSpawnMethod_union(final GremlinParser.TraversalSourceSpawnMethod_unionContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_asString_Scope(final GremlinParser.TraversalMethod_asString_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_branch(final GremlinParser.TraversalMethod_branchContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_call_string(final GremlinParser.TraversalMethod_call_stringContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("((string) "); + visit(ctx.stringArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_call_string_map(final GremlinParser.TraversalMethod_call_string_mapContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_call_string_traversal(final GremlinParser.TraversalMethod_call_string_traversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_call_string_map_traversal(final GremlinParser.TraversalMethod_call_string_map_traversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("").append("("); + visit(ctx.stringArgument()); + sb.append(", "); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapArgument()); + sb.append(", "); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_cap(final GremlinParser.TraversalMethod_capContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Function(final GremlinParser.TraversalMethod_choose_FunctionContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Predicate_Traversal(final GremlinParser.TraversalMethod_choose_Predicate_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Predicate_Traversal_Traversal(final GremlinParser.TraversalMethod_choose_Predicate_Traversal_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Traversal(final GremlinParser.TraversalMethod_choose_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Traversal_Traversal(final GremlinParser.TraversalMethod_choose_Traversal_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_choose_Traversal_Traversal_Traversal(final GremlinParser.TraversalMethod_choose_Traversal_Traversal_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_coalesce(final GremlinParser.TraversalMethod_coalesceContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_constant(final GremlinParser.TraversalMethod_constantContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_elementMap(final GremlinParser.TraversalMethod_elementMapContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_flatMap(final GremlinParser.TraversalMethod_flatMapContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_fold_Empty(final GremlinParser.TraversalMethod_fold_EmptyContext ctx) { + // calling __.fold() as a start step needs the generics + if (isCalledAsFirstStepInAnonymousTraversal(ctx)) + return handleGenerics(ctx); + else + return super.visitTraversalMethod_fold_Empty(ctx); + } + + @Override + public Void visitTraversalMethod_fold_Object_BiFunction(final GremlinParser.TraversalMethod_fold_Object_BiFunctionContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_group_Empty(final GremlinParser.TraversalMethod_group_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_groupCount_Empty(final GremlinParser.TraversalMethod_groupCount_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_has_String_Object(final GremlinParser.TraversalMethod_has_String_ObjectContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument()); + visit(ctx.stringNullableArgument()); + sb.append(", "); + tryAppendCastToObject(ctx.genericLiteralArgument()); + visit(ctx.genericLiteralArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_String_P(GremlinParser.TraversalMethod_has_String_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument()); + visit(ctx.stringNullableArgument()); + sb.append(", "); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_String_String_Object(final GremlinParser.TraversalMethod_has_String_String_ObjectContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument(0)); + visit(ctx.stringNullableArgument(0)); + sb.append(", "); + tryAppendCastToString(ctx.stringNullableArgument(1)); + visit(ctx.stringNullableArgument(1)); + sb.append(", "); + tryAppendCastToObject(ctx.genericLiteralArgument()); + visit(ctx.genericLiteralArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_String_String_P(final GremlinParser.TraversalMethod_has_String_String_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument(0)); + visit(ctx.stringNullableArgument(0)); + sb.append(", "); + tryAppendCastToString(ctx.stringNullableArgument(1)); + visit(ctx.stringNullableArgument(1)); + sb.append(", "); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_String_Traversal(final GremlinParser.TraversalMethod_has_String_TraversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument()); + visit(ctx.stringNullableArgument()); + sb.append(", "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_T_Object(final GremlinParser.TraversalMethod_has_T_ObjectContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + if (ctx.traversalTokenArgument().variable() != null) + sb.append("(T) "); + visit(ctx.traversalTokenArgument()); + sb.append(", "); + tryAppendCastToObject(ctx.genericLiteralArgument()); + visit(ctx.genericLiteralArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_T_P(final GremlinParser.TraversalMethod_has_T_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + if (ctx.traversalTokenArgument().variable() != null) + sb.append("(T) "); + visit(ctx.traversalTokenArgument()); + sb.append(", "); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_has_T_Traversal(final GremlinParser.TraversalMethod_has_T_TraversalContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + if (ctx.traversalTokenArgument().variable() != null) + sb.append("(T) "); + visit(ctx.traversalTokenArgument()); + sb.append(", "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_hasKey_P(final GremlinParser.TraversalMethod_hasKey_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_hasKey_String_String(final GremlinParser.TraversalMethod_hasKey_String_StringContext ctx) { + // if there is only one argument then cast to string otherwise it's ambiguous with hasKey(P) + if (ctx.stringLiteralVarargs() == null || ctx.stringLiteralVarargs().getChildCount() == 0) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument()); + visit(ctx.stringNullableArgument()); + sb.append(")"); + return null; + } else { + return super.visitTraversalMethod_hasKey_String_String(ctx); + } + } + + @Override + public Void visitTraversalMethod_hasValue_Object_Object(final GremlinParser.TraversalMethod_hasValue_Object_ObjectContext ctx) { + // if there is only one argument then cast to object otherwise it's ambiguous with hasValue(P) + if (ctx.genericLiteralVarargs() == null || ctx.genericLiteralVarargs().getChildCount() == 0) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToObject(ctx.genericLiteralArgument()); + visit(ctx.genericLiteralArgument()); + sb.append(")"); + return null; + } else { + return super.visitTraversalMethod_hasValue_Object_Object(ctx); + } + } + + @Override + public Void visitTraversalMethod_hasValue_P(final GremlinParser.TraversalMethod_hasValue_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_hasLabel_P(final GremlinParser.TraversalMethod_hasLabel_PContext ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + visit(ctx.traversalPredicate()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_hasLabel_String_String(final GremlinParser.TraversalMethod_hasLabel_String_StringContext ctx) { + // if there is only one argument then cast to string otherwise it's ambiguous with hasLabel(P) + if (ctx.stringLiteralVarargs() == null || ctx.stringLiteralVarargs().getChildCount() == 0) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + tryAppendCastToString(ctx.stringNullableArgument()); + visit(ctx.stringNullableArgument()); + sb.append(")"); + return null; + } else { + return super.visitTraversalMethod_hasLabel_String_String(ctx); + } + } + + @Override + public Void visitTraversalMethod_index(final GremlinParser.TraversalMethod_indexContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_length_Scope(final GremlinParser.TraversalMethod_length_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_limit_Scope_long(final GremlinParser.TraversalMethod_limit_Scope_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_limit_long(final GremlinParser.TraversalMethod_limit_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_local(final GremlinParser.TraversalMethod_localContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_lTrim_Scope(final GremlinParser.TraversalMethod_lTrim_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_map(final GremlinParser.TraversalMethod_mapContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_match(final GremlinParser.TraversalMethod_matchContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_max_Empty(final GremlinParser.TraversalMethod_max_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_max_Scope(final GremlinParser.TraversalMethod_max_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_mean_Empty(final GremlinParser.TraversalMethod_mean_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_mean_Scope(final GremlinParser.TraversalMethod_mean_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_mergeV_Map(final GremlinParser.TraversalMethod_mergeV_MapContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapNullableArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_mergeV_Traversal(final GremlinParser.TraversalMethod_mergeV_TraversalContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_mergeE_Map(final GremlinParser.TraversalMethod_mergeE_MapContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapNullableArgument()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_mergeE_Traversal(final GremlinParser.TraversalMethod_mergeE_TraversalContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_min_Empty(final GremlinParser.TraversalMethod_min_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_min_Scope(final GremlinParser.TraversalMethod_min_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_option_Merge_Map(final GremlinParser.TraversalMethod_option_Merge_MapContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + visit(ctx.traversalMergeArgument()); + sb.append(", "); + sb.append("(IDictionary) "); + visit(ctx.genericLiteralMapNullableArgument()); // second argument + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_option_Merge_Traversal(final GremlinParser.TraversalMethod_option_Merge_TraversalContext ctx) { + // call is ambiguous without an explicit cast + visit(ctx.getChild(0)); + sb.append("("); + visit(ctx.traversalMergeArgument()); + sb.append(", "); + sb.append("(ITraversal) "); + visit(ctx.nestedTraversal()); + sb.append(")"); + return null; + } + + @Override + public Void visitTraversalMethod_optional(final GremlinParser.TraversalMethod_optionalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_profile_Empty(final GremlinParser.TraversalMethod_profile_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_project(final GremlinParser.TraversalMethod_projectContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_properties(final GremlinParser.TraversalMethod_propertiesContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_property_Cardinality_Object_Object_Object(final GremlinParser.TraversalMethod_property_Cardinality_Object_Object_ObjectContext ctx) { + if (ctx.genericLiteralVarargs() == null || ctx.genericLiteralVarargs().getChildCount() == 0) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + sb.append("("); + if (ctx.traversalCardinalityArgument().variable() != null) + sb.append("(Cardinality) "); + visit(ctx.traversalCardinalityArgument()); + sb.append(", "); + tryAppendCastToObject(ctx.genericLiteralArgument(0)); + visit(ctx.genericLiteralArgument(0)); + sb.append(", "); + tryAppendCastToObject(ctx.genericLiteralArgument(1)); + visit(ctx.genericLiteralArgument(1)); + sb.append(")"); + return null; + } else { + return super.visitTraversalMethod_property_Cardinality_Object_Object_Object(ctx); + } + } + + @Override + public Void visitTraversalMethod_propertyMap(final GremlinParser.TraversalMethod_propertyMapContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_range_Scope_long_long(final GremlinParser.TraversalMethod_range_Scope_long_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_range_long_long(final GremlinParser.TraversalMethod_range_long_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_replace_Scope_String_String(final GremlinParser.TraversalMethod_replace_Scope_String_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_rTrim_Scope(final GremlinParser.TraversalMethod_rTrim_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_sack_Empty(final GremlinParser.TraversalMethod_sack_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_Column(final GremlinParser.TraversalMethod_select_ColumnContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_Pop_String(final GremlinParser.TraversalMethod_select_Pop_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_Pop_String_String_String(final GremlinParser.TraversalMethod_select_Pop_String_String_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_Pop_Traversal(final GremlinParser.TraversalMethod_select_Pop_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_String(final GremlinParser.TraversalMethod_select_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_String_String_String(final GremlinParser.TraversalMethod_select_String_String_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_select_Traversal(final GremlinParser.TraversalMethod_select_TraversalContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_skip_long(final GremlinParser.TraversalMethod_skip_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_skip_Scope_long(final GremlinParser.TraversalMethod_skip_Scope_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_split_Scope_String(final GremlinParser.TraversalMethod_split_Scope_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_substring_Scope_int(final GremlinParser.TraversalMethod_substring_Scope_intContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_substring_Scope_int_int(final GremlinParser.TraversalMethod_substring_Scope_int_intContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_sum_Empty(final GremlinParser.TraversalMethod_sum_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_sum_Scope(final GremlinParser.TraversalMethod_sum_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_tail_Empty(final GremlinParser.TraversalMethod_tail_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_tail_Scope(final GremlinParser.TraversalMethod_tail_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_tail_Scope_long(final GremlinParser.TraversalMethod_tail_Scope_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_tail_long(final GremlinParser.TraversalMethod_tail_longContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_toUpper_Scope(final GremlinParser.TraversalMethod_toUpper_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_toLower_Scope(final GremlinParser.TraversalMethod_toLower_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_tree_Empty(final GremlinParser.TraversalMethod_tree_EmptyContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_trim_Scope(final GremlinParser.TraversalMethod_trim_ScopeContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_unfold(final GremlinParser.TraversalMethod_unfoldContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_union(final GremlinParser.TraversalMethod_unionContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_value(final GremlinParser.TraversalMethod_valueContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_valueMap_String(final GremlinParser.TraversalMethod_valueMap_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_valueMap_boolean_String(final GremlinParser.TraversalMethod_valueMap_boolean_StringContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitTraversalMethod_values(final GremlinParser.TraversalMethod_valuesContext ctx) { + return handleGenerics(ctx); + } + + @Override + public Void visitClassType(final GremlinParser.ClassTypeContext ctx) { + sb.append("typeof(").append(ctx.getText()).append(")"); + return null; + } + + /** + * Steps with a {@code } defined need special handling to append generics. + */ + private Void handleGenerics(final ParseTree ctx) { + final String step = ctx.getChild(0).getText(); + sb.append(convertToPascalCase(step)); + + if (step.equals(GraphTraversal.Symbols.group) || step.equals(GraphTraversal.Symbols.valueMap)) + sb.append(""); + else + sb.append(""); + + for (int ix = 1; ix < ctx.getChildCount(); ix++) { + visit(ctx.getChild(ix)); + } + return null; + } + + @Override + protected String processGremlinSymbol(final String step) { + return SymbolHelper.toCSharp(step); + } + + /** + * The default behavior for this method is to call {@link #processGremlinSymbol(String)} but there really isn't a + * need to do that for C# because the mappings of the {@link SymbolHelper} don't apply to enums. + */ + @Override + protected void appendExplicitNaming(final String txt, final String prefix) { + if (!txt.startsWith(prefix + ".")) { + sb.append(prefix).append("."); + sb.append(convertToPascalCase(txt)); + } else { + final String[] split = txt.split("\\."); + sb.append(split[0]).append("."); + sb.append(convertToPascalCase(split[1])); + } + } + + private void tryAppendCastToString(final GremlinParser.StringNullableArgumentContext ctx) { + if (ctx.variable() != null || ctx.stringNullableLiteral().NullLiteral() != null) { + sb.append("(string) "); + } + } + + private void tryAppendCastToObject(final GremlinParser.GenericLiteralArgumentContext ctx) { + if (ctx.variable() != null || ctx.genericLiteral().nullLiteral() != null) + sb.append("(object) "); + } + + private boolean isCalledAsFirstStepInAnonymousTraversal(final ParseTree stepToTest) { + final ParseTree parent = stepToTest.getParent(); + final ParseTree parentParent = parent.getParent(); + final ParseTree firstStepOfNestedTraversal = parentParent.getChild(0).getChild(0); + final ParseTree parentParentParent = parentParent.getParent(); + + // the step is first if it matches the first step of the nested traversal and if the parent of the parent is + // a nested traversal + return stepToTest == firstStepOfNestedTraversal && parentParentParent instanceof GremlinParser.NestedTraversalContext; + } + + private String convertToPascalCase(final String txt) { + return txt.substring(0,1).toUpperCase() + txt.substring(1); + } + + static final class SymbolHelper { + + private final static Map TO_CS_MAP = new HashMap<>(); + private final static Map FROM_CS_MAP = new HashMap<>(); + + static { + TO_CS_MAP.put("graphml", "GraphML"); + TO_CS_MAP.put("graphson", "GraphSON"); + TO_CS_MAP.forEach((k, v) -> FROM_CS_MAP.put(v, k)); + } + + private SymbolHelper() { + // static methods only, do not instantiate + } + + public static String toCSharp(final String symbol) { + return TO_CS_MAP.getOrDefault(symbol, StringUtils.capitalize(symbol)); + } + + public static String toJava(final String symbol) { + return FROM_CS_MAP.getOrDefault(symbol, StringUtils.uncapitalize(symbol)); + } + + } +} diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/map/SumGlobalStep.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/map/SumGlobalStep.java index 21a61878ca2..a85c1c751fa 100644 --- a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/map/SumGlobalStep.java +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/map/SumGlobalStep.java @@ -23,12 +23,14 @@ import org.apache.tinkerpop.gremlin.process.traversal.Traverser; import org.apache.tinkerpop.gremlin.process.traversal.step.util.ReducingBarrierStep; import org.apache.tinkerpop.gremlin.process.traversal.traverser.TraverserRequirement; -import org.apache.tinkerpop.gremlin.util.function.ConstantSupplier; +import java.math.BigDecimal; +import java.math.BigInteger; import java.util.EnumSet; import java.util.Set; import java.util.function.BinaryOperator; +import static org.apache.tinkerpop.gremlin.util.NumberHelper.coerceTo; import static org.apache.tinkerpop.gremlin.util.NumberHelper.mul; /** @@ -68,7 +70,12 @@ public void processAllStarts() { @Override public S projectTraverser(final Traverser.Admin traverser) { - return (S) mul(traverser.get(), traverser.bulk()); + final S value = traverser.get(); + final long bulk = traverser.bulk(); + + // force the bulk to the type of the value so that mul doesn't arbitrarily widen the type of the Number + final Class clazz = null == value ? Long.class : value.getClass(); + return (S) mul(value, coerceTo(bulk, clazz)); } @Override diff --git a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/util/NumberHelper.java b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/util/NumberHelper.java index e4a2da8281a..272b7295213 100644 --- a/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/util/NumberHelper.java +++ b/gremlin-core/src/main/java/org/apache/tinkerpop/gremlin/util/NumberHelper.java @@ -561,6 +561,50 @@ public static Integer compare(final Number a, final Number b) { return getHelper(clazz).cmp.apply(a, b); } + /** + * Coerces the given number to the specified numeric type if it can fit into it. + * Otherwise, retains the original type. + * + * @param a the number to be coerced + * @param clazz the target numeric type class + * @return the coerced number in the specified type or the original type if it cannot fit + * @throws IllegalArgumentException if the specified numeric type is unsupported + */ + public static Number coerceTo(final Number a, final Class clazz) { + if (a.getClass().equals(clazz)) { + return a; + } else if (clazz.equals(Integer.class)) { + if (a.longValue() >= Integer.MIN_VALUE && a.longValue() <= Integer.MAX_VALUE) { + return a.intValue(); + } + } else if (clazz.equals(Long.class)) { + return a.longValue(); + } else if (clazz.equals(Float.class)) { + if (a.doubleValue() >= -Float.MAX_VALUE && a.doubleValue() <= Float.MAX_VALUE) { + return a.floatValue(); + } + } else if (clazz.equals(Double.class)) { + return a.doubleValue(); + } else if (clazz.equals(Byte.class)) { + if (a.longValue() >= Byte.MIN_VALUE && a.longValue() <= Byte.MAX_VALUE) { + return a.byteValue(); + } + } else if (clazz.equals(Short.class)) { + if (a.longValue() >= Short.MIN_VALUE && a.longValue() <= Short.MAX_VALUE) { + return a.shortValue(); + } + } else if (clazz.equals(BigInteger.class)) { + return NumberHelper.bigIntegerValue(a); + } else if (clazz.equals(BigDecimal.class)) { + return NumberHelper.bigDecimalValue(a); + } else { + throw new IllegalArgumentException("Unsupported numeric type: " + clazz); + } + + // return as-is since it didn't fit the type we wanted to coerce to + return a; + } + private static NumberHelper getHelper(final Class clazz) { if (clazz.equals(Byte.class)) { return BYTE_NUMBER_HELPER; diff --git a/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/language/translator/GremlinTranslatorTest.java b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/language/translator/GremlinTranslatorTest.java new file mode 100644 index 00000000000..45586345082 --- /dev/null +++ b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/language/translator/GremlinTranslatorTest.java @@ -0,0 +1,1160 @@ +/* + * Licensed to the Apache Software Foundation (ASF) under one + * or more contributor license agreements. See the NOTICE file + * distributed with this work for additional information + * regarding copyright ownership. The ASF licenses this file + * to you under the Apache License, Version 2.0 (the + * "License"); you may not use this file except in compliance + * with the License. You may obtain a copy of the License at + * + * http://www.apache.org/licenses/LICENSE-2.0 + * + * Unless required by applicable law or agreed to in writing, + * software distributed under the License is distributed on an + * "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY + * KIND, either express or implied. See the License for the + * specific language governing permissions and limitations + * under the License. + */ +package org.apache.tinkerpop.gremlin.language.translator; + +import org.junit.Test; +import org.junit.experimental.runners.Enclosed; +import org.junit.runner.RunWith; +import org.junit.runners.Parameterized; + +import java.util.Arrays; +import java.util.Collection; +import java.util.Collections; +import java.util.List; + +import static org.hamcrest.MatcherAssert.assertThat; +import static org.hamcrest.Matchers.*; +import static org.junit.Assert.assertEquals; + +@RunWith(Enclosed.class) +public class GremlinTranslatorTest { + + @RunWith(Parameterized.class) + public static class VariableTest { + + @Parameterized.Parameter(value = 0) + public String query; + + @Parameterized.Parameter(value = 1) + public List expectedVariables; + + @Parameterized.Parameters(name = "{0}") + public static Collection data() { + return Arrays.asList(new Object[][]{ + {"g.V(l1)", Collections.singletonList("l1")}, + {"g.V().hasLabel('person').has(x, y).as('a').out('knows').as('b').select('a', 'b')", Arrays.asList("x", "y")}, + {"g.V(x).map(out(y).count())", Arrays.asList("x", "y")}, + }); + } + + @Test + public void shouldExtractVariablesFromLanguage() { + final Translation translation = GremlinTranslator.translate(query, Translator.LANGUAGE); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromDotNet() { + final Translation translation = GremlinTranslator.translate(query, Translator.DOTNET); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromGo() { + final Translation translation = GremlinTranslator.translate(query, Translator.GO); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromGroovy() { + final Translation translation = GremlinTranslator.translate(query, Translator.GROOVY); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromJava() { + final Translation translation = GremlinTranslator.translate(query, Translator.JAVA); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromJavascript() { + final Translation translation = GremlinTranslator.translate(query, Translator.JAVASCRIPT); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + + @Test + public void shouldExtractVariablesFromPython() { + final Translation translation = GremlinTranslator.translate(query, Translator.PYTHON); + assertEquals(expectedVariables.size(), translation.getParameters().size()); + assertThat(translation.getParameters().toArray(), arrayContainingInAnyOrder(expectedVariables.toArray())); + } + } + + @RunWith(Parameterized.class) + public static class TranslationTest { + private final String query; + private final String expectedForLang; + private final String expectedForAnonymized; + private final String expectedForDotNet; + private final String expectedForGo; + private final String expectedForGroovy; + private final String expectedForJava; + private final String expectedForJavascript; + private final String expectedForPython; + + /** + * Test data where first element is the Gremlin query to translate and the following elements are the expected + * translations for each language. + *
    + *
  1. Language
    2. + *
  2. Anonymized
    3. + *
  3. .NET
    4. + *
  4. Go
    5. + *
  5. Groovy
    6. + *
  6. Java
    7. + *
  7. Javascript
    8. + *
  8. Python
    9. + *
+ * If the translation is expected end in error then just set the value to the expected error message. + */ + @Parameterized.Parameters(name = "{0}") + public static Collection data() { + return Arrays.asList(new Object[][]{ + {"g", + null, // language + null, // anonymized + null, // .NET + null, // Go + null, // Groovy + null, // Java + null, // Javascript + null}, // Python + {"g.with(\"x\")", + null, + "g.with(string0)", + "g.With(\"x\")", + "g.With(\"x\")", + null, + null, + "g.with_(\"x\")", + "g.with_('x')"}, + {"g.with(\"x\n\\\"yz\")", + null, + "g.with(string0)", + "g.With(\"x\n\\\"yz\")", + "g.With(\"x\n\\\"yz\")", + null, + null, + "g.with_(\"x\n\\\"yz\")", + "g.with_('x\n\\\"yz')"}, + {"g.with('x', 'xyz')", + null, + "g.with(string0, string1)", + "g.With(\"x\", \"xyz\")", + "g.With(\"x\", \"xyz\")", + null, + "g.with(\"x\", \"xyz\")", + "g.with_(\"x\", \"xyz\")", + "g.with_('x', 'xyz')"}, + {"g.with('x','xyz')", + "g.with('x', 'xyz')", + "g.with(string0, string1)", + "g.With(\"x\", \"xyz\")", + "g.With(\"x\", \"xyz\")", + "g.with('x', 'xyz')", + "g.with(\"x\", \"xyz\")", + "g.with_(\"x\", \"xyz\")", + "g.with_('x', 'xyz')"}, + {"g.with('x', '')", + null, + "g.with(string0, string1)", + "g.With(\"x\", \"\")", + "g.With(\"x\", \"\")", + null, + "g.with(\"x\", \"\")", + "g.with_(\"x\", \"\")", + "g.with_('x', '')"}, + {"g.with('x', ' ')", + null, + "g.with(string0, string1)", + "g.With(\"x\", \" \")", + "g.With(\"x\", \" \")", + null, + "g.with(\"x\", \" \")", + "g.with_(\"x\", \" \")", + "g.with_('x', ' ')"}, + {"g.with('x', 'x')", + null, + "g.with(string0, string0)", + "g.With(\"x\", \"x\")", + "g.With(\"x\", \"x\")", + null, + "g.with(\"x\", \"x\")", + "g.with_(\"x\", \"x\")", + "g.with_('x', 'x')"}, + {"g.with('x', null)", + null, + "g.with(string0, object0)", + "g.With(\"x\", null)", + "g.With(\"x\", nil)", + null, + "g.with(\"x\", null)", + "g.with_(\"x\", null)", + "g.with_('x', None)"}, + {"g.with('x', NaN)", + null, + "g.with(string0, number0)", + "g.With(\"x\", Double.NaN)", + "g.With(\"x\", math.NaN())", + null, + "g.with(\"x\", Double.NaN)", + "g.with_(\"x\", Number.NaN)", + "g.with_('x', float('nan'))"}, + {"g.with('x', Infinity)", + null, + "g.with(string0, number0)", + "g.With(\"x\", Double.PositiveInfinity)", + "g.With(\"x\", math.Inf(1))", + null, + "g.with(\"x\", Double.POSITIVE_INFINITY)", + "g.with_(\"x\", Number.POSITIVE_INFINITY)", + "g.with_('x', float('inf'))"}, + {"g.with('x', -Infinity)", + null, + "g.with(string0, number0)", + "g.With(\"x\", Double.NegativeInfinity)", + "g.With(\"x\", math.Inf(-1))", + null, + "g.with(\"x\", Double.NEGATIVE_INFINITY)", + "g.with_(\"x\", Number.NEGATIVE_INFINITY)", + "g.with_('x', float('-inf'))"}, + {"g.with('x', 1.0)", + null, + "g.with(string0, number0)", + "g.With(\"x\", 1.0)", + "g.With(\"x\", 1.0)", + null, + "g.with(\"x\", 1.0)", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)",}, + {"g.with('x', 1.0D)", + "g.with('x', 1.0d)", + "g.with(string0, double0)", + "g.With(\"x\", 1.0d)", + "g.With(\"x\", 1.0)", + "g.with('x', 1.0d)", + "g.with(\"x\", 1.0d)", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)"}, + {"g.with('x', 1.0d)", + null, + "g.with(string0, double0)", + "g.With(\"x\", 1.0d)", + "g.With(\"x\", 1.0)", + null, + "g.with(\"x\", 1.0d)", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)"}, + {"g.with('x', -1.0d)", + null, + "g.with(string0, double0)", + "g.With(\"x\", -1.0d)", + "g.With(\"x\", -1.0)", + null, + "g.with(\"x\", -1.0d)", + "g.with_(\"x\", -1.0)", + "g.with_('x', -1.0)"}, + {"g.with('x', 1.0F)", + "g.with('x', 1.0f)", + "g.with(string0, float0)", + "g.With(\"x\", 1.0f)", + "g.With(\"x\", 1.0)", + "g.with('x', 1.0f)", + "g.with(\"x\", 1.0f)", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)"}, + {"g.with('x', 1.0f)", + null, + "g.with(string0, float0)", + "g.With(\"x\", 1.0f)", + "g.With(\"x\", 1.0)", + null, + "g.with(\"x\", 1.0f)", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)"}, + {"g.with('x', -1.0F)", + "g.with('x', -1.0f)", + "g.with(string0, float0)", + "g.With(\"x\", -1.0f)", + "g.With(\"x\", -1.0)", + "g.with('x', -1.0f)", + "g.with(\"x\", -1.0f)", + "g.with_(\"x\", -1.0)", + "g.with_('x', -1.0)"}, + {"g.with('x', 1.0m)", + null, + "g.with(string0, bigdecimal0)", + "g.With(\"x\", (decimal) 1.0)", + "g.With(\"x\", 1.0)", + "g.with('x', 1.0g)", + "g.with(\"x\", new BigDecimal(\"1.0\"))", + "g.with_(\"x\", 1.0)", + "g.with_('x', 1.0)"}, + {"g.with('x', -1.0m)", + null, + "g.with(string0, bigdecimal0)", + "g.With(\"x\", (decimal) -1.0)", + "g.With(\"x\", -1.0)", + "g.with('x', -1.0g)", + "g.with(\"x\", new BigDecimal(\"-1.0\"))", + "g.with_(\"x\", -1.0)", + "g.with_('x', -1.0)"}, + {"g.with('x', -1.0M)", + "g.with('x', -1.0m)", + "g.with(string0, bigdecimal0)", + "g.With(\"x\", (decimal) -1.0)", + "g.With(\"x\", -1.0)", + "g.with('x', -1.0g)", + "g.with(\"x\", new BigDecimal(\"-1.0\"))", + "g.with_(\"x\", -1.0)", + "g.with_('x', -1.0)"}, + {"g.with('x', 1b)", + null, + "g.with(string0, byte0)", + "g.With(\"x\", (byte) 1)", + "g.With(\"x\", 1)", + "g.with('x', new Byte(1))", + "g.with(\"x\", new Byte(1))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', 1B)", + "g.with('x', 1b)", + "g.with(string0, byte0)", + "g.With(\"x\", (byte) 1)", + "g.With(\"x\", 1)", + "g.with('x', new Byte(1))", + "g.with(\"x\", new Byte(1))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', -1b)", + null, + "g.with(string0, byte0)", + "g.With(\"x\", (byte) -1)", + "g.With(\"x\", -1)", + "g.with('x', new Byte(-1))", + "g.with(\"x\", new Byte(-1))", + "g.with_(\"x\", -1)", + "g.with_('x', -1)"}, + {"g.with('x', 1s)", + null, + "g.with(string0, short0)", + "g.With(\"x\", (short) 1)", + "g.With(\"x\", 1)", + "g.with('x', new Short(1))", + "g.with(\"x\", new Short(1))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', -1s)", + null, + "g.with(string0, short0)", + "g.With(\"x\", (short) -1)", + "g.With(\"x\", -1)", + "g.with('x', new Short(-1))", + "g.with(\"x\", new Short(-1))", + "g.with_(\"x\", -1)", + "g.with_('x', -1)"}, + {"g.with('x', 1S)", + "g.with('x', 1s)", + "g.with(string0, short0)", + "g.With(\"x\", (short) 1)", + "g.With(\"x\", 1)", + "g.with('x', new Short(1))", + "g.with(\"x\", new Short(1))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', 1i)", + null, + "g.with(string0, integer0)", + "g.With(\"x\", 1)", + "g.With(\"x\", 1)", + null, + "g.with(\"x\", 1)", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', 1I)", + "g.with('x', 1i)", + "g.with(string0, integer0)", + "g.With(\"x\", 1)", + "g.With(\"x\", 1)", + "g.with('x', 1i)", + "g.with(\"x\", 1)", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', -1i)", + null, + "g.with(string0, integer0)", + "g.With(\"x\", -1)", + "g.With(\"x\", -1)", + null, + "g.with(\"x\", -1)", + "g.with_(\"x\", -1)", + "g.with_('x', -1)"}, + {"g.with('x', 1l)", + null, + "g.with(string0, long0)", + "g.With(\"x\", 1l)", + "g.With(\"x\", 1)", + null, + "g.with(\"x\", 1l)", + "g.with_(\"x\", 1)", + "g.with_('x', long(1))"}, + {"g.with('x', 1L)", + "g.with('x', 1l)", + "g.with(string0, long0)", + "g.With(\"x\", 1l)", + "g.With(\"x\", 1)", + "g.with('x', 1l)", + "g.with(\"x\", 1l)", + "g.with_(\"x\", 1)", + "g.with_('x', long(1))"}, + {"g.with('x', -1l)", + null, + "g.with(string0, long0)", + "g.With(\"x\", -1l)", + "g.With(\"x\", -1)", + null, + "g.with(\"x\", -1l)", + "g.with_(\"x\", -1)", + "g.with_('x', long(-1))"}, + {"g.with('x', 1n)", + null, + "g.with(string0, biginteger0)", + "g.With(\"x\", new BigInteger(1))", + "g.With(\"x\", 1)", + "g.with('x', 1g)", + "g.with(\"x\", new BigInteger(\"1\"))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', 1N)", + "g.with('x', 1n)", + "g.with(string0, biginteger0)", + "g.With(\"x\", new BigInteger(1))", + "g.With(\"x\", 1)", + "g.with('x', 1g)", + "g.with(\"x\", new BigInteger(\"1\"))", + "g.with_(\"x\", 1)", + "g.with_('x', 1)"}, + {"g.with('x', -1n)", + null, + "g.with(string0, biginteger0)", + "g.With(\"x\", new BigInteger(-1))", + "g.With(\"x\", -1)", + "g.with('x', -1g)", + "g.with(\"x\", new BigInteger(\"-1\"))", + "g.with_(\"x\", -1)", + "g.with_('x', -1)"}, + {"g.with('x', datetime('2023-08-02T00:00:00Z'))", + null, + "g.with(string0, date0)", + "g.With(\"x\", DateTimeOffset.FromUnixTimeMilliseconds(1690934400000))", + "g.With(\"x\", time.UnixMilli(1690934400000))", + null, + "g.with(\"x\", new Date(1690934400000))", + "g.with_(\"x\", new Date(1690934400000))", + "g.with_('x', datetime.datetime.utcfromtimestamp(1690934400000 / 1000.0))"}, + {"g.with('x', [x: 1])", + "g.with('x', [x:1])", + "g.with(string0, map0)", + "g.With(\"x\", new Dictionary {{ \"x\", 1 }})", + "g.With(\"x\", map[interface{}]interface{}{\"x\": 1 })", + "g.with('x', [x:1])", + "g.with(\"x\", new LinkedHashMap() {{ put(\"x\", 1); }})", + "g.with_(\"x\", new Map([[\"x\", 1]]))", + "g.with_('x', { 'x': 1 })"}, + {"g.with('x', [x:1, new:2])", + null, + "g.with(string0, map0)", + "g.With(\"x\", new Dictionary {{ \"x\", 1 }, { \"new\", 2 }})", + "g.With(\"x\", map[interface{}]interface{}{\"x\": 1, \"new\": 2 })", + null, + "g.with(\"x\", new LinkedHashMap() {{ put(\"x\", 1); put(\"new\", 2); }})", + "g.with_(\"x\", new Map([[\"x\", 1], [\"new\", 2]]))", + "g.with_('x', { 'x': 1, 'new': 2 })"}, + {"g.with('x', [\"x\":1])", + null, + "g.with(string0, map0)", + "g.With(\"x\", new Dictionary {{ \"x\", 1 }})", + "g.With(\"x\", map[interface{}]interface{}{\"x\": 1 })", + null, + "g.with(\"x\", new LinkedHashMap() {{ put(\"x\", 1); }})", + "g.with_(\"x\", new Map([[\"x\", 1]]))", + "g.with_('x', { 'x': 1 })"}, + {"g.with('x', [1:'x'])", + null, + "g.with(string0, map0)", + "g.With(\"x\", new Dictionary {{ 1, \"x\" }})", + "g.With(\"x\", map[interface{}]interface{}{1: \"x\" })", + null, + "g.with(\"x\", new LinkedHashMap() {{ put(1, \"x\"); }})", + "g.with_(\"x\", new Map([[1, \"x\"]]))", + "g.with_('x', { 1: 'x' })"}, + {"g.with('x', {1, 'x'})", + null, + "g.with(string0, set0)", + "g.With(\"x\", new HashSet { 1, \"x\" })", + "g.With(\"x\", gremlingo.NewSimpleSet(1, \"x\"))", + null, + "g.with(\"x\", new HashSet() {{ add(1); add(\"x\"); }})", + "g.with_(\"x\", new Set([1, \"x\"]))", + "g.with_('x', {1, 'x'})"}, + {"g.with('x', [1, 'x'])", + null, + "g.with(string0, list0)", + "g.With(\"x\", new List { 1, \"x\" })", + "g.With(\"x\", []interface{}{1, \"x\"})", + null, + "g.with(\"x\", new ArrayList() {{ add(1); add(\"x\"); }})", + "g.with_(\"x\", [1, \"x\"])", + "g.with_('x', [1, 'x'])"}, + {"g.with('x', 0..5)", + null, + "g.with(string0, number0..number1)", + ".NET does not support range literals", + "Go does not support range literals", + "g.with('x', 0..5)", + "Java does not support range literals", + "Javascript does not support range literals", + "Python does not support range literals"}, + {"g.withBulk(false)", + null, + "g.withBulk(boolean0)", + "g.WithBulk(false)", + "g.WithBulk(false)", + null, + null, + null, + "g.with_bulk(False)"}, + {"g.withBulk(true)", + null, + "g.withBulk(boolean0)", + "g.WithBulk(true)", + "g.WithBulk(true)", + null, + null, + null, + "g.with_bulk(True)"}, + {"g.withBulk( true )", + "g.withBulk(true)", + "g.withBulk(boolean0)", + "g.WithBulk(true)", + "g.WithBulk(true)", + "g.withBulk(true)", + "g.withBulk(true)", + "g.withBulk(true)", + "g.with_bulk(True)"}, + {"g.withBulk(x)", + null, + null, + "g.WithBulk(x)", + "g.WithBulk(x)", + null, + null, + null, + "g.with_bulk(x)"}, + {"g.withStrategies(ReadOnlyStrategy)", + null, + null, + "g.WithStrategies(new ReadOnlyStrategy())", + "g.WithStrategies(gremlingo.ReadOnlyStrategy())", + null, + "g.withStrategies(ReadOnlyStrategy.instance())", + "g.withStrategies(new ReadOnlyStrategy())", + "g.with_strategies(ReadOnlyStrategy())"}, + {"g.withStrategies(new SeedStrategy(seed:10000))", + null, + "g.withStrategies(new SeedStrategy(seed:number0))", + "g.WithStrategies(new SeedStrategy(seed: 10000))", + "g.WithStrategies(gremlingo.SeedStrategy(gremlingo.SeedStrategyConfig{Seed: 10000}))", + null, + "g.withStrategies(SeedStrategy.build().seed(10000).create())", + "g.withStrategies(new SeedStrategy({seed: 10000}))", + "g.with_strategies(SeedStrategy(seed=10000))"}, + {"g.withStrategies(new PartitionStrategy(includeMetaProperties: true, partitionKey:'x'))", + "g.withStrategies(new PartitionStrategy(includeMetaProperties:true, partitionKey:'x'))", + "g.withStrategies(new PartitionStrategy(includeMetaProperties:boolean0, partitionKey:string0))", + "g.WithStrategies(new PartitionStrategy(includeMetaProperties: true, partitionKey: \"x\"))", + "g.WithStrategies(gremlingo.PartitionStrategy(gremlingo.PartitionStrategyConfig{IncludeMetaProperties: true, PartitionKey: \"x\"}))", + "g.withStrategies(new PartitionStrategy(includeMetaProperties:true, partitionKey:'x'))", + "g.withStrategies(PartitionStrategy.build().includeMetaProperties(true).partitionKey(\"x\").create())", + "g.withStrategies(new PartitionStrategy({includeMetaProperties: true, partitionKey: \"x\"}))", + "g.with_strategies(PartitionStrategy(include_meta_properties=True, partition_key='x'))"}, + {"g.withStrategies(new SubgraphStrategy(vertices:__.has('name', 'vadas'), edges: has('weight', gt(0.5))))", + "g.withStrategies(new SubgraphStrategy(vertices:__.has('name', 'vadas'), edges:__.has('weight', P.gt(0.5))))", + "g.withStrategies(new SubgraphStrategy(vertices:__.has(string0, string1), edges:__.has(string2, P.gt(number0))))", + "g.WithStrategies(new SubgraphStrategy(vertices: __.Has(\"name\", \"vadas\"), edges: __.Has(\"weight\", P.Gt(0.5))))", + "g.WithStrategies(gremlingo.SubgraphStrategy(gremlingo.SubgraphStrategyConfig{Vertices: gremlingo.T__.Has(\"name\", \"vadas\"), Edges: gremlingo.T__.Has(\"weight\", gremlingo.P.Gt(0.5))}))", + "g.withStrategies(new SubgraphStrategy(vertices:__.has('name', 'vadas'), edges:__.has('weight', P.gt(0.5))))", + "g.withStrategies(SubgraphStrategy.build().vertices(__.has(\"name\", \"vadas\")).edges(__.has(\"weight\", P.gt(0.5))).create())", + "g.withStrategies(new SubgraphStrategy({vertices: __.has(\"name\", \"vadas\"), edges: __.has(\"weight\", P.gt(0.5))}))", + "g.with_strategies(SubgraphStrategy(vertices=__.has('name', 'vadas'), edges=__.has('weight', P.gt(0.5))))"}, + {"g.withStrategies(new SubgraphStrategy(checkAdjacentVertices: false,\n" + + " vertices: __.has(\"name\", P.within(\"josh\", \"lop\", \"ripple\")),\n" + + " edges: __.or(__.has(\"weight\", 0.4).hasLabel(\"created\"),\n" + + " __.has(\"weight\", 1.0).hasLabel(\"created\")))).E()", + "g.withStrategies(new SubgraphStrategy(checkAdjacentVertices:false, vertices:__.has(\"name\", P.within(\"josh\", \"lop\", \"ripple\")), edges:__.or(__.has(\"weight\", 0.4).hasLabel(\"created\"), __.has(\"weight\", 1.0).hasLabel(\"created\")))).E()", + "g.withStrategies(new SubgraphStrategy(checkAdjacentVertices:boolean0, vertices:__.has(string0, P.within(string1, string2, string3)), edges:__.or(__.has(string4, number0).hasLabel(string5), __.has(string4, number1).hasLabel(string5)))).E()", + "g.WithStrategies(new SubgraphStrategy(checkAdjacentVertices: false, vertices: __.Has(\"name\", P.Within(\"josh\", \"lop\", \"ripple\")), edges: __.Or(__.Has(\"weight\", 0.4).HasLabel(\"created\"), __.Has(\"weight\", 1.0).HasLabel(\"created\")))).E()", + "g.WithStrategies(gremlingo.SubgraphStrategy(gremlingo.SubgraphStrategyConfig{CheckAdjacentVertices: false, Vertices: gremlingo.T__.Has(\"name\", gremlingo.P.Within(\"josh\", \"lop\", \"ripple\")), Edges: gremlingo.T__.Or(gremlingo.T__.Has(\"weight\", 0.4).HasLabel(\"created\"), gremlingo.T__.Has(\"weight\", 1.0).HasLabel(\"created\"))})).E()", + "g.withStrategies(new SubgraphStrategy(checkAdjacentVertices:false, vertices:__.has(\"name\", P.within(\"josh\", \"lop\", \"ripple\")), edges:__.or(__.has(\"weight\", 0.4).hasLabel(\"created\"), __.has(\"weight\", 1.0).hasLabel(\"created\")))).E()", + "g.withStrategies(SubgraphStrategy.build().checkAdjacentVertices(false).vertices(__.has(\"name\", P.within(\"josh\", \"lop\", \"ripple\"))).edges(__.or(__.has(\"weight\", 0.4).hasLabel(\"created\"), __.has(\"weight\", 1.0).hasLabel(\"created\"))).create()).E()", + "g.withStrategies(new SubgraphStrategy({checkAdjacentVertices: false, vertices: __.has(\"name\", P.within(\"josh\", \"lop\", \"ripple\")), edges: __.or(__.has(\"weight\", 0.4).hasLabel(\"created\"), __.has(\"weight\", 1.0).hasLabel(\"created\"))})).E()", + "g.with_strategies(SubgraphStrategy(check_adjacent_vertices=False, vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).E()"}, + {"g.withStrategies(new PartitionStrategy(partitionKey: \"_partition\", writePartition: \"a\", readPartitions: [\"a\",\"b\"])).V().values(\"name\")", + "g.withStrategies(new PartitionStrategy(partitionKey:\"_partition\", writePartition:\"a\", readPartitions:[\"a\", \"b\"])).V().values(\"name\")", + "g.withStrategies(new PartitionStrategy(partitionKey:string0, writePartition:string1, readPartitions:list0)).V().values(string2)", + "g.WithStrategies(new PartitionStrategy(partitionKey: \"_partition\", writePartition: \"a\", readPartitions: new HashSet { \"a\", \"b\" })).V().Values(\"name\")", + "g.WithStrategies(gremlingo.PartitionStrategy(gremlingo.PartitionStrategyConfig{PartitionKey: \"_partition\", WritePartition: \"a\", ReadPartitions: gremlingo.NewSimpleSet(\"a\", \"b\")})).V().Values(\"name\")", + "g.withStrategies(new PartitionStrategy(partitionKey:\"_partition\", writePartition:\"a\", readPartitions:[\"a\", \"b\"])).V().values(\"name\")", + "g.withStrategies(PartitionStrategy.build().partitionKey(\"_partition\").writePartition(\"a\").readPartitions(new ArrayList() {{ add(\"a\"); add(\"b\"); }}).create()).V().values(\"name\")", + "g.withStrategies(new PartitionStrategy({partitionKey: \"_partition\", writePartition: \"a\", readPartitions: [\"a\", \"b\"]})).V().values(\"name\")", + "g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a', 'b'])).V().values('name')"}, + {"g.withoutStrategies(ReadOnlyStrategy)", + null, + null, + "g.WithoutStrategies(typeof(ReadOnlyStrategy))", + "g.WithoutStrategies(ReadOnlyStrategy)", // go - needs TINKERPOP-3055 + null, + "g.withoutStrategies(ReadOnlyStrategy.class)", + "g.withoutStrategies(ReadOnlyStrategy)", // javascript needs TINKERPOP-3055 + "g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.ReadOnlyStrategy')])"}, + {"g.withoutStrategies(ReadOnlyStrategy, PathRetractionStrategy, FilterRankingStrategy)", + null, + null, + "g.WithoutStrategies(typeof(ReadOnlyStrategy), typeof(PathRetractionStrategy), typeof(FilterRankingStrategy))", + "g.WithoutStrategies(ReadOnlyStrategy, PathRetractionStrategy, FilterRankingStrategy)", // go - needs TINKERPOP-3055 + null, + "g.withoutStrategies(ReadOnlyStrategy.class, PathRetractionStrategy.class, FilterRankingStrategy.class)", + "g.withoutStrategies(ReadOnlyStrategy, PathRetractionStrategy, FilterRankingStrategy)", // javascript - needs TINKERPOP-3055 + "g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.ReadOnlyStrategy'), GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.PathRetractionStrategy'), GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.FilterRankingStrategy')])"}, + {"g.inject(0..5)", + null, + "g.inject(number0..number1)", + ".NET does not support range literals", + "Go does not support range literals", + "g.inject(0..5)", + "Java does not support range literals", + "Javascript does not support range literals", + "Python does not support range literals"}, + {"g.inject(1694017707000).asDate()", + null, + "g.inject(number0).asDate()", + "g.Inject(1694017707000).AsDate()", + "g.Inject(1694017707000).AsDate()", + null, + null, + null, + "g.inject(long(1694017707000)).as_date()"}, + {"g.V().hasLabel(null)", + null, + "g.V().hasLabel(string0)", + "g.V().HasLabel((string) null)", + "g.V().HasLabel(nil)", + null, + null, + null, + "g.V().has_label(None)",}, + {"g.V().hasLabel('person')", + null, + "g.V().hasLabel(string0)", + "g.V().HasLabel(\"person\")", + "g.V().HasLabel(\"person\")", + "g.V().hasLabel('person')", + "g.V().hasLabel(\"person\")", + "g.V().hasLabel(\"person\")", + "g.V().has_label('person')"}, + {"g.V().hasLabel('person', 'software', 'class')", + null, + "g.V().hasLabel(string0, string1, string2)", + "g.V().HasLabel(\"person\", \"software\", \"class\")", + "g.V().HasLabel(\"person\", \"software\", \"class\")", + "g.V().hasLabel('person', 'software', 'class')", + "g.V().hasLabel(\"person\", \"software\", \"class\")", + "g.V().hasLabel(\"person\", \"software\", \"class\")", + "g.V().has_label('person', 'software', 'class')"}, + {"g.V().hasLabel(null, 'software', 'class')", + null, + "g.V().hasLabel(string0, string1, string2)", + "g.V().HasLabel(null, \"software\", \"class\")", + "g.V().HasLabel(nil, \"software\", \"class\")", + "g.V().hasLabel(null, 'software', 'class')", + "g.V().hasLabel(null, \"software\", \"class\")", + "g.V().hasLabel(null, \"software\", \"class\")", + "g.V().has_label(None, 'software', 'class')"}, + {"g.V().map(__.out().count())", + null, + null, + "g.V().Map(__.Out().Count())", + "g.V().Map(gremlingo.T__.Out().Count())", + null, + null, + null, + null}, + {"g.V().has(null, null)", + null, + "g.V().has(string0, object0)", + "g.V().Has((string) null, (object) null)", + "g.V().Has(nil, nil)", + null, + null, + null, + "g.V().has(None, None)"}, + {"g.V().map(out().count())", + "g.V().map(__.out().count())", + "g.V().map(__.out().count())", + "g.V().Map(__.Out().Count())", + "g.V().Map(gremlingo.T__.Out().Count())", + "g.V().map(__.out().count())", + "g.V().map(__.out().count())", + "g.V().map(__.out().count())", + "g.V().map(__.out().count())"}, + {"g.V().fold().count(local)", + "g.V().fold().count(Scope.local)", + "g.V().fold().count(Scope.local)", + "g.V().Fold().Count(Scope.Local)", + "g.V().Fold().Count(gremlingo.Scope.Local)", + "g.V().fold().count(Scope.local)", + "g.V().fold().count(Scope.local)", + "g.V().fold().count(Scope.local)", + "g.V().fold().count(Scope.local)"}, + {"g.V().fold().count(Scope.local)", + null, + null, + "g.V().Fold().Count(Scope.Local)", + "g.V().Fold().Count(gremlingo.Scope.Local)", + null, + null, + null, + null}, + {"g.V().has(T.id, 1)", + null, + "g.V().has(T.id, number0)", + "g.V().Has(T.Id, 1)", + "g.V().Has(gremlingo.T.Id, 1)", + null, + null, + null, + "g.V().has(T.id_, 1)"}, + {"g.V().has(id, 1)", + "g.V().has(T.id, 1)", + "g.V().has(T.id, number0)", + "g.V().Has(T.Id, 1)", + "g.V().Has(gremlingo.T.Id, 1)", + "g.V().has(T.id, 1)", + "g.V().has(T.id, 1)", + "g.V().has(T.id, 1)", + "g.V().has(T.id_, 1)"}, + {"g.V().has(\"name\", P.within(\"josh\",\"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(string0, P.within(string1, string2))", + "g.V().Has(\"name\", P.Within(\"josh\", \"stephen\"))", + "g.V().Has(\"name\", gremlingo.P.Within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has('name', P.within('josh', 'stephen'))"}, + {"g.V().has(\"name\", P.eq(\"josh\"))", + null, + "g.V().has(string0, P.eq(string1))", + "g.V().Has(\"name\", P.Eq(\"josh\"))", + "g.V().Has(\"name\", gremlingo.P.Eq(\"josh\"))", + null, + null, + null, + "g.V().has('name', P.eq('josh'))"}, + {"g.V().has(\"name\", P.eq(\"josh\").negate())", + null, + "g.V().has(string0, P.eq(string1).negate())", + "g.V().Has(\"name\", P.Eq(\"josh\").Negate())", + "g.V().Has(\"name\", gremlingo.P.Eq(\"josh\").Negate())", + null, + null, + null, + "g.V().has('name', P.eq('josh').negate())"}, + {"g.V().has(\"name\", P.within())", + null, + "g.V().has(string0, P.within())", + "g.V().Has(\"name\", P.Within())", + "g.V().Has(\"name\", gremlingo.P.Within())", + null, + null, + null, + "g.V().has('name', P.within())"}, + {"g.V().has(\"name\", P.within(\"josh\",\"stephen\").or(eq(\"vadas\")))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\").or(P.eq(\"vadas\")))", + "g.V().has(string0, P.within(string1, string2).or(P.eq(string3)))", + "g.V().Has(\"name\", P.Within(\"josh\", \"stephen\").Or(P.Eq(\"vadas\")))", + "g.V().Has(\"name\", gremlingo.P.Within(\"josh\", \"stephen\").Or(gremlingo.P.Eq(\"vadas\")))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\").or(P.eq(\"vadas\")))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\").or(P.eq(\"vadas\")))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\").or(P.eq(\"vadas\")))", + "g.V().has('name', P.within('josh', 'stephen').or_(P.eq('vadas')))"}, + {"g.V().has(\"name\", within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(string0, P.within(string1, string2))", + "g.V().Has(\"name\", P.Within(\"josh\", \"stephen\"))", + "g.V().Has(\"name\", gremlingo.P.Within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has(\"name\", P.within(\"josh\", \"stephen\"))", + "g.V().has('name', P.within('josh', 'stephen'))"}, + {"g.V().has(\"name\", TextP.containing(\"j\").negate())", + null, + "g.V().has(string0, TextP.containing(string1).negate())", + "g.V().Has(\"name\", TextP.Containing(\"j\").Negate())", + "g.V().Has(\"name\", gremlingo.TextP.Containing(\"j\").Negate())", + null, + null, + null, + "g.V().has('name', TextP.containing('j').negate())"}, + {"g.V().hasLabel(\"person\").has(\"age\", P.not(P.lte(10).and(P.not(P.between(11, 20)))).and(P.lt(29).or(P.eq(35)))).values(\"name\")", + null, + "g.V().hasLabel(string0).has(string1, P.not(P.lte(number0).and(P.not(P.between(number1, number2)))).and(P.lt(number3).or(P.eq(number4)))).values(string2)", + "g.V().HasLabel(\"person\").Has(\"age\", P.Not(P.Lte(10).And(P.Not(P.Between(11, 20)))).And(P.Lt(29).Or(P.Eq(35)))).Values(\"name\")", + "g.V().HasLabel(\"person\").Has(\"age\", gremlingo.P.Not(gremlingo.P.Lte(10).And(gremlingo.P.Not(gremlingo.P.Between(11, 20)))).And(gremlingo.P.Lt(29).Or(gremlingo.P.Eq(35)))).Values(\"name\")", + null, + null, + null, + "g.V().has_label('person').has('age', P.not_(P.lte(10).and_(P.not_(P.between(11, 20)))).and_(P.lt(29).or_(P.eq(35)))).values('name')"}, + {"g.V().has(\"name\", containing(\"j\"))", + "g.V().has(\"name\", TextP.containing(\"j\"))", + "g.V().has(string0, TextP.containing(string1))", + "g.V().Has(\"name\", TextP.Containing(\"j\"))", + "g.V().Has(\"name\", gremlingo.TextP.Containing(\"j\"))", + "g.V().has(\"name\", TextP.containing(\"j\"))", + "g.V().has(\"name\", TextP.containing(\"j\"))", + "g.V().has(\"name\", TextP.containing(\"j\"))", + "g.V().has('name', TextP.containing('j'))"}, + {"g.V().property(set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set, string0, string1)", + "g.V().Property(Cardinality.Set, \"name\", \"stephen\")", + "g.V().Property(gremlingo.Cardinality.Set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set, \"name\", \"stephen\")", + "g.V().property(Cardinality.set_, 'name', 'stephen')"}, + {"g.V().property(Cardinality.set, \"name\", \"stephen\")", + null, + "g.V().property(Cardinality.set, string0, string1)", + "g.V().Property(Cardinality.Set, \"name\", \"stephen\")", + "g.V().Property(gremlingo.Cardinality.Set, \"name\", \"stephen\")", + null, + null, + null, + "g.V().property(Cardinality.set_, 'name', 'stephen')"}, + {"g.V().has('name', 'foo').property([\"name\":Cardinality.set(\"bar\"), \"age\":43])", + null, + "g.V().has(string0, string1).property(map0)", + "g.V().Has(\"name\", \"foo\").Property(new Dictionary {{ \"name\", CardinalityValue.Set(\"bar\") }, { \"age\", 43 }})", + "g.V().Has(\"name\", \"foo\").Property(map[interface{}]interface{}{\"name\": gremlingo.CardinalityValue.Set(\"bar\"), \"age\": 43 })", + null, + "g.V().has(\"name\", \"foo\").property(new LinkedHashMap() {{ put(\"name\", Cardinality.set(\"bar\")); put(\"age\", 43); }})", + "g.V().has(\"name\", \"foo\").property(new Map([[\"name\", CardinalityValue.set(\"bar\")], [\"age\", 43]]))", + "g.V().has('name', 'foo').property({ 'name': CardinalityValue.set_('bar'), 'age': 43 })"}, + {"g.V(new Vertex(1, \"person\")).limit(1)", + null, + "g.V(new Vertex(number0, string0)).limit(number0)", + "g.V(new Vertex(1, \"person\")).Limit(1)", + "g.V(gremlingo.Vertex{Element{1, \"person\"}}).Limit(1)", + "g.V(new ReferenceVertex(1, \"person\")).limit(1)", + "g.V(new ReferenceVertex(1, \"person\")).limit(1)", + "g.V(new Vertex(1, \"person\")).limit(1)", + "g.V(Vertex(1, 'person')).limit(1)",}, + {"g.V().both().properties().dedup().hasKey(\"age\").value()", + null, + "g.V().both().properties().dedup().hasKey(string0).value()", + "g.V().Both().Properties().Dedup().HasKey(\"age\").Value()", + "g.V().Both().Properties().Dedup().HasKey(\"age\").Value()", + null, + null, + null, + "g.V().both().properties().dedup().has_key('age').value()",}, + {"g.V().connectedComponent().with(ConnectedComponent.propertyName, \"component\")", + "g.V().connectedComponent().with(ConnectedComponent.propertyName, \"component\")", + "g.V().connectedComponent().with(ConnectedComponent.propertyName, string0)", + "g.V().ConnectedComponent().With(ConnectedComponent.PropertyName, \"component\")", + "g.V().ConnectedComponent().With(ConnectedComponent.PropertyName, \"component\")", + "g.V().connectedComponent().with(ConnectedComponent.propertyName, \"component\")", + "g.V().connectedComponent().with(ConnectedComponent.propertyName, \"component\")", + "g.V().connectedComponent().with_(ConnectedComponent.propertyName, \"component\")", + "g.V().connected_component().with_(ConnectedComponent.property_name, 'component')"}, + {"g.withSideEffect(\"c\", xx2).withSideEffect(\"m\", xx3).mergeE(xx1).option(Merge.onCreate, __.select(\"c\")).option(Merge.onMatch, __.select(\"m\"))", + null, + "g.withSideEffect(string0, xx2).withSideEffect(string1, xx3).mergeE(map0).option(Merge.onCreate, __.select(string0)).option(Merge.onMatch, __.select(string1))", + "g.WithSideEffect(\"c\", xx2).WithSideEffect(\"m\", xx3).MergeE((IDictionary) xx1).Option(Merge.OnCreate, (ITraversal) __.Select(\"c\")).Option(Merge.OnMatch, (ITraversal) __.Select(\"m\"))", + "g.WithSideEffect(\"c\", xx2).WithSideEffect(\"m\", xx3).MergeE(xx1).Option(gremlingo.Merge.OnCreate, gremlingo.T__.Select(\"c\")).Option(gremlingo.Merge.OnMatch, gremlingo.T__.Select(\"m\"))", + null, + null, + null, + "g.with_side_effect('c', xx2).with_side_effect('m', xx3).merge_e(xx1).option(Merge.on_create, __.select('c')).option(Merge.on_match, __.select('m'))"}, + {"g.withSack(1.0, Operator.sum).V(vid1).local(__.out(\"knows\").barrier(Barrier.normSack)).in(\"knows\").barrier().sack()", + null, + "g.withSack(number0, Operator.sum).V(vid1).local(__.out(string0).barrier(Barrier.normSack)).in(string0).barrier().sack()", + "g.WithSack(1.0, Operator.Sum).V(vid1).Local(__.Out(\"knows\").Barrier(Barrier.NormSack)).In(\"knows\").Barrier().Sack()", + "g.WithSack(1.0, gremlingo.Operator.Sum).V(vid1).Local(gremlingo.T__.Out(\"knows\").Barrier(gremlingo.Barrier.NormSack)).In(\"knows\").Barrier().Sack()", + null, + null, + "g.withSack(1.0, Operator.sum).V(vid1).local(__.out(\"knows\").barrier(Barrier.normSack)).in_(\"knows\").barrier().sack()", + "g.with_sack(1.0, Operator.sum_).V(vid1).local(__.out('knows').barrier(Barrier.norm_sack)).in_('knows').barrier().sack()",}, + {"g.V(1, 2, 3)", + null, + "g.V(number0, number1, number2)", + null, + null, + null, + null, + null, + null}, + {"g.io(\"data/tinkerpop-modern.xml\").with(IO.reader, IO.graphml).read()", + null, + "g.io(string0).with(IO.reader, IO.graphml).read()", + "g.Io(\"data/tinkerpop-modern.xml\").With(IO.Reader, IO.GraphML).Read()", + "g.Io(\"data/tinkerpop-modern.xml\").With(gremlingo.IO.Reader, gremlingo.IO.Graphml).Read()", + null, + null, + "g.io(\"data/tinkerpop-modern.xml\").with_(IO.reader, IO.graphml).read()", + "g.io('data/tinkerpop-modern.xml').with_(IO.reader, IO.graphml).read()"}, + {"g.V().limit(1)", + null, + "g.V().limit(number0)", + "g.V().Limit(1)", + "g.V().Limit(1)", + null, + null, + null, + null}, + {"g.V().group()", + null, + null, + "g.V().Group()", + "g.V().Group()", + null, + null, + null, + null}, + {"g.V().project(\"k\", \"v\").by().by(fold())", + "g.V().project(\"k\", \"v\").by().by(__.fold())", + "g.V().project(string0, string1).by().by(__.fold())", + "g.V().Project(\"k\", \"v\").By().By(__.Fold())", + "g.V().Project(\"k\", \"v\").By().By(gremlingo.T__.Fold())", + "g.V().project(\"k\", \"v\").by().by(__.fold())", + "g.V().project(\"k\", \"v\").by().by(__.fold())", + "g.V().project(\"k\", \"v\").by().by(__.fold())", + "g.V().project('k', 'v').by().by(__.fold())"}, + {"g.V().project(\"k\", \"v\").by().by(__.fold())", + null, + "g.V().project(string0, string1).by().by(__.fold())", + "g.V().Project(\"k\", \"v\").By().By(__.Fold())", + "g.V().Project(\"k\", \"v\").By().By(gremlingo.T__.Fold())", + null, + null, + null, + "g.V().project('k', 'v').by().by(__.fold())"}, + {"g.V().project(\"k\", \"v\").by().by(__.values().fold())", + null, + "g.V().project(string0, string1).by().by(__.values().fold())", + "g.V().Project(\"k\", \"v\").By().By(__.Values().Fold())", + "g.V().Project(\"k\", \"v\").By().By(gremlingo.T__.Values().Fold())", + null, + null, + null, + "g.V().project('k', 'v').by().by(__.values().fold())"}, + {"g.V().valueMap()", + null, + null, + "g.V().ValueMap()", + "g.V().ValueMap()", + null, + null, + null, + "g.V().value_map()"}, + {"g.V().valueMap().with(WithOptions.tokens)", + null, + null, + "g.V().ValueMap().With(WithOptions.Tokens)", + "g.V().ValueMap().With(gremlingo.WithOptions.Tokens)", // changed behavior, was string value + null, + null, + "g.V().valueMap().with_(WithOptions.tokens)", + "g.V().value_map().with_(WithOptions.tokens)"}, + {"g.V().limit(1L)", + "g.V().limit(1l)", + "g.V().limit(long0)", + "g.V().Limit(1l)", + "g.V().Limit(1)", + "g.V().limit(1l)", + "g.V().limit(1l)", + "g.V().limit(1)", + "g.V().limit(long(1))"}, + {"g.V().limit(x)", + null, + null, + "g.V().Limit(x)", + "g.V().Limit(x)", + null, + null, + null, + null}, + {"g.mergeV([name:\"alice\", T.label:\"person\"]).option(Merge.onCreate, [age:Cardinality.single(81)])", + null, + "g.mergeV(map0).option(Merge.onCreate, map1)", + "g.MergeV((IDictionary) new Dictionary {{ \"name\", \"alice\" }, { T.Label, \"person\" }}).Option(Merge.OnCreate, (IDictionary) new Dictionary {{ \"age\", CardinalityValue.Single(81) }})", + "g.MergeV(map[interface{}]interface{}{\"name\": \"alice\", gremlingo.T.Label: \"person\" }).Option(gremlingo.Merge.OnCreate, map[interface{}]interface{}{\"age\": gremlingo.CardinalityValue.Single(81) })", + null, + "g.mergeV(new LinkedHashMap() {{ put(\"name\", \"alice\"); put(T.label, \"person\"); }}).option(Merge.onCreate, new LinkedHashMap() {{ put(\"age\", Cardinality.single(81)); }})", + "g.mergeV(new Map([[\"name\", \"alice\"], [T.label, \"person\"]])).option(Merge.onCreate, new Map([[\"age\", CardinalityValue.single(81)]]))", + "g.merge_v({ 'name': 'alice', T.label: 'person' }).option(Merge.on_create, { 'age': CardinalityValue.single(81) })"}, + {"g.mergeV([name:\"alice\", (T.label):\"person\"]).option(Merge.onCreate, [age:Cardinality.single(81)])", + null, + "g.mergeV(map0).option(Merge.onCreate, map1)", + "g.MergeV((IDictionary) new Dictionary {{ \"name\", \"alice\" }, { T.Label, \"person\" }}).Option(Merge.OnCreate, (IDictionary) new Dictionary {{ \"age\", CardinalityValue.Single(81) }})", + "g.MergeV(map[interface{}]interface{}{\"name\": \"alice\", gremlingo.T.Label: \"person\" }).Option(gremlingo.Merge.OnCreate, map[interface{}]interface{}{\"age\": gremlingo.CardinalityValue.Single(81) })", + null, + "g.mergeV(new LinkedHashMap() {{ put(\"name\", \"alice\"); put(T.label, \"person\"); }}).option(Merge.onCreate, new LinkedHashMap() {{ put(\"age\", Cardinality.single(81)); }})", + "g.mergeV(new Map([[\"name\", \"alice\"], [T.label, \"person\"]])).option(Merge.onCreate, new Map([[\"age\", CardinalityValue.single(81)]]))", + "g.merge_v({ 'name': 'alice', T.label: 'person' }).option(Merge.on_create, { 'age': CardinalityValue.single(81) })"}, + {"g.V().toList()", + null, + null, + "g.V().ToList()", + "g.V().ToList()", + null, + null, + null, + "g.V().to_list()"}, + {"g.V().iterate()", + null, + null, + "g.V().Iterate()", + "g.V().Iterate()", + null, + null, + null, + null}, + {"g.tx().commit()", + null, + null, + "g.Tx().Commit()", + "g.Tx().Commit()", + null, + null, + null, + null}, + }); + } + + public TranslationTest(final String query, final String expectedForLang, + final String expectedForAnonymized, + final String expectedForDotNet, + final String expectedForGo, + final String expectedForGroovy, + final String expectedForJava, + final String expectedForJavascript, + final String expectedForPython) { + this.query = query; + this.expectedForLang = expectedForLang != null ? expectedForLang : query; + this.expectedForAnonymized = expectedForAnonymized != null ? expectedForAnonymized : query; + this.expectedForDotNet = expectedForDotNet != null ? expectedForDotNet : query; + this.expectedForGo = expectedForGo != null ? expectedForGo : query; + this.expectedForGroovy = expectedForGroovy != null ? expectedForGroovy : query; + this.expectedForJava = expectedForJava != null ? expectedForJava : query; + this.expectedForJavascript = expectedForJavascript != null ? expectedForJavascript : query; + this.expectedForPython = expectedForPython != null ? expectedForPython : query; + } + + @Test + public void shouldTranslateForLang() { + final String translatedQuery = GremlinTranslator.translate(query, Translator.LANGUAGE).getTranslated(); + assertEquals(expectedForLang, translatedQuery); + } + + @Test + public void shouldTranslateForAnonymized() { + final String translatedQuery = GremlinTranslator.translate(query, Translator.ANONYMIZED).getTranslated(); + assertEquals(expectedForAnonymized, translatedQuery); + } + + @Test + public void shouldTranslateForDotNet() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.DOTNET).getTranslated(); + assertEquals(expectedForDotNet, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForDotNet)); + } + } + + @Test + public void shouldTranslateForGo() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.GO).getTranslated(); + assertEquals(expectedForGo, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForGo)); + } + } + + @Test + public void shouldTranslateForGroovy() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.GROOVY).getTranslated(); + assertEquals(expectedForGroovy, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForGroovy)); + } + } + + @Test + public void shouldTranslateForJava() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.JAVA).getTranslated(); + assertEquals(expectedForJava, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForJava)); + } + } + + @Test + public void shouldTranslateForJavascript() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.JAVASCRIPT).getTranslated(); + assertEquals(expectedForJavascript, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForJavascript)); + } + } + + @Test + public void shouldTranslateForPython() { + try { + final String translatedQuery = GremlinTranslator.translate(query, "g", Translator.PYTHON).getTranslated(); + assertEquals(expectedForPython, translatedQuery); + } catch (TranslatorException e) { + assertThat(e.getMessage(), startsWith(expectedForPython)); + } + } + } +} \ No newline at end of file diff --git a/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/util/NumberHelperTest.java b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/util/NumberHelperTest.java index 5b32e1981ba..0c368892391 100644 --- a/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/util/NumberHelperTest.java +++ b/gremlin-core/src/test/java/org/apache/tinkerpop/gremlin/util/NumberHelperTest.java @@ -19,6 +19,7 @@ package org.apache.tinkerpop.gremlin.util; import org.javatuples.Quartet; +import org.javatuples.Triplet; import org.junit.Test; import java.math.BigDecimal; @@ -38,6 +39,7 @@ import static org.junit.Assert.assertEquals; import static org.junit.Assert.assertNull; import static org.junit.Assert.assertTrue; +import static org.junit.Assert.fail; /** * @author Daniel Kuppitz (http://gremlin.guru) @@ -96,6 +98,21 @@ public class NumberHelperTest { new Quartet<>(BigDecimal.ONE, BigDecimal.ONE, BigDecimal.class, BigDecimal.class) ); + private final static List> OVERFLOW_CASES = Arrays.asList( + new Triplet<>(Integer.MAX_VALUE, 1, "add"), + new Triplet<>(Integer.MIN_VALUE, 1, "sub"), + new Triplet<>(Integer.MAX_VALUE, Integer.MAX_VALUE, "mul"), + new Triplet<>(Long.MAX_VALUE, 1L, "add"), + new Triplet<>(Long.MIN_VALUE, 1L, "sub"), + new Triplet<>(Long.MAX_VALUE, Integer.MAX_VALUE, "mul"), + new Triplet<>(Byte.MAX_VALUE, (byte)100, "add"), + new Triplet<>(Byte.MIN_VALUE, (byte)100, "sub"), + new Triplet<>((byte)100, (byte)100, "mul"), + new Triplet<>(Short.MAX_VALUE, (short)100, "add"), + new Triplet<>(Short.MIN_VALUE, (short)100, "sub"), + new Triplet<>(Short.MAX_VALUE, (short)100, "mul") + ); + @Test public void shouldReturnHighestCommonNumberClass() { for (final Quartet, Class> q : COMMON_NUMBER_CLASSES) { @@ -442,4 +459,120 @@ public void testMinMaxCompare() { assertEquals(1, compare(one, null).intValue()); } } + + @Test + public void shouldThrowArithmeticExceptionOnOverflow() { + for (final Triplet q : OVERFLOW_CASES) { + try { + switch (q.getValue2()) { + case "add": + add(q.getValue0(), q.getValue1()); + case "sub": + sub(q.getValue0(), q.getValue1()); + case "mul": + mul(q.getValue0(), q.getValue1()); + } + fail("ArithmeticException expected"); + } + catch (ArithmeticException ex) { + // expected + } + } + } + + @Test + public void shouldCoerceToReturnSameInstanceForSameClass() { + final Integer value = 42; + assertEquals(value, NumberHelper.coerceTo(value, Integer.class)); + } + + @Test + public void shouldCoerceToConvertToByte() { + final Integer value = 42; + assertEquals(Byte.valueOf((byte) 42), NumberHelper.coerceTo(value, Byte.class)); + } + + @Test + public void shouldCoerceToConvertToShort() { + final Integer value = 42; + assertEquals(Short.valueOf((short) 42), NumberHelper.coerceTo(value, Short.class)); + } + + @Test + public void shouldCoerceToConvertToLong() { + final Integer value = 42; + assertEquals(Long.valueOf(42L), NumberHelper.coerceTo(value, Long.class)); + } + + @Test + public void shouldCoerceToConvertToFloat() { + final Integer value = 42; + assertEquals(Float.valueOf(42.0f), NumberHelper.coerceTo(value, Float.class)); + } + + @Test + public void shouldCoerceToConvertToDouble() { + final Integer value = 42; + assertEquals(Double.valueOf(42.0), NumberHelper.coerceTo(value, Double.class)); + } + + @Test + public void shouldCoerceToConvertToBigInteger() { + final Integer value = 42; + assertEquals(BigInteger.valueOf(42), NumberHelper.coerceTo(value, BigInteger.class)); + } + + @Test + public void shouldCoerceToConvertToBigDecimal() { + final Integer value = 42; + assertEquals(BigDecimal.valueOf(42), NumberHelper.coerceTo(value, BigDecimal.class)); + } + + @Test + public void shouldCoerceToRetainOriginalTypeIfCannotFitInByte() { + final Integer value = 128; + assertEquals(value, NumberHelper.coerceTo(value, Byte.class)); + } + + @Test + public void shouldCoerceToRetainOriginalTypeIfCannotFitInShort() { + final Integer value = 32768; + assertEquals(value, NumberHelper.coerceTo(value, Short.class)); + } + + @Test + public void shouldCoerceToRetainOriginalTypeIfCannotFitInInteger() { + final Long value = 2147483648L; + assertEquals(value, NumberHelper.coerceTo(value, Integer.class)); + } + + @Test + public void shouldCoerceToRetainOriginalTypeIfCannotFitInFloat() { + final Double value = Double.MAX_VALUE; + assertEquals(value, NumberHelper.coerceTo(value, Float.class)); + } + + @Test + public void shouldCoerceToConvertToByteIfCanFit() { + final Integer value = 42; + assertEquals(Byte.valueOf((byte) 42), NumberHelper.coerceTo(value, Byte.class)); + } + + @Test + public void shouldCoerceToConvertToShortIfCanFit() { + final Integer value = 42; + assertEquals(Short.valueOf((short) 42), NumberHelper.coerceTo(value, Short.class)); + } + + @Test + public void shouldCoerceToConvertToIntegerIfCanFit() { + final Long value = 42L; + assertEquals(Integer.valueOf(42), NumberHelper.coerceTo(value, Integer.class)); + } + + @Test + public void shouldCoerceToConvertToFloatIfCanFit() { + final Double value = 42.0; + assertEquals(Float.valueOf(42.0f), NumberHelper.coerceTo(value, Float.class)); + } } diff --git a/gremlin-dotnet/build/generate.groovy b/gremlin-dotnet/build/generate.groovy index a1c0947c835..d7d615ece96 100644 --- a/gremlin-dotnet/build/generate.groovy +++ b/gremlin-dotnet/build/generate.groovy @@ -93,6 +93,7 @@ radishGremlinFile.withWriter('UTF-8') { Writer writer -> writer.writeLine("#nullable disable\n") writer.writeLine('using System;\n' + + 'using System.Numerics;\n' + 'using System.Collections.Generic;\n' + 'using Gremlin.Net.Structure;\n' + 'using Gremlin.Net.Process.Traversal;\n' + diff --git a/gremlin-go/driver/cucumber/gremlin.go b/gremlin-go/driver/cucumber/gremlin.go index d2867d7f88f..c7130a1cd11 100644 --- a/gremlin-go/driver/cucumber/gremlin.go +++ b/gremlin-go/driver/cucumber/gremlin.go @@ -1206,6 +1206,16 @@ var translationMap = map[string][]func(g *gremlingo.GraphTraversalSource, p map[ "g_injectXlistXnull_10_5_nullXX_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(p["xx1"]).Sum(gremlingo.Scope.Local)}}, "g_VX1X_valuesXageX_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.V(p["vid1"]).Values("age").Sum(gremlingo.Scope.Local)}}, "g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.V().Local(gremlingo.T__.Union(gremlingo.T__.Values("age"), gremlingo.T__.OutE().Values("weight")).Fold()).Sum(gremlingo.Scope.Local)}}, + "g_V_age_injectX1000nX_sum": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.V().Values("age").Inject(1000).Sum()}}, + "g_injectX1b_2b_3bX_sum": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Sum()}}, + "g_injectX1b_2b_3sX_sum": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Sum()}}, + "g_injectX1b_26b_3iX_sum": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Sum()}}, + "g_injectX1f_26f_3fX_sum": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Sum()}}, + "g_V_age_injectX1000nX_fold_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.V().Values("age").Inject(1000).Fold().Sum(gremlingo.Scope.Local)}}, + "g_injectX1b_2b_3bX_fold_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Fold().Sum(gremlingo.Scope.Local)}}, + "g_injectX1b_2b_3sX_fold_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Fold().Sum(gremlingo.Scope.Local)}}, + "g_injectX1b_26b_3iX_fold_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Fold().Sum(gremlingo.Scope.Local)}}, + "g_injectX1f_26f_3fX_fold_sumXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(1, 2, 3).Fold().Sum(gremlingo.Scope.Local)}}, "g_injectXfeature_test_nullX_toLower": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject("FEATURE", "tESt", nil).ToLower()}}, "g_injectXfeature_test_nullX_toLowerXlocalX": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(p["xx1"]).ToLower(gremlingo.Scope.Local)}}, "g_injectXListXa_bXX_toLower": {func(g *gremlingo.GraphTraversalSource, p map[string]interface{}) *gremlingo.GraphTraversal {return g.Inject(p["xx1"]).ToLower()}}, diff --git a/gremlin-server/src/test/java/org/apache/tinkerpop/gremlin/server/GremlinServerIntegrateTest.java b/gremlin-server/src/test/java/org/apache/tinkerpop/gremlin/server/GremlinServerIntegrateTest.java index d644a9534d3..05569f406da 100644 --- a/gremlin-server/src/test/java/org/apache/tinkerpop/gremlin/server/GremlinServerIntegrateTest.java +++ b/gremlin-server/src/test/java/org/apache/tinkerpop/gremlin/server/GremlinServerIntegrateTest.java @@ -1162,7 +1162,7 @@ public void shouldSupportLambdasUsingWithRemote() throws Exception { final GraphTraversalSource g = traversal().withRemote(conf); g.addV("person").property("age", 20).iterate(); g.addV("person").property("age", 10).iterate(); - assertEquals(50L, g.V().hasLabel("person").map(Lambda.function("it.get().value('age') + 10")).sum().next()); + assertEquals(50, g.V().hasLabel("person").map(Lambda.function("it.get().value('age') + 10")).sum().next()); g.close(); } @@ -1171,7 +1171,7 @@ public void shouldDoNonBlockingPromiseWithRemote() throws Exception { final GraphTraversalSource g = traversal().withRemote(conf); g.addV("person").property("age", 20).promise(Traversal::iterate).join(); g.addV("person").property("age", 10).promise(Traversal::iterate).join(); - assertEquals(50L, g.V().hasLabel("person").map(Lambda.function("it.get().value('age') + 10")).sum().promise(t -> t.next()).join()); + assertEquals(50, g.V().hasLabel("person").map(Lambda.function("it.get().value('age') + 10")).sum().promise(t -> t.next()).join()); g.addV("person").property("age", 20).promise(Traversal::iterate).join(); final Traversal traversal = g.V().hasLabel("person").has("age", 20).values("age"); diff --git a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java index 573725b00ca..857819fe055 100644 --- a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java +++ b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/features/StepDefinition.java @@ -379,13 +379,6 @@ public void theGraphShouldReturnForCountOf(final Integer count, final String gre assertEquals(count.longValue(), ((GraphTraversal) parseGremlin(applyParameters(gremlin))).count().next()); } - @Then("debug the graph should return {int} for count of {string}") - public void debugTheGraphShouldReturnForCountOf(final Integer count, final String gremlin) { - assertThatNoErrorWasThrown(); - - assertEquals(count.longValue(), ((GraphTraversal) parseGremlin(applyParameters(gremlin))).count().next()); - } - @Then("the result should be empty") public void theResultShouldBeEmpty() { assertThatNoErrorWasThrown(); @@ -592,7 +585,7 @@ private String tryUpdateDataFilePath(final String docString) { * TinkerPop version of Hamcrest's {code containsInAnyOrder} that can use our custom assertions for {@link Path} and {@link Double}. */ @SafeVarargs - public static org.hamcrest.Matcher> containsInAnyOrder(T... items) { + public static org.hamcrest.Matcher> containsInAnyOrder(final T... items) { return new IsIterableContainingInAnyOrder(getMatchers(items)); } @@ -600,25 +593,25 @@ public static org.hamcrest.Matcher> containsInAnyOrder * TinkerPop version of Hamcrest's {code contains} that can use our custom assertions for {@link Path} and {@link Double}. */ @SafeVarargs - public static org.hamcrest.Matcher> contains(T... items) { + public static org.hamcrest.Matcher> contains(final T... items) { return new IsIterableContainingInOrder(getMatchers(items)); } /** * TinkerPop version of Hamcrest's {code in} that can use our custom assertions for {@link Path}. */ - public static org.hamcrest.Matcher in(Collection collection) { + public static org.hamcrest.Matcher in(final Collection collection) { return new IsInMatcher(collection); } /** * TinkerPop version of Hamcrest's {code in} that can use our custom assertions for {@link Path}. */ - public static org.hamcrest.Matcher in(T[] elements) { + public static org.hamcrest.Matcher in(final T[] elements) { return new IsInMatcher(elements); } - private static List> getMatchers(T[] items) { + private static List> getMatchers(final T[] items) { final List> matchers = new ArrayList<>(); for (int ix = 0; ix < items.length; ix++) { diff --git a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/computer/GraphComputerTest.java b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/computer/GraphComputerTest.java index d489a434d1a..2648c667173 100644 --- a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/computer/GraphComputerTest.java +++ b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/computer/GraphComputerTest.java @@ -1391,7 +1391,7 @@ public void shouldProcessResultGraphNewWithPersistVertexProperties() throws Exce assertEquals(Long.valueOf(0l), result.graph().traversal().E().count().next()); assertEquals(Long.valueOf(18l), result.graph().traversal().V().values().count().next()); assertEquals(Long.valueOf(0l), result.graph().traversal().E().values().count().next()); - assertEquals(28l, result.graph().traversal().V().values("money").sum().next()); + assertEquals(28, result.graph().traversal().V().values("money").sum().next()); /// assertEquals(Long.valueOf(6l), graph.traversal().V().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().count().next()); @@ -1411,7 +1411,7 @@ public void shouldProcessResultGraphNewWithPersistEdges() throws Exception { assertEquals(Long.valueOf(6l), result.graph().traversal().E().count().next()); assertEquals(Long.valueOf(18l), result.graph().traversal().V().values().count().next()); assertEquals(Long.valueOf(6l), result.graph().traversal().E().values().count().next()); - assertEquals(28l, result.graph().traversal().V().values("money").sum().next()); + assertEquals(28, result.graph().traversal().V().values("money").sum().next()); /// assertEquals(Long.valueOf(6l), graph.traversal().V().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().count().next()); @@ -1451,13 +1451,13 @@ public void shouldProcessResultGraphOriginalWithPersistVertexProperties() throws assertEquals(Long.valueOf(6l), result.graph().traversal().E().count().next()); assertEquals(Long.valueOf(18l), result.graph().traversal().V().values().count().next()); assertEquals(Long.valueOf(6l), result.graph().traversal().E().values().count().next()); - assertEquals(28l, result.graph().traversal().V().values("money").sum().next()); + assertEquals(28, result.graph().traversal().V().values("money").sum().next()); /// assertEquals(Long.valueOf(6l), graph.traversal().V().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().count().next()); assertEquals(Long.valueOf(18l), graph.traversal().V().values().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().values().count().next()); - assertEquals(28l, graph.traversal().V().values("money").sum().next()); + assertEquals(28, graph.traversal().V().values("money").sum().next()); } } @@ -1471,13 +1471,13 @@ public void shouldProcessResultGraphOriginalWithPersistEdges() throws Exception assertEquals(Long.valueOf(6l), result.graph().traversal().E().count().next()); assertEquals(Long.valueOf(18l), result.graph().traversal().V().values().count().next()); assertEquals(Long.valueOf(6l), result.graph().traversal().E().values().count().next()); - assertEquals(28l, result.graph().traversal().V().values("money").sum().next()); + assertEquals(28, result.graph().traversal().V().values("money").sum().next()); /// assertEquals(Long.valueOf(6l), graph.traversal().V().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().count().next()); assertEquals(Long.valueOf(18l), graph.traversal().V().values().count().next()); assertEquals(Long.valueOf(6l), graph.traversal().E().values().count().next()); - assertEquals(28l, graph.traversal().V().values("money").sum().next()); + assertEquals(28, graph.traversal().V().values("money").sum().next()); } } diff --git a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/sideEffect/GroupTest.java b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/sideEffect/GroupTest.java index 897f2d2a678..277267a07ce 100644 --- a/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/sideEffect/GroupTest.java +++ b/gremlin-test/src/main/java/org/apache/tinkerpop/gremlin/process/traversal/step/sideEffect/GroupTest.java @@ -518,8 +518,8 @@ public void g_V_hasLabelXpersonX_asXpX_outXcreatedX_group_byXnameX_byXselectXpX_ assertEquals(2, map.size()); assertTrue(map.containsKey("ripple")); assertTrue(map.containsKey("lop")); - assertEquals(32L, map.get("ripple")); - assertEquals(96L, map.get("lop")); + assertEquals(32, map.get("ripple")); + assertEquals(96, map.get("lop")); assertFalse(traversal.hasNext()); } diff --git a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/map/Sum.feature b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/map/Sum.feature index c5a475f2921..0776345c3e6 100644 --- a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/map/Sum.feature +++ b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/map/Sum.feature @@ -27,7 +27,7 @@ Feature: Step - sum() When iterated to list Then the result should be unordered | result | - | d[123].l | + | d[123].i | Scenario: g_V_foo_sum Given the modern graph @@ -104,7 +104,7 @@ Feature: Step - sum() When iterated to list Then the result should be unordered | result | - | d[123].l | + | d[123].i | # null values are ignored in sum() which is similar to sum aggregation works in SQL @WithProductiveByStrategy @@ -117,7 +117,7 @@ Feature: Step - sum() When iterated to list Then the result should be unordered | result | - | d[123].l | + | d[123].i | Scenario: g_V_aggregateXaX_byXfooX_sumXlocalX Given the modern graph @@ -176,7 +176,7 @@ Feature: Step - sum() When iterated to list Then the result should be unordered | result | - | d[15].l | + | d[15].i | @GraphComputerVerificationInjectionNotSupported Scenario: g_injectXlistXnull_10_5_nullXX_sumXlocalX @@ -216,4 +216,124 @@ Feature: Step - sum() | d[30.9].d | | d[27].i | | d[33.4].d | - | d[35.2].d | \ No newline at end of file + | d[35.2].d | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_V_age_injectX1000nX_sum + Given the modern graph + And the traversal of + """ + g.V().values("age").inject(1000n).sum() + """ + When iterated to list + Then the result should be unordered + | result | + | d[1123].n | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_2b_3bX_sum + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3b).sum() + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].b | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_2b_3sX_sum + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3s).sum() + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].s | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_26b_3iX_sum + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3i).sum() + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].i | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1f_26f_3fX_sum + Given the empty graph + And the traversal of + """ + g.inject(1f,2f,3f).sum() + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].f | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_V_age_injectX1000nX_fold_sumXlocalX + Given the modern graph + And the traversal of + """ + g.V().values("age").inject(1000n).fold().sum(local) + """ + When iterated to list + Then the result should be unordered + | result | + | d[1123].n | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_2b_3bX_fold_sumXlocalX + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3b).fold().sum(local) + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].b | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_2b_3sX_fold_sumXlocalX + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3s).fold().sum(local) + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].s | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1b_26b_3iX_fold_sumXlocalX + Given the empty graph + And the traversal of + """ + g.inject(1b,2b,3i).fold().sum(local) + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].i | + + @GraphComputerVerificationInjectionNotSupported + Scenario: g_injectX1f_26f_3fX_fold_sumXlocalX + Given the empty graph + And the traversal of + """ + g.inject(1f,2f,3f).fold().sum(local) + """ + When iterated to list + Then the result should be unordered + | result | + | d[6].f | \ No newline at end of file diff --git a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/Group.feature b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/Group.feature index a149db6344b..a10f6d3fa68 100644 --- a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/Group.feature +++ b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/Group.feature @@ -171,7 +171,7 @@ Feature: Step - group() When iterated to list Then the result should be unordered | result | - | m[{"cover":{"followedBy":"d[777982].l"}, "":{"followedBy":"d[179350].l"}, "original":{"followedBy":"d[2185613].l"}}] | + | m[{"cover":{"followedBy":"d[777982].i"}, "":{"followedBy":"d[179350].i"}, "original":{"followedBy":"d[2185613].i"}}] | Scenario: g_V_group_byXlabelX_byXbothE_groupXaX_byXlabelX_byXweight_sumX_weight_sumX Given the modern graph @@ -212,7 +212,7 @@ Feature: Step - group() When iterated to list Then the result should be unordered | result | - | m[{"ripple":"d[32].l", "lop":"d[96].l"}] | + | m[{"ripple":"d[32].i", "lop":"d[96].i"}] | Scenario: g_V_group_byXlabelX_byXlabel_countX diff --git a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/SideEffectCap.feature b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/SideEffectCap.feature index 3418f07925c..ad702c06ccb 100644 --- a/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/SideEffectCap.feature +++ b/gremlin-test/src/main/resources/org/apache/tinkerpop/gremlin/test/features/sideEffect/SideEffectCap.feature @@ -128,7 +128,7 @@ Feature: Step - cap() When iterated to list Then the result should be unordered | result | - | m[{"ripple":"d[32].l", "lop":"d[96].l"}] | + | m[{"ripple":"d[32].i", "lop":"d[96].i"}] | @GraphComputerVerificationStarGraphExceeded Scenario: g_V_groupXmX_byXnameX_byXinXknowsX_nameX_capXmX diff --git a/spark-gremlin/src/main/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/interceptor/SparkStarBarrierInterceptor.java b/spark-gremlin/src/main/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/interceptor/SparkStarBarrierInterceptor.java index 850e95a18d6..adf992e8a31 100644 --- a/spark-gremlin/src/main/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/interceptor/SparkStarBarrierInterceptor.java +++ b/spark-gremlin/src/main/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/interceptor/SparkStarBarrierInterceptor.java @@ -101,8 +101,11 @@ public JavaPairRDD apply(final TraversalVertexProgram ve result = nextRDD.map(Traverser::bulk).fold(0L, (a, b) -> a + b); else if (endStep instanceof SumGlobalStep) { result = nextRDD.isEmpty() ? null : nextRDD - .map(traverser -> NumberHelper.mul(traverser.bulk(), (Number) traverser.get())) - .fold(0, NumberHelper::add); + .map(traverser -> { + final Number n = (Number) traverser.get(); + final Class clazz = null == n ? Long.class : n.getClass(); + return NumberHelper.mul(n, NumberHelper.coerceTo(traverser.bulk(), clazz)); + }).fold(0, NumberHelper::add); } else if (endStep instanceof MeanGlobalStep) { result = nextRDD.isEmpty() ? null : nextRDD .map(traverser -> new MeanGlobalStep.MeanNumber((Number) traverser.get(), traverser.bulk())) diff --git a/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/SparkInterceptorStrategyTest.java b/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/SparkInterceptorStrategyTest.java index c43cadd3247..6cdaf81dfb0 100644 --- a/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/SparkInterceptorStrategyTest.java +++ b/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/process/computer/traversal/strategy/optimization/SparkInterceptorStrategyTest.java @@ -127,8 +127,8 @@ public void shouldSuccessfullyEvaluateInterceptedTraversals() throws Exception { test(SparkStarBarrierInterceptor.class, 6l, g.V().as("a").count()); test(SparkStarBarrierInterceptor.class, 1l, g.V().has("name", "marko").as("a").values("name").as("b").count()); test(SparkStarBarrierInterceptor.class, 4l, g.V().has(T.label, P.not(P.within("robot", "android")).and(P.within("person", "software"))).hasLabel("person").has("age").out("created").count()); - test(SparkStarBarrierInterceptor.class, 123l, g.V().has("age").values("age").sum()); - test(SparkStarBarrierInterceptor.class, 67l, g.V().has("age").has("age", P.gt(30)).values("age").sum()); + test(SparkStarBarrierInterceptor.class, 123, g.V().has("age").values("age").sum()); + test(SparkStarBarrierInterceptor.class, 67, g.V().has("age").has("age", P.gt(30)).values("age").sum()); test(SparkStarBarrierInterceptor.class, 27, g.V().hasLabel("person").values("age").min()); test(SparkStarBarrierInterceptor.class, 35, g.V().hasLabel("person").values("age").max()); test(SparkStarBarrierInterceptor.class, new HashMap() {{ diff --git a/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/structure/io/InputRDDTest.java b/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/structure/io/InputRDDTest.java index 11c4f485710..b87b2ddd408 100644 --- a/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/structure/io/InputRDDTest.java +++ b/spark-gremlin/src/test/java/org/apache/tinkerpop/gremlin/spark/structure/io/InputRDDTest.java @@ -52,7 +52,7 @@ public void shouldReadFromArbitraryRDD() { configuration.setProperty(Constants.GREMLIN_HADOOP_JARS_IN_DISTRIBUTED_CACHE, false); //////// Graph graph = GraphFactory.open(configuration); - assertEquals(123l, graph.traversal().withComputer(SparkGraphComputer.class).V().values("age").sum().next()); + assertEquals(123, graph.traversal().withComputer(SparkGraphComputer.class).V().values("age").sum().next()); assertEquals(Long.valueOf(4l), graph.traversal().withComputer(SparkGraphComputer.class).V().count().next()); }