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# regarding copyright ownership.  The ASF licenses this file
# to you under the Apache License, Version 2.0 (the
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# with the License.  You may obtain a copy of the License at
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#######################################################################################
## Do NOT edit this file directly - generated by build/generate.groovy
#######################################################################################


from radish import world
import datetime
import uuid
from gremlin_python.statics import long, bigint, bigdecimal, GremlinType
from gremlin_python.process.anonymous_traversal import traversal
from gremlin_python.process.strategies import *
from gremlin_python.process.traversal import TraversalStrategy
from gremlin_python.process.graph_traversal import __
from gremlin_python.structure.graph import Graph
from gremlin_python.process.traversal import Barrier, Cardinality, CardinalityValue, P, TextP, Pop, Scope, Column, Order, Direction, DT, GType, Merge, T, Pick, Operator, IO, WithOptions

world.gremlins = {
    '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, __.values('age')).option(xx2, __.values('lang')).option(xx2, __.values('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, __.values('age')).option(xx2, __.values('lang')).option(xx2, __.values('name')).option(Pick.any_, __.label()))], 
    'g_V_branchXageX_optionXltX30X__youngX_optionXgtX30X__oldX_optionXnone__on_the_edgeX': [(lambda g:g.V().has_label('person').branch(__.values('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').values('name').order().fold()).option(__.has('name', 'vadas'), __.values('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, __.values('name')).option(xx2, __.values('age')))], 
    'g_V_chooseXout_countX_optionX2L_nameX_optionX3L_ageX_optionXnone_discardX': [(lambda g, xx1=None,xx2=None:g.V().choose(__.out().count()).option(xx1, __.values('name')).option(xx2, __.values('age')).option(Pick.none, __.discard()))], 
    'g_V_chooseXhasLabelXpersonX_and_outXcreatedX__outXknowsX_identityX_name': [(lambda g:g.V().choose(__.has_label('person').and_().out('created'), __.out('knows'), __.identity()).values('name'))], 
    'g_V_chooseXhasLabelXpersonX_and_outXcreatedX_outXknowsX_name': [(lambda g:g.V().choose(__.has_label('person').and_().out('created'), __.out('knows')).values('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()).values('name'))], 
    'g_V_chooseXTlabelX_optionXperson__outXknowsX_nameX_optionXbleep_constantXbleepXX': [(lambda g:g.V().choose(T.label).option('person', __.out('knows').values('name')).option('bleep', __.constant('bleep')))], 
    'g_V_chooseXTlabelX_optionXblah__outXknowsXX_optionXbleep__outXcreatedXX_optionXnone__identityX_name': [(lambda g:g.V().choose(T.label).option('blah', __.out('knows')).option('bleep', __.out('created')).option(Pick.none, __.identity()).values('name'))], 
    'g_V_chooseXTlabelX_optionXblah__outXknowsXX_optionXbleep__outXcreatedXX_optionXnone_discardX_name': [(lambda g:g.V().choose(T.label).option('blah', __.out('knows')).option('bleep', __.out('created')).option(Pick.none, __.discard()).values('name'))], 
    'g_V_chooseXoutXknowsX_count_isXgtX0XX__outXknowsXX_name': [(lambda g:g.V().choose(__.out('knows').count().is_(P.gt(0)), __.out('knows')).values('name'))], 
    '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(__.values('age')).option(xx1, __.constant('young')).option(Pick.none, __.constant('old')).group_count())], 
    'g_injectX1X_chooseXisX1X__constantX10Xfold__foldX': [(lambda g, xx1=None:g.inject(1).choose(__.is_(xx1), __.constant(10).fold(), __.fold()))], 
    'g_injectX2X_chooseXisX1X__constantX10Xfold__foldX': [(lambda g, xx1=None:g.inject(2).choose(__.is_(xx1), __.constant(10).fold(), __.fold()))], 
    'g_V_chooseXhasLabelXpersonX_chooseXageX_optionXbetweenX26_30X_constantXxXX_optionXbetweenX20_30X_constantXyXX_optionXnone_constantXzXX': [(lambda g:g.V().has_label('person').choose(__.values('age')).option(P.between(26, 30), __.constant('x')).option(P.between(20, 30), __.constant('y')).option(Pick.none, __.constant('z')))], 
    'g_V_chooseXhasLabelXpersonX_chooseXageX_optionXbetweenX26_30X_orXgtX34XX_constantXxXX_optionXgtX34X_constantXyXX_optionXnone_constantXzXX': [(lambda g:g.V().has_label('person').choose(__.values('age')).option(P.between(26, 30).or_(P.gt(34)), __.constant('x')).option(P.gt(34), __.constant('y')).option(Pick.none, __.constant('z')))], 
    'g_V_hasLabelXpersonX_chooseXageX_optionXbetweenX26_30X_nameX_optionXnone_nameX': [(lambda g:g.V().has_label('person').choose(__.values('age')).option(P.between(26, 30), __.values('name')).option(Pick.none, __.values('name')))], 
    'g_V_chooseXhasLabelXpersonX_localXchooseXageX_optionXbetweenX26_30X_name_foldX_optionXnone_name_foldXX': [(lambda g:g.V().has_label('person').local(__.choose(__.values('age')).option(P.between(26, 30), __.values('name').fold()).option(Pick.none, __.values('name').fold())))], 
    'g_V_chooseXhasLabelXpersonX_mapXchooseXageX_optionXbetweenX26_30X_name_foldX_optionXnone_name_foldXX': [(lambda g:g.V().has_label('person').map(__.choose(__.values('age')).option(P.between(26, 30), __.values('name').fold()).option(Pick.none, __.values('name').fold())))], 
    'g_unionXV_VXhasLabelXpersonX_barrier_localXchooseXageX_optionXbetweenX26_30X_name_foldX_optionXnone_name_foldXX': [(lambda g:g.union(__.V(), __.V()).has_label('person').barrier().local(__.choose(__.values('age')).option(P.between(26, 30), __.values('name').fold()).option(Pick.none, __.values('name').fold())))], 
    'g_unionXV_VXhasLabelXpersonX_barrier_mapXchooseXageX_optionXbetweenX26_30X_name_foldX_optionXnone_name_foldXX': [(lambda g:g.union(__.V(), __.V()).has_label('person').barrier().map(__.choose(__.values('age')).option(P.between(26, 30), __.values('name').fold()).option(Pick.none, __.values('name').fold())))], 
    'g_V_chooseXageX_optionXbetweenX26_30X_nameX_optionXnone_nameX': [(lambda g:g.V().choose(__.values('age')).option(P.between(26, 30), __.values('name')).option(Pick.none, __.values('name')))], 
    'g_V_chooseXageX_optionXbetweenX26_30X_nameX_optionXnone_nameX_optionXunproductive_labelX': [(lambda g:g.V().choose(__.values('age')).option(P.between(26, 30), __.values('name')).option(Pick.none, __.values('name')).option(Pick.unproductive, __.label()))], 
    'g_V_chooseXageX_optionXbetweenX26_30X_nameX_optionXnone_nameX_optionXnone_identityX_optionXnone_failX_optionXunproductive_identityX_optionXunproductive_labelX_optionXnone_failX': [(lambda g:g.V().choose(__.values('age')).option(P.between(26, 30), __.values('name')).option(Pick.none, __.values('name')).option(Pick.none, __.identity()).option(Pick.none, __.fail()).option(Pick.unproductive, __.label()).option(Pick.unproductive, __.identity()).option(Pick.unproductive, __.fail()))], 
    'g_V_chooseXage_nameX': [(lambda g:g.V().choose(__.values('age'), __.values('name')))], 
    'g_V_chooseXageX_optionXbetweenX26_30X_nameX_optionXnone_discardX': [(lambda g:g.V().choose(__.values('age')).option(P.between(26, 30), __.values('name')).option(Pick.none, __.discard()))], 
    'g_V_chooseXnameX_optionXneqXyX_ageX_optionXnone_constantXxXX': [(lambda g:g.V().choose(__.values('name')).option(P.neq('y'), __.values('age')).option(Pick.none, __.constant('x')))], 
    'g_V_hasLabelXpersonX_chooseXoutXcreatedX_count_isXeqX0XX__constantXdidnt_createX__constantXcreatedXX': [(lambda g:g.V().has_label('person').choose(__.out('created').count().is_(P.eq(0)), __.constant('didnt_create'), __.constant('created')))], 
    'g_V_hasLabelXpersonX_chooseXvaluesXageX_isXgtX30XX__valuesXageX__constantX30XX': [(lambda g:g.V().has_label('person').choose(__.values('age').is_(P.gt(30)), __.values('age'), __.constant(30)))], 
    'g_V_hasLabelXpersonX_chooseXvaluesXageX_isXgtX29XX_and_valuesXageX_isXltX35XX__valuesXnameX__constantXotherXX': [(lambda g:g.V().has_label('person').choose(__.values('age').is_(P.gt(29)).and_().values('age').is_(P.lt(35)), __.values('name'), __.constant('other')))], 
    'g_V_chooseXhasXname_vadasX__valuesXnameX__valuesXageXX': [(lambda g:g.V().choose(__.has('name', 'vadas'), __.values('name'), __.values('age')))], 
    'g_V_hasLabelXpersonX_chooseXoutXcreatedX_countX_optionX0__constantXnoneXX_optionX1__constantXoneXX_optionX2__constantXmanyXX': [(lambda g, xx1=None,xx0=None,xx2=None:g.V().has_label('person').choose(__.out('created').count()).option(xx0, __.constant('none')).option(xx1, __.constant('one')).option(xx2, __.constant('many')))], 
    'g_V_hasLabelXpersonX_chooseXlocalXoutXknowsX_countX__optionX0__constantXnoFriendsXX__optionXnone__constantXhasFriendsXXX': [(lambda g, xx0=None:g.V().has_label('person').choose(__.local(__.out('knows').count())).option(xx0, __.constant('noFriends')).option(Pick.none, __.constant('hasFriends')))], 
    'g_V_chooseXoutE_countX_optionX0__constantXnoneXX_optionXnone__constantXsomeXX': [(lambda g, xx0=None:g.V().choose(__.out_e().count()).option(xx0, __.constant('none')).option(Pick.none, __.constant('some')))], 
    'g_V_chooseXlabelX_optionXperson__chooseXageX_optionXP_lt_30__constantXyoungXX_optionXP_gte_30__constantXoldXXX_optionXsoftware__constantXprogramXX_optionXnone__constantXunknownXX': [(lambda g:g.V().choose(__.label()).option('person', __.choose(__.values('age')).option(P.lt(30), __.constant('young')).option(P.gte(30), __.constant('old'))).option('software', __.constant('program')).option(Pick.none, __.constant('unknown')))], 
    'g_V_chooseXhasXname_vadasX__valuesXnameXX': [(lambda g:g.V().choose(__.has('name', 'vadas'), __.values('name')))], 
    'g_V_hasLabelXpersonX_age_chooseXP_eqX29X_constantXmatchedX_constantXotherXX': [(lambda g:g.V().has_label('person').values('age').choose(P.eq(29), __.constant('matched'), __.constant('other')))], 
    'g_V_hasLabelXpersonX_age_chooseXP_eqX29X_constantXmatchedX': [(lambda g:g.V().has_label('person').values('age').choose(P.eq(29), __.constant('matched')))], 
    'g_V_hasLabelXpersonX_chooseX_valuesXnameX_option1X_isXmarkoX_valuesXageXX_option2Xnone_valuesXnameXX': [(lambda g:g.V().has_label('person').choose(__.values('name')).option(__.is_('marko'), __.values('age')).option(Pick.none, __.values('name')))], 
    'g_V_hasLabelXpersonX_chooseX_valuesXnameX_option1X_PeqXmarkoX_valuesXageXX_option2Xnone_valuesXnameXX': [(lambda g:g.V().has_label('person').choose(__.values('name')).option(P.eq('marko'), __.values('age')).option(Pick.none, __.values('name')))], 
    'g_V_localXpropertiesXlocationX_order_byXvalueX_limitX2XX_value': [(lambda g:g.V().local(__.properties('location').order().by(T.value, Order.asc).range_(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(__.out_e().count()))], 
    'g_VX1X_localXoutEXknowsX_limitX1XX_inV_name': [(lambda g, vid1=None:g.V(vid1).local(__.out_e('knows').limit(1)).in_v().values('name'))], 
    'g_V_localXbothEXcreatedX_limitX1XX_otherV_name': [(lambda g:g.V().local(__.both_e('created').limit(1)).other_v().values('name'))], 
    'g_VX4X_localXbothEX1_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.both_e('created').limit(1)))], 
    'g_VX4X_localXbothEXknows_createdX_limitX1XX': [(lambda g, vid4=None:g.V(vid4).local(__.both_e('knows', 'created').limit(1)))], 
    'g_VX4X_localXbothE_limitX1XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.both_e().limit(1)).other_v().values('name'))], 
    'g_VX4X_localXbothE_limitX2XX_otherV_name': [(lambda g, vid4=None:g.V(vid4).local(__.both_e().limit(2)).other_v().values('name'))], 
    'g_V_localXinEXknowsX_limitX2XX_outV_name': [(lambda g:g.V().local(__.in_e('knows').limit(2)).out_v().values('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').values('name').as_('name'))).select('name', 'project').by().by('name'))], 
    'g_V_in_barrier_localXcountX': [(lambda g:g.V().in_().barrier().local(__.count()))], 
    'g_V_localXout_in_simplePathX_path': [(lambda g:g.V().local(__.out().in_().simple_path()).path())], 
    'g_withSackX0LX_V_in_barrier_localXsackXsumX_byXageXX_sack': [(lambda g:g.with_sack(long(0)).V().in_().barrier().local(__.sack(Operator.sum_).by('age')).sack())], 
    'g_V_localXout_localXcountXX': [(lambda g:g.V().local(__.out().local(__.count())))], 
    'g_V_unionXoutE_count_localXinE_countXX': [(lambda g:g.V().union(__.out_e().count(), __.local(__.in_e().count())))], 
    '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().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.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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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).values('name'))], 
    '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()).values('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()).values('name'))], 
    '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(__.out_e().count().is_(0)).values('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).limit(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'))], 
    'g_V_repeatXrepeatXout_createdXX_untilXhasXname_rippleXXXemit_lang': [(lambda g:g.V().repeat(__.repeat(__.out('created')).until(__.has('name', 'ripple'))).emit().values('lang'))], 
    'g_V_untilXconstantXtrueXX_repeatXrepeatXout_createdXX_untilXhasXname_rippleXXXemit_lang': [(lambda g:g.V().until(__.constant(True)).repeat(__.repeat(__.out('created')).until(__.has('name', 'ripple'))).emit().values('lang'))], 
    'g_V_emit_repeatXa_outXknows_filterXloops_isX0XX_lang': [(lambda g:g.V().emit().repeat('a', __.out('knows').filter_(__.loops('a').is_(0))).values('lang'))], 
    '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().values('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).values('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().values('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').simple_path()).emit(__.repeat('b', __.both('knows')).until(__.loops('b').as_('b').where(__.loops('a').as_('b'))).has('name', 'vadas')).dedup().values('name'))], 
    'g_V_emit': [(lambda g:g.V().emit())], 
    'g_V_untilXidentityX': [(lambda g:g.V().until(__.identity()))], 
    'g_V_timesX5X': [(lambda g:g.V().times(5))], 
    'g_V_hasXperson_name_markoX_repeatXoutXcreatedXX_timesX1X_name': [(lambda g:g.V().has('person', 'name', 'marko').repeat(__.out('created')).times(1).values('name'))], 
    'g_V_hasXperson_name_markoX_repeatXoutXcreatedXX_timesX0X_name': [(lambda g:g.V().has('person', 'name', 'marko').repeat(__.out('created')).times(0).values('name'))], 
    'g_V_hasXperson_name_markoX_timesX1X_repeatXoutXcreatedXX_name': [(lambda g:g.V().has('person', 'name', 'marko').times(1).repeat(__.out('created')).values('name'))], 
    'g_V_hasXperson_name_markoX_timesX0X_repeatXoutXcreatedXX_name': [(lambda g:g.V().has('person', 'name', 'marko').times(0).repeat(__.out('created')).values('name'))], 
    'g_V_repeatXboth_hasXnot_productiveXX_timesX3X_constantX1X': [(lambda g:g.V().repeat(__.both().has('not', 'productive')).times(3).constant(1))], 
    'g_V_hasXnot_productiveX_repeatXbothX_timesX3X_constantX1X': [(lambda g:g.V().has('not', 'productive').repeat(__.both()).times(3).constant(1))], 
    'g_VX1_2_3X_repeatXboth_barrierX_emit_timesX2X_path': [(lambda g, vid3=None,vid2=None,vid1=None:g.V(vid1, vid2, vid3).repeat(__.both().barrier()).emit().times(2).path())], 
    'g_V_order_byXname_descX_repeatXboth_simplePath_order_byXname_descXX_timesX2X_path': [(lambda g:g.V().order().by('name', Order.desc).repeat(__.both().simple_path().order().by('name', Order.desc)).times(2).path())], 
    'g_V_repeatXboth_repeatXorder_byXnameXX_timesX1XX_timesX1X': [(lambda g:g.V().repeat(__.both().repeat(__.order().by('name')).times(1)).times(1))], 
    'g_V_order_byXname_descX_repeatXlocalXout_order_byXnameXXX_timesX1X': [(lambda g:g.V().order().by('name', Order.desc).repeat(__.local(__.out().order().by('name'))).times(1))], 
    'g_V_order_byXnameX_repeatXlocalXboth_simplePath_order_byXnameXXX_timesX2X_path': [(lambda g:g.V().order().by('name').repeat(__.local(__.both().simple_path().order().by('name'))).times(2).path())], 
    'g_V_repeatXunionXoutXknowsX_order_byXnameX_inXcreatedX_order_byXnameXXX_timesX1X': [(lambda g:g.V().repeat(__.union(__.out('knows').order().by('name'), __.in_('created').order().by('name'))).times(1))], 
    'g_V_repeatXaddV_propertyXgenerated_trueXX_timesX2X': [(lambda g:g.add_v().property('notGenerated', 'true').add_v().property('notGenerated', 'true')), (lambda g:g.V().repeat(__.add_v().property('generated', 'true')).times(2)), (lambda g:g.V().has('notGenerated')), (lambda g:g.V().has('generated'))], 
    'g_V_repeatXdedup_bothX_timesX2X': [(lambda g:g.V().repeat(__.dedup().both()).times(2))], 
    'g_V_repeatXaggregateXxXX_timesX2X_selectXxX_limitX1X_unfold': [(lambda g:g.V().repeat(__.aggregate('x')).times(2).select('x').limit(1).unfold())], 
    'g_V_valuesXstrX_repeatXsplitXabcX_conjoinX_timesX2X': [(lambda g:g.add_v().property('str', 'ababcczababcc').add_v().property('str', 'abcyabc')), (lambda g:g.V().values('str').repeat(__.split('abc').conjoin('')).times(2))], 
    'g_withSackX0X_V_repeatXsackXsumX_byXageX_whereXsack_isXltX59XXXX_timesX2X': [(lambda g:g.with_sack(long(0)).V().repeat(__.sack(Operator.sum_).by('age').where(__.sack().is_(P.lt(59)))).times(2))], 
    'g_V_repeatXinjectXyXX_timesX2X': [(lambda g:g.V().repeat(__.inject('y')).times(2))], 
    'g_V_repeatXunionXconstantXyX_limitX1X_identityXX_timesX3X': [(lambda g:g.V().repeat(__.union(__.constant('y').limit(1), __.identity())).times(2))], 
    'g_VX3X_repeatXout_order_byXperformancesX_tailX2XX_timesX1X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out().order().by('performances').tail(2)).times(1).values('name'))], 
    'g_VX3X_repeatXout_order_byXperformancesX_tailX2XX_timesX2X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out().order().by('performances').tail(2)).times(2).values('name'))], 
    'g_VX2X_repeatXout_localXorder_byXperformancesX_tailX1XXX_timesX1X_valuesXnameX': [(lambda g, vid2=None:g.V(vid2).repeat(__.out().local(__.order().by('performances').tail(1))).times(1).values('name'))], 
    'g_VX250X_repeatXout_localXorder_byXperformancesX_tailX1XXX_timesX2X_valuesXnameX': [(lambda g, vid250=None:g.V(vid250).repeat(__.out().local(__.order().by('performances').tail(1))).times(2).values('name'))], 
    'g_VX3X_repeatXout_order_byXperformancesX_tailX3X_limitX1XX_timesX2X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out().order().by('performances').tail(3).limit(1)).times(2).values('name'))], 
    'g_VX3X_repeatXout_order_byXperformances_descX_limitX5X_tailX1XX_timesX2X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out().order().by('performances', Order.desc).limit(5).tail(1)).times(2).values('name'))], 
    'g_VX3X_repeatXoutE_order_byXweightX_tailX2X_inVX_timesX2X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out_e().order().by('weight').tail(2).in_v()).times(2).values('name'))], 
    'g_VX3X_repeatXoutE_order_byXweight_descX_limitX2X_inVX_timesX2X_valuesXnameX': [(lambda g, vid3=None:g.V(vid3).repeat(__.out_e().order().by('weight', Order.desc).limit(2).in_v()).times(2).values('name'))], 
    'g_unionXX': [(lambda g:g.union())], 
    'g_unionXV_name': [(lambda g:g.union(__.V().values('name')))], 
    'g_unionXVXv1X_VX4XX_name': [(lambda g, vid4=None,vid1=None:g.union(__.V(vid1), __.V(vid4)).values('name'))], 
    'g_unionXV_hasLabelXsoftwareX_V_hasLabelXpersonXX_name': [(lambda g:g.union(__.V().has_label('software'), __.V().has_label('person')).values('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, vid2=None:g.V(vid2).union(__.constant(1), __.constant(2), __.constant(3)))], 
    'g_V_unionXout__inX_name': [(lambda g:g.V().union(__.out(), __.in_()).values('name'))], 
    'g_VX1X_unionXrepeatXoutX_timesX2X__outX_name': [(lambda g, vid1=None:g.V(vid1).union(__.repeat(__.out()).times(2), __.out()).values('name'))], 
    'g_V_chooseXlabel_is_person__unionX__out_lang__out_nameX__in_labelX': [(lambda g:g.V().choose(__.label().is_('person'), __.union(__.out().values('lang'), __.out().values('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().values('lang'), __.out().values('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().values('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().values('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(__.add_v('person').property('name', 'alice'), __.add_v('person').property('name', 'bob'), __.add_v('person').property('name', 'chris')).values('name'))], 
    'g_VX_hasLabelXpersonX_unionX_whereX_out_count_isXgtX2XXX_valuesXageX_notX_whereX_bothE_count_isXgt2XXX_valusXnameXX': [(lambda g:g.V().has_label('person').union(__.where(__.out_e().count().is_(P.gt(2))).values('age'), __.not_(__.where(__.out_e().count().is_(P.gt(2)))).values('name')))], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX': [(lambda g:g.add_v('data').property('int', 123)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)))], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_mathXaddX0_5XX': [(lambda g:g.add_v('data').property('int', 10)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).math('_ + 0.5'))], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_isXgtX0XX': [(lambda g:g.add_v('data').property('int', 5)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).is_(P.gt(0)))], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_sumX': [(lambda g:g.add_v('data').property('int', 2).add_v('data').property('int', 3).add_v('data').property('int', 4)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).sum_())], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_minX': [(lambda g:g.add_v('data').property('int', 1).add_v('data').property('int', 5).add_v('data').property('int', 10)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).min_())], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_maxX': [(lambda g:g.add_v('data').property('int', 7).add_v('data').property('int', 14).add_v('data').property('int', 21)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).max_())], 
    'g_V_valuesXintX_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_project_byXidentityX_byXmathXmulX10XXX': [(lambda g:g.add_v('data').property('int', 6)), (lambda g:g.V().values('int').as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).project('original', 'multiplied').by(__.identity()).by(__.math('_ * 10')))], 
    'g_injectX99X_asNumberXGType_BIGDECIMALX_isXtypeOfXGType_BIGDECIMALXX_groupCount': [(lambda g:g.inject(99).as_number(GType.BIGDECIMAL).is_(P.type_of(GType.BIGDECIMAL)).group_count())], 
    'g_V_valuesXageX_isXtypeOfXGType_BIGDECIMALXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.BIGDECIMAL)))], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX': [(lambda g:g.add_v('data').property('int', 456)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)))], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_mathXmulX1000XX': [(lambda g:g.add_v('data').property('int', 100)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).math('_ * 1000'))], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_isXeqX42XX': [(lambda g:g.add_v('data').property('int', 42)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).is_(P.eq(42)))], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_sumX': [(lambda g:g.add_v('data').property('int', 10).add_v('data').property('int', 20).add_v('data').property('int', 30)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).sum_())], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_minX': [(lambda g:g.add_v('data').property('int', 5).add_v('data').property('int', 15).add_v('data').property('int', 25)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).min_())], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_maxX': [(lambda g:g.add_v('data').property('int', 100).add_v('data').property('int', 200).add_v('data').property('int', 300)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).max_())], 
    'g_V_valuesXintX_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_project_byXidentityX_byXmathXaddX999XXX': [(lambda g:g.add_v('data').property('int', 50)), (lambda g:g.V().values('int').as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).project('original', 'added').by(__.identity()).by(__.math('_ + 999')))], 
    'g_injectX777X_asNumberXGType_BIGINTX_isXtypeOfXGType_BIGINTXX_groupCount': [(lambda g:g.inject(777).as_number(GType.BIGINT).is_(P.type_of(GType.BIGINT)).group_count())], 
    'g_V_valuesXageX_isXtypeOfXGType_BIGINTXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.BIGINT)))], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX': [(lambda g:g.add_v('data').property('int', 5)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)))], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_mathXaddX20XX': [(lambda g:g.add_v('data').property('int', 10)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).math('_ + 20'))], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_isXltX10XX': [(lambda g:g.add_v('data').property('int', 7)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).is_(P.lt(10)))], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_sumX': [(lambda g:g.add_v('data').property('int', 1).add_v('data').property('int', 2).add_v('data').property('int', 3)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).sum_())], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_project_byXidentityX_byXmathXmulX2XXX': [(lambda g:g.add_v('data').property('int', 8)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).project('original', 'doubled').by(__.identity()).by(__.math('_ * 2')))], 
    'g_V_valuesXintX_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_chooseXisXeqX12XX_constantXtwelveX_constantXotherXX': [(lambda g:g.add_v('data').property('int', 12)), (lambda g:g.V().values('int').as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).choose(__.is_(P.eq(12)), __.constant('twelve'), __.constant('other')))], 
    'g_injectX15X_asNumberXGType_BYTEX_isXtypeOfXGType_BYTEXX_groupCount': [(lambda g:g.inject(15).as_number(GType.BYTE).is_(P.type_of(GType.BYTE)).group_count())], 
    'g_V_valuesXageX_isXtypeOfXGType_BYTEXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.BYTE)))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX_project_byXidentityX_byXdateAddXDT_dayX1XX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)).project('original', 'nextDay').by(__.identity()).by(__.date_add(DT.day, 1)))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX_dateDiffXdatetimeX2023_08_10XX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)).date_diff(datetime.datetime.fromisoformat('2023-08-08T00:00:30+00:00')))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX_whereXisXgtXdatetimeX2020_01_01XXXX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)).where(__.is_(P.gt(datetime.datetime.fromisoformat('2020-01-01T00:00+00:00')))))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX_chooseXisXeqXdatetimeX2023_08_08XXXX_constantXmatchX_constantXnoMatchXX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)).choose(__.is_(P.eq(datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), __.constant('match'), __.constant('noMatch')))], 
    'g_V_valuesXdatetimeX_isXtypeOfXGType_DATETIMEXX_localXaggregateXaX_capXaX': [(lambda g:g.add_v('event').property('datetime', datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'))), (lambda g:g.V().values('datetime').is_(P.type_of(GType.DATETIME)).local(__.aggregate('a')).cap('a'))], 
    'g_injectXdatetimeX_isXtypeOfXGType_DATETIMEXX_aggregateXaX_capXaX': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-08T00:00+00:00')).is_(P.type_of(GType.DATETIME)).aggregate('a').cap('a'))], 
    'g_injectXdatetimeX_isXtypeOfXGType_DATETIMEXX_groupCount': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-08T00:00+00:00')).is_(P.type_of(GType.DATETIME)).group_count())], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX': [(lambda g:g.add_v('data').property('double', 1.5)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)))], 
    'g_E_valuesXweightX_isXtypeOfXGType_DOUBLEXX': [(lambda g:g.E().values('weight').is_(P.type_of(GType.DOUBLE)))], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_mathXceilX': [(lambda g:g.add_v('data').property('double', 2.7)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).math('ceil _'))], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_isXgtX1_0XX': [(lambda g:g.add_v('data').property('double', 0.8).add_v('data').property('double', 1.2)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).is_(P.gt(1.0)))], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_sumX': [(lambda g:g.add_v('data').property('double', 1.5).add_v('data').property('double', 2.5).add_v('data').property('double', 3.5)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).sum_())], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_minX': [(lambda g:g.add_v('data').property('double', 0.1).add_v('data').property('double', 0.5).add_v('data').property('double', 0.9)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).min_())], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_maxX': [(lambda g:g.add_v('data').property('double', 2.1).add_v('data').property('double', 3.7).add_v('data').property('double', 1.9)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).max_())], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_meanX': [(lambda g:g.add_v('data').property('double', 2.1).add_v('data').property('double', 4.1).add_v('data').property('double', 6.1)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).mean())], 
    'g_V_valuesXdoubleX_isXtypeOfXGType_DOUBLEXX_order_byXascX': [(lambda g:g.add_v('data').property('double', 3.2).add_v('data').property('double', 1.8).add_v('data').property('double', 2.5)), (lambda g:g.V().values('double').is_(P.type_of(GType.DOUBLE)).order().by(Order.asc))], 
    'g_injectX5_5dX_isXtypeOfXGType_DOUBLEXX_groupCount': [(lambda g:g.inject(5.5).is_(P.type_of(GType.DOUBLE)).group_count())], 
    'g_V_valuesXageX_isXtypeOfXGType_DOUBLEXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.DOUBLE)))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX': [(lambda g:g.add_v('data').property('float', 2.5)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_mathXmulX2XX': [(lambda g:g.add_v('data').property('float', 3.0)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).math('_ * 2'))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_isXeqX1_5XX': [(lambda g:g.add_v('data').property('float', 1.5)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).is_(P.eq(1.5)))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_sumX': [(lambda g:g.add_v('data').property('float', 1.5).add_v('data').property('float', 2.5).add_v('data').property('float', 3.0)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).sum_())], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_project_byXidentityX_byXmathXmulX10XXX': [(lambda g:g.add_v('data').property('float', 4.5)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).project('original', 'multiplied').by(__.identity()).by(__.math('_ * 10')))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_whereXisXgtX1_0XXX': [(lambda g:g.add_v('data').property('float', 0.5).add_v('data').property('float', 1.5)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).where(__.is_(P.gt(1.0))))], 
    'g_V_valuesXfloatX_isXtypeOfXGType_FLOATXX_chooseXisXeqX3_0XX_constantXthreeX_constantXotherXX': [(lambda g:g.add_v('data').property('float', 3.0)), (lambda g:g.V().values('float').as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).choose(__.is_(P.eq(3.0)), __.constant('three'), __.constant('other')))], 
    'g_injectX2_0fX_isXtypeOfXGType_FLOATXX_groupCount': [(lambda g:g.inject(2.0).as_number(GType.FLOAT).is_(P.type_of(GType.FLOAT)).group_count())], 
    'g_V_valuesXageX_isXtypeOfXGType_FLOATXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.FLOAT)))], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)))], 
    'g_V_hasXage_typeOfXGType_INTXX_valuesXnameX': [(lambda g:g.V().has('age', P.type_of(GType.INT)).values('name'))], 
    'g_V_whereXvaluesXageX_isXtypeOfXGType_INTXXX_valuesXnameX': [(lambda g:g.V().where(__.values('age').is_(P.type_of(GType.INT))).values('name'))], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_mathXincX': [(lambda g:g.V().values('name', 'age').is_(P.type_of(GType.INT)).math('_ + 1'))], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_sumX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).sum_())], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_minX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).min_())], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_maxX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).max_())], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_meanX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).mean())], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_order_byXdescX': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).order().by(Order.desc))], 
    'g_V_valuesXageX_isXtypeOfXGType_INTXX_groupCount': [(lambda g:g.V().values('age').is_(P.type_of(GType.INT)).group_count())], 
    'g_V_valuesXnameX_fold_isXtypeOfXGType_LISTXX_count': [(lambda g:g.V().values('name').fold().is_(P.type_of(GType.LIST)).count())], 
    'g_V_valuesXageX_isXtypeOfXGType_LISTXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.LIST)))], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX': [(lambda g:g.add_v('data').property('list', ['a', 'b', 'c'])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)))], 
    'g_V_hasXlist_typeOfXGType_LISTXX_valuesXnameX': [(lambda g:g.add_v('data').property('name', 'test').property('list', [1, 2, 3])), (lambda g:g.V().has('list', P.type_of(GType.LIST)).values('name'))], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX_unfold': [(lambda g:g.add_v('data').property('list', ['x', 'y', 'z'])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)).unfold())], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX_countXlocalX': [(lambda g:g.add_v('data').property('list', [1, 2, 3, 4, 5])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)).count(Scope.local))], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX_unfold_rangeX1_3X': [(lambda g:g.add_v('data').property('list', ['first', 'second', 'third', 'fourth'])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)).unfold().range_(1, 3))], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX_project_byXidentityX_byXcountXlocalX': [(lambda g:g.add_v('data').property('list', ['apple', 'banana'])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)).project('original', 'size').by(__.identity()).by(__.count(Scope.local)))], 
    'g_V_valuesXlistX_isXtypeOfXGType_LISTXX_whereXcountXlocalX_isXgtX2XXX': [(lambda g:g.add_v('data').property('list', [1]).add_v('data').property('list', [1, 2, 3])), (lambda g:g.V().values('list').is_(P.type_of(GType.LIST)).where(__.count(Scope.local).is_(P.gt(2))))], 
    'g_injectXlistX_isXtypeOfXGType_LISTXX_groupCount': [(lambda g:g.inject(['test']).is_(P.type_of(GType.LIST)).group_count())], 
    'g_V_valuesXlongX_isXtypeOfXGType_LONGXX': [(lambda g:g.add_v('data').property('long', long(1))), (lambda g:g.V().values('long').is_(P.type_of(GType.LONG)))], 
    'g_V_hasXlong_typeOfXGType_LONGXX_valuesXnameX': [(lambda g:g.add_v('data').property('name', 'test').property('long', long(1))), (lambda g:g.V().has('long', P.type_of(GType.LONG)).values('name'))], 
    'g_V_valuesXlongX_isXtypeOfXGType_LONGXX_mathXmulX2XX': [(lambda g:g.add_v('data').property('long', long(5))), (lambda g:g.V().values('long').is_(P.type_of(GType.LONG)).math('_ * 2'))], 
    'g_V_valuesXlongX_isXtypeOfXGType_LONGXX_isXgtX5XX': [(lambda g:g.add_v('data').property('long', long(10))), (lambda g:g.V().values('long').is_(P.type_of(GType.LONG)).is_(P.gt(long(5))))], 
    'g_V_valuesXlongX_isXtypeOfXGType_LONGXX_sumX': [(lambda g:g.add_v('data').property('long', long(1)).add_v('data').property('long', long(2)).add_v('data').property('long', long(3))), (lambda g:g.V().values('long').is_(P.type_of(GType.LONG)).sum_())], 
    'g_V_valuesXlongX_isXtypeOfXGType_LONGXX_localXaggregateXaXX_capXaX': [(lambda g:g.add_v('data').property('long', long(100))), (lambda g:g.V().values('long').is_(P.type_of(GType.LONG)).local(__.aggregate('a')).cap('a'))], 
    'g_V_hasLabelXpersonX_valueMap_isXtypeOfXGType_MAPXX_count': [(lambda g:g.V().has_label('person').value_map().is_(P.type_of(GType.MAP)).count())], 
    'g_V_groupCount_byXlabelX_isXtypeOfXGType_MAPX': [(lambda g:g.V().group_count().by(T.label).is_(P.type_of(GType.MAP)))], 
    'g_V_valuesXageX_isXtypeOfXGType_MAPXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.MAP)))], 
    'g_V_valuesXmapX_isXtypeOfXGType_MAPXX': [(lambda g:g.add_v('data').property('map', { 'key1': '1', 'key2': '2' })), (lambda g:g.V().values('map').is_(P.type_of(GType.MAP)))], 
    'g_V_hasXmap_typeOfXGType_MAPXX_valuesXnameX': [(lambda g:g.add_v('data').property('name', 'test').property('map', { 'a': 1, 'b': 2 })), (lambda g:g.V().has('map', P.type_of(GType.MAP)).values('name'))], 
    'g_V_valuesXmapX_isXtypeOfXGType_MAPXX_countXlocalX': [(lambda g:g.add_v('data').property('map', { 'a': 1, 'b': 2, 'c': 3 })), (lambda g:g.V().values('map').is_(P.type_of(GType.MAP)).count(Scope.local))], 
    'g_V_valuesXmapX_isXtypeOfXGType_MAPXX_selectXvaluesX': [(lambda g:g.add_v('data').property('map', { 'city': 'NYC', 'country': 'USA' })), (lambda g:g.V().values('map').is_(P.type_of(GType.MAP)).select(Column.values))], 
    'g_V_valuesXmapX_isXtypeOfXGType_MAPXX_whereX_countXlocalX_isXgtX1XXX': [(lambda g:g.add_v('data').property('map', { 'single': 'value' }).add_v('data').property('map', { 'key1': '1', 'key2': '2' })), (lambda g:g.V().values('map').is_(P.type_of(GType.MAP)).where(__.count(Scope.local).is_(P.gt(1))))], 
    'g_V_valuesXmapX_isXtypeOfXGType_MAPXX_foldX': [(lambda g:g.add_v('data').property('map', { 'a': 1 }).add_v('data').property('map', { 'b': 2, 'c': 3 })), (lambda g:g.V().values('map').is_(P.type_of(GType.MAP)).fold())], 
    'g_V_valueXnameX_aggregateXxX_capXxX_isXtypeOfXGType_SETX': [(lambda g:g.V().values('name').aggregate('x').cap('x').is_(P.type_of(GType.SET)))], 
    'g_V_valuesXageX_isXtypeOfXGType_SETXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.SET)))], 
    'g_V_valueMap_selectXkeysX_dedup_isXtypeOfXGType_SETXX': [(lambda g:g.V().value_map().select(Column.keys).dedup().is_(P.type_of(GType.SET)))], 
    'g_V_valuesXsetX_isXtypeOfXGType_SETXX': [(lambda g:g.add_v('data').property('set', {'a', 'b', 'c'})), (lambda g:g.V().values('set').is_(P.type_of(GType.SET)))], 
    'g_V_hasXset_typeOfXGType_SETXX_valuesXnameX': [(lambda g:g.add_v('data').property('name', 'test').property('set', {1, 2, 3})), (lambda g:g.V().has('set', P.type_of(GType.SET)).values('name'))], 
    'g_V_valuesXsetX_isXtypeOfXGType_SETXX_unfold': [(lambda g:g.add_v('data').property('set', {'x', 'y', 'z'})), (lambda g:g.V().values('set').is_(P.type_of(GType.SET)).unfold())], 
    'g_V_valuesXsetX_isXtypeOfXGType_SETXX_countXlocalX': [(lambda g:g.add_v('data').property('set', {1, 2, 3, 4, 5})), (lambda g:g.V().values('set').is_(P.type_of(GType.SET)).count(Scope.local))], 
    'g_V_valuesXsetX_isXtypeOfXGType_SETXX_whereXcountXlocalX_isXeqX3XXX': [(lambda g:g.add_v('data').property('set', {1, 2}).add_v('data').property('set', {1, 2, 3})), (lambda g:g.V().values('set').is_(P.type_of(GType.SET)).where(__.count(Scope.local).is_(P.eq(3))))], 
    'g_V_valuesXsetX_isXtypeOfXGType_SETXX_unfold_limitX2X': [(lambda g:g.add_v('data').property('set', {'first', 'second', 'third', 'fourth'})), (lambda g:g.V().values('set').is_(P.type_of(GType.SET)).unfold().limit(2))], 
    'g_injectXsetX_isXtypeOfXGType_SETXX_groupCount': [(lambda g:g.inject({'test'}).is_(P.type_of(GType.SET)).group_count())], 
    'g_V_valuesXintX_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX': [(lambda g:g.add_v('data').property('int', 100)), (lambda g:g.V().values('int').as_number(GType.SHORT).is_(P.type_of(GType.SHORT)))], 
    'g_V_valuesXintX_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX_mathXmulX10XX': [(lambda g:g.add_v('data').property('int', 50)), (lambda g:g.V().values('int').as_number(GType.SHORT).is_(P.type_of(GType.SHORT)).math('_ * 10'))], 
    'g_V_valuesXintX_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX_isXbetweenX20_30XX': [(lambda g:g.add_v('data').property('int', 25)), (lambda g:g.V().values('int').as_number(GType.SHORT).is_(P.type_of(GType.SHORT)).is_(P.between(20, 30)))], 
    'g_V_valuesXintX_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX_minX': [(lambda g:g.add_v('data').property('int', 10).add_v('data').property('int', 20).add_v('data').property('int', 30)), (lambda g:g.V().values('int').as_number(GType.SHORT).is_(P.type_of(GType.SHORT)).min_())], 
    'g_V_valuesXintX_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX_maxX': [(lambda g:g.add_v('data').property('int', 15).add_v('data').property('int', 25).add_v('data').property('int', 35)), (lambda g:g.V().values('int').as_number(GType.SHORT).is_(P.type_of(GType.SHORT)).max_())], 
    'g_injectX42X_asNumberXGType_SHORTX_isXtypeOfXGType_SHORTXX_storeXaX_capXaX': [(lambda g:g.inject(42).as_number(GType.SHORT).is_(P.type_of(GType.SHORT)))], 
    'g_V_valuesXageX_isXtypeOfXGType_SHORTXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.SHORT)))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)))], 
    'g_V_hasXuuid_typeOfXGType_UUIDXX_valuesXnameX': [(lambda g:g.add_v('data').property('name', 'test').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().has('uuid', P.type_of(GType.UUID)).values('name'))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX_project_byXidentityX_byXconstantXuuidXX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)).project('original', 'type').by(__.identity()).by(__.constant('uuid')))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX_whereXisXeqXuuidXX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)).where(__.is_(P.eq(uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479')))))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX_chooseXisXeqXuuidXX_constantXmatchX_constantXnoMatchXX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)).choose(__.is_(P.eq(uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), __.constant('match'), __.constant('noMatch')))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX_localXaggregateXaXX_capXaX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)).local(__.aggregate('a')).cap('a'))], 
    'g_V_valuesXuuidX_isXtypeOfXGType_UUIDXX_aggregateXaX_capXaX': [(lambda g:g.add_v('data').property('uuid', uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479'))), (lambda g:g.V().values('uuid').is_(P.type_of(GType.UUID)).aggregate('a').cap('a'))], 
    'g_injectXuuidX_isXtypeOfXGType_UUIDXX_groupCount': [(lambda g:g.inject(uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479')).is_(P.type_of(GType.UUID)).group_count())], 
    'g_injectXUUIDX47af10b_58cc_4372_a567_0f02b2f3d479XX': [(lambda g:g.inject(uuid.UUID('f47af10b-58cc-4372-a567-0f02b2f3d479')))], 
    'g_injectXUUIDXXX': [(lambda g:g.inject(uuid.uuid4()))], 
    'g_V_aggregateXxX_byXnameX_byXageX_capXxX': [(lambda g:g.V().aggregate('x').by('name').by('age').cap('x'))], 
    'g_V_localXaggregateXxX_byXnameXX_byXageX_capXxX': [(lambda g:g.V().local(__.aggregate('x').by('name').by('age')).cap('x'))], 
    'g_V_valuesXageX_allXgtX32XX': [(lambda g:g.V().values('age').all_(P.gt(32)))], 
    'g_V_valuesXageX_whereXisXP_gtX33XXX_fold_allXgtX33XX': [(lambda g:g.V().values('age').where(__.is_(P.gt(33))).fold().all_(P.gt(33)))], 
    'g_V_valuesXageX_order_byXdescX_fold_allXgtX10XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().all_(P.gt(10)))], 
    'g_V_valuesXageX_order_byXdescX_fold_allXgtX30XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().all_(P.gt(30)))], 
    'g_injectXabc_bcdX_allXeqXbcdXX': [(lambda g:g.inject(['abc', 'bcd']).all_(P.eq('bcd')))], 
    'g_injectXbcd_bcdX_allXeqXbcdXX': [(lambda g:g.inject(['bcd', 'bcd']).all_(P.eq('bcd')))], 
    'g_injectXnull_abcX_allXTextP_startingWithXaXX': [(lambda g:g.inject([None, 'abc']).all_(TextP.starting_with('a')))], 
    'g_injectX5_8_10_10_7X_allXgteX7XX': [(lambda g:g.inject([5, 8, 10], [10, 7]).all_(P.gte(7)))], 
    'g_injectXnullX_allXeqXnullXX': [(lambda g:g.inject(None).all_(P.eq(None)))], 
    'g_injectX7X_allXeqX7XX': [(lambda g:g.inject(7).all_(P.eq(7)))], 
    'g_injectXnull_nullX_allXeqXnullXX': [(lambda g:g.inject([None, None]).all_(P.eq(None)))], 
    'g_injectX3_threeX_allXeqX3XX': [(lambda g:g.inject([3, 'three']).all_(P.eq(3)))], 
    '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))).values('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))).values('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').values('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'))], 
    'g_V_valuesXageX_anyXgtX32XX': [(lambda g:g.V().values('age').any_(P.gt(32)))], 
    'g_V_valuesXageX_order_byXdescX_fold_anyXeqX29XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().any_(P.eq(29)))], 
    'g_V_valuesXageX_order_byXdescX_fold_anyXgtX10XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().any_(P.gt(10)))], 
    'g_V_valuesXageX_order_byXdescX_fold_anyXgtX42XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().any_(P.gt(42)))], 
    'g_injectXabc_cdeX_anyXeqXbcdXX': [(lambda g:g.inject(['abc', 'cde']).any_(P.eq('bcd')))], 
    'g_injectXabc_bcdX_anyXeqXbcdXX': [(lambda g:g.inject(['abc', 'bcd']).any_(P.eq('bcd')))], 
    'g_injectXnull_abcX_anyXTextP_startingWithXaXX': [(lambda g:g.inject([None, 'abc']).any_(TextP.starting_with('a')))], 
    'g_injectX5_8_10_10_7X_anyXeqX7XX': [(lambda g:g.inject([5, 8, 10], [10, 7]).any_(P.eq(7)))], 
    'g_injectXnullX_anyXeqXnullXX': [(lambda g:g.inject(None).any_(P.eq(None)))], 
    'g_injectX7X_anyXeqX7XX': [(lambda g:g.inject(7).any_(P.eq(7)))], 
    'g_injectXnull_nullX_anyXeqXnullXX': [(lambda g:g.inject([None, None]).any_(P.eq(None)))], 
    'g_injectX3_threeX_anyXeqX3XX': [(lambda g:g.inject([3, 'three']).any_(P.eq(3)))], 
    'g_V_coinX1X': [(lambda g:g.V().coin(1.0))], 
    'g_V_coinX0X': [(lambda g:g.V().coin(0.0))], 
    'g_withStrategiesXSeedStrategyX_V_order_byXnameX_coinX50X': [(lambda g:g.with_strategies(SeedStrategy(seed=999999)).V().order().by('name').coin(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_().values('name').fold().dedup(Scope.local).unfold())], 
    'g_V_out_in_valuesXnameX_fold_dedupXlocalX': [(lambda g:g.V().out().map(__.in_().values('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())], 
    'g_V_both_dedup_name': [(lambda g:g.V().both().dedup().values('name'))], 
    'g_V_both_hasXlabel_softwareX_dedup_byXlangX_name': [(lambda g:g.V().both().has(T.label, 'software').dedup().by('lang').values('name'))], 
    'g_V_both_both_name_dedup': [(lambda g:g.V().both().both().values('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(__.both_e().values('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.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').values('name').dedup())], 
    'g_V_both_both_dedup_byXoutE_countX_name': [(lambda g:g.V().both().both().dedup().by(__.out_e().count()).values('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().values('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').limit(1).values('name'))], 
    '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').values('name'))], 
    'g_withStrategiesXProductiveByStrategyX_V_order_byXname_descX_barrier_dedup_age_name': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().order().by('name', Order.desc).barrier().dedup().by('age').values('name'))], 
    'g_V_both_dedup_age_name': [(lambda g:g.V().both().dedup().by('age').values('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).values('age').dedup(Scope.local).unfold())], 
    '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_both_hasXlabel_softwareX_dedup_byXlangX_byXnameX_name': [(lambda g:g.V().both().has(T.label, 'software').dedup().by('lang').by('name').values('name'))], 
    'g_V_count_discard': [(lambda g:g.V().count().discard())], 
    'g_V_hasLabelXpersonX_discard': [(lambda g:g.V().has_label('person').discard())], 
    'g_VX1X_outXcreatedX_discard': [(lambda g, vid1=None:g.V(vid1).out('created').discard())], 
    'g_V_discard': [(lambda g:g.V().discard())], 
    'g_V_discard_discard': [(lambda g:g.V().discard().discard())], 
    'g_V_discard_fold': [(lambda g:g.V().discard().fold())], 
    'g_V_discard_fold_discard': [(lambda g:g.V().discard().fold().discard())], 
    'g_V_discard_fold_constantX1X': [(lambda g:g.V().discard().fold().constant(1))], 
    'g_V_projectXxX_byXcoalesceXage_isXgtX29XX_discardXX_selectXxX': [(lambda g:g.V().project('x').by(__.coalesce(__.values('age').is_(P.gt(29)), __.discard())).select('x'))], 
    '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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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_filterXisX0XX': [(lambda g:g.V().filter_(__.is_(0)))], 
    'g_V_filterXconstantX0XX': [(lambda g:g.V().filter_(__.constant(0)))], 
    'g_V_filterXhasXlang_javaXX': [(lambda g:g.V().filter_(__.has('lang', 'java')))], 
    'g_VX1X_filterXhasXage_gtX30XXX': [(lambda g, vid1=None:g.V(vid1).filter_(__.has('age', P.gt(30))))], 
    'g_VX2X_filterXhasXage_gtX30XXX': [(lambda g, vid2=None:g.V(vid2).filter_(__.has('age', P.gt(30))))], 
    'g_VX1X_out_filterXhasXage_gtX30XXX': [(lambda g, vid1=None:g.V(vid1).out().filter_(__.has('age', P.gt(30))))], 
    'g_V_filterXhasXname_startingWithXm_or_pXX': [(lambda g:g.V().filter_(__.has('name', TextP.starting_with('m').or_(TextP.starting_with('p')))))], 
    'g_E_filterXisX0XX': [(lambda g:g.E().filter_(__.is_(0)))], 
    'g_E_filterXconstantX0XX': [(lambda g:g.E().filter_(__.constant(0)))], 
    'g_VX1X_hasXnameX': [(lambda g, vid1=None:g.V(vid1).has('name'))], 
    'g_VX1X_hasXcircumferenceX': [(lambda g, vid1=None:g.V(vid1).has('circumference'))], 
    'g_VX1X_hasXname_markoX': [(lambda g, vid1=None:g.V(vid1).has('name', 'marko'))], 
    'g_VX1X_hasXname_markovarX': [(lambda g, xx1=None,vid1=None:g.V(vid1).has('name', xx1))], 
    'g_VX2X_hasXname_markoX': [(lambda g, vid1=None:g.V(vid1).has('name', 'marko'))], 
    'g_V_hasXname_markoX': [(lambda g:g.V().has('name', 'marko'))], 
    'g_V_hasXname_blahX': [(lambda g:g.V().has('name', 'blah'))], 
    'g_V_hasXage_gt_30X': [(lambda g:g.V().has('age', P.gt(30)))], 
    'g_VX1X_hasXage_gt_30X': [(lambda g, vid1=None:g.V(vid1).has('age', P.gt(30)))], 
    'g_V_hasXpersonvar_age_gt_30X': [(lambda g, xx1=None:g.V().has(xx1, 'age', P.gt(30)))], 
    'g_VX4X_hasXage_gt_30X': [(lambda g, vid4=None:g.V(vid4).has('age', P.gt(30)))], 
    'g_VXv1X_hasXage_gt_30X': [(lambda g, vid1=None:g.V(vid1).has('age', P.gt(30)))], 
    'g_VXv4X_hasXage_gt_30X': [(lambda g, vid4=None:g.V(vid4).has('age', P.gt(30)))], 
    'g_VX1X_out_hasXid_2X': [(lambda g, vid2=None:g.V(vid2).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').values('age'))], 
    'g_V_hasXperson_name_markovarX_age': [(lambda g, xx1=None:g.V().has('person', 'name', xx1).values('age'))], 
    'g_V_hasXpersonvar_name_markoX_age': [(lambda g, xx1=None:g.V().has(xx1, 'name', 'marko').values('age'))], 
    'g_VX1X_outE_hasXweight_inside_0_06X_inV': [(lambda g, vid1=None:g.V(vid1).out_e().has('weight', P.inside(0.0, 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())], 
    'g_V_hasXage_withinX27_29X_count': [(lambda g:g.V().has('age', P.within(27, 29)).count())], 
    'g_V_hasXage_withoutX27X_count': [(lambda g:g.V().has('age', P.without(27)).count())], 
    'g_V_hasXage_withoutX27_29X_count': [(lambda g:g.V().has('age', P.without(27, 29)).count())], 
    'g_V_hasXperson_age_withinX': [(lambda g:g.V().has('person', 'age', P.within()))], 
    'g_V_hasXperson_age_withoutX': [(lambda g:g.V().has('person', 'age', P.without()))], 
    'g_V_hasXname_containingXarkXX': [(lambda g:g.V().has('name', TextP.containing('ark')))], 
    'g_V_hasXname_startingWithXmarXX': [(lambda g:g.V().has('name', TextP.starting_with('mar')))], 
    'g_V_hasXname_endingWithXasXX': [(lambda g:g.V().has('name', TextP.ending_with('as')))], 
    'g_V_hasXperson_name_containingXoX_andXltXmXXX': [(lambda g:g.V().has('person', 'name', TextP.containing('o').and_(P.lt('m'))))], 
    'g_V_hasXname_gtXmX_andXcontainingXoXXX': [(lambda g:g.V().has('name', P.gt('m').and_(TextP.containing('o'))))], 
    'g_V_hasXname_not_containingXarkXX': [(lambda g:g.V().has('name', TextP.not_containing('ark')))], 
    'g_V_hasXname_not_startingWithXmarXX': [(lambda g:g.V().has('name', TextP.not_starting_with('mar')))], 
    'g_V_hasXname_not_endingWithXasXX': [(lambda g:g.V().has('name', TextP.not_ending_with('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.add_v('software').property('name', 'Apache TinkerPop©')), (lambda g:g.V().has('name', TextP.regex('Tinker')).values('name'))], 
    'g_V_hasXname_regexXTinkerUnicodeXX': [(lambda g:g.add_v('software').property('name', 'Apache TinkerPop©')), (lambda g:g.V().has('name', TextP.regex('Tinker.*\u00A9')).values('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.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', '✦', '♠')).values('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))], 
    'g_V_hasXlabel_personX': [(lambda g:g.V().has(T.label, 'person'))], 
    'g_V_hasXlabel_eqXpersonXX': [(lambda g:g.V().has(T.label, P.eq('person')))], 
    'g_V_hasXname_nullX': [(lambda g:g.V().has('name', None))], 
    'g_V_hasIdXemptyX_count': [(lambda g, xx1=None:g.V().has_id(xx1).count())], 
    'g_V_hasIdXwithinXemptyXX_count': [(lambda g:g.V().has_id(P.within([])).count())], 
    'g_V_hasIdXwithoutXemptyXX_count': [(lambda g:g.V().has_id(P.without([])).count())], 
    'g_V_notXhasIdXwithinXemptyXXX_count': [(lambda g:g.V().not_(__.has_id(P.within([]))).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_hasIdXmarkovar_vadasvarX': [(lambda g, vid2=None,vid1=None:g.V().has_id(vid1, vid2))], 
    '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(P.neq(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(0.3)).value()), (lambda g:g.V().both_e().properties().dedup().has_key('weight').has_value(P.lt(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_hasLabelXperson_softwarevarX': [(lambda g, xx1=None:g.V().has_label('person', xx1))], 
    'g_V_hasLabelXpersonX_hasLabelXsoftwareX': [(lambda g:g.V().has_label('person').has_label('software'))], 
    'g_V_hasLabelXpersonvarX_hasLabelXsoftwareX': [(lambda g, xx1=None:g.V().has_label(xx1).has_label('software'))], 
    'g_V_hasLabelXpersonvar_softwarevarX': [(lambda g, xx1=None,xx2=None:g.V().has_label(xx1, xx2))], 
    'g_V_hasLabelXpersonX_hasXage_notXlteX10X_andXnotXbetweenX11_20XXXX_andXltX29X_orXeqX35XXXX_name': [(lambda g: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_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().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().has_label(None))], 
    'g_V_hasNotXageX_name': [(lambda g:g.V().has_not('age').values('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().values('age').is_(32))], 
    'g_V_valuesXageX_isX32varX': [(lambda g, xx1=None:g.V().values('age').is_(xx1))], 
    'g_V_valuesXageX_isXlte_30X': [(lambda g:g.V().values('age').is_(P.lte(30)))], 
    'g_V_valuesXageX_isXlte_30varX': [(lambda g, xx1=None:g.V().values('age').is_(P.lte(xx1)))], 
    'g_V_valuesXageX_isXgte_29X_isXlt_34X': [(lambda g:g.V().values('age').is_(P.gte(29)).is_(P.lt(34)))], 
    'g_V_valuesXageX_isXgte_29vaarX_isXlt_34varX': [(lambda g, xx1=None,xx2=None:g.V().values('age').is_(P.gte(xx1)).is_(P.lt(xx2)))], 
    'g_V_whereXinXcreatedX_count_isX1XX_valuesXnameX': [(lambda g:g.V().where(__.in_('created').count().is_(1)).values('name'))], 
    'g_V_whereXinXcreatedX_count_isXgte_2XX_valuesXnameX': [(lambda g:g.V().where(__.in_('created').count().is_(P.gte(2))).values('name'))], 
    'g_V_valuesXageX_noneXgtX32XX': [(lambda g:g.V().values('age').none(P.gt(32)))], 
    'g_V_valuesXageX_whereXisXP_gtX33XXX_fold_noneXlteX33XX': [(lambda g:g.V().values('age').where(__.is_(P.gt(33))).fold().none(P.lte(33)))], 
    'g_V_valuesXageX_order_byXdescX_fold_noneXltX10XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().none(P.lt(10)))], 
    'g_V_valuesXageX_order_byXdescX_fold_noneXgtX30XX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().none(P.gt(30)))], 
    'g_injectXabc_bcdX_noneXeqXbcdXX': [(lambda g:g.inject(['abc', 'bcd']).none(P.eq('bcd')))], 
    'g_injectXbcd_bcdX_noneXeqXabcXX': [(lambda g:g.inject(['bcd', 'bcd']).none(P.eq('abc')))], 
    'g_injectXnull_bcdX_noneXP_eqXabcXX': [(lambda g:g.inject([None, 'bcd']).none(P.eq('abc')))], 
    'g_injectX5_8_10_10_7X_noneXltX7XX': [(lambda g:g.inject([5, 8, 10], [10, 7]).none(P.lt(7)))], 
    'g_injectXnullX_noneXeqXnullXX': [(lambda g:g.inject(None).none(P.eq(None)))], 
    'g_injectX7X_noneXeqX7XX': [(lambda g:g.inject(7).none(P.eq(7)))], 
    'g_injectXnull_1_emptyX_noneXeqXnullXX': [(lambda g:g.inject([None, 1], []).none(P.eq(None)))], 
    'g_injectXnull_nullX_noneXnotXnullXX': [(lambda g:g.inject([None, None]).none(P.neq(None)))], 
    'g_injectX3_threeX_noneXeqX3XX': [(lambda g:g.inject([3, 'three']).none(P.eq(3)))], 
    'g_V_notXhasXage_gt_27XX_name': [(lambda g:g.V().not_(__.has('age', P.gt(27))).values('name'))], 
    'g_V_notXnotXhasXage_gt_27XXX_name': [(lambda g:g.V().not_(__.not_(__.has('age', P.gt(27)))).values('name'))], 
    'g_V_notXhasXname_gt_27XX_name': [(lambda g:g.V().not_(__.has('name', P.gt(27))).values('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))).values('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))).values('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().limit(2))], 
    'g_VX1X_out_limitX2varX': [(lambda g, xx1=None,vid1=None:g.V(vid1).out().limit(xx1))], 
    'g_V_localXoutE_limitX1X_inVX_limitX3X': [(lambda g:g.V().local(__.out_e().limit(1)).in_v().limit(3))], 
    'g_VX1X_outXknowsX_outEXcreatedX_rangeX0_1X_inV': [(lambda g, vid1=None:g.V(vid1).out('knows').out_e('created').range_(0, 1).in_v())], 
    'g_VX1X_outXknowsX_outXcreatedX_rangeX0_1X': [(lambda g, vid1=None:g.V(vid1).out('knows').out('created').range_(0, 1))], 
    'g_VX1X_outXcreatedX_inXcreatedX_rangeX1_3X': [(lambda g, vid1=None:g.V(vid1).out('created').in_('created').range_(1, 3))], 
    'g_VX1X_outXcreatedX_inXcreatedX_rangeX1var_3varX': [(lambda g, xx1=None,xx2=None,vid1=None:g.V(vid1).out('created').in_('created').range_(xx1, xx2))], 
    'g_VX1X_outXcreatedX_inEXcreatedX_rangeX1_3X_outV': [(lambda g, vid1=None:g.V(vid1).out('created').in_e('created').range_(1, 3).out_v())], 
    'g_V_repeatXbothX_timesX3X_rangeX5_11X': [(lambda g:g.V().repeat(__.both()).times(3).range_(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_2varX': [(lambda g, xx1=None:g.V().as_('a').in_().as_('b').in_().as_('c').select('a', 'b', 'c').by('name').limit(Scope.local, xx1))], 
    '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_1var_3varX': [(lambda g, xx1=None,xx2=None:g.V().as_('a').out().as_('b').out().as_('c').select('a', 'b', 'c').by('name').range_(Scope.local, xx1, xx2))], 
    '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().has_label('person').order().by('age').skip(1).values('name'))], 
    'g_V_hasLabelXpersonX_order_byXageX_skipX1varX_valuesXnameX': [(lambda g, xx1=None:g.V().has_label('person').order().by('age').skip(xx1).values('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().out_e().values('weight').fold().order(Scope.local).skip(Scope.local, 2))], 
    'g_V_outE_valuesXweightX_fold_orderXlocalX_skipXlocal_2varX': [(lambda g, xx1=None:g.V().out_e().values('weight').fold().order(Scope.local).skip(Scope.local, xx1))], 
    'g_V_hasLabelXpersonX_order_byXageX_valuesXnameX_skipX1X': [(lambda g:g.V().has_label('person').order().by('age').values('name').skip(1))], 
    'g_VX1X_valuesXageX_rangeXlocal_20_30X': [(lambda g, vid1=None:g.V(vid1).values('age').range_(Scope.local, 20, 30))], 
    'g_V_mapXin_hasIdX1XX_limitX2X_valuesXnameX': [(lambda g, vid1=None:g.V().map(__.in_().has_id(vid1)).limit(2).values('name'))], 
    'g_V_rangeX2_1X': [(lambda g:g.V().range_(2, 1))], 
    'g_V_rangeX3_2X': [(lambda g:g.V().range_(3, 2))], 
    'g_injectXlistX1_2_3XX_rangeXlocal_1_2X': [(lambda g:g.inject([1, 2, 3]).range_(Scope.local, 1, 2))], 
    'g_injectXlistX1_2_3XX_limitXlocal_1X': [(lambda g:g.inject([1, 2, 3]).limit(Scope.local, 1))], 
    'g_injectXlistX1_2_3X_limitXlocal_1X_unfold': [(lambda g:g.inject([1, 2, 3]).limit(Scope.local, 1).unfold())], 
    'g_injectX1_2_3_4_5X_limitXlocal_1X': [(lambda g:g.inject([1, 2], [3, 4, 5]).limit(Scope.local, 1))], 
    'g_injectX1_2_3_4_5_6X_rangeXlocal_1_2X': [(lambda g:g.inject([1, 2, 3], [4, 5, 6]).range_(Scope.local, 1, 2))], 
    'g_VX5X_repeatXlimitX1X_inX_timesX2X_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.limit(1).in_()).times(2).values('name'))], 
    'g_VX5X_repeatXlimitX1X_inX_untilXloopsXisX2XXX_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.limit(1).in_()).until(__.loops().is_(2)).values('name'))], 
    'g_VX5X_limitX1X_in_limitX1X_in_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).limit(1).in_().limit(1).in_().values('name'))], 
    'g_VX5X_repeatXlimitX1X_inX_timesX1X_repeatXlimitX1X_inX_timesX1X_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.limit(1).in_()).times(1).repeat(__.limit(1).in_()).times(1).values('name'))], 
    'g_VX5X_repeatXlimitX1X_in_aggregateXxXX_timesX2X_capXxX': [(lambda g, vid5=None:g.V(vid5).repeat(__.limit(1).in_().aggregate('x')).times(2).cap('x'))], 
    'g_VX5X_repeatXrangeX0_1X_inX_timesX2X_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.range_(0, 1).in_()).times(2).values('name'))], 
    'g_VX5X_repeatXrangeX0_1X_inX_untilXloopsXisX2XXX_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.range_(0, 1).in_()).until(__.loops().is_(2)).values('name'))], 
    'g_VX5X_rangeX0_1X_in_rangeX0_1X_in_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).range_(0, 1).in_().range_(0, 1).in_().values('name'))], 
    'g_VX5X_repeatXrangeX0_1X_in_repeatXrangeX0_1X_inX_timesX1XX_timesX1X_valuesXnameX': [(lambda g, vid5=None:g.V(vid5).repeat(__.range_(0, 1).in_().repeat(__.range_(0, 1).in_()).times(1)).times(1).values('name'))], 
    'g_VX5X_repeatXrangeX0_1X_in_aggregateXxXX_timesX2X_capXxX': [(lambda g, vid5=None:g.V(vid5).repeat(__.range_(0, 1).in_().aggregate('x')).times(2).cap('x'))], 
    'g_withoutStrategiesXEarlyLimitStrategyX_VX5X_repeatXlimitX1X_in_limitX1X_limitX1XX_timesX2X': [(lambda g, vid5=None:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.EarlyLimitStrategy')]).V(vid5).repeat(__.limit(1).in_().limit(1).limit(1)).times(2))], 
    'g_V_repeatXout_whereXhasXnameX_order_byXnameX_limitX1XXX_timesX2X': [(lambda g:g.V().repeat(__.out().where(__.has('name').order().by('name').limit(1))).times(2))], 
    'g_V_out_whereXhasXnameX_order_byXnameX_limitX1XX_out_whereXhasXnameX_order_byXnameX_limitX1XX': [(lambda g:g.V().out().where(__.has('name').order().by('name').limit(1)).out().where(__.has('name').order().by('name').limit(1)))], 
    'g_V_hasXnameXJAMXX_repeatXoutXfollowedByX_order_byXnameX_limitX2XX_timesX2X': [(lambda g:g.V().has('name', 'JAM').repeat(__.out('followedBy').order().by('name').limit(2)).times(2))], 
    'g_V_hasXnameXJAMXX_outXfollowedByX_order_byXnameX_limitX2X_outXfollowedByX_order_byXnameX_limitX2X': [(lambda g:g.V().has('name', 'JAM').out('followedBy').order().by('name').limit(2).out('followedBy').order().by('name').limit(2))], 
    'g_V_hasXnameXDRUMSXX_repeatXinXfollowedByX_order_byXnameX_rangeX1_4XX_timesX2X': [(lambda g:g.V().has('name', 'DRUMS').repeat(__.in_('followedBy').order().by('name').range_(1, 4)).times(2))], 
    'g_V_hasXnameXDRUMSXX_inXfollowedByX_order_byXnameX_rangeX1_4X_inXfollowedByX_order_byXnameX_rangeX1_4X': [(lambda g:g.V().has('name', 'DRUMS').in_('followedBy').order().by('name').range_(1, 4).in_('followedBy').order().by('name').range_(1, 4))], 
    'g_V_chooseXvaluesXageX_isXlteX30XX_out_order_byXnameX_limitX1X_out_order_byXnameX_limitX2XX': [(lambda g:g.V().choose(__.values('age').is_(P.lte(30)), __.out().order().by('name').limit(1), __.out().order().by('name').limit(2)))], 
    'g_V_chooseXvaluesXageX_isXlteX30XX_localXout_order_byXnameX_limitX1XX_localXout_order_byXnameX_limitX2XXX': [(lambda g:g.V().choose(__.values('age').is_(P.lte(30)), __.local(__.out().order().by('name').limit(1)), __.local(__.out().order().by('name').limit(2))))], 
    'g_V_hasXnameXHEY_BO_DIDDLEYXX_unionXoutXfollowedByX_order_byXnameX_limitX2X_outXsungByX_order_byXnameX_byXnameX_limitX1XX_unionXoutXfollowedByX_order_limitX2X_outXsungByX_order_byXnameX_limitX1XX': [(lambda g:g.V().has('name', 'HEY BO DIDDLEY').union(__.out('followedBy').order().by('name').limit(2), __.out('sungBy').order().by('name').limit(1)).union(__.out('followedBy').order().by('name').limit(2), __.out('sungBy').order().by('name').limit(1)))], 
    'g_V_hasXnameXHEY_BO_DIDDLEYXX_repeatXunionXoutXfollowedByX_order_byXnameX_limitX2X_outXsungByX_order_byXnameX_limitX1XXX_timesX2X': [(lambda g:g.V().has('name', 'HEY BO DIDDLEY').repeat(__.union(__.out('followedBy').order().by('name').limit(2), __.out('sungBy').order().by('name').limit(1))).times(2))], 
    'g_V_sampleX1X_byXageX_byXT_idX': [(lambda g:g.V().sample(1).by('age').by(T.id_))], 
    '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(__.out_e().sample(1).by('weight')))], 
    'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_sampleX2X_foldXunfold': [(lambda g:g.with_strategies(SeedStrategy(seed=999999)).V().group().by(T.label).by(__.both_e().values('weight').order().sample(2).fold()).unfold())], 
    'g_withStrategiesXSeedStrategyX_V_group_byXlabelX_byXbothE_weight_order_fold_sampleXlocal_5XXunfold': [(lambda g:g.with_strategies(SeedStrategy(seed=999999)).V().group().by(T.label).by(__.both_e().values('weight').order().fold().sample(Scope.local, 5)).unfold())], 
    'g_withStrategiesXSeedStrategyX_V_order_byXlabel_descX_sampleX1X_byXageX': [(lambda g:g.with_strategies(SeedStrategy(seed=999999)).V().order().by(T.label, Order.desc).sample(1).by('age'))], 
    'g_VX1X_valuesXageX_sampleXlocal_5X': [(lambda g, vid1=None:g.V(vid1).values('age').sample(Scope.local, 5))], 
    'g_V_repeatXsampleX2XX_timesX2X': [(lambda g:g.V().repeat(__.sample(2)).times(2))], 
    'g_V_sampleX2X_sampleX2X': [(lambda g:g.V().sample(2).sample(2))], 
    'g_V3_repeatXout_order_byXperformancesX_sampleX2X_aggregateXxXX_untilXloops_isX2XX_capXxX_unfold': [(lambda g, vid3=None:g.V(vid3).repeat(__.out().order().by('performances').sample(2).aggregate('x')).until(__.loops().is_(2)).cap('x').unfold())], 
    'g_V3_out_order_byXperformancesX_sampleX2X_aggregateXxX_out_order_byXperformancesX_sampleX2X_aggregateXxX_capXxX_unfold': [(lambda g, vid3=None:g.V(vid3).out().order().by('performances').sample(2).aggregate('x').out().order().by('performances').sample(2).aggregate('x').cap('x').unfold())], 
    '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().values('name').order().tail(Scope.global_, 2))], 
    'g_V_valuesXnameX_order_tailX2X': [(lambda g:g.V().values('name').order().tail(2))], 
    'g_V_valuesXnameX_order_tailX2varX': [(lambda g, xx1=None:g.V().values('name').order().tail(xx1))], 
    'g_V_valuesXnameX_order_tail': [(lambda g:g.V().values('name').order().tail())], 
    'g_V_valuesXnameX_order_tailX7X': [(lambda g:g.V().values('name').order().tail(7))], 
    'g_V_repeatXbothX_timesX3X_tailX7X': [(lambda g:g.V().repeat(__.both()).times(3).tail(7))], 
    'g_V_repeatXin_outX_timesX3X_tailX7X_count': [(lambda g:g.V().repeat(__.in_().out()).times(3).tail(7).count())], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXaX_byXunfold_valuesXnameX_foldX_tailXlocal_1X_unfold': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select('a').by(__.unfold().values('name').fold()).tail(Scope.local, 1).unfold())], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXaX_byXunfold_valuesXnameX_foldX_tailXlocalX_unfold': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select('a').by(__.unfold().values('name').fold()).tail(Scope.local).unfold())], 
    'g_V_asXaX_out_asXbX_out_asXcX_selectXa_b_cX_byXnameX_tailXlocal_2X': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').select('a', 'b', 'c').by('name').tail(Scope.local, 2))], 
    'g_V_asXaX_out_asXbX_out_asXcX_selectXa_b_cX_byXnameX_tailXlocal_2varX': [(lambda g, xx1=None:g.V().as_('a').out().as_('b').out().as_('c').select('a', 'b', 'c').by('name').tail(Scope.local, xx1))], 
    'g_V_asXaX_out_asXbX_out_asXcX_selectXa_b_cX_byXnameX_tailXlocal_1X': [(lambda g:g.V().as_('a').out().as_('b').out().as_('c').select('a', 'b', 'c').by('name').tail(Scope.local, 1))], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXmixed_aX_byXunfold_valuesXnameX_foldX_tailXlocal_1X_unfold': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.mixed, 'a').by(__.unfold().values('name').fold()).tail(Scope.local, 1).unfold())], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXmixed_aX_byXunfold_valuesXnameX_foldX_tailXlocalX_unfold': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.mixed, 'a').by(__.unfold().values('name').fold()).tail(Scope.local).unfold())], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXmixed_aX_byXlimitXlocal_0XX_tailXlocal_1X': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.mixed, 'a').by(__.limit(Scope.local, 0)).tail(Scope.local, 1))], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXmixed_aX_byXunfold_valuesXnameX_foldX_tailXlocal_2X': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.mixed, 'a').by(__.unfold().values('name').fold()).tail(Scope.local, 2))], 
    'g_VX1X_valuesXageX_tailXlocal_5X': [(lambda g, vid1=None:g.V(vid1).values('age').tail(Scope.local, 50))], 
    'g_injectXlistX1_2_3XX_tailXlocal_1X': [(lambda g:g.inject([1, 2, 3]).tail(Scope.local, 1))], 
    'g_VX1X_valueMapXnameX_tailXlocal_1X': [(lambda g, vid1=None:g.V(vid1).value_map('name').tail(Scope.local, 1))], 
    'g_injectX1_2_3X_tailXlocal_1X_unfold': [(lambda g:g.inject([1, 2, 3]).tail(Scope.local, 1).unfold())], 
    'g_injectX1_2_3_4_5_6X_tailXlocal_1X': [(lambda g:g.inject([1, 2, 3], [4, 5, 6]).tail(Scope.local, 1))], 
    'g_injectX1_2_3_4_5X_tailXlocal_2X': [(lambda g:g.inject([1, 2, 3, 4, 5]).tail(Scope.local, 2))], 
    'g_V_valuesXnameX_isXtypeOfXGType_STRINGXX': [(lambda g:g.V().values('name').is_(P.type_of(GType.STRING)))], 
    'g_V_valuesXnameX_isXtypeOfXjava_lang_StringXX': [(lambda g:g.V().values('name').is_(P.type_of('String')))], 
    'g_V_hasXname_typeOfXGType_STRINGXX_valuesXnameX': [(lambda g:g.V().has('name', P.type_of(GType.STRING)).values('name'))], 
    'g_V_orXhasXname_typeOfXGType_STRINGXX__hasXage_typeOfXGType_INTXXX_valuesXnameX': [(lambda g:g.V().or_(__.has('name', P.type_of(GType.STRING)), __.has('age', P.type_of(GType.INT))).values('name'))], 
    'g_V_andXhasXname_typeOfXGType_STRINGXX__hasXage_typeOfXGType_INTXXX_valuesXnameX': [(lambda g:g.V().and_(__.has('name', P.type_of(GType.STRING)), __.has('age', P.type_of(GType.INT))).values('name'))], 
    'g_V_notXhasXage_typeOfXGType_STRINGXXX_valuesXnameX': [(lambda g:g.V().not_(__.has('age', P.type_of(GType.STRING))).values('name'))], 
    'g_V_valuesXageX_isXnotXtypeOfXGType_STRINGXXX': [(lambda g:g.V().values('age').is_(P.not_(P.type_of(GType.STRING))))], 
    'g_V_valuesXnameX_isXtypeOfXstringStringXX': [(lambda g:g.V().values('name').is_(P.type_of('String')))], 
    'g_V_orXvaluesXageX_isXtypeOfXGType_INTXX__valuesXnameX_isXtypeOfXGType_STRINGXXX_count': [(lambda g:g.V().or_(__.values('age').is_(P.type_of(GType.INT)), __.values('name').is_(P.type_of(GType.STRING))).count())], 
    'g_V_whereXvaluesXnameX_isXtypeOfXGType_STRINGXXX_valuesXnameX': [(lambda g:g.V().where(__.values('name').is_(P.type_of(GType.STRING))).values('name'))], 
    'g_V_whereXvaluesXageX_isXtypeOfXGType_STRINGXXX_count': [(lambda g:g.V().where(__.values('age').is_(P.type_of(GType.STRING))).count())], 
    'g_V_whereXnotXvaluesXageX_isXtypeOfXGType_STRINGXXXX_valuesXnameX': [(lambda g:g.V().where(__.not_(__.values('age').is_(P.type_of(GType.STRING)))).values('name'))], 
    'g_V_valuesXageX_isXtypeOfXGType_NULLXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.NULL)))], 
    'g_V_valuesXageX_isXtypeOfXGType_BOOLEANXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.BOOLEAN)))], 
    'g_V_valuesXageX_isXtypeOfXGType_CHARXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.CHAR)))], 
    'g_V_valuesXageX_isXtypeOfXGType_BINARYXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.BINARY)))], 
    'g_V_valuesXageX_isXtypeOfXGType_UUIDXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.UUID)))], 
    'g_V_valuesXageX_isXtypeOfXGType_DATETIMEXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.DATETIME)))], 
    'g_V_valuesXageX_isXtypeOfXGType_DURATIONXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.DURATION)))], 
    'g_V_valuesXageX_isXtypeOfXnon_registered_NameXX': [(lambda g:g.V().values('age').is_(P.type_of('non-registered-Name')))], 
    'g_injectXtrueX_isXtypeOfXGType_BOOLEANX': [(lambda g:g.inject(True).is_(P.type_of(GType.BOOLEAN)))], 
    'g_V_path_isXtypeOfXGType_PATHXX': [(lambda g:g.V().has_label('person').values('name').path().is_(P.type_of(GType.PATH)))], 
    'g_V_out_path_isXtypeOfXGType_PATHXX_count': [(lambda g:g.V().out().path().is_(P.type_of(GType.PATH)).count())], 
    'g_V_hasXname_markoX_out_out_path_isXtypeOfXGType_PATHXX': [(lambda g:g.V().has('name', 'marko').out().out().path().is_(P.type_of(GType.PATH)))], 
    'g_V_out_tree_isXtypeOfXGType_TREEXX_count': [(lambda g:g.V().has('name', 'marko').out().tree().is_(P.type_of(GType.TREE)).count())], 
    'g_V_whereXtree_isXtypeOfXGType_TREEXXX_values_name': [(lambda g:g.V().where(__.tree().is_(P.type_of(GType.TREE))).values('name'))], 
    'g_VX1X_outEXknowsX_subgraphXsgX_name_capXsgX_isXtypeOfXGType_GRAPHXX_count': [(lambda g:g.V().out_e('knows').subgraph('sg').cap('sg').is_(P.type_of(GType.GRAPH)).count())], 
    'g_VX1X_outEXknowsX_subgraphXsgX_name_capXsgX_isX_notXtypeOfXGType_GRAPHXXX_count': [(lambda g:g.V().out_e('knows').subgraph('sg').cap('sg').is_(P.not_(P.type_of(GType.GRAPH))).count())], 
    'g_V_valuesXageX_isXtypeOfXGType_PATHXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.PATH)))], 
    'g_V_valuesXageX_isXtypeOfXGType_TREEXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.TREE)))], 
    'g_V_valuesXageX_isXtypeOfXGType_GRAPHXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.GRAPH)))], 
    'g_V_valuesXageX_isXtypeOfXGType_VPROPERTYXX': [(lambda g:g.V().values('age').is_(P.type_of(GType.VPROPERTY)))], 
    'g_V_hasXageX_asXaX_out_in_hasXageX_asXbX_selectXa_bX_whereXa_eqXbXX': [(lambda g:g.V().has('age').as_('a').out().in_().has('age').as_('b').select('a', 'b').where('a', P.eq('b')))], 
    'g_V_hasXageX_asXaX_out_in_hasXageX_asXbX_selectXa_bX_whereXa_neqXbXX': [(lambda g:g.V().has('age').as_('a').out().in_().has('age').as_('b').select('a', 'b').where('a', P.neq('b')))], 
    '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').values('name').is_('josh')).in_('created').values('name'))], 
    'g_withSideEffectXa_josh_peterX_VX1X_outXcreatedX_inXcreatedX_name_whereXwithinXaXX': [(lambda g, vid1=None:g.with_side_effect('a', ['josh', 'peter']).V(vid1).out('created').in_('created').values('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')).values('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')).values('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')).values('name'))], 
    'g_VX1X_out_aggregateXxX_out_whereXnotXwithinXaXXX': [(lambda g, vid1=None:g.V(vid1).out().aggregate('x').out().where(P.not_(P.within('x'))))], 
    'g_withSideEffectXa_g_VX2XX_VX1X_out_whereXneqXaXX': [(lambda g, vid1=None:g.V(vid1).out().where(__.id_().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'))).values('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.not_(P.eq(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')).values('name'))], 
    'g_V_asXaX_outXcreatedX_asXbX_whereXandXasXbX_in__notXasXaX_outXcreatedX_hasXname_rippleXXX_selectXa_bX': [(lambda g:g.V().as_('a').out('created').as_('b').where(__.and_(__.as_('b').in_(), __.not_(__.as_('a').out('created').has('name', 'ripple')))).select('a', 'b'))], 
    '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.not_(P.eq('a').or_(P.eq('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').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').values('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').values('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').values('name'))], 
    'g_withStrategiesXProductiveByStrategyX_VX3X_asXaX_in_out_asXbX_whereXa_eqXbXX_byXageX_name': [(lambda g, vid3=None:g.with_strategies(ProductiveByStrategy()).V(vid3).as_('a').in_().out().as_('b').where('a', P.eq('b')).by('age').values('name'))], 
    'g_V_asXnX_whereXorXhasLabelXsoftwareX_hasLabelXpersonXXX_selectXnX_byXnameX': [(lambda g:g.V().as_('n').where(__.or_(__.has_label('software'), __.has_label('person'))).select('n').by('name'))], 
    'g_V_asXnX_whereXorXselectXnX_hasLabelXsoftwareX_selectXnX_hasLabelXpersonXXX_selectXnX_byXnameX': [(lambda g:g.V().as_('n').where(__.or_(__.select('n').has_label('software'), __.select('n').has_label('person'))).select('n').by('name'))], 
    'g_V_hasLabelXpersonX_asXxX_whereXinEXknowsX_count_isXgteX1XXX_selectXxX': [(lambda g:g.V().has_label('person').as_('x').where(__.in_e('knows').count().is_(P.gte(1))).select('x'))], 
    'get_g_V_whereXage_isXgt_30XX': [(lambda g:g.V().where(__.values('age').is_(P.gt(30))))], 
    'g_V_whereXlabel_isXsoftwareXX': [(lambda g:g.V().where(__.label().is_('software')))], 
    'g_V_whereXlabel_isXpersonXX': [(lambda g:g.V().where(__.label().is_('person')))], 
    'g_withStrategiesXAdjacentToIncidentStrategyX_V': [(lambda g:g.with_strategies(AdjacentToIncidentStrategy()).V())], 
    'g_withoutStrategiesXAdjacentToIncidentStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.AdjacentToIncidentStrategy')]).V())], 
    'g_withStrategiesXAdjacentToIncidentStrategyX_V_out_count': [(lambda g:g.with_strategies(AdjacentToIncidentStrategy()).V().out().count())], 
    'g_withStrategiesXAdjacentToIncidentStrategyX_V_whereXoutX': [(lambda g:g.with_strategies(AdjacentToIncidentStrategy()).V().where(__.out()))], 
    'g_withStrategiesXByModulatorOptimizationStrategyX_V_order_byXvaluesXnameXX': [(lambda g:g.with_strategies(ByModulatorOptimizationStrategy()).V().order().by(__.values('name')))], 
    'g_withoutStrategiesXByModulatorOptimizationStrategyX_V_order_byXvaluesXnameXX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ByModulatorOptimizationStrategy')]).V().order().by(__.values('name')))], 
    'g_withStrategiesXComputerFinalizationStrategyX_V': [(lambda g:g.with_strategies(ComputerFinalizationStrategy()).V())], 
    'g_withoutStrategiesXByModulatorOptimizationStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.finalization.ComputerFinalizationStrategy')]).V())], 
    'g_withStrategiesXComputerVerificationStrategyX_V': [(lambda g:g.with_strategies(ComputerVerificationStrategy()).V())], 
    'g_withoutStrategiesXComputerVerificationStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.ComputerVerificationStrategy')]).V())], 
    'g_withStrategiesXConnectiveStrategyStrategyX_V_hasXname_markoX_or_whereXinXknowsX_hasXname_markoXX': [(lambda g:g.with_strategies(ConnectiveStrategy()).V().has('name', 'marko').or_().where(__.in_('knows').has('name', 'marko')))], 
    'g_withoutStrategiesXConnectiveStrategyX_V_hasXname_markoX_or_whereXinXknowsX_hasXname_markoXX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.ConnectiveStrategy')]).V().has('name', 'marko').or_().where(__.in_('knows').has('name', 'marko')))], 
    'g_withStrategiesXCountStrategyX_V_whereXoutE_count_isX0XX': [(lambda g:g.with_strategies(CountStrategy()).V().where(__.out_e().count().is_(0)))], 
    'g_withoutStrategiesXCountStrategyX_V_whereXoutE_count_isX0XX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.CountStrategy')]).V().where(__.out_e().count().is_(0)))], 
    'g_withStrategiesXEarlyLimitStrategyX_V_out_order_byXnameX_valueMap_limitX3X_selectXnameX': [(lambda g:g.with_strategies(EarlyLimitStrategy()).V().out().order().by('name').value_map().limit(3).select('name'))], 
    'g_withoutStrategiesXEarlyLimitStrategyX_V_out_order_byXnameX_valueMap_limitX3X_selectXnameX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.EarlyLimitStrategy')]).V().out().order().by('name').value_map().limit(3).select('name'))], 
    'g_withStrategiesXEdgeLabelVerificationStrategyXthrowException_true_logWarning_falseXX_V': [(lambda g:g.with_strategies(EdgeLabelVerificationStrategy(throw_exception=True, log_warning=False)).V().out())], 
    'g_withStrategiesXEdgeLabelVerificationStrategyXthrowException_false_logWarning_falseXX_V': [(lambda g:g.with_strategies(EdgeLabelVerificationStrategy(throw_exception=False, log_warning=False)).V().out())], 
    'g_withoutStrategiesXEdgeLabelVerificationStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.EdgeLabelVerificationStrategy')]).V().out())], 
    'g_withStrategiesXElementIdStrategyX_V': [(lambda g:g.with_strategies(ElementIdStrategy()).V())], 
    'g_withoutStrategiesXElementIdStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.ElementIdStrategy')]).V())], 
    'g_withStrategiesXFilterRankingStrategyX_V_out_order_dedup': [(lambda g:g.with_strategies(FilterRankingStrategy()).V().out().order().dedup())], 
    'g_withoutStrategiesXFilterRankingStrategyX_V_out_order_dedup': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.FilterRankingStrategy')]).V().out().order().dedup())], 
    'g_withStrategiesXGraphFilterStrategyX_V': [(lambda g:g.with_strategies(GraphFilterStrategy()).V())], 
    'g_withoutStrategiesXGraphFilterStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.optimization.GraphFilterStrategy')]).V())], 
    'g_withStrategiesXHaltedTraverserStrategyXDetachedFactoryXX_V': [(lambda g:g.with_strategies(HaltedTraverserStrategy(halted_traverser_factory='org.apache.tinkerpop.gremlin.structure.util.detached.DetachedFactory')).V())], 
    'g_withStrategiesXHaltedTraverserStrategyXReferenceFactoryXX_V': [(lambda g:g.with_strategies(HaltedTraverserStrategy(halted_traverser_factory='org.apache.tinkerpop.gremlin.structure.util.reference.ReferenceFactory')).V())], 
    'g_withoutStrategiesXHaltedTraverserStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.HaltedTraverserStrategy')]).V())], 
    'g_withStrategiesXIdentityRemovalStrategyX_V_identity_out': [(lambda g:g.with_strategies(IdentityRemovalStrategy()).V().identity().out())], 
    'g_withoutStrategiesXIdentityRemovalStrategyX_V_identity_out': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.IdentityRemovalStrategy')]).V().identity().out())], 
    'g_withStrategiesXIncidentToAdjacentStrategyX_V_outE_inV': [(lambda g:g.with_strategies(IncidentToAdjacentStrategy()).V().out_e().in_v())], 
    'g_withoutStrategiesXIncidentToAdjacentStrategyX_V_outE_inV': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.IncidentToAdjacentStrategy')]).V().out_e().in_v())], 
    'g_withStrategiesXInlineFilterStrategyX_V_filterXhasXname_markoXX': [(lambda g:g.with_strategies(InlineFilterStrategy()).V().filter_(__.has('name', 'marko')))], 
    'g_withoutStrategiesXInlineFilterStrategyX_V_filterXhasXname_markoXX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.InlineFilterStrategy')]).V().filter_(__.has('name', 'marko')))], 
    'g_withStrategiesXLambdaRestrictionStrategyX_V': [(lambda g:g.with_strategies(LambdaRestrictionStrategy()).V())], 
    'g_withoutStrategiesXLambdaRestrictionStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.LambdaRestrictionStrategy')]).V())], 
    'g_withStrategiesXLazyBarrierStrategyX_V_out_bothE_count': [(lambda g:g.with_strategies(LazyBarrierStrategy()).V().out().both_e().count())], 
    'g_withoutStrategiesXLazyBarrierStrategyX_V_out_bothE_count': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.LazyBarrierStrategy')]).V().out().both_e().count())], 
    'g_withStrategiesXMatchAlgorithmStrategyXmatchAlgorithm_CountMatchAlgorithmXX_V_matchXa_knows_b__a_created_cX': [(lambda g:g.with_strategies(MatchAlgorithmStrategy(match_algorithm='org.apache.tinkerpop.gremlin.process.traversal.step.map.MatchStep$CountMatchAlgorithm')).V().match(__.as_('a').out('knows').as_('b'), __.as_('a').out('created').as_('c')))], 
    'g_withStrategiesXMatchAlgorithmStrategyXmatchAlgorithm_GreedyMatchAlgorithmXX_V_matchXa_knows_b__a_created_cX': [(lambda g:g.with_strategies(MatchAlgorithmStrategy(match_algorithm='org.apache.tinkerpop.gremlin.process.traversal.step.map.MatchStep$GreedyMatchAlgorithm')).V().match(__.as_('a').out('knows').as_('b'), __.as_('a').out('created').as_('c')))], 
    'g_withoutStrategiesXMatchAlgorithmStrategyX_V_matchXa_knows_b__a_created_cX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.finalization.MatchAlgorithmStrategy')]).V().match(__.as_('a').out('knows').as_('b'), __.as_('a').out('created').as_('c')))], 
    'g_withStrategiesXMatchPredicateStrategyX_V_matchXa_created_lop_b__b_0created_29_cX_whereXc_repeatXoutX_timesX2XX_selectXa_b_cX': [(lambda g:g.with_strategies(MatchPredicateStrategy()).V().match(__.as_('a').out('created').has('name', 'lop').as_('b'), __.as_('b').in_('created').has('age', 29).as_('c')).where(__.as_('c').repeat(__.out()).times(2)).select('a', 'b', 'c'))], 
    'g_withoutStrategiesXMatchPredicateStrategyX_V_matchXa_created_lop_b__b_0created_29_cX_whereXc_repeatXoutX_timesX2XX_selectXa_b_cX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.MatchPredicateStrategy')]).V().match(__.as_('a').out('created').has('name', 'lop').as_('b'), __.as_('b').in_('created').has('age', 29).as_('c')).where(__.as_('c').repeat(__.out()).times(2)).select('a', 'b', 'c'))], 
    'g_withStrategiesXMessagePassingReductionStrategyX_V': [(lambda g:g.with_strategies(MessagePassingReductionStrategy()).V())], 
    'g_withoutStrategiesXMessagePassingReductionStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.optimization.MessagePassingReductionStrategy')]).V())], 
    'g_V_coworker': [(lambda g:g.V().has_label('person').filter_(__.out_e('created')).aggregate('p').as_('p1').values('name').as_('p1n').select('p').unfold().where(P.neq('p1')).as_('p2').values('name').as_('p2n').select('p2').out('created').choose(__.in_('created').where(P.eq('p1')), __.values('name'), __.constant([])).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().has_label('person').filter_(__.out_e('created')).as_('p1').V().has_label('person').where(P.neq('p1')).filter_(__.out_e('created')).as_('p2').map(__.out('created').where(__.in_('created').as_('p1')).values('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_withStrategiesXOptionsStrategyX_V': [(lambda g:g.with_strategies(OptionsStrategy()).V())], 
    'g_withStrategiesXOptionsStrategyXmyVar_myValueXX_V': [(lambda g:g.with_strategies(OptionsStrategy(my_var='myValue')).V())], 
    'g_withoutStrategiesXOptionsStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.OptionsStrategy')]).V())], 
    'g_withStrategiesXOrderLimitStrategyX_V': [(lambda g:g.with_strategies(OrderLimitStrategy()).V())], 
    'g_withoutStrategiesXOrderLimitStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.OrderLimitStrategy')]).V())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'b').property('name', 'bob')), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).V().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'b').property('name', 'bob')), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a', 'b'])).V().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_cXX_V_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'b').property('name', 'bob')), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['c'])).V().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_bothE_weight': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).V().both_e().values('weight'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_bXX_V_bothE_weight': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['b'])).V().both_e().values('weight'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_bothE_dedup_weight': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a', 'b'])).V().both_e().dedup().values('weight'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_cXX_V_bothE_weight': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['c'])).V().both_e().values('weight'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_both_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).V().both().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_bXX_V_both_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['b'])).V().both().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_both_dedup_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a', 'b'])).V().both().dedup().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_cXX_V_both_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['c'])).V().both().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_V_out_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).V().out().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_bXX_V_in_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['b'])).V().in_().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_a_bXX_V_out_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a', 'b'])).V().out().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_cXX_V_out_name': [(lambda g:g.add_v('person').property('_partition', 'a').property('name', 'alice').as_('a').add_v('person').property('_partition', 'b').property('name', 'bob').as_('b').add_e('knows').from_('a').to('b').property('_partition', 'a').property('weight', 1.0).add_e('knows').from_('b').to('a').property('_partition', 'b').property('weight', 2.0)), (lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['c'])).V().out().values('name'))], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_addVXpersonX_propertyXname_aliceX_addXselfX': [(lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).add_v('person').property('name', 'alice').add_e('self')), (lambda g:g.V().has('person', 'name', 'alice').has('_partition', 'a')), (lambda g:g.V()), (lambda g:g.E().has('_partition', 'a')), (lambda g:g.E())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_injectXzeroX_addVXpersonX_propertyXname_aliceX_addXselfX': [(lambda g:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).inject(0).add_v('person').property('name', 'alice').add_e('self')), (lambda g:g.V().has('person', 'name', 'alice').has('_partition', 'a')), (lambda g:g.V()), (lambda g:g.E().has('_partition', 'a')), (lambda g:g.E())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_mergeV': [(lambda g, xx1=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).merge_v(xx1)), (lambda g, xx1=None:g.V().has('person', 'name', 'alice').has('_partition', 'a')), (lambda g, xx1=None:g.V())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_injectX0X_mergeV': [(lambda g, xx1=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).inject(0).merge_v(xx1)), (lambda g, xx1=None:g.V().has('person', 'name', 'alice').has('_partition', 'a')), (lambda g, xx1=None:g.V())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_mergeE': [(lambda g, xx1=None:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'a').property('name', 'bob')), (lambda g, xx1=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).merge_e(xx1)), (lambda g, xx1=None:g.E().has('knows', '_partition', 'a')), (lambda g, xx1=None:g.E())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_injectX0XmergeE': [(lambda g, xx1=None:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'a').property('name', 'bob')), (lambda g, xx1=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).inject(0).merge_e(xx1)), (lambda g, xx1=None:g.E().has('knows', '_partition', 'a')), (lambda g, xx1=None:g.E())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_mergeVXlabel_person_name_aliceX_optionXonMatch_name_bobX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('_partition', 'a').property('name', 'alice').add_v('person').property('_partition', 'b').property('name', 'alice')), (lambda g, xx1=None,xx2=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).merge_v(xx1).option(Merge.on_match, xx2)), (lambda g, xx1=None,xx2=None:g.V().has('person', 'name', 'bob').has('_partition', 'a')), (lambda g, xx1=None,xx2=None:g.V())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_mergeV_optionXonCreateX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('_partition', 'b').property('name', 'alice')), (lambda g, xx1=None,xx2=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).merge_v(xx1).option(Merge.on_create, xx2)), (lambda g, xx1=None,xx2=None:g.V().has('name', 'alice').has('age', 35).has('_partition', 'a')), (lambda g, xx1=None,xx2=None:g.V())], 
    'g_withStrategiesXPartitionStrategyXwrite_a_read_aXX_injectX0X__mergeV_optionXonCreateX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('_partition', 'b').property('name', 'alice')), (lambda g, xx1=None,xx2=None:g.with_strategies(PartitionStrategy(partition_key='_partition', write_partition='a', read_partitions=['a'])).inject(0).merge_v(xx1).option(Merge.on_create, xx2)), (lambda g, xx1=None,xx2=None:g.V().has('name', 'alice').has('age', 35).has('_partition', 'a')), (lambda g, xx1=None,xx2=None:g.V())], 
    'g_withStrategiesXPathProcessorStrategyX_V_asXaX_selectXaX_byXvaluesXnameXX': [(lambda g:g.with_strategies(PathProcessorStrategy()).V().as_('a').select('a').by(__.values('name')))], 
    'g_withoutStrategiesXPathProcessorStrategyX_V_asXaX_selectXaX_byXvaluesXnameXX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.PathProcessorStrategy')]).V().as_('a').select('a').by(__.values('name')))], 
    'g_withStrategiesXPathRetractionStrategyX_V': [(lambda g:g.with_strategies(PathRetractionStrategy()).V())], 
    'g_withoutStrategiesXPathRetractionStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.PathRetractionStrategy')]).V())], 
    'g_V_shortestpath': [(lambda g:g.V().as_('v').both().as_('v').project('src', 'tgt', 'p').by(__.select(Pop.first, 'v')).by(__.select(Pop.last, 'v')).by(__.select(Pop.all_, 'v')).as_('triple').group('x').by(__.select('src', 'tgt')).by(__.select('p').fold()).select('tgt').barrier().repeat(__.both().as_('v').project('src', 'tgt', 'p').by(__.select(Pop.first, 'v')).by(__.select(Pop.last, 'v')).by(__.select(Pop.all_, 'v')).as_('t').filter_(__.select(Pop.all_, 'p').count(Scope.local).as_('l').select(Pop.last, 't').select(Pop.all_, 'p').dedup(Scope.local).count(Scope.local).where(P.eq('l'))).where('src', P.neq('tgt')).select(Pop.last, 't').not_(__.select(Pop.all_, 'p').as_('p').count(Scope.local).as_('l').select(Pop.all_, 'x').unfold().filter_(__.select(Column.keys).where(P.eq('t')).by(__.select('src', 'tgt'))).filter_(__.select(Column.values).unfold().or_(__.count(Scope.local).where(P.lt('l')), __.where(P.eq('p'))))).barrier().group('x').by(__.select('src', 'tgt')).by(__.select(Pop.all_, 'p').fold()).select('tgt').barrier()).cap('x').select(Column.values).unfold().unfold().map(__.unfold().values('name').fold()))], 
    'g_V_playlist_paths': [(lambda g:g.with_strategies(SeedStrategy(seed=99999)).V().has('name', 'Bob_Dylan').in_('sungBy').as_('a').repeat(__.out().order().by(Order.shuffle).simple_path().from_('a')).until(__.out('writtenBy').has('name', 'Johnny_Cash')).limit(1).as_('b').repeat(__.out().order().by(Order.shuffle).as_('c').simple_path().from_('b').to('c')).until(__.out('sungBy').has('name', 'Grateful_Dead')).limit(1).path().from_('a').unfold().project('song', 'artists').by('name').by(__.coalesce(__.out('sungBy', 'writtenBy').dedup().values('name'), __.constant('Unknown')).fold()))], 
    'g_withStrategiesXProductiveByStrategyX_V_group_byXageX_byXnameX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().group().by('age').by('name'))], 
    'g_withoutStrategiesXProductiveByStrategyX_V_group_byXageX_byXnameX': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.ProductiveByStrategy')]).V().group().by('age').by('name'))], 
    'g_withStrategiesXProfileStrategyX_V': [(lambda g:g.with_strategies(ProfileStrategy()).V())], 
    'g_withoutStrategiesXProfileStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.finalization.ProfileStrategy')]).V())], 
    'g_withStrategiesXReadOnlyStrategyX_V': [(lambda g:g.with_strategies(ReadOnlyStrategy()).V())], 
    'g_withStrategiesXReadOnlyStrategyX_V_outXknowsX_name': [(lambda g:g.with_strategies(ReadOnlyStrategy()).V().out('knows').values('name'))], 
    'g_withStrategiesXReadOnlyStrategyX_addVXpersonX': [(lambda g:g.with_strategies(ReadOnlyStrategy()).add_v('person'))], 
    'g_withStrategiesXReadOnlyStrategyX_addVXpersonX_fromXVX1XX_toXVX2XX': [(lambda g, vid2=None,vid1=None:g.with_strategies(ReadOnlyStrategy()).add_e('link').from_(__.V(vid1)).to(__.V(vid2)))], 
    'g_withStrategiesXReadOnlyStrategyX_V_addVXpersonX_fromXVX1XX': [(lambda g, vid1=None:g.with_strategies(ReadOnlyStrategy()).V().add_e('link').from_(__.V(vid1)))], 
    'g_withStrategiesXReadOnlyStrategyX_V_propertyXname_joshX': [(lambda g:g.with_strategies(ReadOnlyStrategy()).V().property('name', 'josh'))], 
    'g_withStrategiesXReadOnlyStrategyX_E_propertyXweight_0X': [(lambda g:g.with_strategies(ReadOnlyStrategy()).E().property('weight', 0))], 
    'g_V_classic_recommendation': [(lambda g:g.V().has('name', 'DARK STAR').as_('a').out('followedBy').aggregate('stash').in_('followedBy').where(P.neq('a').and_(P.not_(P.within('stash')))).group_count().unfold().project('x', 'y', 'z').by(__.select(Column.keys).values('name')).by(__.select(Column.keys).values('performances')).by(__.select(Column.values)).order().by(__.select('z'), Order.desc).by(__.select('y'), Order.asc).limit(5).local(__.aggregate('m')).select('x'))], 
    'g_V_classic_recommendation_ranked': [(lambda g:g.V().has('name', 'DARK STAR').as_('a').out('followedBy').aggregate('stash').in_('followedBy').where(P.neq('a').and_(P.not_(P.within('stash')))).group_count().unfold().project('x', 'y', 'z').by(__.select(Column.keys).values('name')).by(__.select(Column.keys).values('performances')).by(__.select(Column.values)).order().by(__.select('z'), Order.desc).by(__.select('y'), Order.asc).limit(5).local(__.aggregate('m')))], 
    'g_withStrategiesXReferenceElementStrategyX_V': [(lambda g:g.with_strategies(ReferenceElementStrategy()).V())], 
    'g_withoutStrategiesXReferenceElementStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.finalization.ReferenceElementStrategy')]).V())], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXoutX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.out()).times(2))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXoutX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.out()).times(2))], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXinX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.in_()).times(2))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXinX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.in_()).times(2))], 
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    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXin_hasXage_gtX20XXX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.in_().has('age', P.gt(20))).times(2))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXin_hasXage_gtX20XXX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.in_().has('age', P.gt(20))).times(2))], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXboth_hasXage_ltX30XXX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.both().has('age', P.lt(30))).times(2))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXboth_hasXage_ltX30XXX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.both().has('age', P.lt(30))).times(2))], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXbothE_otherV_hasXage_ltX30XXX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.both_e().other_v().has('age', P.lt(30))).times(2))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXbothE_otherV_hasXage_ltX30XXX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.both_e().other_v().has('age', P.lt(30))).times(2))], 
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    'g_withoutStrategiesXRepeatUnrollStrategyX_V_repeatXboth_limitX1XX_timesX2X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().repeat(__.both().limit(1)).times(2))], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_order_byXnameX_repeatXboth_order_byXnameX_aggregateXxXX_timesX2X_limitX10X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().order().by('name').repeat(__.both().order().by('name').aggregate('x')).times(2).limit(10))], 
    'g_withoutStrategiesXRepeatUnrollStrategyX_V_order_byXnameX_repeatXboth_order_byXnameX_aggregateXxXX_timesX2X_limitX10X': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.optimization.RepeatUnrollStrategy')]).V().order().by('name').repeat(__.both().order().by('name').aggregate('x')).times(2).limit(10))], 
    'g_withStrategiesXRepeatUnrollStrategyX_V_repeatXboth_sampleX1XX_timesX2X': [(lambda g:g.with_strategies(RepeatUnrollStrategy()).V().repeat(__.both().sample(1)).times(2))], 
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    'g_withStrategiesXReservedKeysVerificationStrategyXthrowException_trueXX_addVXpersonX_propertyXage_29X_propertyXname_markoX': [(lambda g:g.with_strategies(ReservedKeysVerificationStrategy(throw_exception=True, keys={'age'})).add_v('person').property('age', 29).property('name', 'marko'))], 
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    'g_withoutStrategiesXSeedStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.decoration.SeedStrategy')]).V())], 
    'g_withStrategiesXStandardVerificationStrategyX_V': [(lambda g:g.with_strategies(StandardVerificationStrategy()).V())], 
    'g_withoutStrategiesXStandardVerificationStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.traversal.strategy.verification.StandardVerificationStrategy')]).V())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_V': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_E': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).E())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_outE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).out_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_inE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).in_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_out': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).out())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_in': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).in_())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_both': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).both())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_bothE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).both_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_VX4X_localXbothE_limitX1XX': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).V(vid4).local(__.both_e().limit(1)))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_EX11X_bothV': [(lambda g, eid11=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).E(eid11).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphAXX_EX12X_bothV': [(lambda g, eid12=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')))).E(eid12).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_V': [(lambda g:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_E': [(lambda g:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).E())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX1X_outE': [(lambda g, vid1=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid1).out_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX1X_out': [(lambda g, vid1=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid1).out())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX1X_outXcreatedX': [(lambda g, vid1=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid1).out('knows'))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_outXcreatedX': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid4).out('created'))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_outE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid4).out_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_out': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid4).out())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_bothE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid4).both_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_both': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).V(vid4).both())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphBXX_VX4X_outV_outE': [(lambda g, eid8=None:g.with_strategies(SubgraphStrategy(edges=__.or_(__.has('weight', 1.0).has_label('knows'), __.has('weight', 0.4).has_label('created').out_v().has('name', 'marko'), __.has('weight', 1.0).has_label('created')))).E(eid8).out_v().out_e())], 
    'g_withStrategiesXSubgraphStrategyXvertices_inXknowsX_hasXname_markoXXX_V_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.in_('knows').has('name', 'marko'))).V().values('name'))], 
    'g_withStrategiesXSubgraphStrategyXvertices_in_hasXname_markoXXX_V_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.in_().has('name', 'marko'))).V().values('name'))], 
    'g_withStrategiesXSubgraphStrategyXvertices_inXknowsX_whereXoutXcreatedX_hasXname_lopXXXX_V_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.in_('knows').where(__.out('created').has('name', 'lop')))).V().values('name'))], 
    'g_withStrategiesXSubgraphStrategyXvertices_in_hasXname_markoX_outXcreatedX_hasXname_lopXXXX_V_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.in_().where(__.has('name', 'marko').out('created').has('name', 'lop')))).V().values('name'))], 
    'g_withStrategiesXSubgraphStrategyXvertices_orXboth_hasXname_markoX_hasXname_markoXXXX_V_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.or_(__.both().has('name', 'marko'), __.has('name', 'marko')))).V().where(__.both_e().count().is_(P.neq(0))).values('name'))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_V': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_E': [(lambda g:g.with_strategies(SubgraphStrategy(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_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_outE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).out_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_inE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).in_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_out': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).out())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_in': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).in_())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_both': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).both())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_bothE': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).both_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_VX4X_localXbothE_limitX1XX': [(lambda g, vid4=None:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('josh', 'lop', 'ripple')), edges=__.or_(__.has('weight', 0.4).has_label('created'), __.has('weight', 1.0).has_label('created')))).V(vid4).local(__.both_e().limit(1)))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_EX11X_bothV': [(lambda g, eid11=None:g.with_strategies(SubgraphStrategy(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(eid11).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_EX12X_bothV': [(lambda g, eid12=None:g.with_strategies(SubgraphStrategy(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(eid12).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphCXX_EX9X_bothV': [(lambda g, eid9=None:g.with_strategies(SubgraphStrategy(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(eid9).both_v())], 
    'g_withStrategiesXSubgraphStrategyXvertices_hasXname_withinXripple_josh_markoXXX_V_asXaX_out_in_asXbX_dedupXa_bX_name': [(lambda g:g.with_strategies(SubgraphStrategy(vertices=__.has('name', P.within('ripple', 'josh', 'marko')))).V().as_('a').out().in_().as_('b').dedup('a', 'b').values('name'))], 
    'g_withStrategiesXSubgraphStrategyXvertexProperties_hasXstartTime_gtX2005XXXX_V_propertiesXlocationX_value': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)))).V().properties('location').value())], 
    'g_withStrategiesXSubgraphStrategyXvertexProperties_hasXstartTime_gtX2005XXXX_V_valuesXlocationX': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)))).V().values('location'))], 
    'g_withStrategiesXSubgraphStrategyXvertexProperties_hasXstartTime_gtX2005XXXX_V_asXaX_propertiesXlocationX_asXbX_selectXaX_outE_properties_selectXbX_value_dedup': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)))).V().as_('a').properties('location').as_('b').select('a').out_e().properties().select('b').value().dedup())], 
    'g_withStrategiesXSubgraphStrategyXvertexProperties_hasXstartTime_gtX2005XXXX_V_asXaX_valuesXlocationX_asXbX_selectXaX_outE_properties_selectXbX_dedup': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)))).V().as_('a').values('location').as_('b').select('a').out_e().properties().select('b').dedup())], 
    'g_withStrategiesXSubgraphStrategyXvertices_hasXname_neqXstephenXX_vertexProperties_hasXstartTime_gtX2005XXXX_V_propertiesXlocationX_value': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)), vertices=__.has('name', P.neq('stephen')))).V().properties('location').value())], 
    'g_withStrategiesXSubgraphStrategyXvertices_hasXname_neqXstephenXX_vertexProperties_hasXstartTime_gtX2005XXXX_V_valuesXlocationX': [(lambda g:g.with_strategies(SubgraphStrategy(vertex_properties=__.has('startTime', P.gt(2005)), vertices=__.has('name', P.neq('stephen')))).V().values('location'))], 
    'g_withStrategiesXSubgraphStrategyXedges_hasLabelXusesX_hasXskill_5XXX_V_outE_valueMap_selectXvaluesX_unfold': [(lambda g:g.with_strategies(SubgraphStrategy(edges=__.has_label('uses').has('skill', 5))).V().out_e().value_map().select(Column.values).unfold())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_V': [(lambda g: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')))).V())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_E': [(lambda g: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_withStrategiesXSubgraphStrategyXcheckAdjacentVertices_subgraphDXX_E': [(lambda g:g.with_strategies(SubgraphStrategy(check_adjacent_vertices=True, 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_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_outE': [(lambda g, vid4=None: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')))).V(vid4).out_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_inE': [(lambda g, vid4=None: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')))).V(vid4).in_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_out': [(lambda g, vid4=None: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')))).V(vid4).out())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_in': [(lambda g, vid4=None: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')))).V(vid4).in_())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_both': [(lambda g, vid4=None: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')))).V(vid4).both())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_bothE': [(lambda g, vid4=None: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')))).V(vid4).both_e())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_VX4X_localXbothE_limitX1XX': [(lambda g, vid4=None: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')))).V(vid4).local(__.both_e().limit(1)))], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_EX11X_bothV': [(lambda g, eid11=None: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(eid11).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_EX12X_bothV': [(lambda g, eid12=None: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(eid12).both_v())], 
    'g_withStrategiesXSubgraphStrategyXsubgraphDXX_EX9X_bothV': [(lambda g, eid9=None: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(eid9).both_v())], 
    'g_withStrategiesXSubgraphStrategyXcheckAdjacentVertices_subgraphDXX_EX9X_bothV': [(lambda g, eid9=None:g.with_strategies(SubgraphStrategy(check_adjacent_vertices=True, 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(eid9).both_v())], 
    'g_withStrategiesXVertexProgramRestrictionStrategyX_withoutStrategiesXVertexProgramStrategyX_V': [(lambda g:g.with_strategies(VertexProgramRestrictionStrategy()).without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.decoration.VertexProgramStrategy')]).V())], 
    'g_withStrategiesXVertexProgramRestrictionStrategy_VertexProgramStrategyX_V': [(lambda g:g.with_strategies(VertexProgramRestrictionStrategy(), VertexProgramStrategy()).V())], 
    'g_withoutStrategiesXVertexProgramRestrictionStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.verification.VertexProgramRestrictionStrategy')]).with_strategies(VertexProgramStrategy()).V())], 
    'g_withStrategiesXVertexProgramStrategyX_V': [(lambda g:g.with_strategies(VertexProgramStrategy()).V())], 
    'g_withoutStrategiesXVertexProgramStrategyX_V': [(lambda g:g.without_strategies(*[GremlinType('org.apache.tinkerpop.gremlin.process.computer.traversal.strategy.decoration.VertexProgramStrategy')]).V())], 
    'g_VX1X_asXaX_outXcreatedX_addEXcreatedByX_toXaX': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, vid1=None:g.V(vid1).as_('a').out('created').add_e('createdBy').to('a')), (lambda g, vid1=None:g.E()), (lambda g, vid1=None:g.V(vid1).in_e())], 
    'g_VX1X_asXaX_outXcreatedX_addEXcreatedByX_toXaX_propertyXweight_2X': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, vid1=None:g.V(vid1).as_('a').out('created').add_e('createdBy').to('a').property('weight', 2.0)), (lambda g, vid1=None:g.E()), (lambda g, vid1=None:g.V(vid1).both_e()), (lambda g, vid1=None:g.V(vid1).in_e().has('weight', 2.0))], 
    'g_V_outE_propertyXweight_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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().out_e().property('weight', None)), (lambda g:g.E().properties('weight'))], 
    'g_V_aggregateXxX_asXaX_selectXxX_unfold_addEXexistsWithX_toXaX_propertyXtime_nowX': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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, vid1=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, vid1=None,vid6=None:g.V(vid1).add_e('knows').to('b').property('weight', 0.5)), (lambda g, vid1=None,vid6=None:g.E()), (lambda g, vid1=None,vid6=None:g.V(vid1).both_e()), (lambda g, vid1=None,vid6=None:g.V(vid1).in_e('knows')), (lambda g, vid1=None,vid6=None:g.V(vid1).out_e('knows')), (lambda g, vid1=None,vid6=None:g.V(vid1).both_e('knows').has('weight', 0.5)), (lambda g, vid1=None,vid6=None:g.V(vid6).both_e()), (lambda g, vid1=None,vid6=None:g.V(vid6).in_e('knows')), (lambda g, vid1=None,vid6=None:g.V(vid6).out_e('knows')), (lambda g, vid1=None,vid6=None:g.V(vid6).both_e('knows').has('weight', 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().limit(1).both_e()), (lambda g:g.V().limit(1).in_e()), (lambda g:g.V().limit(1).out_e())], 
    'g_V_hasXname_markoX_asXaX_outEXcreatedX_asXbX_inV_addEXselectXbX_labelX_toXaX': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, vid1=None:g.V().has('name', 'marko').as_('a').out_e('created').as_('b').in_v().add_e(__.select('b').label()).to('a')), (lambda g, vid1=None:g.E()), (lambda g, vid1=None:g.V(vid1).both_e()), (lambda g, vid1=None:g.V(vid1).in_e('created')), (lambda g, vid1=None:g.V(vid1).in_('created').has('name', 'lop')), (lambda g, vid1=None:g.V(vid1).out_e('created'))], 
    'g_addEXV_outE_label_groupCount_orderXlocalX_byXvalues_descX_selectXkeysX_unfold_limitX1XX_fromXV_hasXname_vadasXX_toXV_hasXname_lopXX': [(lambda g, vid2=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, vid2=None:g.add_e(__.V().out_e().label().group_count().order(Scope.local).by(Column.values, Order.desc).select(Column.keys).unfold().limit(1)).from_(__.V().has('name', 'vadas')).to(__.V().has('name', 'lop'))), (lambda g, vid2=None:g.E()), (lambda g, vid2=None:g.V(vid2).both_e()), (lambda g, vid2=None:g.V(vid2).in_e('knows')), (lambda g, vid2=None:g.V(vid2).out_e('created')), (lambda g, vid2=None:g.V(vid2).out('created').has('name', 'lop'))], 
    'g_addEXknowsX_fromXVXvid1XX_toXVXvid6XX_propertyXweight_0_1X': [(lambda g, xx1=None,vid6=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, xx1=None,vid6=None,vid1=None:g.add_e('knows').from_(__.V(vid1)).to(__.V(vid6)).property('weight', xx1)), (lambda g, xx1=None,vid6=None,vid1=None:g.E()), (lambda g, xx1=None,vid6=None,vid1=None:g.V(vid1).out_e('knows')), (lambda g, xx1=None,vid6=None,vid1=None:g.V(vid1).out('knows').has('name', 'peter'))], 
    'g_addEXknowsvarX_fromXVXvid1XX_toXVXvid6XX_propertyXweight_0_1X': [(lambda g, xx1=None,vid6=None,xx2=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, xx1=None,vid6=None,xx2=None,vid1=None:g.add_e(xx1).from_(__.V(vid1)).to(__.V(vid6)).property('weight', xx2)), (lambda g, xx1=None,vid6=None,xx2=None,vid1=None:g.E()), (lambda g, xx1=None,vid6=None,xx2=None,vid1=None:g.V(vid1).out_e('knows')), (lambda g, xx1=None,vid6=None,xx2=None,vid1=None:g.V(vid1).out('knows').has('name', 'peter'))], 
    'g_VXaX_addEXknowsX_toXbX_propertyXweight_0_1X': [(lambda g, xx1=None,vid6=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, xx1=None,vid6=None,vid1=None:g.V(vid1).add_e('knows').to(__.V(vid6)).property('weight', xx1)), (lambda g, xx1=None,vid6=None,vid1=None:g.E()), (lambda g, xx1=None,vid6=None,vid1=None:g.V(vid1).out_e('knows')), (lambda g, xx1=None,vid6=None,vid1=None:g.V(vid1).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_addEXknowsvarXpropertyXweight_nullXfromXV_hasXname_markoXX_toXV_hasXname_vadasXX': [(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.add_e(xx1).property('weight', None).from_(__.V().has('name', 'marko')).to(__.V().has('name', 'vadas'))), (lambda g, xx1=None:g.E().has('knows', 'weight', None))], 
    'g_unionXaddEXknowsvarXpropertyXweight_nullXfromXV_hasXname_markoXX_toXV_hasXname_vadasXXX': [(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.union(__.add_e(xx1).property('weight', 1).from_(__.V().has('name', 'marko')).to(__.V().has('name', 'vadas')))), (lambda g, xx1=None:g.E().has('knows', 'weight', 1))], 
    'g_addEXedgeX_fromXV_hasXname_markoXX_toXV_hasXname_vadasXX_propertyXweight_0_5X_withXkey_valueX_valuesXweight_keyX': [(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('edge').from_(__.V().has('name', 'marko')).to(__.V().has('name', 'vadas')).property('weight', 0.5).with_('key', 'value').values('weight', 'key'))], 
    '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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().add_v('animal').property('age', 0)), (lambda g:g.V().has('animal', 'age', 0))], 
    'g_V_addVXanimalvarX_propertyXage_0varX': [(lambda g, xx1=None,xx2=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, xx1=None,xx2=None:g.V().add_v(xx1).property('age', xx2)), (lambda g, xx1=None,xx2=None: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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.add_v('person').property('name', 'stephen')), (lambda g:g.V().has('person', 'name', 'stephen'))], 
    'g_addVXpersonvarX_propertyXname_stephenvarX': [(lambda g, xx1=None,xx2=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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g, xx1=None,xx2=None:g.add_v(xx1).property('name', xx2)), (lambda g, xx1=None,xx2=None: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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().has('name', 'marko').property('friendWeight', __.out_e('knows').values('weight').sum_(), 'acl', 'private')), (lambda g:g.V().has('person', 'name', 'marko').has('friendWeight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.with_side_effect('a', 'marko').add_v().property('name', __.select('a')).values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().add_v('animal').property('name', __.values('name')).property('name', 'an animal').property(__.values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.with_side_effect('a', 'name').add_v().property(__.select('a'), 'marko').values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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_(WithOptions.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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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_propertyXlabel_personvarX': [(lambda g, xx1=None:g.add_v().property(T.label, xx1)), (lambda g, xx1=None:g.V().has_label('person'))], 
    'g_addV_propertyXid_1X': [(lambda g:g.add_v().property(T.id_, 1)), (lambda g:g.V().has_id('1'))], 
    'g_addV_propertyXidvar_1varX': [(lambda g, xx1=None:g.add_v().property(T.id_, xx1)), (lambda g, xx1=None:g.V().has_id('1'))], 
    'g_addV_propertyXmapX': [(lambda g:g.add_v().property({ 'name': 'foo', 'age': 42 })), (lambda g:g.V().has('name', 'foo'))], 
    'g_addV_propertyXsingle_mapX': [(lambda g:g.add_v().property(Cardinality.single, { 'name': 'foo', '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({ 'name': CardinalityValue.set_('bar'), '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', 'age': CardinalityValue.single(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').property(None)), (lambda g:g.V().has_label('person').values())], 
    'g_addV_propertyXemptyX': [(lambda g:g.add_v('person').property({  })), (lambda g:g.V().has_label('person').values())], 
    'g_addV_propertyXset_nullX': [(lambda g:g.add_v('foo').property(Cardinality.set_, None)), (lambda g:g.V().has_label('foo').values())], 
    'g_addV_propertyXset_emptyX': [(lambda g:g.add_v('foo').property(Cardinality.set_, {  })), (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(__.values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().limit(3).add_v('software').aggregate('a1').by(T.label).aggregate('a2').by(T.label).cap('a1', 'a2').select('a1', 'a2').by(__.unfold().fold()))], 
    'g_addV_propertyXname_markoX_withXkey_valueX_valuesXname_keyX': [(lambda g:g.add_v().property('name', 'marko').with_('key', 'value').values('name', 'key'))], 
    'g_addV_propertyXname_marko_since_2010X_withXkey_valueX_propertiesXnameX_valuesXsince_keyX': [(lambda g:g.add_v().property('name', 'marko', 'since', 2010).with_('key', 'value').properties('name').values('since', 'key'))], 
    'g_injectX1X_asBool': [(lambda g:g.inject(1).as_bool())], 
    'g_injectX3_14X_asBool': [(lambda g:g.inject(3.14).as_bool())], 
    'g_injectXneg_1X_asBool': [(lambda g:g.inject(-1).as_bool())], 
    'g_injectX0X_asBool': [(lambda g:g.inject(0).as_bool())], 
    'g_injectXneg_0X_asBool': [(lambda g:g.inject(-0.0).as_bool())], 
    'g_injectXNaNX_asBool': [(lambda g:g.inject(float('nan')).as_bool())], 
    'g_injectXbool_trueX_asBool': [(lambda g:g.inject(True).as_bool())], 
    'g_injectXfalseX_asBool': [(lambda g:g.inject(False).as_bool())], 
    'g_injectXtrueX_asBool': [(lambda g:g.inject('true').as_bool())], 
    'g_injectXmixed_trueX_asBool': [(lambda g:g.inject('tRUe').as_bool())], 
    'g_injectXnullX_asBool': [(lambda g:g.inject(None).as_bool())], 
    'g_injectXhelloX_asBool': [(lambda g:g.inject('hello').as_bool())], 
    'g_injectX1_2X_asBool': [(lambda g:g.inject([1, 2]).as_bool())], 
    'g_VXX_localX_outE_countX_asBool': [(lambda g:g.V().local(__.out_e().count()).as_bool())], 
    'g_V_sackXassignX_byX_hasLabelXpersonX_count_asBoolX_sackXandX_byX_outE_count_asBoolX_sack_path': [(lambda g:g.V().sack(Operator.assign).by(__.has_label('person').count().as_bool()).sack(Operator.and_).by(__.out_e().count().as_bool()).sack().path())], 
    'g_injectXstrX_asDate': [(lambda g:g.inject('2023-08-02T00:00:00Z').as_date())], 
    'g_injectXstr_offsetX_asDate': [(lambda g:g.inject('2023-08-02T00:00:00-07:00').as_date())], 
    'g_injectX1694017707000X_asDate': [(lambda g:g.inject(long(1694017707000)).as_date())], 
    'g_injectX1694017708000LX_asDate': [(lambda g:g.inject(long(1694017708000)).as_date())], 
    'g_injectX1694017709000dX_asDate': [(lambda g:g.inject(1694017709000.1).as_date())], 
    'g_injectX1_2X_asDate': [(lambda g:g.inject([1, 2]).as_date())], 
    'g_injectXnullX_asDate': [(lambda g:g.inject(None).as_date())], 
    'g_injectXinvalidstrX_asDate': [(lambda g:g.inject('This String is not an ISO 8601 Date').as_date())], 
    'g_V_valuesXbirthdayX_asDate_asNumber_asDate': [(lambda g:g.add_v('person').property('name', 'alice').property('birthday', '2020-08-02').add_v('person').property('name', 'john').property('birthday', '1988-12-10').add_v('person').property('name', 'charlie').property('birthday', '2002-02-01').add_v('person').property('name', 'suzy').property('birthday', '1965-10-31')), (lambda g:g.V().values('birthday').as_date().as_number().as_date())], 
    'g_injectX5bX_asNumber': [(lambda g:g.inject(5).as_number())], 
    'g_injectX5sX_asNumber': [(lambda g:g.inject(5).as_number())], 
    'g_injectX5iX_asNumber': [(lambda g:g.inject(5).as_number())], 
    'g_injectX5lX_asNumber': [(lambda g:g.inject(long(5)).as_number())], 
    'g_injectX5nX_asNumber': [(lambda g:g.inject(bigint(5)).as_number())], 
    'g_injectX5_0X_asNumber': [(lambda g:g.inject(5.0).as_number())], 
    'g_injectX5_75fX_asNumber': [(lambda g:g.inject(5.75).as_number())], 
    'g_injectX5X_asNumber': [(lambda g:g.inject('5').as_number())], 
    'g_injectXtestX_asNumber': [(lambda g:g.inject('test').as_number())], 
    'g_injectX_1_2_3_4X_asNumber': [(lambda g:g.inject([1, 2, 3, 4]).as_number())], 
    'g_injectX1_2_3_4X_unfold_asNumber': [(lambda g:g.inject([1, 2, 3, 4]).unfold().as_number())], 
    'g_injectX_1__2__3__4_X_asNumberXX_foldXX': [(lambda g:g.inject('1', 2, '3', 4).as_number().fold())], 
    'g_injectX5_43X_asNumberXGType_INTX': [(lambda g:g.inject(5.43).as_number(GType.INT))], 
    'g_injectX5_67X_asNumberXGType_INTX': [(lambda g:g.inject(5.67).as_number(GType.INT))], 
    'g_injectX5X_asNumberXGType_LONGX': [(lambda g:g.inject(5).as_number(GType.LONG))], 
    'g_injectX12X_asNumberXGType_BYTEX': [(lambda g:g.inject(12).as_number(GType.BYTE))], 
    'g_injectX32768X_asNumberXGType_SHORTX': [(lambda g:g.inject(32768).as_number(GType.SHORT))], 
    'g_injectX300X_asNumberXGType_BYTEX': [(lambda g:g.inject(300).as_number(GType.BYTE))], 
    'g_injectX32768X_asNumberXGType_VertexX': [(lambda g:g.inject(32768).as_number(GType.VERTEX))], 
    'g_injectX5X_asNumberXGType_BYTEX': [(lambda g:g.inject('5').as_number(GType.BYTE))], 
    'g_injectX1_000X_asNumberXGType_BIGINTX': [(lambda g:g.inject('1,000').as_number(GType.BIGINT))], 
    'g_injectX1_2_3_4_0x5X_asNumber_sum_asNumberXGType_BYTEX': [(lambda g:g.inject(1.0, 2, 3, '4', '0x5').as_number().sum_().as_number(GType.BYTE))], 
    'g_injectXnullX_asNumberXGType_INTX': [(lambda g:g.inject(None).as_number(GType.INT))], 
    'g_V_asXaX_outXknowsX_asXbX_mathXa_plus_bX_byXageX_asNumberXGType_INTX': [(lambda g:g.V().as_('a').out('knows').as_('b').math('a + b').by('age').as_number(GType.INT))], 
    'g_withSideEffectXx_100X_V_age_mathX__plus_xX_asNumberXGType_LONGX': [(lambda g:g.with_side_effect('x', 100).V().values('age').math('_ + x').as_number(GType.LONG))], 
    'g_V_valuesXageX_asString_asNumberXGType_DOUBLEX': [(lambda g:g.V().values('age').as_string().as_number(GType.DOUBLE))], 
    'g_V_valuesXbirthdayX_asNumber_asDate_asNumber': [(lambda g:g.add_v('person').property('name', 'alice').property('birthday', long(1596326400000)).add_v('person').property('name', 'john').property('birthday', long(597715200000)).add_v('person').property('name', 'charlie').property('birthday', long(1012521600000)).add_v('person').property('name', 'suzy').property('birthday', long(-131587200000))), (lambda g:g.V().values('birthday').as_number().as_date().as_number())], 
    'g_injectX1_2X_asString': [(lambda g:g.inject(1, 2).as_string())], 
    'g_injectX1_2X_asStringXlocalX': [(lambda g:g.inject(1, 2).as_string(Scope.local))], 
    'g_injectXlist_1_2X_asStringXlocalX': [(lambda g:g.inject([1, 2]).as_string(Scope.local))], 
    'g_injectX1_nullX_asString': [(lambda g:g.inject(None, 1).as_string())], 
    'g_injectX1_nullX_asStringXlocalX': [(lambda g:g.inject([1, None]).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().has_label('person').values('age').as_string())], 
    'g_V_hasLabelXpersonX_valuesXageX_order_fold_asStringXlocalX': [(lambda g:g.V().has_label('person').values('age').order().fold().as_string(Scope.local))], 
    'g_V_hasLabelXpersonX_valuesXageX_asString_concatX_years_oldX': [(lambda g:g.V().has_label('person').values('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'))], 
    'g_callXlistX_withXstring_traversalX': [(lambda g:g.call('--list').with_('service', __.constant('tinker.search')))], 
    'g_callXlist_mapX': [(lambda g, xx1=None:g.call('--list', xx1))], 
    'g_callXlist_traversalX': [(lambda g:g.call('--list', __.project('service').by(__.constant('tinker.search'))))], 
    'g_callXlist_map_traversalX': [(lambda g, xx1=None:g.call('--list', xx1, __.project('service').by(__.constant('tinker.search'))))], 
    'g_callXsearch_mapX': [(lambda g, xx1=None:g.call('tinker.search', xx1).element())], 
    'g_callXsearch_traversalX': [(lambda g:g.call('tinker.search', __.project('search').by(__.constant('vada'))).element())], 
    'g_callXsearchX_withXstring_stringX': [(lambda g:g.call('tinker.search').with_('search', 'vada').element())], 
    'g_callXsearchX_withXstring_traversalX': [(lambda g:g.call('tinker.search').with_('search', __.constant('vada')).element())], 
    'g_callXsearch_mapX_withXstring_VertexX': [(lambda g, xx1=None:g.call('tinker.search', xx1).with_('type', 'Vertex').element())], 
    'g_callXsearch_mapX_withXstring_EdgeX': [(lambda g, xx1=None:g.call('tinker.search', xx1).with_('type', 'Edge').element())], 
    'g_callXsearch_mapX_withXstring_VertexPropertyX': [(lambda g, xx1=None:g.call('tinker.search', xx1).with_('type', 'VertexProperty').element())], 
    'g_V_callXdcX': [(lambda g:g.V().as_('v').call('tinker.degree.centrality').project('vertex', 'degree').by(__.select('v')).by())], 
    'g_V_whereXcallXdcXX': [(lambda g:g.V().where(__.call('tinker.degree.centrality').is_(3)))], 
    'g_V_callXdcX_withXdirection_OUTX': [(lambda g:g.V().as_('v').call('tinker.degree.centrality').with_('direction', Direction.OUT).project('vertex', 'degree').by(__.select('v')).by())], 
    'g_V_callXdc_mapX_withXdirection_OUTX': [(lambda g, xx1=None:g.V().as_('v').call('tinker.degree.centrality', xx1).with_('direction', Direction.OUT).project('vertex', 'degree').by(__.select('v')).by())], 
    'g_V_callXdc_traversalX': [(lambda g:g.V().as_('v').call('tinker.degree.centrality', __.project('direction').by(__.constant(Direction.OUT))).project('vertex', 'degree').by(__.select('v')).by())], 
    'g_V_callXdc_map_traversalX': [(lambda g, xx1=None:g.V().as_('v').call('tinker.degree.centrality', xx1, __.project('direction').by(__.constant(Direction.OUT))).project('vertex', 'degree').by(__.select('v')).by())], 
    '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')).values('name'))], 
    'g_VX1X_coalesceXoutXcreatedX_outXknowsXX_valuesXnameX': [(lambda g, vid1=None:g.V(vid1).coalesce(__.out('created'), __.out('knows')).values('name'))], 
    '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(__.values('name'), __.constant('x')))], 
    'g_injectXnullX_combineXinjectX1XX': [(lambda g:g.inject(None).combine(__.inject(1)))], 
    'g_V_valuesXnameX_combineXV_foldX': [(lambda g:g.V().values('name').combine(__.V().fold()))], 
    'g_V_fold_combineXconstantXnullXX': [(lambda g:g.V().fold().combine(__.constant(None)))], 
    'g_V_fold_combineXVX': [(lambda g:g.V().fold().combine(__.V()))], 
    'g_V_valuesXnameX_fold_combineX2X': [(lambda g:g.V().values('name').fold().combine(2))], 
    'g_V_valuesXnameX_fold_combineXnullX': [(lambda g:g.V().values('name').fold().combine(None))], 
    'g_V_valuesXnonexistantX_fold_combineXV_valuesXnameX_foldX_unfold': [(lambda g:g.V().values('nonexistant').fold().combine(__.V().values('name').fold()).unfold())], 
    'g_V_valuesXnameX_fold_combineXV_valuesXnonexistantX_foldX_unfold': [(lambda g:g.V().values('name').fold().combine(__.V().values('nonexistant').fold()).unfold())], 
    'g_V_valuesXageX_order_byXdescX_fold_combineXV_valuesXageX_order_byXdescX_foldX': [(lambda g:g.V().values('age').order().by(Order.desc).fold().combine(__.V().values('age').order().by(Order.desc).fold()))], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_combineXMARKOX': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).combine(['MARKO']))], 
    'g_injectXxx1X_combineXV_valuesXnameX_foldX_unfold': [(lambda g:g.inject(['marko']).combine(__.V().values('name').fold()).unfold())], 
    'g_V_valueMapXlocationX_selectXvaluesX_unfold_combineXseattle_vancouverX_orderXlocalX': [(lambda g:g.V().value_map('location').select(Column.values).unfold().combine(['seattle', 'vancouver']).order(Scope.local))], 
    'g_V_out_out_path_byXnameX_combineXempty_listX': [(lambda g:g.V().out().out().path().by('name').combine([]))], 
    'g_V_valuesXageX_order_fold_combineXconstantX27X_foldX': [(lambda g:g.V().values('age').order().fold().combine(__.constant(27).fold()))], 
    'g_V_out_out_path_byXnameX_combineXdave_kelvinX': [(lambda g:g.V().out().out().path().by('name').combine(['dave', 'kelvin']))], 
    'g_injectXa_null_bX_combineXa_cX': [(lambda g:g.inject(['a', None, 'b']).combine(['a', 'c']))], 
    'g_injectXa_null_bX_combineXa_null_cX': [(lambda g:g.inject(['a', None, 'b']).combine(['a', None, 'c']))], 
    'g_injectX3_threeX_combineXfive_three_7X': [(lambda g:g.inject([3, 'three']).combine(['five', 'three', 7]))], 
    'g_injectXa_bX_concat': [(lambda g:g.inject('a', 'b').concat())], 
    'g_injectXa_bX_concat_XcX': [(lambda g:g.inject('a', 'b').concat('c'))], 
    'g_injectXa_bX_concat_Xc_dX': [(lambda g:g.inject('a', 'b').concat('c', 'd'))], 
    'g_injectXa_bX_concat_Xinject_c_dX': [(lambda g:g.inject('a', 'b').concat(__.inject('c')))], 
    'g_injectXaX_concat_Xinject_List_b_cX': [(lambda g:g.inject('a').concat(__.inject(['b', 'c'])))], 
    'g_injectXListXa_bXcX_concat_XdX': [(lambda g:g.inject(['a', 'b'], 'c').concat('d'))], 
    '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_concatXV_values_order_byXnameX_valuesXnameXX': [(lambda g:g.inject('hello', 'hi').concat(__.V().order().by('name').values('name')))], 
    'g_V_hasLabel_value_concat_X_X_concat_XpersonX': [(lambda g:g.V().has_label('person').values('name').concat(' ').concat('person'))], 
    'g_hasLabelXpersonX_valuesXnameX_asXaX_constantXMrX_concatXselectXaX': [(lambda g:g.V().has_label('person').values('name').as_('a').constant('Mr.').concat(__.select('a')))], 
    'g_hasLabelXsoftwareX_asXaX_valuesXnameX_concatXunsesX_concatXselectXaXvaluesXlangX': [(lambda g:g.V().has_label('software').as_('a').values('name').concat(' uses ').concat(__.select('a').values('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).values('name').concat(__.select('a').label()).concat(__.select('a').in_v().values('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).values('name').concat(__.select('a').label(), __.select('a').in_v().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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().values('name').conjoin('1'))], 
    'g_V_valuesXnonexistantX_fold_conjoinX_X': [(lambda g:g.V().values('nonexistant').fold().conjoin(';'))], 
    'g_V_valuesXnameX_order_fold_conjoinX_X': [(lambda g:g.V().values('name').order().fold().conjoin('_'))], 
    'g_V_valuesXageX_order_fold_conjoinX_X': [(lambda g:g.V().values('age').order().fold().conjoin(';'))], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_conjoinXMARKOX': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).conjoin('MARKO'))], 
    'g_injectXmarkoX_conjoinX_X': [(lambda g:g.inject(['marko']).conjoin('-'))], 
    '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:g.inject(['a', None, 'b']).conjoin('xyz'))], 
    'g_injectX3_threeX_conjoinX_X': [(lambda g:g.inject([3, 'three']).conjoin(';'))], 
    '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(__.has_label('person'), __.values('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())], 
    'g_V_fold_countXlocalX': [(lambda g:g.V().fold().count(Scope.local))], 
    'g_V_hasXnoX_count': [(lambda g:g.V().has('no').count())], 
    'g_V_whereXinXkknowsX_outXcreatedX_count_is_0XX_name': [(lambda g:g.V().where(__.in_('knows').out('created').count().is_(0)).values('name'))], 
    'g_V_repeatXoutX_timesX8X_count': [(lambda g:g.V().repeat(__.out()).times(8).count())], 
    'g_V_repeatXoutX_timesX5X_asXaX_outXwrittenByX_asXbX_selectXa_bX_count': [(lambda g:g.V().repeat(__.out()).times(5).as_('a').out('writtenBy').as_('b').select('a', 'b').count())], 
    'g_V_repeatXoutX_timesX3X_count': [(lambda g:g.V().repeat(__.out()).times(3).count())], 
    'g_V_order_byXlangX_count': [(lambda g:g.V().order().by('lang').count())], 
    'g_E_sampleX1X_count': [(lambda g:g.E().sample(1).count())], 
    'g_V_sampleX1X_byXageX_count': [(lambda g:g.V().sample(1).by('age').count())], 
    'g_V_order_byXnoX_count': [(lambda g:g.V().order().by('no').count())], 
    'g_V_group_byXlabelX_count': [(lambda g:g.V().group().by(T.label).count())], 
    'g_V_group_byXlabelX_countXlocalX': [(lambda g:g.V().group().by(T.label).count(Scope.local))], 
    'g_injectXdatetimeXstrXX_dateAddXDT_hour_2X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_add(DT.hour, 2))], 
    'g_injectXdatetimeXstrXX_dateAddXhour_2X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_add(DT.hour, 2))], 
    'g_injectXdatetimeXstrXX_dateAddXhour_1X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_add(DT.hour, -1))], 
    'g_injectXdatetimeXstrXX_dateAddXminute_10X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_add(DT.minute, 10))], 
    'g_injectXdatetimeXstrXX_dateAddXsecond_20X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_add(DT.second, 20))], 
    'g_injectXdatetimeXstrXX_dateAddXday_11X': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-09-06T00:00+00:00'), datetime.datetime.fromisoformat('2023-09-06T00:00+00:00')).date_add(DT.day, 11))], 
    'g_injectXdatetimeXstr1XX_dateDiffXdatetimeXstr2XX': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-02T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-02T00:00+00:00')).date_diff(datetime.datetime.fromisoformat('2023-08-09T00:00+00:00')))], 
    'g_injectXdatetimeXstr1XX_dateDiffXconstantXdatetimeXstr2XXX': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-08T00:00+00:00')).date_diff(__.constant(datetime.datetime.fromisoformat('2023-08-01T00:00+00:00'))))], 
    'g_injectXdatetimeXstr1XX_dateDiffXinjectXdatetimeXstr2XXX': [(lambda g:g.inject(datetime.datetime.fromisoformat('2023-08-08T00:00+00:00'), datetime.datetime.fromisoformat('2023-08-08T00:00+00:00')).date_diff(__.inject(datetime.datetime.fromisoformat('2023-10-11T00:00+00:00'))))], 
    'g_V_valuesXbirthdayX_asDate_dateDiffXdatetimeX19700101T0000ZXX': [(lambda g:g.add_v('person').property('name', 'alice').property('birthday', '1596326400000').add_v('person').property('name', 'john').property('birthday', '597715200000').add_v('person').property('name', 'charlie').property('birthday', '1012521600000').add_v('person').property('name', 'suzy').property('birthday', '-131587200000')), (lambda g:g.V().values('birthday').as_number().as_date().date_diff(datetime.datetime.fromisoformat('1970-01-01T00:00+00:00')))], 
    'g_V_hasXname_aliceX_valuesXbirthdayX_asDate_dateDiffXconstantXnullXX': [(lambda g:g.add_v('person').property('name', 'alice').property('birthday', long(1596326400000))), (lambda g:g.V().has('name', 'alice').values('birthday').as_date().date_diff(__.constant(None)))], 
    'g_injectXnullX_differenceXinjectX1XX': [(lambda g:g.inject(None).difference(__.inject(1)))], 
    'g_V_valuesXnameX_differenceXV_foldX': [(lambda g:g.V().values('name').difference(__.V().fold()))], 
    'g_V_fold_differenceXconstantXnullXX': [(lambda g:g.V().fold().difference(__.constant(None)))], 
    'g_V_fold_differenceXVX': [(lambda g:g.V().fold().difference(__.V()))], 
    'g_V_valuesXnameX_fold_differenceX2X': [(lambda g:g.V().values('name').fold().difference(2))], 
    'g_V_valuesXnameX_fold_differenceXnullX': [(lambda g:g.V().values('name').fold().difference(None))], 
    'g_V_valuesXnonexistantX_fold_differenceXV_valuesXnameX_foldX': [(lambda g:g.V().values('nonexistant').fold().difference(__.V().values('name').fold()))], 
    'g_V_valuesXnameX_fold_differenceXV_valuesXnonexistantX_foldX': [(lambda g:g.V().values('name').fold().difference(__.V().values('nonexistant').fold()))], 
    'g_V_valuesXageX_fold_differenceXV_valuesXageX_foldX': [(lambda g:g.V().values('age').fold().difference(__.V().values('age').fold()))], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_differenceXMARKOX': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).difference(['MARKO']))], 
    'g_injectXmarkoX_differenceXV_valuesXnameX_foldX': [(lambda g:g.inject(['marko']).difference(__.V().values('name').fold()))], 
    'g_V_valueMapXlocationX_selectXvaluesX_unfold_differenceXseattle_vancouverX': [(lambda g:g.V().value_map('location').select(Column.values).unfold().difference(['seattle', 'vancouver']))], 
    'g_V_out_out_path_byXnameX_differenceXrippleX': [(lambda g:g.V().out().out().path().by('name').difference(['ripple']))], 
    'g_V_out_out_path_byXnameX_differenceXempty_listX': [(lambda g:g.V().out().out().path().by('name').difference([]))], 
    'g_V_valuesXageX_fold_differenceXconstantX27X_foldX': [(lambda g:g.V().values('age').fold().difference(__.constant(27).fold()))], 
    'g_V_out_out_path_byXnameX_differenceXdave_kelvinX': [(lambda g:g.V().out().out().path().by('name').difference(['dave', 'kelvin']))], 
    'g_injectXa_null_bX_differenceXa_cX': [(lambda g:g.inject(['a', None, 'b']).difference(['a', 'c']))], 
    'g_injectXa_null_bX_differenceXa_null_cX': [(lambda g:g.inject(['a', None, 'b']).difference(['a', None, 'c']))], 
    'g_injectX3_threeX_differenceXfive_three_7X': [(lambda g:g.inject([3, 'three']).difference(['five', 'three', 7]))], 
    'g_injectXnullX_disjunctXinjectX1XX': [(lambda g:g.inject(None).disjunct(__.inject(1)))], 
    'g_V_valuesXnameX_disjunctXV_foldX': [(lambda g:g.V().values('name').disjunct(__.V().fold()))], 
    'g_V_fold_disjunctXconstantXnullXX': [(lambda g:g.V().fold().disjunct(__.constant(None)))], 
    'g_V_fold_disjunctXVX': [(lambda g:g.V().fold().disjunct(__.V()))], 
    'g_V_valuesXnameX_fold_disjunctX2X': [(lambda g:g.V().values('name').fold().disjunct(2))], 
    'g_V_valuesXnameX_fold_disjunctXnullX': [(lambda g:g.V().values('name').fold().disjunct(None))], 
    'g_V_valuesXnonexistantX_fold_disjunctXV_valuesXnameX_foldX': [(lambda g:g.V().values('nonexistant').fold().disjunct(__.V().values('name').fold()))], 
    'g_V_valuesXnameX_fold_disjunctXV_valuesXnonexistantX_foldX': [(lambda g:g.V().values('name').fold().disjunct(__.V().values('nonexistant').fold()))], 
    'g_V_valuesXageX_fold_disjunctXV_valuesXageX_foldX': [(lambda g:g.V().values('age').fold().disjunct(__.V().values('age').fold()))], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_disjunctXMARKOX': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).disjunct(['MARKO']))], 
    'g_V_valueMapXlocationX_selectXvaluesX_unfold_disjunctXseattle_vancouverX': [(lambda g:g.V().value_map('location').select(Column.values).unfold().disjunct(['seattle', 'vancouver']))], 
    'g_V_out_out_path_byXnameX_disjunctXmarkoX': [(lambda g:g.V().out().out().path().by('name').disjunct(['marko']))], 
    'g_V_out_out_path_byXnameX_disjunctXstephen_markoX': [(lambda g:g.V().out().out().path().by('name').disjunct(['stephen', 'marko']))], 
    'g_V_out_out_path_byXnameX_disjunctXdave_kelvinX': [(lambda g:g.V().out().out().path().by('name').disjunct(['dave', 'kelvin']))], 
    'g_injectXa_null_bX_disjunctXa_cX': [(lambda g:g.inject(['a', None, 'b']).disjunct(['a', 'c']))], 
    'g_injectXa_null_bX_disjunctXa_null_cX': [(lambda g:g.inject(['a', None, 'b']).disjunct(['a', None, 'c']))], 
    'g_injectX3_threeX_disjunctXfive_three_7X': [(lambda g:g.inject([3, 'three']).disjunct(['five', 'three', 7]))], 
    'g_E': [(lambda g:g.E())], 
    'g_EX11X': [(lambda g, eid11=None:g.E(eid11))], 
    'g_EX11AsStringX': [(lambda g, eid11=None:g.E(eid11))], 
    'g_EXe11X': [(lambda g, e11=None:g.E(e11))], 
    'g_EXe7_e11X': [(lambda g, e7=None,e11=None:g.E(e7, e11))], 
    'g_EXlistXe7_e11XX': [(lambda g, xx1=None:g.E(xx1))], 
    '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_V_EX11X': [(lambda g, eid11=None:g.V().E(eid11))], 
    'g_EX11X_E': [(lambda g, eid11=None:g.E(eid11).E())], 
    '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.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_outE_inV': [(lambda g, vid1=None:g.V(vid1).out_e().in_v())], 
    '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', 1.0).out_v())], 
    '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(1.0)).other_v())], 
    'get_g_VX1X_outE_otherV': [(lambda g, vid1=None:g.V(vid1).out_e().other_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_VX1X_outEXknowsX_bothV': [(lambda g, vid1=None:g.V(vid1).out_e('knows').both_v())], 
    'g_VX1X_outEXknowsX_bothV_name': [(lambda g, vid1=None:g.V(vid1).out_e('knows').both_v().values('name'))], 
    'g_VX1X_properties_element': [(lambda g, vid2=None:g.V(vid2).properties().element().limit(1))], 
    'g_V_properties_element': [(lambda g:g.V().properties().element())], 
    'g_V_propertiesXageX_element': [(lambda g:g.V().properties('age').element())], 
    'g_EX_properties_element': [(lambda g, eid11=None:g.E(eid11).properties().element().limit(1))], 
    'g_E_properties_element': [(lambda g:g.E().properties().element())], 
    'g_VXv7_properties_properties_element_element': [(lambda g, vid7=None:g.V(vid7).properties().properties().element().element().limit(1))], 
    'g_V_properties_properties_element_element': [(lambda g, vid7=None:g.V(vid7).properties().properties().element().element())], 
    '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_valuesXnameX_flatMapXsplitXaX_unfoldX': [(lambda g:g.V().values('name').flat_map(__.split('a').unfold()))], 
    'g_V_flatMapXout_outX_path': [(lambda g:g.V().flat_map(__.out().out()).path())], 
    '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().values('age').fold(0, Operator.sum_))], 
    '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(__.values('name')).by(__.values('age')))], 
    'g_V_hasLabelXpersonX_formatXstrX_byXconstantXhelloXX_byXvaluesXnameXX': [(lambda g:g.V().has_label('person').format_('%{_} %{_} %{_}').by(__.constant('hello')).by(__.values('name')))], 
    'g_VX1X_formatXstrX_byXconstantXhelloXX_byXvaluesXnameXX': [(lambda g, vid1=None:g.V(vid1).format_('%{_}').by(__.constant('hello')).by(__.values('name')))], 
    '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(__.values('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').values('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_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_(WithOptions.indexer, WithOptions.map))], 
    'g_V_hasLabelXsoftwareX_name_fold_orderXlocalX_index_unfold_order_byXtailXlocal_1XX': [(lambda g:g.V().has_label('software').values('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').values('name').fold().order(Scope.local).index().with_(WithOptions.indexer, WithOptions.map))], 
    'g_VX1X_valuesXageX_index_unfold_unfold': [(lambda g, vid1=None:g.V(vid1).values('age').index().unfold().unfold())], 
    'g_injectXnullX_intersectXinjectX1XX': [(lambda g:g.inject(None).intersect(__.inject(1)))], 
    'g_V_valuesXnameX_intersectXV_foldX': [(lambda g:g.V().values('name').intersect(__.V().fold()))], 
    'g_V_fold_intersectXconstantXnullXX': [(lambda g:g.V().fold().intersect(__.constant(None)))], 
    'g_V_fold_intersectXVX': [(lambda g:g.V().fold().intersect(__.V()))], 
    'g_V_valuesXnameX_fold_intersectX2X': [(lambda g:g.V().values('name').fold().intersect(2))], 
    'g_V_valuesXnameX_fold_intersectXnullX': [(lambda g:g.V().values('name').fold().intersect(None))], 
    'g_V_valuesXnonexistantX_fold_intersectXV_valuesXnameX_foldX': [(lambda g:g.V().values('nonexistant').fold().intersect(__.V().values('name').fold()))], 
    'g_V_valuesXnameX_fold_intersectXV_valuesXnonexistantX_foldX': [(lambda g:g.V().values('name').fold().intersect(__.V().values('nonexistant').fold()))], 
    'g_V_valuesXageX_fold_intersectXV_valuesXageX_foldX_order_local': [(lambda g:g.V().values('age').fold().intersect(__.V().values('age').fold()).order(Scope.local))], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_intersectXMARKOX': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).intersect(['MARKO']))], 
    'g_injectXmarkoX_intersectX___V_valuesXnameX_foldX': [(lambda g:g.inject(['marko']).intersect(__.V().values('name').fold()))], 
    'g_V_valueMapXlocationX_selectXvaluesX_unfold_intersectXseattle_vancouverX': [(lambda g:g.V().value_map('location').select(Column.values).unfold().intersect(['seattle', 'vancouver']))], 
    'g_V_valuesXageX_fold_intersectX___constantX27X_foldX': [(lambda g:g.V().values('age').fold().intersect(__.constant(27).fold()))], 
    'g_V_out_out_path_byXnameX_intersectXdave_kelvinX': [(lambda g:g.V().out().out().path().by('name').intersect(['dave', 'kelvin']))], 
    'g_injectXa_null_bX_intersectXa_cX': [(lambda g:g.inject(['a', None, 'b']).intersect(['a', 'c']))], 
    'g_injectXa_null_bX_intersectXa_null_cX': [(lambda g:g.inject(['a', None, 'b']).intersect(['a', None, 'c']))], 
    'g_injectX3_threeX_intersectXfive_three_7X': [(lambda g:g.inject([3, 'three']).intersect(['five', 'three', 7]))], 
    '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:g.inject(['a', 'b']).l_trim())], 
    'g_injectXListX1_2XX_lTrimXlocalX': [(lambda g:g.inject([1, 2]).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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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:g.inject(['a', 'b']).length())], 
    'g_V_valuesXnameX_length': [(lambda g:g.V().values('name').length())], 
    'g_V_valuesXnameX_order_fold_lengthXlocalX': [(lambda g:g.V().values('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().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()).values('name'))], 
    'g_VX1X_mapXvaluesXnameXX': [(lambda g, vid1=None:g.V(vid1).map(__.values('name')))], 
    'g_VX1X_outE_label_mapXlengthX': [(lambda g, vid1=None:g.V(vid1).out_e().label().map(__.length()))], 
    'g_VX1X_out_mapXvaluesXnameXX_mapXlengthX': [(lambda g, vid1=None:g.V(vid1).out().map(__.values('name')).map(__.length()))], 
    'g_withPath_V_asXaX_out_mapXselectXaX_valuesXnameXX': [(lambda g:g.with_path().V().as_('a').out().map(__.select('a').values('name')))], 
    'g_withPath_V_asXaX_out_out_asXbX_mapXselectXaX_valuesXnameX_concatXselectXbX_valuesXnameXXX': [(lambda g:g.with_path().V().as_('a').out().out().as_('b').map(__.select('a').values('name').concat(__.select('b').values('name'))))], 
    '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().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')))], 
    'g_V_matchXb_created_c__a_knows_bX': [(lambda g:g.V().match(__.as_('b').out('created').as_('c'), __.as_('a').out('knows').as_('b')))], 
    'g_V_matchXa_created_b__b_0created_cX_whereXa_neq_cX_selectXa_cX': [(lambda g:g.V().match(__.as_('a').out('created').as_('b'), __.as_('b').in_('created').as_('c')).where('a', P.neq('c')).select('a', 'c'))], 
    'g_V_matchXd_0knows_a__d_hasXname_vadasX__a_knows_b__b_created_cX': [(lambda g:g.V().match(__.as_('d').in_('knows').as_('a'), __.as_('d').has('name', 'vadas'), __.as_('a').out('knows').as_('b'), __.as_('b').out('created').as_('c')))], 
    'g_V_matchXa_created_lop_b__b_0created_29_c__c_whereXrepeatXoutX_timesX2XXX': [(lambda g:g.V().match(__.as_('a').out('created').has('name', 'lop').as_('b'), __.as_('b').in_('created').has('age', 29).as_('c'), __.as_('c').where(__.repeat(__.out()).times(2))))], 
    'g_V_asXaX_out_asXbX_matchXa_out_count_c__b_in_count_cX': [(lambda g:g.V().as_('a').out().as_('b').match(__.as_('a').out().count().as_('c'), __.as_('b').in_().count().as_('c')))], 
    'g_V_matchXa__a_out_b__notXa_created_bXX': [(lambda g:g.V().match(__.as_('a').out().as_('b'), __.not_(__.as_('a').out('created').as_('b'))))], 
    'g_V_matchXa_created_lop_b__b_0created_29_cX_whereXc_repeatXoutX_timesX2XX_selectXa_b_cX': [(lambda g:g.V().match(__.as_('a').out('created').has('name', 'lop').as_('b'), __.as_('b').in_('created').has('age', 29).as_('c')).where(__.as_('c').repeat(__.out()).times(2)).select('a', 'b', 'c'))], 
    'g_V_out_out_matchXa_0created_b__b_0knows_cX_selectXcX_outXcreatedX_name': [(lambda g:g.V().out().out().match(__.as_('a').in_('created').as_('b'), __.as_('b').in_('knows').as_('c')).select('c').out('created').values('name'))], 
    'g_V_matchXa_knows_b__b_created_c__a_created_cX_dedupXa_b_cX_selectXaX_byXnameX': [(lambda g:g.V().match(__.as_('a').out('knows').as_('b'), __.as_('b').out('created').as_('c'), __.as_('a').out('created').as_('c')).dedup('a', 'b', 'c').select('a').by('name'))], 
    'g_V_matchXa_created_b__a_repeatXoutX_timesX2XX_selectXa_bX': [(lambda g:g.V().match(__.as_('a').out('created').as_('b'), __.as_('a').repeat(__.out()).times(2).as_('b')).select('a', 'b'))], 
    'g_V_notXmatchXa_age_b__a_name_cX_whereXb_eqXcXX_selectXaXX_name': [(lambda g:g.V().not_(__.match(__.as_('a').values('age').as_('b'), __.as_('a').values('name').as_('c')).where('b', P.eq('c')).select('a')).values('name'))], 
    'g_V_matchXa_knows_b__andXa_created_c__b_created_c__andXb_created_count_d__a_knows_count_dXXX': [(lambda g:g.V().match(__.as_('a').out('knows').as_('b'), __.and_(__.as_('a').out('created').as_('c'), __.as_('b').out('created').as_('c'), __.and_(__.as_('b').out('created').count().as_('d'), __.as_('a').out('knows').count().as_('d')))))], 
    'g_V_matchXa_whereXa_neqXcXX__a_created_b__orXa_knows_vadas__a_0knows_and_a_hasXlabel_personXX__b_0created_c__b_0created_count_isXgtX1XXX_selectXa_b_cX_byXidX': [(lambda g:g.V().match(__.where('a', P.neq('c')), __.as_('a').out('created').as_('b'), __.or_(__.as_('a').out('knows').has('name', 'vadas'), __.as_('a').in_('knows').and_().as_('a').has(T.label, 'person')), __.as_('b').in_('created').as_('c'), __.as_('b').in_('created').count().is_(P.gt(1))).select('a', 'b', 'c').by(T.id_))], 
    'g_V_matchXa__a_both_b__b_both_cX_dedupXa_bX': [(lambda g:g.V().match(__.as_('a').both().as_('b'), __.as_('b').both().as_('c')).dedup('a', 'b'))], 
    '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').out_e('created').order().by('weight', Order.desc).limit(1).in_v().as_('b'), __.as_('b').has('lang', 'java')).select('a', 'b').by('name'))], 
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    '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')))], 
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    'g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonCreate_created_YX_optionXonMatch_created_NX_exists_updated': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2).option(Merge.on_match, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'N'))], 
    'g_V_hasXperson_name_marko_X_mergeEXlabel_knowsX_optionXonCreate_created_YX_optionXonMatch_created_NX_exists_updated': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('created', 'Y').add_e('knows').from_('a').to('b')), (lambda g, xx1=None,xx3=None,xx2=None:g.V().has('person', 'name', 'marko').merge_e(xx1).option(Merge.on_create, xx2).option(Merge.on_match, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'N'))], 
    'g_withSideEffectXlabel_knows_out_marko_in_vadasX_injectX1X_selectXmX_mergeE': [(lambda g:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g:g.inject(1).select('m').merge_e()), (lambda g:g.V().has('person', 'name', 'marko').out('knows').has('person', 'name', 'vadas'))], 
    'g_mergeEXlabel_knows_in_vadasX_optionXonCreate_created_YX_optionXonMatch_created_NX_exists_updated': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('created', 'Y').add_e('knows').from_('b').to('a').property('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2).option(Merge.on_match, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'N').in_v().has('name', 'vadas'))], 
    'g_mergeEXlabel_knows_out_vadasX_optionXonCreate_created_YX_optionXonMatch_created_NX_exists_updated': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('created', 'Y').add_e('knows').from_('b').to('a').property('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2).option(Merge.on_match, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'N').out_v().has('name', 'vadas'))], 
    'g_mergeEXout_vadasX_optionXonCreate_created_YX_optionXonMatch_created_NX_exists_updated': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('created', 'Y').add_e('knows').from_('b').to('a').property('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2).option(Merge.on_match, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None,xx3=None,xx2=None:g.E().has_label('knows').has('created', 'N').out_v().has('name', 'vadas'))], 
    'g_V_hasXperson_name_marko_X_mergeEXlabel_self_out_vadas1_in_vadas1X': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None:g.V().has('person', 'name', 'marko').merge_e(xx1)), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().has_label('self').both_v().has('name', 'vadas'))], 
    'g_withSideEffectXc_created_YX_withSideEffectXm_matchedX_mergeEXlabel_knows_out_marko_in_vadasX_optionXonCreate_selectXcXX_optionXonMatch_selectXmXX_exists': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b')), (lambda g, xx1=None:g.merge_e(xx1).option(Merge.on_create, __.select('c')).option(Merge.on_match, __.select('m'))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'N'))], 
    'g_withSideEffectXc_created_YX_withSideEffectXm_matchedX_mergeEXlabel_knows_out_marko_in_vadasX_optionXonCreate_selectXcXX_optionXonMatch_selectXmXX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b')), (lambda g, xx1=None:g.merge_e(xx1).option(Merge.on_create, __.select('c')).option(Merge.on_match, __.select('m'))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'N'))], 
    'g_withSideEffectXc_created_YX_withSideEffectXm_matchedX_mergeEXlabel_knows_out_marko1_in_vadas1X_optionXonCreate_selectXcXX_optionXonMatch_selectXmXX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b')), (lambda g, xx1=None:g.merge_e(xx1).option(Merge.on_create, __.select('c')).option(Merge.on_match, __.select('m'))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'N'))], 
    'g_mergeEXlabel_knows_out_marko_in_vadasX_aliased_direction': [(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_withSideEffectXm1_label_knows_out_marko_in_vadas_m2_label_self_out_vadas_in_vadasX_unionXselectXm1X_selectXm2XX_mergeE': [(lambda g:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g:g.union(__.select('m1'), __.select('m2')).merge_e()), (lambda g:g.V()), (lambda g:g.E()), (lambda g:g.V().has('person', 'name', 'marko').out('knows').has('person', 'name', 'vadas')), (lambda g:g.V().has('person', 'name', 'vadas').out('self').has('person', 'name', 'vadas'))], 
    'g_withSideEffectXc_created_YX_withSideEffectXm_matchedX_mergeEXlabel_knows_out_marko_in_vadasX_optionXonCreate_selectXcXX_optionXonMatch_sideEffectXpropertiesXweightX_dropX_selectXmXX_exists': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').property('weight', 1.0).from_('a').to('b')), (lambda g, xx1=None:g.merge_e(xx1).option(Merge.on_create, __.select('c')).option(Merge.on_match, __.side_effect(__.properties('weight').drop()).select('m'))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'Y')), (lambda g, xx1=None:g.E().has_label('knows').has('created', 'N')), (lambda g, xx1=None:g.E().has_label('knows').has('weight'))], 
    'g_mergeE_with_outVinV_options_map': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_e(xx1).option(Merge.out_v, xx2).option(Merge.in_v, xx3)), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_inline_with_outVinV_options_map': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e({ Direction.OUT: Merge.out_v, Direction.IN: Merge.in_v, T.label: 'knows' }).option(Merge.out_v, xx1).option(Merge.in_v, xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_with_outVinV_options_select': [(lambda g, xx1=None,vid2=None,vid1=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,vid2=None,vid1=None:g.V(vid1).as_('x').V(vid2).as_('y').merge_e(xx1).option(Merge.out_v, __.select('x')).option(Merge.in_v, __.select('y'))), (lambda g, xx1=None,vid2=None,vid1=None:g.V()), (lambda g, xx1=None,vid2=None,vid1=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_inline_with_outVinV_options_select': [(lambda g, vid2=None,vid1=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, vid2=None,vid1=None:g.V(vid1).as_('x').V(vid2).as_('y').merge_e({ Direction.OUT: Merge.out_v, Direction.IN: Merge.in_v, T.label: 'knows' }).option(Merge.out_v, __.select('x')).option(Merge.in_v, __.select('y'))), (lambda g, vid2=None,vid1=None:g.V()), (lambda g, vid2=None,vid1=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_with_eid_specified_and_inheritance_1': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.E()), (lambda g, xx1=None,xx2=None:g.E('201')), (lambda g, xx1=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_with_eid_specified_and_inheritance_2': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.E()), (lambda g, xx1=None,xx2=None:g.E('201')), (lambda g, xx1=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeE_outV_override_prohibited': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2))], 
    'g_mergeE_inV_override_prohibited': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2))], 
    'g_mergeE_label_override_prohibited': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2))], 
    'g_mergeE_id_override_prohibited': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_create, xx2))], 
    'g_mergeV_mergeE_combination_new_vertices': [(lambda g, xx1=None,xx3=None,xx2=None:g.merge_v(xx1).as_('outV').merge_v(xx2).as_('inV').merge_e(xx3).option(Merge.out_v, __.select('outV')).option(Merge.in_v, __.select('inV'))), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_mergeV_mergeE_combination_existing_vertices': [(lambda g, xx1=None,xx3=None,xx2=None:g.add_v('person').property('name', 'marko').add_v('person').property('name', 'vadas')), (lambda g, xx1=None,xx3=None,xx2=None:g.merge_v(xx1).as_('outV').merge_v(xx2).as_('inV').merge_e(xx3).option(Merge.out_v, __.select('outV')).option(Merge.in_v, __.select('inV'))), (lambda g, xx1=None,xx3=None,xx2=None:g.V()), (lambda g, xx1=None,xx3=None,xx2=None:g.E()), (lambda g, xx1=None,xx3=None,xx2=None:g.V().has('name', 'marko').out('knows').has('name', 'vadas'))], 
    'g_V_asXvX_mergeEXxx1X_optionXMerge_onMatch_xx2X_optionXMerge_outV_selectXvXX_optionXMerge_inV_selectXvXX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g, xx1=None,xx2=None:g.V().as_('v').merge_e(xx1).option(Merge.on_match, xx2).option(Merge.out_v, __.select('v')).option(Merge.in_v, __.select('v')))], 
    'g_V_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_sideEffectXpropertyXweight_0XX_constantXemptyXX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').property('weight', 1).from_('a').to('b')), (lambda g, xx1=None:g.V().merge_e(xx1).option(Merge.on_match, __.side_effect(__.property('weight', 0)).constant({  }))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E()), (lambda g, xx1=None:g.E().has_label('knows').has('weight', 0))], 
    'g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_sideEffectXpropertyXweight_0XX_constantXemptyXX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').property('weight', 1).from_('a').to('b')), (lambda g, xx1=None:g.merge_e(xx1).option(Merge.on_match, __.side_effect(__.property('weight', 0)).constant({  }))), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.E().has_label('knows').has('weight', 1)), (lambda g, xx1=None:g.E().has_label('knows').has('weight', 0)), (lambda g, xx1=None:g.V().has('weight'))], 
    'g_unionXselectXmapX_selectXmapX_constantXcreated_NXX_fold_asXmX_mergeEXselectXmX_limitXlocal_1X_unfoldX_optionXonCreate_selectXmX_rangeXlocal_1_2X_unfoldX_optionXonMatch_selectXmX_tailXlocalX_unfoldX_to_match': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.union(__.select('map'), __.select('map'), __.constant({ 'created': 'N' })).fold().as_('m').merge_e(__.select('m').limit(Scope.local, 1).unfold()).option(Merge.on_create, __.select('m').range_(Scope.local, 1, 2).unfold()).option(Merge.on_match, __.select('m').tail(Scope.local).unfold())), (lambda g:g.V()), (lambda g:g.E()), (lambda g:g.E().has('created', 'N')), (lambda g:g.V().has('person', 'name', 'marko').out_e('knows').has('created', 'N').in_v().has('person', 'name', 'vadas'))], 
    'g_unionXselectXmapX_selectXmapX_constantXcreated_NXX_fold_asXmX_mergeEXselectXmX_limitXlocal_1X_unfoldX_optionXonCreate_selectXmX_rangeXlocal_1_2X_unfoldX_optionXonMatch_selectXmX_tailXlocalX_unfoldX_to_create': [(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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.union(__.select('map'), __.select('map'), __.constant({ 'created': 'N' })).fold().as_('m').merge_e(__.select('m').limit(Scope.local, 1).unfold()).option(Merge.on_create, __.select('m').range_(Scope.local, 1, 2).unfold()).option(Merge.on_match, __.select('m').tail(Scope.local).unfold())), (lambda g:g.V()), (lambda g:g.E()), (lambda g:g.E().has_not('created')), (lambda g:g.V().has('person', 'name', 'marko').out_e('knows').has_not('created').in_v().has('person', 'name', 'vadas')), (lambda g:g.V().has('person', 'name', 'vadas').out_e('self').has_not('weight').in_v().has('person', 'name', 'vadas'))], 
    'g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_weight_nullX_allowed': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('weight', 1.0)), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_match, xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.E().has_label('knows')), (lambda g, xx1=None,xx2=None:g.E().has_label('knows').has('weight', None))], 
    'g_mergeEXlabel_knows_out_marko_in_vadasX_optionXonMatch_weight_nullX': [(lambda g, xx1=None,xx2=None:g.add_v('person').property('name', 'marko').as_('a').add_v('person').property('name', 'vadas').as_('b').add_e('knows').from_('a').to('b').property('weight', 1.0)), (lambda g, xx1=None,xx2=None:g.merge_e(xx1).option(Merge.on_match, xx2)), (lambda g, xx1=None,xx2=None:g.V()), (lambda g, xx1=None,xx2=None:g.E().has_label('knows')), (lambda g, xx1=None,xx2=None:g.E().has_label('knows').has('weight'))], 
    'g_mergeVXemptyX_optionXonMatch_nullX': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.merge_v({  }).option(Merge.on_match, None)), (lambda g:g.V().has('person', 'name', 'marko').has('age', 29))], 
    'g_V_mergeVXemptyX_optionXonMatch_nullX': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.V().merge_v({  }).option(Merge.on_match, None)), (lambda g:g.V().has('person', 'name', 'marko').has('age', 29))], 
    'g_mergeVXnullX_optionXonCreate_label_null_name_markoX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g, xx1=None:g.merge_v(xx1))], 
    'g_V_mergeVXnullX_optionXonCreate_label_null_name_markoX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g, xx1=None:g.V().merge_v(xx1))], 
    'g_mergeVXlabel_person_name_stephenX_optionXonCreate_nullX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g, xx1=None:g.merge_v(xx1).option(Merge.on_create, None)), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.V().has('person', 'name', 'marko')), (lambda g, xx1=None:g.V().has('person', 'name', 'stephen'))], 
    'g_V_mergeVXlabel_person_name_stephenX_optionXonCreate_nullX': [(lambda g, xx1=None:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g, xx1=None:g.V().merge_v(xx1).option(Merge.on_create, None)), (lambda g, xx1=None:g.V()), (lambda g, xx1=None:g.V().has('person', 'name', 'marko')), (lambda g, xx1=None:g.V().has('person', 'name', 'stephen'))], 
    'g_mergeVXnullX_optionXonCreate_emptyX': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.merge_v(None).option(Merge.on_create, {  })), (lambda g:g.V())], 
    'g_V_mergeVXnullX_optionXonCreate_emptyX': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.V().merge_v(None).option(Merge.on_create, {  })), (lambda g:g.V())], 
    'g_mergeVXemptyX_no_existing': [(lambda g:g.merge_v({  })), (lambda g:g.V())], 
    'g_injectX0X_mergeVXemptyX_no_existing': [(lambda g:g.inject(0).merge_v({  })), (lambda g:g.V())], 
    '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_mergeVXnullvarX': [(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())], 
    '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:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.merge_v(__.select('c')).option(Merge.on_create, __.select('m'))), (lambda g:g.V().has('person', 'name', 'stephen').has('age', 19))], 
    'g_withSideEffectXc_label_person_name_markoX_withSideEffectXm_age_19X_mergeVXselectXcXX_optionXonMatch_selectXmXX_option': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.merge_v(__.select('c')).option(Merge.on_match, __.select('m'))), (lambda g: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:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject(0).merge_v(__.select('c')).option(Merge.on_create, __.select('m'))), (lambda g: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:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject(0).merge_v(__.select('c')).option(Merge.on_match, __.select('m'))), (lambda g: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:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject({ T.label: 'person', 'name': 'marko' }, { T.label: 'person', 'name': 'stephen' }).merge_v(__.identity())), (lambda g:g.V().has('person', 'name', 'stephen')), (lambda g:g.V().has('person', 'name', 'marko')), (lambda g:g.V())], 
    'g_injectXlabel_person_name_marko_label_person_name_stephenX_mergeV': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject({ T.label: 'person', 'name': 'marko' }, { T.label: 'person', 'name': 'stephen' }).merge_v()), (lambda g:g.V().has('person', 'name', 'stephen')), (lambda g:g.V().has('person', 'name', 'marko')), (lambda g: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: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(__.select('c')).option(Merge.on_match, __.side_effect(__.properties('age').drop()).select('m'))), (lambda g:g.V().has('person', 'name', 'marko').has('age', 19)), (lambda g:g.V().has('person', 'name', 'marko').has('age'))], 
    'g_withSideEffectXm_age_19X_V_hasXperson_name_markoX_mergeVXselectXcXX_optionXonMatch_sideEffectXpropertiesXageX_dropX_selectXmXX_option': [(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.V().has('person', 'name', 'marko').merge_v({  }).option(Merge.on_match, __.side_effect(__.properties('age').drop()).select('m'))), (lambda g:g.V().has('person', 'name', 'marko').has('age', 19)), (lambda g:g.V().has('person', 'name', 'marko').properties('age'))], 
    '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))], 
    'g_mergeV_id_override_prohibited': [(lambda g, xx1=None,xx2=None:g.merge_v(xx1).option(Merge.on_create, xx2))], 
    'g_mergeV_hidden_id_key_prohibited': [(lambda g, xx1=None:g.merge_v(xx1))], 
    'g_mergeV_hidden_label_key_prohibited': [(lambda g, xx1=None:g.merge_v(xx1))], 
    'g_mergeV_hidden_label_value_prohibited': [(lambda g, xx1=None:g.merge_v(xx1))], 
    '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.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'))], 
    'g_mergeVXname_aliceX_optionXonCreate_age_81_setX': [(lambda g:g.merge_v({ 'name': 'alice', T.label: 'person' }).option(Merge.on_create, { 'age': 81 }, Cardinality.set_)), (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_81_label_person_setX': [(lambda g:g.merge_v({ 'name': 'alice' }).option(Merge.on_create, { 'age': 81, T.label: 'person' }, Cardinality.set_)), (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_mergeV_hidden_label_key_onMatch_matched_prohibited': [(lambda g, xx1=None:g.merge_v({  }).option(Merge.on_match, xx1))], 
    'g_injectXlist1_list2_list3X_fold_asXmX_mergeVXselectXmX_limitXlocal_1X_unfoldX_optionXonCreate_selectXmX_rangeXlocal_1_2X_unfoldX_optionXonMatch_selectXmX_tailXlocalX_unfoldX_to_match': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject({ T.label: 'person', 'name': 'marko' }, { T.label: 'person', 'name': 'marko' }, { 'created': 'N' }).fold().as_('m').merge_v(__.select('m').limit(Scope.local, 1).unfold()).option(Merge.on_create, __.select('m').range_(Scope.local, 1, 2).unfold()).option(Merge.on_match, __.select('m').tail(Scope.local).unfold())), (lambda g:g.V().has('person', 'name', 'marko').has('created', 'N')), (lambda g:g.V())], 
    'g_injectXlist1_list2_list3X_fold_asXmX_mergeVXselectXmX_limitXlocal_1X_unfoldX_optionXonCreate_selectXmX_rangeXlocal_1_2X_unfoldX_optionXonMatch_selectXmX_tailXlocalX_unfoldX_to_create': [(lambda g:g.add_v('person').property('name', 'marko').property('age', 29)), (lambda g:g.inject({ T.label: 'person', 'name': 'stephen' }, { T.label: 'person', 'name': 'stephen' }, { 'created': 'N' }).fold().as_('m').merge_v(__.select('m').limit(Scope.local, 1).unfold()).option(Merge.on_create, __.select('m').range_(Scope.local, 1, 2).unfold()).option(Merge.on_match, __.select('m').tail(Scope.local).unfold())), (lambda g:g.V().has('person', 'name', 'stephen').has_not('created')), (lambda g:g.V())], 
    'g_V_age_min': [(lambda g:g.V().values('age').min_())], 
    'g_V_foo_min': [(lambda g:g.V().values('foo').min_())], 
    'g_V_name_min': [(lambda g:g.V().values('name').min_())], 
    'g_V_age_fold_minXlocalX': [(lambda g:g.V().values('age').fold().min_(Scope.local))], 
    'g_V_aggregateXaX_byXageX_capXaX_minXlocalX': [(lambda g:g.V().aggregate('a').by('age').cap('a').min_(Scope.local))], 
    'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXageX_capXaX_minXlocalX': [(lambda g:g.with_strategies(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.with_strategies(ProductiveByStrategy()).V().aggregate('a').by('age').cap('a').unfold().min_())], 
    'g_V_aggregateXaX_byXfooX_capXaX_minXlocalX': [(lambda g:g.V().aggregate('a').by('foo').cap('a').min_(Scope.local))], 
    'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_capXaX_minXlocalX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().aggregate('a').by('foo').cap('a').min_(Scope.local))], 
    'g_V_aggregateXaX_byXfooX_capXaX_unfold_min': [(lambda g:g.V().aggregate('a').by('foo').cap('a').unfold().min_())], 
    'g_withStrategiesXProductiveByStrategyX_V_aggregateXaX_byXfooX_capXaX_unfold_min': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().aggregate('a').by('foo').cap('a').unfold().min_())], 
    'g_V_foo_fold_minXlocalX': [(lambda g:g.V().values('foo').fold().min_(Scope.local))], 
    'g_V_name_fold_minXlocalX': [(lambda g:g.V().values('name').fold().min_(Scope.local))], 
    'g_V_repeatXbothX_timesX5X_age_min': [(lambda g:g.V().repeat(__.both()).times(5).values('age').min_())], 
    'g_V_hasLabelXsoftwareX_group_byXnameX_byXbothE_weight_minX': [(lambda g:g.V().has_label('software').group().by('name').by(__.both_e().values('weight').min_()))], 
    'g_V_foo_injectX9999999999X_min': [(lambda g:g.V().values('foo').inject(long(9999999999)).min_())], 
    'g_VX1X_valuesXageX_minXlocalX': [(lambda g, vid1=None:g.V(vid1).values('age').min_(Scope.local))], 
    'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_minXlocalX': [(lambda g:g.V().local(__.union(__.values('age'), __.out_e().values('weight')).fold()).min_(Scope.local))], 
    'g_V_name_order': [(lambda g:g.V().values('name').order())], 
    'g_V_order_byXname_ascX_name': [(lambda g:g.V().order().by('name', Order.asc).values('name'))], 
    'g_V_order_byXnameX_name': [(lambda g:g.V().order().by('name').values('name'))], 
    'g_V_outE_order_byXweight_descX_weight': [(lambda g:g.V().out_e().order().by('weight', Order.desc).values('weight'))], 
    '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().has_label('person').order().by('age', Order.desc).limit(5).values('name'))], 
    'g_V_properties_order_byXkey_descX_key': [(lambda g:g.V().properties().order().by(T.key, Order.desc).key())], 
    'g_V_hasLabelXpersonX_group_byXnameX_byXoutE_weight_sumX_orderXlocalX_byXvaluesX': [(lambda g:g.V().has_label('person').group().by('name').by(__.out_e().values('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().values('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(__.values('name').order().by(Order.desc).fold()))], 
    '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().values('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().values('weight').fold()).sum_(Scope.local).as_('s').select('v', 's').order().by(__.select('s'), Order.desc).by(__.select('v').values('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).values('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_(__.has_label('person'), __.has('software', 'name', 'lop')).order().by('age'))], 
    'g_withStrategiesXProductiveByStrategyX_V_orXhasLabelXpersonX_hasXsoftware_name_lopXX_order_byXageX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().or_(__.has_label('person'), __.has('software', 'name', 'lop')).order().by('age'))], 
    '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().has_label('song').order().by('performances', Order.desc).by('name').range_(110, 120).values('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).values('age').order(Scope.local))], 
    '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').values('name'))], 
    'g_V_pageRank_order_byXpageRank_descX_name_limitX2X': [(lambda g:g.V().page_rank().order().by('gremlin.pageRankVertexProgram.pageRank', Order.desc).values('name').limit(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(__.values('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(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(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).values('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).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.with_strategies(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().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(1.0).with_('~tinkerpop.pageRank.propertyName', 'rank').with_('~tinkerpop.pageRank.edges', __.out_e('knows')).with_('~tinkerpop.pageRank.times', 1).group().by('cluster').by(__.values('rank').sum_()).limit(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().values('name').product(__.V().fold()))], 
    'g_V_fold_productXconstantXnullXX': [(lambda g:g.V().fold().product(__.constant(None)))], 
    'g_V_fold_productXVX': [(lambda g:g.V().fold().product(__.V()))], 
    'g_V_valuesXnameX_fold_productX2X': [(lambda g:g.V().values('name').fold().product(2))], 
    'g_V_valuesXnameX_fold_productXnullX': [(lambda g:g.V().values('name').fold().product(None))], 
    'g_V_valuesXnonexistantX_fold_productXV_valuesXnameX_foldX': [(lambda g:g.V().values('nonexistant').fold().product(__.V().values('name').fold()))], 
    'g_V_valuesXnameX_fold_productXV_valuesXnonexistantX_foldX': [(lambda g:g.V().values('name').fold().product(__.V().values('nonexistant').fold()))], 
    'g_V_valuesXageX_order_byXdescX_limitX3X_fold_productXV_valuesXageX_order_byXascX_limitX2X_foldX_unfold': [(lambda g:g.V().values('age').order().by(Order.desc).limit(3).fold().product(__.V().values('age').order().by(Order.asc).limit(2).fold()).unfold())], 
    'g_V_out_path_byXvaluesXnameX_toUpperX_productXMARKOX_unfold': [(lambda g:g.V().out().path().by(__.values('name').to_upper()).product(['MARKO']).unfold())], 
    'g_injectXmarkoX_productXV_valuesXnameX_order_foldX_unfold': [(lambda g:g.inject(['marko']).product(__.V().values('name').order().fold()).unfold())], 
    'g_V_valueMapXlocationX_selectXvaluesX_unfold_productXdulles_seattle_vancouverX_unfold': [(lambda g:g.V().value_map('location').select(Column.values).unfold().product(['dulles', 'seattle', 'vancouver']).unfold())], 
    'g_V_valuesXageX_order_byXascX_fold_productXconstantX27X_foldX_unfold': [(lambda g:g.V().values('age').order().by(Order.asc).fold().product(__.constant(27).fold()).unfold())], 
    'g_V_out_out_path_byXnameX_productXdave_kelvinX_unfold': [(lambda g:g.V().out().out().path().by('name').product(['dave', 'kelvin']).unfold())], 
    'g_injectXa_null_bX_productXa_cX_unfold': [(lambda g:g.inject(['a', None, 'b']).product(['a', 'c']).unfold())], 
    'g_injectXa_null_bX_productXa_null_cX_unfold': [(lambda g:g.inject(['a', None, 'b']).product(['a', None, 'c']).unfold())], 
    'g_injectX3_threeX_productXfive_three_7X_unfold': [(lambda g:g.inject([3, 'three']).product(['five', 'three', 7]).unfold())], 
    '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().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(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　', '　　').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:g.inject(['a', 'b']).r_trim())], 
    'g_injectXListX1_2XX_rTrimXlocalX': [(lambda g:g.inject([1, 2]).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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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:g.inject(['a', 'b']).replace('a', 'b'))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_replaceXnull_iX': [(lambda g:g.V().has_label('software').values('name').replace(None, 'g'))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_replaceXa_iX': [(lambda g:g.V().has_label('software').values('name').replace('p', 'g'))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_replaceXloacl_a_iX': [(lambda g:g.V().has_label('software').values('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().values('name').reverse())], 
    'g_V_valuesXageX_reverse': [(lambda g:g.V().values('age').reverse())], 
    'g_V_out_path_byXnameX_reverse': [(lambda g:g.V().out().path().by('name').reverse())], 
    'g_V_out_out_path_byXnameX_reverse': [(lambda g:g.V().out().out().path().by('name').reverse())], 
    'g_V_valuesXageX_fold_orderXlocalX_byXdescX_reverse': [(lambda g:g.V().values('age').fold().order(Scope.local).by(Order.desc).reverse())], 
    'g_V_valuesXnameX_fold_orderXlocalX_by_reverse': [(lambda g:g.V().values('name').fold().order(Scope.local).by().reverse())], 
    'g_injectXnullX_reverse': [(lambda g:g.inject(None).reverse())], 
    'g_injectXbX_reverse': [(lambda g:g.inject('b').reverse())], 
    'g_injectX3_threeX_reverse': [(lambda g:g.inject([3, 'three']).reverse())], 
    'g_VX1X_asXaX_outXknowsX_asXbX_selectXa_bX': [(lambda g, vid1=None:g.V(vid1).as_('a').out('knows').as_('b').select('a', 'b'))], 
    'g_VX1X_asXaX_outXknowsX_asXbX_selectXa_bX_byXnameX': [(lambda g, vid1=None:g.V(vid1).as_('a').out('knows').as_('b').select('a', 'b').by('name'))], 
    'g_VX1X_asXaX_outXknowsX_asXbX_selectXaX': [(lambda g, vid1=None:g.V(vid1).as_('a').out('knows').as_('b').select('a'))], 
    'g_VX1X_asXaX_outXknowsX_asXbX_selectXaX_byXnameX': [(lambda g, vid1=None:g.V(vid1).as_('a').out('knows').as_('b').select('a').by('name'))], 
    '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').values('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').in_e('uses').order().by('skill', Order.asc).as_('a').out_v().as_('b').select('a', 'b').by('skill').by('name'))], 
    'g_V_whereX_valueXnameX_isXmarkoXX_asXaX_selectXaX': [(lambda g:g.V().where(__.values('name').is_('marko')).as_('a').select('a'))], 
    '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(__.values('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').values('name'))], 
    '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', 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', 1.0).as_('fake').in_v().has('name', 'josh').select('here'))], 
    'g_V_asXhereXout_name_selectXhereX': [(lambda g:g.V().as_('here').out().values('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')).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).values('name')))], 
    'g_V_outE_weight_groupCount_selectXkeysX_unfold': [(lambda g:g.V().out_e().values('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').values('name').fold().order(Scope.local)))], 
    'g_V_outE_weight_groupCount_unfold_selectXkeysX_unfold': [(lambda g:g.V().out_e().values('weight').group_count().unfold().select(Column.keys).unfold())], 
    'g_V_outE_weight_groupCount_unfold_selectXvaluesX_unfold': [(lambda g:g.V().out_e().values('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().out_e().values('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).out_e('knows').as_('here').has('weight', 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().out_e().values('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('_+_')))], 
    'g_V_asXaX_outXknowsX_asXaX_selectXall_constantXaXX': [(lambda g:g.V().as_('a').out('knows').as_('a').select(Pop.all_, __.constant('a')))], 
    'g_V_selectXaX': [(lambda g:g.V().select('a'))], 
    'g_V_selectXaX_count': [(lambda g:g.V().select('a').count())], 
    'g_V_selectXa_bX': [(lambda g:g.V().select('a', 'b'))], 
    'g_V_valueMap_selectXaX': [(lambda g:g.V().value_map().select('a'))], 
    'g_V_valueMap_selectXa_bX': [(lambda g:g.V().value_map().select('a', 'b'))], 
    'g_V_selectXfirst_aX': [(lambda g:g.V().select(Pop.first, 'a'))], 
    'g_V_selectXfirst_a_bX': [(lambda g:g.V().select(Pop.first, 'a', 'b'))], 
    'g_V_valueMap_selectXfirst_aX': [(lambda g:g.V().value_map().select(Pop.first, 'a'))], 
    'g_V_valueMap_selectXfirst_a_bX': [(lambda g:g.V().value_map().select(Pop.first, 'a', 'b'))], 
    'g_V_selectXlast_aX': [(lambda g:g.V().select(Pop.last, 'a'))], 
    'g_V_selectXlast_a_bX': [(lambda g:g.V().select(Pop.last, 'a', 'b'))], 
    'g_V_valueMap_selectXlast_aX': [(lambda g:g.V().value_map().select(Pop.last, 'a'))], 
    'g_V_valueMap_selectXlast_a_bX': [(lambda g:g.V().value_map().select(Pop.last, 'a', 'b'))], 
    'g_V_selectXall_aX': [(lambda g:g.V().select(Pop.all_, 'a'))], 
    'g_V_selectXall_a_bX': [(lambda g:g.V().select(Pop.all_, 'a', 'b'))], 
    'g_V_valueMap_selectXall_aX': [(lambda g:g.V().value_map().select(Pop.all_, 'a'))], 
    'g_V_valueMap_selectXall_a_bX': [(lambda g:g.V().value_map().select(Pop.all_, 'a', 'b'))], 
    'g_V_asXa_bX_out_asXcX_path_selectXkeysX': [(lambda g:g.V().as_('a', 'b').out().as_('c').path().select(Column.keys)), (lambda g:g.V().as_('a', 'b').out().as_('c').path().select(Column.keys))], 
    'g_V_hasXperson_name_markoX_barrier_asXaX_outXknows_selectXaX': [(lambda g:g.V().has('person', 'name', 'marko').barrier().as_('a').out('knows').select('a'))], 
    'g_V_hasXperson_name_markoX_elementMapXnameX_asXaX_unionXidentity_identityX_selectXaX_selectXnameX': [(lambda g:g.V().has('person', 'name', 'marko').element_map('name').as_('a').union(__.identity(), __.identity()).select('a').select('name'))], 
    'g_V_hasXperson_name_markoX_count_asXaX_unionXidentity_identityX_selectXaX': [(lambda g:g.V().has('person', 'name', 'marko').count().as_('a').union(__.identity(), __.identity()).select('a'))], 
    'g_V_hasXperson_name_markoX_path_asXaX_unionXidentity_identityX_selectXaX_unfold': [(lambda g:g.V().has('person', 'name', 'marko').path().as_('a').union(__.identity(), __.identity()).select('a').unfold())], 
    'g_EX11X_propertiesXweightX_asXaX_selectXaX_byXkeyX': [(lambda g, eid11=None:g.E(eid11).properties('weight').as_('a').select('a').by(T.key))], 
    'g_EX11X_propertiesXweightX_asXaX_selectXaX_byXvalueX': [(lambda g, eid11=None:g.E(eid11).properties('weight').as_('a').select('a').by(T.value))], 
    'g_V_asXaX_selectXaX_byXageX': [(lambda g:g.V().as_('a').select('a').by('age'))], 
    'g_V_asXa_nX_selectXa_nX_byXageX_byXnameX': [(lambda g:g.V().as_('a', 'n').select('a', 'n').by('age').by('name'))], 
    'g_withStrategiesXProductiveByStrategyX_V_asXaX_selectXaX_byXageX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().as_('a').select('a').by('age'))], 
    'g_withSideEffectXk_nullX_injectXxX_selectXkX': [(lambda g:g.with_side_effect('k', None).inject('x').select('k'))], 
    'g_V_out_in_selectXall_a_a_aX_byXunfold_name_foldX': [(lambda g:g.add_v('A').property('name', 'a1').as_('a1').add_v('B').property('name', 'b1').as_('b1').add_e('ab').from_('a1').to('b1')), (lambda g:g.V().as_('a').out().as_('a').in_().as_('a').select(Pop.all_, 'a', 'a', 'a').by(__.unfold().values('name').fold()))], 
    'g_V_asXlabelX_localXaggregateXxX_selectXxX_selectXlabelX': [(lambda g:g.V().as_('label').local(__.aggregate('x')).barrier().select('x').select('label'))], 
    'g_V_name_asXaX_selectXfirst_aX': [(lambda g:g.V().values('name').as_('a').select(Pop.first, 'a'))], 
    'g_V_name_asXaX_selectXlast_aX': [(lambda g:g.V().values('name').as_('a').select(Pop.last, 'a'))], 
    'g_V_name_asXaX_selectXmixed_aX': [(lambda g:g.V().values('name').as_('a').select(Pop.mixed, 'a'))], 
    'g_V_name_asXaX_selectXall_aX': [(lambda g:g.V().values('name').as_('a').select(Pop.all_, 'a'))], 
    'g_V_hasLabelXpersonX_name_asXaX_concatXXX_asXaX_length_asXaX_selectXaX': [(lambda g:g.V().has_label('person').values('name').as_('a').concat('X').as_('a').length().as_('a').select('a'))], 
    'g_V_hasLabelXpersonX_name_asXaX_concatXXX_asXaX_length_asXaX_selectXfirst_aX': [(lambda g:g.V().has_label('person').values('name').as_('a').concat('X').as_('a').length().as_('a').select(Pop.first, 'a'))], 
    'g_V_hasLabelXpersonX_name_asXaX_concatXXX_asXaX_length_asXaX_selectXlast_aX': [(lambda g:g.V().has_label('person').values('name').as_('a').concat('X').as_('a').length().as_('a').select(Pop.last, 'a'))], 
    'g_V_hasLabelXpersonX_name_asXaX_concatXXX_asXaX_concatXYZX_asXaX_selectXmixed_aX': [(lambda g:g.V().has_label('person').values('name').as_('a').concat('X').as_('a').concat('YZ').as_('a').select(Pop.mixed, 'a'))], 
    'g_V_hasLabelXpersonX_name_asXaX_concatXXX_asXaX_concatXYZX_asXaX_selectXall_aX': [(lambda g:g.V().has_label('person').values('name').as_('a').concat('X').as_('a').concat('YZ').as_('a').select(Pop.all_, 'a'))], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXmixed_aX_byXunfold_valuesXnameX_foldX': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.mixed, 'a').by(__.unfold().values('name').fold()))], 
    'g_V_asXaX_out_asXaX_out_asXaX_selectXall_aX_byXunfold_valuesXnameX_foldX': [(lambda g:g.V().as_('a').out().as_('a').out().as_('a').select(Pop.all_, 'a').by(__.unfold().values('name').fold()))], 
    'g_V_shortestPath': [(lambda g:g.V().shortest_path())], 
    'g_V_both_dedup_shortestPath': [(lambda g:g.V().both().dedup().shortest_path())], 
    'g_V_shortestPath_edgesIncluded': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.includeEdges'))], 
    'g_V_shortestPath_directionXINX': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.edges', Direction.IN))], 
    'g_V_shortestPath_edgesXoutEX': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.edges', __.out_e()))], 
    'g_V_shortestPath_edgesIncluded_edgesXoutEX': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.includeEdges').with_('~tinkerpop.shortestPath.edges', __.out_e()))], 
    'g_V_hasXname_markoX_shortestPath': [(lambda g:g.V().has('name', 'marko').shortest_path())], 
    'g_V_shortestPath_targetXhasXname_markoXX': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.target', __.has('name', 'marko')))], 
    'g_V_shortestPath_targetXvaluesXnameX_isXmarkoXX': [(lambda g:g.V().shortest_path().with_('~tinkerpop.shortestPath.target', __.values('name').is_('marko')))], 
    'g_V_hasXname_markoX_shortestPath_targetXhasLabelXsoftwareXX': [(lambda g:g.V().has('name', 'marko').shortest_path().with_('~tinkerpop.shortestPath.target', __.has_label('software')))], 
    'g_V_hasXname_markoX_shortestPath_targetXhasXname_joshXX_distanceXweightX': [(lambda g:g.V().has('name', 'marko').shortest_path().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').shortest_path().with_('~tinkerpop.shortestPath.target', __.has('name', 'stephen')).with_('~tinkerpop.shortestPath.edges', __.both_e('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').shortest_path().with_('~tinkerpop.shortestPath.target', __.has('song', 'name', 'MAYBE YOU KNOW HOW I FEEL')).with_('~tinkerpop.shortestPath.edges', __.out_e('followedBy')).with_('~tinkerpop.shortestPath.distance', 'weight'))], 
    'g_V_hasXname_markoX_shortestPath_maxDistanceX1X': [(lambda g:g.V().has('name', 'marko').shortest_path().with_('~tinkerpop.shortestPath.maxDistance', 1))], 
    'g_V_hasXname_vadasX_shortestPath_distanceXweightX_maxDistanceX1_3X': [(lambda g:g.V().has('name', 'vadas').shortest_path().with_('~tinkerpop.shortestPath.distance', 'weight').with_('~tinkerpop.shortestPath.maxDistance', 1.3))], 
    'g_injectXthat_this_testX_spiltXhX': [(lambda g:g.inject('that', 'this', 'test', None).split('h'))], 
    'g_injectXhello_worldX_spiltXnullX': [(lambda g:g.inject('hello world').split(None))], 
    'g_injectXthat_this_test_nullX_splitXemptyX': [(lambda g:g.inject('that', 'this', 'test', None).split(''))], 
    'g_injectXListXa_bXcX_splitXa_bX': [(lambda g:g.inject(['a', 'b']).split('a'))], 
    'g_V_hasLabelXpersonX_valueXnameX_splitXnullX': [(lambda g:g.V().has_label('person').values('name').split(None))], 
    'g_V_hasLabelXpersonX_valueXnameX_order_fold_splitXlocal_aX_unfold': [(lambda g:g.V().has_label('person').values('name').order().fold().split(Scope.local, 'a').unfold())], 
    'g_V_hasLabelXpersonX_valueXnameX_order_fold_splitXlocal_emptyX_unfold': [(lambda g:g.V().has_label('person').values('name').order().fold().split(Scope.local, '').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:g.inject(['aa', 'bb']).substring(1, 2))], 
    'g_V_hasLabelXpersonX_valueXnameX_substringX2X': [(lambda g:g.V().has_label('software').values('name').substring(2))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_4X': [(lambda g:g.V().has_label('software').values('name').substring(1, 4))], 
    'g_V_hasLabelXpersonX_valueXnameX_order_fold_substringXlocal_2X': [(lambda g:g.V().has_label('software').values('name').order().fold().substring(Scope.local, 2))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_order_fold_substringXlocal_1_4X': [(lambda g:g.V().has_label('software').values('name').order().fold().substring(Scope.local, 1, 4))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_0X': [(lambda g:g.V().has_label('software').values('name').substring(1, 0))], 
    'g_V_hasLabelXpersonX_valueXnameX_substringXneg3X': [(lambda g:g.V().has_label('person').values('name').substring(-3))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_substringX1_neg1X': [(lambda g:g.V().has_label('software').values('name').substring(1, -1))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg4_2X': [(lambda g:g.V().has_label('software').values('name').substring(-4, 2))], 
    'g_V_hasLabelXsoftwareX_valueXnameX_substringXneg3_neg1X': [(lambda g:g.V().has_label('software').values('name').substring(-3, -1))], 
    'g_V_injectX127b_1bX_sumXX': [(lambda g:g.inject(127, 1).sum_())], 
    'g_V_injectX_128b__1bX_sumXX': [(lambda g:g.inject(-128, -1).sum_())], 
    'g_V_injectX32767s_1sX_sumXX': [(lambda g:g.inject(32767, 1).sum_())], 
    'g_V_injectX_32768s__1sX_sumXX': [(lambda g:g.inject(-32768, -1).sum_())], 
    'g_V_injectX2147483647i_1iX_sumXX': [(lambda g:g.inject(2147483647, 1).sum_())], 
    'g_V_injectX_2147483648i__1iX_sumXX': [(lambda g:g.inject(-2147483648, -1).sum_())], 
    'g_V_age_sum': [(lambda g:g.V().values('age').sum_())], 
    'g_V_foo_sum': [(lambda g:g.V().values('foo').sum_())], 
    'g_V_age_fold_sumXlocalX': [(lambda g:g.V().values('age').fold().sum_(Scope.local))], 
    'g_V_foo_fold_sumXlocalX': [(lambda g:g.V().values('foo').fold().sum_(Scope.local))], 
    'g_V_hasLabelXsoftwareX_group_byXnameX_byXbothE_weight_sumX': [(lambda g:g.V().has_label('software').group().by('name').by(__.both_e().values('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.with_strategies(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.with_strategies(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.with_strategies(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.with_strategies(ProductiveByStrategy()).V().aggregate('a').by('foo').cap('a').unfold().sum_())], 
    'g_injectXnull_10_5_nullX_sum': [(lambda g:g.inject(None, 10, 5, None).sum_())], 
    'g_injectXlistXnull_10_5_nullXX_sumXlocalX': [(lambda g:g.inject([None, 10, 5, None]).sum_(Scope.local))], 
    'g_VX1X_valuesXageX_sumXlocalX': [(lambda g, vid1=None:g.V(vid1).values('age').sum_(Scope.local))], 
    'g_V_localXunionXvaluesXageX_outE_valuesXweightXX_foldX_sumXlocalX': [(lambda g:g.V().local(__.union(__.values('age'), __.out_e().values('weight')).fold()).sum_(Scope.local))], 
    'g_V_age_injectX1000nX_sum': [(lambda g:g.V().values('age').inject(bigint(1000)).sum_())], 
    'g_injectX1b_2b_3bX_sum': [(lambda g:g.inject(1, 2, 3).sum_())], 
    'g_injectX1b_2b_3sX_sum': [(lambda g:g.inject(1, 2, 3).sum_())], 
    'g_injectX1b_26b_3iX_sum': [(lambda g:g.inject(1, 2, 3).sum_())], 
    'g_injectX1f_26f_3fX_sum': [(lambda g:g.inject(1, 2, 3).sum_())], 
    'g_V_age_injectX1000nX_fold_sumXlocalX': [(lambda g:g.V().values('age').inject(bigint(1000)).fold().sum_(Scope.local))], 
    'g_injectX1b_2b_3bX_fold_sumXlocalX': [(lambda g:g.inject(1, 2, 3).fold().sum_(Scope.local))], 
    'g_injectX1b_2b_3sX_fold_sumXlocalX': [(lambda g:g.inject(1, 2, 3).fold().sum_(Scope.local))], 
    'g_injectX1b_26b_3iX_fold_sumXlocalX': [(lambda g:g.inject(1, 2, 3).fold().sum_(Scope.local))], 
    'g_injectX1f_26f_3fX_fold_sumXlocalX': [(lambda g:g.inject(1, 2, 3).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:g.inject(['FEATURE', 'tESt', None]).to_lower(Scope.local))], 
    'g_injectXListXa_bXX_toLower': [(lambda g:g.inject(['a', 'b']).to_lower())], 
    '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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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:g.inject(['feature', 'tESt', None]).to_upper(Scope.local))], 
    'g_injectXListXa_bXX_toUpper': [(lambda g:g.inject(['a', 'b']).to_upper())], 
    'g_V_valuesXnameX_toUpper': [(lambda g:g.V().values('name').to_upper())], 
    'g_V_valuesXnameX_toUpperXlocalX': [(lambda g:g.V().values('name').to_upper(Scope.local))], 
    'g_V_valuesXnameX_order_fold_toUpperXlocalX': [(lambda g:g.V().values('name').order().fold().to_upper(Scope.local))], 
    'g_injectX__feature___test__nullX_trim': [(lambda g:g.inject('  feature  ', ' one test ', None, '', ' ', '　abc', 'abc　', '　abc　', '　　').trim())], 
    '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:g.inject(['a', 'b']).trim())], 
    'g_injectXListX1_2XX_trimXlocalX': [(lambda g:g.inject([1, 2]).trim(Scope.local))], 
    '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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 0.2)), (lambda g:g.V().values('name').order().fold().trim(Scope.local))], 
    'g_V_localXoutE_foldX_unfold': [(lambda g:g.V().local(__.out_e().fold()).unfold())], 
    'g_V_valueMap_unfold_mapXselectXkeysXX': [(lambda g:g.V().value_map().unfold().map(__.select(Column.keys)))], 
    '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_(WithOptions.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_(WithOptions.tokens))], 
    'g_V_valueMapXname_ageX_withXtokens_labelsX_byXunfoldX': [(lambda g:g.V().value_map('name', 'age').with_(WithOptions.tokens, WithOptions.labels).by(__.unfold()))], 
    'g_V_valueMapXname_ageX_withXtokens_idsX_byXunfoldX': [(lambda g:g.V().value_map('name', 'age').with_(WithOptions.tokens, WithOptions.ids).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_(WithOptions.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))], 
    'g_VXlistX1_2_3XX_name': [(lambda g, xx1=None:g.V(xx1).values('name'))], 
    'g_VXlistXv1_v2_v3XX_name': [(lambda g, xx1=None:g.V(xx1).values('name'))], 
    'g_V': [(lambda g:g.V())], 
    'g_VXv1X_out': [(lambda g, vid1=None:g.V(vid1).out())], 
    'g_VX1X_out': [(lambda g, vid1=None:g.V(vid1).out())], 
    'g_VX2X_in': [(lambda g, vid2=None:g.V(vid2).in_())], 
    'g_VX4X_both': [(lambda g, vid4=None:g.V(vid4).both())], 
    '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_bothEXcreatedvarX': [(lambda g, xx1=None,vid4=None:g.V(vid4).both_e(xx1))], 
    'g_VX4X_bothE': [(lambda g, vid4=None:g.V(vid4).both_e())], 
    'g_V_out_outE_inV_inE_inV_both_name': [(lambda g:g.V().out().out_e().in_v().in_e().in_v().both().values('name'))], 
    'g_VX2X_inE': [(lambda g, vid2=None:g.V(vid2).both_e())], 
    '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_outXknowsvar_createdvarX': [(lambda g, xx3=None,xx2=None,vid1=None:g.V(vid1).out(xx2, xx3))], 
    '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().values('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.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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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').values('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))], 
    'g_VX1X_V_valuesXnameX': [(lambda g, vid1=None:g.V(vid1).V().values('name'))], 
    'g_V_outXknowsX_V_name': [(lambda g:g.V().out('knows').V().values('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')).values('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.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', 0.5).add_e('knows').from_('marko').to('josh').property('weight', 1.0).add_e('created').from_('marko').to('lop').property('weight', 0.4).add_e('created').from_('josh').to('ripple').property('weight', 1.0).add_e('created').from_('josh').to('lop').property('weight', 0.4).add_e('created').from_('peter').to('lop').property('weight', 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'))], 
    'InjectXnullX_eqXnullX': [(lambda g:g.inject(None).is_(P.eq(None)))], 
    'InjectXnullX_neqXnullX': [(lambda g:g.inject(None).is_(P.neq(None)))], 
    'InjectXnullX_ltXnullX': [(lambda g:g.inject(None).is_(P.lt(None)))], 
    'InjectXnullX_lteXnullX': [(lambda g:g.inject(None).is_(P.lte(None)))], 
    'InjectXnullX_gtXnullX': [(lambda g:g.inject(None).is_(P.gt(None)))], 
    'InjectXnullX_gteXnullX': [(lambda g:g.inject(None).is_(P.gte(None)))], 
    'InjectXNaNX_eqXNaNX': [(lambda g:g.inject(float('nan')).is_(P.eq(float('nan'))))], 
    'InjectXNaNX_neqXNaNX': [(lambda g:g.inject(float('nan')).is_(P.neq(float('nan'))))], 
    'InjectXNaNX_ltXNaNX': [(lambda g:g.inject(float('nan')).is_(P.lt(float('nan'))))], 
    'InjectXNaNX_lteXNaNX': [(lambda g:g.inject(float('nan')).is_(P.lte(float('nan'))))], 
    'InjectXNaNX_gtXNaNX': [(lambda g:g.inject(float('nan')).is_(P.gt(float('nan'))))], 
    'InjectXNaNX_gteXNaNX': [(lambda g:g.inject(float('nan')).is_(P.gte(float('nan'))))], 
    'InjectX1dX_eqXNaNX': [(lambda g:g.inject(1.0).is_(P.eq(float('nan'))))], 
    'InjectX1dX_neqXNaNX': [(lambda g:g.inject(1.0).is_(P.neq(float('nan'))))], 
    'InjectX1dX_ltXNaNX': [(lambda g:g.inject(1.0).is_(P.lt(float('nan'))))], 
    'InjectX1dX_lteXNaNX': [(lambda g:g.inject(1.0).is_(P.lte(float('nan'))))], 
    'InjectX1dX_gtXNaNX': [(lambda g:g.inject(1.0).is_(P.gt(float('nan'))))], 
    'InjectX1dX_gteXNaNX': [(lambda g:g.inject(1.0).is_(P.gte(float('nan'))))], 
    'InjectXNaNX_eqXnullX': [(lambda g:g.inject(float('nan')).is_(P.eq(None)))], 
    'InjectXNaNX_neqXnullX': [(lambda g:g.inject(float('nan')).is_(P.neq(None)))], 
    'InjectXNaNX_ltXnullX': [(lambda g:g.inject(float('nan')).is_(P.lt(None)))], 
    'InjectXNaNX_lteXnullX': [(lambda g:g.inject(float('nan')).is_(P.lte(None)))], 
    'InjectXNaNX_gtXnullX': [(lambda g:g.inject(float('nan')).is_(P.gt(None)))], 
    'InjectXNaNX_gteXnullX': [(lambda g:g.inject(float('nan')).is_(P.gte(None)))], 
    'InjectXfooX_eqX1dX': [(lambda g:g.inject('foo').is_(P.eq(1.0)))], 
    'InjectXfooX_neqX1dX': [(lambda g:g.inject('foo').is_(P.neq(1.0)))], 
    'InjectXfooX_ltX1dX': [(lambda g:g.inject('foo').is_(P.lt(1.0)))], 
    'InjectXfooX_lteX1dX': [(lambda g:g.inject('foo').is_(P.lte(1.0)))], 
    'InjectXfooX_gtX1dX': [(lambda g:g.inject('foo').is_(P.gt(1.0)))], 
    'InjectXfooX_gteX1dX': [(lambda g:g.inject('foo').is_(P.gte(1.0)))], 
    'InjectX1dX_eqXfooX': [(lambda g:g.inject(1.0).is_(P.eq('foo')))], 
    'InjectX1dX_neqXfooX': [(lambda g:g.inject(1.0).is_(P.neq('foo')))], 
    'InjectX1dX_ltXfooX': [(lambda g:g.inject(1.0).is_(P.lt('foo')))], 
    'InjectX1dX_lteXfooX': [(lambda g:g.inject(1.0).is_(P.lte('foo')))], 
    'InjectX1dX_gtXfooX': [(lambda g:g.inject(1.0).is_(P.gt('foo')))], 
    'InjectX1dX_gteXfooX': [(lambda g:g.inject(1.0).is_(P.gte('foo')))], 
    'InjectX1dX_andXtrue_trueX': [(lambda g:g.inject(1).and_(__.is_(P.eq(1)), __.is_(P.gt(0))))], 
    'InjectX1dX_isXtrue_trueX': [(lambda g:g.inject(1).is_(P.eq(1).and_(P.gt(0))))], 
    'InjectX1dX_andXtrue_falseX': [(lambda g:g.inject(1).and_(__.is_(P.eq(1)), __.is_(P.lt(0))))], 
    'InjectX1dX_isXtrue_falseX': [(lambda g:g.inject(1).is_(P.eq(1).and_(P.lt(0))))], 
    'InjectX1dX_andXtrue_errorX': [(lambda g:g.inject(1).and_(__.is_(P.eq(1)), __.is_(P.lt(float('nan')))))], 
    'InjectX1dX_isXtrue_errorX': [(lambda g:g.inject(1).is_(P.eq(1).and_(P.lt(float('nan')))))], 
    'InjectX1dX_andXfalse_trueX': [(lambda g:g.inject(1).and_(__.is_(P.neq(1)), __.is_(P.gt(0))))], 
    'InjectX1dX_isXfalse_trueX': [(lambda g:g.inject(1).is_(P.neq(1).and_(P.gt(0))))], 
    'InjectX1dX_andXfalse_falseX': [(lambda g:g.inject(1).and_(__.is_(P.neq(1)), __.is_(P.lt(0))))], 
    'InjectX1dX_isXfalse_falseX': [(lambda g:g.inject(1).is_(P.neq(1).and_(P.lt(0))))], 
    'InjectX1dX_andXfalse_errorX': [(lambda g:g.inject(1).and_(__.is_(P.neq(1)), __.is_(P.lt(float('nan')))))], 
    'InjectX1dX_isXfalse_errorX': [(lambda g:g.inject(1).is_(P.neq(1).and_(P.lt(float('nan')))))], 
    'InjectX1dX_andXerror_trueX': [(lambda g:g.inject(1).and_(__.is_(P.lt(float('nan'))), __.is_(P.gt(0))))], 
    'InjectX1dX_isXerror_trueX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).and_(P.gt(0))))], 
    'InjectX1dX_andXerror_falseX': [(lambda g:g.inject(1).and_(__.is_(P.lt(float('nan'))), __.is_(P.gt(2))))], 
    'InjectX1dX_isXerror_falseX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).and_(P.gt(2))))], 
    'InjectX1dX_andXerror_errorX': [(lambda g:g.inject(1).and_(__.is_(P.lt(float('nan'))), __.is_(P.gt(float('nan')))))], 
    'InjectX1dX_isXerror_errorX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).and_(P.gt(float('nan')))))], 
    'InjectX1dX_orXtrue_trueX': [(lambda g:g.inject(1).or_(__.is_(P.eq(1)), __.is_(P.gt(0))))], 
    'InjectX1dX_isXtrue_or_trueX': [(lambda g:g.inject(1).is_(P.eq(1).or_(P.gt(0))))], 
    'InjectX1dX_orXtrue_falseX': [(lambda g:g.inject(1).or_(__.is_(P.eq(1)), __.is_(P.lt(0))))], 
    'InjectX1dX_isXtrue_or_falseX': [(lambda g:g.inject(1).is_(P.eq(1).or_(P.lt(0))))], 
    'InjectX1dX_orXtrue_errorX': [(lambda g:g.inject(1).or_(__.is_(P.eq(1)), __.is_(P.lt(float('nan')))))], 
    'InjectX1dX_isXtrue_or_errorX': [(lambda g:g.inject(1).is_(P.eq(1).or_(P.lt(float('nan')))))], 
    'InjectX1dX_orXfalse_trueX': [(lambda g:g.inject(1).or_(__.is_(P.neq(1)), __.is_(P.gt(0))))], 
    'InjectX1dX_isXfalse_or_trueX': [(lambda g:g.inject(1).is_(P.neq(1).or_(P.gt(0))))], 
    'InjectX1dX_orXfalse_falseX': [(lambda g:g.inject(1).or_(__.is_(P.neq(1)), __.is_(P.lt(0))))], 
    'InjectX1dX_isXfalse_or_falseX': [(lambda g:g.inject(1).is_(P.neq(1).or_(P.lt(0))))], 
    'InjectX1dX_orXfalse_errorX': [(lambda g:g.inject(1).or_(__.is_(P.neq(1)), __.is_(P.lt(float('nan')))))], 
    'InjectX1dX_isXfalse_or_errorX': [(lambda g:g.inject(1).is_(P.neq(1).or_(P.lt(float('nan')))))], 
    'InjectX1dX_orXerror_trueX': [(lambda g:g.inject(1).or_(__.is_(P.lt(float('nan'))), __.is_(P.gt(0))))], 
    'InjectX1dX_isXerror_or_trueX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).or_(P.gt(0))))], 
    'InjectX1dX_orXerror_falseX': [(lambda g:g.inject(1).or_(__.is_(P.lt(float('nan'))), __.is_(P.gt(2))))], 
    'InjectX1dX_isXerror_or_falseX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).or_(P.gt(2))))], 
    'InjectX1dX_orXerror_errorX': [(lambda g:g.inject(1).or_(__.is_(P.lt(float('nan'))), __.is_(P.gt(float('nan')))))], 
    'InjectX1dX_isXerror_or_errorX': [(lambda g:g.inject(1).is_(P.lt(float('nan')).or_(P.gt(float('nan')))))], 
    'InjectX1dX_notXtrueX': [(lambda g:g.inject(1).not_(__.is_(P.gt(0))))], 
    'InjectX1dX_notXfalseX': [(lambda g:g.inject(1).not_(__.is_(P.lt(0))))], 
    'InjectX1dX_notXNaNX': [(lambda g:g.inject(1).not_(__.is_(P.gt(float('nan')))))], 
    'InjectX1dX_notXisXeqXNaNXXX': [(lambda g:g.inject(1).not_(__.is_(P.eq(float('nan')))))], 
    'InjectXInfX_eqXInfX': [(lambda g:g.inject(float('inf')).is_(P.eq(float('inf'))))], 
    'InjectXInfX_neqXInfX': [(lambda g:g.inject(float('inf')).is_(P.neq(float('inf'))))], 
    'InjectXNegInfX_eqXNegInfX': [(lambda g:g.inject(float('-inf')).is_(P.eq(float('-inf'))))], 
    'InjectXNegInfX_neqXNegInfX': [(lambda g:g.inject(float('-inf')).is_(P.neq(float('-inf'))))], 
    'InjectXInfX_gtXNegInfX': [(lambda g:g.inject(float('inf')).is_(P.gt(float('-inf'))))], 
    'InjectXInfX_ltXNegInfX': [(lambda g:g.inject(float('inf')).is_(P.lt(float('-inf'))))], 
    'InjectXNegInfX_ltXInfX': [(lambda g:g.inject(float('-inf')).is_(P.lt(float('inf'))))], 
    'InjectXNegInfX_gtXInfX': [(lambda g:g.inject(float('-inf')).is_(P.gt(float('inf'))))], 
    'Primitives_Number_eqXbyteX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXshortX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXintX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXlongX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXbigintX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXfloatX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXdoubleX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'Primitives_Number_eqXbigdecimalX': [(lambda g, xx1=None:g.inject([1, 1, 1, long(1), 1, 1, 1000, bigdecimal(1), bigint(1)]).unfold().where(__.is_(xx1)))], 
    'g_V_values_order': [(lambda g:g.V().values().order())], 
    'g_V_properties_order': [(lambda g:g.V().properties().order())], 
    'g_V_properties_order_id': [(lambda g:g.V().properties().order().id_())], 
    'g_E_properties_order_value': [(lambda g:g.add_v('person').property('name', 'alice').as_('a').add_e('self').from_('a').to('a').property('weight', 0.5).property('a', 10).add_e('self').from_('a').to('a').property('weight', 1.0).property('a', 11).add_e('self').from_('a').to('a').property('weight', 0.4).property('a', 12).add_e('self').from_('a').to('a').property('weight', 1.0).property('a', 13).add_e('self').from_('a').to('a').property('weight', 0.4).property('a', 14).add_e('self').from_('a').to('a').property('weight', 0.2).property('a', 15)), (lambda g:g.E().properties().order().value())], 
    'g_E_properties_order_byXdescX_value': [(lambda g:g.add_v('person').property('name', 'alice').as_('a').add_e('self').from_('a').to('a').property('weight', 0.5).property('a', 10).add_e('self').from_('a').to('a').property('weight', 1.0).property('a', 11).add_e('self').from_('a').to('a').property('weight', 0.4).property('a', 12).add_e('self').from_('a').to('a').property('weight', 1.0).property('a', 13).add_e('self').from_('a').to('a').property('weight', 0.4).property('a', 14).add_e('self').from_('a').to('a').property('weight', 0.2).property('a', 15)), (lambda g:g.E().properties().order().by(Order.desc).value())], 
    'g_inject_order': [(lambda g:g.inject('zzz', 'foo', ['a', 'b', 'c', 'd'], 1, ['a', 'b', 'c'], { 'a': 'a', 'b': 'b' }, None, 2.0, { 'a': 'a', 'b': False, 'c': 'c' }, 'bar', True, False, float('inf'), float('nan'), float('-inf')).order())], 
    'g_inject_order_byXdescX': [(lambda g:g.inject('zzz', 'foo', ['a', 'b', 'c', 'd'], 1, ['a', 'b', 'c'], { 'a': 'a', 'b': 'b' }, None, 2.0, { 'a': 'a', 'b': False, 'c': 'c' }, 'bar', True, False, float('inf'), float('nan'), float('-inf')).order().by(Order.desc))], 
    'g_V_out_out_order_byXascX': [(lambda g:g.V().out().out().order().by(Order.asc))], 
    '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().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'))], 
    'g_V_out_out_values_asXheadX_path_order_byXdescX_selectXheadX': [(lambda g:g.V().out().out().values().as_('head').path().order().by(Order.desc).select('head'))], 
    'g_V_valueXnameX_aggregateXxX_capXxX': [(lambda g:g.V().values('name').aggregate('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().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_localXaggregateXxX_byXageXX_capXxX': [(lambda g:g.V().local(__.aggregate('x').by('age')).cap('x'))], 
    'g_withStrategiesXProductiveByStrategyX_V_localXaggregateXxX_byXageXX_capXxX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().local(__.aggregate('x').by('age')).cap('x'))], 
    'g_V_localX_aggregateXa_byXnameXX_out_capXaX': [(lambda g:g.V().local(__.aggregate('a').by('name')).out().cap('a'))], 
    'g_VX1X_localXaggregateXaX_byXnameXX_out_localXaggregateXaX_byXnameXX_name_capXaX': [(lambda g, vid1=None:g.V(vid1).local(__.aggregate('a').by('name')).out().local(__.aggregate('a').by('name')).values('name').cap('a'))], 
    'g_withSideEffectXa_setX_V_both_name_localXaggregateX_aXX_capXaX': [(lambda g:g.V().both().values('name').local(__.aggregate('a')).cap('a'))], 
    'g_withSideEffectXa_set_inlineX_V_both_name_localXaggregateXaXX_capXaX': [(lambda g:g.with_side_effect('a', {'alice'}).V().both().values('name').local(__.aggregate('a')).cap('a'))], 
    'g_V_localXaggregateXaX_byXoutEXcreatedX_countXX_out_out_localXaggregateXaX_byXinEXcreatedX_weight_sumXX_capXaX': [(lambda g:g.V().local(__.aggregate('a').by(__.out_e('created').count())).out().out().local(__.aggregate('a').by(__.in_e('created').values('weight').sum_())).cap('a'))], 
    'g_V_aggregateXxX_byXvaluesXageX_isXgtX29XXX_capXxX': [(lambda g:g.V().aggregate('x').by(__.values('age').is_(P.gt(29))).cap('x'))], 
    'g_withStrategiesXProductiveByStrategyX_V_aggregateXxX_byXvaluesXageX_isXgtX29XXX_capXxX': [(lambda g:g.with_strategies(ProductiveByStrategy()).V().aggregate('x').by(__.values('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.with_strategies(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().values('name'))], 
    '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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 1, Operator.sum_).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 123, Operator.minus).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 2, Operator.mult).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 876960, Operator.div).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 1, Operator.min_).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 100, Operator.min_).V().local(__.aggregate('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_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', 1, Operator.max_).V().local(__.aggregate('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_localXaggregateX_aX_byXageX_capXaX': [(lambda g:g.with_side_effect('a', 100, Operator.max_).V().local(__.aggregate('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_localXaggregateX_aXX_capXaX': [(lambda g:g.with_side_effect('a', True, Operator.and_).V().constant(False).local(__.aggregate('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_localXaggregateX_aXX_capXaX': [(lambda g:g.with_side_effect('a', True, Operator.or_).V().constant(False).local(__.aggregate('a')).cap('a'))], 
    'g_withSideEffectXa_1_2_3_addAllX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a', [1, 2, 3], Operator.add_all).V().aggregate('a').by('age').cap('a'))], 
    'g_withSideEffectXa_1_2_3_addAllX_V_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', [1, 2, 3], Operator.add_all).V().local(__.aggregate('a').by('age')).cap('a'))], 
    'g_withSideEffectXa_1_2_3_assignX_V_aggregateXaX_byXageX_capXaX': [(lambda g:g.with_side_effect('a', [1, 2, 3], Operator.assign).V().aggregate('a').by('age').cap('a'))], 
    'g_withSideEffectXa_1_2_3_assignX_V_order_byXageX_localXaggregateX_aX_byXageXX_capXaX': [(lambda g:g.with_side_effect('a', [1, 2, 3], Operator.assign).V().order().by('age').local(__.aggregate('a').by('age')).cap('a'))], 
    'g_V_localXaggregateXa_nameXX_out_capXaX': [(lambda g:g.V().local(__.aggregate('a').by('name')).out().cap('a'))], 
    'g_withSideEffectXa_setX_V_both_name_localXaggregateXaXX_capXaX': [(lambda g:g.V().both().values('name').local(__.aggregate('a')).cap('a'))], 
    'g_V_localXaggregateXaXX_outE_inV_localXaggregateXaXX_capXaX_unfold_dedup': [(lambda g:g.V().local(__.aggregate('a')).out_e().in_v().local(__.aggregate('a')).cap('a').unfold().dedup())], 
    'g_V_hasLabelXpersonX_localXaggregateXaXX_outXcreatedX_localXaggregateXaXX_capXaX': [(lambda g:g.V().has_label('person').local(__.aggregate('a')).out('created').local(__.aggregate('a')).cap('a'))], 
    'g_V_localXaggregateXaXX_repeatXout_localXaggregateXaXXX_timesX2X_capXaX_unfold_groupCount': [(lambda g:g.V().local(__.aggregate('a')).repeat(__.out().local(__.aggregate('a'))).times(2).cap('a').unfold().values('name').group_count())], 
    'g_V_hasXname_markoX_localXaggregateXaXX_outXknowsX_localXaggregateXaXX_outXcreatedX_localXaggregateXaXX_capXaX': [(lambda g:g.V().has('name', 'marko').local(__.aggregate('a')).out('knows').local(__.aggregate('a')).out('created').local(__.aggregate('a')).cap('a'))], 
    'g_V_hasLabelXsoftwareX_localXaggregateXaXX_inXcreatedX_localXaggregateXaXX_outXknowsX_localXaggregateXaXX_capXaX': [(lambda g:g.V().has_label('software').local(__.aggregate('a')).in_('created').local(__.aggregate('a')).out('knows').local(__.aggregate('a')).cap('a'))], 
    'g_V_localXaggregateXaXX_outE_hasXweight_lgtX0_5XX_inV_localXaggregateXaXX_capXaX_unfold_path': [(lambda g:g.V().local(__.aggregate('a')).out_e().has('weight', P.gt(0.5)).in_v().local(__.aggregate('a')).cap('a').unfold().path())], 
    'g_V_localXaggregateXaXX_bothE_sampleX1X_otherV_localXaggregateXaXX_capXaX_unfold_groupCount_byXlabelX': [(lambda g:g.V().local(__.aggregate('a')).both_e().sample(1).other_v().local(__.aggregate('a')).cap('a').unfold().group_count().by(T.label))], 
    'g_V_hasLabelXpersonX_localXaggregateXaXX_outE_inV_simplePath_localXaggregateXaXX_capXaX_unfold_hasLabelXsoftwareX_count': [(lambda g:g.V().has_label('person').local(__.aggregate('a')).out_e().in_v().simple_path().local(__.aggregate('a')).cap('a').unfold().has_label('software').count())], 
    'g_V_localXaggregateXaXX_unionXout_inX_localXaggregateXaXX_capXaX_unfold_dedup_valuesXnameX': [(lambda g:g.V().local(__.aggregate('a')).union(__.out(), __.in_()).local(__.aggregate('a')).cap('a').unfold().dedup().values('name'))], 
    'g_V_hasXname_joshX_localXaggregateXaXX_outE_hasXweight_ltX1_0XX_inV_localXaggregateXaXX_outE_inV_localXaggregateXaXX_capXaX': [(lambda g:g.V().has('name', 'josh').local(__.aggregate('a')).out_e().has('weight', P.lt(1.0)).in_v().local(__.aggregate('a')).out_e().in_v().local(__.aggregate('a')).cap('a'))], 
    'g_V_hasLabelXpersonX_localXaggregateXaXX_outE_order_byXweightX_limitX1X_inV_localXaggregateXaXX_capXaX': [(lambda g:g.V().has_label('person').local(__.aggregate('a')).out_e().order().by('weight').limit(1).in_v().local(__.aggregate('a')).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.with_strategies(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(__.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_byXvaluesXnameX_substringX1XX_byXconstantX1XX': [(lambda g:g.V().group().by(__.values('name').substring(0, 1)).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').values('name').limit(2))], 
    '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(__.values('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(__.values('weight').sum_()).values('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').values('age').sum_()))], 
    'g_V_group_byXlabelX_byXlabel_countX': [(lambda g:g.V().group().by(__.label()).by(__.label().count()))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_group_by_byXout_order_foldX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group().by().by(__.out().order().fold()))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_group_by_byXout_foldX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group().by().by(__.out().fold()))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_group_by_byXout_orderX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group().by().by(__.out().order()))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_group_by_byXout_order_countX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group().by().by(__.out().order().count()))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_group_by_byXout_order_fold_countXlocalXX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group().by().by(__.out().order().fold().count(Scope.local)))], 
    'g_V_group_by_byXout_label_foldX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group().by().by(__.out().label().fold()).select(Column.values).unfold().order(Scope.local))], 
    'g_V_group_by_byXout_label_dedup_foldX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group().by().by(__.out().label().dedup().fold()).select(Column.values).unfold().order(Scope.local))], 
    'g_V_group_by_byXout_label_limitX0X_foldX_selectXvaluesX_unfold': [(lambda g:g.V().group().by().by(__.out().label().limit(0).fold()).select(Column.values).unfold())], 
    'g_V_group_by_byXout_label_limitX10X_foldX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group().by().by(__.out().label().limit(10).fold()).select(Column.values).unfold().order(Scope.local))], 
    'g_V_group_by_byXout_label_tailX10X_foldX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group().by().by(__.out().label().tail(10).fold()).select(Column.values).unfold().order(Scope.local))], 
    'g_V_groupXaX_byXnameX_by_selectXaX_countXlocalX': [(lambda g:g.V().group('a').by('name').by().select('a').count(Scope.local))], 
    'g_V_localXgroupXaX_byXnameX_by_selectXaX_countXlocalXX': [(lambda g:g.V().local(__.group('a').by('name').by().select('a').count(Scope.local)))], 
    'g_V_group_byXvaluesXnameXX_byXboth_countX': [(lambda g:g.V().group().by(__.values('name')).by(__.both().count()))], 
    '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(ProductiveByStrategy()).V().group_count().by('age'))], 
    'g_V_outXcreatedX_name_groupCount': [(lambda g:g.V().out('created').values('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').values('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').values('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_localXgroupCountXaXX_out_capXaX_selectXkeysX_unfold_both_localXgroupCountXaXX_capXaX': [(lambda g:g.V().both().local(__.group_count('a')).out().cap('a').select(Column.keys).unfold().both().local(__.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(__.values('name').fold()))], 
    'g_V_outXcreatedX_groupCount_byXnameX_byXageX': [(lambda g:g.V().out('created').group_count().by('name').by('age'))], 
    'g_V_outXcreatedX_groupCountXxX_byXnameX_byXageX': [(lambda g:g.V().out('created').group_count('x').by('name').by('age'))], 
    'g_V_groupCountXaX_selectXaX_countXlocalX': [(lambda g:g.V().group_count('a').select('a').count(Scope.local))], 
    'g_V_localXgroupCountXaX_selectXaX_countXlocalXX': [(lambda g:g.V().local(__.group_count('a').select('a').count(Scope.local)))], 
    'g_VX1X_out_name_injectXdanielX_asXaX_mapXlengthX_path': [(lambda g, vid1=None:g.V(vid1).out().values('name').inject('daniel').as_('a').map(__.length()).path())], 
    '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).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:g.inject({ 'name': 'marko', 'age': None }).select('name', 'age'))], 
    'g_injectXnull_nullX': [(lambda g:g.inject(None, None))], 
    'g_injectXnullX': [(lambda g:g.inject(None))], 
    'g_inject': [(lambda g:g.inject())], 
    'g_VX1X_valuesXageX_injectXnull_nullX': [(lambda g, xx1=None:g.V(xx1).values('age').inject(None, None))], 
    'g_VX1X_valuesXageX_injectXnullX': [(lambda g, xx1=None:g.V(xx1).values('age').inject(None))], 
    'g_VX1X_valuesXageX_inject': [(lambda g, xx1=None:g.V(xx1).values('age').inject())], 
    'g_injectXnull_1_3_nullX_asXaX_selectXaX': [(lambda g:g.inject(None, 1, 3, None).as_('a').select('a'))], 
    'g_injectX1_3X_injectX100_300X': [(lambda g:g.inject(1, 3).inject(100, 300))], 
    'g_injectX1_3_100_300X_list': [(lambda g:g.inject([1, 3, 100, 300]))], 
    'g_injectX1_3_100_300X_set': [(lambda g:g.inject({1, 3, 100, 300}))], 
    'g_injectX1_1X_set': [(lambda g:g.inject({1, 1}))], 
    'g_io_readXkryoX': [(lambda g:g.io('data/tinkerpop-modern.kryo').read()), (lambda g:g.V()), (lambda g:g.E())], 
    'g_io_read_withXreader_gryoX': [(lambda g:g.io('data/tinkerpop-modern.kryo').with_(IO.reader, IO.gryo).read()), (lambda g:g.V()), (lambda g:g.E())], 
    'g_io_readXgraphsonX': [(lambda g:g.io('data/tinkerpop-modern.json').read()), (lambda g:g.V()), (lambda g:g.E())], 
    'g_io_read_withXreader_graphsonX': [(lambda g:g.io('data/tinkerpop-modern.json').with_(IO.reader, IO.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_(IO.reader, IO.graphml).read()), (lambda g:g.V()), (lambda g:g.E())], 
    'g_withSackX127bX_injectX1bX_sackXsumX_sack': [(lambda g:g.with_sack(127).inject(1).sack(Operator.sum_).sack())], 
    'g_withSackX32767sX_injectX1sX_sackXsumX_sack': [(lambda g:g.with_sack(32767).inject(1).sack(Operator.sum_).sack())], 
    'g_withSackX2147483647iX_injectX1iX_sackXsumX_sack': [(lambda g:g.with_sack(2147483647).inject(1).sack(Operator.sum_).sack())], 
    'g_withSackX1_7976931348623157E_308dX_injectX1_7976931348623157E_308dX_sackXsumX_sack': [(lambda g:g.with_sack(1.7976931348623157e+308).inject(1.7976931348623157e+308).sack(Operator.sum_).sack())], 
    'g_withSackX_128bX_injectX1bX_sackXminusX_sack': [(lambda g:g.with_sack(-128).inject(1).sack(Operator.minus).sack())], 
    'g_withSackX_32768sX_injectX1sX_sackXminusX_sack': [(lambda g:g.with_sack(-32768).inject(1).sack(Operator.minus).sack())], 
    'g_withSackX_2147483648iX_injectX1iX_sackXminusX_sack': [(lambda g:g.with_sack(-2147483648).inject(1).sack(Operator.minus).sack())], 
    'g_withSackX_1_7976931348623157E_308dX_injectX1_7976931348623157E_308dX_sackXminusX_sack': [(lambda g:g.with_sack(-1.7976931348623157e+308).inject(1.7976931348623157e+308).sack(Operator.minus).sack())], 
    'g_withSackX127bX_injectX2bX_sackXmultX_sack': [(lambda g:g.with_sack(127).inject(2).sack(Operator.mult).sack())], 
    'g_withSackX32767sX_injectX2sX_sackXmultX_sack': [(lambda g:g.with_sack(32767).inject(2).sack(Operator.mult).sack())], 
    'g_withSackX2147483647iX_injectX2iX_sackXmultX_sack': [(lambda g:g.with_sack(2147483647).inject(2).sack(Operator.mult).sack())], 
    'g_withSackX1_7976931348623157E_308dX_injectX2dX_sackXmultX_sack': [(lambda g:g.with_sack(1.7976931348623157e+308).inject(2).sack(Operator.mult).sack())], 
    'g_withSackX127bX_injectX0_5fX_sackXdivX_sack': [(lambda g:g.with_sack(127).inject(0.5).sack(Operator.div).sack())], 
    'g_withSackX32767sX_injectX0_5fX_sackXdivX_sack': [(lambda g:g.with_sack(32767).inject(0.5).sack(Operator.div).sack())], 
    'g_withSackX2147483647iX_injectX0_5fX_sackXdivX_sack': [(lambda g:g.with_sack(2147483647).inject(0.5).sack(Operator.div).sack())], 
    'g_withSackX1_7976931348623157E_308dX_injectX0_5dX_sackXdivX_sack': [(lambda g:g.with_sack(1.7976931348623157e+308).inject(0.5).sack(Operator.div).sack())], 
    'g_withSackX_128bX_injectX_1bX_sackXdivX_sack': [(lambda g:g.with_sack(-128).inject(-1).sack(Operator.div).sack())], 
    'g_withSackX_32768sX_injectX_1sX_sackXdivX_sack': [(lambda g:g.with_sack(-32768).inject(-1).sack(Operator.div).sack())], 
    'g_withSackX_2147483648iX_injectX_1iX_sackXdivX_sack': [(lambda g:g.with_sack(-2147483648).inject(-1).sack(Operator.div).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(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(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(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(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_withSackXBigInteger_TEN_powX1000X_assignX_V_localXoutXknowsX_barrierXnormSackXX_inXknowsX_barrier_sack': [(lambda g:g.with_sack(bigint(10000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000000), Operator.assign).V().local(__.out('knows').barrier(Barrier.norm_sack)).in_('knows').barrier().sack())], 
    'g_withSackX2X_V_sackXdivX_byXconstantX4_0XX_sack': [(lambda g:g.with_sack(2).V().sack(Operator.div).by(__.constant(4.0)).sack())], 
    'g_V_sackXassignX_byXageX_byXnameX_sack': [(lambda g:g.V().sack(Operator.assign).by('age').by('name').sack())], 
    'g_V_sideEffectXidentityX': [(lambda g:g.V().side_effect(__.identity()))], 
    'g_V_sideEffectXidentity_valuesXnameXX': [(lambda g:g.V().side_effect(__.identity().values('name')))], 
    'g_V_sideEffectXpropertyXage_22X': [(lambda g:g.add_v('person').property('age', 21)), (lambda g:g.V().side_effect(__.property('age', 22))), (lambda g:g.V().has('age', 21)), (lambda g:g.V().has('age', 22))], 
    'g_V_group_byXvaluesXnameX_sideEffectXconstantXzyxXX_substringX1XX_byXconstantX1X_sideEffectXconstantXxyzXXX': [(lambda g:g.V().group().by(__.values('name').side_effect(__.constant('zyx')).substring(0, 1)).by(__.constant(1).side_effect(__.constant('xyz'))))], 
    'g_withSideEffectXx_setX_V_both_both_sideEffectXlocalXaggregateXxX_byXnameXX_capXxX_unfold': [(lambda g:g.with_side_effect('x', set()).V().both().both().side_effect(__.local(__.aggregate('x').by('name'))).cap('x').unfold())], 
    '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(__.out_e().values('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_byXvaluesXnameX_substringX1XX_byXconstantX1XX_capXaX': [(lambda g:g.V().group('a').by(__.values('name').substring(0, 1)).by(__.constant(1)).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').values('age').sum_()).cap('a'))], 
    'g_V_groupXmX_byXnameX_byXinXknowsX_nameX_capXmX': [(lambda g:g.V().group('m').by('name').by(__.in_('knows').values('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_chooseXlabel_person__age_groupCountXaX__name_groupCountXbXX_capXa_bX_unfold': [(lambda g:g.V().choose(__.has(T.label, 'person'), __.values('age').group_count('a'), __.values('name').group_count('b')).cap('a', 'b').unfold())], 
    'g_V_hasXperson_name_withinXvadas_peterXX_groupXaX_by_byXout_orderX_capXaX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group('a').by().by(__.out().order()).cap('a'))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_groupXaX_by_byXout_order_countX_capXaX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group('a').by().by(__.out().order().count()).cap('a'))], 
    'g_V_hasXperson_name_withinXvadas_peterXX_groupXaX_by_byXout_order_fold_countXlocalXX_capXaX': [(lambda g:g.V().has('person', 'name', P.within('vadas', 'peter')).group('a').by().by(__.out().order().fold().count(Scope.local)).cap('a'))], 
    'g_V_groupXaX_by_byXout_label_foldX_capXaX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group('a').by().by(__.out().label().fold()).cap('a').select(Column.values).unfold().order(Scope.local))], 
    'g_V_groupXaX_by_byXout_label_dedup_foldX_capXaX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group('a').by().by(__.out().label().dedup().fold()).cap('a').select(Column.values).unfold().order(Scope.local))], 
    'g_V_groupXaX_by_byXout_label_limitX0X_foldX_capXaX_selectXvaluesX_unfold': [(lambda g:g.V().group('a').by().by(__.out().label().limit(0).fold()).cap('a').select(Column.values).unfold())], 
    'g_V_groupXaX_by_byXout_label_limitX10X_foldX_capXaX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group('a').by().by(__.out().label().limit(10).fold()).cap('a').select(Column.values).unfold().order(Scope.local))], 
    'g_V_groupXaX_by_byXout_label_tailX10X_foldX_capXaX_selectXvaluesX_unfold_orderXlocalX': [(lambda g:g.V().group('a').by().by(__.out().label().tail(10).fold()).cap('a').select(Column.values).unfold().order(Scope.local))], 
    'g_VX1X_outEXknowsX_subgraphXsgX_name_capXsgX': [(lambda g, vid1=None:g.V(vid1).out_e('knows').subgraph('sg').values('name').cap('sg'))], 
    'g_V_repeatXbothEXcreatedX_subgraphXsgX_outVX_timesX5X_name_dedup_capXsgX': [(lambda g:g.V().repeat(__.both_e('created').subgraph('sg').out_v()).times(5).values('name').dedup().cap('sg'))], 
    'g_V_outEXnoexistX_subgraphXsgXcapXsgX': [(lambda g:g.V().out_e('noexist').subgraph('sg').cap('sg'))], 
    'g_E_hasXweight_0_5X_subgraphXaX_selectXaX': [(lambda g:g.E().has('weight', 0.4).subgraph('a').select('a'))], 
    'g_VX1X_out_out_tree_byXnameX': [(lambda g, vid1=None:g.V(vid1).out().out().tree().by('name'))], 
    'g_VX1X_out_out_tree': [(lambda g, vid1=None:g.V(vid1).out().out().tree())], 
    'g_V_out_tree_byXageX': [(lambda g:g.V().out().tree().by('age'))], 
    'g_VX1X_out_out_treeXaX_byXnameX_both_both_capXaX': [(lambda g, vid1=None:g.V(vid1).out().out().tree('a').by('name').both().both().cap('a'))], 
    'g_VX1X_out_out_treeXaX_both_both_capXaX': [(lambda g, vid1=None:g.V(vid1).out().out().tree('a').both().both().cap('a'))], 
    'g_VX1X_out_out_tree_byXlabelX': [(lambda g, vid1=None:g.V(vid1).out().out().tree().by(T.label))], 
    'g_VX1X_out_out_treeXaX_byXlabelX_both_both_capXaX': [(lambda g, vid1=None:g.V(vid1).out().out().tree('a').by(T.label).both().both().cap('a'))], 
    'g_VX1X_out_out_out_tree': [(lambda g:g.V().out().out().out().tree())], 
    'g_VX1X_outE_inV_bothE_otherV_tree': [(lambda g, vid1=None:g.V(vid1).out_e().in_v().both_e().other_v().tree())], 
    'g_VX1X_outE_inV_bothE_otherV_tree_byXnameX_byXlabelX': [(lambda g, vid1=None:g.V(vid1).out_e().in_v().both_e().other_v().tree().by('name').by(T.label))], 
    'g_V_out_treeXaX_selectXaX_countXlocalX': [(lambda g:g.V().out().tree('a').select('a').count(Scope.local))], 
    'g_V_out_order_byXnameX_localXtreeXaX_selectXaX_countXlocalXX': [(lambda g:g.V().out().local(__.tree('a').select('a').count(Scope.local)))], 
}