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Feature: Step - aggregate()

  Scenario: g_V_valueXnameX_aggregateXxX_capXxX
    Given the modern graph
    And the traversal of
      """
      g.V().values("name").aggregate("x").cap("x")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | josh |
      | peter |
      | lop |
      | vadas |
      | ripple |

  Scenario: g_V_valueXnameX_aggregateXglobal_xX_capXxX
    Given the modern graph
    And the traversal of
      """
      g.V().values("name").aggregate(Scope.global,"x").cap("x")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | josh |
      | peter |
      | lop |
      | vadas |
      | ripple |

  Scenario: g_V_aggregateXxX_byXnameX_capXxX
    Given the modern graph
    And the traversal of
      """
      g.V().aggregate("x").by("name").cap("x")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | josh |
      | peter |
      | lop |
      | vadas |
      | ripple |

  Scenario: g_V_out_aggregateXaX_path
    Given the modern graph
    And the traversal of
      """
      g.V().out().aggregate("a").path()
      """
    When iterated to list
    Then the result should be unordered
      | result |
      | p[v[marko],v[lop]] |
      | p[v[marko],v[vadas]] |
      | p[v[marko],v[josh]] |
      | p[v[josh],v[ripple]] |
      | p[v[josh],v[lop]] |
      | p[v[peter],v[lop]] |

  Scenario: g_V_hasLabelXpersonX_aggregateXxX_byXageX_capXxX_asXyX_selectXyX
    Given the modern graph
    And the traversal of
      """
      g.V().hasLabel("person").aggregate("x").by("age").cap("x").as("y").select("y")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | d[29].i |
      | d[27].i |
      | d[32].i |
      | d[35].i |

  Scenario: g_V_aggregateXlocal_a_nameX_out_capXaX
    Given the modern graph
    And the traversal of
      """
      g.V().aggregate(Scope.local,"a").by("name").out().cap("a")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | vadas |
      | lop |
      | josh |
      | ripple |
      | peter  |

  Scenario: g_VX1X_aggregateXlocal_aX_byXnameX_out_aggregateXlocal_aX_byXnameX_name_capXaX
    Given the modern graph
    And using the parameter v1Id defined as "v[marko].id"
    And the traversal of
      """
      g.V(v1Id).aggregate(Scope.local,"a").by("name").out().aggregate(Scope.local,"a").by("name").values("name").cap("a")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | vadas |
      | lop |
      | josh |

  Scenario: g_withSideEffectXa_setX_V_both_name_aggregateXlocal_aX_capXaX
    Given the modern graph
    And using the parameter initial defined as "s[]"
    And the traversal of
      """
      g.withSideEffect("a", initial).V().both().values("name").aggregate(Scope.local,"a").cap("a")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | marko |
      | vadas |
      | lop |
      | josh |
      | ripple |
      | peter  |

  Scenario: g_V_aggregateXlocal_aX_byXoutEXcreatedX_countX_out_out_aggregateXlocal_aX_byXinEXcreatedX_weight_sumX
    Given the modern graph
    And the traversal of
      """
      g.V().aggregate(Scope.local,"a").
             by(__.outE("created").count()).
        out().out().aggregate(Scope.local,"a").
                      by(__.inE("created").values("weight").sum()).
        cap("a")
      """
    When iterated next
    Then the result should be unordered
      | result |
      | d[1].l |
      | d[1].l |
      | d[0].l |
      | d[0].l |
      | d[0].l |
      | d[2].l |
      | d[1.0].d |
      | d[1.0].d |