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| |
| Feature: Step - sample() |
| |
| Scenario: g_E_sampleX1X |
| Given the modern graph |
| And the traversal of |
| """ |
| g.E().sample(1) |
| """ |
| When iterated to list |
| Then the result should have a count of 1 |
| |
| Scenario: g_E_sampleX2X_byXweightX |
| Given the modern graph |
| And using the parameter v1Id defined as "v[marko].id" |
| And the traversal of |
| """ |
| g.E().sample(2).by("weight") |
| """ |
| When iterated to list |
| Then the result should have a count of 2 |
| |
| Scenario: g_V_localXoutE_sampleX1X_byXweightXX |
| Given the modern graph |
| And the traversal of |
| """ |
| g.V().local(__.outE().sample(1).by("weight")) |
| """ |
| When iterated to list |
| Then the result should have a count of 3 |
| |
| Scenario: g_V_group_byXlabelX_byXbothE_weight_sampleX2X_foldX |
| Given the modern graph |
| And the traversal of |
| """ |
| g.V().group().by(T.label).by(__.bothE().values("weight").sample(2).fold()) |
| """ |
| When iterated to list |
| Then nothing should happen because |
| """ |
| The return value of this traversal is a map of samples weights in a list for each key which makes it |
| especially hard to assert with the current test language established and the non-deterministic outcomes |
| of sample(). |
| """ |
| |
| Scenario: g_V_group_byXlabelX_byXbothE_weight_fold_sampleXlocal_5XX |
| Given the modern graph |
| And the traversal of |
| """ |
| g.V().group().by(T.label).by(__.bothE().values("weight").fold().sample(Scope.local, 5)) |
| """ |
| When iterated to list |
| Then nothing should happen because |
| """ |
| The return value of this traversal is a map of samples weights in a list for each key which makes it |
| especially hard to assert with the current test language established and the non-deterministic outcomes |
| of sample(). |
| """ |
| |