Inconsistent results in equivalent queries
- Dominant language
- Java
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Description
### Bug Type (问题类型)
gremlin (结果不合预期)
### Before submit
- [X] 我已经确认现有的 [Issues](https://github.com/apache/hugegraph/issues) 与 [FAQ](https://hugegraph.apache.org/docs/guides/faq/) 中没有相同 / 重复问题 (I have confirmed and searched that there are no similar problems in the historical issue and documents)
### Environment (环境信息)
HugeGraph: v1.0.0
### Expected & Actual behavior (期望与实际表现)
Query 1:
```
g.V().as('cccccccc').hasLabel('A').emit(__.loops().is(gte(1))).repeat(__.outE().inV()).times(2).emit(__.loops().is(gte(1))).repeat(__.outE().inV()).times(2).as('hketwcbf').hasLabel('B').bothE().dedup().by(__.path()).otherV().as('test').where(__.select('test').where(eq('cccccccc'))).select('hketwcbf').count()
```
Query 2:
```
g.V().as('cccccccc').hasLabel('A').bothE().dedup().by(__.path()).otherV().as('hketwcbf').hasLabel('B').emit(__.loops().is(gte(1))).repeat(__.inE().outV()).times(2).emit(__.loops().is(gte(1))).repeat(__.inE().outV()).times(2).as('test').where(__.select('test').where(eq('cccccccc'))).select('hketwcbf').count()
```
They are equivalent queries that have symmetric graph pattern. They would look like these in Cypher:
```
Q1: MATCH (cccccccc:A)-[]-(hketwcbf:B)<-[*1..2]-(ahdnqvvl)<-[*1..2]-(cccccccc:A) RETURN count(hketwcbf)
Q2: MATCH (cccccccc:A)-[*1..2]->(ahdnqvvl)-[*1..2]->(hketwcbf:B)-[]-(cccccccc:A) RETURN count(hketwcbf)
```
### Vertex/Edge example (问题点 / 边数据举例)
_No response_
### Schema [VertexLabel, EdgeLabel, IndexLabel] (元数据结构)
```javascript
g.addV('A').as('n1').property(single, 'name', 56).property(single, 'id', 2).property(single, 'undefined', 18).addV('A').as('n2').property(single, 'name', 61).property(single, 'id', 61).addV('A').as('n3').property(single, 'name', 49).property(single, 'id', 92).property(single, 'undefined', 16).addV('B').as('n4').property(single, 'name', 79).property(single, 'id', 47).addV('B').as('n5').property(single, 'name', 22).property(single, 'id', 17).property(single, 'undefined', 74).addV('A').as('n6').property(single, 'name', 99).property(single, 'id', 95).addV('B').as('n7').property(single, 'name', 29).property(single, 'id', 25).property(single, 'undefined', 1).addV('A').as('n8').property(single, 'name', 65).property(single, 'id', 62).addV('B').as('n9').property(single, 'name', 34).property(single, 'id', 83).property(single, 'undefined', 24).addV('B').as('n10').property(single, 'name', 91).property(single, 'id', 74).addE('x').from('n1').to('n8').addE('y').from('n2').to('n9').addE('x').from('n3').to('n3').addE('y').from('n4').to('n1').addE('x').from('n5').to('n5').addE('y').from('n6').to('n5').addE('x').from('n7').to('n6').addE('y').from('n8').to('n7').addE('x').from('n9').to('n5').addE('y').from('n10').to('n5').addE('x').from('n1').to('n5').addE('y').from('n2').to('n8').addE('x').from('n3').to('n2').addE('y').from('n4').to('n3').addE('x').from('n5').to('n6').addE('y').from('n6').to('n10').addE('x').from('n7').to('n7').addE('y').from('n8').to('n8').addE('x').from('n9').to('n9').addE('y').from('n10').to('n9').addE('x').from('n1').to('n8').addE('y').from('n2').to('n3').addE('x').from('n3').to('n1').addE('y').from('n4').to('n6').addE('x').from('n5').to('n9').addE('y').from('n6').to('n6').addE('x').from('n7').to('n5').addE('y').from('n8').to('n5').addE('x').from('n9').to('n10').addE('y').from('n10').to('n3').addE('x').from('n1').to('n10').addE('y').from('n2').to('n6').addE('x').from('n3').to('n2').addE('y').from('n4').to('n4').addE('x').from('n5').to('n3').addE('y').from('n6').to('n8').addE('x').from('n7').to('n4').addE('y').from('n8').to('n3').addE('x').from('n9').to('n8').addE('y').from('n10').to('n9').addE('x').from('n1').to('n9').addE('y').from('n2').to('n5').addE('x').from('n3').to('n7').addE('y').from('n4').to('n9').addE('x').from('n5').to('n5').addE('y').from('n6').to('n5').addE('x').from('n7').to('n7').addE('y').from('n8').to('n7').addE('x').from('n9').to('n9').addE('y').from('n10').to('n5').barrier().limit(0)
```
```
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