Spark has several ways to create ASTs.

Spark有好几种创建aST的方法。

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The Spark module provides several classes for working with ASTs.

Spark模块提供了几个使用AST的类。

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However, Spark also offers an "automatic" way of generating ASTs.

然而，Spark还提供一种“自动”生成ast的方式。

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All of these provide different ASTs and different ways of getting at it.

所有这些分析器提供了不同的抽象语法树以及获取它们的方式。

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They contain similar methods and create similar abstract syntax trees (ASTs).

它们包含相似的方法并创建相似的抽象语法树(ast)。

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There have also been improvements to significantly reduce memory usage of the IronPython ASTs.

还有很多增强可以极大地降低IronPythonAST处理过程的内存使用。

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On exon level, 85 PSRs (probe select regions) were identified as alternatively spliced exons that belonged to 85 ASTs (alternatively spliced transcripts), and 36 transcripts have an-notation.

在外显子水平，共有85个发生选择性剪接的外显子，分别属于85个转录本，仅有36个已知基因。

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Materialized Query Tables (MQTs), formerly known as Automatic Summary Tables (ASTs), can be defined to locally cache the result of queries that reference relational and non-relational nicknames.

可以通过定义物化查询表(Materialized QueryTables, MQT)——以前称为自动总结表(Automatic Summary Tables,AST)——来在本地缓存引用关系和非关系昵称的查询的结果。

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Materialized Query Tables (MQTs), formerly known as Automatic Summary Tables (ASTs), can be defined to locally cache the result of queries that reference relational and non-relational nicknames.

可以通过定义物化查询表(Materialized QueryTables, MQT)——以前称为自动总结表(Automatic Summary Tables,AST)——来在本地缓存引用关系和非关系昵称的查询的结果。

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