Spark has several ways to create ASTs.
Spark有好几种创建aST的方法。
The Spark module provides several classes for working with ASTs.
Spark模块提供了几个使用AST的类。
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。
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)。
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。
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。
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。
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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