Refactor toDataFrame implementation in compiler plugin #782
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| "ReadJsonStr" -> ReadJsonStr() | ||
| "ReadDelimStr" -> ReadDelimStr() | ||
| "GroupByToDataFrame" -> GroupByToDataFrame() | ||
| "ToDataFrameFrom0" -> ToDataFrameFrom() |
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To and to?, again, could they be a CONSTANTS?
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| } | ||
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| fun interpretationFrameworkError(message: String): Nothing = throw InterpretationFrameworkError(message) |
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the name looks like object name, not a function
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Can't argue, but i was inspired by "error" function from standard library
| .associateBy { it.name }.toSortedMap().minus(additionalArguments.keys) | ||
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| if (expectedArgsMap.keys - defaultArguments != actualArgsMap.keys - defaultArguments) { | ||
| val unexpectedArguments = expectedArgsMap.keys - defaultArguments != actualArgsMap.keys - defaultArguments |
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very interesting algebra of arguments (great to explain somehow this kind of logic)
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This check is needed to simplify debug if someone writes an interpreter for fun a(myArgument: String) but misspells myArgument as myArg123123ument. Expected argument (by interpreter) is myArg123123ument, actual myArgument.
Easy to check.
But with default value:
fun a(myArgument: String, myArgument1: String = "defaultValue")
a("abc")
actualArg = myArgument, expectedArg = myArg123123ument, myArgument1.
We know that for myArgument1 default value is provided, so we exclude such arguments from comparison: it's not a mistake.
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But i can't say that i like the idea of adding this as a comment though. It might not be obvious in PR and i'm ok with providing a better explanations here. But in IDEA, won't you agree that code is enough?
plugins/kotlin-dataframe/src/org/jetbrains/kotlinx/dataframe/plugin/analyzeRefinedCallShape.kt
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…rt them as compilation errors. Add special constructor for errors that shouldn't be caught
Interpreters need an ability to pass arguments down to DSL, so introduce new "dsl" factory function
…ts failure messages
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