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quasar.csv

CsvDetect

Related Doc: package csv

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object CsvDetect

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  1. final case class TestResult(header: slamdata.Predef.Int, rows: slamdata.Predef.List[slamdata.Predef.Int]) extends Product with Serializable

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Value Members

  1. final def !=(arg0: Any): Boolean

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  2. final def ##(): Int

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  3. final def ==(arg0: Any): Boolean

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  4. val TestChars: Int

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  5. val TestRecords: Int

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  6. final def asInstanceOf[T0]: T0

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  7. def bestParse(parsers: slamdata.Predef.List[CsvParser])(text: slamdata.Predef.String): \/[slamdata.Predef.String, slamdata.Predef.Stream[\/[slamdata.Predef.String, Record]]]

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  8. def clone(): AnyRef

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  9. final def eq(arg0: AnyRef): Boolean

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  10. def equals(arg0: Any): Boolean

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  11. def finalize(): Unit

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  12. final def getClass(): Class[_]

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  13. def hashCode(): Int

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  14. final def isInstanceOf[T0]: Boolean

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  15. final def ne(arg0: AnyRef): Boolean

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  16. final def notify(): Unit

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  17. final def notifyAll(): Unit

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  18. val parse: (slamdata.Predef.String) ⇒ \/[slamdata.Predef.String, slamdata.Predef.Stream[\/[slamdata.Predef.String, Record]]]

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  19. def rank[P <: CsvParser](parsers: slamdata.Predef.List[P])(text: slamdata.Predef.String): slamdata.Predef.List[(slamdata.Predef.Double, P)]

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  20. def score(result: TestResult): slamdata.Predef.Double

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    Assign a numeric score to the result of testParse.

    Assign a numeric score to the result of testParse. 0.0 is the best score, meaning no deviation from the expected shape, which is

    • at least two columns and two rows
    • no rows with more fields than the header (large penalty)
    • few rows with less fields than the header (small penalty)

  21. final def synchronized[T0](arg0: ⇒ T0): T0

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  22. def testParse(parser: CsvParser, text: slamdata.Predef.String): slamdata.Predef.Option[TestResult]

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  23. def toString(): String

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  24. final def wait(): Unit

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  25. final def wait(arg0: Long, arg1: Int): Unit

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  26. final def wait(arg0: Long): Unit

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