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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.  final def asInstanceOf[T0]: T0

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5.  def clone(): AnyRef

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6.  def computeStats(spark: SparkSession, conf: Configuration, dataPath: Path, addFiles: Dataset[AddFile], numFilesOpt: Option[Long], columnMappingMode: DeltaColumnMappingMode, dataSchema: StructType, statsSchema: StructType, ignoreMissingStats: Boolean = true, setBoundsToWide: Boolean = false): Dataset[AddFile]

   A helper function to compute stats of addFiles using StatsCollector.

   A helper function to compute stats of addFiles using StatsCollector.

   spark

   The SparkSession used to process data.

   conf

   The Hadoop configuration used to access file system.

   dataPath

   The data path of table, to which these AddFile(s) belong.

   addFiles

   The list of target AddFile(s) to be processed.

   numFilesOpt

   The number of AddFile(s) to process if known. Speeds up the query.

   columnMappingMode

   The column mapping mode of table.

   dataSchema

   The data schema of table.

   statsSchema

   The stats schema to be collected.

   ignoreMissingStats

   Whether to ignore missing stats during computation.

   setBoundsToWide

   Whether to set bounds to wide independently of whether or not the files have DVs.

   returns

   A list of AddFile(s) with newly computed stats, please note the existing stats from the input addFiles will be ignored regardless.

7.  final def eq(arg0: AnyRef): Boolean

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8.  def equals(arg0: AnyRef): Boolean

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9.  def finalize(): Unit

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11.  def hashCode(): Int

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12.  def initializeLogIfNecessary(isInterpreter: Boolean, silent: Boolean): Boolean

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13.  def initializeLogIfNecessary(isInterpreter: Boolean): Unit

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25.  def logTrace(msg: => String): Unit

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26.  def logWarning(msg: => String, throwable: Throwable): Unit

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27.  def logWarning(msg: => String): Unit

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30.  final def notifyAll(): Unit

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31.  final def synchronized[T0](arg0: => T0): T0

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35.  final def wait(arg0: Long): Unit

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