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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.  def addAttributesMapColumn(df: DataFrame): DataFrame
5.  final def asInstanceOf[T0]: T0

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6.  def checkAndGetPath(options: Map[String, String]): String
7.  def clone(): AnyRef

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

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9.  def equals(arg0: Any): Boolean

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10.  def filterFastaLines(df: DataFrame): DataFrame
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.  def inferSchema(sqlContext: SQLContext, path: String): StructType

    Infers the schema by reading the gff fileusing csv datasource and parsing the attributes fields to get official and unofficial attribute columns.

    Infers the schema by reading the gff fileusing csv datasource and parsing the attributes fields to get official and unofficial attribute columns. Drops the original "attributes" column. Names, types and ordering of columns will be as follows: Names: All attribute fields will have names exactly as in tags. Types: Official attribute fields will have the types in io.projectglow.common.FeatureSchemas.gffOfficialAttributeFields. Detection of official field names among tags are case-and-underscore-insensitive. Unofficial attribute fields will have StringType. Ordering: gffBaseSchema fields come first, followed by official attributes fields as ordered in io.projectglow.common.FeatureSchemas.gffOfficialAttributeFields, followed by unofficial attribute fields in case-insensitive alphabetical order.

    returns

    inferred schema

15.  final def isInstanceOf[T0]: Boolean

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16.  final def ne(arg0: AnyRef): Boolean

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17.  def normalizeAttributesMapKeys(df: DataFrame): DataFrame
18.  def normalizeString(s: String): String
19.  final def notify(): Unit

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20.  final def notifyAll(): Unit

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

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22.  def toString(): String

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23.  final def wait(): Unit

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

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

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