Spark 3.2 new functions

[eruizalo]

Look into the following functions if they already are in doric or we have to add them:

• def typedlit[T : TypeTag](literal: T): Column
• def count_distinct(expr: Column, exprs: Column*): Column
• def product(e: Column): Column
• def sum_distinct(e: Column): Column ✅ covered in Feat/#60 implemented aggregate functions #123
• def lag(e: Column, offset: Int, defaultValue: Any, ignoreNulls: Boolean): Column
• def lead(e: Column, offset: Int, defaultValue: Any, ignoreNulls: Boolean): Column
• def bitwise_not(e: Column): Column ⁉️ WIP in Non-aggregate functions #68
• def shiftleft(e: Column, numBits: Int): Column ✅ covered in feat: [+] #66 math functions #223
• def shiftright(e: Column, numBits: Int): Column ✅ covered in feat: [+] #66 math functions #223
• def shiftrightunsigned(e: Column, numBits: Int): Column ✅ covered in feat: [+] #66 math functions #223
• def sentences(string: Column, language: Column, country: Column): Column
• def sentences(string: Column): Column
• def next_day(date: Column, dayOfWeek: Column): Column
• def session_window(timeColumn: Column, gapDuration: String): Column
• def session_window(timeColumn: Column, gapDuration: Column): Column
• def call_udf(udfName: String, cols: Column*): Column