CALCULATE Challenge - Round 1

I think this should qualify, though it isn't super clean.

VAR _AllDates_ =
    SUMMARIZE (
    	ALL ( FactInternetSales ),
    	Dates[Year],
    	Dates[Date]
    )
VAR _DateRange_ =
    WINDOW (
        1, ABS,
        0, REL,
        _AllDates_,
        ORDERBY ( Dates[Date] ),
        PARTITIONBY ( Dates[Year] )
    )
VAR _Result =  CALCULATE ( [Internet Sales], _DateRange_ )
RETURN
    _Result

thank God it's such an obvious and easy solution that even a DAX novice could understand and doesn't rely on a function introduced within that last year which pretty much means the solution was unsolvable for 7 years or so...

WINDOW isn't required. A plain filter works fine too and has been around since the beginning.

VAR _AllDates_ = SUMMARIZE ( ALL ( FactInternetSales ), Dates[Date]	)
	
VAR _CurrDate = MAX ( Dates[Date] )
VAR _CurrYear = YEAR ( _CurrDate )

VAR _DateRange_ =
    FILTER (
    	_ALLDates_,
    	YEAR ( Dates[Date] )  = _CurrYear &&
    	Dates[Date] <= _CurrDate
    )
VAR _Result =  CALCULATE ( [Internet Sales], _DateRange_ )
RETURN
    _Result

However, there are still 15 other date intelligence measures in the file that are part of the challenge.

I'm not really interested in doing all 15 other ones as I don't think they'll reveal much that this YTD example doesn't already. If there is one that you think is meaningfully different, let me know.

Greg_Deckler, PW is an easy case where the TI solution or something like the following is just as fast.

CALCULATE (
    [Internet Sales],
    TREATAS ( VALUES ( Dates[Prior Week Date] ), Dates[Date] )
)