WWIS-FM

WWIS-FM (99.7 FM) is a radio station broadcasting a Classic Country format. It is licensed to Black River Falls, Wisconsin, United States. The station is currently owned by WWIS Radio, Inc., and features programming from CBS Radio, Jones Radio Network and Westwood One.[1]

WWIS-FM
CityBlack River Falls, Wisconsin
Frequency99.7 MHz
BrandingThe Star
Programming
FormatClassic Country
AffiliationsCBS Radio, Jones Radio Network, Westwood One
Ownership
OwnerWWIS Radio, Inc.
Sister stationsWWIS (AM)
History
First air dateJanuary 21, 1991
Call sign meaningWWISconsin
Technical information
Facility ID74189
ClassC3
ERP25,000 watts
HAAT100.0 meters
Transmitter coordinates44°19′11.00″N 90°53′31.00″W
Links
WebcastListen Live
Websitewww.wwisradio.com

Current programming

WWIS-FM carries Milwaukee Brewers baseball, as well as basketball and football from the University of Wisconsin.

gollark: It allocates memory and doesn't consider it a side effect.
gollark: I didn't do any horrible homoglyph hacks with THAT.
gollark: It uses the function, yes.
gollark: So, I finished that to highly dubious demand. I'd like to know how #11 and such work.
gollark: > `x = _(int(0, e), int(e, е))`You may note that this would produce slices of 0 size. However, one of the `e`s is a homoglyph; it contains `2 * e`.`return Result[0][0], x, m@set({int(e, 0), int(е, e)}), w`From this, it's fairly obvious what `strassen` *really* does - partition `m1` into 4 block matrices of half (rounded up to the nearest power of 2) size.> `E = typing(lookup[2])`I forgot what this is meant to contain. It probably isn't important.> `def exponentiate(m1, m2):`This is the actual multiplication bit.> `if m1.n == 1: return Mаtrix([[m1.bigData[0] * m2.bigData[0]]])`Recursion base case. 1-sized matrices are merely multiplied scalarly.> `aa, ab, ac, ad = strassen(m1)`> `аa, аb, аc, аd = strassen(m2)`More use of homoglyph confusion here. The matrices are quartered.> `m = m1.subtract(exponentiate(aa, аa) ** exponentiate(ab, аc), exponentiate(aa, аb) ** exponentiate(ab, аd), exponentiate(ac, аa) ** exponentiate(ad, аc), exponentiate(ac, аb) ** exponentiate(ad, аd)) @ [-0j, int.abs(m2.n * 3, m1.n)]`This does matrix multiplication in an inefficient *recursive* way; the Strassen algorithm could save one of eight multiplications here, which is more efficient (on big matrices). It also removes the zero padding.> `m = exponentiate(Mаtrix(m1), Mаtrix(m2)) @ (0j * math.sin(math.asin(math.sin(math.asin(math.sin(math.e))))), int(len(m1), len(m1)))`This multiples them and I think also removes the zero padding again, as we want it to be really very removed.> `i += 1`This was added as a counter used to ensure that it was usably performant during development.> `math.factorial = math.sinh`Unfortunately, Python's factorial function has really rather restrictive size limits.> `for row in range(m.n):`This converts back into the 2D array format.> `for performance in sorted(dir(gc)): getattr(gc, performance)()`Do random fun things to the GC.

References


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