We are askedto optimizeour code for abatch size of1Under the hoodall variablesmust be float16(16 bytes),including intsand strings. We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe do notsupporttorch.nn layersas it doesnthave OMstructure We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe dont getAG tenantaccess in2026New datasetthat forces usto rewrite ourentire attentionstructureTyping isnotcompatiblewith MEP A number oftasks in mtpare deleted.The cuplrit isnever foundWe moveaway fromNPUcompletely toCPUs in mepWe no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPAn modelbreaking bugis found inthe trainingdatasetOne of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" KV cachingsupport isadded butbreaks outcodeWe changeour tenent tosomethingother thanSD or AGXWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)Project iscompletelydropped outof the blue fora new oneWe are askedto integrateour code intoWseAdsReccodebaseWe are askedto optimizeour code for abatch size of1Under the hoodall variablesmust be float16(16 bytes),including intsand strings. We beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe do notsupporttorch.nn layersas it doesnthave OMstructure We are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useWe dont getAG tenantaccess in2026New datasetthat forces usto rewrite ourentire attentionstructureTyping isnotcompatiblewith MEP A number oftasks in mtpare deleted.The cuplrit isnever foundWe moveaway fromNPUcompletely toCPUs in mepWe no longersupport torch2.6. Pleaseuse Theano>=1.0 We havedecided tomove our codeto tensorflow0.9, pleasecomply A new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPAn modelbreaking bugis found inthe trainingdatasetOne of ourmergesbreaks areentire codeunexpectedlyWe haveupdate OM.Please put allyour code inone file calledhere.py Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" KV cachingsupport isadded butbreaks outcodeWe changeour tenent tosomethingother thanSD or AGXWe havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)Project iscompletelydropped outof the blue fora new oneWe are askedto integrateour code intoWseAdsReccodebase

HQ 2026 FUN - Call List

(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.


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  1. We are asked to optimize our code for a batch size of 1
  2. Under the hood all variables must be float16 (16 bytes), including ints and strings.
  3. We beat the best baseline in mep but its quickly beaten by another model within 2 weeks
  4. We do not support torch.nn layers as it doesnt have OM structure
  5. We are given access to triton like NPU software. But its a nightmare to use
  6. We dont get AG tenant access in 2026
  7. New dataset that forces us to rewrite our entire attention structure
  8. Typing is not compatible with MEP
  9. A number of tasks in mtp are deleted. The cuplrit is never found
  10. We move away from NPU completely to CPUs in mep
  11. We no longer support torch 2.6. Please use Theano >=1.0
  12. We have decided to move our code to tensorflow 0.9, please comply
  13. A new model is added to our code, but for reasons beyond our control cant be used in MEP
  14. An model breaking bug is found in the training dataset
  15. One of our merges breaks are entire code unexpectedly
  16. We have update OM. Please put all your code in one file called here.py
  17. Variable support in dicts not supported. Please name all your keys as "var{i}"
  18. KV caching support is added but breaks out code
  19. We change our tenent to something other than SD or AG
  20. X
  21. We have dropped OM support, now we use OMG. Please overhaul code
  22. We are asked to overhaul the code based on an HQ code update (specifically not like others here)
  23. Project is completely dropped out of the blue for a new one
  24. We are asked to integrate our code into WseAdsRec codebase