We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We changeour tenent tosomethingother thanSD or AGWe no longersupport torch2.6. Pleaseuse Theano>=1.0 Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" New datasetthat forces usto rewrite ourentire attentionstructureXWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPA number oftasks in mtpare deleted.The cuplrit isnever foundWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetProject iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe are askedto optimizeour code for abatch size of1We are askedto integrateour code intoWseAdsReccodebaseWe havedecided tomove our codeto tensorflow0.9, pleasecomply We haveupdate OM.Please put allyour code inone file calledhere.py We moveaway fromNPUcompletely toCPUs in mepOne of ourmergesbreaks areentire codeunexpectedlyWe dont getAG tenantaccess in2026Typing isnotcompatiblewith MEP We are asked tooverhaul the codebased on an HQcode update(specifically notlike others here)We changeour tenent tosomethingother thanSD or AGWe no longersupport torch2.6. Pleaseuse Theano>=1.0 Variablesupport in dictsnot supported.Please nameall your keys as"var{i}" New datasetthat forces usto rewrite ourentire attentionstructureXWe are givenaccess to tritonlike NPUsoftware. Butits a nightmareto useA new model isadded to ourcode, but forreasons beyondour control cantbe used in MEPA number oftasks in mtpare deleted.The cuplrit isnever foundWe do notsupporttorch.nn layersas it doesnthave OMstructure KV cachingsupport isadded butbreaks outcodeUnder the hoodall variablesmust be float16(16 bytes),including intsand strings. We havedropped OMsupport, nowwe use OMG.Pleaseoverhaul code An modelbreaking bugis found inthe trainingdatasetProject iscompletelydropped outof the blue fora new oneWe beat the bestbaseline in mepbut its quicklybeaten byanother modelwithin 2 weeksWe are askedto optimizeour code for abatch size of1We are askedto integrateour code intoWseAdsReccodebaseWe havedecided tomove our codeto tensorflow0.9, pleasecomply We haveupdate OM.Please put allyour code inone file calledhere.py We moveaway fromNPUcompletely toCPUs in mepOne of ourmergesbreaks areentire codeunexpectedlyWe dont getAG tenantaccess in2026Typing isnotcompatiblewith MEP 

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