01/27 - Fantastic Friday!

[Starslip]

Thanks! Ill see how I can make this work

If you want to get really fancy and it's possible, you can make the paste code tab between fields and paste everything with one key. The full code of mine looks like this:

s::
Clipboard := Confirmation
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Lastname
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Yearbirth
sleep 200
send ^v
sleep 200
send {tab 4}
return

So loads a variable, pastes, tabs to the next field, loads the next variable, etc

Don't know if that applies for what you're doing

 

[Kerek]

Meh that does suck. I feel like that happens sometimes as well with the PFA batches. Sometimes there will be a ton of pics with buildings/pools so you know it's more of a confirmation batch and someone was just zooming through clicking away randomly.

Carve this knowledge into your heart and mind for the next time people complain about "unfair rejections" and "requesters getting free work."

 

[heeheehahaha]

Ok this is basically it, the relevant parts:

a::
send ^c
sleep 200
Yearbirth := ClipboardAll
return

s::
Clipboard := Yearbirth
sleep 200
send ^v
return

Basically it would save what's in your clipboard to a variable called Yearbirth when you hit A, then call that clipboard back up when you hit S

Repeat for as many different things as you need

so you mean give different variable names for as many items I need? meaning copy and replace "yearbirth" with a new name for each separate item?

 

[Starslip]

so you mean give different variable names for as many items I need? meaning copy and replace "yearbirth" with a new name for each separate item?

Yep, exactly

 

[Blue]

Carve this knowledge into your heart and mind for the next time people complain about "unfair rejections" and "requesters getting free work."

My favorite is when they did like 1 or 2k hits out of the batch in like an hour... but they know for certain they didn't make any mistakes because they remember them all.

 

[Jaded]

It is possible to submit the classify hits without selecting a main classification on all photos. Like say for instance when someone is using a script with hotkeys and is paying so little attention that they hit the submit hotkey before they've hit whatever random hotkey they were going to jab for all the other photos. The lack of a primary classification is what results in the Primary Image classification.

Ah, I didn't realie that.

 

[heeheehahaha]

If you want to get really fancy and it's possible, you can make the paste code tab between fields and paste everything with one key. The full code of mine looks like this:

s::
Clipboard := Confirmation
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Lastname
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Yearbirth
sleep 200
send ^v
sleep 200
send {tab 4}
return

So loads a variable, pastes, tabs to the next field, loads the next variable, etc

Don't know if that applies for what you're doing

ok whoa this is awesome, thank you!

 

[lsutiger25]

Title: Fast and easy content viewing (few minutes for possible $0.60) - E8lzdUEas3V2ezXj87kMm | PANDA Requester: Sticky [A1I5WZRIXY5GS9] (Contact) (TO): [Pay: 4.46] [Fair: 4.72] [Comm: 4.19] [Fast: 4.76] Description: Look at some content for a few minutes to help us improve our measurements. Time: 20 minutes HITs Available: 1 Reward: $0.40 Qualifications: Age is not greater than 70; Location is US; Age is not less than 18;

If your into random people watching you...

 

[Vanyanka]

Title: Fast and easy content viewing (few minutes for possible $0.60) - E8lzdUEas3V2ezXj87kMm | PANDA Requester: Sticky [A1I5WZRIXY5GS9] (Contact) (TO): [Pay: 4.46] [Fair: 4.72] [Comm: 4.19] [Fast: 4.76] Description: Look at some content for a few minutes to help us improve our measurements. Time: 20 minutes HITs Available: 1 Reward: $0.40 Qualifications: Age is not greater than 70; Location is US; Age is not less than 18;

If your into random people watching you...

Trackpads thread, please.

 

[Blue]

If you want to get really fancy and it's possible, you can make the paste code tab between fields and paste everything with one key. The full code of mine looks like this:

s::
Clipboard := Confirmation
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Lastname
sleep 200
send ^v
sleep 200
send {tab}
Clipboard := Yearbirth
sleep 200
send ^v
sleep 200
send {tab 4}
return

So loads a variable, pastes, tabs to the next field, loads the next variable, etc

Don't know if that applies for what you're doing

You can do this much more cleanly by using an array and stepping through it using a loop and the A_Index global variable... or even just an iterative counter. Nice job though!

 

[lsutiger25]

Is it sad that I'm counting down to this....

 

[Hotlamp]

$20 until I can nap T_T.

 

[lsutiger25]

Trackpads thread, please.

Whats the Trackpads thread? I did a search and couldn't find it..

 

[Starslip]

You can do this much more cleanly by using an array and stepping through it using a loop and the A_Index global variable... or even just an iterative counter. Nice job though!

I have no doubt, but pretty much all my scripts are just kludges that mimic simple keyboard commands cause that's about as far as my understanding goes I'll go look those up though, thanks.

 

[electrolyte]

Whats the Trackpads thread? I did a search and couldn't find it..

http://www.mturkcrowd.com/threads/mtc-deviants.1428/

 

[Starslip]

http://www.mturkcrowd.com/threads/mtc-deviants.1428/

I wavered back and forth between thinking trackpads were a HIT, or trackpads like the pointing device. Based on this I'm guessing the pointing device.

You sickos.

 

[KellieS23]

OH! I actually caught the Carlos Velez HIT for my demographic!

 

[lsutiger25]

http://www.mturkcrowd.com/threads/mtc-deviants.1428/

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

 

[lsutiger25]

I wavered back and forth between thinking trackpads were a HIT, or trackpads like the pointing device. Based on this I'm guessing the pointing device.

You sickos.

Don't look haha

 

[Pink Frost]

Is it sad that I'm counting down to this....

You're counting down to watching Hornswoggle drink delicious beverages? Weird...