data:image/png;base64,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You guessed it in tries!2You Guessed the Secret NumberLabel item # 4 a/c; Procedure name with parametertruefeedback for computer6SpriteLabel # 4 a/c; Procedure name with parameter160number of guesses101Guess was too low, update lower bound of possible solutions3de:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _
ca:llança _
es:lanzar _
fr:lance _
pt:lança _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
pt:captura _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
pt:lança _ _
catchtagThis is a breakpoint block, to be used in debugging.
The Boolean input specifies the condition under which
the program should pause. (Use True for an unconditional breakpoint.) The intent is that the script should have
SHOW VARIABLE blocks for the process's local variables.
After the pause, this block automatically hides all temporary variables.de:falls _ dann _ und pause $pause-1-255-220-0
ca:si _ fes _ i atura-ho tot $pause-1-255-220-0
es:si _ haz _ y páralo todo $pause-1-255-220-0
fr:si _ faire _ et mettre tout en pause $pause-1-255-220-0
pt:se _ , então _ e faz pausa em tudo $pause-1-255-220-0
This block does nothing.
Use it when you are calling a reporter
for its side effect and don't care about
its return value.de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
pt:ignora _
Call f(f(f(...(f(x))))) n times where the three input slots are n, f, and x from left to right. The # variable can be used inside f to represent how many times f has been called.pt:o resultado de _ invocações em cascata de _ com argumento inicial _ _
ca:en cascada _ vegades _ _ _
Call f(f(f(...(f(x))))) until condition is true, where the three input slots are condition, f, and x from left to right. The # variable can be used inside f or condition to indicate how many times f has been called.pt:o resultado da invocação em cascata até que _ de _ com argumento inicial _ _
ca:en cascada fins _ _ _ _
Returns the function x↦f(g(x)) where f and g are the two inputs.pt:a composição de _ com _
ca:composa _ _
Like the built-in REPEAT UNTIL block, except that the ending condition is not tested until the script has been run the first time. So the script is run at least once.pt:repete _ até que _ $loop-0.7
ca:repeteix _ fins _
Run the script repeatedly, as long as the given condition is true. Runs the script at least once before testing the condition.pt:repete _ enquanto _ $loop-0.7
ca:repeteix _ mentre _
Runs the script repeatedly, as long as the condition is true. Tests the condition before the first time the script is run. Like the built in REPEAT UNTIL except that in this block the condition must be true, not false.pt:enquanto _ , repete _ $loop-0.7
Runs the script the specified number of times, like the built-in REPEAT block, but this one provides the # variable that can be used inside the script. Try
REPEAT (200)
MOVE (#) STEPS
RIGHT 92
with the pen down.pt:repete _ vezes _ _ $loop-0.7
ca:repeteix _ _ _
The primitive FOR block uses an implicit step of ±1 depending on which of the starting and ending values is larger. This version allows you to provide an explicit step value. If the sign of the step input is incompatible with the ordering of the starting and ending values, the script will not be run at all.pt:para _ de _ com passo _ a _ _ $loop-0.7
ca:per _ = _ incrementant _ fins _ _
1110Provides LOOP as a function of one input that runs
the body of the LET with A set to the function input,
so the body can run itself recursively.
See COPY block in Variables for an example of use.pt:tendo _ o valor inicial _ , executa _ definido como _
ca:fes que _ sigui _ al _ _
new valueThis block creates new variables on the selected scope: global (for all sprites), sprite (for this sprite only) or script (only for that blocks stack) with the names given (in 'names' list).
If there is already a variable with that name in that scope, it does nothing: no errors and no overwrites.pt:cria as variáveis _ _
ca:crea les _ variables _
es:crear las _ variables _
de:erstellen _ var _
globalglobal
sprite
scriptThis block deletes all the variables with the names given (inside input list).
Each name will make only one variable deletion, and this will be the variable found following the scope order: 'script' -> 'sprite' -> 'global'.
If we have a "testing" sprite variable and also a "testing" global one, deleting "testing" will delete only the sprite one (Yes! we can also do "delete var (testing, testing)" to delete both.
If one variable does not exists (in any scope) an error happens, stopping block action in that point. You can check it before with the "does var (name) exists?"block. pt:remove as variáveis _
ca:esborra les variables _
es:borrar variables _
de:löschen var _
This block sets the given value (last input) to the variable named with the name givent (var input).
It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds).
If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block. ca:assigna a _ el valor _
es:asignar a _ el valor _
pt:altera _ para _
de:setze var _ auf _
§_getVarNamesDictThis block reports the value of the variable with the name given.
It looks for that variable following the scope order 'script' -> 'sprite' -> 'global' (the first match it finds).
If that variable does not exist (in any scope) an error happens, stopping their script. You can check it before using the "does var (name) exists?" block. pt:o valor de _
§_getVarNamesDictThis block reports "true" if there is a variable with this given name (input slot) in that context.
It can be a global, sprite or script variable.
Otherwise it reports "false".pt:a variável _ existe
ca:existeix la variable _ ?
es:existe la variable _ ?
de:existiert var _ ?
err_resetThis block turns on (show) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input).
It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'.
No errors if that variable does not exist.ca:mostra la variable _
es:mostrar variable _
pt:mostra a variável _
de:zeige var _
§_getVarNamesDictThis block turns off (hide) the watcher view on stage (if it was not already activated) of the variable with the given name (slot input).
It can only access to the closest variable scope (if there different variables with the same name in different scopes) following the order 'script' -> 'sprite' -> 'global'.
No errors if that variable does not exist.ca:amaga la variable _
es:esconder variable _
pt:esconde a variável _
de:verstecke var _
§_getVarNamesDictJust rightToo bigToo bigJust rightUser guessesDinoUserUser guessesGuess my secret number.DinoUserdata:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAeAAAAFoCAYAAACPNyggAAAQAElEQVR4AezVC27kNhAEUCP3P3SC/NZeez6SSDWb9YJg1zsjkV2vDdQfH/4jQIAAAQIEbhdQwLeTu5AAAQIECHx8ZBew3wACBAgQIFAkoICL4F1LgAABAtkCCjh3/5ITIECAQKGAAi7EdzUBAgQI5Aoo4NzdZyeXngABAsUCCrh4Aa4nQIAAgUwBBZy5d6mzBaQnQGABAQW8wBKMQIAAAQJ5Ago4b+cSE8gWkJ7AIgIKeJFFGIMAAQIEsgQUcNa+pSVAIFtA+oUEFPBCyzAKAQIECOQIKOCcXUtKgACBbIHF0ivgxRZiHAIECBDIEFDAGXuWkgABAgQWE7i5gBdLbxwCBAgQIFAkoICL4F1LgAABAtkCCvjG/buKAAECBAj8J6CA/5PwNwECBAgQuFFAAd+InX2V9AQIECDwWUABf9bwMwECBAgQuElAAd8E7ZpsAekJECDwu4AC/l3EvwkQIECAwA0CCvgGZFcQyBaQngCBnwQU8E8qPiNAgAABApMFFPBkYMcTIJAtID2BRwIK+JGMzwkQIECAwEQBBTwR19EECBDIFpD+mYACfqbjOwIECBAgMElAAU+CdSwBAgQIZAu8Sq+AXwn5ngABAgQITBBQwBNQHUmAAAECBF4J7F3Ar9L7ngABAgQIFAko4CJ41xIgQIBAtoAC3nf/khEgQIDAwgIKeOHlGI0AAQIE9hVQwPvuNjuZ9AQIEFhcQAEvviDjESBAgMCeAgp4z71KlS0gPQECDQQUcIMlGZEAAQIE9hNQwPvtVCIC2QLSE2gioICbLMqYBAgQILCXgALea5/SECCQLSB9IwEF3GhZRiVAgACBfQQU8D67lIQAAQLZAs3SK+BmCzMuAQIECOwhoID32KMUBAgQINBMYHABN0tvXAIECBAgUCSggIvgXUuAAAEC2QIKeOD+HUWAAAECBN4VUMDvSnmOAAECBAgMFFDAAzGzj5KeAAECBI4IKOAjWp4lQIAAAQKDBBTwIEjHZAtIT4AAgaMCCviomOcJECBAgMAAAQU8ANERBLIFpCdA4IyAAj6j5h0CBAgQIHBRQAFfBPQ6AQLZAtITOCuggM/KeY8AAQIECFwQUMAX8LxKgACBbAHprwgo4Ct63iVAgAABAicFFPBJOK8RIECAQLbA1fQK+Kqg9wkQIECAwAkBBXwCzSsECBAgQOCqQO8Cvpre+wQIECBAoEhAARfBu5YAAQIEsgUUcN/9m5wAAQIEGgso4MbLMzoBAgQI9BVQwH13lz259AQIEGguoICbL9D4BAgQINBTQAH33JupswWkJ0BgAwEFvMESRSBAgACBfgIKuN/OTEwgW0B6ApsIKOBNFikGAQIECPQSUMC99mVaAgSyBaTfSEABb7RMUQgQIECgj4AC7rMrkxIgQCBbYLP0CnizhYpDgAABAj0EFHCPPZmSAAECBDYTOFjAm6UXhwABAgQIFAko4CJ41xIgQIBAtoACPrB/jxIgQIAAgVECCniUpHMIECBAgMABAQV8ACv7UekJECBAYKSAAh6p6SwCBAgQIPCmgAJ+E8pj2QLSEyBAYLSAAh4t6jwCBAgQIPCGgAJ+A8kjBLIFpCdAYIaAAp6h6kwCBAgQIPBCQAG/API1AQLZAtITmCWggGfJOpcAAQIECDwRUMBPcHxFgACBbAHpZwoo4Jm6ziZAgAABAg8EFPADGB8TIECAQLbA7PQKeLaw8wkQIECAwA8CCvgHFB8RIECAAIHZAmsX8Oz0zidAgAABAkUCCrgI3rUECBAgkC2ggNfdv8kIECBAYGMBBbzxckUjQIAAgXUFFPC6u8meTHoCBAhsLqCAN1+weAQIECCwpoACXnMvpsoWkJ4AgQABBRywZBEJECBAYD0BBbzeTkxEIFtAegIhAgo4ZNFiEiBAgMBaAgp4rX2YhgCBbAHpgwQUcNCyRSVAgACBdQQU8Dq7MAkBAgSyBcLSK+CwhYtLgAABAmsIKOA19mAKAgQIEAgT+K2Aw9KLS4AAAQIEigQUcBG8awkQIEAgW0ABf9q/HwkQIECAwF0CCvguafcQIECAAIFPAgr4E0b2j9ITIECAwJ0CCvhObXcRIECAAIF/BRTwvxD+yhaQngABAncLKOC7xd1HgAABAgT+ElDAfyH4n0C2gPQECFQIKOAKdXcSIECAQLyAAo7/FQBAIFtAegJVAgq4St69BAgQIBAtoICj1y88AQLZAtJXCijgSn13EyBAgECsgAKOXb3gBAgQyBaoTq+AqzfgfgIECBCIFFDAkWsXmgABAgSqBWoLuDq9+wkQIECAQJGAAi6Cdy0BAgQIZAso4Lr9u5kAAQIEggUUcPDyRSdAgACBOgEFXGeffbP0BAgQCBdQwOG/AOITIECAQI2AAq5xd2u2gPQECBD4UMB+CQgQIECAQIGAAi5AdyWBaAHhCRD4W0AB/83gDwIECBAgcK+AAr7X220ECGQLSE/gfwEF/D+FHwgQIECAwH0CCvg+azcRIEAgW0D6LwIK+AuHfxAgQIAAgXsEFPA9zm4hQIAAgWyBb+kV8DcSHxAgQIAAgfkCCni+sRsIECBAgMA3gagC/pbeBwQIECBAoEhAARfBu5YAAQIEsgUUcMz+BSVAgACBlQQU8ErbMAsBAgQIxAgo4JhVZweVngABAqsJKODVNmIeAgQIEIgQUMARaxYyW0B6AgRWFFDAK27FTAQIECCwvYAC3n7FAhLIFpCewKoCCnjVzZiLAAECBLYWUMBbr1c4AgSyBaRfWUABr7wdsxEgQIDAtgIKeNvVCkaAAIFsgdXTK+DVN2Q+AgQIENhSQAFvuVahCBAgQGB1gbkFvHp68xEgQIAAgSIBBVwE71oCBAgQyBZQwPP272QCBAgQIPBQQAE/pPEFAQIECBCYJ6CA59lmnyw9AQIECDwVUMBPeXxJgAABAgTmCCjgOa5OzRaQngABAi8FFPBLIg8QIECAAIHxAgp4vKkTCWQLSE+AwFsCCvgtJg8RIECAAIGxAgp4rKfTCBDIFpCewNsCCvhtKg8SIECAAIFxAgp4nKWTCBAgkC0g/SEBBXyIy8MECBAgQGCMgAIe4+gUAgQIEMgWOJxeAR8m8wIBAgQIELguoICvGzqBAAECBAgcFtiqgA+n9wIBAgQIECgSUMBF8K4lQIAAgWwBBbzN/gUhQIAAgU4CCrjTtsxKgAABAtsIKOBtVpkdRHoCBAh0E1DA3TZmXgIECBDYQkABb7FGIbIFpCdAoKOAAu64NTMTIECAQHsBBdx+hQIQyBaQnkBXAQXcdXPmJkCAAIHWAgq49foMT4BAtoD0nQUUcOftmZ0AAQIE2goo4LarMzgBAgSyBbqnV8DdN2h+AgQIEGgpoIBbrs3QBAgQINBd4FoBd09vfgIECBAgUCSggIvgXUuAAAEC2QIK+Pz+vUmAAAECBE4LKODTdF4kQIAAAQLnBRTwebvsN6UnQIAAgUsCCvgSn5cJECBAgMA5AQV8zs1b2QLSEyBA4LKAAr5M6AACBAgQIHBcQAEfN/MGgWwB6QkQGCKggIcwOoQAAQIECBwTUMDHvDxNgEC2gPQEhgko4GGUDiJAgAABAu8LKOD3rTxJgACBbAHphwoo4KGcDiNAgAABAu8JKOD3nDxFgAABAtkCw9Mr4OGkDiRAgAABAq8FFPBrI08QIECAAIHhAq0KeHh6BxIgQIAAgSIBBVwE71oCBAgQyBZQwG32b1ACBAgQ2ElAAe+0TVkIECBAoI2AAm6zquxBpSdAgMBuAgp4t43KQ4AAAQItBBRwizUZMltAegIEdhRQwDtuVSYCBAgQWF5AAS+/IgMSyBaQnsCuAgp4183KRYAAAQJLCyjgpddjOAIEsgWk31lAAe+8XdkIECBAYFkBBbzsagxGgACBbIHd0yvg3TcsHwECBAgsKaCAl1yLoQgQIEBgd4HnBbx7evkIECBAgECRgAIugnctAQIECGQLKODH+/cNAQIECBCYJqCAp9E6mAABAgQIPBZQwI9tsr+RngABAgSmCijgqbwOJ0CAAAECPwso4J9dfJotID0BAgSmCyjg6cQuIECAAAEC3wUU8HcTnxDIFpCeAIFbBBTwLcwuIUCAAAECXwUU8FcP/yJAIFtAegK3CSjg26hdRIAAAQIEfgko4F8WfiJAgEC2gPS3CijgW7ldRoAAAQIE/hFQwP84+JMAAQIEsgVuT6+Abyd3IQECBAgQ+PhQwH4LCBAgQIBAgcBSBVyQ35UECBAgQKBEQAGXsLuUAAECBNIFFPAyvwEGIUCAAIEkAQWctG1ZCRAgQGAZAQW8zCqyB5GeAAECaQIKOG3j8hIgQIDAEgIKeIk1GCJbQHoCBBIFFHDi1mUmQIAAgXIBBVy+AgMQyBaQnkCqgAJO3bzcBAgQIFAqoIBL+V1OgEC2gPTJAgo4efuyEyBAgECZgAIuo3cxAQIEsgXS0yvg9N8A+QkQIECgREABl7C7lAABAgSyBT4+FHD6b4D8BAgQIFAioIBL2F1KgAABAukCyQWcvnv5CRAgQKBQQAEX4ruaAAECBHIFFHDq7uUmQIAAgVIBBVzK73ICBAgQSBVQwKmbz84tPQECBMoFFHD5CgxAgAABAokCCjhx6zJnC0hPgMASAgp4iTUYggABAgTSBBRw2sblJZAtID2BZQQU8DKrMAgBAgQIJAko4KRty0qAQLaA9EsJKOCl1mEYAgQIEEgRUMApm5aTAAEC2QLLpVfAy63EQAQIECCQIKCAE7YsIwECBAgsJ3BrAS+X3kAECBAgQKBIQAEXwbuWAAECBLIFFPBt+3cRAQIECBD4JaCAf1n4iQABAgQI3CaggG+jzr5IegIECBD4KqCAv3r4FwECBAgQuEVAAd/C7JJsAekJECDwXUABfzfxCQECBAgQmC6ggKcTu4BAtoD0BAj8LKCAf3bxKQECBAgQmCqggKfyOpwAgWwB6Qk8FlDAj218Q4AAAQIEpgko4Gm0DiZAgEC2gPTPBRTwcx/fEiBAgACBKQIKeAqrQwkQIEAgW+B1egX82sgTBAgQIEBguIACHk7qQAIECBAg8Fpg5wJ+nd4TBAgQIECgSEABF8G7lgABAgSyBRTwrvuXiwABAgSWFlDAS6/HcAQIECCwq4AC3nWz2bmkJ0CAwPICCnj5FRmQAAECBHYUUMA7blWmbAHpCRBoIaCAW6zJkAQIECCwm4AC3m2j8hDIFpCeQBsBBdxmVQYlQIAAgZ0EFPBO25SFAIFsAelbCSjgVusyLAECBAjsIqCAd9mkHAQIEMgWaJdeAbdbmYEJECBAYAcBBbzDFmUgQIAAgXYCQwu4XXoDEyBAgACBIgEFXATvWgIECBDIFlDAw/bvIAIECBAg8L6AAn7fypMECBAgQGCYgAIeRpl9kPQECBAgcExAAR/z8jQBAgQIEBgioICHMDokW0B6AgQIHBdQwMfNvEGAAAECBC4LKODLhA4gkC0gPQECv+uE6gAAAkNJREFU5wQU8Dk3bxEgQIAAgUsCCvgSn5cJEMgWkJ7AeQEFfN7OmwQIECBA4LSAAj5N50UCBAhkC0h/TUABX/PzNgECBAgQOCWggE+xeYkAAQIEsgWup1fA1w2dQIAAAQIEDgso4MNkXiBAgAABAtcFOhfw9fROIECAAAECRQIKuAjetQQIECCQLaCAu+7f3AQIECDQWkABt16f4QkQIECgq4AC7rq57LmlJ0CAQHsBBdx+hQIQIECAQEcBBdxxa2bOFpCeAIEtBBTwFmsUggABAgS6CSjgbhszL4FsAekJbCOggLdZpSAECBAg0ElAAXfallkJEMgWkH4rAQW81TqFIUCAAIEuAgq4y6bMSYAAgWyB7dIr4O1WKhABAgQIdBBQwB22ZEYCBAgQ2E7gUAFvl14gAgQIECBQJKCAi+BdS4AAAQLZAgr47f17kAABAgQIjBNQwOMsnUSAAAECBN4WUMBvU2U/KD0BAgQIjBVQwGM9nUaAAAECBN4SUMBvMXkoW0B6AgQIjBdQwONNnUiAAAECBF4KKOCXRB4gkC0gPQECcwQU8BxXpxIgQIAAgacCCvgpjy8JEMgWkJ7APAEFPM/WyQQIECBA4KGAAn5I4wsCBAhkC0g/V0ABz/V1OgECBAgQ+FFAAf/I4kMCBAgQyBaYn14Bzzd2AwECBAgQ+CaggL+R+IAAAQIECMwXWLmA56d3AwECBAgQKBJQwEXwriVAgACBbAEFvOr+zUWAAAECWwso4K3XKxwBAgQIrCrwJwAAAP//lVwoVAAAAAZJREFUAwDU5ALRcl29HAAAAABJRU5ErkJggg==This is for the dialogue between the sprites, this will tell the computer to guess again because the number was too high.This is for the dialogue between the sprites, this will tell the computer that it has guessed the users number correctly.This is for the dialogue between the sprites, this will tell the computer to guess again because the number was too low.yesBatCompStart GamenoStart GameThis button was created in Code.orgStart Number Guessing GameThis button was created in Code.orgInitially based off of "U5L1 - Reverse Number Guessing Game pg. 1" I changed code to make it mine.
Label item # 4 b; Procedure being called/usedfeedback for computer0That was fun!1number of guesses0End Reverse Guess GameyesBatCompguessesStart Number Guessing GamenoBatCompLabel #5; SelectionnoThis code was provided as starter code by my teacher(Jaime Mireles), The lesson was "U5L1 - Reverse Number Guessing Game pg. 1";
(*Label item # 3; is inside of this custom block*);
(*Label item # 4 a/b/c; inside of this custom block editor*);Label item # 6;
Iteration
Iteration used to make the bat's animation053012