data:image/png;base64,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data:image/png;base64,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extra credit: Add better visual confirmation here!EXAMPLES:
These tester blocks take in a reporter -- something that you want to test.
The inputs are what you would want to pass into the reporter as a test.
The output is what you expect the reporter to output when passed in the input(s).
The block will report a Boolean based on whether your test passed.
Note: You must leave the inputs to the block you are testing empty.From lab: fill in two of your own tests for the "merge column up" block. Refer to our tests of "item of" and "+" above to remember how to deal with "merge column up" needing multiple inputs.From lab: Fill in what the output should be for the following test case for "merge up". In Proj3, you'll add more of your own "merge up" test cases.==============================================
These are your graded test cases!
For four out of five of the required blocks, you must have 2 different sets of input and expected output. This means you should have a total of 8 tests below, 2 for each block you test.
Additionally, each function should have a brief comment explaining why each test case
is good / useful.
You are more than welcome to add as many tests as you like, for additional blocks, as long as you meet the requirements above.
We strongly recommend that you write tests BEFORE each block!! If you're doing the testing extra credit, (see spec), your extra credit tests should go in this sprite.For you to fill out! The following is simply starter code.resultFor you to fill out! The following is simply starter code.For you to fill out! The following is simply starter code.This is a game board which is expected to be square.This creates a new empty board of n by n tiles4This is just like the ITEM OF block, but for our game board. You don't need to know how it works.This is just like the REPLACE block, but for our game board. You don't need to know how it works.This returns a new distinct copy of the input board which will help prevent you from accidentally reseting list items. The block reports the score of an individual tile.This block takes in a function and two "sets" of items.
The first are the INPUTS to the function. These must be a list whos length is equal to the number of inputs in the function.
The OUTPUTS should be the same type as the output of the function.
There must be the same number of inputs and outputs.inoutReturns a list of locations in board which are empty. The locations are length 2 lists as [row, col].1datamapmany1data listsSpriteSpriteLABEL will stamp text on the stage at the given font size. The direction of the text is the direction the sprite is facing, and color will match the pen color.de:drucke _ in Größe _
ca:etiqueta _ de mida _
es:etiqueta _ de tamaño _
fr:étiquette _ d'une taille de _
Hello!12de:ist _ leer?
ca:_ buida?
es:_ vacía?
fr:_ vide?
de:behalte Elemente, die _ aus _
ca:manté els elements on _ de _
es:mantener los elementos donde _ de _
fr:garder les items tels que _ de _
1de:kombiniere mit _ die Elemente von _
ca:combina amb _ els elements de _
es:combinar con _ los elementos de _
fr:combine avec _ les items de _
1de:füge Wörter zusammen _
ca:uneix les paraules _
es:unir las palabras _
fr:fusionne les mots _
121de:Liste $arrowRight Satz _
ca:llista $arrowRight frase _
es:lista $arrowRight frase _
fr:liste $arrowRight phrase _
de:Satz $arrowRight Liste _
ca:frase $arrowRight llista _
es:frase $arrowRight lista _
fr:phrase $arrowRight liste _
de:für jedes _ von _ _
ca:per cada _ de _ _
es:para cada _ de _ _
fr:pour chaque _ de _ _
de:Wort $arrowRight Liste _
ca:paraula $arrowRight llista _
es:palabra $arrowRight lista _
fr:mot $arrowRight liste _
de:Liste $arrowRight Wort _
ca:llista $arrowRight paraula _
es:lista $arrowRight palabra _
fr:liste $arrowRight mot _
de:Zahlen von _ bis _
ca:nombres des de _ a _
es:números de _ a _
fr:nombres de _ à _
1101de:wende _ an auf _
ca:mapeja _ sobre _
es:mapear _ sobre _
fr:appliquer _ à _
1de:für _ = _ bis _ _
ca:per _ = _ fins _ _
es:para _ = _ hasta _ _
fr:pour _ allant de _ à _ _
110ide:wenn _ dann _ sonst _
ca:si _ llavors _ si no _
es:si _ entonces _ sino _
fr:si _ alors _ sinon _
SpriteSpritede:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
cont3de:wirf _
ca:llança _
es:lanzar _
fr:lance _
catchtagde:fange _ _
ca:agafa _ _
es:atrapar _ _
fr:attrape _ _
contde:wirf _ _
ca:llança _ _
es:lanzar _ _
fr:lance _ _
catchtagde: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
de:ignoriere _
ca:ignora _
es:ignorar _
fr:ignore _
For you to fill out! The following is simply starter code.141142143resultFor you to fill out! The following is simply starter code.resultresult8,16,2,02,32,16,04,16,4,02,8,2,84true-122608,16,2,82,32,16,04,16,4,02,8,2,0