Text editor V2 (V1 isn't public) File uploads and downloads only work with js extensions! (editor mode only): - Click on "see code" (bottom left) - Click on settings icon (top left) - Enable javascript extensions Buttons: Upload (editor mode only): Upload a text file to edit. Download (editor mode only): Download the file. Delete: Clear the text. Settings (coming soon): Nothing yet. Keybinds: Copy line: Alt + c (ctrl + A-Z cant be detected) Paste: Alt + v (ctrl + A-Z cant be detected) Move lines: Alt + Arrow up/down Moving around: Arrow keys Insert tab (4 spaces): Tab Delete line: Delete Remove character: Backspace New line: Enter These notes where written inside this project and then exported and copied into here.data:image/png;base64,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Text editor V2 (V1 isn't public) File uploads and downloads only work with js extensions! (editor mode only): - Click on "see code" (bottom left) - Click on settings icon (top left) - Enable javascript extensions Buttons: Upload (editor mode only): Upload a text file to edit. Download (editor mode only): Download the file. Delete: Clear the text. Settings (coming soon): Nothing yet. Keybinds: Copy line: Alt + c (ctrl + A-Z cant be detected) Paste: Alt + v (ctrl + A-Z cant be detected) Move lines: Alt + Arrow up/down Moving around: Arrow keys Insert tab (4 spaces): Tab Delete line: Delete Remove character: Backspace New line: Enter These notes where written inside this project and then exported and copied into here.

Takes a table (typically from a CSV data set) as input and reports a summary of the table grouped by the field in the specified column number. The remaining three inputs are used only if the field values are numbers, in which case they can be grouped into buckets (e.g., decades, centuries, etc.). Those three inputs specify the smallest and largest values of interest and, most importantly, the width of a bucket (10 for decades, 100 for centuries). If the field isn't numeric, leave these three inputs empty or set them to zero. In that case, each string value of the field is its own bucket, and they appear sorted alphabetically. The block reports a new table with three columns. The first column contains the bucket name or smallest number. The second column contains a nonnegative integer that says how many records in the input table fall into this bucket. The third column is a subtable containing the actual records from the original table that fall into the bucket. If your buckets aren't of constant width, or you want to group by some function of more than one field, load the "Frequency Distribution Analysis" library instead.

ca:gràfica de la taula _ agrupada pel camp: _ des de: _ fins: _ interval: _ 1

110

add missing entries to a sorted list. Used for histograms

pt:os itens de _ com a chave _ entre _ e _ com passo _ completados por _ ca:gràfica omplint _ amb clau: _ des de: _ fins: _ interval: _ amb _ 11

pt:desenha gráfico de barras de _ em (x: _ , y: _ ) com largura _ e altura _ ca:dibuixa gràfic _ a x: _ y: _ amplada: _ alçada: _ -200-100400200If smallest value < 0, the x axis isn't at the bottom. Note that sort is by > not by <. Not clear this can happen in a histogram!max y1ratio1label delta y5010step2190draw x axis at y=00draw y axis902012i15Ready to draw bars.2data90

ca:ordena taula _ pel camp _ en ordre _ ascending descending

ca:agrupa taula _ pel camp _ per intervals de _

current

This 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 _ pl:utwórz zmienną _ _ globalglobal sprite script

This 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 _ pl:usuń zmienną _

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 _ pl:ustaw zmienną _ na _ §_getVarNamesDict

This 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 _ pl:zmienna _ §_getVarNamesDict

This 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 _ ? pl:zmienna _ istnieje? err_reset

This 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 _ pl:pokaż zmienną _ §_getVarNamesDict

This 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 _ pl:ukryj zmienną _ §_getVarNamesDict

pt:o texto multilinha _ ca:multilínia _ pl:wielowiersz _

Reports the part of the first string up to the first instance of the second string inside it. If the second string isn't found, reports the entire first string.

pt:o texto de _ antes de _ ca:part del text _ anterior a _ pl:podciąg _ przed _

Reports the portion of the first input string starting after the first occurrence of the second string. If the second string isn't found in the first string, reports an empty string.

pt:o texto de _ depois de _ ca:part del text _ posterior a _ pl:podciąg _ po _

Reports the character position (starting from 1) of the beginning of the first input string inside the second input string. If it's not found, reports 0.

pt:a posição de _ em _ ca:posició de _ en _ pl:pozycja _ w _

Reports the portion of the first input (string) starting at the position given by the second input (counting from 1, like LETTER n OF) and ending at the position given by the third input (also counting from 1). If the third input is empty, reports the portion from the first position to the end of the string. If a position number is negative, counts from the end backward, so -1 is the last character, -2 is the next to last, etc.

pt:o texto de _ entre as posições _ e _ , inclusive ca:part del text _ des de la posició _ fins _ pl:podciąg _ od pozycji _ do pozycji _ włącznie

Reports True if the first input string contains the second input string, otherwise false. Comparison is case-independent by default; use USE CASE-INDEPENDENT COMPARISONS to change that.

pt:o texto de _ antes de _ ca:text _ conté _ ? pl:tekst _ zawiera _

rgba(145,26,68,1)

left_x

top_y

fdl_temp_color

fdl_temp_thickness

fdl_temp_x

fdl_temp_y

rgba(145,26,68,1)

fdl_temp_color

fdl_temp_thickness

fdl_temp_rot

fdl_temp_x

fdl_temp_y

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 random,import time,import os,,def clear():," os.system(""clear"")",,def wait(amount):, time.sleep(amount),,"def randomnum(min,max):"," return random.randint(min,max)",,while True:," correct_number = randomnum(0,100)"," guess = int(input(""Enter a number:""))", if guess == correct_number:," print(""correct geuss"")", else:," print(""Incorrect geuss, try again"")", wait(1), clear()14110If you see this;,Something went wrong when loading your file,(maybe you dont have javascript extensions enabled),(editor mode only)0true0,0,0,10 time.sleep(amount) clear()