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

test

LABEL 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.

Hello!12

1datamapmany

data lists

110i

121

cont

catchtag

cont

catchtag

Sprite

Takes a text string as input, and reports a new text string containing all but the first character of the input.

resulti2

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the first word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

Takes a text string as input, and reports a new text string containing all but the last letter of the input.

resulti1

Takes a text string as input, divides it into words treating one or more spaces as a word separator (only spaces count; punctuation is part of the word) and reports a text string containing all but the last word, with one space between words and no spaces at the beginning or end. (Note: consider using SENTENCE->LIST and processing the resulting list instead of doing recursion on sentences in text string form. List operations are faster.)

1 1 11 1

Takes a text string as input, and reports the last character in the string.

1 1

Takes a text string as input, and reports TRUE if the string has no characters in it of any kind, otherwise false.

Takes a text string as input, and reports TRUE if the input contains no characters other than spaces (therefore, no words when the string is considered as a sentence), otherwise FALSE.

output

mbvsfom,b,v,s,f,olaurenl,a,u,r,e,n