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#X obj 33 296 display;
#X text 119 238 <-- step value;
#X text 90 217 <-- upper bound;
#X text 60 194 <-- lower bound;
#X obj 13 261 #for 0 8 1;
#X obj 264 328 #print;
#X obj 314 288 display;
#X msg 264 198 0 0;
#X msg 369 244 1 1;
#X msg 326 223 4 4;
#X text 232 484 Upper bound;
#X text 232 506 Step value;
#X text 232 449 Lower bound. As with the other arguments \, they are
overwritten when another value is given.;
#X text 414 244 <-- step value (1);
#X text 373 222 <-- upper bound (2);
#X text 309 197 <-- lower bound (3);
#X text 26 38 When given scalar bounds \, works like a regular [for]
object plugged to a [#import] tuned for a Dim(size) where size is the
number of values produced by a bang to that [for].;
#X text 232 656 Sets the upper bound;
#X text 232 678 Sets the step value;
#X text 232 740 The result of the operation is a single dimension grid
in the case of scalar values and variable dimensions for vectors.;
#X obj 0 0 doc_h;
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#X text 232 568 activate object (send output);
#X text 232 590 Sets the lower bound and activate;
#X text 232 634 Sets the lower bound without activating;
#X text 26 84 When given vector bounds \, will work like any number
of [for] objects producing all possible combinations of their values
in the proper order. (try it below);
#X text 27 132 the formula for knowing the size of the output will
be is floor((to-from)/step).;
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#X text 232 612 the three arguments at once;
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#X text 11 177 With scalar bounds:;
#X text 262 178 With vector bounds:;
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#X obj 97 484 doc_m c1 grid;
#X obj 97 506 doc_m c2 grid;
#X obj 97 590 doc_m i0 grid;
#X obj 97 656 doc_m i1 grid;
#X obj 97 678 doc_m i2 grid;
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