Is there a need for an issue to be opened?
On Tue, May 12, 2015 at 10:59 PM Peter Brady <[email protected]> wrote: > Just tried: > > In [1]: from sympy import * > > In [3]: x,y = symbols("x y") > > In [11]: rhs = floor(Mod(floor(y/17)*2**(-17*floor(x)-Mod(floor(y),17)),2)) > > In [14]: s = "960 939 379 918 958 884 971 672 962 127 852 754 715 004 339 > 660 129 306 651 505 519 271 702 802 395 266 424 689 642 842 174 350 718 121 > 267 153 782 770 623 355 993 237 280 874 144 307 891 325 963 941 337 723 487 > 857 735 749 823 926 629 715 517 173 716 995 165 232 890 538 221 612 403 238 > 855 866 184 013 235 585 136 048 828 693 337 902 491 454 229 288 667 081 096 > 184 496 091 705 183 454 067 827 731 551 705 405 381 627 380 967 602 565 625 > 016 981 482 083 418 783 163 849 115 590 225 610 003 652 351 370 343 874 461 > 848 378 737 238 198 224 849 863 465 033 159 410 054 974 700 593 138 339 226 > 497 249 461 751 545 728 366 702 369 745 461 014 655 997 933 798 537 483 143 > 786 841 806 593 422 227 898 388 722 980 000 748 404 719".replace(" ", "") > > In [16]: k = S(s) > > In [17]: plot_ > plot_backends plot_implicit > > In [17]: plot_implicit(S(1/2) < rhs, (x, 0, 106), (y, k, k+17)) > /home/ptb/gitrepos/sympy/sympy/plotting/plot_implicit.py:84: UserWarning: > Adaptive meshing could not be applied to the expression. Using uniform > meshing. > warnings.warn("Adaptive meshing could not be applied to the" > > I then got a lot of errors that started with: > > --------------------------------------------------------------------------- > ValueError Traceback (most recent call last) > /home/ptb/gitrepos/sympy/sympy/plotting/experimental_lambdify.py in > __call__(self, *args) > 118 temp_args = (np.array(a, dtype=np.complex) for a in > args) > --> 119 results = self.vector_func(*temp_args) > 120 results = np.ma.masked_where( > > <string> in <lambda>(x0, x1) > > and ended with > > /home/ptb/gitrepos/sympy/sympy/sets/sets.py in __new__(cls, *args, > **kwargs) > 1684 evaluate = kwargs.get('evaluate', global_evaluate[0]) > 1685 if evaluate: > -> 1686 args = list(map(sympify, args)) > 1687 > 1688 if len(args) == 0: > > RuntimeError: maximum recursion depth exceeded > > > On Tuesday, May 12, 2015 at 11:22:14 AM UTC-6, Ondřej Čertík wrote: > >> On Tue, May 12, 2015 at 10:00 AM, Sumith 1896 <[email protected]> >> wrote: >> > Hi there, >> > I just happened to come across this very interesting formula known as >> > Tupper’s self-referential formula. >> > The wiki article says that is a formula defined by Jeff Tupper that, >> > when graphed in two dimensions at a very specific location in the >> plane, can >> > be “programmed” to visually reproduce the formula itself. >> > Matlab is capable to plot this. It was very interesting to see the >> plot. >> > Is our plotting module capable to plot this? >> > If yes, could you say how? >> >> >> Good question, we should be able to do it. I found more info about this: >> >> >> http://www.quora.com/How-did-Jeff-Tupper-come-up-with-his-%E2%80%9Cself-referential%E2%80%9D-formula >> >> With some other examples. >> >> Ondrej >> > -- > You received this message because you are subscribed to the Google Groups > "sympy" group. > To unsubscribe from this group and stop receiving emails from it, send an > email to [email protected]. > To post to this group, send email to [email protected]. > Visit this group at http://groups.google.com/group/sympy. > To view this discussion on the web visit > https://groups.google.com/d/msgid/sympy/e6b490d0-5d76-4f83-ac41-3c05cccb3a2a%40googlegroups.com > <https://groups.google.com/d/msgid/sympy/e6b490d0-5d76-4f83-ac41-3c05cccb3a2a%40googlegroups.com?utm_medium=email&utm_source=footer> > . > For more options, visit https://groups.google.com/d/optout. > -- You received this message because you are subscribed to the Google Groups "sympy" group. To unsubscribe from this group and stop receiving emails from it, send an email to [email protected]. To post to this group, send email to [email protected]. Visit this group at http://groups.google.com/group/sympy. To view this discussion on the web visit https://groups.google.com/d/msgid/sympy/CAFeyqwM_GfnfbOLLjX1E2rYCuEqUmKLHo3R1a2eHTFKL%2BOzRSQ%40mail.gmail.com. For more options, visit https://groups.google.com/d/optout.
