Upgrade giac to 1.6.0-47 #30537

In Debian we already have giac 1.6.0-7 and one doctest either times out or segfaults. If it does not time out it looks as below. With the giac 1.5.0-87 Debian package the test works fine.

sage -t --long --random-seed=0 sage/src/sage/rings/polynomial/multi_polynomial_ideal.py
**********************************************************************
File "sage/src/sage/rings/polynomial/multi_polynomial_ideal.py", line 2101, in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
Failed example:
    I.elimination_ideal([t, s], algorithm="giac") == J
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3/dist-packages/sage/doctest/forker.py", line 720, in _run
        self.compile_and_execute(example, compiler, test.globs)
      File "/usr/lib/python3/dist-packages/sage/doctest/forker.py", line 1145, in compile_and_execute
        exec(compiled, globs)
      File "<doctest sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal[3]>", line 1, in <module>
        I.elimination_ideal([t, s], algorithm="giac") == J
      File "/usr/lib/python3/dist-packages/sage/rings/qqbar_decorators.py", line 96, in wrapper
        return func(*args, **kwds)
      File "/usr/lib/python3/dist-packages/sage/rings/polynomial/multi_polynomial_ideal.py", line 2140, in elimination_ideal
        return groebner_basis_libgiac(
      File "/usr/lib/python3/dist-packages/sage/libs/giac/__init__.py", line 118, in wrapper
        return func(*args, **kwds)
      File "/usr/lib/python3/dist-packages/sage/libs/giac/__init__.py", line 357, in groebner_basis
        gb_giac = F.eliminate(list(elim_variables))
      File "sage/libs/giac/auto-methods.pxi", line 4884, in sage.libs.giac.giac.GiacMethods_base.eliminate (build/cythonized/sage/libs/giac/giac.cpp:45483)
        return GiacMethods['eliminate'](self,*args)
      File "sage/libs/giac/giac.pyx", line 2085, in sage.libs.giac.giac.GiacFunction.__call__ (build/cythonized/sage/libs/giac/giac.cpp:152928)
        sig_on()
    cysignals.signals.SignalError: Segmentation fault
**********************************************************************
File "sage/src/sage/rings/polynomial/multi_polynomial_ideal.py", line 2127, in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
Failed example:
    I.elimination_ideal([t, s], algorithm="giac") == J
Exception raised:
    Traceback (most recent call last):
      File "/usr/lib/python3/dist-packages/sage/doctest/forker.py", line 720, in _run
        self.compile_and_execute(example, compiler, test.globs)
      File "/usr/lib/python3/dist-packages/sage/doctest/forker.py", line 1145, in compile_and_execute
        exec(compiled, globs)
      File "<doctest sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal[7]>", line 1, in <module>
        I.elimination_ideal([t, s], algorithm="giac") == J
      File "/usr/lib/python3/dist-packages/sage/rings/qqbar_decorators.py", line 160, in wrapper
        return reverse_map(func(*args, **kwds))
      File "/usr/lib/python3/dist-packages/sage/rings/polynomial/multi_polynomial_ideal.py", line 2140, in elimination_ideal
        return groebner_basis_libgiac(
      File "/usr/lib/python3/dist-packages/sage/libs/giac/__init__.py", line 118, in wrapper
        return func(*args, **kwds)
      File "/usr/lib/python3/dist-packages/sage/libs/giac/__init__.py", line 357, in groebner_basis
        gb_giac = F.eliminate(list(elim_variables))
      File "sage/libs/giac/auto-methods.pxi", line 4884, in sage.libs.giac.giac.GiacMethods_base.eliminate (build/cythonized/sage/libs/giac/giac.cpp:45483)
        return GiacMethods['eliminate'](self,*args)
      File "sage/libs/giac/giac.pyx", line 2085, in sage.libs.giac.giac.GiacFunction.__call__ (build/cythonized/sage/libs/giac/giac.cpp:152928)
        sig_on()
    cysignals.signals.SignalError: Segmentation fault
**********************************************************************
1 item had failures:
   2 of   9 in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
    [920 tests, 2 failures, 7.85 s]
----------------------------------------------------------------------
sage -t --long --random-seed=0 sage/src/sage/rings/polynomial/multi_polynomial_ideal.py  # 2 doctests failed

kiwifb · 2020-09-10T00:28:35Z

comment:6

1.6.0-17 is out. And my goodness they finally moved from configure.in to configure.ac.

mkoeppe · 2020-09-10T18:58:22Z

comment:7

After the update, it should be checked whether the workarounds for underlinked libgiac on Cygwin (#30396) are still necessary.

mkoeppe · 2020-09-11T16:39:05Z

Branch: u/mkoeppe/upgrade_giac_to_1_6_0_17

mkoeppe · 2020-09-11T16:41:37Z

comment:9

Build fails on macOS with

[giac-1.6.0.17p0] /bin/bash: hevea: command not found

Hoping that upstream can improve the autoconf tests a bit by the time that we are ready to do the giac 1.6 upgrade in the Sage 9.3 cycle.

We also have a number of patches in build/pkgs/giac/patches that can hopefully be upstreamed...

New commits:

`2748bd1`	`build/pkgs/giac: Upgrade to 1.6.0-17`

mkoeppe · 2020-09-11T16:41:37Z

Commit: 2748bd1

slel · 2020-09-11T17:22:41Z

comment:10

Replying to @mkoeppe:

We also have a number of patches in build/pkgs/giac/patches that can hopefully be upstreamed...

To browse them online, see for instance one of these:

kiwifb · 2020-09-12T01:56:33Z

comment:11

I have a failure when I ran the testsuite on Gentoo

======================================
   giac 1.6.0: check/test-suite.log
======================================

# TOTAL: 30
# PASS:  29
# SKIP:  0
# XFAIL: 0
# FAIL:  1
# XPASS: 0
# ERROR: 0

.. contents:: :depth: 2

FAIL: chk_fhan11
================

// Using locale /usr/share/locale/
// C
// /usr/share/locale/
// giac
// UTF-8
// Maximum number of parallel threads 8
// Giac share root-directory:/usr/share/giac/
// Unable to find keyword file /usr/share/giac/doc/en/keywords
// Giac share root-directory:/usr/share/giac/
Help file /usr/share/giac/doc/en/aide_cas not found
Added 0 synonyms
// Giac share root-directory:/usr/share/giac/
============== restarted ===============
// Time 0
// Time 0
// Time 0
// Time 0.16
  ***   deep recursion.  ***   bug in PARI/GP (Segmentation Fault), please report.terminate called after throwing an instance of 'std::runtime_error'
  what():  Error in PARI subsystem Error: Bad Argument Value
./chk_fhan11: line 3: 1689152 Aborted                 (core dumped) ../src/icas TP11-sol.cas > TP11.tst
5c5,71

I think it is a bit concerning.

kiwifb · 2020-09-12T02:04:58Z

comment:12

And by the way, this is the same test for which we already have a small patch for test results with pari 2.11+ https://github.com/sagemath/sage-prod/blob/develop/build/pkgs/giac/patches/pari_2_11.patch

kiwifb · 2020-09-16T01:20:13Z

comment:13

1.6.0-23 is out. The problematic test is still there for me.

sagetrac-parisse · 2020-09-16T08:44:12Z

comment:14

Can you reproduce the same crash with 1 thread (export GIAC_THREADS=1)

kiwifb · 2020-09-16T08:47:29Z

comment:15

I am not using a threaded pari.

ldd -r /usr/lib64/libpari-gmp.so.2.11.4
	linux-vdso.so.1 (0x00007ffd9692f000)
	libc.so.6 => /lib64/libc.so.6 (0x00007f041aa37000)
	libm.so.6 => /lib64/libm.so.6 (0x00007f041a903000)
	libgmp.so.10 => /usr/lib64/libgmp.so.10 (0x00007f041a88a000)
	libdl.so.2 => /lib64/libdl.so.2 (0x00007f041a884000)
	/lib64/ld-linux-x86-64.so.2 (0x00007f041b499000)

sagetrac-parisse · 2020-09-16T09:14:35Z

comment:16

But maybe it's a bug in giac despite the error message. I don't get a crash in a xubuntu 20.04 VM with 1 thread (pari version is 2.11.2)

kiwifb · 2020-09-16T09:27:32Z

comment:17

coredump

(gdb) bt full
#0  0x00007f29867019b1 in raise () from /lib64/libc.so.6
No symbol table info available.
#1  0x00007f29866eb537 in abort () from /lib64/libc.so.6
No symbol table info available.
#2  0x00007f2986a728ce in __gnu_cxx::__verbose_terminate_handler () at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libstdc++-v3/libsupc++/vterminate.cc:95
        terminating = true
        t = <optimized out>
#3  0x00007f2986aa1766 in __cxxabiv1::__terminate (handler=<optimized out>) at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libstdc++-v3/libsupc++/eh_terminate.cc:48
No locals.
#4  0x00007f2986aa0789 in __cxa_call_terminate (ue_header=ue_header@entry=0x7f293c001c50) at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libstdc++-v3/libsupc++/eh_call.cc:54
        xh = 0x7f293c001c00
#5  0x00007f2986aa1152 in __cxxabiv1::__gxx_personality_v0 (version=<optimized out>, actions=6, exception_class=5138137972254386944, ue_header=0x7f293c001c50, context=<optimized out>)
    at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libstdc++-v3/libsupc++/eh_personality.cc:685
        found_type = <optimized out>
        info = {Start = 139816357623189, LPStart = 139816357122513, ttype_base = 139816357623168, TType = 0x7f2986892230 <uw_frame_state_for+672> "1\300H\203\304([]A\\A]A^A_\303\017\037\200", 
          action_table = 0x0, ttype_encoding = 24 '\030', call_site_encoding = 146 '\222'}
        language_specific_data = <optimized out>
        action_record = <optimized out>
        p = <optimized out>
        landing_pad = <optimized out>
        ip = <optimized out>
        handler_switch_value = <optimized out>
        thrown_ptr = 0x0
        foreign_exception = <optimized out>
        ip_before_insn = 0
        xh = 0x7f293c001c00
#6  0x00007f298689341f in _Unwind_RaiseException_Phase2 (exc=0x7f293c001c50, context=0x7f29430d9530, frames_p=0x7f29430d9438)
    at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libgcc/unwind.inc:64
        fs = {regs = {reg = {{loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, 
                how = REG_UNSAVED}, {loc = {reg = 18446744073709551560, offset = -56, exp = 0xffffffffffffffc8 <error: Cannot access memory at address 0xffffffffffffffc8>}, 
                how = REG_SAVED_OFFSET}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {
                  reg = 18446744073709551568, offset = -48, exp = 0xffffffffffffffd0 <error: Cannot access memory at address 0xffffffffffffffd0>}, how = REG_SAVED_OFFSET}, {loc = {reg = 0, 
                  offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {
                  reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}, {loc = {reg = 18446744073709551576, offset = -40, 
                  exp = 0xffffffffffffffd8 <error: Cannot access memory at address 0xffffffffffffffd8>}, how = REG_SAVED_OFFSET}, {loc = {reg = 18446744073709551584, offset = -32, 
                  exp = 0xffffffffffffffe0 <error: Cannot access memory at address 0xffffffffffffffe0>}, how = REG_SAVED_OFFSET}, {loc = {reg = 18446744073709551592, offset = -24, 
                  exp = 0xffffffffffffffe8 <error: Cannot access memory at address 0xffffffffffffffe8>}, how = REG_SAVED_OFFSET}, {loc = {reg = 18446744073709551600, offset = -16, 
                  exp = 0xfffffffffffffff0 <error: Cannot access memory at address 0xfffffffffffffff0>}, how = REG_SAVED_OFFSET}, {loc = {reg = 18446744073709551608, offset = -8, 
                  exp = 0xfffffffffffffff8 <error: Cannot access memory at address 0xfffffffffffffff8>}, how = REG_SAVED_OFFSET}, {loc = {reg = 0, offset = 0, exp = 0x0}, how = REG_UNSAVED}}, 
            prev = 0x0, cfa_offset = 160, cfa_reg = 7, cfa_exp = 0x0, cfa_how = CFA_REG_OFFSET}, pc = 0x7f298769b700 <giac::pari_isprime(giac::gen const&, int) [clone .cold]>, 
          personality = 0x7f2986aa0eb0 <__cxxabiv1::__gxx_personality_v0(int, _Unwind_Action, _Unwind_Exception_Class, _Unwind_Exception*, _Unwind_Context*)>, data_align = -8, code_align = 1, 
          retaddr_column = 16, fde_encoding = 27 '\033', lsda_encoding = 27 '\033', saw_z = 1 '\001', signal_frame = 0 '\000', eh_ptr = 0x0}
        match_handler = 4
        code = _URC_NO_REASON
        frames = 2
#7  0x00007f2986893e05 in _Unwind_Resume (exc=0x7f293c001c50) at /dev/shm/portage/sys-devel/gcc-10.2.0-r1/work/gcc-10.2.0/libgcc/unwind.inc:241
        this_context = {reg = {0x7f29430d9628, 0x7f29430d9630, 0x0, 0x7f29430d9638, 0x0, 0x0, 0x7f29430d9660, 0x0, 0x0, 0x0, 0x0, 0x0, 0x7f29430d9640, 0x7f29430d9648, 0x7f29430d9650, 
            0x7f29430d9658, 0x7f29430d9668, 0x0}, cfa = 0x7f29430d9670, ra = 0x7f298769b700 <giac::pari_isprime(giac::gen const&, int) [clone .cold]>, lsda = 0x0, bases = {tbase = 0x0, 
            dbase = 0x0, func = 0x7f2986893cd0 <_Unwind_Resume>}, flags = 4611686018427387904, version = 0, args_size = 0, by_value = '\000' <repeats 17 times>}
        cur_context = {reg = {0x7f29430d9628, 0x7f29430d9630, 0x0, 0x7f29430d96d8, 0x0, 0x0, 0x7f29430d96e0, 0x0, 0x0, 0x0, 0x0, 0x0, 0x7f29430d96e8, 0x7f29430d96f0, 0x7f29430d9650, 
            0x7f29430d9658, 0x7f29430d96f8, 0x0}, cfa = 0x7f29430d9700, ra = 0x7f298769b713 <giac::pari_isprime(giac::gen const&, int) [clone .cold]+19>, lsda = 0x7f2988620a01, bases = {
            tbase = 0x0, dbase = 0x0, func = 0x7f298769b700 <giac::pari_isprime(giac::gen const&, int) [clone .cold]>}, flags = 4611686018427387904, version = 0, args_size = 0, 
          by_value = '\000' <repeats 17 times>}
        code = <optimized out>
        frames = 0
#8  0x00007f298769b700 in giac::gen2GEN(giac::gen const&, giac::dbgprint_vector<giac::gen> const&, giac::context const*) [clone .cold] ()
   from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#9  0x00007f298769b713 in giac::pari_isprime(giac::gen const&, int) [clone .cold] () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#10 0x00007f2988102a17 in giac::_is_prime(giac::gen const&, giac::context const*) () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#11 0x00007f298793da30 in giac::_isprime(giac::gen const&, giac::context const*) () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#12 0x00007f29880f5b76 in giac::unary_function_eval::operator()(giac::gen const&, giac::context const*) const ()
   from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#13 0x00007f2987a921dc in giac::symbolic::eval(int, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#14 0x00007f29881c2ed1 in giac::gen::in_eval(int, giac::gen&, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#15 0x00007f298790e595 in giac::_time(giac::gen const&, giac::context const*) () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#16 0x00007f29880f5b76 in giac::unary_function_eval::operator()(giac::gen const&, giac::context const*) const ()
   from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#17 0x00007f29880ef9c5 in giac::unary_function_ptr::operator()(giac::gen const&, giac::context const*) const ()
   from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#18 0x00007f2987a920e2 in giac::symbolic::eval(int, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#19 0x00007f29881c2ed1 in giac::gen::in_eval(int, giac::gen&, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#20 0x00007f2987a921be in giac::symbolic::eval(int, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#21 0x00007f29881c2ed1 in giac::gen::in_eval(int, giac::gen&, giac::context const*) const () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#22 0x00007f2987f57451 in giac::protectevalorevalf(giac::gen const&, int, bool, giac::context const*) ()
   from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#23 0x00007f2987f57852 in giac::protecteval(giac::gen const&, int, giac::context const*) () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#24 0x00007f2987d958e5 in giac::in_thread_eval(void*) () from /dev/shm/portage/sci-mathematics/giac-1.6.0.23/work/giac-1.6.0/src/.libs/libgiac.so.0
No symbol table info available.
#25 0x00007f2986cbee67 in start_thread () from /lib64/libpthread.so.0
No symbol table info available.
#26 0x00007f29867c1daf in clone () from /lib64/libc.so.6
No symbol table info available.

antonio-rojas · 2020-09-30T13:22:46Z

comment:18

I can no longer reproduce the crashes mentioned in comment:1 with 1.6.0-25. The tests still fail, though

sage -t --long --random-seed=0 /usr/lib/python3.8/site-packages/sage/rings/polynomial/multi_polynomial_ideal.py
**********************************************************************
File "/usr/lib/python3.8/site-packages/sage/rings/polynomial/multi_polynomial_ideal.py", line 2101, in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
Failed example:
    I.elimination_ideal([t, s], algorithm="giac") == J
Expected:
    ...
    Running a probabilistic check for the reconstructed Groebner basis...
    True
Got:
    // Giac share root-directory:/usr/share/giac/
    // Giac share root-directory:/usr/share/giac/
    Added 0 synonyms
    True
**********************************************************************
File "/usr/lib/python3.8/site-packages/sage/rings/polynomial/multi_polynomial_ideal.py", line 2127, in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
Failed example:
    I.elimination_ideal([t, s], algorithm="giac") == J
Expected:
    Running a probabilistic check for the reconstructed Groebner basis...
    True
Got:
    True
**********************************************************************
1 item had failures:
   2 of   9 in sage.rings.polynomial.multi_polynomial_ideal.?.elimination_ideal
    [920 tests, 2 failures, 7.13 s]
----------------------------------------------------------------------
sage -t --long --random-seed=0 /usr/lib/python3.8/site-packages/sage/rings/polynomial/multi_polynomial_ideal.py  # 2 doctests failed
----------------------------------------------------------------------

kiwifb · 2020-09-30T18:57:53Z

comment:19

I still have the crash in giac's testsuite with 1.6.0.25.

antonio-rojas · 2020-09-30T19:10:41Z

comment:20

Replying to @kiwifb:

I still have the crash in giac's testsuite with 1.6.0.25.

I can't reproduce that one. I only have one test failure in the TP11 test suite (the already known failure mentioned in comment:12)

kiwifb · 2020-09-30T19:11:55Z

comment:21

Replying to @antonio-rojas:

Replying to @kiwifb:

I still have the crash in giac's testsuite with 1.6.0.25.

I can't reproduce that one. I only have one test failure in the TP11 test suite that seems like a mistake in the expected result to me.

Is your pari using threads?

antonio-rojas · 2020-09-30T19:15:31Z

comment:22

Replying to @kiwifb:

Is your pari using threads?

Yes

kiwifb · 2020-09-30T20:30:05Z

comment:23

Replying to @kiwifb:

Replying to @antonio-rojas:

Replying to @kiwifb:

I still have the crash in giac's testsuite with 1.6.0.25.

I can't reproduce that one. I only have one test failure in the TP11 test suite that seems like a mistake in the expected result to me.

Is your pari using threads?

What do you know. You now need to have pari compiled with threads for that test to pass - and probably some specific calls to pari too.

dimpase · 2020-11-06T10:09:21Z

comment:24

merge failed

mkoeppe · 2020-11-09T18:07:25Z

comment:25

See #30868 for an issue with giac 1.6 that has affected Fedora packaging

jamesjer · 2020-11-10T19:32:30Z

comment:26

We seem to have stumbled across the issue mentioned in comment 23: with giac >= 1.6.0-25 a threaded pari is necessary.

mkoeppe · 2021-02-23T01:23:43Z

comment:91

Replying to @kiwifb:

do we still support some 1.5.0?

I think we should

kiwifb · 2021-02-23T04:45:21Z

comment:92

OK, the real issues between the two are the doctests in sage/interfaces/giac.py. There was a comment in #30537 about using giac.with_sqrt(0) but it doesn't work (looks like a no-op at this stage).

A different test should fix this. The formatting is problematic.

sagetrac-git · 2021-02-23T08:57:58Z

Branch pushed to git repo; I updated commit sha1. New commits:

`db1fcfd`	`Factorization examples working with 15.0 and 1.6.0`

sagetrac-git · 2021-02-23T08:57:58Z

Changed commit from 6132c9a to db1fcfd

kiwifb · 2021-02-23T09:06:43Z

comment:94

OK, so the last bit of difference seems to be that internal representation in giac has changed. Looking at the larger context of the doctest

    def eval(self, code, strip=True, **kwds):
        r"""
        Send the code x to the Giac interpreter.
        Remark: To enable multi-lines codes in the notebook magic mode: ``%giac``,
        the ``\n`` are removed before sending the code to giac.
        INPUT:
        - code -- str
        - strip -- Default is True and removes ``\n``
        EXAMPLES::
            sage: giac.eval("2+2;\n3")
            '4,3'
            sage: giac.eval("2+2;\n3",False)
            '4\n3'
            sage: s='g(x):={\nx+1;\nx+2;\n}'
            sage: giac(s)
            (x)->[x+1,x+2]
            sage: giac.g(5)
            7
        """
        #we remove \n to enable multiline code in the notebook magic mode %giac

The line giac(s) doesn't really show anything that interesting and could be either removed or marked random.

sagetrac-git · 2021-02-23T09:12:08Z

Changed commit from db1fcfd to c702e45

sagetrac-git · 2021-02-23T09:12:08Z

Branch pushed to git repo; I updated commit sha1. New commits:

`c702e45`	`allow system giac-1.6.0`

mkoeppe · 2021-02-23T16:01:45Z

comment:96

Your changes look good to me

mkoeppe · 2021-02-23T16:01:45Z

Reviewer: ..., Matthias Koeppe

kiwifb · 2021-02-23T19:52:04Z

comment:97

OK, so for that last line which will differ between 1.5.0 and 1.6.0.

Pool:

[] remove it (my own vote)
[] mark it random

mkoeppe · 2021-02-23T19:56:06Z

comment:98

either way is fine with me, or make it ...x+1...x+2...

kiwifb · 2021-02-23T19:57:57Z

comment:99

That is a viable solution, I will do it now and then we can call it done.

sagetrac-git · 2021-02-23T20:16:08Z

Changed commit from c702e45 to f05720b

sagetrac-git · 2021-02-23T20:16:08Z

Branch pushed to git repo; I updated commit sha1. New commits:

`f05720b`	`make a doctest giac version independent`

kiwifb · 2021-02-23T20:17:28Z

Changed reviewer from ..., Matthias Koeppe to François Bissey, Matthias Koeppe

kiwifb · 2021-02-23T20:17:28Z

comment:101

I approve of your changes :) do we want an independent person to chime in?

mkoeppe · 2021-02-23T20:39:08Z

comment:102

I think we can set it to positive review

vbraun · 2021-03-05T20:53:17Z

comment:103

For the record, the giac testsuite fails on KuCalc (Debian 9 x86_64)

[...]
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0
// Time 0.03
// Time 0
// Total time 12.63
31c31
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35,36c35,36
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48,49c48,49
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---
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> [axes=3,pnt(pnt[line[0.0,5.0,5.0+0.0104*I,0.0104*I,0.0],1073741871]),pnt(pnt[group[0.0,0.0104*I],56]),pnt(pnt[group[0.0104*I,5.0+0.0104*I],56]),pnt(pnt[group[5.0+0.0104*I,5.0],56]),pnt(pnt[group[0.0,5.0],56]),pnt(pnt[line[5.0,10.0,10.0+0.0104*I,5.0+0.0104*I,5.0],1073741871]),pnt(pnt[group[5.0,5.0+0.0104*I],56]),pnt(pnt[group[5.0+0.0104*I,10.0+0.0104*I],56]),pnt(pnt[group[10.0+0.0104*I,10.0],56]),pnt(pnt[group[5.0,10.0],56]),pnt(pnt[line[10.0,15.0,15.0+0.0136*I,10.0+0.0136*I,10.0],1073741871]),pnt(pnt[group[10.0,10.0+0.0136*I],56]),pnt(pnt[group[10.0+0.0136*I,15.0+0.0136*I],56]),pnt(pnt[group[15.0+0.0136*I,15.0],56]),pnt(pnt[group[10.0,15.0],56]),pnt(pnt[line[15.0,20.0,20.0+0.0088*I,15.0+0.0088*I,15.0],1073741871]),pnt(pnt[group[15.0,15.0+0.0088*I],56]),pnt(pnt[group[15.0+0.0088*I,20.0+0.0088*I],56]),pnt(pnt[group[20.0+0.0088*I,20.0],56]),pnt(pnt[group[15.0,20.0],56]),pnt(pnt[line[20.0,25.0,25.0+0.0084*I,20.0+0.0084*I,20.0],1073741871]),pnt(pnt[group[20.0,20.0+0.0084*I],56]),pnt(pnt[group[20.0+0.0084*I,25.0+0.0084*I],56]),pnt(pnt[group[25.0+0.0084*I,25.0],56]),pnt(pnt[group[20.0,25.0],56]),pnt(pnt[line[25.0,30.0,30.0+0.0104*I,25.0+0.0104*I,25.0],1073741871]),pnt(pnt[group[25.0,25.0+0.0104*I],56]),pnt(pnt[group[25.0+0.0104*I,30.0+0.0104*I],56]),pnt(pnt[group[30.0+0.0104*I,30.0],56]),pnt(pnt[group[25.0,30.0],56]),pnt(pnt[line[30.0,35.0,35.0+0.0084*I,30.0+0.0084*I,30.0],1073741871]),pnt(pnt[group[30.0,30.0+0.0084*I],56]),pnt(pnt[group[30.0+0.0084*I,35.0+0.0084*I],56]),pnt(pnt[group[35.0+0.0084*I,35.0],56]),pnt(pnt[group[30.0,35.0],56]),pnt(pnt[line[35.0,40.0,40.0+0.0092*I,35.0+0.0092*I,35.0],1073741871]),pnt(pnt[group[35.0,35.0+0.0092*I],56]),pnt(pnt[group[35.0+0.0092*I,40.0+0.0092*I],56]),pnt(pnt[group[40.0+0.0092*I,40.0],56]),pnt(pnt[group[35.0,40.0],56]),pnt(pnt[line[40.0,45.0,45.0+0.0144*I,40.0+0.0144*I,40.0],1073741871]),pnt(pnt[group[40.0,40.0+0.0144*I],56]),pnt(pnt[group[40.0+0.0144*I,45.0+0.0144*I],56]),pnt(pnt[group[45.0+0.0144*I,45.0],56]),pnt(pnt[group[40.0,45.0],56]),pnt(pnt[line[45.0,50.0,50.0+0.01*I,45.0+0.01*I,45.0],1073741871]),pnt(pnt[group[45.0,45.0+0.01*I],56]),pnt(pnt[group[45.0+0.01*I,50.0+0.01*I],56]),pnt(pnt[group[50.0+0.01*I,50.0],56]),pnt(pnt[group[45.0,50.0],56]),pnt(pnt[line[50.0,55.0,55.0+0.008*I,50.0+0.008*I,50.0],1073741871]),pnt(pnt[group[50.0,50.0+0.008*I],56]),pnt(pnt[group[50.0+0.008*I,55.0+0.008*I],56]),pnt(pnt[group[55.0+0.008*I,55.0],56]),pnt(pnt[group[50.0,55.0],56]),pnt(pnt[line[55.0,60.0,60.0+0.0104*I,55.0+0.0104*I,55.0],1073741871]),pnt(pnt[group[55.0,55.0+0.0104*I],56]),pnt(pnt[group[55.0+0.0104*I,60.0+0.0104*I],56]),pnt(pnt[group[60.0+0.0104*I,60.0],56]),pnt(pnt[group[55.0,60.0],56]),pnt(pnt[line[60.0,65.0,65.0+0.0076*I,60.0+0.0076*I,60.0],1073741871]),pnt(pnt[group[60.0,60.0+0.0076*I],56]),pnt(pnt[group[60.0+0.0076*I,65.0+0.0076*I],56]),pnt(pnt[group[65.0+0.0076*I,65.0],56]),pnt(pnt[group[60.0,65.0],56]),pnt(pnt[line[65.0,70.0,70.0+0.008*I,65.0+0.008*I,65.0],1073741871]),pnt(pnt[group[65.0,65.0+0.008*I],56]),pnt(pnt[group[65.0+0.008*I,70.0+0.008*I],56]),pnt(pnt[group[70.0+0.008*I,70.0],56]),pnt(pnt[group[65.0,70.0],56]),pnt(pnt[line[70.0,75.0,75.0+0.01*I,70.0+0.01*I,70.0],1073741871]),pnt(pnt[group[70.0,70.0+0.01*I],56]),pnt(pnt[group[70.0+0.01*I,75.0+0.01*I],56]),pnt(pnt[group[75.0+0.01*I,75.0],56]),pnt(pnt[group[70.0,75.0],56]),pnt(pnt[line[75.0,80.0,80.0+0.0112*I,75.0+0.0112*I,75.0],1073741871]),pnt(pnt[group[75.0,75.0+0.0112*I],56]),pnt(pnt[group[75.0+0.0112*I,80.0+0.0112*I],56]),pnt(pnt[group[80.0+0.0112*I,80.0],56]),pnt(pnt[group[75.0,80.0],56]),pnt(pnt[line[80.0,85.0,85.0+0.0108*I,80.0+0.0108*I,80.0],1073741871]),pnt(pnt[group[80.0,80.0+0.0108*I],56]),pnt(pnt[group[80.0+0.0108*I,85.0+0.0108*I],56]),pnt(pnt[group[85.0+0.0108*I,85.0],56]),pnt(pnt[group[80.0,85.0],56]),pnt(pnt[line[85.0,90.0,90.0+0.0096*I,85.0+0.0096*I,85.0],1073741871]),pnt(pnt[group[85.0,85.0+0.0096*I],56]),pnt(pnt[group[85.0+0.0096*I,90.0+0.0096*I],56]),pnt(pnt[group[90.0+0.0096*I,90.0],56]),pnt(pnt[group[85.0,90.0],56]),pnt(pnt[line[90.0,95.0,95.0+0.0088*I,90.0+0.0088*I,90.0],1073741871]),pnt(pnt[group[90.0,90.0+0.0088*I],56]),pnt(pnt[group[90.0+0.0088*I,95.0+0.0088*I],56]),pnt(pnt[group[95.0+0.0088*I,95.0],56]),pnt(pnt[group[90.0,95.0],56]),pnt(pnt[line[95.0,100.0,100.0+0.0116*I,95.0+0.0116*I,95.0],1073741871]),pnt(pnt[group[95.0,95.0+0.0116*I],56]),pnt(pnt[group[95.0+0.0116*I,100.0+0.0116*I],56]),pnt(pnt[group[100.0+0.0116*I,100.0],56]),pnt(pnt[group[95.0,100.0],56])],
51c51
< [pnt(pnt[line[0.0,1.0,1.0+0.25*I,0.25*I,0.0],56]),pnt(pnt[group[0.0,0.25*I],0]),pnt(pnt[group[0.25*I,1.0+0.25*I],0]),pnt(pnt[group[1.0+0.25*I,1.0],0]),pnt(pnt[group[0.0,1.0],0]),pnt(pnt[line[1.0,2.0,2.0+0.25*I,1.0+0.25*I,1.0],56]),pnt(pnt[group[1.0,1.0+0.25*I],0]),pnt(pnt[group[1.0+0.25*I,2.0+0.25*I],0]),pnt(pnt[group[2.0+0.25*I,2.0],0]),pnt(pnt[group[1.0,2.0],0]),pnt(pnt[line[2.0,3.0,3.0,2.0,2.0],56]),pnt(pnt[group[2.0,2.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[group[3.0,3.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[line[3.0,4.0,4.0,3.0,3.0],56]),pnt(pnt[group[3.0,3.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[group[4.0,4.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[line[4.0,5.0,5.0,4.0,4.0],56]),pnt(pnt[group[4.0,4.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[group[5.0,5.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[line[5.0,6.0,6.0,5.0,5.0],56]),pnt(pnt[group[5.0,5.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[group[6.0,6.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[line[6.0,7.0,7.0,6.0,6.0],56]),pnt(pnt[group[6.0,6.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[group[7.0,7.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[line[7.0,8.0,8.0+0.25*I,7.0+0.25*I,7.0],56]),pnt(pnt[group[7.0,7.0+0.25*I],0]),pnt(pnt[group[7.0+0.25*I,8.0+0.25*I],0]),pnt(pnt[group[8.0+0.25*I,8.0],0]),pnt(pnt[group[7.0,8.0],0]),pnt(pnt[line[8.0,9.0,9.0+0.25*I,8.0+0.25*I,8.0],56]),pnt(pnt[group[8.0,8.0+0.25*I],0]),pnt(pnt[group[8.0+0.25*I,9.0+0.25*I],0]),pnt(pnt[group[9.0+0.25*I,9.0],0]),pnt(pnt[group[8.0,9.0],0])],
---
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60,61c60,61
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---
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> [axes=3,pnt(pnt[line[0.0,5.0,5.0+0.004*I,0.004*I,0.0],1073741871]),pnt(pnt[group[0.0,0.004*I],56]),pnt(pnt[group[0.004*I,5.0+0.004*I],56]),pnt(pnt[group[5.0+0.004*I,5.0],56]),pnt(pnt[group[0.0,5.0],56]),pnt(pnt[line[5.0,10.0,10.0+0.012*I,5.0+0.012*I,5.0],1073741871]),pnt(pnt[group[5.0,5.0+0.012*I],56]),pnt(pnt[group[5.0+0.012*I,10.0+0.012*I],56]),pnt(pnt[group[10.0+0.012*I,10.0],56]),pnt(pnt[group[5.0,10.0],56]),pnt(pnt[line[10.0,15.0,15.0+0.0096*I,10.0+0.0096*I,10.0],1073741871]),pnt(pnt[group[10.0,10.0+0.0096*I],56]),pnt(pnt[group[10.0+0.0096*I,15.0+0.0096*I],56]),pnt(pnt[group[15.0+0.0096*I,15.0],56]),pnt(pnt[group[10.0,15.0],56]),pnt(pnt[line[15.0,20.0,20.0+0.02*I,15.0+0.02*I,15.0],1073741871]),pnt(pnt[group[15.0,15.0+0.02*I],56]),pnt(pnt[group[15.0+0.02*I,20.0+0.02*I],56]),pnt(pnt[group[20.0+0.02*I,20.0],56]),pnt(pnt[group[15.0,20.0],56]),pnt(pnt[line[20.0,25.0,25.0+0.008*I,20.0+0.008*I,20.0],1073741871]),pnt(pnt[group[20.0,20.0+0.008*I],56]),pnt(pnt[group[20.0+0.008*I,25.0+0.008*I],56]),pnt(pnt[group[25.0+0.008*I,25.0],56]),pnt(pnt[group[20.0,25.0],56]),pnt(pnt[line[25.0,30.0,30.0+0.012*I,25.0+0.012*I,25.0],1073741871]),pnt(pnt[group[25.0,25.0+0.012*I],56]),pnt(pnt[group[25.0+0.012*I,30.0+0.012*I],56]),pnt(pnt[group[30.0+0.012*I,30.0],56]),pnt(pnt[group[25.0,30.0],56]),pnt(pnt[line[30.0,35.0,35.0+0.01*I,30.0+0.01*I,30.0],1073741871]),pnt(pnt[group[30.0,30.0+0.01*I],56]),pnt(pnt[group[30.0+0.01*I,35.0+0.01*I],56]),pnt(pnt[group[35.0+0.01*I,35.0],56]),pnt(pnt[group[30.0,35.0],56]),pnt(pnt[line[35.0,40.0,40.0+0.012*I,35.0+0.012*I,35.0],1073741871]),pnt(pnt[group[35.0,35.0+0.012*I],56]),pnt(pnt[group[35.0+0.012*I,40.0+0.012*I],56]),pnt(pnt[group[40.0+0.012*I,40.0],56]),pnt(pnt[group[35.0,40.0],56]),pnt(pnt[line[40.0,45.0,45.0+0.02*I,40.0+0.02*I,40.0],1073741871]),pnt(pnt[group[40.0,40.0+0.02*I],56]),pnt(pnt[group[40.0+0.02*I,45.0+0.02*I],56]),pnt(pnt[group[45.0+0.02*I,45.0],56]),pnt(pnt[group[40.0,45.0],56]),pnt(pnt[line[45.0,50.0,50.0+0.0084*I,45.0+0.0084*I,45.0],1073741871]),pnt(pnt[group[45.0,45.0+0.0084*I],56]),pnt(pnt[group[45.0+0.0084*I,50.0+0.0084*I],56]),pnt(pnt[group[50.0+0.0084*I,50.0],56]),pnt(pnt[group[45.0,50.0],56]),pnt(pnt[line[50.0,55.0,55.0+0.004*I,50.0+0.004*I,50.0],1073741871]),pnt(pnt[group[50.0,50.0+0.004*I],56]),pnt(pnt[group[50.0+0.004*I,55.0+0.004*I],56]),pnt(pnt[group[55.0+0.004*I,55.0],56]),pnt(pnt[group[50.0,55.0],56]),pnt(pnt[line[55.0,60.0,60.0+0.018*I,55.0+0.018*I,55.0],1073741871]),pnt(pnt[group[55.0,55.0+0.018*I],56]),pnt(pnt[group[55.0+0.018*I,60.0+0.018*I],56]),pnt(pnt[group[60.0+0.018*I,60.0],56]),pnt(pnt[group[55.0,60.0],56]),pnt(pnt[line[60.0,65.0,65.0+0.006*I,60.0+0.006*I,60.0],1073741871]),pnt(pnt[group[60.0,60.0+0.006*I],56]),pnt(pnt[group[60.0+0.006*I,65.0+0.006*I],56]),pnt(pnt[group[65.0+0.006*I,65.0],56]),pnt(pnt[group[60.0,65.0],56]),pnt(pnt[line[65.0,70.0,70.0+0.014*I,65.0+0.014*I,65.0],1073741871]),pnt(pnt[group[65.0,65.0+0.014*I],56]),pnt(pnt[group[65.0+0.014*I,70.0+0.014*I],56]),pnt(pnt[group[70.0+0.014*I,70.0],56]),pnt(pnt[group[65.0,70.0],56]),pnt(pnt[line[70.0,75.0,75.0+0.01*I,70.0+0.01*I,70.0],1073741871]),pnt(pnt[group[70.0,70.0+0.01*I],56]),pnt(pnt[group[70.0+0.01*I,75.0+0.01*I],56]),pnt(pnt[group[75.0+0.01*I,75.0],56]),pnt(pnt[group[70.0,75.0],56]),pnt(pnt[line[75.0,80.0,80.0+0.008*I,75.0+0.008*I,75.0],1073741871]),pnt(pnt[group[75.0,75.0+0.008*I],56]),pnt(pnt[group[75.0+0.008*I,80.0+0.008*I],56]),pnt(pnt[group[80.0+0.008*I,80.0],56]),pnt(pnt[group[75.0,80.0],56]),pnt(pnt[line[80.0,85.0,85.0+0.006*I,80.0+0.006*I,80.0],1073741871]),pnt(pnt[group[80.0,80.0+0.006*I],56]),pnt(pnt[group[80.0+0.006*I,85.0+0.006*I],56]),pnt(pnt[group[85.0+0.006*I,85.0],56]),pnt(pnt[group[80.0,85.0],56]),pnt(pnt[line[85.0,90.0,90.0+0.006*I,85.0+0.006*I,85.0],1073741871]),pnt(pnt[group[85.0,85.0+0.006*I],56]),pnt(pnt[group[85.0+0.006*I,90.0+0.006*I],56]),pnt(pnt[group[90.0+0.006*I,90.0],56]),pnt(pnt[group[85.0,90.0],56]),pnt(pnt[line[90.0,95.0,95.0+0.006*I,90.0+0.006*I,90.0],1073741871]),pnt(pnt[group[90.0,90.0+0.006*I],56]),pnt(pnt[group[90.0+0.006*I,95.0+0.006*I],56]),pnt(pnt[group[95.0+0.006*I,95.0],56]),pnt(pnt[group[90.0,95.0],56]),pnt(pnt[line[95.0,100.0,100.0+0.006*I,95.0+0.006*I,95.0],1073741871]),pnt(pnt[group[95.0,95.0+0.006*I],56]),pnt(pnt[group[95.0+0.006*I,100.0+0.006*I],56]),pnt(pnt[group[100.0+0.006*I,100.0],56]),pnt(pnt[group[95.0,100.0],56])],
63c63
< [pnt(pnt[line[0.0,1.0,1.0+0.058*I,0.058*I,0.0],56]),pnt(pnt[group[0.0,0.058*I],0]),pnt(pnt[group[0.058*I,1.0+0.058*I],0]),pnt(pnt[group[1.0+0.058*I,1.0],0]),pnt(pnt[group[0.0,1.0],0]),pnt(pnt[line[1.0,2.0,2.0+0.12*I,1.0+0.12*I,1.0],56]),pnt(pnt[group[1.0,1.0+0.12*I],0]),pnt(pnt[group[1.0+0.12*I,2.0+0.12*I],0]),pnt(pnt[group[2.0+0.12*I,2.0],0]),pnt(pnt[group[1.0,2.0],0]),pnt(pnt[line[2.0,3.0,3.0+0.12*I,2.0+0.12*I,2.0],56]),pnt(pnt[group[2.0,2.0+0.12*I],0]),pnt(pnt[group[2.0+0.12*I,3.0+0.12*I],0]),pnt(pnt[group[3.0+0.12*I,3.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[line[3.0,4.0,4.0+0.072*I,3.0+0.072*I,3.0],56]),pnt(pnt[group[3.0,3.0+0.072*I],0]),pnt(pnt[group[3.0+0.072*I,4.0+0.072*I],0]),pnt(pnt[group[4.0+0.072*I,4.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[line[4.0,5.0,5.0+0.06*I,4.0+0.06*I,4.0],56]),pnt(pnt[group[4.0,4.0+0.06*I],0]),pnt(pnt[group[4.0+0.06*I,5.0+0.06*I],0]),pnt(pnt[group[5.0+0.06*I,5.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[line[5.0,6.0,6.0+0.05*I,5.0+0.05*I,5.0],56]),pnt(pnt[group[5.0,5.0+0.05*I],0]),pnt(pnt[group[5.0+0.05*I,6.0+0.05*I],0]),pnt(pnt[group[6.0+0.05*I,6.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[line[6.0,7.0,7.0+0.11*I,6.0+0.11*I,6.0],56]),pnt(pnt[group[6.0,6.0+0.11*I],0]),pnt(pnt[group[6.0+0.11*I,7.0+0.11*I],0]),pnt(pnt[group[7.0+0.11*I,7.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[line[7.0,8.0,8.0+0.14*I,7.0+0.14*I,7.0],56]),pnt(pnt[group[7.0,7.0+0.14*I],0]),pnt(pnt[group[7.0+0.14*I,8.0+0.14*I],0]),pnt(pnt[group[8.0+0.14*I,8.0],0]),pnt(pnt[group[7.0,8.0],0]),pnt(pnt[line[8.0,9.0,9.0+0.11*I,8.0+0.11*I,8.0],56]),pnt(pnt[group[8.0,8.0+0.11*I],0]),pnt(pnt[group[8.0+0.11*I,9.0+0.11*I],0]),pnt(pnt[group[9.0+0.11*I,9.0],0]),pnt(pnt[group[8.0,9.0],0]),pnt(pnt[line[9.0,10.0,10.0+0.16*I,9.0+0.16*I,9.0],56]),pnt(pnt[group[9.0,9.0+0.16*I],0]),pnt(pnt[group[9.0+0.16*I,10.0+0.16*I],0]),pnt(pnt[group[10.0+0.16*I,10.0],0]),pnt(pnt[group[9.0,10.0],0])],
---
> [axes=3,pnt(pnt[line[0.0,1.0,1.0+0.058*I,0.058*I,0.0],1073741871]),pnt(pnt[group[0.0,0.058*I],56]),pnt(pnt[group[0.058*I,1.0+0.058*I],56]),pnt(pnt[group[1.0+0.058*I,1.0],56]),pnt(pnt[group[0.0,1.0],56]),pnt(pnt[line[1.0,2.0,2.0+0.12*I,1.0+0.12*I,1.0],1073741871]),pnt(pnt[group[1.0,1.0+0.12*I],56]),pnt(pnt[group[1.0+0.12*I,2.0+0.12*I],56]),pnt(pnt[group[2.0+0.12*I,2.0],56]),pnt(pnt[group[1.0,2.0],56]),pnt(pnt[line[2.0,3.0,3.0+0.12*I,2.0+0.12*I,2.0],1073741871]),pnt(pnt[group[2.0,2.0+0.12*I],56]),pnt(pnt[group[2.0+0.12*I,3.0+0.12*I],56]),pnt(pnt[group[3.0+0.12*I,3.0],56]),pnt(pnt[group[2.0,3.0],56]),pnt(pnt[line[3.0,4.0,4.0+0.072*I,3.0+0.072*I,3.0],1073741871]),pnt(pnt[group[3.0,3.0+0.072*I],56]),pnt(pnt[group[3.0+0.072*I,4.0+0.072*I],56]),pnt(pnt[group[4.0+0.072*I,4.0],56]),pnt(pnt[group[3.0,4.0],56]),pnt(pnt[line[4.0,5.0,5.0+0.06*I,4.0+0.06*I,4.0],1073741871]),pnt(pnt[group[4.0,4.0+0.06*I],56]),pnt(pnt[group[4.0+0.06*I,5.0+0.06*I],56]),pnt(pnt[group[5.0+0.06*I,5.0],56]),pnt(pnt[group[4.0,5.0],56]),pnt(pnt[line[5.0,6.0,6.0+0.05*I,5.0+0.05*I,5.0],1073741871]),pnt(pnt[group[5.0,5.0+0.05*I],56]),pnt(pnt[group[5.0+0.05*I,6.0+0.05*I],56]),pnt(pnt[group[6.0+0.05*I,6.0],56]),pnt(pnt[group[5.0,6.0],56]),pnt(pnt[line[6.0,7.0,7.0+0.11*I,6.0+0.11*I,6.0],1073741871]),pnt(pnt[group[6.0,6.0+0.11*I],56]),pnt(pnt[group[6.0+0.11*I,7.0+0.11*I],56]),pnt(pnt[group[7.0+0.11*I,7.0],56]),pnt(pnt[group[6.0,7.0],56]),pnt(pnt[line[7.0,8.0,8.0+0.14*I,7.0+0.14*I,7.0],1073741871]),pnt(pnt[group[7.0,7.0+0.14*I],56]),pnt(pnt[group[7.0+0.14*I,8.0+0.14*I],56]),pnt(pnt[group[8.0+0.14*I,8.0],56]),pnt(pnt[group[7.0,8.0],56]),pnt(pnt[line[8.0,9.0,9.0+0.11*I,8.0+0.11*I,8.0],1073741871]),pnt(pnt[group[8.0,8.0+0.11*I],56]),pnt(pnt[group[8.0+0.11*I,9.0+0.11*I],56]),pnt(pnt[group[9.0+0.11*I,9.0],56]),pnt(pnt[group[8.0,9.0],56]),pnt(pnt[line[9.0,10.0,10.0+0.16*I,9.0+0.16*I,9.0],1073741871]),pnt(pnt[group[9.0,9.0+0.16*I],56]),pnt(pnt[group[9.0+0.16*I,10.0+0.16*I],56]),pnt(pnt[group[10.0+0.16*I,10.0],56]),pnt(pnt[group[9.0,10.0],56])],
72,73c72,73
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---
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> [axes=3,pnt(pnt[line[0.0,5.0,5.0+0.0096*I,0.0096*I,0.0],1073741871]),pnt(pnt[group[0.0,0.0096*I],56]),pnt(pnt[group[0.0096*I,5.0+0.0096*I],56]),pnt(pnt[group[5.0+0.0096*I,5.0],56]),pnt(pnt[group[0.0,5.0],56]),pnt(pnt[line[5.0,10.0,10.0+0.0072*I,5.0+0.0072*I,5.0],1073741871]),pnt(pnt[group[5.0,5.0+0.0072*I],56]),pnt(pnt[group[5.0+0.0072*I,10.0+0.0072*I],56]),pnt(pnt[group[10.0+0.0072*I,10.0],56]),pnt(pnt[group[5.0,10.0],56]),pnt(pnt[line[10.0,15.0,15.0+0.0088*I,10.0+0.0088*I,10.0],1073741871]),pnt(pnt[group[10.0,10.0+0.0088*I],56]),pnt(pnt[group[10.0+0.0088*I,15.0+0.0088*I],56]),pnt(pnt[group[15.0+0.0088*I,15.0],56]),pnt(pnt[group[10.0,15.0],56]),pnt(pnt[line[15.0,20.0,20.0+0.0088*I,15.0+0.0088*I,15.0],1073741871]),pnt(pnt[group[15.0,15.0+0.0088*I],56]),pnt(pnt[group[15.0+0.0088*I,20.0+0.0088*I],56]),pnt(pnt[group[20.0+0.0088*I,20.0],56]),pnt(pnt[group[15.0,20.0],56]),pnt(pnt[line[20.0,25.0,25.0+0.0088*I,20.0+0.0088*I,20.0],1073741871]),pnt(pnt[group[20.0,20.0+0.0088*I],56]),pnt(pnt[group[20.0+0.0088*I,25.0+0.0088*I],56]),pnt(pnt[group[25.0+0.0088*I,25.0],56]),pnt(pnt[group[20.0,25.0],56]),pnt(pnt[line[25.0,30.0,30.0+0.012*I,25.0+0.012*I,25.0],1073741871]),pnt(pnt[group[25.0,25.0+0.012*I],56]),pnt(pnt[group[25.0+0.012*I,30.0+0.012*I],56]),pnt(pnt[group[30.0+0.012*I,30.0],56]),pnt(pnt[group[25.0,30.0],56]),pnt(pnt[line[30.0,35.0,35.0+0.0128*I,30.0+0.0128*I,30.0],1073741871]),pnt(pnt[group[30.0,30.0+0.0128*I],56]),pnt(pnt[group[30.0+0.0128*I,35.0+0.0128*I],56]),pnt(pnt[group[35.0+0.0128*I,35.0],56]),pnt(pnt[group[30.0,35.0],56]),pnt(pnt[line[35.0,40.0,40.0+0.0096*I,35.0+0.0096*I,35.0],1073741871]),pnt(pnt[group[35.0,35.0+0.0096*I],56]),pnt(pnt[group[35.0+0.0096*I,40.0+0.0096*I],56]),pnt(pnt[group[40.0+0.0096*I,40.0],56]),pnt(pnt[group[35.0,40.0],56]),pnt(pnt[line[40.0,45.0,45.0+0.012*I,40.0+0.012*I,40.0],1073741871]),pnt(pnt[group[40.0,40.0+0.012*I],56]),pnt(pnt[group[40.0+0.012*I,45.0+0.012*I],56]),pnt(pnt[group[45.0+0.012*I,45.0],56]),pnt(pnt[group[40.0,45.0],56]),pnt(pnt[line[45.0,50.0,50.0+0.0128*I,45.0+0.0128*I,45.0],1073741871]),pnt(pnt[group[45.0,45.0+0.0128*I],56]),pnt(pnt[group[45.0+0.0128*I,50.0+0.0128*I],56]),pnt(pnt[group[50.0+0.0128*I,50.0],56]),pnt(pnt[group[45.0,50.0],56]),pnt(pnt[line[50.0,55.0,55.0+0.006*I,50.0+0.006*I,50.0],1073741871]),pnt(pnt[group[50.0,50.0+0.006*I],56]),pnt(pnt[group[50.0+0.006*I,55.0+0.006*I],56]),pnt(pnt[group[55.0+0.006*I,55.0],56]),pnt(pnt[group[50.0,55.0],56]),pnt(pnt[line[55.0,60.0,60.0+0.0104*I,55.0+0.0104*I,55.0],1073741871]),pnt(pnt[group[55.0,55.0+0.0104*I],56]),pnt(pnt[group[55.0+0.0104*I,60.0+0.0104*I],56]),pnt(pnt[group[60.0+0.0104*I,60.0],56]),pnt(pnt[group[55.0,60.0],56]),pnt(pnt[line[60.0,65.0,65.0+0.0068*I,60.0+0.0068*I,60.0],1073741871]),pnt(pnt[group[60.0,60.0+0.0068*I],56]),pnt(pnt[group[60.0+0.0068*I,65.0+0.0068*I],56]),pnt(pnt[group[65.0+0.0068*I,65.0],56]),pnt(pnt[group[60.0,65.0],56]),pnt(pnt[line[65.0,70.0,70.0+0.0092*I,65.0+0.0092*I,65.0],1073741871]),pnt(pnt[group[65.0,65.0+0.0092*I],56]),pnt(pnt[group[65.0+0.0092*I,70.0+0.0092*I],56]),pnt(pnt[group[70.0+0.0092*I,70.0],56]),pnt(pnt[group[65.0,70.0],56]),pnt(pnt[line[70.0,75.0,75.0+0.0064*I,70.0+0.0064*I,70.0],1073741871]),pnt(pnt[group[70.0,70.0+0.0064*I],56]),pnt(pnt[group[70.0+0.0064*I,75.0+0.0064*I],56]),pnt(pnt[group[75.0+0.0064*I,75.0],56]),pnt(pnt[group[70.0,75.0],56]),pnt(pnt[line[75.0,80.0,80.0+0.0116*I,75.0+0.0116*I,75.0],1073741871]),pnt(pnt[group[75.0,75.0+0.0116*I],56]),pnt(pnt[group[75.0+0.0116*I,80.0+0.0116*I],56]),pnt(pnt[group[80.0+0.0116*I,80.0],56]),pnt(pnt[group[75.0,80.0],56]),pnt(pnt[line[80.0,85.0,85.0+0.0144*I,80.0+0.0144*I,80.0],1073741871]),pnt(pnt[group[80.0,80.0+0.0144*I],56]),pnt(pnt[group[80.0+0.0144*I,85.0+0.0144*I],56]),pnt(pnt[group[85.0+0.0144*I,85.0],56]),pnt(pnt[group[80.0,85.0],56]),pnt(pnt[line[85.0,90.0,90.0+0.0104*I,85.0+0.0104*I,85.0],1073741871]),pnt(pnt[group[85.0,85.0+0.0104*I],56]),pnt(pnt[group[85.0+0.0104*I,90.0+0.0104*I],56]),pnt(pnt[group[90.0+0.0104*I,90.0],56]),pnt(pnt[group[85.0,90.0],56]),pnt(pnt[line[90.0,95.0,95.0+0.0104*I,90.0+0.0104*I,90.0],1073741871]),pnt(pnt[group[90.0,90.0+0.0104*I],56]),pnt(pnt[group[90.0+0.0104*I,95.0+0.0104*I],56]),pnt(pnt[group[95.0+0.0104*I,95.0],56]),pnt(pnt[group[90.0,95.0],56]),pnt(pnt[line[95.0,100.0,100.0+0.012*I,95.0+0.012*I,95.0],1073741871]),pnt(pnt[group[95.0,95.0+0.012*I],56]),pnt(pnt[group[95.0+0.012*I,100.0+0.012*I],56]),pnt(pnt[group[100.0+0.012*I,100.0],56]),pnt(pnt[group[95.0,100.0],56])],
75c75
< [pnt(pnt[line[0.0,1.0,1.0+0.098*I,0.098*I,0.0],56]),pnt(pnt[group[0.0,0.098*I],0]),pnt(pnt[group[0.098*I,1.0+0.098*I],0]),pnt(pnt[group[1.0+0.098*I,1.0],0]),pnt(pnt[group[0.0,1.0],0]),pnt(pnt[line[1.0,2.0,2.0+0.104*I,1.0+0.104*I,1.0],56]),pnt(pnt[group[1.0,1.0+0.104*I],0]),pnt(pnt[group[1.0+0.104*I,2.0+0.104*I],0]),pnt(pnt[group[2.0+0.104*I,2.0],0]),pnt(pnt[group[1.0,2.0],0]),pnt(pnt[line[2.0,3.0,3.0+0.114*I,2.0+0.114*I,2.0],56]),pnt(pnt[group[2.0,2.0+0.114*I],0]),pnt(pnt[group[2.0+0.114*I,3.0+0.114*I],0]),pnt(pnt[group[3.0+0.114*I,3.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[line[3.0,4.0,4.0+0.08*I,3.0+0.08*I,3.0],56]),pnt(pnt[group[3.0,3.0+0.08*I],0]),pnt(pnt[group[3.0+0.08*I,4.0+0.08*I],0]),pnt(pnt[group[4.0+0.08*I,4.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[line[4.0,5.0,5.0+0.112*I,4.0+0.112*I,4.0],56]),pnt(pnt[group[4.0,4.0+0.112*I],0]),pnt(pnt[group[4.0+0.112*I,5.0+0.112*I],0]),pnt(pnt[group[5.0+0.112*I,5.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[line[5.0,6.0,6.0+0.08*I,5.0+0.08*I,5.0],56]),pnt(pnt[group[5.0,5.0+0.08*I],0]),pnt(pnt[group[5.0+0.08*I,6.0+0.08*I],0]),pnt(pnt[group[6.0+0.08*I,6.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[line[6.0,7.0,7.0+0.126*I,6.0+0.126*I,6.0],56]),pnt(pnt[group[6.0,6.0+0.126*I],0]),pnt(pnt[group[6.0+0.126*I,7.0+0.126*I],0]),pnt(pnt[group[7.0+0.126*I,7.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[line[7.0,8.0,8.0+0.092*I,7.0+0.092*I,7.0],56]),pnt(pnt[group[7.0,7.0+0.092*I],0]),pnt(pnt[group[7.0+0.092*I,8.0+0.092*I],0]),pnt(pnt[group[8.0+0.092*I,8.0],0]),pnt(pnt[group[7.0,8.0],0]),pnt(pnt[line[8.0,9.0,9.0+0.098*I,8.0+0.098*I,8.0],56]),pnt(pnt[group[8.0,8.0+0.098*I],0]),pnt(pnt[group[8.0+0.098*I,9.0+0.098*I],0]),pnt(pnt[group[9.0+0.098*I,9.0],0]),pnt(pnt[group[8.0,9.0],0]),pnt(pnt[line[9.0,10.0,10.0+0.096*I,9.0+0.096*I,9.0],56]),pnt(pnt[group[9.0,9.0+0.096*I],0]),pnt(pnt[group[9.0+0.096*I,10.0+0.096*I],0]),pnt(pnt[group[10.0+0.096*I,10.0],0]),pnt(pnt[group[9.0,10.0],0])],
---
> [axes=3,pnt(pnt[line[0.0,1.0,1.0+0.098*I,0.098*I,0.0],1073741871]),pnt(pnt[group[0.0,0.098*I],56]),pnt(pnt[group[0.098*I,1.0+0.098*I],56]),pnt(pnt[group[1.0+0.098*I,1.0],56]),pnt(pnt[group[0.0,1.0],56]),pnt(pnt[line[1.0,2.0,2.0+0.104*I,1.0+0.104*I,1.0],1073741871]),pnt(pnt[group[1.0,1.0+0.104*I],56]),pnt(pnt[group[1.0+0.104*I,2.0+0.104*I],56]),pnt(pnt[group[2.0+0.104*I,2.0],56]),pnt(pnt[group[1.0,2.0],56]),pnt(pnt[line[2.0,3.0,3.0+0.114*I,2.0+0.114*I,2.0],1073741871]),pnt(pnt[group[2.0,2.0+0.114*I],56]),pnt(pnt[group[2.0+0.114*I,3.0+0.114*I],56]),pnt(pnt[group[3.0+0.114*I,3.0],56]),pnt(pnt[group[2.0,3.0],56]),pnt(pnt[line[3.0,4.0,4.0+0.08*I,3.0+0.08*I,3.0],1073741871]),pnt(pnt[group[3.0,3.0+0.08*I],56]),pnt(pnt[group[3.0+0.08*I,4.0+0.08*I],56]),pnt(pnt[group[4.0+0.08*I,4.0],56]),pnt(pnt[group[3.0,4.0],56]),pnt(pnt[line[4.0,5.0,5.0+0.112*I,4.0+0.112*I,4.0],1073741871]),pnt(pnt[group[4.0,4.0+0.112*I],56]),pnt(pnt[group[4.0+0.112*I,5.0+0.112*I],56]),pnt(pnt[group[5.0+0.112*I,5.0],56]),pnt(pnt[group[4.0,5.0],56]),pnt(pnt[line[5.0,6.0,6.0+0.08*I,5.0+0.08*I,5.0],1073741871]),pnt(pnt[group[5.0,5.0+0.08*I],56]),pnt(pnt[group[5.0+0.08*I,6.0+0.08*I],56]),pnt(pnt[group[6.0+0.08*I,6.0],56]),pnt(pnt[group[5.0,6.0],56]),pnt(pnt[line[6.0,7.0,7.0+0.126*I,6.0+0.126*I,6.0],1073741871]),pnt(pnt[group[6.0,6.0+0.126*I],56]),pnt(pnt[group[6.0+0.126*I,7.0+0.126*I],56]),pnt(pnt[group[7.0+0.126*I,7.0],56]),pnt(pnt[group[6.0,7.0],56]),pnt(pnt[line[7.0,8.0,8.0+0.092*I,7.0+0.092*I,7.0],1073741871]),pnt(pnt[group[7.0,7.0+0.092*I],56]),pnt(pnt[group[7.0+0.092*I,8.0+0.092*I],56]),pnt(pnt[group[8.0+0.092*I,8.0],56]),pnt(pnt[group[7.0,8.0],56]),pnt(pnt[line[8.0,9.0,9.0+0.098*I,8.0+0.098*I,8.0],1073741871]),pnt(pnt[group[8.0,8.0+0.098*I],56]),pnt(pnt[group[8.0+0.098*I,9.0+0.098*I],56]),pnt(pnt[group[9.0+0.098*I,9.0],56]),pnt(pnt[group[8.0,9.0],56]),pnt(pnt[line[9.0,10.0,10.0+0.096*I,9.0+0.096*I,9.0],1073741871]),pnt(pnt[group[9.0,9.0+0.096*I],56]),pnt(pnt[group[9.0+0.096*I,10.0+0.096*I],56]),pnt(pnt[group[10.0+0.096*I,10.0],56]),pnt(pnt[group[9.0,10.0],56])],
82c82
< [pnt(pnt[line[0.0,1.0,1.0+0.25*I,0.25*I,0.0],56]),pnt(pnt[group[0.0,0.25*I],0]),pnt(pnt[group[0.25*I,1.0+0.25*I],0]),pnt(pnt[group[1.0+0.25*I,1.0],0]),pnt(pnt[group[0.0,1.0],0]),pnt(pnt[line[1.0,2.0,2.0+0.25*I,1.0+0.25*I,1.0],56]),pnt(pnt[group[1.0,1.0+0.25*I],0]),pnt(pnt[group[1.0+0.25*I,2.0+0.25*I],0]),pnt(pnt[group[2.0+0.25*I,2.0],0]),pnt(pnt[group[1.0,2.0],0]),pnt(pnt[line[2.0,3.0,3.0,2.0,2.0],56]),pnt(pnt[group[2.0,2.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[group[3.0,3.0],0]),pnt(pnt[group[2.0,3.0],0]),pnt(pnt[line[3.0,4.0,4.0,3.0,3.0],56]),pnt(pnt[group[3.0,3.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[group[4.0,4.0],0]),pnt(pnt[group[3.0,4.0],0]),pnt(pnt[line[4.0,5.0,5.0,4.0,4.0],56]),pnt(pnt[group[4.0,4.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[group[5.0,5.0],0]),pnt(pnt[group[4.0,5.0],0]),pnt(pnt[line[5.0,6.0,6.0,5.0,5.0],56]),pnt(pnt[group[5.0,5.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[group[6.0,6.0],0]),pnt(pnt[group[5.0,6.0],0]),pnt(pnt[line[6.0,7.0,7.0,6.0,6.0],56]),pnt(pnt[group[6.0,6.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[group[7.0,7.0],0]),pnt(pnt[group[6.0,7.0],0]),pnt(pnt[line[7.0,8.0,8.0+0.25*I,7.0+0.25*I,7.0],56]),pnt(pnt[group[7.0,7.0+0.25*I],0]),pnt(pnt[group[7.0+0.25*I,8.0+0.25*I],0]),pnt(pnt[group[8.0+0.25*I,8.0],0]),pnt(pnt[group[7.0,8.0],0]),pnt(pnt[line[8.0,9.0,9.0+0.25*I,8.0+0.25*I,8.0],56]),pnt(pnt[group[8.0,8.0+0.25*I],0]),pnt(pnt[group[8.0+0.25*I,9.0+0.25*I],0]),pnt(pnt[group[9.0+0.25*I,9.0],0]),pnt(pnt[group[8.0,9.0],0])],
---
> [axes=3,pnt(pnt[line[0.0,1.0,1.0+0.25*I,0.25*I,0.0],1073741871]),pnt(pnt[group[0.0,0.25*I],56]),pnt(pnt[group[0.25*I,1.0+0.25*I],56]),pnt(pnt[group[1.0+0.25*I,1.0],56]),pnt(pnt[group[0.0,1.0],56]),pnt(pnt[line[1.0,2.0,2.0+0.25*I,1.0+0.25*I,1.0],1073741871]),pnt(pnt[group[1.0,1.0+0.25*I],56]),pnt(pnt[group[1.0+0.25*I,2.0+0.25*I],56]),pnt(pnt[group[2.0+0.25*I,2.0],56]),pnt(pnt[group[1.0,2.0],56]),pnt(pnt[line[2.0,3.0,3.0,2.0,2.0],1073741871]),pnt(pnt[group[2.0,2.0],56]),pnt(pnt[group[2.0,3.0],56]),pnt(pnt[group[3.0,3.0],56]),pnt(pnt[group[2.0,3.0],56]),pnt(pnt[line[3.0,4.0,4.0,3.0,3.0],1073741871]),pnt(pnt[group[3.0,3.0],56]),pnt(pnt[group[3.0,4.0],56]),pnt(pnt[group[4.0,4.0],56]),pnt(pnt[group[3.0,4.0],56]),pnt(pnt[line[4.0,5.0,5.0,4.0,4.0],1073741871]),pnt(pnt[group[4.0,4.0],56]),pnt(pnt[group[4.0,5.0],56]),pnt(pnt[group[5.0,5.0],56]),pnt(pnt[group[4.0,5.0],56]),pnt(pnt[line[5.0,6.0,6.0,5.0,5.0],1073741871]),pnt(pnt[group[5.0,5.0],56]),pnt(pnt[group[5.0,6.0],56]),pnt(pnt[group[6.0,6.0],56]),pnt(pnt[group[5.0,6.0],56]),pnt(pnt[line[6.0,7.0,7.0,6.0,6.0],1073741871]),pnt(pnt[group[6.0,6.0],56]),pnt(pnt[group[6.0,7.0],56]),pnt(pnt[group[7.0,7.0],56]),pnt(pnt[group[6.0,7.0],56]),pnt(pnt[line[7.0,8.0,8.0+0.25*I,7.0+0.25*I,7.0],1073741871]),pnt(pnt[group[7.0,7.0+0.25*I],56]),pnt(pnt[group[7.0+0.25*I,8.0+0.25*I],56]),pnt(pnt[group[8.0+0.25*I,8.0],56]),pnt(pnt[group[7.0,8.0],56]),pnt(pnt[line[8.0,9.0,9.0+0.25*I,8.0+0.25*I,8.0],1073741871]),pnt(pnt[group[8.0,8.0+0.25*I],56]),pnt(pnt[group[8.0+0.25*I,9.0+0.25*I],56]),pnt(pnt[group[9.0+0.25*I,9.0],56]),pnt(pnt[group[8.0,9.0],56])],
FAIL: chk_fhan9
// Maximum number of parallel threads 48
[...]
// Time 0.02
// Time 0
// Total time 0.21
PASS: chk_fhan7
====================
2 of 30 tests failed
====================
Makefile:351: recipe for target 'check-TESTS' failed

it has always been flaky on that buildbot, but now seems to fail consistently. I'll exclude running the giac testsuite on kucalc from now on.

kiwifb · 2021-03-06T00:52:09Z

comment:104

I'd have to double check that. Some (mathematical) tests return different results depending on whether you build the GUI (linked to fltk) or not. The results distributed with giac are done with GUI. I officially gave up on patching for tests without GUI in sage-on-gentoo for giac-1.6.0-x, because it would have been a massive patch. Very much like what would be needed given your results above. I just cannot ascertain that it was chk_fhan9 on top of my head.

vbraun · 2021-03-07T17:06:20Z

Changed branch from u/fbissey/giac-1.6.0.47 to f05720b

tscrim · 2021-03-25T23:30:58Z

comment:106

This is causing segfaults to happen on #30423. We don't understand why at this point, but we know if works before this ticket and does not after. See #30423 for the error.

tscrim · 2021-03-25T23:30:58Z

Changed commit from f05720b to none

mkoeppe · 2021-03-26T01:43:11Z

comment:107

Another followup - unrelated to the segfault in #30423 - in #31562.

Next major update - #31563.

mkoeppe · 2021-03-29T03:46:05Z

comment:108

Follow-up - speed regression because pari is forced to be --mt=pthread - in #31572.

tobihan added this to the sage-9.3 milestone Sep 9, 2020

tobihan added c: packages: standard labels Sep 9, 2020

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mkoeppe changed the title ~~Upgrade giac to 1.6.0-7~~ Upgrade giac to 1.6.0-17 Sep 10, 2020

mkoeppe added s: positive review and removed s: needs review labels Feb 23, 2021

vbraun removed the s: positive review label Mar 7, 2021

vbraun closed this as completed in 8ff8b0b Mar 7, 2021

thierry-FreeBSD mentioned this issue Sep 15, 2020

spkg-configure.m4 for giac #29541

Closed

tornaria mentioned this issue Jan 29, 2023

Important speed regression because pari is forced to be --mt=pthread #31572

Open

Upgrade giac to 1.6.0-47 #30537

Upgrade giac to 1.6.0-47 #30537

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