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upgrade Normaliz to 3.8.8, PyNormaliz to 2.12, add script package libnauty #27952

Closed videlec closed 4 years ago

videlec commented 5 years ago

Tarballs: see checksums.ini

These new releases include dynamic bitset classes that allow dynamic h-representation computations.

We also install nauty header and library in order that Normaliz compile with nauty support (for computing automorphism group).

Depends on #30262

Upstream: Fixed upstream, but not in a stable release.

CC: @mkoeppe @jplab @isuruf @w-bruns @tscrim @kliem @LaisRast @slel

Component: packages: standard

Keywords: package upgrade days101

Author: Vincent Delecroix, Jonathan Kliem, Matthias Koeppe

Branch: c55a701

Reviewer: Jonathan Kliem, Matthias Koeppe

Issue created by migration from https://trac.sagemath.org/ticket/27952

videlec commented 5 years ago

New commits:

fdb67b5upgrade normaliz to 3.7.3
videlec commented 5 years ago

Commit: fdb67b5

videlec commented 5 years ago

Branch: u/vdelecroix/normaliz

videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -1,4 +1,4 @@
 Tarballs

 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
-- PyNormaliz: ?
+- PyNormaliz: https://files.pythonhosted.org/packages/b3/2a/6bf3717ff75f4b6dd8cbcba3dffdf75e65162c7aaad4ff95a64b4a768e7e/PyNormaliz-2.7.tar.gz
videlec commented 5 years ago

Changed keywords from none to package upgrade

7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Branch pushed to git repo; I updated commit sha1. This was a forced push. New commits:

7b7168bupgrade normaliz to 3.7.3 and PyNormaliz to 2.7
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Changed commit from fdb67b5 to 7b7168b

videlec commented 5 years ago

Author: Vincent Delecroix

videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -1,4 +1,4 @@
 Tarballs

 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
-- PyNormaliz: https://files.pythonhosted.org/packages/b3/2a/6bf3717ff75f4b6dd8cbcba3dffdf75e65162c7aaad4ff95a64b4a768e7e/PyNormaliz-2.7.tar.gz
+
videlec commented 5 years ago

Dependencies: #27920

videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -1,4 +1,4 @@
 Tarballs

 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
-
+- PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz
videlec commented 5 years ago

Description changed:

videlec commented 5 years ago
comment:9

Self tests do not pass on my computer

$ python3 setup.py test
/opt/sage/sage-py3-gcc/local/lib/python3.7/distutils/dist.py:274: UserWarning: Unknown distribution option: 'long_description_content_type'
  warnings.warn(msg)
running test
Doctest must_be_matrices-39.txt
  2 tests
Doctest test_rational_cones.txt
  34 tests
Doctest segfault-45.txt
  3 tests
Doctest autom.txt
Doctest failures
videlec commented 5 years ago
comment:10

And I confirm the segfault in a Python3 console

$ python3
Python 3.7.3 (default, May 26 2019, 12:00:16) 
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from PyNormaliz import Cone, NmzCone, NmzResult
>>> V = [[-1, -1, 1], [-1, 0, 1], [-1, 1, 1], [0, -1, 1], [0, 0, 1], [0, 1, 1], [1, -1, 1], [1, 0, 1], [1, 1, 1]]
>>> cube2 = NmzCone(vertices=V)
>>> NmzResult(cube2,"Automorphisms") == [8, [[[], []], []], [[[0, 2, 1, 3], [1, 0, 3, 2]], [[0, 1, 2, 3]]], [[[1, 0, 3, 2], [0, 2, 1, 3]], [[0, 1, 2, 3]]]]
Erreur de segmentation (core dumped)
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Branch pushed to git repo; I updated commit sha1. This was a forced push. New commits:

72af741normaliz 3.7.3 upgrade / PyNormaliz 2.8 upgrade
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Changed commit from 7b7168b to 72af741

videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -1,4 +1,5 @@
 Tarballs

+- e-antic: TO COME
 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
 - PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz
videlec commented 5 years ago
comment:12

segfault probably due to e-antic version. I am about to release 0.1.3

videlec commented 5 years ago
comment:13

Most probably, the segfault is due to the fact that Normaliz was not built with nauty support

checking whether nauty headers and library are available... checking for densenauty in -lnauty... no
embray commented 5 years ago
comment:14

Tickets still needing working or clarification should be moved to the next release milestone at the soonest (please feel free to revert if you think the ticket is close to being resolved).

videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -1,5 +1,4 @@
 Tarballs

-- e-antic: TO COME
 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
 - PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz
videlec commented 5 years ago

Description changed:

--- 
+++ 
@@ -2,3 +2,5 @@

 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
 - PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz
+
+We also install nauty header and library in order that Normaliz compile with nauty support (for computing automorphism group).
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Branch pushed to git repo; I updated commit sha1. This was a forced push. New commits:

026e069upgrade e-antic to 0.1.3
cef606binstall nauty header and library
36f640enormaliz 3.7.3 upgrade / PyNormaliz 2.8 upgrade
7ed8c4ca-6d56-4ae9-953a-41e42b4ed313 commented 5 years ago

Changed commit from 72af741 to 36f640e

videlec commented 5 years ago

Changed dependencies from #27920 to #28006

mkoeppe commented 5 years ago
comment:19

What's this business with nauty.a? Shouldn't a shared library be built?

videlec commented 5 years ago
comment:20

If you suceed in doing so, please go on. Nauty makefile is extremly basic.

videlec commented 5 years ago

Changed keywords from package upgrade to package upgrade days101

mkoeppe commented 5 years ago
comment:22

Debian seems to have an autotoolized build system for nauty. https://sources.debian.org/patches/nauty/2.5r9+ds-1/

videlec commented 5 years ago
comment:23

They also do not build shared library as far a I see.

mkoeppe commented 5 years ago
comment:24

Their "upstream autotoolization.patch " has lib_LTLIBRARIES = libnauty.la ....

videlec commented 5 years ago
comment:25

Then you are welcome to port their patch to Sage and propose a patch to normaliz!

jplab commented 5 years ago
comment:27

FWIW: Normaliz 3.7.4 is out and fixes an f-vector issue (that came up with algebraic polytopes). It might be worth to grab this version right away and not wait for another ticket. This newer version should not be a quantum step...

embray commented 4 years ago
comment:28

Ticket retargeted after milestone closed

mkoeppe commented 4 years ago
comment:29

Also we need a version of e-antic that finds Debian's install name of arb, flint-arb. This seems to be in e-antic master but not in the 0.x branch

mkoeppe commented 4 years ago
comment:30

(see https://github.com/mkoeppe/sage/runs/430688755?check_suite_focus=true, where Sage recognizes libflint-arb but the e-antic install fails.)

mkoeppe commented 4 years ago

Description changed:

--- 
+++ 
@@ -4,3 +4,5 @@
 - PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz

 We also install nauty header and library in order that Normaliz compile with nauty support (for computing automorphism group).
+
+We also patch or upgrade e-antic so that it finds `arb` on Debian (https://github.com/videlec/e-antic/pull/82)
mkoeppe commented 4 years ago
comment:33

Replying to @mkoeppe:

Also we need a version of e-antic that finds Debian's install name of arb, flint-arb. This seems to be in e-antic master but not in the 0.x branch

Fixed in merged pull request https://github.com/videlec/e-antic/pull/82; now we only need a new release!

mkoeppe commented 4 years ago
comment:34

Needs to be merged with #28799.

mkoeppe commented 4 years ago

Description changed:

--- 
+++ 
@@ -3,6 +3,10 @@
 - Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
 - PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz

+These new releases include dynamic bitset classes that allow dynamic h-representation computations.
+
 We also install nauty header and library in order that Normaliz compile with nauty support (for computing automorphism group).

-We also patch or upgrade e-antic so that it finds `arb` on Debian (https://github.com/videlec/e-antic/pull/82)
+We also patch e-antic so that it finds `arb` on Debian (https://github.com/videlec/e-antic/pull/82).
+
+
mkoeppe commented 4 years ago

Description changed:

--- 
+++ 
@@ -1,7 +1,7 @@
 Tarballs

-- Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.7.3/normaliz-3.7.3.tar.gz
-- PyNormaliz: https://files.pythonhosted.org/packages/6b/92/f0074f58dc8a36529b374e3b18a7f21557bf113fb3480bb3d327d4fc5a2f/PyNormaliz-2.8.tar.gz
+- Normaliz: https://github.com/Normaliz/Normaliz/releases/download/v3.8.4/normaliz-3.8.4.tar.gz
+- PyNormaliz: https://files.pythonhosted.org/packages/a6/4b/43fa5e9a993e683b960ade003918bb5fa2180932fc8ac39daea1364163a8/PyNormaliz-2.10.tar.gz

 These new releases include dynamic bitset classes that allow dynamic h-representation computations.
mkoeppe commented 4 years ago

Changed branch from u/vdelecroix/normaliz to u/mkoeppe/normaliz

kliem commented 4 years ago
comment:38

The challenge with upgrading Normaliz and PyNormaliz one basically has to rewrite _cone_from_Vrepresentation_and_Hrepresentation in backend_normaliz.py (and then pickling fails again), as initialization from precomputed data of normaliz cones works a bit different now.

I have mostly figured out how to do this, I think. So unless someone want to, I would like to take care of that part.


New commits:

b9b8222install nauty header and library
b482276normaliz 3.7.3 upgrade / PyNormaliz 2.8 upgrade
1860af0Update Normaliz to 3.8.4, PyNormaliz to 2.10
2e1b0e8normaliz: Remove dependency on boost_cropped
3543b73Add e-antic patch
kliem commented 4 years ago

Changed commit from 36f640e to 3543b73

mkoeppe commented 4 years ago
comment:39

Replying to @kliem:

The challenge with upgrading Normaliz and PyNormaliz one basically has to rewrite _cone_from_Vrepresentation_and_Hrepresentation in backend_normaliz.py (and then pickling fails again), as initialization from precomputed data of normaliz cones works a bit different now.

I have mostly figured out how to do this, I think. So unless someone want to, I would like to take care of that part.

Sounds good.

mkoeppe commented 4 years ago
comment:40

I assume you are referring to these kinds of errors:

File "src/sage/geometry/polyhedron/backend_normaliz.py", line 675, in sage.geometry.polyhedron.backend_normaliz.Polyhedron_normaliz._cone_from_Vrepresentation_and_Hrepresentation
Failed example:
    cone = P._cone_from_Vrepresentation_and_Hrepresentation(P.vertices(),P.rays(),P.inequalities(),P.equations())   # optional - pynormaliz
Exception raised:
    Traceback (most recent call last):
      File "/Users/mkoeppe/s/sage/sage-rebasing/worktree-algebraic-2018-spring/local/lib/python3.7/site-packages/sage/doctest/forker.py", line 681, in _run
        self.compile_and_execute(example, compiler, test.globs)
      File "/Users/mkoeppe/s/sage/sage-rebasing/worktree-algebraic-2018-spring/local/lib/python3.7/site-packages/sage/doctest/forker.py", line 1123, in compile_and_execute
        exec(compiled, globs)
      File "<doctest sage.geometry.polyhedron.backend_normaliz.Polyhedron_normaliz._cone_from_Vrepresentation_and_Hrepresentation[2]>", line 1, in <module>
        cone = P._cone_from_Vrepresentation_and_Hrepresentation(P.vertices(),P.rays(),P.inequalities(),P.equations())   # optional - pynormaliz
      File "/Users/mkoeppe/s/sage/sage-rebasing/worktree-algebraic-2018-spring/local/lib/python3.7/site-packages/sage/geometry/polyhedron/backend_normaliz.py", line 790, in _cone_from_Vrepresentation_and_Hrepresentation
        return self._cone_from_normaliz_data(data, verbose=verbose)
      File "/Users/mkoeppe/s/sage/sage-rebasing/worktree-algebraic-2018-spring/local/lib/python3.7/site-packages/sage/geometry/polyhedron/backend_normaliz.py", line 414, in _cone_from_normaliz_data
        cone = PyNormaliz.NmzCone(**data)
    PyNormaliz_cpp.NormalizError: Some error in the normaliz input data detected: Input type not allowed with precomputed data
mkoeppe commented 4 years ago
comment:41

I will not make further changes at this point. The branch needs the first part of commit 9dd22ef4f79228fdb9e0e012b98046349922d6fb (from #28799).

mkoeppe commented 4 years ago

Changed author from Vincent Delecroix to Vincent Delecroix, Matthias Koeppe

kliem commented 4 years ago
comment:43

@w-bruns: I'm having trouble with the new version of normaliz for the following reason:

When initializing a cone from precomputed data, it asks me to specify generated_lattice. However, sometimes we do not have access to this (e.g. when we want to change backends and have never done the computations in normaliz or when combinatorially obtaining the new double description is much cheaper).

How do I obtain generated_lattice from extreme_rays and maximal_subspace? (Or even as a cone property from any normaliz cone).

I'm puzzled for example how I could obtain the 2-dimensional permutahedron e.g.. The following doesn't seem to work:

sage: import PyNormaliz
sage: cone = PyNormaliz.NmzCone(
....:     dehomogenization=[[0, 0, 0, 1]],
....:     extreme_rays=[
....:         [1, 2, 3, 1], [1, 3, 2, 1], [2, 1, 3, 1],
....:         [2, 3, 1, 1], [3, 1, 2, 1], [3, 2, 1, 1]],
....:     generated_lattice=[[1, 0, -1, 0], [0, 1, -1, 0], [0, 0, 6, 1]],
....:     maximal_subspace=[],
....:     support_hyperplanes=[
....:         [-1, -1, 0, 5], [-1, 0, 0, 3], [0, -1, 0, 3],
....:         [0, 1, 0, -1], [1, 0, 0, -1], [1, 1, 0, -3]])

It initializes the empty cone for some reason. (At least Dimension of this thing is -1.)

How do I modify the generated lattice to make this work?

mkoeppe commented 4 years ago

Work Issues: patch e-antic configure