Date: Friday, December 15, 2017 @ 23:13:50 Author: arojas Revision: 274543
Sync with sagemath package Added: sagemath-doc/trunk/pari-stackwarn.patch sagemath-doc/trunk/sagemath-doc-no-sagenb.patch sagemath-doc/trunk/sagemath-lrs.patch sagemath-doc/trunk/sagemath-matplotlib2.patch sagemath-doc/trunk/sagemath-scipy-1.0.patch Modified: sagemath-doc/trunk/PKGBUILD ------------------------------+ PKGBUILD | 33 ++++- pari-stackwarn.patch | 23 +++ sagemath-doc-no-sagenb.patch | 28 ++++ sagemath-lrs.patch | 22 +++ sagemath-matplotlib2.patch | 253 +++++++++++++++++++++++++++++++++++++++++ sagemath-scipy-1.0.patch | 16 ++ 6 files changed, 368 insertions(+), 7 deletions(-) Modified: PKGBUILD =================================================================== --- PKGBUILD 2017-12-15 22:33:08 UTC (rev 274542) +++ PKGBUILD 2017-12-15 23:13:50 UTC (rev 274543) @@ -4,16 +4,18 @@ pkgbase=sagemath-doc pkgname=(sagemath-doc sagemath-src) pkgver=8.1 -pkgrel=1 +pkgrel=2 arch=(any) url="http://www.sagemath.org" license=(GPL) -makedepends=(sagemath sage-notebook python2-pyzmq python2-pillow python2-docutils tachyon +makedepends=(sage-notebook python2-pyzmq python2-pillow python2-docutils tachyon python2-jupyter_client python2-pkgconfig cython2 thebe python2-sphinx python2-ipywidgets) source=("$pkgname-$pkgver.tar.gz::https://github.com/sagemath/sage/archive/$pkgver.tar.gz" sagemath-env.patch package.patch latte-count.patch jupyter-path.patch sagemath-python3-notebook.patch test-optional.patch - r-no-readline.patch fes02.patch sagemath-threejs.patch sagemath-detect-igraph.patch - sagemath-networkx2.patch sagemath-linbox-1.5.patch sagemath-pynac-0.7.14.patch docbuild_main.patch) + r-no-readline.patch fes02.patch sagemath-threejs.patch sagemath-detect-igraph.patch pari-stackwarn.patch + sagemath-detect-igraph.patch sagemath-networkx2.patch sagemath-linbox-1.5.patch sagemath-pynac-0.7.14.patch + sagemath-matplotlib2.patch sagemath-scipy-1.0.patch sagemath-lrs.patch + docbuild_main.patch sagemath-doc-no-sagenb.patch) sha256sums=('a42b55c2c8ac244535dc9b87171b7d4dd7e1d498099518ab253354fbe2eaaa7b' '6dc9b101310f80381c61c0312a3e5c648771bfe0de2e94ac46fafe7282a3e0ee' 'c41ae665499c6cd775d40bbe178f8786830b0931ee26bf11ee02f7d83bcc8107' @@ -25,10 +27,16 @@ '7fcb52e96935dccb0f958d37c2f4e3918392480b9af53e08562f6cba6c68cb94' '514135b920a43f999571a15e97b41e14f5bed59f65b19643864dc23555a7b830' '28d7789b8d777922ab8871ca43b6afab751428cae875c0343d3962e6a2030b88' + 'bfd2a20a33ab19a8a8b216a77d07f62e809fe1e1879c4f171ce5dca62fd482e9' + '28d7789b8d777922ab8871ca43b6afab751428cae875c0343d3962e6a2030b88' '37c5c1e694a2aca06c0f1c7d99622ff81fd2bc6a51e8745762294889fa4673f6' 'a52d03e04c9d64bb957a1f8dcdae3280ebb9450a7fd76aaf5ae5de5c6f74774f' '538f7b279d72f4b67edb445d386d267f3f7022c1079031ca7ea06f6ce392c906' - 'ea5e17bb7a7cb36a22e5e3872fcc2585852bc971c4b139b0b2cd69a36c1b009b') + 'b9ab2bb5f381ea425e8763b81b8b3a108a3951c594fb1f37f7df921e7c77e26d' + '17397b8e1843b013ef5d2e083369109f0719651edd8ef0c8493cb49e2bc4324a' + 'c0f65534a845ba802de6196229159fe67fcc3f72f0cb1ce57d4ae5c9fe10282c' + 'ea5e17bb7a7cb36a22e5e3872fcc2585852bc971c4b139b0b2cd69a36c1b009b' + '261bdb5c24e67fb34f537e29bdf35af655162de3fea7d05abc72f85a864720fe') prepare() { cd sage-$pkgver @@ -53,10 +61,16 @@ -i src/sage/databases/cremona.py # fix python-igraph detection patch -p1 -i ../sagemath-detect-igraph.patch +# fix lrs detection + patch -p1 -i ../sagemath-lrs.patch # adapt to networkx 2 changes patch -p1 -i ../sagemath-networkx2.patch # fix three.js plotting backend patch -p1 -i ../sagemath-threejs.patch +# don't show PARI stack size increase warnings during doctesting (Debian) + patch -p1 -i ../pari-stackwarn.patch +# remove deprecated scipy parameters + patch -p1 -i ../sagemath-scipy-1.0.patch # Upstream patches # fix build against libfes 0.2 http://trac.sagemath.org/ticket/15209 @@ -65,6 +79,10 @@ patch -p1 -i ../sagemath-linbox-1.5.patch # fix build with pynac 0.7.14 https://trac.sagemath.org/ticket/24329 patch -p1 -i ../sagemath-pynac-0.7.14.patch +# port away from deprecated and removed functions in matplotlib 2 https://trac.sagemath.org/ticket/23696 + patch -p1 -i ../sagemath-matplotlib2.patch +# drop sage-notebook dependency from sagemath-doc https://trac.sagemath.org/ticket/24250 + patch -p1 -i ../sagemath-doc-no-sagenb.patch # fix relative imports patch -p0 -i ../docbuild_main.patch @@ -72,6 +90,7 @@ # use python2 sed -e 's|cython %s %s|cython2 %s %s|' -e 's|python setup.py|python2 setup.py|' -i src/sage/misc/cython.py +# use sage_setup imports from sagemath source, but use system sage ones (which include compiled modules) mkdir -p local-python ln -sr src/sage_setup local-python } @@ -85,13 +104,13 @@ export SAGE_DOC_SRC="$SAGE_SRC"/doc export SAGE_DOC="$SAGE_SRC"/doc export SAGE_DOC_MATHJAX=yes - export PYTHONPATH="/usr/lib/sage/site-packages:$srcdir/sage-$pkgver/local-python" + export PYTHONPATH="$srcdir"/sage-$pkgver/local-python python2 sage_setup/docbuild --no-pdf-links -k all html } package_sagemath-doc() { pkgdesc="HTML documentation and inline help for SageMath" - depends=(sage-notebook python2-sphinx gap-doc thebe) + depends=(python2-sphinx gap-doc thebe) conflicts=(sage-mathematics-doc) replaces=(sage-mathematics-doc) Added: pari-stackwarn.patch =================================================================== --- pari-stackwarn.patch (rev 0) +++ pari-stackwarn.patch 2017-12-15 23:13:50 UTC (rev 274543) @@ -0,0 +1,23 @@ +Description: Ignore warnings of PARI increasing the stack size when parsing doctests + Since we can't patch PARI to not produce the warnings and we don't want to + patch tons of doctests to expect the warnings, we patch the doctest parser + to ignore them. +Author: Tobias Hansen <than...@debian.org> +--- sage/src/sage/doctest/parsing.py ++++ sage/src/sage/doctest/parsing.py +@@ -39,6 +39,7 @@ + + float_regex = re.compile('\s*([+-]?\s*((\d*\.?\d+)|(\d+\.?))([eE][+-]?\d+)?)') + optional_regex = re.compile(r'(long time|not implemented|not tested|known bug)|([^ a-z]\s*optional\s*[:-]*((\s|\w)*))') ++pari_stack_warning_regex = re.compile(r'\s*\*\*\*.*(Warning: increasing stack size to )\d+\.') + find_sage_prompt = re.compile(r"^(\s*)sage: ", re.M) + find_sage_continuation = re.compile(r"^(\s*)\.\.\.\.:", re.M) + random_marker = re.compile('.*random', re.I) +@@ -879,6 +880,7 @@ + 'you' + """ + got = self.human_readable_escape_sequences(got) ++ got = pari_stack_warning_regex.sub('', got) + if isinstance(want, MarkedOutput): + if want.random: + return True Added: sagemath-doc-no-sagenb.patch =================================================================== --- sagemath-doc-no-sagenb.patch (rev 0) +++ sagemath-doc-no-sagenb.patch 2017-12-15 23:13:50 UTC (rev 274543) @@ -0,0 +1,28 @@ +diff --git a/src/doc/common/conf.py b/src/doc/common/conf.py +index 2e115fa..c4dfbf5 100644 +--- a/src/doc/common/conf.py ++++ b/src/doc/common/conf.py +@@ -1,5 +1,5 @@ + import sys, os, sphinx +-from sage.env import SAGE_DOC_SRC, SAGE_DOC, SAGE_SRC, THEBE_DIR ++from sage.env import SAGE_DOC_SRC, SAGE_DOC, SAGE_SRC, THEBE_DIR, SAGE_SHARE + from datetime import date + from six import iteritems + +@@ -219,14 +219,12 @@ if (os.environ.get('SAGE_DOC_MATHJAX', 'no') != 'no' + from sage.misc.latex_macros import sage_mathjax_macros + html_theme_options['mathjax_macros'] = sage_mathjax_macros() + +- from pkg_resources import Requirement, working_set +- sagenb_path = working_set.find(Requirement.parse('sagenb')).location +- mathjax_relative = os.path.join('sagenb','data','mathjax') ++ mathjax_relative = 'mathjax' + + # It would be really nice if sphinx would copy the entire mathjax directory, + # (so we could have a _static/mathjax directory), rather than the contents of the directory + +- mathjax_static = os.path.join(sagenb_path, mathjax_relative) ++ mathjax_static = os.path.join(SAGE_SHARE, mathjax_relative) + html_static_path.append(mathjax_static) + exclude_patterns += ['**/'+os.path.join(mathjax_relative, i) + for i in ('docs', 'README*', 'test', Added: sagemath-lrs.patch =================================================================== --- sagemath-lrs.patch (rev 0) +++ sagemath-lrs.patch 2017-12-15 23:13:50 UTC (rev 274543) @@ -0,0 +1,22 @@ +diff --git a/src/sage/game_theory/normal_form_game.py b/src/sage/game_theory/normal_form_game.py +index 2115de6800..da94aa5d45 100644 +--- a/src/sage/game_theory/normal_form_game.py ++++ b/src/sage/game_theory/normal_form_game.py +@@ -621,6 +621,7 @@ from sage.matrix.constructor import vector + from sage.misc.package import is_package_installed, PackageNotFoundError + from sage.misc.temporary_file import tmp_filename + from sage.numerical.mip import MixedIntegerLinearProgram ++import os + + try: + from gambit import Game +@@ -1636,7 +1637,7 @@ class NormalFormGame(SageObject, MutableMapping): + if not algorithm: + if self.is_constant_sum(): + algorithm = "lp" +- elif is_package_installed('lrslib'): ++ elif os.path.exists('/usr/bin/lrsnash'): + algorithm = "lrs" + else: + algorithm = "enumeration" + Added: sagemath-matplotlib2.patch =================================================================== --- sagemath-matplotlib2.patch (rev 0) +++ sagemath-matplotlib2.patch 2017-12-15 23:13:50 UTC (rev 274543) @@ -0,0 +1,253 @@ +diff --git a/src/sage/all.py b/src/sage/all.py +index 300f519..19bc8ec 100644 +--- a/src/sage/all.py ++++ b/src/sage/all.py +@@ -313,8 +313,6 @@ warnings.filters.remove(('ignore', None, DeprecationWarning, None, 0)) + # Ignore all deprecations from IPython etc. + warnings.filterwarnings('ignore', + module='.*(IPython|ipykernel|jupyter_client|jupyter_core|nbformat|notebook|ipywidgets|storemagic)') +-# Ignore warnings due to matplotlib-1.5 together with numpy-1.13 +-warnings.filterwarnings('ignore', module='matplotlib[.]contour|numpy[.]ma[.]core') + # However, be sure to keep OUR deprecation warnings + warnings.filterwarnings('default', + '[\s\S]*See http://trac.sagemath.org/[0-9]* for details.') +diff --git a/src/sage/plot/arrow.py b/src/sage/plot/arrow.py +index 98d6224..fbce029 100644 +--- a/src/sage/plot/arrow.py ++++ b/src/sage/plot/arrow.py +@@ -147,8 +147,8 @@ class CurveArrow(GraphicPrimitive): + bpath = Path(self.vertices, self.codes) + p = FancyArrowPatch(path=bpath, + lw=width, arrowstyle='%s,head_width=%s,head_length=%s' % (style, head_width, head_length), +- fc=color, ec=color) +- p.set_linestyle(get_matplotlib_linestyle(options['linestyle'], return_type='long')) ++ fc=color, ec=color, ++ linestyle=get_matplotlib_linestyle(options['linestyle'], return_type='long')) + p.set_zorder(options['zorder']) + p.set_label(options['legend_label']) + subplot.add_patch(p) +@@ -336,7 +336,7 @@ class Arrow(GraphicPrimitive): + this into account. See :trac:`12836`:: + + sage: fig = Graphics().matplotlib() +- sage: sp = fig.add_subplot(1,1,1) ++ sage: sp = fig.add_subplot(1,1,1, label='axis1') + sage: a = arrow((0,0), (1,1)) + sage: b = arrow((0,0), (1,1), width=20) + sage: p1 = a[0]._render_on_subplot(sp) +@@ -358,7 +358,7 @@ class Arrow(GraphicPrimitive): + sage: a.save(filename=filename) + sage: with open(filename, 'r') as f: + ....: contents = f.read().replace('\n', ' ') +- sage: two_stroke_pattern = r'setdash.*stroke.*stroke.*setdash' ++ sage: two_stroke_pattern = r'setdash.*setdash.*stroke.*stroke.*setdash' + sage: import re + sage: two_stroke_re = re.compile(two_stroke_pattern) + sage: two_stroke_re.search(contents) is None +@@ -383,8 +383,8 @@ class Arrow(GraphicPrimitive): + lw=width, + arrowstyle='%s,head_width=%s,head_length=%s' % (style, head_width, head_length), + shrinkA=arrowshorten_end, shrinkB=arrowshorten_end, +- fc=color, ec=color) +- p.set_linestyle(get_matplotlib_linestyle(options['linestyle'], return_type='long')) ++ fc=color, ec=color, ++ linestyle=get_matplotlib_linestyle(options['linestyle'], return_type='long')) + p.set_zorder(options['zorder']) + p.set_label(options['legend_label']) + +@@ -437,7 +437,7 @@ class Arrow(GraphicPrimitive): + pe1.draw_path(renderer, gc, tpath, affine, rgbFace) + + pe1 = ConditionalStroke(CheckNthSubPath(p, 0), [pe.Stroke()]) +- pe2 = ConditionalStroke(CheckNthSubPath(p, 1), [pe.Stroke(linestyle="solid")]) ++ pe2 = ConditionalStroke(CheckNthSubPath(p, 1), [pe.Stroke(dashes={'dash_offset': 0, 'dash_list': None})]) + p.set_path_effects([pe1, pe2]) + + subplot.add_patch(p) +diff --git a/src/sage/plot/contour_plot.py b/src/sage/plot/contour_plot.py +index 76077e3..efc1f2b 100644 +--- a/src/sage/plot/contour_plot.py ++++ b/src/sage/plot/contour_plot.py +@@ -178,12 +178,10 @@ class ContourPlot(GraphicPrimitive): + if fill: + if contours is None: + CSF = subplot.contourf(self.xy_data_array, cmap=cmap, +- extent=(x0, x1, y0, y1), +- label=options['legend_label']) ++ extent=(x0, x1, y0, y1)) + else: + CSF = subplot.contourf(self.xy_data_array, contours, cmap=cmap, +- extent=(x0, x1, y0, y1), extend='both', +- label=options['legend_label']) ++ extent=(x0, x1, y0, y1), extend='both') + + linewidths = options.get('linewidths', None) + if isinstance(linewidths, (int, Integer)): +@@ -200,13 +198,11 @@ class ContourPlot(GraphicPrimitive): + if contours is None: + CS = subplot.contour(self.xy_data_array, cmap=cmap, + extent=(x0, x1, y0, y1), +- linewidths=linewidths, linestyles=linestyles, +- label=options['legend_label']) ++ linewidths=linewidths, linestyles=linestyles) + else: + CS = subplot.contour(self.xy_data_array, contours, cmap=cmap, + extent=(x0, x1, y0, y1), +- linewidths=linewidths, linestyles=linestyles, +- label=options['legend_label']) ++ linewidths=linewidths, linestyles=linestyles) + if options.get('labels', False): + label_options = options['label_options'] + label_options['fontsize'] = int(label_options['fontsize']) +diff --git a/src/sage/plot/plot.py b/src/sage/plot/plot.py +index aa82eda..03a0f3a 100644 +--- a/src/sage/plot/plot.py ++++ b/src/sage/plot/plot.py +@@ -478,7 +478,7 @@ We test that ``imshow`` works as well, verifying that + + :: + +- sage: plt.imshow([[(0,0,0)]]) ++ sage: plt.imshow([[(0.0,0.0,0.0)]]) + <matplotlib.image.AxesImage object at ...> + sage: plt.savefig(os.path.join(SAGE_TMP, 'foo.png')) + +@@ -2908,11 +2908,14 @@ def list_plot(data, plotjoined=False, **kwargs): + If ``plotjoined`` is ``False`` then the axis that is in log scale + must have all points strictly positive. For instance, the following + plot will show no points in the figure since the points in the +- horizontal axis starts from `(0,1)`. ++ horizontal axis starts from `(0,1)`. Further, matplotlib will display ++ a user warning. + + :: + + sage: list_plot(yl, scale='loglog') # both axes are log ++ doctest:warning ++ ... + Graphics object consisting of 1 graphics primitive + + Instead this will work. We drop the point `(0,1)`.:: +@@ -3288,12 +3291,15 @@ def list_plot_semilogy(data, plotjoined=False, **kwds): + + If ``plotjoined`` is ``False`` then the vertical axis must have all + points strictly positive. Otherwise the plot will come up empty. +- For instance the following plot contains a point at `(1,0)`. ++ For instance the following plot contains a point at `(1,0)`. Further, ++ matplotlib will display a user warning. + + :: + + sage: xl = [2**k for k in range(12)]; yl = range(len(xl)) + sage: list_plot_semilogy(list(zip(xl,yl))) # plot empty due to (1,0) ++ doctest:warning ++ ... + Graphics object consisting of 1 graphics primitive + + We remove `(1,0)` to fix this.:: +diff --git a/src/sage/plot/plot3d/list_plot3d.py b/src/sage/plot/plot3d/list_plot3d.py +index c9f22dd..be87ff2 100644 +--- a/src/sage/plot/plot3d/list_plot3d.py ++++ b/src/sage/plot/plot3d/list_plot3d.py +@@ -29,21 +29,20 @@ def list_plot3d(v, interpolation_type='default', texture="automatic", point_list + + OPTIONAL KEYWORDS: + +- - ``interpolation_type`` - 'linear', 'nn' (natural neighbor), 'spline' ++ - ``interpolation_type`` - 'linear', 'clough' (CloughTocher2D), 'spline' + + 'linear' will perform linear interpolation + +- The option 'nn' An interpolation method for multivariate data in a +- Delaunay triangulation. The value for an interpolation point is +- estimated using weighted values of the closest surrounding points in +- the triangulation. These points, the natural neighbors, are the ones +- the interpolation point would connect to if inserted into the +- triangulation. ++ The option 'clough' will interpolate by using a piecewise cubic interpolating ++ Bezier polynomial on each triangle, using a Clough-Tocher scheme. ++ The interpolant is guaranteed to be continuously differentiable. ++ The gradients of the interpolant are chosen so that the curvature of the ++ interpolating surface is approximatively minimized. + + The option 'spline' interpolates using a bivariate B-spline. + + When v is a matrix the default is to use linear interpolation, when +- v is a list of points the default is nearest neighbor. ++ v is a list of points the default is 'clough'. + + - ``degree`` - an integer between 1 and 5, controls the degree of spline + used for spline interpolation. For data that is highly oscillatory +@@ -320,18 +319,18 @@ def list_plot3d_tuples(v, interpolation_type, texture, **kwds): + + OPTIONAL KEYWORDS: + +- - ``interpolation_type`` - 'linear', 'nn' (natural neighbor), 'spline' ++ - ``interpolation_type`` - 'linear', 'clough' (CloughTocher2D), 'spline' + + 'linear' will perform linear interpolation + +- The option 'nn' will interpolate by using natural neighbors. The +- value for an interpolation point is estimated using weighted values +- of the closest surrounding points in the triangulation. ++ The option 'clough' will interpolate by using a piecewise cubic interpolating ++ Bezier polynomial on each triangle, using a Clough-Tocher scheme. ++ The interpolant is guaranteed to be continuously differentiable. + + The option 'spline' interpolates using a bivariate B-spline. + + When v is a matrix the default is to use linear interpolation, when +- v is a list of points the default is nearest neighbor. ++ v is a list of points the default is 'clough'. + + - ``degree`` - an integer between 1 and 5, controls the degree of spline + used for spline interpolation. For data that is highly oscillatory +@@ -373,7 +372,7 @@ def list_plot3d_tuples(v, interpolation_type, texture, **kwds): + sage: list_plot3d([(1, 2, 3), (0, 1, 3), (2, 1, 4), (1, 0, -2)], texture='yellow', num_points=50) + Graphics3d Object + """ +- from matplotlib import tri, delaunay ++ from matplotlib import tri + import numpy + import scipy + from random import random +@@ -439,19 +438,15 @@ def list_plot3d_tuples(v, interpolation_type, texture, **kwds): + G._set_extra_kwds(kwds) + return G + +- if interpolation_type == 'nn' or interpolation_type =='default': ++ if interpolation_type == 'clough' or interpolation_type =='default': + +- T=delaunay.Triangulation(x,y) +- f=T.nn_interpolator(z) +- f.default_value=0.0 +- j=numpy.complex(0,1) +- vals=f[ymin:ymax:j*num_points,xmin:xmax:j*num_points] ++ points=[[x[i],y[i]] for i in range(len(x))] ++ j = numpy.complex(0, 1) ++ f = interpolate.CloughTocher2DInterpolator(points,z) + from .parametric_surface import ParametricSurface +- def g(x,y): +- i=round( (x-xmin)/(xmax-xmin)*(num_points-1) ) +- j=round( (y-ymin)/(ymax-ymin)*(num_points-1) ) +- z=vals[int(j),int(i)] +- return (x,y,z) ++ def g(x, y): ++ z = f([x, y]) ++ return (x, y, z) + G = ParametricSurface(g, (list(numpy.r_[xmin:xmax:num_points*j]), list(numpy.r_[ymin:ymax:num_points*j])), texture=texture, **kwds) + G._set_extra_kwds(kwds) + return G +diff --git a/src/sage/probability/probability_distribution.pyx b/src/sage/probability/probability_distribution.pyx +index 3ce4642..f66cd89 100644 +--- a/src/sage/probability/probability_distribution.pyx ++++ b/src/sage/probability/probability_distribution.pyx +@@ -118,7 +118,7 @@ cdef class ProbabilityDistribution: + sage: P = [0.3, 0.4, 0.3] + sage: X = GeneralDiscreteDistribution(P) + sage: h, b = X.generate_histogram_data(bins = 10) +- sage: h ++ sage: h # rel tol 1e-08 + [1.6299999999999999, + 0.0, + 0.0, Added: sagemath-scipy-1.0.patch =================================================================== --- sagemath-scipy-1.0.patch (rev 0) +++ sagemath-scipy-1.0.patch 2017-12-15 23:13:50 UTC (rev 274543) @@ -0,0 +1,16 @@ +diff --git a/src/sage/numerical/optimize.py b/src/sage/numerical/optimize.py +index 17b5ebb84b..7ce9055cba 100644 +--- a/src/sage/numerical/optimize.py ++++ b/src/sage/numerical/optimize.py +@@ -486,9 +486,9 @@ def minimize_constrained(func,cons,x0,gradient=None,algorithm='default', **args) + else: + min = optimize.fmin_tnc(f, x0, approx_grad=True, bounds=cons, messages=0, **args)[0] + elif isinstance(cons[0], function_type) or isinstance(cons[0], Expression): +- min = optimize.fmin_cobyla(f, x0, cons, iprint=0, **args) ++ min = optimize.fmin_cobyla(f, x0, cons, **args) + elif isinstance(cons, function_type) or isinstance(cons, Expression): +- min = optimize.fmin_cobyla(f, x0, cons, iprint=0, **args) ++ min = optimize.fmin_cobyla(f, x0, cons, **args) + return vector(RDF, min) + +