Sat May 11 15:12:17 UTC 2024 I: starting to build einsteinpy/unstable/armhf on jenkins on '2024-05-11 15:12' Sat May 11 15:12:17 UTC 2024 I: The jenkins build log is/was available at https://jenkins.debian.net/userContent/reproducible/debian/build_service/armhf_3/5107/console.log Sat May 11 15:12:17 UTC 2024 I: Downloading source for unstable/einsteinpy=0.4.0-3 --2024-05-11 15:12:18-- http://deb.debian.org/debian/pool/main/e/einsteinpy/einsteinpy_0.4.0-3.dsc Connecting to 46.16.76.132:3128... connected. Proxy request sent, awaiting response... 200 OK Length: 2201 (2.1K) [text/prs.lines.tag] Saving to: ‘einsteinpy_0.4.0-3.dsc’ 0K .. 100% 340M=0s 2024-05-11 15:12:18 (340 MB/s) - ‘einsteinpy_0.4.0-3.dsc’ saved [2201/2201] Sat May 11 15:12:18 UTC 2024 I: einsteinpy_0.4.0-3.dsc -----BEGIN PGP SIGNED MESSAGE----- Hash: SHA512 Format: 3.0 (quilt) Source: einsteinpy Binary: python3-einsteinpy Architecture: all Version: 0.4.0-3 Maintainer: Debian Astronomy Team Uploaders: Shreyas Bapat Homepage: https://github.com/einsteinpy/einsteinpy Standards-Version: 4.6.2 Vcs-Browser: https://salsa.debian.org/debian-astro-team/einsteinpy Vcs-Git: https://salsa.debian.org/debian-astro-team/einsteinpy.git Testsuite: autopkgtest Testsuite-Triggers: python3-pytest Build-Depends: debhelper-compat (= 13), dh-python, python3-all, python3-astropy, python3-matplotlib, python3-numpy, python3-plotly, python3-pytest, python3-scipy, python3-setuptools, python3-sympy Package-List: python3-einsteinpy deb python optional arch=all Checksums-Sha1: 613963ecca5aa3f7b21f36a24c19a6dd12a2420a 30266763 einsteinpy_0.4.0.orig.tar.gz 64aeed542f083bf4b04326596052d95dec5ee74e 3640 einsteinpy_0.4.0-3.debian.tar.xz Checksums-Sha256: e26128e769d0971f490aea00477d6303bfea13dc8b4069eaa3f9d2bd5979bda2 30266763 einsteinpy_0.4.0.orig.tar.gz 4236b5653cc3366e36714fc448b9342a4ef1c4e024775fa2ae48b572765edc32 3640 einsteinpy_0.4.0-3.debian.tar.xz Files: 30735c784e73232683df217140556cd4 30266763 einsteinpy_0.4.0.orig.tar.gz 119aa5995964809340299fe731edc6ec 3640 einsteinpy_0.4.0-3.debian.tar.xz -----BEGIN PGP SIGNATURE----- iQIzBAEBCgAdFiEEuvxshffLFD/utvsVcRWv0HcQ3PcFAmWT5DIACgkQcRWv0HcQ 3PeMDBAAp8eJJ4CC3Cts6pJ/MgFhzEnfp8abkiLjjFVP6xjXjR2Ta+dDI8Nl5nd/ 36KY97FynShQCK0OExqCG9WcZujk8GeWqBwAL1WvHkJXqJo5aWcHfPAYBF6ZODUx itkfaRh3/OzhnurTxHMrOrMu1qztbdBqxMSbev6B9/3pCdPohI1bW/+Vf97V3erT 9pMjkhRxYB80cbjdAtF51GyARoGwxPUeoCeYAgHRhyx5w1I/3/6yFmkbW2fWnGQv VQCMvq1pWhHZp8++PjfnXS0iiTVY6cqvOsguPS9PisCylXmweZQDGRYZc4+qNiTA q7URGGMyygqg4pw7Axi+kv+rQHMfGxk4ebNYXpgOC5UuAXhO1OQp7TIyZdR++WDM Qfc0MEhrNksoQ55W3UECL5c31aJ2W8DbLkFNQqsa4q3hdGPNmqYGvjD87O1dEMvU 37R+/D4yfx2v9oAkyr6B2qV+r8ez37R0cKBBgaV80704v7To8e9hVQo/XV2WoWJP jkgL4B3pN2O8mDpb/duEu6VCeD2IJiWNAJYHuUrU6IzyMXoavq6U64ISEQHo4laH 551Uinmfrm1MS7em1Gwe80unDidqWXuDPYihMCSlOXi6/dALAoNrBOclqorUGpSo klbI6oorn/hl11am3ccr4s5AudnJs1yo02SEyhR6z5k4sTsfs80= =EyVK -----END PGP SIGNATURE----- Sat May 11 15:12:18 UTC 2024 I: Checking whether the package is not for us Sat May 11 15:12:18 UTC 2024 I: Starting 1st build on remote node ff4a-armhf-rb.debian.net. Sat May 11 15:12:18 UTC 2024 I: Preparing to do remote build '1' on ff4a-armhf-rb.debian.net. Sat May 11 15:45:04 UTC 2024 I: Deleting $TMPDIR on ff4a-armhf-rb.debian.net. I: pbuilder: network access will be disabled during build I: Current time: Sat May 11 03:12:29 -12 2024 I: pbuilder-time-stamp: 1715440349 I: Building the build Environment I: extracting base tarball [/var/cache/pbuilder/unstable-reproducible-base.tgz] I: copying local configuration W: --override-config is not set; not updating apt.conf Read the manpage for details. I: mounting /proc filesystem I: mounting /sys filesystem I: creating /{dev,run}/shm I: mounting /dev/pts filesystem I: redirecting /dev/ptmx to /dev/pts/ptmx I: policy-rc.d already exists I: Copying source file I: copying [einsteinpy_0.4.0-3.dsc] I: copying [./einsteinpy_0.4.0.orig.tar.gz] I: copying [./einsteinpy_0.4.0-3.debian.tar.xz] I: Extracting source gpgv: Signature made Tue Jan 2 10:23:46 2024 gpgv: using RSA key BAFC6C85F7CB143FEEB6FB157115AFD07710DCF7 gpgv: Can't check signature: No public key dpkg-source: warning: cannot verify inline signature for ./einsteinpy_0.4.0-3.dsc: no acceptable signature found dpkg-source: info: extracting einsteinpy in einsteinpy-0.4.0 dpkg-source: info: unpacking einsteinpy_0.4.0.orig.tar.gz dpkg-source: info: unpacking einsteinpy_0.4.0-3.debian.tar.xz dpkg-source: info: using patch list from debian/patches/series dpkg-source: info: applying Fix-numpy-1.24-compatibility.patch dpkg-source: info: applying Fixes-NameError-for-numpy-in-tensor_lambdify.patch I: using fakeroot in build. I: Installing the build-deps I: user script /srv/workspace/pbuilder/7038/tmp/hooks/D02_print_environment starting I: set BUILDDIR='/build/reproducible-path' BUILDUSERGECOS='first user,first room,first work-phone,first home-phone,first other' BUILDUSERNAME='pbuilder1' BUILD_ARCH='armhf' DEBIAN_FRONTEND='noninteractive' DEB_BUILD_OPTIONS='buildinfo=+all reproducible=+all parallel=3 ' DISTRIBUTION='unstable' HOME='/root' HOST_ARCH='armhf' IFS=' ' INVOCATION_ID='f62d9693ce974d288e41e188ba7e3ad4' LANG='C' LANGUAGE='en_US:en' LC_ALL='C' MAIL='/var/mail/root' OPTIND='1' PATH='/usr/sbin:/usr/bin:/sbin:/bin:/usr/games' PBCURRENTCOMMANDLINEOPERATION='build' PBUILDER_OPERATION='build' PBUILDER_PKGDATADIR='/usr/share/pbuilder' PBUILDER_PKGLIBDIR='/usr/lib/pbuilder' PBUILDER_SYSCONFDIR='/etc' PPID='7038' PS1='# ' PS2='> ' PS4='+ ' PWD='/' SHELL='/bin/bash' SHLVL='2' SUDO_COMMAND='/usr/bin/timeout -k 18.1h 18h /usr/bin/ionice -c 3 /usr/bin/nice /usr/sbin/pbuilder --build --configfile /srv/reproducible-results/rbuild-debian/r-b-build.oJQEZH8D/pbuilderrc_cRtf --distribution unstable --hookdir /etc/pbuilder/first-build-hooks --debbuildopts -b --basetgz /var/cache/pbuilder/unstable-reproducible-base.tgz --buildresult /srv/reproducible-results/rbuild-debian/r-b-build.oJQEZH8D/b1 --logfile b1/build.log einsteinpy_0.4.0-3.dsc' SUDO_GID='113' SUDO_UID='107' SUDO_USER='jenkins' TERM='unknown' TZ='/usr/share/zoneinfo/Etc/GMT+12' USER='root' _='/usr/bin/systemd-run' http_proxy='http://10.0.0.15:3142/' I: uname -a Linux ff4a 6.1.0-21-armmp-lpae #1 SMP Debian 6.1.90-1 (2024-05-03) armv7l GNU/Linux I: ls -l /bin lrwxrwxrwx 1 root root 7 May 10 07:45 /bin -> usr/bin I: user script /srv/workspace/pbuilder/7038/tmp/hooks/D02_print_environment finished -> Attempting to satisfy build-dependencies -> Creating pbuilder-satisfydepends-dummy package Package: pbuilder-satisfydepends-dummy Version: 0.invalid.0 Architecture: armhf Maintainer: Debian Pbuilder Team Description: Dummy package to satisfy dependencies with aptitude - created by pbuilder This package was created automatically by pbuilder to satisfy the build-dependencies of the package being currently built. Depends: debhelper-compat (= 13), dh-python, python3-all, python3-astropy, python3-matplotlib, python3-numpy, python3-plotly, python3-pytest, python3-scipy, python3-setuptools, python3-sympy dpkg-deb: building package 'pbuilder-satisfydepends-dummy' in '/tmp/satisfydepends-aptitude/pbuilder-satisfydepends-dummy.deb'. Selecting previously unselected package pbuilder-satisfydepends-dummy. (Reading database ... 19445 files and directories currently installed.) Preparing to unpack .../pbuilder-satisfydepends-dummy.deb ... Unpacking pbuilder-satisfydepends-dummy (0.invalid.0) ... dpkg: pbuilder-satisfydepends-dummy: dependency problems, but configuring anyway as you requested: pbuilder-satisfydepends-dummy depends on debhelper-compat (= 13); however: Package debhelper-compat is not installed. pbuilder-satisfydepends-dummy depends on dh-python; however: Package dh-python is not installed. pbuilder-satisfydepends-dummy depends on python3-all; however: Package python3-all is not installed. pbuilder-satisfydepends-dummy depends on python3-astropy; however: Package python3-astropy is not installed. pbuilder-satisfydepends-dummy depends on python3-matplotlib; however: Package python3-matplotlib is not installed. pbuilder-satisfydepends-dummy depends on python3-numpy; however: Package python3-numpy is not installed. pbuilder-satisfydepends-dummy depends on python3-plotly; however: Package python3-plotly is not installed. pbuilder-satisfydepends-dummy depends on python3-pytest; however: Package python3-pytest is not installed. pbuilder-satisfydepends-dummy depends on python3-scipy; however: Package python3-scipy is not installed. pbuilder-satisfydepends-dummy depends on python3-setuptools; however: Package python3-setuptools is not installed. pbuilder-satisfydepends-dummy depends on python3-sympy; however: Package python3-sympy is not installed. Setting up pbuilder-satisfydepends-dummy (0.invalid.0) ... Reading package lists... Building dependency tree... Reading state information... Initializing package states... Writing extended state information... Building tag database... pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) pbuilder-satisfydepends-dummy is already installed at the requested version (0.invalid.0) The following NEW packages will be installed: autoconf{a} automake{a} autopoint{a} autotools-dev{a} blt{a} bsdextrautils{a} ca-certificates{a} debhelper{a} dh-autoreconf{a} dh-python{a} dh-strip-nondeterminism{a} dwz{a} file{a} fontconfig-config{a} fonts-dejavu-core{a} fonts-dejavu-mono{a} fonts-lyx{a} gettext{a} gettext-base{a} groff-base{a} intltool-debian{a} libarchive-zip-perl{a} libblas3{a} libbrotli1{a} libbsd0{a} libdebhelper-perl{a} libdeflate0{a} libelf1t64{a} liberfa1{a} libexpat1{a} libfile-stripnondeterminism-perl{a} libfontconfig1{a} libfreetype6{a} libfribidi0{a} libgfortran5{a} libglib2.0-0t64{a} libgraphite2-3{a} libharfbuzz0b{a} libicu72{a} libimagequant0{a} libjbig0{a} libjpeg62-turbo{a} libjs-jquery{a} libjs-jquery-hotkeys{a} libjs-jquery-isonscreen{a} libjs-jquery-metadata{a} libjs-jquery-tablesorter{a} libjs-jquery-throttle-debounce{a} libjs-jquery-ui{a} libjs-sphinxdoc{a} libjs-underscore{a} liblapack3{a} liblbfgsb0{a} liblcms2-2{a} liblerc4{a} libmagic-mgc{a} libmagic1t64{a} libopenjp2-7{a} libpipeline1{a} libpng16-16t64{a} libpython3-stdlib{a} libpython3.11-minimal{a} libpython3.11-stdlib{a} libpython3.12-minimal{a} libpython3.12-stdlib{a} libqhull-r8.0{a} libraqm0{a} libreadline8t64{a} libsharpyuv0{a} libsub-override-perl{a} libtcl8.6{a} libtiff6{a} libtk8.6{a} libtool{a} libuchardet0{a} libwcs8{a} libwebp7{a} libwebpdemux2{a} libwebpmux3{a} libx11-6{a} libx11-data{a} libxau6{a} libxcb1{a} libxdmcp6{a} libxext6{a} libxft2{a} libxml2{a} libxrender1{a} libxslt1.1{a} libxss1{a} libyaml-0-2{a} m4{a} man-db{a} media-types{a} netbase{a} openssl{a} po-debconf{a} python-matplotlib-data{a} python3{a} python3-all{a} python3-appdirs{a} python3-astropy{a} python3-astropy-iers-data{a} python3-attr{a} python3-brotli{a} python3-certifi{a} python3-chardet{a} python3-charset-normalizer{a} python3-configobj{a} python3-contourpy{a} python3-coverage{a} python3-cycler{a} python3-dateutil{a} python3-decorator{a} python3-distutils{a} python3-erfa{a} python3-fastjsonschema{a} python3-fonttools{a} python3-fs{a} python3-hatch-vcs{a} python3-hatchling{a} python3-hypothesis{a} python3-idna{a} python3-iniconfig{a} python3-jsonschema{a} python3-jsonschema-specifications{a} python3-jupyter-core{a} python3-kiwisolver{a} python3-lib2to3{a} python3-lxml{a} python3-lz4{a} python3-matplotlib{a} python3-minimal{a} python3-mpmath{a} python3-nbformat{a} python3-numpy{a} python3-packaging{a} python3-pathspec{a} python3-pil{a} python3-pil.imagetk{a} python3-pkg-resources{a} python3-platformdirs{a} python3-plotly{a} python3-pluggy{a} python3-ply{a} python3-pyparsing{a} python3-pytest{a} python3-pytest-arraydiff{a} python3-pytest-astropy{a} python3-pytest-astropy-header{a} python3-pytest-cov{a} python3-pytest-doctestplus{a} python3-pytest-filter-subpackage{a} python3-pytest-mock{a} python3-pytest-remotedata{a} python3-referencing{a} python3-requests{a} python3-rpds-py{a} python3-scipy{a} python3-setuptools{a} python3-setuptools-scm{a} python3-six{a} python3-sortedcontainers{a} python3-sympy{a} python3-tenacity{a} python3-tk{a} python3-traitlets{a} python3-trove-classifiers{a} python3-typing-extensions{a} python3-tz{a} python3-ufolib2{a} python3-urllib3{a} python3-yaml{a} python3.11{a} python3.11-minimal{a} python3.12{a} python3.12-minimal{a} readline-common{a} sensible-utils{a} tk8.6-blt2.5{a} tzdata{a} unicode-data{a} x11-common{a} The following packages are RECOMMENDED but will NOT be installed: curl isympy-common javascript-common libarchive-cpio-perl libglib2.0-data libjs-jquery-datatables libltdl-dev libmail-sendmail-perl lynx python3-bs4 python3-click python3-cssselect python3-html5lib python3-json-pointer python3-olefile python3-pygments python3-rfc3987 python3-uritemplate python3-webcolors shared-mime-info wget xdg-user-dirs 0 packages upgraded, 183 newly installed, 0 to remove and 0 not upgraded. Need to get 108 MB of archives. After unpacking 475 MB will be used. Writing extended state information... Get: 1 http://deb.debian.org/debian unstable/main armhf libjs-jquery all 3.6.1+dfsg+~3.5.14-1 [326 kB] Get: 2 http://deb.debian.org/debian unstable/main armhf libjs-jquery-hotkeys all 0~20130707+git2d51e3a9+dfsg-2.1 [11.5 kB] Get: 3 http://deb.debian.org/debian unstable/main armhf libpython3.11-minimal armhf 3.11.9-1 [805 kB] Get: 4 http://deb.debian.org/debian unstable/main armhf libexpat1 armhf 2.6.2-1 [83.5 kB] Get: 5 http://deb.debian.org/debian unstable/main armhf python3.11-minimal armhf 3.11.9-1 [1600 kB] Get: 6 http://deb.debian.org/debian unstable/main armhf python3-minimal armhf 3.11.8-1 [26.3 kB] Get: 7 http://deb.debian.org/debian unstable/main armhf media-types all 10.1.0 [26.9 kB] Get: 8 http://deb.debian.org/debian unstable/main armhf netbase all 6.4 [12.8 kB] Get: 9 http://deb.debian.org/debian unstable/main armhf tzdata all 2024a-4 [255 kB] Get: 10 http://deb.debian.org/debian unstable/main armhf readline-common all 8.2-4 [69.3 kB] Get: 11 http://deb.debian.org/debian unstable/main armhf libreadline8t64 armhf 8.2-4 [145 kB] Get: 12 http://deb.debian.org/debian unstable/main armhf libpython3.11-stdlib armhf 3.11.9-1 [1704 kB] Get: 13 http://deb.debian.org/debian unstable/main armhf python3.11 armhf 3.11.9-1 [602 kB] Get: 14 http://deb.debian.org/debian unstable/main armhf libpython3-stdlib armhf 3.11.8-1 [9332 B] Get: 15 http://deb.debian.org/debian unstable/main armhf python3 armhf 3.11.8-1 [27.4 kB] Get: 16 http://deb.debian.org/debian unstable/main armhf libpython3.12-minimal armhf 3.12.3-1 [795 kB] Get: 17 http://deb.debian.org/debian unstable/main armhf python3.12-minimal armhf 3.12.3-1 [1783 kB] Get: 18 http://deb.debian.org/debian unstable/main armhf sensible-utils all 0.0.22 [22.4 kB] Get: 19 http://deb.debian.org/debian unstable/main armhf openssl armhf 3.2.1-3 [1326 kB] Get: 20 http://deb.debian.org/debian unstable/main armhf ca-certificates all 20240203 [158 kB] Get: 21 http://deb.debian.org/debian unstable/main armhf libmagic-mgc armhf 1:5.45-3 [314 kB] Get: 22 http://deb.debian.org/debian unstable/main armhf libmagic1t64 armhf 1:5.45-3 [98.1 kB] Get: 23 http://deb.debian.org/debian unstable/main armhf file armhf 1:5.45-3 [42.0 kB] Get: 24 http://deb.debian.org/debian unstable/main armhf gettext-base armhf 0.21-14+b1 [157 kB] Get: 25 http://deb.debian.org/debian unstable/main armhf libuchardet0 armhf 0.0.8-1+b1 [65.7 kB] Get: 26 http://deb.debian.org/debian unstable/main armhf groff-base armhf 1.23.0-4 [1090 kB] Get: 27 http://deb.debian.org/debian unstable/main armhf bsdextrautils armhf 2.40-8 [85.6 kB] Get: 28 http://deb.debian.org/debian unstable/main armhf libpipeline1 armhf 1.5.7-2 [33.3 kB] Get: 29 http://deb.debian.org/debian unstable/main armhf man-db armhf 2.12.1-1 [1375 kB] Get: 30 http://deb.debian.org/debian unstable/main armhf m4 armhf 1.4.19-4 [264 kB] Get: 31 http://deb.debian.org/debian unstable/main armhf autoconf all 2.71-3 [332 kB] Get: 32 http://deb.debian.org/debian unstable/main armhf autotools-dev all 20220109.1 [51.6 kB] Get: 33 http://deb.debian.org/debian unstable/main armhf automake all 1:1.16.5-1.3 [823 kB] Get: 34 http://deb.debian.org/debian unstable/main armhf autopoint all 0.21-14 [496 kB] Get: 35 http://deb.debian.org/debian unstable/main armhf libtcl8.6 armhf 8.6.14+dfsg-1 [928 kB] Get: 36 http://deb.debian.org/debian unstable/main armhf libbrotli1 armhf 1.1.0-2+b3 [284 kB] Get: 37 http://deb.debian.org/debian unstable/main armhf libpng16-16t64 armhf 1.6.43-5 [262 kB] Get: 38 http://deb.debian.org/debian unstable/main armhf libfreetype6 armhf 2.13.2+dfsg-1+b4 [372 kB] Get: 39 http://deb.debian.org/debian unstable/main armhf fonts-dejavu-mono all 2.37-8 [489 kB] Get: 40 http://deb.debian.org/debian unstable/main armhf fonts-dejavu-core all 2.37-8 [840 kB] Get: 41 http://deb.debian.org/debian unstable/main armhf fontconfig-config armhf 2.15.0-1.1 [317 kB] Get: 42 http://deb.debian.org/debian unstable/main armhf libfontconfig1 armhf 2.15.0-1.1 [370 kB] Get: 43 http://deb.debian.org/debian unstable/main armhf libxau6 armhf 1:1.0.9-1+b1 [17.4 kB] Get: 44 http://deb.debian.org/debian unstable/main armhf libbsd0 armhf 0.12.2-1 [127 kB] Get: 45 http://deb.debian.org/debian unstable/main armhf libxdmcp6 armhf 1:1.1.2-3+b1 [23.0 kB] Get: 46 http://deb.debian.org/debian unstable/main armhf libxcb1 armhf 1.17.0-1 [140 kB] Get: 47 http://deb.debian.org/debian unstable/main armhf libx11-data all 2:1.8.7-1 [328 kB] Get: 48 http://deb.debian.org/debian unstable/main armhf libx11-6 armhf 2:1.8.7-1+b1 [739 kB] Get: 49 http://deb.debian.org/debian unstable/main armhf libxrender1 armhf 1:0.9.10-1.1+b1 [24.9 kB] Get: 50 http://deb.debian.org/debian unstable/main armhf libxft2 armhf 2.3.6-1+b1 [46.4 kB] Get: 51 http://deb.debian.org/debian unstable/main armhf libxext6 armhf 2:1.3.4-1+b1 [47.8 kB] Get: 52 http://deb.debian.org/debian unstable/main armhf x11-common all 1:7.7+23 [252 kB] Get: 53 http://deb.debian.org/debian unstable/main armhf libxss1 armhf 1:1.2.3-1+b1 [16.4 kB] Get: 54 http://deb.debian.org/debian unstable/main armhf libtk8.6 armhf 8.6.14-1 [693 kB] Get: 55 http://deb.debian.org/debian unstable/main armhf tk8.6-blt2.5 armhf 2.5.3+dfsg-7 [481 kB] Get: 56 http://deb.debian.org/debian unstable/main armhf blt armhf 2.5.3+dfsg-7 [6024 B] Get: 57 http://deb.debian.org/debian unstable/main armhf libdebhelper-perl all 13.15.3 [88.0 kB] Get: 58 http://deb.debian.org/debian unstable/main armhf libtool all 2.4.7-7 [517 kB] Get: 59 http://deb.debian.org/debian unstable/main armhf dh-autoreconf all 20 [17.1 kB] Get: 60 http://deb.debian.org/debian unstable/main armhf libarchive-zip-perl all 1.68-1 [104 kB] Get: 61 http://deb.debian.org/debian unstable/main armhf libsub-override-perl all 0.10-1 [10.6 kB] Get: 62 http://deb.debian.org/debian unstable/main armhf libfile-stripnondeterminism-perl all 1.13.1-1 [19.4 kB] Get: 63 http://deb.debian.org/debian unstable/main armhf dh-strip-nondeterminism all 1.13.1-1 [8620 B] Get: 64 http://deb.debian.org/debian unstable/main armhf libelf1t64 armhf 0.191-1+b1 [183 kB] Get: 65 http://deb.debian.org/debian unstable/main armhf dwz armhf 0.15-1+b2 [106 kB] Get: 66 http://deb.debian.org/debian unstable/main armhf libicu72 armhf 72.1-4+b1 [9070 kB] Get: 67 http://deb.debian.org/debian unstable/main armhf libxml2 armhf 2.9.14+dfsg-1.3+b3 [598 kB] Get: 68 http://deb.debian.org/debian unstable/main armhf gettext armhf 0.21-14+b1 [1230 kB] Get: 69 http://deb.debian.org/debian unstable/main armhf intltool-debian all 0.35.0+20060710.6 [22.9 kB] Get: 70 http://deb.debian.org/debian unstable/main armhf po-debconf all 1.0.21+nmu1 [248 kB] Get: 71 http://deb.debian.org/debian unstable/main armhf debhelper all 13.15.3 [901 kB] Get: 72 http://deb.debian.org/debian unstable/main armhf python3-pkg-resources all 68.1.2-2 [241 kB] Get: 73 http://deb.debian.org/debian unstable/main armhf python3-lib2to3 all 3.12.3-1 [77.6 kB] Get: 74 http://deb.debian.org/debian unstable/main armhf python3-distutils all 3.12.3-1 [131 kB] Get: 75 http://deb.debian.org/debian unstable/main armhf python3-setuptools all 68.1.2-2 [468 kB] Get: 76 http://deb.debian.org/debian unstable/main armhf dh-python all 6.20240422 [107 kB] Get: 77 http://deb.debian.org/debian unstable/main armhf fonts-lyx all 2.4.0~RC4-1 [189 kB] Get: 78 http://deb.debian.org/debian unstable/main armhf libblas3 armhf 3.12.0-3 [108 kB] Get: 79 http://deb.debian.org/debian unstable/main armhf libdeflate0 armhf 1.20-1 [35.9 kB] Get: 80 http://deb.debian.org/debian unstable/main armhf liberfa1 armhf 2.0.1-1+b1 [119 kB] Get: 81 http://deb.debian.org/debian unstable/main armhf libfribidi0 armhf 1.0.13-3+b1 [69.4 kB] Get: 82 http://deb.debian.org/debian unstable/main armhf libgfortran5 armhf 14-20240429-1 [263 kB] Get: 83 http://deb.debian.org/debian unstable/main armhf libglib2.0-0t64 armhf 2.80.2-1 [1314 kB] Get: 84 http://deb.debian.org/debian unstable/main armhf libgraphite2-3 armhf 1.3.14-2 [63.2 kB] Get: 85 http://deb.debian.org/debian unstable/main armhf libharfbuzz0b armhf 8.3.0-2+b1 [2156 kB] Get: 86 http://deb.debian.org/debian unstable/main armhf libimagequant0 armhf 2.18.0-1+b1 [30.7 kB] Get: 87 http://deb.debian.org/debian unstable/main armhf libjbig0 armhf 2.1-6.1+b1 [27.3 kB] Get: 88 http://deb.debian.org/debian unstable/main armhf libjpeg62-turbo armhf 1:2.1.5-3 [143 kB] Get: 89 http://deb.debian.org/debian unstable/main armhf libjs-jquery-isonscreen all 1.2.0-1.1 [3196 B] Get: 90 http://deb.debian.org/debian unstable/main armhf libjs-jquery-metadata all 12-4 [6532 B] Get: 91 http://deb.debian.org/debian unstable/main armhf libjs-jquery-tablesorter all 1:2.31.3+dfsg1-3 [184 kB] Get: 92 http://deb.debian.org/debian unstable/main armhf libjs-jquery-throttle-debounce all 1.1+dfsg.1-2 [12.2 kB] Get: 93 http://deb.debian.org/debian unstable/main armhf libjs-jquery-ui all 1.13.2+dfsg-1 [250 kB] Get: 94 http://deb.debian.org/debian unstable/main armhf libjs-underscore all 1.13.4~dfsg+~1.11.4-3 [116 kB] Get: 95 http://deb.debian.org/debian unstable/main armhf libjs-sphinxdoc all 7.2.6-6 [150 kB] Get: 96 http://deb.debian.org/debian unstable/main armhf liblapack3 armhf 3.12.0-3 [1803 kB] Get: 97 http://deb.debian.org/debian unstable/main armhf liblbfgsb0 armhf 3.0+dfsg.4-1+b1 [25.5 kB] Get: 98 http://deb.debian.org/debian unstable/main armhf liblcms2-2 armhf 2.14-2+b1 [126 kB] Get: 99 http://deb.debian.org/debian unstable/main armhf liblerc4 armhf 4.0.0+ds-4+b1 [137 kB] Get: 100 http://deb.debian.org/debian unstable/main armhf libopenjp2-7 armhf 2.5.0-2+b3 [170 kB] Get: 101 http://deb.debian.org/debian unstable/main armhf libpython3.12-stdlib armhf 3.12.3-1 [1808 kB] Get: 102 http://deb.debian.org/debian unstable/main armhf libqhull-r8.0 armhf 2020.2-6+b1 [219 kB] Get: 103 http://deb.debian.org/debian unstable/main armhf libraqm0 armhf 0.10.1-1+b1 [11.8 kB] Get: 104 http://deb.debian.org/debian unstable/main armhf libsharpyuv0 armhf 1.4.0-0.1 [111 kB] Get: 105 http://deb.debian.org/debian unstable/main armhf libwebp7 armhf 1.4.0-0.1 [265 kB] Get: 106 http://deb.debian.org/debian unstable/main armhf libtiff6 armhf 4.5.1+git230720-4 [301 kB] Get: 107 http://deb.debian.org/debian unstable/main armhf libwcs8 armhf 8.2.2+ds-3+b2 [246 kB] Get: 108 http://deb.debian.org/debian unstable/main armhf libwebpdemux2 armhf 1.4.0-0.1 [110 kB] Get: 109 http://deb.debian.org/debian unstable/main armhf libwebpmux3 armhf 1.4.0-0.1 [120 kB] Get: 110 http://deb.debian.org/debian unstable/main armhf libxslt1.1 armhf 1.1.35-1+b1 [212 kB] Get: 111 http://deb.debian.org/debian unstable/main armhf libyaml-0-2 armhf 0.2.5-1+b1 [45.5 kB] Get: 112 http://deb.debian.org/debian unstable/main armhf python-matplotlib-data all 3.6.3-2 [2744 kB] Get: 113 http://deb.debian.org/debian unstable/main armhf python3.12 armhf 3.12.3-1 [659 kB] Get: 114 http://deb.debian.org/debian unstable/main armhf python3-all armhf 3.11.8-1 [1056 B] Get: 115 http://deb.debian.org/debian unstable/main armhf python3-appdirs all 1.4.4-4 [12.5 kB] Get: 116 http://deb.debian.org/debian unstable/main armhf python3-configobj all 5.0.8-3 [33.9 kB] Get: 117 http://deb.debian.org/debian unstable/main armhf python3-iniconfig all 1.1.1-2 [6396 B] Get: 118 http://deb.debian.org/debian unstable/main armhf python3-packaging all 24.0-1 [45.5 kB] Get: 119 http://deb.debian.org/debian unstable/main armhf python3-pluggy all 1.5.0-1 [26.9 kB] Get: 120 http://deb.debian.org/debian unstable/main armhf python3-pytest all 8.1.2-1 [246 kB] Get: 121 http://deb.debian.org/debian unstable/main armhf python3-attr all 23.2.0-2 [65.5 kB] Get: 122 http://deb.debian.org/debian unstable/main armhf python3-six all 1.16.0-6 [16.3 kB] Get: 123 http://deb.debian.org/debian unstable/main armhf python3-dateutil all 2.9.0-2 [79.4 kB] Get: 124 http://deb.debian.org/debian unstable/main armhf python3-sortedcontainers all 2.4.0-2 [31.9 kB] Get: 125 http://deb.debian.org/debian unstable/main armhf python3-hypothesis all 6.100.4-1 [314 kB] Get: 126 http://deb.debian.org/debian unstable/main armhf python3-numpy armhf 1:1.26.4+ds-8 [4132 kB] Get: 127 http://deb.debian.org/debian unstable/main armhf python3-pytest-arraydiff all 0.6.1-3 [10.5 kB] Get: 128 http://deb.debian.org/debian unstable/main armhf python3-pytest-astropy-header all 0.2.2-1 [8676 B] Get: 129 http://deb.debian.org/debian unstable/main armhf python3-coverage armhf 7.2.7+dfsg1-1+b1 [168 kB] Get: 130 http://deb.debian.org/debian unstable/main armhf python3-pytest-cov all 5.0.0-1 [26.8 kB] Get: 131 http://deb.debian.org/debian unstable/main armhf python3-pytest-doctestplus all 1.2.1-1 [25.1 kB] Get: 132 http://deb.debian.org/debian unstable/main armhf python3-pytest-filter-subpackage all 0.2.0-1 [6312 B] Get: 133 http://deb.debian.org/debian unstable/main armhf python3-pytest-mock all 3.12.0-1.1 [17.6 kB] Get: 134 http://deb.debian.org/debian unstable/main armhf python3-pytest-remotedata all 0.4.1-1 [9292 B] Get: 135 http://deb.debian.org/debian unstable/main armhf python3-pytest-astropy all 0.11.0-1 [6716 B] Get: 136 http://deb.debian.org/debian unstable/main armhf python3-ply all 3.11-6 [63.7 kB] Get: 137 http://deb.debian.org/debian unstable/main armhf python3-astropy-iers-data all 0.2024.04.08.00.32.04-1 [1076 kB] Get: 138 http://deb.debian.org/debian unstable/main armhf python3-erfa armhf 2.0.1.4+ds-1 [303 kB] Get: 139 http://deb.debian.org/debian unstable/main armhf python3-yaml armhf 6.0.1-2 [162 kB] Get: 140 http://deb.debian.org/debian unstable/main armhf python3-astropy armhf 6.0.1-4 [3858 kB] Get: 141 http://deb.debian.org/debian unstable/main armhf python3-brotli armhf 1.1.0-2+b3 [304 kB] Get: 142 http://deb.debian.org/debian unstable/main armhf python3-certifi all 2023.11.17-1 [155 kB] Get: 143 http://deb.debian.org/debian unstable/main armhf python3-chardet all 5.2.0+dfsg-1 [107 kB] Get: 144 http://deb.debian.org/debian unstable/main armhf python3-charset-normalizer all 3.3.2-1 [51.6 kB] Get: 145 http://deb.debian.org/debian unstable/main armhf python3-contourpy armhf 1.0.7-3 [231 kB] Get: 146 http://deb.debian.org/debian unstable/main armhf python3-cycler all 0.12.1-1 [9496 B] Get: 147 http://deb.debian.org/debian unstable/main armhf python3-decorator all 5.1.1-5 [15.1 kB] Get: 148 http://deb.debian.org/debian unstable/main armhf python3-fastjsonschema all 2.19.1-1 [21.3 kB] Get: 149 http://deb.debian.org/debian unstable/main armhf python3-scipy armhf 1.11.4-6 [16.9 MB] Get: 150 http://deb.debian.org/debian unstable/main armhf python3-typing-extensions all 4.10.0-1 [66.2 kB] Get: 151 http://deb.debian.org/debian unstable/main armhf python3-ufolib2 all 0.16.0+dfsg1-1 [32.9 kB] Get: 152 http://deb.debian.org/debian unstable/main armhf python3-mpmath all 1.3.0-1 [419 kB] Get: 153 http://deb.debian.org/debian unstable/main armhf python3-sympy all 1.12-7 [3869 kB] Get: 154 http://deb.debian.org/debian unstable/main armhf python3-tz all 2024.1-2 [30.9 kB] Get: 155 http://deb.debian.org/debian unstable/main armhf python3-fs all 2.4.16-4 [95.4 kB] Get: 156 http://deb.debian.org/debian unstable/main armhf python3-lxml armhf 5.2.1-1 [1788 kB] Get: 157 http://deb.debian.org/debian unstable/main armhf python3-lz4 armhf 4.0.2+dfsg-1+b3 [24.4 kB] Get: 158 http://deb.debian.org/debian unstable/main armhf unicode-data all 15.1.0-1 [8547 kB] Get: 159 http://deb.debian.org/debian unstable/main armhf python3-fonttools armhf 4.46.0-1 [1536 kB] Get: 160 http://deb.debian.org/debian unstable/main armhf python3-pathspec all 0.12.1-1 [28.1 kB] Get: 161 http://deb.debian.org/debian unstable/main armhf python3-trove-classifiers all 2024.1.31-1 [9968 B] Get: 162 http://deb.debian.org/debian unstable/main armhf python3-hatchling all 1.24.2-1 [53.2 kB] Get: 163 http://deb.debian.org/debian unstable/main armhf python3-setuptools-scm all 8.0.4-2 [39.5 kB] Get: 164 http://deb.debian.org/debian unstable/main armhf python3-hatch-vcs all 0.4.0-1 [8336 B] Get: 165 http://deb.debian.org/debian unstable/main armhf python3-idna all 3.6-2 [37.0 kB] Get: 166 http://deb.debian.org/debian unstable/main armhf python3-rpds-py armhf 0.12.0-3 [224 kB] Get: 167 http://deb.debian.org/debian unstable/main armhf python3-referencing all 0.31.0-1 [22.2 kB] Get: 168 http://deb.debian.org/debian unstable/main armhf python3-jsonschema-specifications all 2023.12.1-1 [8976 B] Get: 169 http://deb.debian.org/debian unstable/main armhf python3-jsonschema all 4.19.2-2 [71.2 kB] Get: 170 http://deb.debian.org/debian unstable/main armhf python3-platformdirs all 4.2.1-1 [16.0 kB] Get: 171 http://deb.debian.org/debian unstable/main armhf python3-traitlets all 5.14.3-1 [70.7 kB] Get: 172 http://deb.debian.org/debian unstable/main armhf python3-jupyter-core all 5.3.2-1 [31.5 kB] Get: 173 http://deb.debian.org/debian unstable/main armhf python3-kiwisolver armhf 1.4.5-1 [69.0 kB] Get: 174 http://deb.debian.org/debian unstable/main armhf python3-pil armhf 10.3.0-2 [521 kB] Get: 175 http://deb.debian.org/debian unstable/main armhf python3-tk armhf 3.12.3-1 [105 kB] Get: 176 http://deb.debian.org/debian unstable/main armhf python3-pil.imagetk armhf 10.3.0-2 [79.1 kB] Get: 177 http://deb.debian.org/debian unstable/main armhf python3-pyparsing all 3.1.2-1 [146 kB] Get: 178 http://deb.debian.org/debian unstable/main armhf python3-matplotlib armhf 3.6.3-2 [7907 kB] Get: 179 http://deb.debian.org/debian unstable/main armhf python3-nbformat all 5.9.1-1 [45.1 kB] Get: 180 http://deb.debian.org/debian unstable/main armhf python3-urllib3 all 1.26.18-2 [116 kB] Get: 181 http://deb.debian.org/debian unstable/main armhf python3-requests all 2.31.0+dfsg-1 [68.6 kB] Get: 182 http://deb.debian.org/debian unstable/main armhf python3-tenacity all 8.2.3-2 [43.8 kB] Get: 183 http://deb.debian.org/debian unstable/main armhf python3-plotly all 5.20.0+dfsg-1 [2726 kB] Fetched 108 MB in 10s (10.8 MB/s) debconf: delaying package configuration, since apt-utils is not installed Selecting previously unselected package libjs-jquery. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19445 files and directories currently installed.) Preparing to unpack .../libjs-jquery_3.6.1+dfsg+~3.5.14-1_all.deb ... Unpacking libjs-jquery (3.6.1+dfsg+~3.5.14-1) ... Selecting previously unselected package libjs-jquery-hotkeys. Preparing to unpack .../libjs-jquery-hotkeys_0~20130707+git2d51e3a9+dfsg-2.1_all.deb ... Unpacking libjs-jquery-hotkeys (0~20130707+git2d51e3a9+dfsg-2.1) ... Selecting previously unselected package libpython3.11-minimal:armhf. Preparing to unpack .../libpython3.11-minimal_3.11.9-1_armhf.deb ... Unpacking libpython3.11-minimal:armhf (3.11.9-1) ... Selecting previously unselected package libexpat1:armhf. Preparing to unpack .../libexpat1_2.6.2-1_armhf.deb ... Unpacking libexpat1:armhf (2.6.2-1) ... Selecting previously unselected package python3.11-minimal. Preparing to unpack .../python3.11-minimal_3.11.9-1_armhf.deb ... Unpacking python3.11-minimal (3.11.9-1) ... Setting up libpython3.11-minimal:armhf (3.11.9-1) ... Setting up libexpat1:armhf (2.6.2-1) ... Setting up python3.11-minimal (3.11.9-1) ... Selecting previously unselected package python3-minimal. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 19787 files and directories currently installed.) Preparing to unpack .../0-python3-minimal_3.11.8-1_armhf.deb ... Unpacking python3-minimal (3.11.8-1) ... Selecting previously unselected package media-types. Preparing to unpack .../1-media-types_10.1.0_all.deb ... Unpacking media-types (10.1.0) ... Selecting previously unselected package netbase. Preparing to unpack .../2-netbase_6.4_all.deb ... Unpacking netbase (6.4) ... Selecting previously unselected package tzdata. Preparing to unpack .../3-tzdata_2024a-4_all.deb ... Unpacking tzdata (2024a-4) ... Selecting previously unselected package readline-common. Preparing to unpack .../4-readline-common_8.2-4_all.deb ... Unpacking readline-common (8.2-4) ... Selecting previously unselected package libreadline8t64:armhf. Preparing to unpack .../5-libreadline8t64_8.2-4_armhf.deb ... Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8 to /lib/arm-linux-gnueabihf/libhistory.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libhistory.so.8.2 to /lib/arm-linux-gnueabihf/libhistory.so.8.2.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8 to /lib/arm-linux-gnueabihf/libreadline.so.8.usr-is-merged by libreadline8t64' Adding 'diversion of /lib/arm-linux-gnueabihf/libreadline.so.8.2 to /lib/arm-linux-gnueabihf/libreadline.so.8.2.usr-is-merged by libreadline8t64' Unpacking libreadline8t64:armhf (8.2-4) ... Selecting previously unselected package libpython3.11-stdlib:armhf. Preparing to unpack .../6-libpython3.11-stdlib_3.11.9-1_armhf.deb ... Unpacking libpython3.11-stdlib:armhf (3.11.9-1) ... Selecting previously unselected package python3.11. Preparing to unpack .../7-python3.11_3.11.9-1_armhf.deb ... Unpacking python3.11 (3.11.9-1) ... Selecting previously unselected package libpython3-stdlib:armhf. Preparing to unpack .../8-libpython3-stdlib_3.11.8-1_armhf.deb ... Unpacking libpython3-stdlib:armhf (3.11.8-1) ... Setting up python3-minimal (3.11.8-1) ... Selecting previously unselected package python3. (Reading database ... (Reading database ... 5% (Reading database ... 10% (Reading database ... 15% (Reading database ... 20% (Reading database ... 25% (Reading database ... 30% (Reading database ... 35% (Reading database ... 40% (Reading database ... 45% (Reading database ... 50% (Reading database ... 55% (Reading database ... 60% (Reading database ... 65% (Reading database ... 70% (Reading database ... 75% (Reading database ... 80% (Reading database ... 85% (Reading database ... 90% (Reading database ... 95% (Reading database ... 100% (Reading database ... 20779 files and directories currently installed.) Preparing to unpack .../000-python3_3.11.8-1_armhf.deb ... Unpacking python3 (3.11.8-1) ... Selecting previously unselected package libpython3.12-minimal:armhf. Preparing to unpack .../001-libpython3.12-minimal_3.12.3-1_armhf.deb ... Unpacking libpython3.12-minimal:armhf (3.12.3-1) ... Selecting previously unselected package python3.12-minimal. Preparing to unpack .../002-python3.12-minimal_3.12.3-1_armhf.deb ... Unpacking python3.12-minimal (3.12.3-1) ... Selecting previously unselected package sensible-utils. Preparing to unpack .../003-sensible-utils_0.0.22_all.deb ... Unpacking sensible-utils (0.0.22) ... Selecting previously unselected package openssl. Preparing to unpack .../004-openssl_3.2.1-3_armhf.deb ... Unpacking openssl (3.2.1-3) ... Selecting previously unselected package ca-certificates. Preparing to unpack .../005-ca-certificates_20240203_all.deb ... Unpacking ca-certificates (20240203) ... Selecting previously unselected package libmagic-mgc. Preparing to unpack .../006-libmagic-mgc_1%3a5.45-3_armhf.deb ... Unpacking libmagic-mgc (1:5.45-3) ... Selecting previously unselected package libmagic1t64:armhf. Preparing to unpack .../007-libmagic1t64_1%3a5.45-3_armhf.deb ... Unpacking libmagic1t64:armhf (1:5.45-3) ... Selecting previously unselected package file. Preparing to unpack .../008-file_1%3a5.45-3_armhf.deb ... Unpacking file (1:5.45-3) ... Selecting previously unselected package gettext-base. Preparing to unpack .../009-gettext-base_0.21-14+b1_armhf.deb ... Unpacking gettext-base (0.21-14+b1) ... Selecting previously unselected package libuchardet0:armhf. Preparing to unpack .../010-libuchardet0_0.0.8-1+b1_armhf.deb ... Unpacking libuchardet0:armhf (0.0.8-1+b1) ... Selecting previously unselected package groff-base. Preparing to unpack .../011-groff-base_1.23.0-4_armhf.deb ... Unpacking groff-base (1.23.0-4) ... Selecting previously unselected package bsdextrautils. Preparing to unpack .../012-bsdextrautils_2.40-8_armhf.deb ... Unpacking bsdextrautils (2.40-8) ... 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Unpacking python3-plotly (5.20.0+dfsg-1) ... Setting up libwcs8:armhf (8.2.2+ds-3+b2) ... Setting up media-types (10.1.0) ... Setting up libpipeline1:armhf (1.5.7-2) ... Setting up liberfa1:armhf (2.0.1-1+b1) ... Setting up libgraphite2-3:armhf (1.3.14-2) ... Setting up liblcms2-2:armhf (2.14-2+b1) ... Setting up libsharpyuv0:armhf (1.4.0-0.1) ... Setting up libxau6:armhf (1:1.0.9-1+b1) ... Setting up libicu72:armhf (72.1-4+b1) ... Setting up liblerc4:armhf (4.0.0+ds-4+b1) ... Setting up bsdextrautils (2.40-8) ... Setting up libmagic-mgc (1:5.45-3) ... Setting up libarchive-zip-perl (1.68-1) ... Setting up libyaml-0-2:armhf (0.2.5-1+b1) ... Setting up fonts-lyx (2.4.0~RC4-1) ... Setting up libdebhelper-perl (13.15.3) ... Setting up libbrotli1:armhf (1.1.0-2+b3) ... Setting up libmagic1t64:armhf (1:5.45-3) ... Setting up libpython3.12-minimal:armhf (3.12.3-1) ... 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Setting up liblapack3:armhf (3.12.0-3) ... update-alternatives: using /usr/lib/arm-linux-gnueabihf/lapack/liblapack.so.3 to provide /usr/lib/arm-linux-gnueabihf/liblapack.so.3 (liblapack.so.3-arm-linux-gnueabihf) in auto mode Setting up libxcb1:armhf (1.17.0-1) ... Setting up gettext (0.21-14+b1) ... Setting up libtool (2.4.7-7) ... Setting up fontconfig-config (2.15.0-1.1) ... Setting up libwebpdemux2:armhf (1.4.0-0.1) ... Setting up intltool-debian (0.35.0+20060710.6) ... Setting up dh-autoreconf (20) ... Setting up ca-certificates (20240203) ... Updating certificates in /etc/ssl/certs... 146 added, 0 removed; done. Setting up libjs-jquery-ui (1.13.2+dfsg-1) ... Setting up libfreetype6:armhf (2.13.2+dfsg-1+b4) ... Setting up libjs-jquery-metadata (12-4) ... Setting up libjs-jquery-isonscreen (1.2.0-1.1) ... Setting up libjs-sphinxdoc (7.2.6-6) ... Setting up libreadline8t64:armhf (8.2-4) ... Setting up dh-strip-nondeterminism (1.13.1-1) ... 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Building tag database... -> Finished parsing the build-deps Reading package lists... Building dependency tree... Reading state information... fakeroot is already the newest version (1.33-1). 0 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. I: Building the package I: Running cd /build/reproducible-path/einsteinpy-0.4.0/ && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-buildpackage -us -uc -b && env PATH="/usr/sbin:/usr/bin:/sbin:/bin:/usr/games" HOME="/nonexistent/first-build" dpkg-genchanges -S > ../einsteinpy_0.4.0-3_source.changes dpkg-buildpackage: info: source package einsteinpy dpkg-buildpackage: info: source version 0.4.0-3 dpkg-buildpackage: info: source distribution unstable dpkg-buildpackage: info: source changed by Ole Streicher dpkg-source --before-build . dpkg-buildpackage: info: host architecture armhf fakeroot debian/rules clean dh clean --with python3 --buildsystem=pybuild dh_auto_clean -O--buildsystem=pybuild I: pybuild base:311: python3.12 setup.py clean /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running clean removing '/build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build' (and everything under it) 'build/bdist.linux-armv7l' does not exist -- can't clean it 'build/scripts-3.12' does not exist -- can't clean it I: pybuild base:311: python3.11 setup.py clean /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running clean removing '/build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build' (and everything under it) 'build/bdist.linux-armv7l' does not exist -- can't clean it 'build/scripts-3.11' does not exist -- can't clean it dh_autoreconf_clean -O--buildsystem=pybuild dh_clean -O--buildsystem=pybuild debian/rules build dh build --with python3 --buildsystem=pybuild dh_update_autotools_config -O--buildsystem=pybuild dh_autoreconf -O--buildsystem=pybuild dh_auto_configure -O--buildsystem=pybuild I: pybuild base:311: python3.12 setup.py config /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running config I: pybuild base:311: python3.11 setup.py config /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running config dh_auto_build -O--buildsystem=pybuild I: pybuild base:311: /usr/bin/python3.12 setup.py build /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running build running build_py creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/ijit.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/units.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/examples.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/bodies.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy copying src/einsteinpy/constant.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/base_metric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/kerr.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/schwarzschild.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/kerrnewman.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/metric creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/differential.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/conversion.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/coordinates creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/rays copying src/einsteinpy/rays/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/rays copying src/einsteinpy/rays/shadow.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/rays creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/fantasy.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/runge_kutta.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/integrators creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/helpers.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/schouten.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/tensor.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/vector.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/weyl.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/ricci.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/christoffel.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/stress_energy_momentum.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/riemann.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/constants.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/metric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/einstein.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/hypersurface copying src/einsteinpy/hypersurface/schwarzschildembedding.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/hypersurface copying src/einsteinpy/hypersurface/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/hypersurface creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting copying src/einsteinpy/plotting/fractal.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting copying src/einsteinpy/plotting/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/geodesic.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/geodesic creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/dual.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/exceptions.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/scalar_factor.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/utils creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/godel.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/davidson.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/de_sitter.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/alcubierre_warp.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/vacuum_solutions.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/bertotti_kasner.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/find.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/cmetric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/ernst.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/minkowski.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/barriola_vilenkin.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/bessel_gravitational_wave.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/janis_newman_winicour.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/symbolic/predefined creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/rays copying src/einsteinpy/plotting/rays/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/rays copying src/einsteinpy/plotting/rays/shadow.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/rays creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/hypersurface copying src/einsteinpy/plotting/hypersurface/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/hypersurface copying src/einsteinpy/plotting/hypersurface/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/hypersurface creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/interactive.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/static.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/plotting/geodesic running egg_info creating src/einsteinpy.egg-info writing src/einsteinpy.egg-info/PKG-INFO writing dependency_links to src/einsteinpy.egg-info/dependency_links.txt writing requirements to src/einsteinpy.egg-info/requires.txt writing top-level names to src/einsteinpy.egg-info/top_level.txt writing manifest file 'src/einsteinpy.egg-info/SOURCES.txt' reading manifest file 'src/einsteinpy.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '*.py' under directory 'src/einsteinpy/tests' warning: no files found matching '*.html' under directory 'src/einsteinpy/tests' no previously-included directories found matching 'docs/source/examples/.ipynb_checkpoints' warning: no previously-included files matching '*.py[cod]' found anywhere in distribution warning: no previously-included files matching '__pycache__' found anywhere in distribution warning: no previously-included files matching '*.so' found anywhere in distribution warning: no previously-included files matching '*.dylib' found anywhere in distribution adding license file 'COPYING' adding license file 'AUTHORS' writing manifest file 'src/einsteinpy.egg-info/SOURCES.txt' I: pybuild base:311: /usr/bin/python3 setup.py build /usr/lib/python3/dist-packages/setuptools/_distutils/dist.py:265: UserWarning: Unknown distribution option: 'setup_cfg' warnings.warn(msg) WARNING setuptools_scm._integration.setuptools pyproject.toml does not contain a tool.setuptools_scm section running build running build_py creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/ijit.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/units.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/examples.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/bodies.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy copying src/einsteinpy/constant.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/base_metric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/kerr.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/schwarzschild.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric copying src/einsteinpy/metric/kerrnewman.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/metric creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/differential.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates copying src/einsteinpy/coordinates/conversion.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/coordinates creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/rays copying src/einsteinpy/rays/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/rays copying src/einsteinpy/rays/shadow.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/rays creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/fantasy.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/runge_kutta.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/integrators copying src/einsteinpy/integrators/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/integrators creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/helpers.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/schouten.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/tensor.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/vector.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/weyl.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/ricci.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/christoffel.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/stress_energy_momentum.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/riemann.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/constants.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/metric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic copying src/einsteinpy/symbolic/einstein.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/hypersurface copying src/einsteinpy/hypersurface/schwarzschildembedding.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/hypersurface copying src/einsteinpy/hypersurface/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/hypersurface creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting copying src/einsteinpy/plotting/fractal.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting copying src/einsteinpy/plotting/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/geodesic.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/geodesic copying src/einsteinpy/geodesic/utils.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/geodesic creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/dual.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/exceptions.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/scalar_factor.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/utils copying src/einsteinpy/utils/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/utils creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/godel.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/davidson.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/de_sitter.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/alcubierre_warp.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/vacuum_solutions.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/bertotti_kasner.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/find.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/cmetric.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/ernst.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/minkowski.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/barriola_vilenkin.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/bessel_gravitational_wave.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined copying src/einsteinpy/symbolic/predefined/janis_newman_winicour.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/symbolic/predefined creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/rays copying src/einsteinpy/plotting/rays/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/rays copying src/einsteinpy/plotting/rays/shadow.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/rays creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/hypersurface copying src/einsteinpy/plotting/hypersurface/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/hypersurface copying src/einsteinpy/plotting/hypersurface/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/hypersurface creating /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/core.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/interactive.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/__init__.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/geodesic copying src/einsteinpy/plotting/geodesic/static.py -> /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/plotting/geodesic running egg_info writing src/einsteinpy.egg-info/PKG-INFO writing dependency_links to src/einsteinpy.egg-info/dependency_links.txt writing requirements to src/einsteinpy.egg-info/requires.txt writing top-level names to src/einsteinpy.egg-info/top_level.txt reading manifest file 'src/einsteinpy.egg-info/SOURCES.txt' reading manifest template 'MANIFEST.in' warning: no files found matching '*.py' under directory 'src/einsteinpy/tests' warning: no files found matching '*.html' under directory 'src/einsteinpy/tests' no previously-included directories found matching 'docs/source/examples/.ipynb_checkpoints' warning: no previously-included files matching '*.py[cod]' found anywhere in distribution warning: no previously-included files matching '__pycache__' found anywhere in distribution warning: no previously-included files matching '*.so' found anywhere in distribution warning: no previously-included files matching '*.dylib' found anywhere in distribution adding license file 'COPYING' adding license file 'AUTHORS' writing manifest file 'src/einsteinpy.egg-info/SOURCES.txt' dh_auto_test -O--buildsystem=pybuild I: pybuild base:311: cd /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build; python3.12 -m pytest tests ============================= test session starts ============================== platform linux -- Python 3.12.3, pytest-8.1.2, pluggy-1.5.0 rootdir: /build/reproducible-path/einsteinpy-0.4.0 configfile: setup.cfg plugins: mock-3.12.0, doctestplus-1.2.1, cov-5.0.0, astropy-header-0.2.2, filter-subpackage-0.2.0, astropy-0.11.0, hypothesis-6.100.4, arraydiff-0.6.1, remotedata-0.4.1 collected 296 items tests/test_bodies.py ......................... [ 8%] tests/test_constant.py ... [ 9%] tests/test_coordinates/test_conversions.py .......... [ 12%] tests/test_coordinates/test_coord_transform.py ................ [ 18%] tests/test_coordinates/test_diff_transform.py ................. [ 23%] tests/test_coordinates/test_utils.py .... [ 25%] tests/test_examples.py . [ 25%] tests/test_geodesic/test_geodesic.py ......... [ 28%] tests/test_geodesic/test_geodesic_utils.py ...... [ 30%] tests/test_hypersurface/test_schwarzschildembedding.py .... [ 32%] tests/test_ijit/test_ijit_without_numba.py .. [ 32%] tests/test_integrators/test_geod_int.py ............ [ 36%] tests/test_integrators/test_runge_kutta.py . [ 37%] tests/test_metric/test_base_metric.py ............... [ 42%] tests/test_metric/test_kerr.py ... [ 43%] tests/test_metric/test_kerrnewman.py ........ [ 45%] tests/test_metric/test_schwarzschild.py . [ 46%] tests/test_plotting/test_fractal.py .. [ 46%] tests/test_plotting/test_geodesic/test_interactive.py ........ [ 49%] tests/test_plotting/test_geodesic/test_static.py ............ [ 53%] tests/test_plotting/test_hypersurface.py .. [ 54%] tests/test_plotting/test_rays/test_shadow.py EE [ 55%] tests/test_symbolic/test_christoffel.py ...... [ 57%] tests/test_symbolic/test_constants.py .. [ 57%] tests/test_symbolic/test_einstein.py ..... [ 59%] tests/test_symbolic/test_helpers.py .x....... [ 62%] tests/test_symbolic/test_metric.py ....... [ 64%] tests/test_symbolic/test_predefined/test_all.py ........................ [ 72%] . [ 73%] tests/test_symbolic/test_predefined/test_find.py .. [ 73%] tests/test_symbolic/test_ricci.py ....... [ 76%] tests/test_symbolic/test_riemann.py .... [ 77%] tests/test_symbolic/test_schouten.py .... [ 79%] tests/test_symbolic/test_stress_energy_momentum.py ... [ 80%] tests/test_symbolic/test_tensor.py .........xxxxxx...x..... [ 88%] tests/test_symbolic/test_vector.py .x.. [ 89%] tests/test_symbolic/test_weyl.py ...... [ 91%] tests/test_units.py . [ 91%] tests/test_utils/test_dual.py ................... [ 98%] tests/test_utils/test_exceptions.py . [ 98%] tests/test_utils/test_scalar_factor.py .... [100%] ==================================== ERRORS ==================================== ____________ ERROR at setup of test_plotter_has_correct_attributes _____________ @pytest.fixture() def dummy_data(): mass = 1 * u.kg fov = 30 * u.km > shadow = Shadow(mass=mass, fov=fov, n_rays=1000) tests/test_plotting/test_rays/test_shadow.py:15: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/astropy/units/decorators.py:313: in wrapper return_ = wrapped_function(*func_args, **func_kwargs) einsteinpy/rays/shadow.py:29: in __init__ root = newton(self._root_equation, 0.1, args=(i,)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ func = > x0 = 0.1, fprime = None, args = (5.196152422706632,), tol = 1.48e-08 maxiter = 50, fprime2 = None, x1 = None, rtol = 0.0, full_output = False disp = True def newton(func, x0, fprime=None, args=(), tol=1.48e-8, maxiter=50, fprime2=None, x1=None, rtol=0.0, full_output=False, disp=True): """ Find a root of a real or complex function using the Newton-Raphson (or secant or Halley's) method. Find a root of the scalar-valued function `func` given a nearby scalar starting point `x0`. The Newton-Raphson method is used if the derivative `fprime` of `func` is provided, otherwise the secant method is used. If the second order derivative `fprime2` of `func` is also provided, then Halley's method is used. If `x0` is a sequence with more than one item, `newton` returns an array: the roots of the function from each (scalar) starting point in `x0`. In this case, `func` must be vectorized to return a sequence or array of the same shape as its first argument. If `fprime` (`fprime2`) is given, then its return must also have the same shape: each element is the first (second) derivative of `func` with respect to its only variable evaluated at each element of its first argument. `newton` is for finding roots of a scalar-valued functions of a single variable. For problems involving several variables, see `root`. Parameters ---------- func : callable The function whose root is wanted. It must be a function of a single variable of the form ``f(x,a,b,c...)``, where ``a,b,c...`` are extra arguments that can be passed in the `args` parameter. x0 : float, sequence, or ndarray An initial estimate of the root that should be somewhere near the actual root. If not scalar, then `func` must be vectorized and return a sequence or array of the same shape as its first argument. fprime : callable, optional The derivative of the function when available and convenient. If it is None (default), then the secant method is used. args : tuple, optional Extra arguments to be used in the function call. tol : float, optional The allowable error of the root's value. If `func` is complex-valued, a larger `tol` is recommended as both the real and imaginary parts of `x` contribute to ``|x - x0|``. maxiter : int, optional Maximum number of iterations. fprime2 : callable, optional The second order derivative of the function when available and convenient. If it is None (default), then the normal Newton-Raphson or the secant method is used. If it is not None, then Halley's method is used. x1 : float, optional Another estimate of the root that should be somewhere near the actual root. Used if `fprime` is not provided. rtol : float, optional Tolerance (relative) for termination. full_output : bool, optional If `full_output` is False (default), the root is returned. If True and `x0` is scalar, the return value is ``(x, r)``, where ``x`` is the root and ``r`` is a `RootResults` object. If True and `x0` is non-scalar, the return value is ``(x, converged, zero_der)`` (see Returns section for details). disp : bool, optional If True, raise a RuntimeError if the algorithm didn't converge, with the error message containing the number of iterations and current function value. Otherwise, the convergence status is recorded in a `RootResults` return object. Ignored if `x0` is not scalar. *Note: this has little to do with displaying, however, the `disp` keyword cannot be renamed for backwards compatibility.* Returns ------- root : float, sequence, or ndarray Estimated location where function is zero. r : `RootResults`, optional Present if ``full_output=True`` and `x0` is scalar. Object containing information about the convergence. In particular, ``r.converged`` is True if the routine converged. converged : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements converged successfully. zero_der : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements had a zero derivative. See Also -------- root_scalar : interface to root solvers for scalar functions root : interface to root solvers for multi-input, multi-output functions Notes ----- The convergence rate of the Newton-Raphson method is quadratic, the Halley method is cubic, and the secant method is sub-quadratic. This means that if the function is well-behaved the actual error in the estimated root after the nth iteration is approximately the square (cube for Halley) of the error after the (n-1)th step. However, the stopping criterion used here is the step size and there is no guarantee that a root has been found. Consequently, the result should be verified. Safer algorithms are brentq, brenth, ridder, and bisect, but they all require that the root first be bracketed in an interval where the function changes sign. The brentq algorithm is recommended for general use in one dimensional problems when such an interval has been found. When `newton` is used with arrays, it is best suited for the following types of problems: * The initial guesses, `x0`, are all relatively the same distance from the roots. * Some or all of the extra arguments, `args`, are also arrays so that a class of similar problems can be solved together. * The size of the initial guesses, `x0`, is larger than O(100) elements. Otherwise, a naive loop may perform as well or better than a vector. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy import optimize >>> def f(x): ... return (x**3 - 1) # only one real root at x = 1 ``fprime`` is not provided, use the secant method: >>> root = optimize.newton(f, 1.5) >>> root 1.0000000000000016 >>> root = optimize.newton(f, 1.5, fprime2=lambda x: 6 * x) >>> root 1.0000000000000016 Only ``fprime`` is provided, use the Newton-Raphson method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2) >>> root 1.0 Both ``fprime2`` and ``fprime`` are provided, use Halley's method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2, ... fprime2=lambda x: 6 * x) >>> root 1.0 When we want to find roots for a set of related starting values and/or function parameters, we can provide both of those as an array of inputs: >>> f = lambda x, a: x**3 - a >>> fder = lambda x, a: 3 * x**2 >>> rng = np.random.default_rng() >>> x = rng.standard_normal(100) >>> a = np.arange(-50, 50) >>> vec_res = optimize.newton(f, x, fprime=fder, args=(a, ), maxiter=200) The above is the equivalent of solving for each value in ``(x, a)`` separately in a for-loop, just faster: >>> loop_res = [optimize.newton(f, x0, fprime=fder, args=(a0,), ... maxiter=200) ... for x0, a0 in zip(x, a)] >>> np.allclose(vec_res, loop_res) True Plot the results found for all values of ``a``: >>> analytical_result = np.sign(a) * np.abs(a)**(1/3) >>> fig, ax = plt.subplots() >>> ax.plot(a, analytical_result, 'o') >>> ax.plot(a, vec_res, '.') >>> ax.set_xlabel('$a$') >>> ax.set_ylabel('$x$ where $f(x, a)=0$') >>> plt.show() """ if tol <= 0: raise ValueError("tol too small (%g <= 0)" % tol) maxiter = operator.index(maxiter) if maxiter < 1: raise ValueError("maxiter must be greater than 0") if np.size(x0) > 1: return _array_newton(func, x0, fprime, args, tol, maxiter, fprime2, full_output) # Convert to float (don't use float(x0); this works also for complex x0) # Use np.asarray because we want x0 to be a numpy object, not a Python # object. e.g. np.complex(1+1j) > 0 is possible, but (1 + 1j) > 0 raises # a TypeError x0 = np.asarray(x0)[()] * 1.0 p0 = x0 funcalls = 0 if fprime is not None: # Newton-Raphson method for itr in range(maxiter): # first evaluate fval fval = func(p0, *args) funcalls += 1 # If fval is 0, a root has been found, then terminate if fval == 0: return _results_select( full_output, (p0, funcalls, itr, _ECONVERGED)) fder = fprime(p0, *args) funcalls += 1 if fder == 0: msg = "Derivative was zero." if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p0)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) return _results_select( full_output, (p0, funcalls, itr + 1, _ECONVERR)) newton_step = fval / fder if fprime2: fder2 = fprime2(p0, *args) funcalls += 1 # Halley's method: # newton_step /= (1.0 - 0.5 * newton_step * fder2 / fder) # Only do it if denominator stays close enough to 1 # Rationale: If 1-adj < 0, then Halley sends x in the # opposite direction to Newton. Doesn't happen if x is close # enough to root. adj = newton_step * fder2 / fder / 2 if np.abs(adj) < 1: newton_step /= 1.0 - adj p = p0 - newton_step if np.isclose(p, p0, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0 = p else: # Secant method if x1 is not None: if x1 == x0: raise ValueError("x1 and x0 must be different") p1 = x1 else: eps = 1e-4 p1 = x0 * (1 + eps) p1 += (eps if p1 >= 0 else -eps) q0 = func(p0, *args) funcalls += 1 q1 = func(p1, *args) funcalls += 1 if abs(q1) < abs(q0): p0, p1, q0, q1 = p1, p0, q1, q0 for itr in range(maxiter): if q1 == q0: if p1 != p0: msg = "Tolerance of %s reached." % (p1 - p0) if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p1)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) p = (p1 + p0) / 2.0 return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERR)) else: if abs(q1) > abs(q0): p = (-q0 / q1 * p1 + p0) / (1 - q0 / q1) else: p = (-q1 / q0 * p0 + p1) / (1 - q1 / q0) if np.isclose(p, p1, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0, q0 = p1, q1 p1 = p q1 = func(p1, *args) funcalls += 1 if disp: msg = ("Failed to converge after %d iterations, value is %s." % (itr + 1, p)) > raise RuntimeError(msg) E RuntimeError: Failed to converge after 50 iterations, value is nan. /usr/lib/python3/dist-packages/scipy/optimize/_zeros_py.py:384: RuntimeError __________________ ERROR at setup of test_plot_calls_plt_plot __________________ @pytest.fixture() def dummy_data(): mass = 1 * u.kg fov = 30 * u.km > shadow = Shadow(mass=mass, fov=fov, n_rays=1000) tests/test_plotting/test_rays/test_shadow.py:15: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/astropy/units/decorators.py:313: in wrapper return_ = wrapped_function(*func_args, **func_kwargs) einsteinpy/rays/shadow.py:29: in __init__ root = newton(self._root_equation, 0.1, args=(i,)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ func = > x0 = 0.1, fprime = None, args = (5.196152422706632,), tol = 1.48e-08 maxiter = 50, fprime2 = None, x1 = None, rtol = 0.0, full_output = False disp = True def newton(func, x0, fprime=None, args=(), tol=1.48e-8, maxiter=50, fprime2=None, x1=None, rtol=0.0, full_output=False, disp=True): """ Find a root of a real or complex function using the Newton-Raphson (or secant or Halley's) method. Find a root of the scalar-valued function `func` given a nearby scalar starting point `x0`. The Newton-Raphson method is used if the derivative `fprime` of `func` is provided, otherwise the secant method is used. If the second order derivative `fprime2` of `func` is also provided, then Halley's method is used. If `x0` is a sequence with more than one item, `newton` returns an array: the roots of the function from each (scalar) starting point in `x0`. In this case, `func` must be vectorized to return a sequence or array of the same shape as its first argument. If `fprime` (`fprime2`) is given, then its return must also have the same shape: each element is the first (second) derivative of `func` with respect to its only variable evaluated at each element of its first argument. `newton` is for finding roots of a scalar-valued functions of a single variable. For problems involving several variables, see `root`. Parameters ---------- func : callable The function whose root is wanted. It must be a function of a single variable of the form ``f(x,a,b,c...)``, where ``a,b,c...`` are extra arguments that can be passed in the `args` parameter. x0 : float, sequence, or ndarray An initial estimate of the root that should be somewhere near the actual root. If not scalar, then `func` must be vectorized and return a sequence or array of the same shape as its first argument. fprime : callable, optional The derivative of the function when available and convenient. If it is None (default), then the secant method is used. args : tuple, optional Extra arguments to be used in the function call. tol : float, optional The allowable error of the root's value. If `func` is complex-valued, a larger `tol` is recommended as both the real and imaginary parts of `x` contribute to ``|x - x0|``. maxiter : int, optional Maximum number of iterations. fprime2 : callable, optional The second order derivative of the function when available and convenient. If it is None (default), then the normal Newton-Raphson or the secant method is used. If it is not None, then Halley's method is used. x1 : float, optional Another estimate of the root that should be somewhere near the actual root. Used if `fprime` is not provided. rtol : float, optional Tolerance (relative) for termination. full_output : bool, optional If `full_output` is False (default), the root is returned. If True and `x0` is scalar, the return value is ``(x, r)``, where ``x`` is the root and ``r`` is a `RootResults` object. If True and `x0` is non-scalar, the return value is ``(x, converged, zero_der)`` (see Returns section for details). disp : bool, optional If True, raise a RuntimeError if the algorithm didn't converge, with the error message containing the number of iterations and current function value. Otherwise, the convergence status is recorded in a `RootResults` return object. Ignored if `x0` is not scalar. *Note: this has little to do with displaying, however, the `disp` keyword cannot be renamed for backwards compatibility.* Returns ------- root : float, sequence, or ndarray Estimated location where function is zero. r : `RootResults`, optional Present if ``full_output=True`` and `x0` is scalar. Object containing information about the convergence. In particular, ``r.converged`` is True if the routine converged. converged : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements converged successfully. zero_der : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements had a zero derivative. See Also -------- root_scalar : interface to root solvers for scalar functions root : interface to root solvers for multi-input, multi-output functions Notes ----- The convergence rate of the Newton-Raphson method is quadratic, the Halley method is cubic, and the secant method is sub-quadratic. This means that if the function is well-behaved the actual error in the estimated root after the nth iteration is approximately the square (cube for Halley) of the error after the (n-1)th step. However, the stopping criterion used here is the step size and there is no guarantee that a root has been found. Consequently, the result should be verified. Safer algorithms are brentq, brenth, ridder, and bisect, but they all require that the root first be bracketed in an interval where the function changes sign. The brentq algorithm is recommended for general use in one dimensional problems when such an interval has been found. When `newton` is used with arrays, it is best suited for the following types of problems: * The initial guesses, `x0`, are all relatively the same distance from the roots. * Some or all of the extra arguments, `args`, are also arrays so that a class of similar problems can be solved together. * The size of the initial guesses, `x0`, is larger than O(100) elements. Otherwise, a naive loop may perform as well or better than a vector. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy import optimize >>> def f(x): ... return (x**3 - 1) # only one real root at x = 1 ``fprime`` is not provided, use the secant method: >>> root = optimize.newton(f, 1.5) >>> root 1.0000000000000016 >>> root = optimize.newton(f, 1.5, fprime2=lambda x: 6 * x) >>> root 1.0000000000000016 Only ``fprime`` is provided, use the Newton-Raphson method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2) >>> root 1.0 Both ``fprime2`` and ``fprime`` are provided, use Halley's method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2, ... fprime2=lambda x: 6 * x) >>> root 1.0 When we want to find roots for a set of related starting values and/or function parameters, we can provide both of those as an array of inputs: >>> f = lambda x, a: x**3 - a >>> fder = lambda x, a: 3 * x**2 >>> rng = np.random.default_rng() >>> x = rng.standard_normal(100) >>> a = np.arange(-50, 50) >>> vec_res = optimize.newton(f, x, fprime=fder, args=(a, ), maxiter=200) The above is the equivalent of solving for each value in ``(x, a)`` separately in a for-loop, just faster: >>> loop_res = [optimize.newton(f, x0, fprime=fder, args=(a0,), ... maxiter=200) ... for x0, a0 in zip(x, a)] >>> np.allclose(vec_res, loop_res) True Plot the results found for all values of ``a``: >>> analytical_result = np.sign(a) * np.abs(a)**(1/3) >>> fig, ax = plt.subplots() >>> ax.plot(a, analytical_result, 'o') >>> ax.plot(a, vec_res, '.') >>> ax.set_xlabel('$a$') >>> ax.set_ylabel('$x$ where $f(x, a)=0$') >>> plt.show() """ if tol <= 0: raise ValueError("tol too small (%g <= 0)" % tol) maxiter = operator.index(maxiter) if maxiter < 1: raise ValueError("maxiter must be greater than 0") if np.size(x0) > 1: return _array_newton(func, x0, fprime, args, tol, maxiter, fprime2, full_output) # Convert to float (don't use float(x0); this works also for complex x0) # Use np.asarray because we want x0 to be a numpy object, not a Python # object. e.g. np.complex(1+1j) > 0 is possible, but (1 + 1j) > 0 raises # a TypeError x0 = np.asarray(x0)[()] * 1.0 p0 = x0 funcalls = 0 if fprime is not None: # Newton-Raphson method for itr in range(maxiter): # first evaluate fval fval = func(p0, *args) funcalls += 1 # If fval is 0, a root has been found, then terminate if fval == 0: return _results_select( full_output, (p0, funcalls, itr, _ECONVERGED)) fder = fprime(p0, *args) funcalls += 1 if fder == 0: msg = "Derivative was zero." if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p0)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) return _results_select( full_output, (p0, funcalls, itr + 1, _ECONVERR)) newton_step = fval / fder if fprime2: fder2 = fprime2(p0, *args) funcalls += 1 # Halley's method: # newton_step /= (1.0 - 0.5 * newton_step * fder2 / fder) # Only do it if denominator stays close enough to 1 # Rationale: If 1-adj < 0, then Halley sends x in the # opposite direction to Newton. Doesn't happen if x is close # enough to root. adj = newton_step * fder2 / fder / 2 if np.abs(adj) < 1: newton_step /= 1.0 - adj p = p0 - newton_step if np.isclose(p, p0, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0 = p else: # Secant method if x1 is not None: if x1 == x0: raise ValueError("x1 and x0 must be different") p1 = x1 else: eps = 1e-4 p1 = x0 * (1 + eps) p1 += (eps if p1 >= 0 else -eps) q0 = func(p0, *args) funcalls += 1 q1 = func(p1, *args) funcalls += 1 if abs(q1) < abs(q0): p0, p1, q0, q1 = p1, p0, q1, q0 for itr in range(maxiter): if q1 == q0: if p1 != p0: msg = "Tolerance of %s reached." % (p1 - p0) if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p1)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) p = (p1 + p0) / 2.0 return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERR)) else: if abs(q1) > abs(q0): p = (-q0 / q1 * p1 + p0) / (1 - q0 / q1) else: p = (-q1 / q0 * p0 + p1) / (1 - q1 / q0) if np.isclose(p, p1, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0, q0 = p1, q1 p1 = p q1 = func(p1, *args) funcalls += 1 if disp: msg = ("Failed to converge after %d iterations, value is %s." % (itr + 1, p)) > raise RuntimeError(msg) E RuntimeError: Failed to converge after 50 iterations, value is nan. /usr/lib/python3/dist-packages/scipy/optimize/_zeros_py.py:384: RuntimeError =============================== warnings summary =============================== einsteinpy/ijit.py:30 .pybuild/cpython3_3.12_einsteinpy/build/tests/test_ijit/test_ijit_without_numba.py::test_decorator /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build/einsteinpy/ijit.py:30: UserWarning: Could not import numba package. All einsteinpy functions will work properly but the CPU intensive algorithms will be slow. Consider installing numba to boost performance. .pybuild/cpython3_3.12_einsteinpy/build/tests/test_symbolic/test_christoffel.py::test_properties /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.12_einsteinpy/build/tests/test_symbolic/test_christoffel.py::test_properties returned True, which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? .pybuild/cpython3_3.12_einsteinpy/build/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.12_einsteinpy/build/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config returned True, which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ ERROR tests/test_plotting/test_rays/test_shadow.py::test_plotter_has_correct_attributes ERROR tests/test_plotting/test_rays/test_shadow.py::test_plot_calls_plt_plot ======= 285 passed, 9 xfailed, 4 warnings, 2 errors in 770.78s (0:12:50) ======= E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.12_einsteinpy/build; python3.12 -m pytest tests I: pybuild base:311: cd /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build; python3.11 -m pytest tests ============================= test session starts ============================== platform linux -- Python 3.11.9, pytest-8.1.2, pluggy-1.5.0 rootdir: /build/reproducible-path/einsteinpy-0.4.0 configfile: setup.cfg plugins: mock-3.12.0, doctestplus-1.2.1, cov-5.0.0, astropy-header-0.2.2, filter-subpackage-0.2.0, astropy-0.11.0, hypothesis-6.100.4, arraydiff-0.6.1, remotedata-0.4.1 collected 296 items tests/test_bodies.py ......................... [ 8%] tests/test_constant.py ... [ 9%] tests/test_coordinates/test_conversions.py .......... [ 12%] tests/test_coordinates/test_coord_transform.py ................ [ 18%] tests/test_coordinates/test_diff_transform.py ................. [ 23%] tests/test_coordinates/test_utils.py .... [ 25%] tests/test_examples.py . [ 25%] tests/test_geodesic/test_geodesic.py ......... [ 28%] tests/test_geodesic/test_geodesic_utils.py ...... [ 30%] tests/test_hypersurface/test_schwarzschildembedding.py .... [ 32%] tests/test_ijit/test_ijit_without_numba.py .. [ 32%] tests/test_integrators/test_geod_int.py ............ [ 36%] tests/test_integrators/test_runge_kutta.py . [ 37%] tests/test_metric/test_base_metric.py ............... [ 42%] tests/test_metric/test_kerr.py ... [ 43%] tests/test_metric/test_kerrnewman.py ........ [ 45%] tests/test_metric/test_schwarzschild.py . [ 46%] tests/test_plotting/test_fractal.py .. [ 46%] tests/test_plotting/test_geodesic/test_interactive.py ........ [ 49%] tests/test_plotting/test_geodesic/test_static.py ............ [ 53%] tests/test_plotting/test_hypersurface.py .. [ 54%] tests/test_plotting/test_rays/test_shadow.py EE [ 55%] tests/test_symbolic/test_christoffel.py ...... [ 57%] tests/test_symbolic/test_constants.py .. [ 57%] tests/test_symbolic/test_einstein.py ..... [ 59%] tests/test_symbolic/test_helpers.py .x....... [ 62%] tests/test_symbolic/test_metric.py ....... [ 64%] tests/test_symbolic/test_predefined/test_all.py ........................ [ 72%] . [ 73%] tests/test_symbolic/test_predefined/test_find.py .. [ 73%] tests/test_symbolic/test_ricci.py ....... [ 76%] tests/test_symbolic/test_riemann.py .... [ 77%] tests/test_symbolic/test_schouten.py .... [ 79%] tests/test_symbolic/test_stress_energy_momentum.py ... [ 80%] tests/test_symbolic/test_tensor.py .........xxxxxx...x..... [ 88%] tests/test_symbolic/test_vector.py .x.. [ 89%] tests/test_symbolic/test_weyl.py ...... [ 91%] tests/test_units.py . [ 91%] tests/test_utils/test_dual.py ................... [ 98%] tests/test_utils/test_exceptions.py . [ 98%] tests/test_utils/test_scalar_factor.py .... [100%] ==================================== ERRORS ==================================== ____________ ERROR at setup of test_plotter_has_correct_attributes _____________ @pytest.fixture() def dummy_data(): mass = 1 * u.kg fov = 30 * u.km > shadow = Shadow(mass=mass, fov=fov, n_rays=1000) tests/test_plotting/test_rays/test_shadow.py:15: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/astropy/units/decorators.py:313: in wrapper return_ = wrapped_function(*func_args, **func_kwargs) einsteinpy/rays/shadow.py:29: in __init__ root = newton(self._root_equation, 0.1, args=(i,)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ func = > x0 = 0.1, fprime = None, args = (5.196152422706632,), tol = 1.48e-08 maxiter = 50, fprime2 = None, x1 = None, rtol = 0.0, full_output = False disp = True def newton(func, x0, fprime=None, args=(), tol=1.48e-8, maxiter=50, fprime2=None, x1=None, rtol=0.0, full_output=False, disp=True): """ Find a root of a real or complex function using the Newton-Raphson (or secant or Halley's) method. Find a root of the scalar-valued function `func` given a nearby scalar starting point `x0`. The Newton-Raphson method is used if the derivative `fprime` of `func` is provided, otherwise the secant method is used. If the second order derivative `fprime2` of `func` is also provided, then Halley's method is used. If `x0` is a sequence with more than one item, `newton` returns an array: the roots of the function from each (scalar) starting point in `x0`. In this case, `func` must be vectorized to return a sequence or array of the same shape as its first argument. If `fprime` (`fprime2`) is given, then its return must also have the same shape: each element is the first (second) derivative of `func` with respect to its only variable evaluated at each element of its first argument. `newton` is for finding roots of a scalar-valued functions of a single variable. For problems involving several variables, see `root`. Parameters ---------- func : callable The function whose root is wanted. It must be a function of a single variable of the form ``f(x,a,b,c...)``, where ``a,b,c...`` are extra arguments that can be passed in the `args` parameter. x0 : float, sequence, or ndarray An initial estimate of the root that should be somewhere near the actual root. If not scalar, then `func` must be vectorized and return a sequence or array of the same shape as its first argument. fprime : callable, optional The derivative of the function when available and convenient. If it is None (default), then the secant method is used. args : tuple, optional Extra arguments to be used in the function call. tol : float, optional The allowable error of the root's value. If `func` is complex-valued, a larger `tol` is recommended as both the real and imaginary parts of `x` contribute to ``|x - x0|``. maxiter : int, optional Maximum number of iterations. fprime2 : callable, optional The second order derivative of the function when available and convenient. If it is None (default), then the normal Newton-Raphson or the secant method is used. If it is not None, then Halley's method is used. x1 : float, optional Another estimate of the root that should be somewhere near the actual root. Used if `fprime` is not provided. rtol : float, optional Tolerance (relative) for termination. full_output : bool, optional If `full_output` is False (default), the root is returned. If True and `x0` is scalar, the return value is ``(x, r)``, where ``x`` is the root and ``r`` is a `RootResults` object. If True and `x0` is non-scalar, the return value is ``(x, converged, zero_der)`` (see Returns section for details). disp : bool, optional If True, raise a RuntimeError if the algorithm didn't converge, with the error message containing the number of iterations and current function value. Otherwise, the convergence status is recorded in a `RootResults` return object. Ignored if `x0` is not scalar. *Note: this has little to do with displaying, however, the `disp` keyword cannot be renamed for backwards compatibility.* Returns ------- root : float, sequence, or ndarray Estimated location where function is zero. r : `RootResults`, optional Present if ``full_output=True`` and `x0` is scalar. Object containing information about the convergence. In particular, ``r.converged`` is True if the routine converged. converged : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements converged successfully. zero_der : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements had a zero derivative. See Also -------- root_scalar : interface to root solvers for scalar functions root : interface to root solvers for multi-input, multi-output functions Notes ----- The convergence rate of the Newton-Raphson method is quadratic, the Halley method is cubic, and the secant method is sub-quadratic. This means that if the function is well-behaved the actual error in the estimated root after the nth iteration is approximately the square (cube for Halley) of the error after the (n-1)th step. However, the stopping criterion used here is the step size and there is no guarantee that a root has been found. Consequently, the result should be verified. Safer algorithms are brentq, brenth, ridder, and bisect, but they all require that the root first be bracketed in an interval where the function changes sign. The brentq algorithm is recommended for general use in one dimensional problems when such an interval has been found. When `newton` is used with arrays, it is best suited for the following types of problems: * The initial guesses, `x0`, are all relatively the same distance from the roots. * Some or all of the extra arguments, `args`, are also arrays so that a class of similar problems can be solved together. * The size of the initial guesses, `x0`, is larger than O(100) elements. Otherwise, a naive loop may perform as well or better than a vector. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy import optimize >>> def f(x): ... return (x**3 - 1) # only one real root at x = 1 ``fprime`` is not provided, use the secant method: >>> root = optimize.newton(f, 1.5) >>> root 1.0000000000000016 >>> root = optimize.newton(f, 1.5, fprime2=lambda x: 6 * x) >>> root 1.0000000000000016 Only ``fprime`` is provided, use the Newton-Raphson method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2) >>> root 1.0 Both ``fprime2`` and ``fprime`` are provided, use Halley's method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2, ... fprime2=lambda x: 6 * x) >>> root 1.0 When we want to find roots for a set of related starting values and/or function parameters, we can provide both of those as an array of inputs: >>> f = lambda x, a: x**3 - a >>> fder = lambda x, a: 3 * x**2 >>> rng = np.random.default_rng() >>> x = rng.standard_normal(100) >>> a = np.arange(-50, 50) >>> vec_res = optimize.newton(f, x, fprime=fder, args=(a, ), maxiter=200) The above is the equivalent of solving for each value in ``(x, a)`` separately in a for-loop, just faster: >>> loop_res = [optimize.newton(f, x0, fprime=fder, args=(a0,), ... maxiter=200) ... for x0, a0 in zip(x, a)] >>> np.allclose(vec_res, loop_res) True Plot the results found for all values of ``a``: >>> analytical_result = np.sign(a) * np.abs(a)**(1/3) >>> fig, ax = plt.subplots() >>> ax.plot(a, analytical_result, 'o') >>> ax.plot(a, vec_res, '.') >>> ax.set_xlabel('$a$') >>> ax.set_ylabel('$x$ where $f(x, a)=0$') >>> plt.show() """ if tol <= 0: raise ValueError("tol too small (%g <= 0)" % tol) maxiter = operator.index(maxiter) if maxiter < 1: raise ValueError("maxiter must be greater than 0") if np.size(x0) > 1: return _array_newton(func, x0, fprime, args, tol, maxiter, fprime2, full_output) # Convert to float (don't use float(x0); this works also for complex x0) # Use np.asarray because we want x0 to be a numpy object, not a Python # object. e.g. np.complex(1+1j) > 0 is possible, but (1 + 1j) > 0 raises # a TypeError x0 = np.asarray(x0)[()] * 1.0 p0 = x0 funcalls = 0 if fprime is not None: # Newton-Raphson method for itr in range(maxiter): # first evaluate fval fval = func(p0, *args) funcalls += 1 # If fval is 0, a root has been found, then terminate if fval == 0: return _results_select( full_output, (p0, funcalls, itr, _ECONVERGED)) fder = fprime(p0, *args) funcalls += 1 if fder == 0: msg = "Derivative was zero." if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p0)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) return _results_select( full_output, (p0, funcalls, itr + 1, _ECONVERR)) newton_step = fval / fder if fprime2: fder2 = fprime2(p0, *args) funcalls += 1 # Halley's method: # newton_step /= (1.0 - 0.5 * newton_step * fder2 / fder) # Only do it if denominator stays close enough to 1 # Rationale: If 1-adj < 0, then Halley sends x in the # opposite direction to Newton. Doesn't happen if x is close # enough to root. adj = newton_step * fder2 / fder / 2 if np.abs(adj) < 1: newton_step /= 1.0 - adj p = p0 - newton_step if np.isclose(p, p0, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0 = p else: # Secant method if x1 is not None: if x1 == x0: raise ValueError("x1 and x0 must be different") p1 = x1 else: eps = 1e-4 p1 = x0 * (1 + eps) p1 += (eps if p1 >= 0 else -eps) q0 = func(p0, *args) funcalls += 1 q1 = func(p1, *args) funcalls += 1 if abs(q1) < abs(q0): p0, p1, q0, q1 = p1, p0, q1, q0 for itr in range(maxiter): if q1 == q0: if p1 != p0: msg = "Tolerance of %s reached." % (p1 - p0) if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p1)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) p = (p1 + p0) / 2.0 return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERR)) else: if abs(q1) > abs(q0): p = (-q0 / q1 * p1 + p0) / (1 - q0 / q1) else: p = (-q1 / q0 * p0 + p1) / (1 - q1 / q0) if np.isclose(p, p1, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0, q0 = p1, q1 p1 = p q1 = func(p1, *args) funcalls += 1 if disp: msg = ("Failed to converge after %d iterations, value is %s." % (itr + 1, p)) > raise RuntimeError(msg) E RuntimeError: Failed to converge after 50 iterations, value is nan. /usr/lib/python3/dist-packages/scipy/optimize/_zeros_py.py:384: RuntimeError __________________ ERROR at setup of test_plot_calls_plt_plot __________________ @pytest.fixture() def dummy_data(): mass = 1 * u.kg fov = 30 * u.km > shadow = Shadow(mass=mass, fov=fov, n_rays=1000) tests/test_plotting/test_rays/test_shadow.py:15: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ /usr/lib/python3/dist-packages/astropy/units/decorators.py:313: in wrapper return_ = wrapped_function(*func_args, **func_kwargs) einsteinpy/rays/shadow.py:29: in __init__ root = newton(self._root_equation, 0.1, args=(i,)) _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ func = > x0 = 0.1, fprime = None, args = (5.196152422706632,), tol = 1.48e-08 maxiter = 50, fprime2 = None, x1 = None, rtol = 0.0, full_output = False disp = True def newton(func, x0, fprime=None, args=(), tol=1.48e-8, maxiter=50, fprime2=None, x1=None, rtol=0.0, full_output=False, disp=True): """ Find a root of a real or complex function using the Newton-Raphson (or secant or Halley's) method. Find a root of the scalar-valued function `func` given a nearby scalar starting point `x0`. The Newton-Raphson method is used if the derivative `fprime` of `func` is provided, otherwise the secant method is used. If the second order derivative `fprime2` of `func` is also provided, then Halley's method is used. If `x0` is a sequence with more than one item, `newton` returns an array: the roots of the function from each (scalar) starting point in `x0`. In this case, `func` must be vectorized to return a sequence or array of the same shape as its first argument. If `fprime` (`fprime2`) is given, then its return must also have the same shape: each element is the first (second) derivative of `func` with respect to its only variable evaluated at each element of its first argument. `newton` is for finding roots of a scalar-valued functions of a single variable. For problems involving several variables, see `root`. Parameters ---------- func : callable The function whose root is wanted. It must be a function of a single variable of the form ``f(x,a,b,c...)``, where ``a,b,c...`` are extra arguments that can be passed in the `args` parameter. x0 : float, sequence, or ndarray An initial estimate of the root that should be somewhere near the actual root. If not scalar, then `func` must be vectorized and return a sequence or array of the same shape as its first argument. fprime : callable, optional The derivative of the function when available and convenient. If it is None (default), then the secant method is used. args : tuple, optional Extra arguments to be used in the function call. tol : float, optional The allowable error of the root's value. If `func` is complex-valued, a larger `tol` is recommended as both the real and imaginary parts of `x` contribute to ``|x - x0|``. maxiter : int, optional Maximum number of iterations. fprime2 : callable, optional The second order derivative of the function when available and convenient. If it is None (default), then the normal Newton-Raphson or the secant method is used. If it is not None, then Halley's method is used. x1 : float, optional Another estimate of the root that should be somewhere near the actual root. Used if `fprime` is not provided. rtol : float, optional Tolerance (relative) for termination. full_output : bool, optional If `full_output` is False (default), the root is returned. If True and `x0` is scalar, the return value is ``(x, r)``, where ``x`` is the root and ``r`` is a `RootResults` object. If True and `x0` is non-scalar, the return value is ``(x, converged, zero_der)`` (see Returns section for details). disp : bool, optional If True, raise a RuntimeError if the algorithm didn't converge, with the error message containing the number of iterations and current function value. Otherwise, the convergence status is recorded in a `RootResults` return object. Ignored if `x0` is not scalar. *Note: this has little to do with displaying, however, the `disp` keyword cannot be renamed for backwards compatibility.* Returns ------- root : float, sequence, or ndarray Estimated location where function is zero. r : `RootResults`, optional Present if ``full_output=True`` and `x0` is scalar. Object containing information about the convergence. In particular, ``r.converged`` is True if the routine converged. converged : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements converged successfully. zero_der : ndarray of bool, optional Present if ``full_output=True`` and `x0` is non-scalar. For vector functions, indicates which elements had a zero derivative. See Also -------- root_scalar : interface to root solvers for scalar functions root : interface to root solvers for multi-input, multi-output functions Notes ----- The convergence rate of the Newton-Raphson method is quadratic, the Halley method is cubic, and the secant method is sub-quadratic. This means that if the function is well-behaved the actual error in the estimated root after the nth iteration is approximately the square (cube for Halley) of the error after the (n-1)th step. However, the stopping criterion used here is the step size and there is no guarantee that a root has been found. Consequently, the result should be verified. Safer algorithms are brentq, brenth, ridder, and bisect, but they all require that the root first be bracketed in an interval where the function changes sign. The brentq algorithm is recommended for general use in one dimensional problems when such an interval has been found. When `newton` is used with arrays, it is best suited for the following types of problems: * The initial guesses, `x0`, are all relatively the same distance from the roots. * Some or all of the extra arguments, `args`, are also arrays so that a class of similar problems can be solved together. * The size of the initial guesses, `x0`, is larger than O(100) elements. Otherwise, a naive loop may perform as well or better than a vector. Examples -------- >>> import numpy as np >>> import matplotlib.pyplot as plt >>> from scipy import optimize >>> def f(x): ... return (x**3 - 1) # only one real root at x = 1 ``fprime`` is not provided, use the secant method: >>> root = optimize.newton(f, 1.5) >>> root 1.0000000000000016 >>> root = optimize.newton(f, 1.5, fprime2=lambda x: 6 * x) >>> root 1.0000000000000016 Only ``fprime`` is provided, use the Newton-Raphson method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2) >>> root 1.0 Both ``fprime2`` and ``fprime`` are provided, use Halley's method: >>> root = optimize.newton(f, 1.5, fprime=lambda x: 3 * x**2, ... fprime2=lambda x: 6 * x) >>> root 1.0 When we want to find roots for a set of related starting values and/or function parameters, we can provide both of those as an array of inputs: >>> f = lambda x, a: x**3 - a >>> fder = lambda x, a: 3 * x**2 >>> rng = np.random.default_rng() >>> x = rng.standard_normal(100) >>> a = np.arange(-50, 50) >>> vec_res = optimize.newton(f, x, fprime=fder, args=(a, ), maxiter=200) The above is the equivalent of solving for each value in ``(x, a)`` separately in a for-loop, just faster: >>> loop_res = [optimize.newton(f, x0, fprime=fder, args=(a0,), ... maxiter=200) ... for x0, a0 in zip(x, a)] >>> np.allclose(vec_res, loop_res) True Plot the results found for all values of ``a``: >>> analytical_result = np.sign(a) * np.abs(a)**(1/3) >>> fig, ax = plt.subplots() >>> ax.plot(a, analytical_result, 'o') >>> ax.plot(a, vec_res, '.') >>> ax.set_xlabel('$a$') >>> ax.set_ylabel('$x$ where $f(x, a)=0$') >>> plt.show() """ if tol <= 0: raise ValueError("tol too small (%g <= 0)" % tol) maxiter = operator.index(maxiter) if maxiter < 1: raise ValueError("maxiter must be greater than 0") if np.size(x0) > 1: return _array_newton(func, x0, fprime, args, tol, maxiter, fprime2, full_output) # Convert to float (don't use float(x0); this works also for complex x0) # Use np.asarray because we want x0 to be a numpy object, not a Python # object. e.g. np.complex(1+1j) > 0 is possible, but (1 + 1j) > 0 raises # a TypeError x0 = np.asarray(x0)[()] * 1.0 p0 = x0 funcalls = 0 if fprime is not None: # Newton-Raphson method for itr in range(maxiter): # first evaluate fval fval = func(p0, *args) funcalls += 1 # If fval is 0, a root has been found, then terminate if fval == 0: return _results_select( full_output, (p0, funcalls, itr, _ECONVERGED)) fder = fprime(p0, *args) funcalls += 1 if fder == 0: msg = "Derivative was zero." if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p0)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) return _results_select( full_output, (p0, funcalls, itr + 1, _ECONVERR)) newton_step = fval / fder if fprime2: fder2 = fprime2(p0, *args) funcalls += 1 # Halley's method: # newton_step /= (1.0 - 0.5 * newton_step * fder2 / fder) # Only do it if denominator stays close enough to 1 # Rationale: If 1-adj < 0, then Halley sends x in the # opposite direction to Newton. Doesn't happen if x is close # enough to root. adj = newton_step * fder2 / fder / 2 if np.abs(adj) < 1: newton_step /= 1.0 - adj p = p0 - newton_step if np.isclose(p, p0, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0 = p else: # Secant method if x1 is not None: if x1 == x0: raise ValueError("x1 and x0 must be different") p1 = x1 else: eps = 1e-4 p1 = x0 * (1 + eps) p1 += (eps if p1 >= 0 else -eps) q0 = func(p0, *args) funcalls += 1 q1 = func(p1, *args) funcalls += 1 if abs(q1) < abs(q0): p0, p1, q0, q1 = p1, p0, q1, q0 for itr in range(maxiter): if q1 == q0: if p1 != p0: msg = "Tolerance of %s reached." % (p1 - p0) if disp: msg += ( " Failed to converge after %d iterations, value is %s." % (itr + 1, p1)) raise RuntimeError(msg) warnings.warn(msg, RuntimeWarning) p = (p1 + p0) / 2.0 return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERR)) else: if abs(q1) > abs(q0): p = (-q0 / q1 * p1 + p0) / (1 - q0 / q1) else: p = (-q1 / q0 * p0 + p1) / (1 - q1 / q0) if np.isclose(p, p1, rtol=rtol, atol=tol): return _results_select( full_output, (p, funcalls, itr + 1, _ECONVERGED)) p0, q0 = p1, q1 p1 = p q1 = func(p1, *args) funcalls += 1 if disp: msg = ("Failed to converge after %d iterations, value is %s." % (itr + 1, p)) > raise RuntimeError(msg) E RuntimeError: Failed to converge after 50 iterations, value is nan. /usr/lib/python3/dist-packages/scipy/optimize/_zeros_py.py:384: RuntimeError =============================== warnings summary =============================== einsteinpy/ijit.py:30 .pybuild/cpython3_3.11_einsteinpy/build/tests/test_ijit/test_ijit_without_numba.py::test_decorator /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build/einsteinpy/ijit.py:30: UserWarning: Could not import numba package. All einsteinpy functions will work properly but the CPU intensive algorithms will be slow. Consider installing numba to boost performance. .pybuild/cpython3_3.11_einsteinpy/build/tests/test_symbolic/test_christoffel.py::test_properties /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.11_einsteinpy/build/tests/test_symbolic/test_christoffel.py::test_properties returned True, which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? .pybuild/cpython3_3.11_einsteinpy/build/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config /usr/lib/python3/dist-packages/_pytest/python.py:199: PytestReturnNotNoneWarning: Expected None, but .pybuild/cpython3_3.11_einsteinpy/build/tests/test_symbolic/test_schouten.py::test_SchoutenTensor_with_arbritary_config returned True, which will be an error in a future version of pytest. Did you mean to use `assert` instead of `return`? -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html =========================== short test summary info ============================ ERROR tests/test_plotting/test_rays/test_shadow.py::test_plotter_has_correct_attributes ERROR tests/test_plotting/test_rays/test_shadow.py::test_plot_calls_plt_plot ======= 285 passed, 9 xfailed, 4 warnings, 2 errors in 627.10s (0:10:27) ======= E: pybuild pybuild:389: test: plugin distutils failed with: exit code=1: cd /build/reproducible-path/einsteinpy-0.4.0/.pybuild/cpython3_3.11_einsteinpy/build; python3.11 -m pytest tests dh_auto_test: error: pybuild --test --test-pytest -i python{version} -p "3.12 3.11" returned exit code 13 make: *** [debian/rules:6: build] Error 25 dpkg-buildpackage: error: debian/rules build subprocess returned exit status 2 I: copying local configuration E: Failed autobuilding of package I: unmounting dev/ptmx filesystem I: unmounting dev/pts filesystem I: unmounting dev/shm filesystem I: unmounting proc filesystem I: unmounting sys filesystem I: cleaning the build env I: removing directory /srv/workspace/pbuilder/7038 and its subdirectories Sat May 11 15:45:07 UTC 2024 W: No second build log, what happened?