{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.6ZaELV8K/b1/pyswarms_1.3.0-6_amd64.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.6ZaELV8K/b2/pyswarms_1.3.0-6_amd64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,3 +1,3 @@\n \n- d40d90e5a4b6723e505c23cf29e6730b 5765968 doc optional python-pyswarms-doc_1.3.0-6_all.deb\n+ d3193ad874732c52a91d32ec11707d32 5766064 doc optional python-pyswarms-doc_1.3.0-6_all.deb\n  ba0a2a50a4c92ccac1676c44c5b3d13a 51708 python optional python3-pyswarms_1.3.0-6_all.deb\n"}, {"source1": "python-pyswarms-doc_1.3.0-6_all.deb", "source2": "python-pyswarms-doc_1.3.0-6_all.deb", "unified_diff": null, "details": [{"source1": "file list", "source2": "file list", "unified_diff": "@@ -1,3 +1,3 @@\n -rw-r--r--   0        0        0        4 2024-01-23 14:26:07.000000 debian-binary\n -rw-r--r--   0        0        0     4440 2024-01-23 14:26:07.000000 control.tar.xz\n--rw-r--r--   0        0        0  5761336 2024-01-23 14:26:07.000000 data.tar.xz\n+-rw-r--r--   0        0        0  5761432 2024-01-23 14:26:07.000000 data.tar.xz\n"}, {"source1": "control.tar.xz", "source2": "control.tar.xz", "unified_diff": null, "details": [{"source1": "control.tar", "source2": "control.tar", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": "data.tar.xz", "source2": "data.tar.xz", "unified_diff": null, "details": [{"source1": "data.tar", "source2": "data.tar", "unified_diff": null, "details": [{"source1": "./usr/share/doc/python3-pyswarms/html/examples/tutorials/options_handler.html", "source2": "./usr/share/doc/python3-pyswarms/html/examples/tutorials/options_handler.html", "unified_diff": "@@ -508,15 +508,15 @@\n 2020-12-11 19:23:30,971 - matplotlib.animation - WARNING - MovieWriter imagemagick unavailable; using Pillow instead.\n 2020-12-11 19:23:30,973 - matplotlib.animation - INFO - Animation.save using &lt;class &#39;matplotlib.animation.PillowWriter&#39;&gt;\n </pre></div></div>\n </div>\n <p>Compare the two animations. Observe the convergence time and particle overshoot in both figures.</p>\n <p>Left: Without handle</p>\n <p>Right: With handle</p>\n-<p><img alt=\"c2bb773854974d2baede99d37c3b9f3d\" class=\"no-scaled-link\" src=\"../../_images/ani.gif\" style=\"width: 450px;\" /> <img alt=\"3a1164cb5bf947c596f35a0bbe874a8a\" class=\"no-scaled-link\" src=\"../../_images/ani_h.gif\" style=\"width: 450px;\" /></p>\n+<p><img alt=\"d30a3ffc2adf48eda807b7f1fc80b82e\" class=\"no-scaled-link\" src=\"../../_images/ani.gif\" style=\"width: 450px;\" /> <img alt=\"12a221389feb485d801c4cf41a0b051a\" class=\"no-scaled-link\" src=\"../../_images/ani_h.gif\" style=\"width: 450px;\" /></p>\n <div class=\"nbinput nblast docutils container\">\n <div class=\"prompt highlight-none notranslate\"><div class=\"highlight\"><pre><span></span>[ ]:\n </pre></div>\n </div>\n <div class=\"input_area highlight-ipython2 notranslate\"><div class=\"highlight\"><pre><span></span>\n </pre></div>\n </div>\n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -129,15 +129,15 @@\n imagemagick unavailable; using Pillow instead.\n 2020-12-11 19:23:30,973 - matplotlib.animation - INFO - Animation.save using\n <class 'matplotlib.animation.PillowWriter'>\n Compare the two animations. Observe the convergence time and particle overshoot\n in both figures.\n Left: Without handle\n Right: With handle\n-[c2bb773854974d2baede99d37c3b9f3d][3a1164cb5bf947c596f35a0bbe874a8a]\n+[d30a3ffc2adf48eda807b7f1fc80b82e][12a221389feb485d801c4cf41a0b051a]\n [ ]:\n *\b**\b**\b**\b**\b* C\bCu\bus\bst\bto\bom\bmi\biz\bzi\bin\bng\bg e\ben\bnd\bdi\bin\bng\bg o\bop\bpt\bti\bio\bon\bns\bs_\b?\b\uf0c1 *\b**\b**\b**\b**\b*\n As of the current version(1.2.0), you\u2019ll need to create your own optimization\n loop to keep custom ending options. The next block shows a basic implementation\n of this without logging etc.\n [6]:\n from pyswarms.backend.operators import compute_pbest,\n"}]}]}]}]}]}