{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.edYP3Iqt/b1/sasview_6.1.1-1_amd64.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.edYP3Iqt/b2/sasview_6.1.1-1_amd64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,4 +1,4 @@\n \n f79257d1bb9af377352199487ef1a30c 42671092 python optional python3-sasview_6.1.1-1_all.deb\n- cb97859e08025bfe8e9060cfa5856ca4 74941228 doc optional sasview-doc_6.1.1-1_all.deb\n+ 11a0dee2a1ba9b589452ed024a61a90b 74941444 doc optional sasview-doc_6.1.1-1_all.deb\n 3c603d5215e2a2787a9c5e1649cfa9a3 167060 science optional sasview_6.1.1-1_all.deb\n"}, {"source1": "sasview-doc_6.1.1-1_all.deb", "source2": "sasview-doc_6.1.1-1_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 2025-10-08 04:01:29.000000 debian-binary\n -rw-r--r-- 0 0 0 29776 2025-10-08 04:01:29.000000 control.tar.xz\n--rw-r--r-- 0 0 0 74911260 2025-10-08 04:01:29.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 74911476 2025-10-08 04:01:29.000000 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/sasview/docs/dev/sasview-api/sas.qtgui.Perspectives.ParticleEditor.datamodel.html", "source2": "./usr/share/doc/sasview/docs/dev/sasview-api/sas.qtgui.Perspectives.ParticleEditor.datamodel.html", "unified_diff": "@@ -64,15 +64,15 @@\n
\n
\n __abstractmethods__ = frozenset({'n_points', 'name', 'parameters', 'sample_points_and_weights'})\u00b6
\n
\n \n
\n
\n-__dict__ = mappingproxy({'__module__': 'sas.qtgui.Perspectives.ParticleEditor.datamodel.calculation', '__firstlineno__': 70, '__doc__': 'Base class for angular distributions ', 'n_points': <property object>, 'name': <staticmethod(<function AngularDistribution.name>)>, 'parameters': <staticmethod(<function AngularDistribution.parameters>)>, 'sample_points_and_weights': <function AngularDistribution.sample_points_and_weights>, '__static_attributes__': (), '__dict__': <attribute '__dict__' of 'AngularDistribution' objects>, '__weakref__': <attribute '__weakref__' of 'AngularDistribution' objects>, '__abstractmethods__': frozenset({'sample_points_and_weights', 'n_points', 'parameters', 'name'}), '_abc_impl': <_abc._abc_data object>, '__annotations__': {}})\u00b6
\n+__dict__ = mappingproxy({'__module__': 'sas.qtgui.Perspectives.ParticleEditor.datamodel.calculation', '__firstlineno__': 70, '__doc__': 'Base class for angular distributions ', 'n_points': <property object>, 'name': <staticmethod(<function AngularDistribution.name>)>, 'parameters': <staticmethod(<function AngularDistribution.parameters>)>, 'sample_points_and_weights': <function AngularDistribution.sample_points_and_weights>, '__static_attributes__': (), '__dict__': <attribute '__dict__' of 'AngularDistribution' objects>, '__weakref__': <attribute '__weakref__' of 'AngularDistribution' objects>, '__abstractmethods__': frozenset({'n_points', 'sample_points_and_weights', 'name', 'parameters'}), '_abc_impl': <_abc._abc_data object>, '__annotations__': {}})\u00b6\n
\n \n
\n
\n __doc__ = 'Base class for angular distributions '\u00b6
\n
\n \n@@ -1010,15 +1010,15 @@\n
\n
\n __abstractmethods__ = frozenset({'_bounding_surface_check_points', 'generate'})\u00b6
\n
\n \n
\n
\n-__dict__ = mappingproxy({'__module__': 'sas.qtgui.Perspectives.ParticleEditor.datamodel.calculation', '__firstlineno__': 35, '__doc__': 'Base class for point generators\\n\\nBatches need to be usable for bootstrapping, the run needs to be split into\\nn_bootstrap sections, and the output saved for each section, so that it can\\nbe rebuilt in different combinations to establish a variance.\\n', '__init__': <function SpatialDistribution.__init__>, 'allows_bootstrap': <property object>, 'info': <property object>, 'generate': <function SpatialDistribution.generate>, '_bounding_surface_check_points': <function SpatialDistribution._bounding_surface_check_points>, 'bounding_surface_check_points': <function SpatialDistribution.bounding_surface_check_points>, '__static_attributes__': ('n_desired_points', 'n_points', 'radius'), '__dict__': <attribute '__dict__' of 'SpatialDistribution' objects>, '__weakref__': <attribute '__weakref__' of 'SpatialDistribution' objects>, '__abstractmethods__': frozenset({'generate', '_bounding_surface_check_points'}), '_abc_impl': <_abc._abc_data object>, '__annotations__': {}})\u00b6
\n+__dict__ = mappingproxy({'__module__': 'sas.qtgui.Perspectives.ParticleEditor.datamodel.calculation', '__firstlineno__': 35, '__doc__': 'Base class for point generators\\n\\nBatches need to be usable for bootstrapping, the run needs to be split into\\nn_bootstrap sections, and the output saved for each section, so that it can\\nbe rebuilt in different combinations to establish a variance.\\n', '__init__': <function SpatialDistribution.__init__>, 'allows_bootstrap': <property object>, 'info': <property object>, 'generate': <function SpatialDistribution.generate>, '_bounding_surface_check_points': <function SpatialDistribution._bounding_surface_check_points>, 'bounding_surface_check_points': <function SpatialDistribution.bounding_surface_check_points>, '__static_attributes__': ('n_desired_points', 'n_points', 'radius'), '__dict__': <attribute '__dict__' of 'SpatialDistribution' objects>, '__weakref__': <attribute '__weakref__' of 'SpatialDistribution' objects>, '__abstractmethods__': frozenset({'_bounding_surface_check_points', 'generate'}), '_abc_impl': <_abc._abc_data object>, '__annotations__': {}})\u00b6\n
\n \n
\n
\n __doc__ = 'Base class for point generators\\n\\nBatches need to be usable for bootstrapping, the run needs to be split into\\nn_bootstrap sections, and the output saved for each section, so that it can\\nbe rebuilt in different combinations to establish a variance.\\n'\u00b6
\n
\n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -26,15 +26,15 @@\n 'n_points': , 'name': )>, 'parameters': )>, 'sample_points_and_weights':\n , '__static_\n attributes__': (), '__dict__': , '__weakref__': , '__abstractmethods__': frozenset(\n- {'sample_points_and_weights', 'n_points', 'parameters', 'name'}), '_\n+ {'n_points', 'sample_points_and_weights', 'name', 'parameters'}), '_\n abc_impl': <_abc._abc_data object>, '__annotations__': {}})\u00b6\n __doc__ = 'Base class for angular distributions '\u00b6\n __firstlineno__ = 70\u00b6\n __module__ =\n 'sas.qtgui.Perspectives.ParticleEditor.datamodel.calculation'\u00b6\n __static_attributes__ = ()\u00b6\n __weakref__\u00b6\n@@ -782,16 +782,16 @@\n object>, 'generate': , '_\n bounding_surface_check_points': , 'bounding_surface_check_points':\n , '__\n static_attributes__': ('n_desired_points', 'n_points', 'radius'), '__\n dict__': , '__\n weakref__': ,\n- '__abstractmethods__': frozenset({'generate', '_bounding_surface_check_\n- points'}), '_abc_impl': <_abc._abc_data object>, '__annotations__':\n+ '__abstractmethods__': frozenset({'_bounding_surface_check_points',\n+ 'generate'}), '_abc_impl': <_abc._abc_data object>, '__annotations__':\n {}})\u00b6\n __doc__ = 'Base class for point generators\\n\\nBatches need to be usable\n for bootstrapping, the run needs to be split into\\nn_bootstrap\n sections, and the output saved for each section, so that it can\\nbe\n rebuilt in different combinations to establish a variance.\\n'\u00b6\n __firstlineno__ = 35\u00b6\n __init__(radius: float, n_points: int, n_desired_points)\u00b6\n"}]}, {"source1": "./usr/share/doc/sasview/docs/dev/sasview-api/sas.sascalc.fit.html", "source2": "./usr/share/doc/sasview/docs/dev/sasview-api/sas.sascalc.fit.html", "unified_diff": "@@ -1804,15 +1804,15 @@\n
\n __weakref__\u00b6
\n

list of weak references to the object

\n
\n \n
\n
\n-base: <sas.sascalc.fit.models.ModelManagerBase object at 0x7f360037f680> = None\u00b6
\n+base: <sas.sascalc.fit.models.ModelManagerBase object at 0x7f3c07457680> = None\u00b6\n
\n \n
\n
\n cat_model_list()\u00b6
\n
\n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -787,15 +787,15 @@\n __firstlineno__ = 285\u00b6\n __init__()\u00b6\n __module__ = 'sas.sascalc.fit.models'\u00b6\n __static_attributes__ = ()\u00b6\n __weakref__\u00b6\n list of weak references to the object\n base: = None\u00b6\n+ 0x7f3c07457680> = None\u00b6\n cat_model_list()\u00b6\n composable_models()\u00b6\n get_model_dictionary()\u00b6\n get_model_list()\u00b6\n plugins_reset()\u00b6\n update()\u00b6\n class sas.sascalc.fit.models.ModelManagerBase\u00b6\n"}]}, {"source1": "./usr/share/doc/sasview/docs/searchindex.js", "source2": "./usr/share/doc/sasview/docs/searchindex.js", "unified_diff": null, "details": [{"source1": "js-beautify {}", "source2": "js-beautify {}", "unified_diff": "@@ -45086,15 +45086,15 @@\n \"08mar2024\": 185,\n \"08oct2016\": 174,\n \"09\": [118, 137, 162, 176, 177, 183, 210],\n \"0953573965284052e\": [53, 69],\n \"0_0025\": 128,\n \"0_2025\": 128,\n \"0beta4\": 120,\n- \"0x7f360037f680\": 109,\n+ \"0x7f3c07457680\": 109,\n \"1\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 177, 178, 179, 180, 181, 182, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219],\n \"10\": [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25, 26, 27, 28, 29, 30, 31, 32, 33, 34, 35, 36, 37, 38, 39, 40, 41, 42, 43, 44, 45, 46, 47, 48, 49, 50, 51, 52, 53, 54, 55, 56, 57, 58, 59, 60, 61, 62, 63, 64, 65, 66, 67, 68, 69, 70, 71, 72, 73, 74, 75, 76, 77, 78, 79, 80, 81, 82, 83, 84, 85, 86, 87, 88, 89, 90, 91, 92, 93, 94, 95, 96, 97, 98, 99, 100, 101, 102, 103, 104, 105, 106, 107, 108, 109, 110, 111, 112, 113, 114, 115, 116, 117, 118, 119, 120, 121, 123, 124, 125, 126, 127, 128, 129, 130, 131, 132, 133, 134, 135, 136, 137, 138, 139, 140, 141, 142, 143, 144, 145, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 156, 157, 158, 159, 160, 161, 162, 163, 164, 165, 166, 167, 168, 169, 170, 171, 172, 173, 174, 175, 176, 177, 178, 179, 180, 181, 182, 183, 184, 185, 186, 187, 188, 189, 190, 191, 192, 193, 194, 195, 196, 197, 198, 199, 200, 201, 202, 203, 204, 205, 206, 207, 208, 209, 210, 211, 212, 213, 214, 215, 216, 217, 218, 219],\n \"100\": [57, 70, 72, 94, 105, 109, 138, 139, 141, 154, 165, 167, 168, 171, 176, 178, 185, 192, 198, 208, 214],\n \"1000\": [59, 68, 70, 110, 128],\n \"100000\": 68,\n \"1000a_sphere_sm\": 128,\n \"1002\": [120, 214],\n"}]}]}]}]}]}