{"diffoscope-json-version": 1, "source1": "/srv/reproducible-results/rbuild-debian/r-b-build.wCXu7Gl7/b1/nitime_0.9-5_arm64.changes", "source2": "/srv/reproducible-results/rbuild-debian/r-b-build.wCXu7Gl7/b2/nitime_0.9-5_arm64.changes", "unified_diff": null, "details": [{"source1": "Files", "source2": "Files", "unified_diff": "@@ -1,3 +1,3 @@\n \n- a4e7661012b017c7d07ce79c54e94c55 2408576 doc optional python-nitime-doc_0.9-5_all.deb\n+ af84dbca93abc2c700a0e4aac0c723f0 2408560 doc optional python-nitime-doc_0.9-5_all.deb\n 5b094ea23b00be15bb9c83fe60c119e2 2559048 python optional python3-nitime_0.9-5_all.deb\n"}, {"source1": "python-nitime-doc_0.9-5_all.deb", "source2": "python-nitime-doc_0.9-5_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 2023-01-21 04:58:38.000000 debian-binary\n -rw-r--r-- 0 0 0 5156 2023-01-21 04:58:38.000000 control.tar.xz\n--rw-r--r-- 0 0 0 2403228 2023-01-21 04:58:38.000000 data.tar.xz\n+-rw-r--r-- 0 0 0 2403212 2023-01-21 04:58:38.000000 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": "./control", "source2": "./control", "unified_diff": "@@ -1,13 +1,13 @@\n Package: python-nitime-doc\n Source: nitime\n Version: 0.9-5\n Architecture: all\n Maintainer: Debian Med Packaging Team \n-Installed-Size: 4423\n+Installed-Size: 4424\n Depends: libjs-jquery, libjs-underscore\n Suggests: python3-nitime\n Section: doc\n Priority: optional\n Multi-Arch: foreign\n Homepage: https://nipy.org/nitime\n Description: timeseries analysis for neuroscience data (nitime) -- documentation\n"}, {"source1": "./md5sums", "source2": "./md5sums", "unified_diff": null, "details": [{"source1": "./md5sums", "source2": "./md5sums", "comments": ["Files differ"], "unified_diff": null}]}]}]}, {"source1": 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./usr/share/doc/python-nitime-doc/html/documentation.html\n drwxr-xr-x 0 root (0) root (0) 0 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/\n--rw-r--r-- 0 root (0) root (0) 16288 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/ar_est_1var.html\n--rw-r--r-- 0 root (0) root (0) 35332 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/ar_est_2vars.html\n--rw-r--r-- 0 root (0) root (0) 36338 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/ar_est_3vars.html\n--rw-r--r-- 0 root (0) root (0) 20656 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/ar_model_fit.html\n--rw-r--r-- 0 root (0) root (0) 17718 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/event_related_fmri.html\n--rw-r--r-- 0 root (0) root (0) 48564 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/filtering_fmri.html\n--rw-r--r-- 0 root (0) root (0) 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./usr/share/doc/python-nitime-doc/html/examples/event_related_fmri.html\n+-rw-r--r-- 0 root (0) root (0) 48500 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/filtering_fmri.html\n+-rw-r--r-- 0 root (0) root (0) 26374 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/granger_fmri.html\n+-rw-r--r-- 0 root (0) root (0) 26321 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/grasshopper.html\n+-rw-r--r-- 0 root (0) root (0) 9268 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/index.html\n+-rw-r--r-- 0 root (0) root (0) 28730 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/mtm_baseband_power.html\n+-rw-r--r-- 0 root (0) root (0) 29003 2023-01-21 04:58:38.000000 ./usr/share/doc/python-nitime-doc/html/examples/mtm_harmonic_test.html\n+-rw-r--r-- 0 root (0) root (0) 37620 2023-01-21 04:58:38.000000 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\n \n \"NIPY\n@@ -39,15 +39,15 @@\n
  • \n modules |
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  • Nitime Documentation »
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  • Neuroimaging in Python
    • \n \n
    \n@@ -102,16 +102,16 @@\n
  • License
    • \n \n \n \n
    \n

    Previous topic

    \n-

    Multitaper method for baseband demodulation

    \n+

    Multivariate auto-regressive modeling

    \n
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    A note about the discussion section

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    \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -32,15 +32,15 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multitaper_method_for_baseband_demodulation\n+Multivariate_auto-regressive_modeling\n *** Next topic ***\n A_note_about_the_discussion_section\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/documentation.html", "source2": "./usr/share/doc/python-nitime-doc/html/documentation.html", "comments": ["Ordering differences only"], "unified_diff": "@@ -75,29 +75,29 @@\n
  • Release notes for nitime version 0.6
    • \n
  • Release notes for nitime version 0.5
    • \n
  • Release notes for nitime version 0.4
    • \n
  • Release notes for nitime version 0.3
    • \n \n \n
  • Examples\n
    • \n
  • Discussion\n
    • \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -28,29 +28,29 @@\n * What\u00e2\u0080\u0099s_new_in_Nitime\n o Release_notes_for_nitime_version_0.7\n o Release_notes_for_nitime_version_0.6\n o Release_notes_for_nitime_version_0.5\n o Release_notes_for_nitime_version_0.4\n o Release_notes_for_nitime_version_0.3\n * Examples\n- o Auditory_processing_in_grasshoppers\n- o Fitting_an_AR_model:_algorithm_module_interface\n- o Seed_correlation/coherence_with_fMRI_data\n- o Multivariate_auto-regressive_modeling\n- o Fitting_an_MAR_model:_analyzer_interface\n- o Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n o Multitaper_F-test_for_harmonic_components\n o Multitaper_spectral_estimation\n+ o Event-related_fMRI\n+ o Seed_correlation/coherence_with_fMRI_data\n o Filtering_and_normalizing_fMRI_data\n+ o Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n o Calculation_of_signal-to-noise_and_information\n- o Multivariate_auto-regressive_modeling_-_3_variables\n- o Coherency_analysis_of_fMRI_data\n- o Event-related_fMRI\n+ o Fitting_an_MAR_model:_analyzer_interface\n+ o Auditory_processing_in_grasshoppers\n o Multitaper_coherence_estimation\n+ o Fitting_an_AR_model:_algorithm_module_interface\n+ o Multivariate_auto-regressive_modeling_-_3_variables\n o Multitaper_method_for_baseband_demodulation\n+ o Coherency_analysis_of_fMRI_data\n+ o Multivariate_auto-regressive_modeling\n * Discussion\n o A_note_about_the_discussion_section\n o Jack-knifing_a_Multitaper_SDF_estimator\n * Working_with_nitime_source_code\n o Introduction\n o Install_git\n o Following_the_latest_source\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_1var.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_1var.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
    \n \n \"NIPY\n@@ -36,18 +36,18 @@\n
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  • Neuroimaging in Python
    • \n \n@@ -158,21 +158,21 @@\n
  • License
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    Auditory processing in grasshoppers

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    Multitaper coherence estimation

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    Seed correlation/coherence with fMRI data

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    Multivariate auto-regressive modeling - 3 variables

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  • Neuroimaging in Python
    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -79,17 +79,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Auditory_processing_in_grasshoppers\n+Multitaper_coherence_estimation\n *** Next topic ***\n-Seed_correlation/coherence_with_fMRI_data\n+Multivariate_auto-regressive_modeling_-_3_variables\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_2vars.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_2vars.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
    \n \n \"NIPY\n@@ -36,18 +36,18 @@\n
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    • \n \n@@ -326,21 +326,21 @@\n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -210,17 +210,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Seed_correlation/coherence_with_fMRI_data\n+Coherency_analysis_of_fMRI_data\n *** Next topic ***\n-Fitting_an_MAR_model:_analyzer_interface\n+Discussion\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_3vars.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/ar_est_3vars.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n@@ -266,21 +266,21 @@\n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -165,17 +165,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Calculation_of_signal-to-noise_and_information\n+Fitting_an_AR_model:_algorithm_module_interface\n *** Next topic ***\n-Coherency_analysis_of_fMRI_data\n+Multitaper_method_for_baseband_demodulation\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/ar_model_fit.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/ar_model_fit.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n@@ -199,21 +199,21 @@\n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -106,17 +106,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multivariate_auto-regressive_modeling\n+Calculation_of_signal-to-noise_and_information\n *** Next topic ***\n-Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n+Auditory_processing_in_grasshoppers\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/event_related_fmri.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/event_related_fmri.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -325,17 +325,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multitaper_spectral_estimation\n+Seed_correlation/coherence_with_fMRI_data\n *** Next topic ***\n-Calculation_of_signal-to-noise_and_information\n+Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/granger_fmri.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/granger_fmri.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -159,17 +159,17 @@\n * NIPY_Projects\n * Mailing_List\n * License\n **** Table_of_Contents ****\n * Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n o References\n *** Previous topic ***\n-Fitting_an_MAR_model:_analyzer_interface\n+Filtering_and_normalizing_fMRI_data\n *** Next topic ***\n-Multitaper_F-test_for_harmonic_components\n+Calculation_of_signal-to-noise_and_information\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/grasshopper.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/grasshopper.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -138,17 +138,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Examples\n+Fitting_an_MAR_model:_analyzer_interface\n *** Next topic ***\n-Fitting_an_AR_model:_algorithm_module_interface\n+Multitaper_coherence_estimation\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/index.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/index.html", "unified_diff": "@@ -15,15 +15,15 @@\n \n \n \n \n \n \n \n- \n+ \n \n \n \n \n
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    If you want to replicate a particular analysis or visualization, simply copy\n the relevant \u201c.py\u201d script from the source distribution, or download the script\n using the link at the bottom of each page.

    \n

    Thanks to the developers of PyMVPA for designing the software which enables us\n to provide these documented examples!

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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -137,17 +137,17 @@\n * Mailing_List\n * License\n **** Table_of_Contents ****\n * Multitaper_method_for_baseband_demodulation\n o Test_1\n o Test_2\n *** Previous topic ***\n-Multitaper_coherence_estimation\n+Multivariate_auto-regressive_modeling_-_3_variables\n *** Next topic ***\n-Discussion\n+Coherency_analysis_of_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/mtm_harmonic_test.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/mtm_harmonic_test.html", "unified_diff": "@@ -16,15 +16,15 @@\n \n \n \n \n \n \n \n- \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -121,15 +121,15 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Granger_\u00e2\u0080\u0098causality\u00e2\u0080\u0099_of_fMRI_data\n+Examples\n *** Next topic ***\n Multitaper_spectral_estimation\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_coh.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_coh.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -200,17 +200,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Event-related_fMRI\n+Auditory_processing_in_grasshoppers\n *** Next topic ***\n-Multitaper_method_for_baseband_demodulation\n+Fitting_an_AR_model:_algorithm_module_interface\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_spectral_estimation.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/multi_taper_spectral_estimation.html", "unified_diff": "@@ -15,15 +15,15 @@\n \n \n \n \n \n \n \n- \n+ \n \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -248,17 +248,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Multivariate_auto-regressive_modeling_-_3_variables\n+Multitaper_method_for_baseband_demodulation\n *** Next topic ***\n-Event-related_fMRI\n+Multivariate_auto-regressive_modeling\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/seed_analysis.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/seed_analysis.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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    • \n \n", "details": [{"source1": "html2text {}", "source2": "html2text {}", "unified_diff": "@@ -169,17 +169,17 @@\n * News\n *** NIPY Community ***\n * Community_Home\n * NIPY_Projects\n * Mailing_List\n * License\n *** Previous topic ***\n-Fitting_an_AR_model:_algorithm_module_interface\n+Event-related_fMRI\n *** Next topic ***\n-Multivariate_auto-regressive_modeling\n+Filtering_and_normalizing_fMRI_data\n **** Quick search ****\n [q ] [Go]\n **** Navigation ****\n * index\n * modules |\n * next |\n * previous |\n"}]}, {"source1": "./usr/share/doc/python-nitime-doc/html/examples/snr_example.html", "source2": "./usr/share/doc/python-nitime-doc/html/examples/snr_example.html", "unified_diff": "@@ -15,16 +15,16 @@\n \n \n \n \n \n \n \n- \n- \n+ \n+ \n \n \n \n
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