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| 1 | Package:·python-nitime-doc | 1 | Package:·python-nitime-doc |
| 2 | Source:·nitime | 2 | Source:·nitime |
| 3 | Version:·0.9-5 | 3 | Version:·0.9-5 |
| 4 | Architecture:·all | 4 | Architecture:·all |
| 5 | Maintainer:·Debian·Med·Packaging·Team·<debian-med-packaging@lists.alioth.debian.org> | 5 | Maintainer:·Debian·Med·Packaging·Team·<debian-med-packaging@lists.alioth.debian.org> |
| 6 | Installed-Size:·442 | 6 | Installed-Size:·4424 |
| 7 | Depends:·libjs-jquery,·libjs-underscore | 7 | Depends:·libjs-jquery,·libjs-underscore |
| 8 | Suggests:·python3-nitime | 8 | Suggests:·python3-nitime |
| 9 | Section:·doc | 9 | Section:·doc |
| 10 | Priority:·optional | 10 | Priority:·optional |
| 11 | Multi-Arch:·foreign | 11 | Multi-Arch:·foreign |
| 12 | Homepage:·https://nipy.org/nitime | 12 | Homepage:·https://nipy.org/nitime |
| 13 | Description:·timeseries·analysis·for·neuroscience·data·(nitime)·--·documentation | 13 | Description:·timeseries·analysis·for·neuroscience·data·(nitime)·--·documentation |
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| 16 | ····<script·src="../_static/underscore.js"></script> | 16 | ····<script·src="../_static/underscore.js"></script> |
| 17 | ····<script·src="../_static/_sphinx_javascript_frameworks_compat.js"></script> | 17 | ····<script·src="../_static/_sphinx_javascript_frameworks_compat.js"></script> |
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| 26 | ··</head><body> | 26 | ··</head><body> |
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| 102 | ····<li><a·class="reference·external" | 102 | ····<li><a·class="reference·external" |
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| 148 | ········<li·class="nav-item·nav-item-this"><a·href="">Neuroimaging·in·Python</a></li>· | 148 | ········<li·class="nav-item·nav-item-this"><a·href="">Neuroimaging·in·Python</a></li>· |
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| 32 | ····*·News | 32 | ····*·News |
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| 41 | A_note_about_the_discussion_section | 41 | A_note_about_the_discussion_section |
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| 75 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.6.html">Release·notes·for·nitime·version·0.6</a></li> | 75 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.6.html">Release·notes·for·nitime·version·0.6</a></li> |
| 76 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.5.html">Release·notes·for·nitime·version·0.5</a></li> | 76 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.5.html">Release·notes·for·nitime·version·0.5</a></li> |
| 77 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.4.html">Release·notes·for·nitime·version·0.4</a></li> | 77 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.4.html">Release·notes·for·nitime·version·0.4</a></li> |
| 78 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.3.html">Release·notes·for·nitime·version·0.3</a></li> | 78 | <li·class="toctree-l2"><a·class="reference·internal"·href="whatsnew/version0.3.html">Release·notes·for·nitime·version·0.3</a></li> |
| 79 | </ul> | 79 | </ul> |
| 80 | </li> | 80 | </li> |
| 81 | <li·class="toctree-l1"><a·class="reference·internal"·href="examples/index.html">Examples</a><ul> | 81 | <li·class="toctree-l1"><a·class="reference·internal"·href="examples/index.html">Examples</a><ul> |
| 82 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/grasshopper.html">Auditory·processing·in·grasshoppers</a></li> | ||
| 83 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_1var.html">Fitting·an·AR·model:·algorithm·module·interface</a></li> | ||
| 84 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/seed_analysis.html">Seed·correlation/coherence·with·fMRI·data</a></li> | ||
| 85 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_2vars.html">Multivariate·auto-regressive·modeling</a></li> | ||
| 86 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_model_fit.html">Fitting·an·MAR·model:·analyzer·interface</a></li> | ||
| 87 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/granger_fmri.html">Granger·‘causality’·of·fMRI·data</a></li> | ||
| 88 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/mtm_harmonic_test.html">Multitaper·F-test·for·harmonic·components</a></li> | 82 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/mtm_harmonic_test.html">Multitaper·F-test·for·harmonic·components</a></li> |
| 89 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/multi_taper_spectral_estimation.html">Multitaper·spectral·estimation</a></li> | 83 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/multi_taper_spectral_estimation.html">Multitaper·spectral·estimation</a></li> |
| 84 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/event_related_fmri.html">Event-related·fMRI</a></li> | ||
| 85 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/seed_analysis.html">Seed·correlation/coherence·with·fMRI·data</a></li> | ||
| 90 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/filtering_fmri.html">Filtering·and·normalizing·fMRI·data</a></li> | 86 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/filtering_fmri.html">Filtering·and·normalizing·fMRI·data</a></li> |
| 87 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/granger_fmri.html">Granger·‘causality’·of·fMRI·data</a></li> | ||
| 91 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/snr_example.html">Calculation·of·signal-to-noise·and·information</a></li> | 88 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/snr_example.html">Calculation·of·signal-to-noise·and·information</a></li> |
| 89 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_model_fit.html">Fitting·an·MAR·model:·analyzer·interface</a></li> | ||
| 90 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/grasshopper.html">Auditory·processing·in·grasshoppers</a></li> | ||
| 92 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_3vars.html">Multivariate·auto-regressive·modeling·-·3·variables</a></li> | ||
| 93 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/resting_state_fmri.html">Coherency·analysis·of·fMRI·data</a></li> | ||
| 94 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/event_related_fmri.html">Event-related·fMRI</a></li> | ||
| 95 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/multi_taper_coh.html">Multitaper·coherence·estimation</a></li> | 91 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/multi_taper_coh.html">Multitaper·coherence·estimation</a></li> |
| 92 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_1var.html">Fitting·an·AR·model:·algorithm·module·interface</a></li> | ||
| 93 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_3vars.html">Multivariate·auto-regressive·modeling·-·3·variables</a></li> | ||
| 96 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/mtm_baseband_power.html">Multitaper·method·for·baseband·demodulation</a></li> | 94 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/mtm_baseband_power.html">Multitaper·method·for·baseband·demodulation</a></li> |
| 95 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/resting_state_fmri.html">Coherency·analysis·of·fMRI·data</a></li> | ||
| 96 | <li·class="toctree-l2"><a·class="reference·internal"·href="examples/ar_est_2vars.html">Multivariate·auto-regressive·modeling</a></li> | ||
| 97 | </ul> | 97 | </ul> |
| 98 | </li> | 98 | </li> |
| 99 | <li·class="toctree-l1"><a·class="reference·internal"·href="discussion/index.html">Discussion</a><ul> | 99 | <li·class="toctree-l1"><a·class="reference·internal"·href="discussion/index.html">Discussion</a><ul> |
| 100 | <li·class="toctree-l2"><a·class="reference·internal"·href="discussion/note_about_discussion.html">A·note·about·the·discussion·section</a></li> | 100 | <li·class="toctree-l2"><a·class="reference·internal"·href="discussion/note_about_discussion.html">A·note·about·the·discussion·section</a></li> |
| 101 | <li·class="toctree-l2"><a·class="reference·internal"·href="discussion/multitaper_jackknife.html">Jack-knifing·a·Multitaper·SDF·estimator</a></li> | 101 | <li·class="toctree-l2"><a·class="reference·internal"·href="discussion/multitaper_jackknife.html">Jack-knifing·a·Multitaper·SDF·estimator</a></li> |
| 102 | </ul> | 102 | </ul> |
| 103 | </li> | 103 | </li> |
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| 28 | ····*·Whatâs_new_in_Nitime | 28 | ····*·Whatâs_new_in_Nitime |
| 29 | ··········o·Release_notes_for_nitime_version_0.7 | 29 | ··········o·Release_notes_for_nitime_version_0.7 |
| 30 | ··········o·Release_notes_for_nitime_version_0.6 | 30 | ··········o·Release_notes_for_nitime_version_0.6 |
| 31 | ··········o·Release_notes_for_nitime_version_0.5 | 31 | ··········o·Release_notes_for_nitime_version_0.5 |
| 32 | ··········o·Release_notes_for_nitime_version_0.4 | 32 | ··········o·Release_notes_for_nitime_version_0.4 |
| 33 | ··········o·Release_notes_for_nitime_version_0.3 | 33 | ··········o·Release_notes_for_nitime_version_0.3 |
| 34 | ····*·Examples | 34 | ····*·Examples |
| 35 | ··········o·Auditory_processing_in_grasshoppers | ||
| 36 | ··········o·Fitting_an_AR_model:_algorithm_module_interface | ||
| 37 | ··········o·Seed_correlation/coherence_with_fMRI_data | ||
| 38 | ··········o·Multivariate_auto-regressive_modeling | ||
| 39 | ··········o·Fitting_an_MAR_model:_analyzer_interface | ||
| 40 | ··········o·Granger_âcausalityâ_of_fMRI_data | ||
| 41 | ··········o·Multitaper_F-test_for_harmonic_components | 35 | ··········o·Multitaper_F-test_for_harmonic_components |
| 42 | ··········o·Multitaper_spectral_estimation | 36 | ··········o·Multitaper_spectral_estimation |
| 37 | ··········o·Event-related_fMRI | ||
| 38 | ··········o·Seed_correlation/coherence_with_fMRI_data | ||
| 43 | ··········o·Filtering_and_normalizing_fMRI_data | 39 | ··········o·Filtering_and_normalizing_fMRI_data |
| 40 | ··········o·Granger_âcausalityâ_of_fMRI_data | ||
| 44 | ··········o·Calculation_of_signal-to-noise_and_information | 41 | ··········o·Calculation_of_signal-to-noise_and_information |
| 42 | ··········o·Fitting_an_MAR_model:_analyzer_interface | ||
| 43 | ··········o·Auditory_processing_in_grasshoppers | ||
| 45 | ··········o·Multivariate_auto-regressive_modeling_-_3_variables | ||
| 46 | ··········o·Coherency_analysis_of_fMRI_data | ||
| 47 | ··········o·Event-related_fMRI | ||
| 48 | ··········o·Multitaper_coherence_estimation | 44 | ··········o·Multitaper_coherence_estimation |
| 45 | ··········o·Fitting_an_AR_model:_algorithm_module_interface | ||
| 46 | ··········o·Multivariate_auto-regressive_modeling_-_3_variables | ||
| 49 | ··········o·Multitaper_method_for_baseband_demodulation | 47 | ··········o·Multitaper_method_for_baseband_demodulation |
| 48 | ··········o·Coherency_analysis_of_fMRI_data | ||
| 49 | ··········o·Multivariate_auto-regressive_modeling | ||
| 50 | ····*·Discussion | 50 | ····*·Discussion |
| 51 | ··········o·A_note_about_the_discussion_section | 51 | ··········o·A_note_about_the_discussion_section |
| 52 | ··········o·Jack-knifing_a_Multitaper_SDF_estimator | 52 | ··········o·Jack-knifing_a_Multitaper_SDF_estimator |
| 53 | ····*·Working_with_nitime_source_code | 53 | ····*·Working_with_nitime_source_code |
| 54 | ··········o·Introduction | 54 | ··········o·Introduction |
| 55 | ··········o·Install_git | 55 | ··········o·Install_git |
| 56 | ··········o·Following_the_latest_source | 56 | ··········o·Following_the_latest_source |
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| 15 | ····<script·src="../_static/jquery.js"></script> | 15 | ····<script·src="../_static/jquery.js"></script> |
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| 159 | ····*·NIPY_Projects | 159 | ····*·NIPY_Projects |
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| 69 | <p>If·you·want·to·replicate·a·particular·analysis·or·visualization,·simply·copy | 69 | <p>If·you·want·to·replicate·a·particular·analysis·or·visualization,·simply·copy |
| 70 | the·relevant·“.py”·script·from·the·source·distribution,·or·download·the·script | 70 | the·relevant·“.py”·script·from·the·source·distribution,·or·download·the·script |
| 71 | using·the·link·at·the·bottom·of·each·page.</p> | 71 | using·the·link·at·the·bottom·of·each·page.</p> |
| 72 | <p>Thanks·to·the·developers·of·<a·class="reference·external"·href="http://www.pymvpa.org">PyMVPA</a>·for·designing·the·software·which·enables·us | 72 | <p>Thanks·to·the·developers·of·<a·class="reference·external"·href="http://www.pymvpa.org">PyMVPA</a>·for·designing·the·software·which·enables·us |
| 73 | to·provide·these·documented·examples!</p> | 73 | to·provide·these·documented·examples!</p> |
| 74 | <div·class="toctree-wrapper·compound"> | 74 | <div·class="toctree-wrapper·compound"> |
| 75 | <ul> | 75 | <ul> |
| 76 | <li·class="toctree-l1"><a·class="reference·internal"·href="grasshopper.html">Auditory·processing·in·grasshoppers</a></li> | ||
| 77 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar | 76 | <li·class="toctree-l1"><a·class="reference·internal"·href="mtm_harmonic_test.html">Multitaper·F-test·for·harmonic·components</a></li> |
| 77 | <li·class="toctree-l1"><a·class="reference·internal"·href="multi_taper_spectral_estimation.html">Multitaper·spectral·estimation</a></li> | ||
| 78 | <li·class="toctree-l1"><a·class="reference·internal"·href="event_related_fmri.html">Event-related·fMRI</a></li> | ||
| 78 | <li·class="toctree-l1"><a·class="reference·internal"·href="seed_analysis.html">Seed·correlation/coherence·with·fMRI·data</a></li> | 79 | <li·class="toctree-l1"><a·class="reference·internal"·href="seed_analysis.html">Seed·correlation/coherence·with·fMRI·data</a></li> |
| 79 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_est_2vars.html">Multivariate·auto-regressive·modeling</a></li> | ||
| 80 | <li·class="toctree-l1"><a·class="reference·internal"·href=" | 80 | <li·class="toctree-l1"><a·class="reference·internal"·href="filtering_fmri.html">Filtering·and·normalizing·fMRI·data</a></li> |
| 81 | <li·class="toctree-l1"><a·class="reference·internal"·href="granger_fmri.html">Granger·‘causality’·of·fMRI·data</a><ul> | 81 | <li·class="toctree-l1"><a·class="reference·internal"·href="granger_fmri.html">Granger·‘causality’·of·fMRI·data</a><ul> |
| 82 | <li·class="toctree-l2"><a·class="reference·internal"·href="granger_fmri.html#references">References</a></li> | 82 | <li·class="toctree-l2"><a·class="reference·internal"·href="granger_fmri.html#references">References</a></li> |
| 83 | </ul> | 83 | </ul> |
| 84 | </li> | 84 | </li> |
| 85 | <li·class="toctree-l1"><a·class="reference·internal"·href="mtm_harmonic_test.html">Multitaper·F-test·for·harmonic·components</a></li> | ||
| 86 | <li·class="toctree-l1"><a·class="reference·internal"·href="multi_taper_spectral_estimation.html">Multitaper·spectral·estimation</a></li> | ||
| 87 | <li·class="toctree-l1"><a·class="reference·internal"·href="filtering_fmri.html">Filtering·and·normalizing·fMRI·data</a></li> | ||
| 88 | <li·class="toctree-l1"><a·class="reference·internal"·href="snr_example.html">Calculation·of·signal-to-noise·and·information</a></li> | 85 | <li·class="toctree-l1"><a·class="reference·internal"·href="snr_example.html">Calculation·of·signal-to-noise·and·information</a></li> |
| 86 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_model_fit.html">Fitting·an·MAR·model:·analyzer·interface</a></li> | ||
| 87 | <li·class="toctree-l1"><a·class="reference·internal"·href="grasshopper.html">Auditory·processing·in·grasshoppers</a></li> | ||
| 89 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_est_3vars.html">Multivariate·auto-regressive·modeling·-·3·variables</a></li> | ||
| 90 | <li·class="toctree-l1"><a·class="reference·internal"·href="resting_state_fmri.html">Coherency·analysis·of·fMRI·data</a></li> | ||
| 91 | <li·class="toctree-l1"><a·class="reference·internal"·href="event_related_fmri.html">Event-related·fMRI</a></li> | ||
| 92 | <li·class="toctree-l1"><a·class="reference·internal"·href="multi_taper_coh.html">Multitaper·coherence·estimation</a></li> | 88 | <li·class="toctree-l1"><a·class="reference·internal"·href="multi_taper_coh.html">Multitaper·coherence·estimation</a></li> |
| 89 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_est_1var.html">Fitting·an·AR·model:·algorithm·module·interface</a></li> | ||
| 90 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_est_3vars.html">Multivariate·auto-regressive·modeling·-·3·variables</a></li> | ||
| 93 | <li·class="toctree-l1"><a·class="reference·internal"·href="mtm_baseband_power.html">Multitaper·method·for·baseband·demodulation</a><ul> | 91 | <li·class="toctree-l1"><a·class="reference·internal"·href="mtm_baseband_power.html">Multitaper·method·for·baseband·demodulation</a><ul> |
| 94 | <li·class="toctree-l2"><a·class="reference·internal"·href="mtm_baseband_power.html#test-1">Test·1</a></li> | 92 | <li·class="toctree-l2"><a·class="reference·internal"·href="mtm_baseband_power.html#test-1">Test·1</a></li> |
| 95 | <li·class="toctree-l2"><a·class="reference·internal"·href="mtm_baseband_power.html#test-2">Test·2</a></li> | 93 | <li·class="toctree-l2"><a·class="reference·internal"·href="mtm_baseband_power.html#test-2">Test·2</a></li> |
| 96 | </ul> | 94 | </ul> |
| 97 | </li> | 95 | </li> |
| 96 | <li·class="toctree-l1"><a·class="reference·internal"·href="resting_state_fmri.html">Coherency·analysis·of·fMRI·data</a></li> | ||
| 97 | <li·class="toctree-l1"><a·class="reference·internal"·href="ar_est_2vars.html">Multivariate·auto-regressive·modeling</a></li> | ||
| 98 | </ul> | 98 | </ul> |
| 99 | </div> | 99 | </div> |
| 100 | </section> | 100 | </section> |
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| 26 | functioning·python·scripts,·which·are·available·as·part·of·the·source | 26 | functioning·python·scripts,·which·are·available·as·part·of·the·source |
| 27 | distribution·in·the·doc/examples·folder. | 27 | distribution·in·the·doc/examples·folder. |
| 28 | If·you·want·to·replicate·a·particular·analysis·or·visualization,·simply·copy | 28 | If·you·want·to·replicate·a·particular·analysis·or·visualization,·simply·copy |
| 29 | the·relevant·â.pyâ·script·from·the·source·distribution,·or·download·the | 29 | the·relevant·â.pyâ·script·from·the·source·distribution,·or·download·the |
| 30 | script·using·the·link·at·the·bottom·of·each·page. | 30 | script·using·the·link·at·the·bottom·of·each·page. |
| 31 | Thanks·to·the·developers·of·PyMVPA·for·designing·the·software·which·enables·us | 31 | Thanks·to·the·developers·of·PyMVPA·for·designing·the·software·which·enables·us |
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| 36 | ····*·Multivariate_auto-regressive_modeling | ||
| 37 | ····*·Fitting_an_MAR_model:_analyzer_interface | ||
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| 40 | ····*·Multitaper_F-test_for_harmonic_components | 33 | ····*·Multitaper_F-test_for_harmonic_components |
| 41 | ····*·Multitaper_spectral_estimation | 34 | ····*·Multitaper_spectral_estimation |
| 35 | ····*·Event-related_fMRI | ||
| 36 | ····*·Seed_correlation/coherence_with_fMRI_data | ||
| 42 | ····*·Filtering_and_normalizing_fMRI_data | 37 | ····*·Filtering_and_normalizing_fMRI_data |
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| 44 | ····*·Multivariate_auto-regressive_modeling_-_3_variables | ||
| 45 | ····*·Coherency_analysis_of_fMRI_data | ||
| 46 | ····*·Event-related_fMRI | ||
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| 44 | ····*·Fitting_an_AR_model:_algorithm_module_interface | ||
| 45 | ····*·Multivariate_auto-regressive_modeling_-_3_variables | ||
| 48 | ····*·Multitaper_method_for_baseband_demodulation | 46 | ····*·Multitaper_method_for_baseband_demodulation |
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