Searched refs:note_line (Results 1 – 4 of 4) sorted by relevance
| /dports/graphics/opencv/opencv-4.5.3/samples/dnn/dnn_model_runner/dnn_conversion/common/ |
| H A D | utils.py | 94 note_line = 'Please, choose the model from the below list:\n'
95 spaces_to_set = ' ' * (len(note_line) - 2)
96 return note_line + ''.join([spaces_to_set, '{} \n'] * len(model_list)).format(*model_list)
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| /dports/finance/fava/fava-1.18/tests/ |
| H A D | test_core_file.py | 120 note_line = ['2016-02-26 note Accounts:Text "Uncle Boons"']
123 assert find_entry_lines(lines, 4) == note_line
124 assert find_entry_lines(lines, 5) == note_line
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| /dports/science/afni/afni-AFNI_21.3.16/src/pkundu/ |
| H A D | meica.py | 667 note_line = "Denoised timeseries (including thermal noise), produced by ME-ICA v2.5" variable
668 sl.append("%s3dNotes -h \'%s (%s)\' TED/%s_medn.nii" % (tedflag,hist_line,note_line,outprefix))
669 note_line = "Denoised ICA coeff. set for ME-ICR seed-based FC analysis, produced by ME-ICA v2.5" variable
670 sl.append("%s3dNotes -h \'%s (%s)\' TED/%s_mefc.nii" % (tedflag,hist_line,note_line,outprefix))
671 note_line = "Full ICA coeff. set for component assessment, produced by ME-ICA v2.5" variable
672 sl.append("%s3dNotes -h \'%s (%s)\' TED/%s_mefc.nii" % (tedflag,hist_line,note_line,outprefix))
673 note_line = "T2* weighted average of ME time series, produced by ME-ICA v2.5" variable
674 sl.append("%s3dNotes -h \'%s (%s)\' TED/%s_tsoc.nii" % (tedflag,hist_line,note_line,outprefix))
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| /dports/textproc/gitlab-elasticsearch-indexer/gitlab-elasticsearch-indexer-ef1440548effec15831eda2d246dacc43233cefb/vendor/github.com/go-enry/go-enry/v2/internal/code-generator/generator/test_files/ |
| H A D | frequencies.gold | 78001 "note_line": -5.411646,
|