56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
from __future__ import print_function
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import io
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import IPython.nbformat as nbformat
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import sys
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from formatting import *
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def merge_notebooks(outfile, filenames):
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merged = None
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added_appendix = False
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for fname in filenames:
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with io.open(fname, 'r', encoding='utf-8') as f:
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nb = nbformat.read(f, nbformat.NO_CONVERT)
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remove_formatting(nb)
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if not added_appendix and fname[0:8] == 'Appendix':
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remove_links_add_appendix(nb)
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added_appendix = True
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else:
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remove_links(nb)
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if merged is None:
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merged = nb
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else:
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merged.cells.extend(nb.cells)
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#merged.metadata.name += "_merged"
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outfile.write(nbformat.writes(merged, nbformat.NO_CONVERT))
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if __name__ == '__main__':
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f = open('book.ipynb', 'w', encoding='utf-8')
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'''merge_notebooks(
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['../00_Preface.ipynb',
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'../01_g-h_filter.ipynb',
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'../Appendix_A_Installation.ipynb'])'''
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merge_notebooks(f,
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['../00_Preface.ipynb',
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'../01_g-h_filter.ipynb',
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'../02_Discrete_Bayes.ipynb',
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'../03_Gaussians.ipynb',
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'../04_One_Dimensional_Kalman_Filters.ipynb',
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'../05_Multivariate_Kalman_Filters.ipynb',
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'../06_Kalman_Filter_Math.ipynb',
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'../07_Designing_Kalman_Filters.ipynb',
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'../08_Nonlinear_Filtering.ipynb',
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'../09_Unscented_Kalman_Filter.ipynb',
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'../10_Extended_Kalman_Filters.ipynb',
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'../11_Particle_Filters.ipynb',
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'../12_Smoothing.ipynb',
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'../13_Adaptive_Filtering.ipynb',
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'../Appendix_A_Installation.ipynb',
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'../Appendix_B_Symbols_and_Notations.ipynb',
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'../Appendix_C_Walking_Through_KF_Code.ipynb',
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'../Appendix_D_HInfinity_Filters.ipynb',
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'../Appendix_E_Ensemble_Kalman_Filters.ipynb'])
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