bootstrap2.py [178:215]:
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    matplotlib.rcParams['xtick.top'] = False
    matplotlib.rcParams['xtick.bottom'] = False
    matplotlib.rcParams['ytick.left'] = False
    matplotlib.rcParams['ytick.right'] = False
    matplotlib.rcParams['xtick.labeltop'] = False
    matplotlib.rcParams['xtick.labelbottom'] = False
    matplotlib.rcParams['ytick.labelleft'] = False
    matplotlib.rcParams['ytick.labelright'] = False
    matplotlib.rcParams['axes.spines.top'] = False
    matplotlib.rcParams['axes.spines.bottom'] = False
    matplotlib.rcParams['axes.spines.left'] = False
    matplotlib.rcParams['axes.spines.right'] = False
    # Configure the colormaps.
    kwargs01 = dict(cmap='gray',
                    norm=matplotlib.colors.Normalize(vmin=0, vmax=1))
    kwargs11 = dict(cmap='gray',
                    norm=matplotlib.colors.Normalize(vmin=-1, vmax=1))
    # Separate the suffix (filetype) from the rest of the filename.
    suffix = '.' + fileout.split('.')[-1]
    rest = fileout[:-len(suffix)]
    assert fileout == rest + suffix
    # Plot the original.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Original')
    plt.imshow(np.clip(f_orig, 0, 1), **kwargs01)
    plt.savefig(rest + '_original' + suffix, bbox_inches='tight')
    # Plot the reconstruction from the original mask provided.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Reconstruction')
    plt.imshow(np.clip(reconf, 0, 1), **kwargs01)
    plt.savefig(rest + '_recon' + suffix, bbox_inches='tight')
    # Plot the difference from the original.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Error of Reconstruction')
    plt.imshow(np.clip(reconf - f_orig, -1, 1), **kwargs11)
    plt.savefig(rest + '_error' + suffix, bbox_inches='tight')
    # Plot thrice the average of the bootstrap differences.
    plt.figure(figsize=(5.5, 5.5))
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jackknife2.py [145:182]:
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    matplotlib.rcParams['xtick.top'] = False
    matplotlib.rcParams['xtick.bottom'] = False
    matplotlib.rcParams['ytick.left'] = False
    matplotlib.rcParams['ytick.right'] = False
    matplotlib.rcParams['xtick.labeltop'] = False
    matplotlib.rcParams['xtick.labelbottom'] = False
    matplotlib.rcParams['ytick.labelleft'] = False
    matplotlib.rcParams['ytick.labelright'] = False
    matplotlib.rcParams['axes.spines.top'] = False
    matplotlib.rcParams['axes.spines.bottom'] = False
    matplotlib.rcParams['axes.spines.left'] = False
    matplotlib.rcParams['axes.spines.right'] = False
    # Configure the colormaps.
    kwargs01 = dict(cmap='gray',
                    norm=matplotlib.colors.Normalize(vmin=0, vmax=1))
    kwargs11 = dict(cmap='gray',
                    norm=matplotlib.colors.Normalize(vmin=-1, vmax=1))
    # Separate the suffix (filetype) from the rest of the filename.
    suffix = '.' + fileout.split('.')[-1]
    rest = fileout[:-len(suffix)]
    assert fileout == rest + suffix
    # Plot the original.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Original')
    plt.imshow(np.clip(f_orig, 0, 1), **kwargs01)
    plt.savefig(rest + '_original' + suffix, bbox_inches='tight')
    # Plot the reconstruction from the original mask provided.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Reconstruction')
    plt.imshow(np.clip(reconf, 0, 1), **kwargs01)
    plt.savefig(rest + '_recon' + suffix, bbox_inches='tight')
    # Plot the difference from the original.
    plt.figure(figsize=(5.5, 5.5))
    plt.title('Error of Reconstruction')
    plt.imshow(np.clip(reconf - f_orig, -1, 1), **kwargs11)
    plt.savefig(rest + '_error' + suffix, bbox_inches='tight')
    # Plot twice the sum of the leave-one-out differences.
    plt.figure(figsize=(5.5, 5.5))
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