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Functions39 in github.com/ChenLiu-1996/figures4papers

⨍ Functions 39◇ Types & classes 1
↓ 12 callersFunctiondraw_geodesic
(ax, a2d, b2d, linestyle='-', draw_arrow=True, alpha=0.8, num_points_grid=300, color='blue',
figure_Dispersion/plot_illustration.py:65
↓ 3 callersFunction_gauss
(x, mu, sig)
figure_VIGIL/plot_concept.py:8
↓ 3 callersFunctionlimits_for_benchmark
(bench)
figure_VIGIL/plot_comparison_radar.py:66
↓ 3 callersFunctionplot_ball_with_points
(ax, pts, facecolor)
figure_Dispersion/plot_idea.py:15
↓ 3 callersFunctionsample_points_in_ball
(num_points, theta_range=2*np.pi)
figure_Dispersion/plot_idea.py:8
↓ 2 callersFunction_kde_prepare
(P, grid=280, pad_x=1.8, pad_y=1.3)
figure_VIGIL/plot_concept.py:34
↓ 2 callersFunction_mixture_t
(n, centers, scales, weights, rng)
figure_VIGIL/plot_concept.py:26
↓ 2 callersFunction_sample_tube
(center_curve, t_samples, rng, sigma_u=0.08, sigma_v=0.18)
figure_VIGIL/plot_concept.py:13
↓ 2 callersFunction_to3d_xy
(xy)
figure_Dispersion/plot_illustration.py:42
↓ 2 callersFunctioncurve_mm
(t)
figure_VIGIL/plot_concept.py:102
↓ 2 callersFunctioncurve_text
(t)
figure_VIGIL/plot_concept.py:97
↓ 2 callersFunctionmark_events
(ax, time_arr, y_curve, events, dy=0.1)
figure_ophthal_review/plot_trend.py:52
↓ 2 callersFunctionmonth_year_list
(start_year, start_month, n_months)
figure_ophthal_review/plot_trend.py:44
↓ 1 callersFunction_slerp_arc
(p, q, n=200)
figure_Dispersion/plot_illustration.py:50
↓ 1 callersFunction_task_suffix
Benchmark = part after the first newline (e.g. 'Qwen2.5-VL-7B\\nMathVista' -> 'MathVista').
figure_VIGIL/plot_comparison_radar.py:34
↓ 1 callersFunctioncompute_diffusion_matrix
(x, z, t, sigma=1.0)
figure_Cflows/diffusion_swiss_roll.py:18
↓ 1 callersFunctiondecode_ablation
(data_dict)
figure_ImmunoStruct/plot_bars.py:7
↓ 1 callersFunctionfunction
(x, y)
figure_RNAGenScape/plot_manifold.py:6
↓ 1 callersFunctionfunction
(x, y)
figure_RNAGenScape/plot_hole_manifold.py:6
↓ 1 callersFunctiongenerate_swiss_roll_2d
(n_samples=80, noise=0.1)
figure_Cflows/diffusion_swiss_roll.py:6
↓ 1 callersFunctionis_dark
(color_in_hex, threshold=128)
figure_CellSpliceNet/plot_ablation.py:19
↓ 1 callersFunctionnice_axes
(ax, L)
figure_Dispersion/plot_illustration.py:21
↓ 1 callersFunctionpairwise_sqdist
(X: np.ndarray)
figure_Dispersion/plot_illustration.py:12
↓ 1 callersFunctionplot_angular_spread
(ax)
figure_Dispersion/plot_illustration.py:328
↓ 1 callersFunctionplot_concept
()
figure_VIGIL/plot_concept.py:212
↓ 1 callersFunctionplot_curve
(fig_name: str)
figure_ophthal_review/plot_trend.py:74
↓ 1 callersFunctionplot_curves
(data_posttraining)
figure_VIGIL/plot_posttraining.py:30
↓ 1 callersFunctionplot_curves
Left panel: ablation on hyperparameter beta (x = beta values, y = score, 3 curves for 3 methods). Right panel: blank.
figure_VIGIL/plot_ablation.py:43
↓ 1 callersFunctionplot_decorrelation
(ax)
figure_Dispersion/plot_illustration.py:110
↓ 1 callersFunctionplot_distribution
(ax)
figure_VIGIL/plot_concept.py:44
↓ 1 callersFunctionplot_heatmap
(fig_name: str)
figure_ophthal_review/plot_composition.py:33
↓ 1 callersFunctionplot_l2_repel
(ax)
figure_Dispersion/plot_illustration.py:259
↓ 1 callersFunctionplot_manifold
(ax)
figure_VIGIL/plot_concept.py:88
↓ 1 callersFunctionplot_orthogonalization
(ax)
figure_Dispersion/plot_illustration.py:204
↓ 1 callersFunctionplot_radar
Single radar chart. Each axis = one subtask; one curve per method. Each benchmark (task suffix after \\n) has its own radii list: values are
figure_VIGIL/plot_comparison_radar.py:39
↓ 1 callersFunctionsafe_scale
(V, s=0.6, eps=EPSILON)
figure_Dispersion/plot_illustration.py:17
Method__init__
(self, xs, ys, zs, *args, **kwargs)
figure_Dispersion/plot_illustration.py:100
Methoddo_3d_projection
(self, renderer=None)
figure_Dispersion/plot_illustration.py:104
Functionis_dark
(color_in_hex, threshold=128)
figure_CellSpliceNet/plot_comparison.py:86