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@@ -75,6 +75,18 @@ def algo_comparison(algo1, algo2, algo1_name, algo2_name):
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for col in range(2):
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i = row + 2 * col
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+ age = np.array([algo1["age"][k - 1] for k in algo1["children"]])
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+
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+ if speakers[i] in ["CHI", "FEM"]:
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+ x1, x2, y1, y2 = 400, 4000, 400, 4000
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+
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+ axins = axes[row, col].inset_axes(
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+ [0.57, 0.06, 0.4, 0.4],
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+ xlim=(x1, x2), ylim=(y1, y2), xticklabels=[], yticklabels=[])
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+ axins.set_xlim(x1, x2)
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+ axins.set_ylim(y1, y2)
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+ axes[row,col].indicate_inset_zoom(axins, edgecolor="black")
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+
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for corpus in set(algo1["corpus"]):
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mask = np.array([algo1["corpus"][k - 1] == corpus for k in algo1["children"]])
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vocs_algo1 = algo1["vocs"][mask,i]
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@@ -85,8 +97,18 @@ def algo_comparison(algo1, algo2, algo1_name, algo2_name):
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vocs_algo2,
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s=0.5,
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color=cb_colors[corpus - 1],
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+ alpha=0.9*np.clip(age[mask], 0, 36)/36
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)
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+ if speakers[i] in ["CHI", "FEM"]:
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+ axins.scatter(
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+ vocs_algo1,
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+ vocs_algo2,
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+ s=0.5,
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+ color=cb_colors[corpus - 1],
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+ alpha=0.9*np.clip(age[mask], 0, 36)/36
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+ )
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+
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if row == 1 and col == 0:
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axes[row, col].set_xlabel(algo1_name)
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axes[row, col].set_ylabel(algo2_name)
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@@ -102,5 +124,6 @@ def algo_comparison(algo1, algo2, algo1_name, algo2_name):
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plt.subplots_adjust(wspace=0, hspace=0)
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fig.savefig(f"output/algo_comparison_{algo1_name}_{algo2_name}.eps", bbox_inches="tight")
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+ fig.savefig(f"output/algo_comparison_{algo1_name}_{algo2_name}.pdf", bbox_inches="tight")
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algo_comparison(data["lena"], data["vtc"], "LENA", "VTC")
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