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import textwrap
import matplotlib.font_manager as fm
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd
from server_constant import *
def str2bool(v):
if isinstance(v, bool):
return v
if v.lower() in ("yes", "true", "t", "y", "1"):
return True
elif v.lower() in ("no", "false", "f", "n", "0"):
return False
else:
raise argparse.ArgumentTypeError("Error")
def plot(args):
out_ptx_sr = args.out_ptx_sr
length = args.length
use_temp_model = args.use_temp_model
out_af2_sr = args.out_af2_sr
if out_af2_sr > 40:
out_af2_sr = 40
if out_af2_sr < 5:
out_af2_sr = 5
if out_ptx_sr > 40:
out_ptx_sr = 40
if out_ptx_sr < 5:
out_ptx_sr = 5
length = args.length
hard_afsr_cutoff = args.hard_afsr_cutoff
fig = plt.figure(figsize=(14, 2))
wrapped = "\n".join(textwrap.wrap(text_preview, width=170)) # 每行20字符
prop = fm.FontProperties(
fname=os.path.join(os.path.dirname(font_path), "TimesNewRoman.ttf")
)
plt.figtext(
0.5,
0.750,
wrapped,
wrap=True,
ha="center",
multialignment="left",
fontproperties=prop,
fontsize=13,
color="navy",
)
prop = fm.FontProperties(fname=font_path)
easy = "easy"
hard = "hard"
plt.figtext(
0.472,
0.340,
easy,
wrap=True,
ha="center",
multialignment="left",
fontproperties=prop,
fontsize=11,
color="#086BFFE8",
)
plt.figtext(
0.081,
0.340,
hard,
wrap=True,
ha="center",
multialignment="left",
fontproperties=prop,
fontsize=11,
color="#086BFFE8",
)
plt.figtext(
0.522,
0.340,
hard,
wrap=True,
ha="center",
multialignment="left",
fontproperties=prop,
fontsize=11,
color="#086BFFE8",
)
plt.figtext(
0.912,
0.340,
easy,
wrap=True,
ha="center",
multialignment="left",
fontproperties=prop,
fontsize=11,
color="#086BFFE8",
)
AF2_SR = get_information(length)["AF2_SR"]
AF2_SR = np.array(AF2_SR)
AF2_SR[AF2_SR > 40] = 40
AF2_SR[AF2_SR < 5] = 5
length_count = get_information(length)["count"]
ax1 = fig.add_axes([0.075, 0.2, 0.40, 0.3])
ax1.set_title(
f"AF2-IG-easy Passing Rate ({length_count})",
fontproperties=prop,
fontsize=10,
)
ax1.hlines(y=0, xmin=3, xmax=42, color="black", linewidth=1.5, alpha=0.7)
placed_positions = []
y_add = 0.01
for x, label in zip(AF2_SR, labels):
ax1.plot(x, 0, "o", color="dimgray", markersize=6, alpha=0.7)
if label:
for px, py in placed_positions:
if abs(x - px) < 0.5:
x = x + 0.7
placed_positions.append((x, y_add))
ax1.text(
x,
y_add,
label,
fontsize=5,
rotation=70,
ha="center",
va="bottom",
fontproperties=prop,
)
description = "Your job is here."
if out_af2_sr > hard_afsr_cutoff[-1]:
color_sr = difficulty_to_color["easy"]
elif out_af2_sr > hard_afsr_cutoff[0] and out_af2_sr <= hard_afsr_cutoff[-1]:
color_sr = difficulty_to_color["hard"]
else:
color_sr = difficulty_to_color["very_hard"]
ax1.plot(out_af2_sr, 0, "o", color=color_sr, markersize=6)
ax1.annotate(
description,
xy=(out_af2_sr, 0),
xytext=(out_af2_sr, -0.04),
ha="center",
color=color_sr,
arrowprops=dict(
arrowstyle="->",
color=color_sr,
connectionstyle="angle,angleA=90,angleB=180,rad=0",
),
fontproperties=prop,
fontsize=6,
)
ax1.spines["top"].set_visible(False)
ax1.spines["right"].set_visible(False)
ax1.spines["left"].set_visible(False)
x_tick_labels = ax1.get_xticklabels()
for label in x_tick_labels:
label.set_fontproperties(prop)
label.set_fontsize(8)
ax1.set_yticks([])
ax1.set_xticks([5, 10, 20, 30, 40])
ax1.set_xticklabels([r"$\leq 5$%", "10%", "20%", "30%", r"$\geq 40$%"])
ax2 = fig.add_axes([0.5175, 0.2, 0.40, 0.3])
if_template_model = " (Template Model) " if use_temp_model else " "
ax2.set_title(
f"Protenix-basic Passing Rate {if_template_model}({length_count})",
fontproperties=prop,
fontsize=10,
)
ax2.hlines(y=0, xmin=3, xmax=42.0, color="black", linewidth=1.5, alpha=0.7)
ptx_SR = (
get_information(length)["ptx_temp_sr"]
if use_temp_model
else get_information(length)["ptx_sr"]
)
ptx_SR = np.array(ptx_SR)
ptx_SR[ptx_SR < 5] = 5
ptx_SR[ptx_SR > 40] = 40
placed_positions = []
y_add = 0.01
for x, label in zip(ptx_SR, labels):
ax2.plot(x, 0, "o", color="dimgray", markersize=6, alpha=0.7)
if label:
for px, py in placed_positions:
if abs(x - px) < 0.5:
x = px + 0.7
placed_positions.append((x, y_add))
ax2.text(
x,
y_add,
label,
fontsize=5,
rotation=70,
ha="center",
va="bottom",
fontproperties=prop,
)
ax2.plot(out_ptx_sr, 0, "o", color=color_sr, markersize=6)
ax2.annotate(
description,
xy=(out_ptx_sr, 0),
xytext=(out_ptx_sr, -0.04),
ha="center",
color=color_sr,
arrowprops=dict(
arrowstyle="->",
color=color_sr,
connectionstyle="angle,angleA=90,angleB=180,rad=0",
),
fontproperties=prop,
fontsize=6,
)
ax2.spines["top"].set_visible(False)
ax2.spines["right"].set_visible(False)
ax2.spines["left"].set_visible(False)
x_tick_labels = ax2.get_xticklabels()
for label in x_tick_labels:
label.set_fontproperties(prop)
label.set_fontsize(8)
ax2.set_yticks([])
ax2.set_xticks(
[
5,
10,
20,
30,
40,
]
)
ax2.set_xticklabels([r"$\leq 5$%", "10%", "20%", "30%", r"$\geq 40$%"])
# plt.savefig(args.save_path, dpi=800, bbox_inches="tight")
plt.savefig(args.save_path, dpi=400)
print(f"Save difficulty fig to {args.save_path}!")
if __name__ == "__main__":
parser = argparse.ArgumentParser()
parser.add_argument("--out_af2_sr", type=float, default=20, help="af2 sr")
parser.add_argument("--out_ptx_sr", type=float, default=22, help="ptx iptm")
parser.add_argument(
"--use_temp_model",
type=str2bool,
default=False,
help="use large model or template model",
)
parser.add_argument("--length", type=int, default=100, help="binder length")
parser.add_argument(
"--hard_AF2_ipae_cutoff",
type=float,
default=[10, 15],
help="hard case ipae cutoff (<10, 10-15, >15)",
)
parser.add_argument(
"--hard_ptx_iptm_template_cutoff",
type=float,
default=[0.6, 0.3],
help="iptm cutoff (0.6-1.0, 0.3-0.6, <0.3)",
)
parser.add_argument(
"--hard_afsr_cutoff",
type=float,
default=[15, 5],
help="hard case sr cutoff (0-5%, 5-15%, >15%)",
)
parser.add_argument("--save_path", type=str, default="./server_extended_mode.png")
args = parser.parse_args()
plot(args)
|