recipes/plotting/v1/plot_recipe_budget.py

import matplotlib; matplotlib.use("Agg")
import matplotlib.pyplot as plt
from matplotlib.lines import Line2D
import csv, glob, os
HERE=os.path.dirname(os.path.abspath(__file__))
E=os.environ.get("MOS_EVAL_DIR",os.path.normpath(os.path.join(HERE,"..","eval_csv")))
# ---- 颜色宪法(固定,勿改):gen灰 merge橙 route蓝 A绿 B紫 C金 D青 ----
CG="#8a8f98"; CM="#E8590C"; CR="#1971C2"; CA="#2F9E44"; CB="#9C36B5"; CC="#E8B117"; CD="#0B7285"
CRW="#4DABF7"; CAW="#D6336C"; CSG="#C92A2A"; CSD="#5F3DC4"
def loadal(p):
    d={}
    for r in csv.reader(open(p)):
        if not r or r[0].startswith("ckpt"): continue
        try: d[int(r[1])]=float(r[3])
        except: pass
    return d
v2=loadal(f"{E}/mv2c89/al_curve.csv"); v3={**loadal(f"{E}/mv3x89/al_curve.csv"),**loadal(f"{E}/merge89/al_curve.csv")}
rc=loadal(f"{E}/rc89/al_curve.csv"); rw={**loadal(f"{E}/rw89x/al_curve.csv"),**loadal(f"{E}/route89/al_curve.csv")}
gen={}
for f in glob.glob(f"{E}/gendense_l*/*.csv"):
    for r in csv.reader(open(f)):
        if len(r)>=4 and r[2]=="code":
            try: gen[int(r[1])]=float(r[3])
            except: pass
S=64/1e6; PRE=3.2; V2E=49936; RB=31210
gx=[k*S for k in sorted(gen)]; gy=[gen[k] for k in sorted(gen)]
mx=[PRE+k*S for k in sorted(v2)]+[PRE+(V2E+k)*S for k in sorted(v3)]; my=[v2[k] for k in sorted(v2)]+[v3[k] for k in sorted(v3)]
rck=[k for k in sorted(rc) if k<=30000]
rx=[PRE+k*S for k in rck]+[PRE+(RB+k)*S for k in sorted(rw)]; ry=[rc[k] for k in rck]+[rw[k] for k in sorted(rw)]
rx+=[7.19,7.59,7.99]; ry+=[3.487,3.517,3.537]   # WR-2
rx+=[8.39,8.79,9.19]; ry+=[3.518,3.510,3.544]   # WR-3
rx+=[9.59,9.99,10.39]; ry+=[3.518,3.553,3.568]  # WR-4 峰 3.568
rx+=[10.79,11.19,11.59]; ry+=[3.562,3.549,3.542]  # WR-5 衰减,确认到顶
A=[3.312,3.473,3.549,3.610,3.645,3.616,3.655,3.640]; ax_=[0.8*(i+1) for i in range(len(A))]
B=[3.477,3.586,3.626,3.657,3.709,3.719,3.716,3.710]; bx_=[PRE+0.8*(i+1) for i in range(len(B))]
C=[3.185,3.315,3.395,3.420,3.433,3.440,3.461,3.473,3.466,3.471,3.468]; cx_=[0.8*(i+1) for i in range(11)]
D=[3.471,3.536,3.553,3.606,3.629,3.611,3.648,3.626]; dx_=[PRE+0.8*(i+1) for i in range(8)]
RW=[3.466,3.463,3.473,3.541,3.504,3.549,3.557,3.563,3.550,3.563,3.564,3.562,3.556,3.579,3.589,3.574,3.589]; rwx=[3.2+0.4*(i+1) for i in range(17)]
AW=[3.411,3.391,3.438,3.457,3.446,3.472,3.471,3.462]; awx=[3.2+0.4*(i+1) for i in range(8)]
SG=[3.411,3.490,3.519,3.587,3.563,3.607,3.618,3.581]; sgx=[3.2+0.4*(i+1) for i in range(8)]
SD=[3.186,3.295,3.372,3.421,3.448,3.514,3.488,3.487]; sdx=[0.4*(i+1) for i in range(8)]
# AW/SD are retained for reproducibility but omitted from this compact recipe
# overview; the most relevant G-init. complete code specialist is shown directly,
# while the remaining controls stay in the paper table and supplement.

# 每条曲线:(x, y, 颜色, marker, 线型, 线宽)；颜色仅作辅助，灰度下由 marker/线型区分
E2E=2.6; CTX=1.7  # 端到端加粗,其余作背景
CURVES=[
  (gx,gy,CG,"s",":",CTX),
  (mx,my,CM,"P","-.",CTX),
  (rx,ry,CR,"o","--",CTX),
  (rwx,RW,CRW,"X",(0,(6,2)),CTX),
  (cx_,C,CC,"D",(0,(3,1,1,1)),E2E),
  (dx_,D,CD,"v",(0,(6,2)),E2E),
  (sgx,SG,CSG,"^",(0,(1,1)),CTX),
  (ax_,A,CA,"o","-",E2E),
  (bx_,B,CB,"s","-",E2E),
]

fig,ax=plt.subplots(figsize=(6.8,3.8))
for sp in ["top","right"]: ax.spines[sp].set_visible(False)
for sp in ["left","bottom"]:
    ax.spines[sp].set_color("#666")
    ax.spines[sp].set_linewidth(0.6)
ax.grid(axis="y",alpha=0.55,lw=0.5,color="#c9ced6")
ax.tick_params(colors="#333",labelsize=9.2,width=0.6,length=3)

# generalist 预训练竖线 + 从 generalist 热启的三条连线(虚线)
ax.axvline(PRE,ls=(0,(2,3)),lw=1.1,color="#c2c7cf")
ax.text(PRE-0.05,3.785,"3.2M pretraining",color="#333",fontsize=9.0,ha="right")
G0=(3.2,3.4075)
for x1,y1,cc in [(bx_[0],B[0],CB),(dx_[0],D[0],CD),(rwx[0],RW[0],CRW)]:
    ax.plot([G0[0],x1],[G0[1],y1],ls=(0,(2,2)),lw=1.1,color=cc,alpha=0.45,zorder=2)
ax.plot([G0[0]],[G0[1]],"o",ms=5,color="#8a8f98",mfc="white",mew=1.2,zorder=3)

for xs,ys,c,mk,ls,lw in CURVES:
    ax.plot(xs,ys,color=c,ls=ls,marker=mk,lw=lw,ms=5.0 if lw==E2E else 4.0,
            mfc="white",mec="#222",mew=0.8,alpha=1.0,zorder=5 if lw==E2E else 3)
    pk=max(ys); i=ys.index(pk)
    ax.plot([xs[i]],[pk],marker="*",ls="none",ms=7.5,mfc=c,mec="#222",mew=0.6,zorder=6)

ax.set_xlim(0,11.9); ax.set_ylim(3.10,3.80)
ax.set_xlabel("Cumulative training samples (millions)",fontsize=10.0)
ax.set_ylabel("Code acceptance length",fontsize=10.0)

# ---- 右下角:结果排行图例表(按峰值降序) ----
# (颜色, marker, 线型, 线宽, 名称, 峰值字符串, 是否冠军)
ROWS=[
 (CB,"s","-",E2E,"G-init. MoS, shared updated","3.719",True),
 (CA,"o","-",E2E,"D0-init. MoS, shared updated","3.655",False),
 (CD,"v",(0,(6,2)),E2E,"G-init. MoS, shared frozen","3.648",False),
 (CSG,"^",(0,(1,1)),CTX,"G-init. complete code specialist","3.618",False),
 (CRW,"X",(0,(6,2)),CTX,"Frozen generalist, G-init. MLPs","3.589",False),
 (CR,"o","--",CTX,"Frozen generalist, D0-init. MLPs","3.568",False),
 (CC,"D",(0,(3,1,1,1)),E2E,"D0-init. MoS, shared frozen","3.473",False),
 (CM,"P","-.",CTX,"RegMean-style attention merge","3.470",False),
 (CG,"s",":",CTX,"Generalist","3.435",False),
]
LX0,LX1=0.455,0.995; LTOP,LBOT=0.455,0.025
n=len(ROWS); hh=0.060                      # header 高
rh=(LTOP-LBOT-hh)/n
# 背景框
ax.add_patch(plt.Rectangle((LX0,LBOT),LX1-LX0,LTOP-LBOT,transform=ax.transAxes,
            facecolor="#fbfcfd",edgecolor="#dfe3e8",lw=1.0,zorder=8,clip_on=False,
            joinstyle="round"))
# 表头
hy=LTOP-hh*0.58
ax.text(LX0+0.090,hy,"Recipe",transform=ax.transAxes,
        fontsize=9.0,color="#222",fontweight="bold",va="center",zorder=9)
ax.text(LX1-0.018,hy,"Peak AL",transform=ax.transAxes,fontsize=9.0,color="#222",
        fontweight="bold",va="center",ha="right",zorder=9)
ax.plot([LX0+0.015,LX1-0.015],[LTOP-hh,LTOP-hh],transform=ax.transAxes,
        color="#dfe3e8",lw=1.0,zorder=9,clip_on=False)
# 行
for j,(c,mk,ls,lw,name,pk,champ) in enumerate(ROWS):
    yy=LTOP-hh-rh*(j+0.5)
    if champ:
        ax.add_patch(plt.Rectangle((LX0+0.006,yy-rh*0.46),LX1-LX0-0.012,rh*0.92,
            transform=ax.transAxes,facecolor="#eceff3",edgecolor="none",zorder=8.5,clip_on=False))
    # 色样(短线+marker)
    ax.plot([LX0+0.022,LX0+0.068],[yy,yy],color=c,ls=ls,marker=mk,lw=lw,ms=5.0,
            mfc="white",mec="#222",mew=0.8,transform=ax.transAxes,zorder=9,clip_on=False)
    ax.text(LX0+0.090,yy,name,transform=ax.transAxes,fontsize=9.0,color="#222",
            va="center",zorder=9,fontweight="bold" if champ else "normal")
    ax.text(LX1-0.018,yy,pk,transform=ax.transAxes,fontsize=9.0,color="#222",
            fontweight="bold",va="center",ha="right",zorder=9)

OUT=os.environ.get("MOS_RECIPE_BUDGET_OUT",os.path.normpath(os.path.join(HERE,"..","figs","recipe_budget.png")))
plt.tight_layout(pad=0.3); plt.savefig(OUT,dpi=330,bbox_inches="tight")
print("saved")