1127 update to latest

This commit is contained in:
FelixChan
2025-11-27 15:44:17 +08:00
parent e16c84aab2
commit a34d39430e
153 changed files with 25705 additions and 53 deletions

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# ------------------------------ Visualization (NEW) ------------------------------
# Diffusion-style consecutive output: only show the CURRENT output per frame.
# ------------------ Visualization (sanitized, masks stripped) ------------------
from PIL import Image, ImageDraw, ImageFont
import re
import unicodedata
from typing import Optional, List, Tuple, Annotated
def render_consecutive_trace_gif(
trace: dict,
tokenizer,
out_path: str = "decode_trace.gif",
font_size: int = 30,
line_spacing: int = 12,
frame_ms: int = 250,
final_ms: int = 5000, # final clean frame duration (ms)
max_width: int = 1400,
max_height: int = 3000,
margin: int = 32,
title_color=(80, 80, 80),
text_color=(0, 0, 0), # base black
mask_color=(150, 150, 150),
sub_nonmask_color=(200, 0, 0), # persistent red
ins_color=(0, 0, 200), # persistent blue
del_strike_color=(120, 120, 120),
events_color=(30, 30, 30),
box_color=(120, 120, 120),
bg_color=(255, 255, 255),
):
"""
Persistent coloring keyed by token *instance* (not token id):
- Inserted tokens -> BLUE across frames (until deleted/substituted again).
- Substitution nonmask→nonmask -> RED across frames (until deleted/substituted again).
- Substitution mask→nonmask -> stays BLACK (no extra color).
Adds a final clean frame (5s) with no events box.
"""
from PIL import Image, ImageDraw, ImageFont
import unicodedata
# ---------- font ----------
try:
font = ImageFont.truetype(
"assets/JetBrainsMono-VariableFont_wght.ttf", font_size
)
except Exception:
print(f"fail to load target font")
font = ImageFont.load_default()
# ---------- helpers ----------
def _sanitize_token(s: str) -> str:
vis_mask_token = "[m]"
s = unicodedata.normalize("NFKC", s)
s = s.replace("Ċ", "\n").replace("", " ").replace("Ġ", " ")
s = s.replace("\t", " ")
s = s.replace("\u00a0", " ").replace("\u2007", " ").replace("\u202f", " ")
# replace mask variants
if "mdm_mask" in s.lower():
s = re.sub(r"<[\|]?\s*mdm_mask\s*[\|]?>", "[m]", s, flags=re.IGNORECASE)
s = s.replace("mdm_mask", "[m]")
if "mask" in s.lower():
s = re.sub(r"<[\|]?\s*mask\s*[\|]?>", "[m]", s, flags=re.IGNORECASE)
s = s.replace("mask", "[m]")
# replace <|...|> format tokens with bracketed form
s = re.sub(r"<\|\s*(.*?)\s*\|>", r"[\1]", s)
return s
def _tok_str(tok_id: int) -> str:
try:
s = tokenizer.decode([int(tok_id)], skip_special_tokens=False)
s = s if s.strip() else f"<{int(tok_id)}>"
except Exception:
s = f"<{int(tok_id)}>"
return s.replace("\n", "\\n")
TOKEN_RE = re.compile(r"\s+|\S+")
def _wrap_text(draw: ImageDraw.ImageDraw, text: str, width_px: int) -> List[str]:
if text == "":
return [""]
lines: List[str] = []
for para in text.split("\n"):
tokens = TOKEN_RE.findall(para)
cur = ""
for tok in tokens:
candidate = cur + tok
if draw.textlength(candidate, font=font) <= width_px:
cur = candidate
else:
if cur:
lines.append(cur)
cur = tok
while (
draw.textlength(cur, font=font) > width_px and len(cur) > 0
):
lo, hi, fit = 1, len(cur), 1
while lo <= hi:
mid = (lo + hi) // 2
if draw.textlength(cur[:mid], font=font) <= width_px:
fit, lo = mid, mid + 1
else:
hi = mid - 1
lines.append(cur[:fit])
cur = cur[fit:]
else:
t = tok
while draw.textlength(t, font=font) > width_px and len(t) > 0:
lo, hi, fit = 1, len(t), 1
while lo <= hi:
mid = (lo + hi) // 2
if draw.textlength(t[:mid], font=font) <= width_px:
fit, lo = mid, mid + 1
else:
hi = mid - 1
lines.append(t[:fit])
t = t[fit:]
cur = t
lines.append(cur)
return lines or [""]
tmp_img = Image.new("RGB", (10, 10), bg_color)
tmp_draw = ImageDraw.Draw(tmp_img)
text_width_budget = max_width - 2 * margin
# mask detection
MASK_IDS = set()
if getattr(tokenizer, "mask_token_id", None) is not None:
MASK_IDS.add(int(tokenizer.mask_token_id))
MASK_STRINGS = set()
mt = getattr(tokenizer, "mask_token", None)
if mt is not None:
MASK_STRINGS.add(str(mt))
MASK_STRINGS.add("<mdm_mask>")
def _is_mask_token(tok_id: int, tok_str_exact: str) -> bool:
return (int(tok_id) in MASK_IDS) or (tok_str_exact in MASK_STRINGS)
def _wrap_tokens_with_index(tokens, deleted_flags):
lines, cur, cur_w = [], [], 0
for i, tok in enumerate(tokens):
t = _sanitize_token(tok)
parts = t.split("\n")
for j, seg in enumerate(parts):
seg_rest = seg
while seg_rest:
w = tmp_draw.textlength(seg_rest, font=font)
if cur_w + w <= text_width_budget or not cur:
cur.append((seg_rest, i, deleted_flags[i]))
cur_w += w
seg_rest = ""
else:
lines.append(cur)
cur, cur_w = [], 0
if j != len(parts) - 1:
lines.append(cur)
cur, cur_w = [], 0
if cur:
lines.append(cur)
return lines
def _draw_dashed_rectangle(
draw, xy, dash=8, gap=6, width=2, outline=(120, 120, 120)
):
x0, y0, x1, y1 = xy
x = x0
while x < x1:
x2 = min(x + dash, x1)
draw.line([(x, y0), (x2, y0)], fill=outline, width=width)
draw.line([(x, y1), (x2, y1)], fill=outline, width=width)
x += dash + gap
y = y0
while y < y1:
y2 = min(y + dash, y1)
draw.line([(x0, y), (x0, y2)], fill=outline, width=width)
draw.line([(x1, y), (x1, y2)], fill=outline, width=width)
y += dash + gap
def _ops_lines_for_step(st: dict):
if st is None:
return ["(no events)"]
lines = []
x_before = st["x_before_ids"]
choose_del = st["choose_del"]
choose_sub = st["choose_sub"]
sub_samples = st["sub_samples"]
ins_samples = st["ins_samples"]
T = len(x_before)
for i in range(T):
if choose_del[i]:
lines.append(f"DEL@{i}:{_tok_str(int(x_before[i]))}")
elif choose_sub[i]:
lines.append(
f"SUB@{i}:{_tok_str(int(x_before[i]))}->{_tok_str(int(sub_samples[i]))}"
)
if ins_samples[i] is not None:
lines.append(f"INS@{i}->{i+1}:{_tok_str(int(ins_samples[i]))}")
if not lines:
lines.append("(no events)")
return lines
# ---- Instance-id machinery ----
next_instance_id = 0
def _new_inst():
nonlocal next_instance_id
val = next_instance_id
next_instance_id += 1
return val
# Current sequence at the *start* (ids + instance_ids)
curr_ids = list(trace["init"]["x_ids"])
curr_inst = [_new_inst() for _ in curr_ids]
# Persistent color by instance_id: {"blue", "red"}
color_by_inst = {}
# ---------- PASS 1: measure required heights per frame ----------
measurement_payload = []
for step_idx, st in enumerate([None] + trace["steps"]):
# build augmented view
if st is None:
aug_ids = list(curr_ids)
deleted_flags = [False] * len(aug_ids)
else:
x_before = st["x_before_ids"]
choose_del = st["choose_del"]
after_ids = st["x_after_ids"]
deleted_positions = [i for i, d in enumerate(choose_del) if d]
aug_ids = list(after_ids)
deleted_flags = [False] * len(after_ids)
for i in sorted(deleted_positions, reverse=True):
aug_ids.insert(i, x_before[i])
deleted_flags.insert(i, True)
tokens = tokenizer.convert_ids_to_tokens(aug_ids)
wrapped_lines = _wrap_tokens_with_index(tokens, deleted_flags)
# estimate ops lines for this step
if st:
ops_text = "" + "".join(_ops_lines_for_step(st))
else:
ops_text = "(no events)"
ops_lines = _wrap_text(tmp_draw, ops_text, text_width_budget)
# compute height needed
body_h = len(wrapped_lines) * (font_size + line_spacing)
ops_h = len(ops_lines) * (font_size + line_spacing) + font_size # + 20
required_h = margin + (font_size + line_spacing) + body_h + 20
measurement_payload.append(
{
"step_idx": step_idx,
"st": st,
"aug_ids": aug_ids,
"tokens": tokens,
"deleted_flags": deleted_flags,
"wrapped_lines": wrapped_lines,
"ops_lines": ops_lines,
"required_h": required_h,
}
)
# Measure clean final frame (no events)
final_text_ids = (
trace["steps"][-1]["x_after_ids"] if trace["steps"] else trace["init"]["x_ids"]
)
final_tokens = tokenizer.convert_ids_to_tokens(final_text_ids)
wrapped_clean = _wrap_tokens_with_index(final_tokens, [False] * len(final_tokens))
clean_body_h = len(wrapped_clean) * (font_size + line_spacing)
clean_required_h = margin + (font_size + line_spacing) + clean_body_h
# Pick a single uniform canvas height
max_required_h = max(
[p["required_h"] for p in measurement_payload] + [clean_required_h]
) # + 20
H = min(max_required_h, max_height)
W = max_width
# For each frame we need an augmented view (with deleted placeholders) to draw
frames = []
# Iterate steps; for step_idx==0 we still draw "initial state"
steps_with_initial = [None] + trace["steps"]
for step_idx, st in enumerate(steps_with_initial):
if st is None:
# initial frame: augmented is just current tokens
aug_ids = list(curr_ids)
aug_inst = list(curr_inst)
aug_deleted = [False] * len(aug_ids)
ops_lines = ["(no events)"]
title = "initial state"
else:
title = f"t = {st['t']:.3f}"
x_before = list(st["x_before_ids"])
choose_del = list(st["choose_del"])
choose_sub = list(st["choose_sub"])
sub_samples = list(st["sub_samples"])
ins_samples = list(st["ins_samples"])
assert (
len(x_before) == len(curr_ids) == len(curr_inst)
), "trace 'x_before' must match current sequence."
# Build augmented (drawn) and next (state-after) in one pass
aug_ids, aug_inst, aug_deleted = [], [], []
next_ids, next_inst = [], []
for i in range(len(x_before)):
before_id = int(curr_ids[i])
before_inst = curr_inst[i]
if choose_del[i]:
# show deleted placeholder (strike-through)
aug_ids.append(before_id)
aug_inst.append(None)
aug_deleted.append(True)
# remove from next; also clear any persistent color
color_by_inst.pop(before_inst, None)
else:
if choose_sub[i]:
after_id = int(sub_samples[i])
# in augmented we show the *after* token at same instance
aug_ids.append(after_id)
aug_inst.append(before_inst)
aug_deleted.append(False)
next_ids.append(after_id)
next_inst.append(before_inst)
# update persistence by source type
if int(before_id) in MASK_IDS:
# mask → nonmask: no extra color (ensure cleared)
color_by_inst.pop(before_inst, None)
else:
# nonmask → nonmask: mark RED
color_by_inst[before_inst] = "red"
else:
# keep
aug_ids.append(before_id)
aug_inst.append(before_inst)
aug_deleted.append(False)
next_ids.append(before_id)
next_inst.append(before_inst)
# insertion AFTER position i
if ins_samples[i] is not None:
ins_id = int(ins_samples[i])
ins_inst = _new_inst()
aug_ids.append(ins_id)
aug_inst.append(ins_inst)
aug_deleted.append(False)
next_ids.append(ins_id)
next_inst.append(ins_inst)
# mark persistent BLUE for this *instance only*
color_by_inst[ins_inst] = "blue"
# commit next state
curr_ids, curr_inst = next_ids, next_inst
ops_text = "" + "".join(_ops_lines_for_step(st))
ops_lines = _wrap_text(tmp_draw, ops_text, text_width_budget)
# ----- render this frame -----
tokens = tokenizer.convert_ids_to_tokens(aug_ids)
wrapped_lines = _wrap_tokens_with_index(tokens, aug_deleted)
img = Image.new("RGB", (W, H), bg_color)
draw = ImageDraw.Draw(img)
y = margin
draw.text((margin, y), title, fill=title_color, font=font)
y += font_size + line_spacing
for line in wrapped_lines:
x = margin
for seg_text, tok_idx, is_deleted in line:
tok_id = int(aug_ids[tok_idx])
tok_str_exact = tokens[tok_idx]
inst = aug_inst[tok_idx]
if is_deleted:
# strike deleted — grey masks slightly different if desired
strike_color = (
mask_color
if _is_mask_token(tok_id, tok_str_exact)
else del_strike_color
)
strike = "".join(ch + "\u0336" for ch in seg_text)
draw.text((x, y), strike, fill=strike_color, font=font)
x += tmp_draw.textlength(strike, font=font)
else:
# choose color by *instance*
color = text_color
if inst is not None and inst in color_by_inst:
color = (
ins_color
if color_by_inst[inst] == "blue"
else sub_nonmask_color
)
elif _is_mask_token(tok_id, tok_str_exact):
color = mask_color
draw.text((x, y), seg_text, fill=color, font=font)
x += tmp_draw.textlength(seg_text, font=font)
y += font_size + line_spacing
# draw events box for all but the extra final-clean frame we'll add later
# if step_idx != len(steps_with_initial) - 1:
# y += 20
# x0, y0 = margin, y
# x1 = max_width - margin
# box_h = len(ops_lines) * (font_size + line_spacing) + font_size + 20
# y1 = y0 + box_h
# _draw_dashed_rectangle(draw, (x0, y0, x1, y1), outline=box_color)
# draw.text((x0 + 10, y0 + 10), "events", fill=events_color, font=font)
# yy = y0 + font_size + 20
# for l in ops_lines:
# draw.text((x0 + 10, yy), l, fill=events_color, font=font)
# yy += font_size + line_spacing
# y += 10
frames.append(img)
# ----- extra final clean frame (no events box), 5s -----
final_ids = list(curr_ids)
final_inst = list(curr_inst)
final_tokens = tokenizer.convert_ids_to_tokens(final_ids)
# wrap without deleted flags
def _wrap_clean(tokens):
lines, cur, cur_w = [], [], 0
for i, tok in enumerate(tokens):
t = _sanitize_token(tok)
parts = t.split("\n")
for j, seg in enumerate(parts):
seg_rest = seg
while seg_rest:
w = tmp_draw.textlength(seg_rest, font=font)
if cur_w + w <= text_width_budget or not cur:
cur.append((seg_rest, i))
cur_w += w
seg_rest = ""
else:
lines.append(cur)
cur, cur_w = [], 0
if j != len(parts) - 1:
lines.append(cur)
cur, cur_w = [], 0
if cur:
lines.append(cur)
return lines
wrapped_clean = _wrap_clean(final_tokens)
clean_img = Image.new("RGB", (W, H), bg_color)
draw = ImageDraw.Draw(clean_img)
draw.text((margin, margin), "final text", fill=title_color, font=font)
y = margin + font_size + line_spacing
for line in wrapped_clean:
x = margin
for seg_text, tok_idx in line:
tok_id = int(final_ids[tok_idx])
tok_str_exact = final_tokens[tok_idx]
inst = final_inst[tok_idx]
color = text_color
if inst in color_by_inst:
color = (
ins_color if color_by_inst[inst] == "blue" else sub_nonmask_color
)
elif _is_mask_token(tok_id, tok_str_exact):
color = mask_color
draw.text((x, y), seg_text, fill=color, font=font)
x += tmp_draw.textlength(seg_text, font=font)
y += font_size + line_spacing
frames.append(clean_img)
# save GIF
durations = [frame_ms] * (len(frames) - 1) + [final_ms]
frames[0].save(
out_path,
save_all=True,
append_images=frames[1:],
duration=durations,
loop=0,
disposal=2,
optimize=True,
)
return out_path