将该单元全部单词组成一篇小故事，要求简短生动简单，并做成动画以辅助我使用记忆宫殿来记忆

python
from PIL import Image
img=Image.open('/mnt/data/02e49f6460ffddcf75f129a1f1413455.jpg')
img.size


(1706, 1279)

python
import matplotlib.pyplot as plt, numpy as np
img=Image.open('/mnt/data/02e49f6460ffddcf75f129a1f1413455.jpg')
arr=np.array(img)
plt.figure(figsize=(18,12))
plt.imshow(arr)
plt.axis('off');

python
from pathlib import Path
import os, textwrap, math, json
print("Preparing animation assets...")

python
words = [
'choke','chop','circumstance','cite','claim','clear','border','bore','born','bother','acquire',
'acquisition','act','action','activate','active','activity','actual','acute','despise','despite','energetic',
'energy','enforce','engage','engagement','fold','folk','follow','following','force','fore','forecast',
'foresee','forge','grim','grasp','grip','gross','ground','group','guarantee','guard','include',
'inclusive','income','incorporate','increase','increasingly','incredible','incur','link','list','literally','literary',
'literature','memo','memorial','memory','mental','mention','mentor','other','otherwise','outcome','sign',
'signature','signal','significance','significant','signify','similar','simple','simplicity','simplify','simply','slack'
]
len(words), len(set(words))


(77, 77)

python
from pathlib import Path
text = Path('/mnt/data/unit19_story.txt').read_text(encoding='utf-8').lower()
missing=[w for w in words if w not in text]
missing[:20], len(missing)


([], 0)

python
from PIL import Image
from pathlib import Path
import numpy as np, math, os, imageio.v2 as imageio

out_dir = Path('/mnt/data')
images = [Image.open(out_dir/f'unit19_scene_{i}.png').convert('RGB') for i in range(1,8)]
W,H = 1280,720
fps = 15
scene_dur = 4.5   # seconds fully visible
trans_dur = 0.8   # seconds crossfade
scene_frames = int(scene_dur * fps)
trans_frames = int(trans_dur * fps)

def zoom_frame(img, t, total, mode=1):
    # t in [0,total-1]
    base = img.copy()
    iw, ih = base.size
    # zoom from 1.0 to 1.08 or reverse
    if mode == 1:
        z = 1.0 + 0.08 * (t / max(1,total-1))
    else:
        z = 1.08 - 0.08 * (t / max(1,total-1))
    cw, ch = int(iw / z), int(ih / z)
    left = (iw - cw)//2
    top = (ih - ch)//2
    crop = base.crop((left, top, left+cw, top+ch)).resize((W,H), Image.Resampling.LANCZOS)
    return np.array(crop)

frames = []
for idx, img in enumerate(images):
    mode = 1 if idx % 2 == 0 else 2
    scene = [zoom_frame(img, t, scene_frames, mode=mode) for t in range(scene_frames)]
    if idx < len(images)-1:
        next_mode = 2 if mode == 1 else 1
        next_scene_start = [zoom_frame(images[idx+1], t, trans_frames, mode=next_mode) for t in range(trans_frames)]
        # replace last trans_frames with crossfade
        for k in range(trans_frames):
            alpha = (k+1)/trans_frames
            a = scene[scene_frames-trans_frames+k].astype(np.float32)
            b = next_scene_start[k].astype(np.float32)
            scene[scene_frames-trans_frames+k] = np.clip((1-alpha)*a + alpha*b, 0, 255).astype(np.uint8)
    frames.extend(scene)

mp4_path = out_dir/'unit19_animation_short.mp4'
gif_path = out_dir/'unit19_animation_preview.gif'

writer = imageio.get_writer(mp4_path, fps=fps, codec='libx264', format='FFMPEG', ffmpeg_log_level='error')
for fr in frames:
    writer.append_data(fr)
writer.close()

# shorter preview gif using every 4th frame
preview = [Image.fromarray(fr).resize((960,540), Image.Resampling.LANCZOS) for fr in frames[::4]]
preview[0].save(gif_path, save_all=True, append_images=preview[1:], duration=int(1000/(fps/4)), loop=0)

print(mp4_path, mp4_path.stat().st_size)
print(gif_path, gif_path.stat().st_size)
print(len(frames), 'frames')