def append_item(item, lst=[]):
    lst.append(item)
    return lst

result1 = append_item(1)
result2 = append_item(2)
result3 = append_item(3)

print(result1)
print(result2)
print(result3)

[1]  
[2]  
[3]

[1]  
[1, 2]  
[1, 2, 3]

[3]  
[3]  
[3]

def append_item(item, lst=None):
    if lst is None:
        lst = []
    lst.append(item)
    return lst

pip install TTS soundfile torchaudio

from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts import Xtts

# 📁 Путь к твоему голосовому файлу
voice_sample_path = "your_voice.wav"

# 📝 Ввод текста
text = input("Введите текст на русском: ")

# ⚙️ Загрузка модели
config = XttsConfig()
model = Xtts.init_from_config(config)
model.load_checkpoint("tts_models/multilingual/multi-dataset/xtts_v2")

# 🎤 Создание эмбеддинга
speaker_embedding = model.get_speaker_embedding(voice_sample_path)

# 🔊 Синтез речи
output_wav = model.tts(text, speaker_embedding=speaker_embedding)

# 💾 Сохранение
model.save_wav(output_wav, "output_russian.wav")
print("✅ Аудио сохранено как output_russian.wav")

from collections import defaultdict

def make_dict():
    return {"count": 0}

d = defaultdict(make_dict)

d["a"]["count"] += 1
d["b"]["count"] += 1
d["a"]["count"] += 1

print(d)

defaultdict(<function make_dict at 0x...>, {'a': {'count': 2}, 'b': {'count': 1}})

shared = {"count": 0}
d = defaultdict(lambda: shared)

{'a': {'count': 2}, 'b': {'count': 2}}  # неожиданно!

# Правильно:
defaultdict(lambda: {"count": 0})

# Ошибочно:
defaultdict(lambda: some_shared_dict)

matrix = [[0] * 3] * 3

matrix[0][0] = 1

for row in matrix:
    print(row)

[1, 0, 0]
[1, 0, 0]
[1, 0, 0]

matrix = [[0] * 3 for _ in range(3)]

[1, 0, 0]
[0, 0, 0]
[0, 0, 0]

pip install TTS torchaudio gradio difflib

from TTS.tts.configs.xtts_config import XttsConfig
from TTS.tts.models.xtts import Xtts
import difflib

# Инициализация TTS
config = XttsConfig()
model = Xtts.init_from_config(config)
model.load_checkpoint("tts_models/multilingual/multi-dataset/xtts_v2")

# Текст диктанта
text = "Artificial intelligence is transforming education worldwide."

# Генерация речи
speaker_embedding = model.get_speaker_embedding("native_speaker.wav")
audio = model.tts(text, speaker_embedding=speaker_embedding)
model.save_wav(audio, "dictation.wav")

# Пользователь вводит услышанное
user_input = input("Введите, что вы услышали: ")

# Сравнение
diff = difflib.ndiff(text.split(), user_input.split())
print("\n📊 Сравнение:")
print("\n".join(diff))

# Расчёт точности
matcher = difflib.SequenceMatcher(None, text, user_input)
accuracy = matcher.ratio() * 100
print(f"\n✅ Точность: {accuracy:.2f}%")

FROM python:3.10-slim
WORKDIR /app
COPY requirements.txt .
RUN pip install --no-cache-dir -r requirements.txt
COPY . .
CMD ["python", "main.py"]

docker build -t my-python-app .
docker run -it my-python-app