我有下面的代码，我试图在Jupyter笔记本中逐行运行，但是它一到达Pandas Dataframe 被转换成NumPy的那一行，它就一直死机。

#importing libraries
import sqlalchemy
import spacy
import numpy as np
import pandas as pd

#connecting to database and reading into dataframe with sqlalchemy
user_inputs = "SELECT * FROM t1"
rasa_questions = "SELECT * FROM o2"

server = 'DEM'
db = 's'

engine = sqlalchemy.create_engine('mssql+pyodbc://' + server + '/' + db + '?driver=SQL+Server')

user_inputs_df = pd.read_sql_query(user_inputs, engine)
rasa_questions_df = pd.read_sql_query(rasa_questions, engine)

#loading spacy
nlp = spacy.load("de_core_news_lg")

rasa_questions_list = rasa_questions_df["F"]
user_input_list = user_inputs_df["U"]

rasa_vector = [nlp(s).vector for s in rasa_questions_list]
user_vector = [nlp(s).vector for s in user_input_list]

similarity_scores = np.inner(rasa_vector, user_vector) / (np.linalg.norm(rasa_vector, axis=1) * np.linalg.norm(user_vector, axis=1))

data = []
for i in range(len(rasa_questions_list)):
    for j in range(len(user_input_list)):
        data.append([rasa_questions_list[i], user_input_list[j], similarity_scores[i][j]])

O2_Similarity_Scores = pd.DataFrame(data, columns=['RASA Frage', 'User Input', 'Similarity Score'])
print(O2_Similarity_Scores)

所以，这是使内核失效的代码行-相似性得分= np.内部（Rasa_vector，用户_vector）/（np.线性代数.范数（rasa_vector，轴=1）* np.线性代数.范数（用户_vector，轴=1））
我使用的是Windows 10和Python 3.9.12，我做错了什么？