print("--- AI训练常用工具 ---") # 增加行1:打印标题
tools = ["TensorFlow", "PyTorch", "Keras"]
print("初始工具列表:", tools )
print("当前工具数量:", len(tools) ) # 增加行2:打印列表长度
print("每个工具名称:") # 增加行3:提示下面逐项打印
for t in tools: # 增加行4:循环逐项打印
print(" -", t ) # 增加行5:打印单个工具
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
cHJpbnQoJnF1b3Q7XG4tLS0g5re75Yqg5paw5bel5YW3IC0tLSZxdW90OykKbmV3X3Rvb2xzID0gWyZxdW90O1NjaWtpdC1sZWFybiZxdW90OywgJnF1b3Q7TVhOZXQmcXVvdDtdCmZvciB0b29sIGluIG5ld190b29sczoKICAgIGlmIHRvb2wgbm90IGluIHRvb2xzOgogICAgICAgIHRvb2xzLiAgIGFwcGVuZCAgICAgKHRvb2wpCiAgICAgICBlbHNlOiAgICAgICAKICAgICAgICBwcmludChmJnF1b3Q75bel5YW3ICd7dG9vbH0nIOW3suWtmOWcqO+8jOi3s+i/h+a3u+WKoCZxdW90OykKCnByaW50KCZxdW90O1xu5pu05paw5ZCO55qE5bel5YW35YiX6KGoOiZxdW90OywgICAgdG9vbHMgICAgICAp
print("\n--- 添加新工具 ---")
new_tools = ["Scikit-learn", "MXNet"]
for tool in new_tools:
if tool not in tools:
tools. append (tool)
else:
print(f"工具 '{tool}' 已存在,跳过添加")
print("\n更新后的工具列表:", tools )