Python中的元编程(Meta-Programming) 元编程:是编写出可以操作的代码的行为,即用代码来操作另一个代码。 Python中的元编程:一种构建函数和类的行为,这些函数和类可以通过修改、包装现有代码或生成代码来进行操纵。 Python中元学习的实现方法: 装饰器 元类 1.装饰器 装饰器是一种不用修改原始代码结构来为现有函数...
meta-data 就是「关于数据的数据」,meta-language 就是「关于语言的语言」,而 meta-programming 也是由此而来,是「关于编程的编程」。 弄清了词源和字面意思,可知大陆将 meta- 这个前缀译为「元」并不恰当。台湾译为「后设」,稍微好一点点,但仍旧无法望文生义。 也许「自相关」是个不错的选择,「自相关数据...
任务选择。为了评估MetaGPT框架在代码生成中的表现,特别是在单文件场景中,并展示其多智能体协作的有效性,我们使用两个开源基准,HumanEval[24]和MBPP[25],来评估代码生成性能。HumanEval基准包括164个手写编程任务。每个任务包括一个函数规范、描述、参考代码和多个单元测试。MBPP基准包括427个经过人工验证的Python编程任...
meta .gitignore .travis.yml MANIFEST.in README.rst license.rst setup.py version.txt Meta A Pure Python module containing a framework to manipulate and analyze python ast's and bytecode. Example This shows how to take python source to a code object and back again from within python: ...
pt2_debug_metacls_approach.py pt3_bind_sig.py pt4_master_of_dot.py pt5_boost1.py pt6_boost2.py 1. Scratching the surface pt1_debug_decorator_approach.py 2. A closer look at meta pt2_debug_metacls_approach.py 3. Yeah, but how?
With this, we have now completely specified our problem in a few equations and can solve them using linear programming techniques. Of course, as we are interested in automating and productionalizing this, it can easily be specified in code. For this example, we accomplish this in Python using...
type本身是一个类,是Python内置的metaclass元类。我们可以自定义metaclass,所有类和元类都从type继承而来。元类是Python元编程的方式之一。 type-meta-class.jpg 用type创建类 type是Python中类的元类,因此可用type创建类。创建格式如下 <new_class_name> = type(<new_class_name>, [<base_class>], {<class...
As you will soon see, each meta-operator (like Add, Return, etc.) has a field called id. We can use this field to find out what kind of base-type the template has. In this context, a base-type has nothing to do with inheritance and polymorphism. I'm not sure if this is ...
0x3:Language Model Programming in LMQL 这章我们讨论 LMQL 如何帮助克服传统LLM面临的挑战。 如下图(c)所示,我们编写与之前的人工promot-completions交互相同的查询LMQL 语法。 Fig.4 Example of a meta prompt for the circumference of the earth and its scripted prompting counterpart ...
For decades, database systems have been built on strict, predictable APIs: list your /tables, fetch /meta, run SELECT queries — and everything just works. But today, with AI evolving rapidly, a powerful new dream is emerging: "Can users finally talk to databases in natural language — ...