X Tutup
Skip to content

Latest commit

 

History

History
127 lines (96 loc) · 4.53 KB

File metadata and controls

127 lines (96 loc) · 4.53 KB

Python 虚拟机框架

Python 虚拟机是一个栈机器,数据存放在栈中,虚拟机不断执行字节码中的指令,操作数据入栈、出栈。

虚拟机会创建栈帧 (Frame) 作为执行环境(即命名空间),当一个函数调用另外一个函数时,虚拟机会为被调用函数创建一个新的栈帧。

                 +-------------------------+        +-------------------------+
                 |                         |        |     Block stack         |
         +-----> |     Call frame(bar)     +------> +-------------------------+
         |       |                         |        |     Data stack          |
         |       +-----------+-------------+        +-------------------------+
         |                   |
         |       +-----------v-------------+        +-------------------------+
         |       |                         |        |     Block stack         |
Call stack       |     Call frame(foo)     +------> +-------------------------+
         |       |                         |        |     Data stack          |
         |       +-----------+-------------+        +-------------------------+
         |                   |
         |       +-----------v-------------+        +-------------------------+
         |       |                         |        |     Block stack         |
         |       |     Call frame(main)    +------> +-------------------------+
         +-----> |                         |        |     Data stack          |
                 +-------------------------+        +-------------------------+

PyFrameObject

定义:

typedef struct _frame {
    PyObject_VAR_HEAD
    struct _frame *f_back;	/* previous frame, or NULL */
    PyCodeObject *f_code;	/* code segment */
    PyObject *f_builtins;	/* builtin symbol table (PyDictObject) */
    PyObject *f_globals;	/* global symbol table (PyDictObject) */
    PyObject *f_locals;		/* local symbol table (any mapping) */
    PyObject **f_valuestack;	/* points after the last local */
    /* Next free slot in f_valuestack.  Frame creation sets to f_valuestack.
       Frame evaluation usually NULLs it, but a frame that yields sets it
       to the current stack top. */
    PyObject **f_stacktop;
    PyObject *f_trace;		/* Trace function */

    /* If an exception is raised in this frame, the next three are used to
     * record the exception info (if any) originally in the thread state.  See
     * comments before set_exc_info() -- it's not obvious.
     * Invariant:  if _type is NULL, then so are _value and _traceback.
     * Desired invariant:  all three are NULL, or all three are non-NULL.  That
     * one isn't currently true, but"should be".
     */
    PyObject *f_exc_type, *f_exc_value, *f_exc_traceback;

    PyThreadState *f_tstate;
    int f_lasti;		/* Last instruction if called */
    /* As of 2.3 f_lineno is only valid when tracing is active (i.e. when
       f_trace is set) -- at other times use PyCode_Addr2Line instead. */
    int f_lineno;		/* Current line number */
    int f_iblock;		/* index in f_blockstack */
    PyTryBlock f_blockstack[CO_MAXBLOCKS]; /* for try and loop blocks */
    PyObject *f_localsplus[1];	/* locals+stack, dynamically sized */
} PyFrameObject;

嵌套作用域

LGB 规则:Locals -> Globals -> Builtins

# main.py
a = 1
b = 1

def f():
    a = 2
    print a # 输出 2
    print b # 输出 1

print a # 输出 1
print b # 输出 1

书中提到一个另许多初学者疑惑的例子:

a = 1

def f():
    print a
    a = 2

f()

上述代码执行时会报错:UnboundLocalError: local variable 'a' referenced before assignment

常见的误解是:在执行到函数 f 的 print 语句时,由于 local 作用域没有 a,所以会去外层作用域寻找 a,找到 a=1,因此打印 1。

实际上 Python 在解析(或者说编译)函数 f 的定义时,发现赋值语句a = 2,则会在函数 f 的 local 作用域创建 a,但是并没有对其初始化,直到执行a = 2时才会对 a 进行赋值。在执行print a时,在 local 作用域找到了a,但是由于没有初始化,所以才会出现UnboundLocalError: local variable 'a' referenced before assignment错误。

闭包

LEGB 规则: Locals -> Enclosing -> Globals -> Builtins

# main.py
a = 1

def f():
    a = 2
    def g():
        print a
    return g

g = f()
g()
# 输出 2

其它有用的资源

X Tutup