From fdea4654bf66a1ff695dd899b477f68e86a1dcdb Mon Sep 17 00:00:00 2001 From: YongWoo Lee Date: Sat, 29 Jun 2024 18:52:09 +0900 Subject: [PATCH] =?UTF-8?q?6=EC=A3=BC=EC=B0=A8=20Jupyter=20Book=20?= =?UTF-8?q?=EC=A0=95=EB=A6=AC=20(#108)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit Co-authored-by: mikaniz --- book/docs/8_0_eval_loop.md | 528 +++++++++++++++++++++++++-- book/images/8_eval_loop/06_eval6.JPG | Bin 0 -> 125996 bytes book/images/8_eval_loop/07_eval7.JPG | Bin 0 -> 337307 bytes 3 files changed, 506 insertions(+), 22 deletions(-) create mode 100644 book/images/8_eval_loop/06_eval6.JPG create mode 100644 book/images/8_eval_loop/07_eval7.JPG diff --git a/book/docs/8_0_eval_loop.md b/book/docs/8_0_eval_loop.md index 0a041dc..e00e439 100644 --- a/book/docs/8_0_eval_loop.md +++ b/book/docs/8_0_eval_loop.md @@ -4,14 +4,20 @@ - [8.0 개요](#80-개요) - [8.1 스레드 상태 생성하기](#81-스레드-상태-생성하기) - [8.2 프레임 객체 생성하기](#82-프레임-객체-생성하기) + - [프레임 객체 초기화 API](#프레임-객체-초기화-api) - [8.3 프레임 실행](#83-프레임-실행) + - [프레임 실행 추적](#프레임-실행-추적) - [8.4 값 스택](#84-값-스택) + - [값 스택 시뮬레이션: 바이트 코드 명령 예제, BINARY_OR](#값-스택-시뮬레이션-바이트코드-명령-예제-binary_or) + - [바이트코드 예측](#바이트코드-예측) - [8.6 요약](#86-요약) ## 8.0 개요 -지금까지는 파이썬으로 작성된 코드들을 파싱하여, 어떻게 구문 분석을 실시하고, 코드 객체로 컴파일 하는지에 대해 알아보았습니다. 컴파일된 코드 객체는 바이트 코드로 표현된 연산 리스트를 포함하게 됩니다. -이번 장에서는 값 스택 이라는 개념을 소개하는데, 컴파일된 코드 객체의 바이트 코드 연산들은 값 스택에서, 변수를 생성하고 변경하여 사용하게 됩니다. +지금까지는 파이썬으로 작성된 코드들을 파싱하여, 어떻게 구문 분석을 실시하고, 코드 객체로 컴파일 하는지에 대해 알아보았습니다. +컴파일된 코드 객체는 바이트 코드로 표현된 연산 리스트를 포함하게 됩니다. +이번 장에서는 값 스택 이라는 개념을 소개하는데, +컴파일된 코드 객체의 바이트 코드 연산들은 값 스택에서 변수를 생성하고 변경하여 사용하게 됩니다. CPython 에서 코드는 **평가 루프** 라는 개념을 통해 루프(Loop)를 돌며 실행되게 됩니다. @@ -34,23 +40,56 @@ CPython 에서 코드는 **평가 루프** 라는 개념을 통해 루프(Loop) ## 8.1 스레드 상태 생성하기 -프레임을 실행하려면 스레드에 연결해야 합니다.(스레드에서 생성하기 떄문). 인터프리터 상태에서 인터프리터는 스레드들을 연결 리스트의 형태로 스레드들을 관리하게 됩니다. - -앞서 설명하였듯이, 스레드는 각자 고유의 스레드 상태를 가지게 되는데, 스레드 상태를 나타내는 PyThreadState 가 그 상태를 나타내게 됩니다. - +프레임을 실행하려면 스레드에 연결해야 합니다 (스레드에서 생성하기 떄문). +인터프리터 상태에서 인터프리터는 스레드들을 연결 리스트의 형태로 스레드들을 관리하게 됩니다. +앞서 설명하였듯이, 스레드는 각자 고유의 스레드 상태를 가지게 되는데, +스레드 상태를 나타내는 PyThreadState 가 그 상태를 나타내게 됩니다. ![CST_EXPR](../images/8_eval_loop/02_eval2.JPG) -위의 PyThreadState는 _ts 의 별칭으로 사용되게 됩니다. 코드를 살펴보게 되면, 고유 식별자, 다른 스레드 상태와 연결된 연결 리스트, 인터프리터의 상태, 재귀 깊이 등을 나타내는 값들로 이루어져 있습니다. +위의 PyThreadState는 _ts 의 별칭으로 사용되게 됩니다. +코드를 살펴보게 되면, 고유 식별자, 다른 스레드 상태와 연결된 연결 리스트, +인터프리터의 상태, 재귀 깊이 등을 나타내는 값들로 이루어져 있습니다.
-
-
+ +조금만 자세히 들여다보자면, 각 스레드는 스레드 상태(`PyThreadState`)를 가지게 되고, +스레드 상태는 `PyInterpreterState` 내부에서 연결 리스트로 관리한다는 것을 알 수 있습니다. + +``` c +/* Include/pystate.h */ + +/* struct _ts is defined in cpython/pystate.h */ +typedef struct _ts PyThreadState; +/* struct _is is defined in internal/pycore_interp.h */ +typedef struct _is PyInterpreterState; +``` + +
+ +``` c +/* Include/internal/pycore_interp.h */ + +// The PyInterpreterState typedef is in Include/pystate.h. +struct _is { + + struct _is *next; + struct _ts *tstate_head; + + /* skip */ +} +``` + +


## 8.2 프레임 객체 생성하기 -AST 를 거쳐 컴파일된 객체는 프레임 객체에 최종적으로 삽입되게 됩니다. 파이썬 타입인 프레임 객체는 C 와 파이썬 코드 양쪽에서 참조할 수 있도록 설계되었습니다. 프레임 객체는 **코드 객체의 명령** 을 실행하는데 필요한 런타임 데이터를 포함하고, 런타임 데이터에는 **전역 변수, 지역 변수, 내장 모듈 등**이 포함됩니다. +AST 를 거쳐 컴파일된 객체는 프레임 객체에 최종적으로 삽입되게 됩니다. +파이썬 타입인 프레임 객체는 C 와 파이썬 코드 양쪽에서 참조할 수 있도록 설계되었습니다. + +프레임 객체는 **코드 객체의 명령** 을 실행하는데 필요한 런타임 데이터를 포함하고, +런타임 데이터에는 **전역 변수, 지역 변수, 내장 모듈 등**이 포함됩니다.


@@ -58,40 +97,485 @@ AST 를 거쳐 컴파일된 객체는 프레임 객체에 최종적으로 삽입 ![Parser_Tokenizer](../images/8_eval_loop/03_eval3.JPG) +
+ 다음은 프로퍼티를 가진 CPython 의 코드 입니다. ![Parser_Tokenizer](../images/8_eval_loop/04_eval4.JPG) -인터프리터에 의해 만들어진 PyFrameObject 는 초기화 과정을 거치게 되는데, PyEval_EvalCode( ) 라는 함수 안에서 초기화 과정을 거치게 됩니다. +인터프리터에 의해 만들어진 `PyFrameObject`는 초기화 과정을 거치게 되는데, +`PyEval_EvalCode()` 라는 함수 안에서 초기화 과정을 거치게 됩니다.
![Parser_Tokenizer](../images/8_eval_loop/05_eval5.JPG) -
-
-
+`_PyEval_EvalCode()` 함수를 따라 프레임에 대한 데이터들이 추가되고, 프레임이 해석되며, 코드가 실행되게 됩니다. + +

+ +### 프레임 객체 초기화 API +프레임 객체를 초기화하는 API인 `PyEval_EvalCode()`는 코드 객체를 평가하기 위한 진입점입니다. + +`PyEval_EvalCode()`는 내부 함수` _PyEval_EvalCode()` 를 감싸는 Wrapper 함수입니다. +`PyEval_EvalCode()`는 아래와 같은 호출 스택을 가집니다. + +|호출 스택| +|:---:| +|`_PyEval_EvalCode`| +|`_PyEval_EvalCodeWithName`| +|`PyEval_EvalCodeEx`| +|`PyEval_EvalCode`| + +
+ +`_PyEval_EvalCode()`는 인터프리터 루프와 프레임 객체 동작의 상당 부분을 정의합니다. +`PyEval_EvalCode()`는 아래와 같으며 3개의 인자를 받습니다. + +``` c +/* Python/ceval.c */ + +PyObject * +PyEval_EvalCode(PyObject *co, PyObject *globals, PyObject *locals) +{ + return PyEval_EvalCodeEx(co, + globals, locals, + (PyObject **)NULL, 0, + (PyObject **)NULL, 0, + (PyObject **)NULL, 0, + NULL, NULL); +} +``` +- `co` : 코드 객체 +- `globals`, `locals` : 지역 및 전역 변수 + +
+ +`_PyEval_EvalCode()`는 다양한 인자를 받는다. + +```c +/* Python/ceval.c */ + +_PyEval_EvalCode(PyThreadState *tstate, + PyObject *_co, PyObject *globals, PyObject *locals, + PyObject *const *args, Py_ssize_t argcount, + PyObject *const *kwnames, PyObject *const *kwargs, + Py_ssize_t kwcount, int kwstep, + PyObject *const *defs, Py_ssize_t defcount, + PyObject *kwdefs, PyObject *closure, + PyObject *name, PyObject *qualname) +``` + +- `tstate` : 코드를 평가할 스레드의 상태를 나타냄 (PyThreadState*) +- `_co` : 프레임 객체에 삽입할 코드 객체 (PyCodeObject*) +- `globals` : 전역 변수, 변수명을 키로 사용 (PyObject*-dict) +- `locals` : 지역 변수, 변수명을 키로 사용 (PyObject*-dict) + +위 4개의 인자를 제외한 인자는 선택 인자로 기본 API에서는 사용하지 않습니다. + +
+ +여기까지 주요 흐름을 정리하자면 다음과 같습니다. +1. 스레드 상태가 유효한지 확인한다. +2. 프레임 객체를 선언하고 그 반환값을 초기화하는 등 초기화 작업을 진행한다. +3. 프레임 객체를 생성한다. + ``` c + /* Python/ceval.c */ + + PyObject * + _PyEval_EvalCode(PyThreadState *tstate, + PyObject *_co, PyObject *globals, PyObject *locals, + PyObject *const *args, Py_ssize_t argcount, + PyObject *const *kwnames, PyObject *const *kwargs, + Py_ssize_t kwcount, int kwstep, + PyObject *const *defs, Py_ssize_t defcount, + PyObject *kwdefs, PyObject *closure, + PyObject *name, PyObject *qualname) + { + /* skip */ + + /* Create the frame */ + f = _PyFrame_New_NoTrack(tstate, co, globals, locals); + if (f == NULL) { + return NULL; + } + + /* skip */ + } + ``` +4. 인자와 변수를 처리한다. +5. 제너레이터 객체와 코루틴 객체를 처리한다. +6. 프레임을 실행하고 결과를 저장한다. +7. 프레임 객체의 참조 수를 확인하고 관련 객체들을 해제한다. +8. 결과를 반환한다. + + +

+ +여기서 `_PyFrame_New_NoTrack()`에 조금만 자세히 알아보도록 합시다. +`_PyFrame_New_NoTrack()`는 `_PyEval_EvalCode()`의 기본 인자 4가지를 받습니다. + +```c +/* Objects/frameobject.c */ + +PyFrameObject* _Py_HOT_FUNCTION +_PyFrame_New_NoTrack(PyThreadState *tstate, PyCodeObject *code, + PyObject *globals, PyObject *locals) +``` + +아래 과정을 통해 새로운 PyFrameObject를 생성하여 반환한다. +- 프레임의 f_back 프로퍼티를 스레드 상태의 마지막 프레임으로 설정한다. +- f_builtins 프로퍼티를 설정 → PyModule_GetDict() 로 builtins 모듈에서 내장 함 +수들을 불러온다. +- f_code 프로퍼티에 평가 중인 코드 객체를 설정한다. +- f_valuestack 프로퍼티에 빈 값 스택을 설정한다. +- f_stackpop 에 f_valuestack 을 가리키는 포인터를 설정한다. +- 전역 이름 공간 프로퍼티인 f_globals 에 인자로 받은 globals 를 설정한다. +- 지역 이름 공간 프로퍼티인 f_locals 에 새 딕셔너리를 설정한다. +- TraceBack에 줄 번호를 표시하기 위해 f_lineno 를 코드 객체의 co_firstlineno 로 설 +정한다. +- 나머지 프로퍼티는 기본값으로 설정한다. + +

+ +위 과정을 모두 거쳐 생성된 프레임 객체(`PyFrameObject`)는 다음과 같습니다. + +![PyFrameObject Structure](../images/8_eval_loop/06_eval6.JPG) + +
+ +|요소|설명| +|---|---| +|Built-in NameSpace|`len`, `print`와 같은 내장 함수 및 예외 등을 포함한다.| +|Global NameSpace|모듈 레벨에서 정의한 변수, 함수, 클래스 등을 포함한다.| +|Local NameSpace|함수나 메소드 호출에서 생성됨. 함수 내부에서 정의된 지역 변수를 포함한다.| +|Value Stack|코드의 실행 중 발생하는 연산을 위한 임시 저장소 역할을 한다.
대부분의 연산들은 이 스택을 통해 수행된다.| +|Code Object|실행 가능한 ByteCode와
이와 관련된 메타데이터(파일 이름, 줄 번호 등)을 포함한다.| + +
+ +|요소|설명| +|---|---| +|ByteCode Instructions|컴파일 후 생성된 ByteCode, 기계어 명령에 해당한다.| +|Names|함수, 변수, 클래스 등의 식별자를 포함하는 리스트이다.
코드 실행 중 이름 참조 시 사용된다.| +|Constants|실행 중 변경되지 않는 값들을 포함함.
코드 내에서 직접 사용되는 Literal 값을 의미한다. (숫자, 문자열, 튜플 등)| + +
+ +아래 코드를 예시로 살펴봅시다. + +```c +def sample(): + x = 5 + print(x) + + return 4.29 +``` +- `x`, `print`는 Names에 저장됩니다. +- `4.29`는 Constants에 저장됩니다. +- 해당 값들은 바이트코드에서 참조될 때, Names와 Constants에 저장된 인덱스를 통해 참조됩니다. + +


## 8.3 프레임 실행 -6장 7장에서 살펴보았듯이, 코드 객체는 실행할 바이트 코드를 이진 인코딩한 결과와 심벌 테이블, 변수 목록을 포함하게 됩니다. 변수가 지역인지 전역인지에 따라 함수나 모듈 또는 블록이 호출된 방법에 따라 런타임에 결정되게 됩니다. +6장 7장에서 살펴보았듯이, 코드 객체는 실행할 바이트 코드를 +이진 인코딩한 결과와 심벌 테이블, 변수 목록을 포함하게 됩니다. -_PyEval_EvalCode( ) 함수를 따라 프레임에 대한 데이터들이 추가되고, 프레임이 해석되며, 코드가 실행되게 됩니다. +그리고 변수가 지역인지 전역인지는 +함수나 모듈 또는 블록이 호출된 방법에 따라 런타임에 결정되는데, +이 정보는 `_PyEval_EvalCode()`에 의해 프레임에 추가됩니다. +`_PyEval_EvalFrameDefault()`는 **기본 프레임 평가 함수**이며, +이 함수가 모든 것을 통합하는 역할을 수행합니다. -
-
-
+
+ +간단히 말해, 파이썬 프로그램이 실행될 때, +각각의 코드 객체는 실행을 위해 ‘프레임’이라는 단위로 관리되고 +`_PyEval_EvalFrameDefault()`는 이러한 프레임들을 하나씩 받아서 +순차적으로 명령을 실행하게 됩니다. + + +

+ +### 프레임 실행 추적 +Python 3.7 부터는 현재 쓰레드에서 추적 어트리뷰트를 활성화해서 +단계적으로 프레임을 실행할 수 있습니다. + +`PyFrameObject` 타입은 `PyObject *` 타입의 `f_trace` 프로퍼티를 가지는데, +이 프로퍼티 값은 파이썬 함수를 가리키는 포인터입니다. + +아래 예제는 전역 추적 함수로 `my_trace()`를 설정해서 +현재 프레임에서 스택을 가져오고, 역어셈블된 명령 코드를 출력하며, +디버깅을 위한 정보를 추가합니다. + +``` python +import io +import sys +import dis +import traceback + +def my_trace(frame, event, args): + frame.f_trace_opcodes = True + stack = traceback.extract_stack(frame) + pad = " "*len(stack) + "|" + if event == 'opcode': + with io.StringIO() as out: + dis.disco(frame.f_code, frame.f_lasti, file=out) + lines = out.getvalue().split('\\n') + [print(f"{pad}{l}") for l in lines] + elif event == 'call': + print(f"{pad}Calling {frame.f_code}") + elif event == 'return': + print(f"{pad}Returning {args}") + elif event == 'line': + print(f"{pad}Changing line to {frame.f_lineno}") + else: + print(f"{pad}{frame} ({event} - {args})") + print(f"{pad}-----------------------------------") + return my_trace + +sys.settrace(my_trace) + +# 데모용 코드 실행 +eval('"-".join([letter for letter in "hello"])') +``` + +![Script](../images/8_eval_loop/07_eval7.JPG) + +
+ +`sys.settrace()`는 인자로 전달받은 함수를 현재 스레드 상태의 기본 추적 함수로 설정합니다. +이 호출 이후 생성된 모든 새 프레임의 `f_trace`가 전달된 함수로 설정됩니다. + +이 토막 코드는 각 스택에서 코드를 출력하고 실행 전에 다음 명령을 가리킵니다. +> 전체 ByteCode 명령 목록은 dis 모듈 문서에서 찾을 수 있다. + +``` python +import dis +dis.__dict__ +... +Copyright (c) 1991-1995 Stichting Mathematisch Centrum, Amsterdam. +All Rights Reserved., 'credits': Thanks to CWI, CNRI, BeOpen.com, Zope Corporation and a cast of thousands + for supporting Python development. See www.python.org for more information., 'license': Type license() to see the full license text, 'help': Type help() for interactive help, or help(object) for help about object., '_': None}, 'sys': , 'types': , 'collections': , 'io': , 'cmp_op': ('<', '<=', '==', '!=', '>', '>='), 'hasconst': [100], 'hasname': [90, 91, 95, 96, 97, 98, 101, 106, 108, 109, 116, 160], 'hasjrel': [93, 110, 122, 143, 154], 'hasjabs': [111, 112, 113, 114, 115, 121], 'haslocal': [124, 125, 126], 'hascompare': [107], 'hasfree': [135, 136, 137, 138, 148], 'opname': ['<0>', 'POP_TOP', 'ROT_TWO', 'ROT_THREE', 'DUP_TOP', 'DUP_TOP_TWO', 'ROT_FOUR', '<7>', '<8>', 'NOP', 'UNARY_POSITIVE', 'UNARY_NEGATIVE', 'UNARY_NOT', '<13>', '<14>', 'UNARY_INVERT', 'BINARY_MATRIX_MULTIPLY', +... +``` + + +


## 8.4 값 스택 -값 스택은 코어 평가 루프 안에서 생성되게 됩니다. 이 스택은 PyObject 인스턴스를 가르키는 포인터가 들어있는 리스트입니다. 값 스택의 포인터는 변수나 함수 참조 등 어떠한 파이썬 객체라도 가르킬 수 있다는 특징이 있습니다. +값 스택은 코어 평가 루프 안에서 생성되게 됩니다. +이 스택은 PyObject 인스턴스를 가르키는 포인터가 들어있는 리스트입니다. + +값 스택의 포인터는 변수나 함수 참조 등 +어떠한 파이썬 객체라도 가르킬 수 있다는 특징이 있습니다. + +> 평가루프에서 바이트코드 명령은 값 스택으로부터 입력을 취합니다.
-값 스택이라는 이름처럼 파이썬의 각 프레임 오브젝트 들은 스택처럼 값을 계산해나가면, PyFrameObject 들을 생성 소멸 해 나가면, 각 명령 코드에 의해 스택 크기의 변화량을 반환합니다. +값 스택이라는 이름처럼 파이썬의 각 프레임 오브젝트 들은 스택처럼 값을 계산해나가면, +PyFrameObject 들을 생성 소멸 해 나가면서 +각 명령 코드에 의해 스택 크기의 변화량을 반환합니다. + + +

+ +### 값 스택 시뮬레이션 (바이트코드 명령 예제: BINARY_OR) +값 스택은 코어 평가 루프 안에서 생성됩니다. +이 스택은 `PyObject` 인스턴스를 가리키는 포인터가 들어 있는 리스트입니다. + +값 스택의 포인터는 변수나 함수 참조 등 어떠한 파이썬 객체라도 가리킬 수 있습니다. +평가 루프에서 ByteCode 명령은 값 스택으로부터 입력을 취합니다. + +
+ +예를 들어 or 문을 사용한 파이썬 코드를 살펴보도록 합시다. + +``` python +if left or right: + pass +``` +컴파일러는 이 `or` 문을 `BINARY_OR` 명령으로 컴파일합니다. + +
+ +``` c +static int +binop(struct compiler *c, operator_ty op) +{ + switch (op) { + case Add: + return BINARY_ADD; + ... + case BitOr: + return BINARY_OR; + } +} +``` +평가 루프는 `BINARY_OR`일 경우에 값 스택에서 `left`와 `right` 두 개의 값을 꺼낸 후 +꺼낸 객체들을 인자로 `PyNumber_Or`를 호출합니다. + +그 후 연산 결과인 `res`를 스택의 맨 위에 추가합니다. + +``` c + ... + case TARGET(BINARY_OR): { + PyObject *right = POP(); + PyObject *left = TOP(); + PyObject *res = PyNumber_Or(left, right); + Py_DECREF(left); + Py_DECREF(right); + SET_TOP(res); + if (res == NULL) + goto error; + DISPATCH(); + } + +``` + +

+ +### 바이트코드 예측 +리스트 객체의 `append()` 메소드를 예로 들어보자. + +``` python +my_list = [] +my_list.append(obj) +``` + +앞의 예시에서 `obj`는 리스트 끝에 추가하려는 객체입니다. +리스트 추가 연산은 다음 두 연산을 포함합니다. + +1. `LOAD_FAST`: `obj`를 프레임의 `locals`에서 값 스택의 맨 위로 올린다. +2. `LIST_APPEND`: 객체를 리스트에 추가한다. + +
+ +여기에서 바이트코드 명령인 `LOAD_FAST`은 설명은 다음과 같습니다. + +- **목적**: 지역 변수 `obj`를 값 스택의 맨 위로 로드한다. +- **과정**: + 1. `GETLOCAL()`을 사용하여 `obj`의 포인터를 얻는다. + 2. 언바운드 지역 변수 에러를 처리한다 (변수가 정의되지 않은 경우). + 3. 객체의 레퍼런스 카운터를 증가시킨다. + 4. 포인터를 값 스택에 푸시한다. + 5. `FAST_DISPATCH` 매크로를 통해 다음 명령으로 빠르게 이동한다. + +다음은 `LOAD_FAST`를 처리하는 코드입니다. + +``` c +// Python/ceval.c + ... + case TARGET(LOAD_FAST): { + PyObject *value = GETLOCAL(oparg); // 1. + if (value == NULL) { + format_exc_check_arg( + PyExc_UnboundLocalError, + UNBOUNDLOCAL_ERROR_MSG, + PyTuple_GetItem(co->co_varnames, oparg)); + goto error; // 2. + } + Py_INCREF(value); // 3. + PUSH(value); // 4. + FAST_DISPATCH(); // 5. + } + ... + +``` + +
+ +`obj`에 대한 포인터를 값 스택의 맨 위에 추가하면 다음 명령인 `LIST_APPEND`가 실행됩니다. +`LIST_APPEND`에 대한 설명은 다음과 같습니다. + +- **목적**: 값 스택에서 객체를 꺼내 리스트의 끝에 추가한다. +- **과정**: + 1. 값 스택에서 객체의 포인터를 꺼낸다 (`POP()`). + 2. 리스트 객체의 포인터를 스택에서 가져온다 (`PEEK(oparg)`). + 3. `PyList_Append()` 함수를 호출하여 객체를 리스트에 추가한다. + 4. 예외 처리를 수행하고, 에러 발생 시 에러 처리 루틴으로 이동한다. + 5. `PREDICT(JUMP_ABSOLUTE)`를 통해 다음 예상 명령으로 빠르게 이동한다. + +```c +... + case TARGET(LIST_APPEND): { + PyObject *v = POP(); + PyObject *list = PEEK(oparg); + int err; + err = PyList_Append(list, v); + Py_DECREF(v); + if (err != 0) + goto error; + PREDICT(JUMP_ABSOLUTE); // <-- 예측에 성공한다면 goto 문으로 바뀜 + DISPATCH(); + } +... +``` + +`PREDICT`는 다음 명령이 `JUMP_ABNSOULTE`일 것이라고 예측하는 구문입니다. +이 매크로는 바로 다음에 실행될 것이라고 예측되는 +연산의 `case` 문으로 점프하도록 컴파일러가 생성한 `goto` 문을 포함합니다. + +즉, CPU가 루프를 돌지 않고 예측한 명령으로 바로 점프할 수 있습니다. + +> 자주 함께 등장하는 명령 코드들에 대해서는 첫 번째 명령을 실행할 때 두 번째 명령을 함께 예측할 수 있습니다. +예를 들어 COMPARE_OP 실행 후에는 POP_JUMP_IF_FALSE 또는 POP_JUMP_IF_TRUE가 실행되는 경우가 많습니다. +> +> +> 명령 코드에 대한 통계를 수집하려면 2가지 선택지가 있습니다. +> +> 1. 예측을 활성화하고 일부 명령 코드가 조합된 것 처럼 결과를 해석한다. +> 2. 예측을 비활성화하고 각 명령 코드에 대한 실행 빈도 카운터가 독립적으로 갱신되도록 한다. +> +> 계산된 `goto`를 사용할 수 있으면 `CPU`가 각 명령어 코드에 대해 별도의 분기 예측 정보를 기록할 수 있기 때문에 CPython 단에서 명령 코드 예측은 비활성화됩니다. +> + +
+ +*※ 계산된 Goto* +switch 문 내에서 각 case 라벨로 점프하는 대신 +goto문을 이용해서 점프하는 방식 + +
+ +*※ 명령 코드 예측 관련 코드 (Python/ceval.c)* + +``` c +#define PREDICT_ID(op) PRED_##op + +#if defined(DYNAMIC_EXECUTION_PROFILE) || USE_COMPUTED_GOTOS +#define PREDICT(op) if (0) goto PREDICT_ID(op) +#else +#define PREDICT(op) \\ + do { \\ + _Py_CODEUNIT word = *next_instr; \\ + opcode = _Py_OPCODE(word); \\ + if (opcode == op) { \\ + oparg = _Py_OPARG(word); \\ + next_instr++; \\ + goto PREDICT_ID(op); \\ + } \\ + } while(0) +#endif +``` + +- `opcode`: 다음 바이트코드 +- `op`: 예측할 바이트 코드 + +
+ +다음에 바이트 코드가 예측한 바이트와 동일하다면 +`goto`문을 통해 코드의 실행 흐름을 바꾸는 방식입니다.


## 8.6 요약 -CPython 의 실행 중, 생성되는 파이썬 객체인 PyFrameObject 의 평가 루프에 대해서 알아보았으며, 프레임이 어떻게 생성되고 소멸되는지 알아보는 장이었습니다. 코어 평가 루프는 컴파일 된 파이썬 코드 그리고 그 기반이 되는 C 확장 모듈과 라이브러리, 시스템 호출간의 인터페이스로서, 그 중요성을 잘 설명해주는 챕터였습니다. \ No newline at end of file +CPython 의 실행 중, 생성되는 파이썬 객체인 PyFrameObject 의 평가 루프에 대해서 알아보았으며, +프레임이 어떻게 생성되고 소멸되는지 알아보는 장이었습니다. + +코어 평가 루프는 컴파일 된 파이썬 코드 그리고 그 기반이 되는 C 확장 모듈과 라이브러리, + 시스템 호출간의 인터페이스로서, 그 중요성을 잘 설명해주는 챕터였습니다. \ No newline at end of file diff --git a/book/images/8_eval_loop/06_eval6.JPG b/book/images/8_eval_loop/06_eval6.JPG new file mode 100644 index 0000000000000000000000000000000000000000..be805d94ffd7e2a93f591ad4aa819430b39f8795 GIT binary patch literal 125996 zcmeFZcT`hp+dc}2B`V^`2qPe6P?({Jf=Eq36hSF*sM1BGOE*9Q0Yt>HQHCZh!4Zg| zOYbNakdh!RQUg)~1PBlyKq%+g_|E(NzH`p^&-tyh&N^$oS<6LM+{xbi+0S#|*L_{r z{XDs8q|0+y@Gu7l2hVlAtHvB02Rk`9_M06#06w`ga8n)pf%)iJ`g3sbpN0N$UN=6o z$iX4TasBFL)1dUZ;e!cwX7!hR>M`}^#Wp9ob?SU(41d+R`th&@=kIr3asR}5`SMd6 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