Programming/python(파이썬)2026. 6. 17. 15:20

python venv

먼가 설치하려는데 먼가 안되서, venv 사용 해보는 중

$ pip3 install keras mobilenet-v3 numpy tensorflow
error: externally-managed-environment

× This environment is externally managed
╰─> To install Python packages system-wide, try apt install
    python3-xyz, where xyz is the package you are trying to
    install.
    
    If you wish to install a non-Debian-packaged Python package,
    create a virtual environment using python3 -m venv path/to/venv.
    Then use path/to/venv/bin/python and path/to/venv/bin/pip. Make
    sure you have python3-full installed.
    
    If you wish to install a non-Debian packaged Python application,
    it may be easiest to use pipx install xyz, which will manage a
    virtual environment for you. Make sure you have pipx installed.
    
    See /usr/share/doc/python3.14/README.venv for more information.

note: If you believe this is a mistake, please contact your Python installation or OS distribution provider. You can override this, at the risk of breaking your Python installation or OS, by passing --break-system-packages.
hint: See PEP 668 for the detailed specification.

 

인자없이 모듈만 불러오면 당연히(?) 실행 안되고 에러가 난다.

$ python3 -m venv 
usage: python3 -m venv [-h] [--system-site-packages] [--symlinks | --copies] [--clear] [--upgrade]
                       [--without-pip] [--prompt PROMPT] [--upgrade-deps] [--without-scm-ignore-files]
                       ENV_DIR [ENV_DIR ...]
python3 -m venv: error: the following arguments are required: ENV_DIR

 

activate를 불러오고 deactivate 명령으로 종료한다.

아무생각없이 자꾸 exit 해서 터미널 닫아버리네 -_-

$ python3 -m venv venv
$ source venv/
.gitignore  bin/        include/    lib/        lib64/      pyvenv.cfg  
$ source venv/bin/activate
(venv) $ 

(venv) $ deactivate
$ 

 

대충 rootfs가 생겨난다.

$ tree venv/ -d -L 1
venv/
├── bin
├── include
├── lib
└── lib64 -> lib

 

어쩐지 찾아도 안나온다 했더니 함수로 등록해버리는 듯

$ cat venv/bin/activate
# This file must be used with "source bin/activate" *from bash*
# You cannot run it directly

deactivate () {
    # reset old environment variables
    if [ -n "${_OLD_VIRTUAL_PATH:-}" ] ; then
        PATH="${_OLD_VIRTUAL_PATH:-}"
        export PATH
        unset _OLD_VIRTUAL_PATH
    fi
    if [ -n "${_OLD_VIRTUAL_PYTHONHOME:-}" ] ; then
        PYTHONHOME="${_OLD_VIRTUAL_PYTHONHOME:-}"
        export PYTHONHOME
        unset _OLD_VIRTUAL_PYTHONHOME
    fi

    # Call hash to forget past locations. Without forgetting
    # past locations the $PATH changes we made may not be respected.
    # See "man bash" for more details. hash is usually a builtin of your shell
    hash -r 2> /dev/null

    if [ -n "${_OLD_VIRTUAL_PS1:-}" ] ; then
        PS1="${_OLD_VIRTUAL_PS1:-}"
        export PS1
        unset _OLD_VIRTUAL_PS1
    fi

    unset VIRTUAL_ENV
    unset VIRTUAL_ENV_PROMPT
    if [ ! "${1:-}" = "nondestructive" ] ; then
    # Self destruct!
        unset -f deactivate
    fi
}

 

새로 생성한 환경은 13M 정도

$ du -h -d 1 test
13M test/lib
40K test/bin
4.0K test/include
13M test

 

3개 설치했더니

pip3 install keras mobilenet-v3 numpy

 

161M 로 확 늘었다. 내려가서 보니 pip가 설치되서 그렇네.

$ du -h -d 1 venv/
161M venv/lib
128K venv/bin
4.0K venv/include
161M venv/
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Programming/python(파이썬)2026. 4. 12. 23:03

셀레니움, 파일에서 이미지 읽고 클립보드에 넣어 붙여넣기

제목이 먼가 드럽게 긴데

네이버 블로그 같은데서

로컬 파일을 읽어서 사용자가 올리듯 이미지를 원하는 위치에 붙여 넣는 방법을 고민중

 

[링크 : https://wikidocs.net/236864] pyperclip - 클립보드 라이브러리

[링크 : https://github.com/asweigart/pyperclip]

[링크 : https://pypi.org/project/pyperclip/]

 

[링크 : https://wikidocs.net/85581] pyautogui - 마우스 자동화

[링크 : https://github.com/asweigart/pyautogui]

[링크 : https://pypi.org/project/PyAutoGUI/]

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Programming/python(파이썬)2025. 10. 11. 18:01

python switch-case -> match-case

대충~ 3.10 부터 추가되었다는 이야기

 

def http_error(status):
    match status:
        case 400:
            return "Bad request"
        case 404:
            return "Not found"
        case 418:
            return "I'm a teapot"
        case _:
            return "Something's wrong with the internet"
Note the last block: the “variable name” _ acts as a wildcard and never fails to match. If no case matches, none of the branches is executed.

You can combine several literals in a single pattern using | (“or”):

case 401 | 403 | 404:
    return "Not allowed"

class Point:
    x: int
    y: int

def where_is(point):
    match point:
        case Point(x=0, y=0):
            print("Origin")
        case Point(x=0, y=y):
            print(f"Y={y}")
        case Point(x=x, y=0):
            print(f"X={x}")
        case Point():
            print("Somewhere else")
        case _:
            print("Not a point")

[링크 : https://docs.python.org/ko/3.10/tutorial/controlflow.html#match-statements]

[링크 : https://okeybox.tistory.com/395]

[링크 : https://leapcell.io/blog/ko/python-eseo-switch-muneul-jakseonghaneun-bangbeop-2025-switch-case-yeeje]

[링크 : https://www.bangseongbeom.com/python-switch-case]

 

PEP - Program Enhance Proposal

[링크 : https://wikidocs.net/7896]

 

2020년에 작성되었고, 3.10 버전에 추가됨.

PEP 636 – Structural Pattern Matching: Tutorial
Author: Daniel F Moisset <dfmoisset at gmail.com>
Sponsor: Guido van Rossum <guido at python.org>
BDFL-Delegate:
Discussions-To: Python-Dev list
Status: Final
Type: Informational
Created: 12-Sep-2020
Python-Version: 3.10
Post-History: 22-Oct-2020, 08-Feb-2021
Resolution: Python-Committers message

[링크 : https://peps.python.org/pep-0636/]

 

아니 본인이 2006년에 썼다가 reject 했어?

PEP 3103 – A Switch/Case Statement
Author:Guido van Rossum <guido at python.org>
Status:Rejected
Type:Standards Track
Created:25-Jun-2006
Python-Version:3.0
Post-History:26-Jun-2006

[링크 : https://peps.python.org/pep-3103/]

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python __name__

def main() 이 없으니까

독립적으로 실행중인지, import 되어 다른데서 실행을 하는건지 알 필요가 있을때

아래의 문구를 통해서 실행하거나 라이브러리로 작동시키거나 할 수 있다.

if __name__ == "__main__":
    print("run!")

 

[링크 : https://dev-jy.tistory.com/14]

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Programming/python(파이썬)2025. 9. 29. 10:57

python flask를 이용한 static web + rest api server 구현

gpt와 검색을 버무려서~

 

pip로 대~~~충 flask 설치하고

Flask 에 static_url_path와 static_folder 를 설정해서 정적으로 서빙할 경로를 지정한다.

template_folder는 template engine를 위한 경로 같긴한데, 지금은 그걸 하려는게 아니니 패스~ 하고

 

/ 로 요청이 들어오면 index.html을 던지도록 라우터 하나 설정하고

나머지는 자동으로 static 경로 하위에서 제공

그리고 /api 쪽은 별도로 라우터 지정해서 2개의 api를 생성해준다.

 

/app.py

from flask import Flask, jsonify, render_template

app = Flask(__name__,
            static_url_path='', 
            static_folder='static',
            template_folder='templates')

@app.route('/')
def serve_index():
    return app.send_static_file('index.html')

# REST API 라우트
@app.route('/api/hello')
def api_hello():
    return jsonify({"message": "Hello, this is a REST API response!"})

# 또 다른 REST API
@app.route('/api/sum/<int:a>/<int:b>')
def api_sum(a, b):
    return jsonify({"a": a, "b": b, "sum": a + b})


if __name__ == "__main__":
    # 디버그 모드 실행
    app.run(debug=True)

 

/static/index.html

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>Flask Static + REST API</title>
    <link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
</head>
<body>
    <h1>Hello Flask</h1>
    <p>이 페이지는 Flask가 제공하는 정적 웹입니다.</p>

    <button onclick="callApi()">API 호출</button>
    <p id="result"></p>

    <script>
        async function callApi() {
            const res = await fetch("/api/hello");
            const data = await res.json();
            document.getElementById("result").innerText = data.message;
        }
    </script>
</body>
</html>

 

/static/test.html

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>Flask Static + REST API</title>
    <link rel="stylesheet" href="{{ url_for('static', filename='style.css') }}">
</head>
<body>
    <h1>this is test</h1>
</body>
</html>

 

/static/style.css

body {
    font-family: sans-serif;
    background: #f0f0f0;
    padding: 20px;
}
h1 {
    color: darkblue;
}

 

[링크 : https://stackoverflow.com/questions/20646822/how-to-serve-static-files-in-flask]

 

 

$ python3 app.py
 * Serving Flask app 'app'
 * Debug mode: on
WARNING: This is a development server. Do not use it in a production deployment. Use a production WSGI server instead.
 * Running on http://127.0.0.1:5000
Press CTRL+C to quit
 * Restarting with stat
 * Debugger is active!
 * Debugger PIN: 997-788-229

 

웹에서 접속하면 아래처럼 뜨는데

보니 template 엔진을 이용해서 치환하도록 해놨어서 css가 안 읽혔군

127.0.0.1 - - [29/Sep/2025 10:48:26] "GET / HTTP/1.1" 304 -
127.0.0.1 - - [29/Sep/2025 10:48:26] "GET /{{%20url_for('static',%20filename='style.css')%20}} HTTP/1.1" 404 -

 

그럼 template 안쓸꺼니 수정해보자

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>Flask Static + REST API</title>
    <link rel="stylesheet" href="style.css">
</head>
<body>
    <h1>Hello Flask</h1>
    <p>이 페이지는 Flask가 제공하는 정적 웹입니다.</p>

    <button onclick="callApi()">API 호출</button>
    <p id="result"></p>

    <script>
        async function callApi() {
            const res = await fetch("/api/hello");
            const data = await res.json();
            document.getElementById("result").innerText = data.message;
        }
    </script>
</body>
</html>

 

<!DOCTYPE html>
<html>
<head>
    <meta charset="utf-8">
    <title>Flask Static + REST API</title>
    <link rel="stylesheet" href="style.css">
</head>
<body>
    <h1>this is test</h1>
</body>
</html>

 

이쁘게 잘나온다. 그런데 처음 접속하면 static web이라도 제법 느린데 캐싱이 안되나?

 

localhost:5000/

localhost:5000/index.html

localhost:5000/test.html

localhost:5000/api/hello

localhost:5000/api/sum/2/3

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Programming/python(파이썬)2025. 8. 28. 10:19

python simsimd

python 자체적으로 auto vectorization을 지원하는지 모르겠고

-O2 밖에 안되서 어떻게 될지 모르겠지만 혹시나 cython 이라던가 이쪽에서 지원하지 않을가 해서 검색해보니

먼가 하나 나와서 테스트 중

 

설치는 간단하고

# pip3 install simsimd
Collecting simsimd
  Downloading simsimd-6.5.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl.metadata (70 kB)
     ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 70.5/70.5 kB 758.3 kB/s eta 0:00:00
Downloading simsimd-6.5.1-cp312-cp312-manylinux2014_aarch64.manylinux_2_17_aarch64.manylinux_2_28_aarch64.whl (563 kB)
   ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 563.2/563.2 kB 4.6 MB/s eta 0:00:00
Installing collected packages: simsimd
Successfully installed simsimd-6.5.1
WARNING: Running pip as the 'root' user can result in broken permissions and conflicting behaviour with the system package manager. It is recommended to use a virtual environment instead: https://pip.pypa.io/warnings/venv

[링크 : https://pypi.org/project/simsimd/]

 

확인도 간단한데

그나저나.. arm aarch64 에서는 neon이 활성화 되는데

10세대 모바일 프로세서에서는 왜.. haswell 이라고 하나만 활성화 될까? skylake 정도는 활성화 되어야 하는거 아닌가?

imx8mp aarch64 i7-10510U x64
>>> import simsimd
>>> print(simsimd.get_capabilities())
{'serial': True, 'neon': True, 'sve': False, 'neon_f16': False, 'sve_f16': False, 'neon_bf16': False, 'sve_bf16': False, 'neon_i8': False, 'sve_i8': False, 'haswell': False, 'skylake': False, 'ice': False, 'genoa': False, 'sapphire': False, 'turin': False, 'sierra': False}		 >>> import simsimd
>>> print(simsimd.get_capabilities())
{'serial': True, 'neon': False, 'sve': False, 'neon_f16': False, 'sve_f16': False, 'neon_bf16': False, 'sve_bf16': False, 'neon_i8': False, 'sve_i8': False, 'haswell': True, 'skylake': False, 'ice': False, 'genoa': False, 'sapphire': False, 'turin': False, 'sierra': False}
Features : fp asimd evtstrm aes pmull sha1 sha2 crc32 cpuid flags : fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf pni pclmulqdq dtes64 monitor ds_cpl vmx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid mpx rdseed adx smap clflushopt intel_pt xsaveopt xsavec xgetbv1 xsaves dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp vnmi md_clear flush_l1d arch_capabilities
vmx flags : vnmi preemption_timer invvpid ept_x_only ept_ad ept_1gb flexpriority tsc_offset vtpr mtf vapic ept vpid unrestricted_guest ple pml ept_mode_based_exec
bugs : spectre_v1 spectre_v2 spec_store_bypass swapgs itlb_multihit srbds mmio_stale_data retbleed eibrs_pbrsb gds bhi

 

그런데 dot 이랑 cosine이랑 무슨 차이지 계산한 값이 많이 다른 느낌인데..

simsimd.cos()는 1 에서 빼줘야 맞다.

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Programming/python(파이썬)2025. 8. 26. 11:51

python 원하는 버전 설치 및 연결하기

ppa 추가해서 원하는 버전 설치하고, update-alternatives로 연결하면 된다.

 

sudo apt install software-properties-common
sudo add-apt-repository ppa:deadsnakes/ppa
sudo apt update
sudo apt install python3.7

[링크 : https://askubuntu.com/questions/1251318/how-do-you-install-python3-7-to-ubuntu-20-04]

 

sudo update-alternatives --install /usr/bin/python3 python3 /usr/bin/python3.9 1

[링크 : https://sosodev.tistory.com/entry/Python-pyenv-특정-버전을-설치하기-Ubuntu]

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Posted by 구차니
Programming/python(파이썬)2025. 8. 13. 21:03

pip 패키지 완전 삭제하기

패키지를 삭제했는데 바로 재설치가 되서

캐시되었다는 말을 검색해보니 cache purge를 통해 완전히 날리고 설치할수 있다고 한다.

 

해보니 확실히 처음부터 하긴 한다.

$ time CMAKE_BUILD_PARALLEL_LEVEL=3 pip3 uninstall --break-system-packages -v dlibFound existing installation: dlib 20.0.0
Uninstalling dlib-20.0.0:
  Would remove:
    /home/minimonk/.local/lib/python3.12/site-packages/_dlib_pybind11.cpython-312-aarch64-linux-gnu.so
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/INSTALLER
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/METADATA
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/RECORD
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/WHEEL
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/licenses/LICENSE.txt
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/top_level.txt
    /home/minimonk/.local/lib/python3.12/site-packages/dlib/__init__.py
    /home/minimonk/.local/lib/python3.12/site-packages/dlib/__pycache__/__init__.cpython-312.pyc
  Will actually move:
    /home/minimonk/.local/lib/python3.12/site-packages/_dlib_pybind11.cpython-312-aarch64-linux-gnu.so
    /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/
    /home/minimonk/.local/lib/python3.12/site-packages/dlib/
Proceed (Y/n)? y
  Removing file or directory /home/minimonk/.local/lib/python3.12/site-packages/_dlib_pybind11.cpython-312-aarch64-linux-gnu.so
  Removing file or directory /home/minimonk/.local/lib/python3.12/site-packages/dlib-20.0.0.dist-info/
  Removing file or directory /home/minimonk/.local/lib/python3.12/site-packages/dlib/
  Successfully uninstalled dlib-20.0.0

real    0m4.584s
user    0m2.585s
sys     0m0.381s

$ time CMAKE_BUILD_PARALLEL_LEVEL=3 pip3 install --break-system-packages -v dlib
Using pip 24.0 from /usr/lib/python3/dist-packages/pip (python 3.12)
Defaulting to user installation because normal site-packages is not writeable
Collecting dlib
  Using cached dlib-20.0.0-cp312-cp312-linux_aarch64.whl
Installing collected packages: dlib
Successfully installed dlib-20.0.0

real    0m4.876s
user    0m4.363s
sys     0m0.347s


$ pip3 cache purge
Files removed: 54

 

[링크 : https://ufris.tistory.com/61]

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Programming/python(파이썬)2025. 8. 13. 20:02

pip install cmake build multi core support

pip로 설치되는 녀석중 빌드가 필요한 녀석이 있는데

dlib가 원인을 알수 없으나(?) odroid-c2 / armbian 에서 1코어만 빌드하지만

nxp imx8mp evk 에서는 3코어로 빌드해서 어떤 옵션을 주어야 되는지

웬만한건 다 검색하고 해봐도 안되서 cmake 환경변수로 찾아보니 먼가 나왔고 시도하니 된다!

 

$ pip3 install  --break-system-packages -v dlib
  Invoking CMake build: 'cmake --build . --config Release -- -j1'
  [  1%] Building CXX object dlib_build/CMakeFiles/dlib.dir/base64/base64_kernel_1.cpp.o

 

$ CMAKE_BUILD_PARALLEL_LEVEL=4 pip3 install  --break-system-packages -v dlib
  Invoking CMake build: 'cmake --build . --config Release -- -j4'
  [  3%] Building CXX object dlib_build/CMakeFiles/dlib.dir/bit_stream/bit_stream_kernel_1.cpp.o
  [  3%] Building CXX object dlib_build/CMakeFiles/dlib.dir/bigint/bigint_kernel_2.cpp.o
  [  2%] Building CXX object dlib_build/CMakeFiles/dlib.dir/bigint/bigint_kernel_1.cpp.o

[링크 : https://cmake.org/cmake/help/latest/envvar/CMAKE_BUILD_PARALLEL_LEVEL.html#cmake-build-parallel-level]

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python 빌드 정보

문득 python을 빌드할때 어떤 옵션을 주고 했을까 궁금해서 찾아보는 중

import sysconfig
print(sysconfig.get_config_vars())

[링크 : https://stackoverflow.com/questions/10192758/how-to-get-the-list-of-options-that-python-was-compiled-with]

 

online python object beautifier로 이쁘게~

ubuntu 22.04 LTS desktop 64bit / Python 3.10.12

{
    "prefix": "/usr",
    "exec_prefix": "/usr",
    "py_version": "3.10.12",
    "py_version_short": "3.10",
    "py_version_nodot": "310",
    "installed_base": "/usr",
    "base": "/usr",
    "installed_platbase": "/usr",
    "platbase": "/usr",
    "projectbase": "/usr/bin",
    "platlibdir": "lib",
    "abiflags": "",
    "py_version_nodot_plat": "",
    "ABIFLAGS": "",
    "AC_APPLE_UNIVERSAL_BUILD": 0,
    "AIX_BUILDDATE": 0,
    "AIX_GENUINE_CPLUSPLUS": 0,
    "ALIGNOF_LONG": 8,
    "ALIGNOF_SIZE_T": 8,
    "ALT_SOABI": 0,
    "ANDROID_API_LEVEL": 0,
    "AR": "x86_64-linux-gnu-gcc-ar",
    "ARFLAGS": "rcs",
    "BASECFLAGS": "-Wno-unused-result -Wsign-compare",
    "BASECPPFLAGS": "-IObjects -IInclude -IPython",
    "BASEMODLIBS": "",
    "BINDIR": "/usr/bin",
    "BINLIBDEST": "/usr/lib/x86_64-linux-gnu/python3.10",
    "BLDLIBRARY": "-lpython3.10",
    "BLDSHARED": "x86_64-linux-gnu-gcc -shared -Wl,-O1 -Wl,-Bsymbolic-functions -Wl,-Bsymbolic-functions      -g -fwrapv -O2   ",
    "BUILDEXE": "",
    "BUILDPYTHON": "python",
    "BUILD_GNU_TYPE": "x86_64-pc-linux-gnu",
    "BYTESTR_DEPS": "\\",
    "CC": "x86_64-linux-gnu-gcc",
    "CCSHARED": "-fPIC",
    "CFLAGS": "-Wno-unused-result -Wsign-compare -DNDEBUG -g -fwrapv -O2 -Wall -g       -fstack-protector-strong -Wformat -Werror=format-security  -g -fwrapv -O2   ",
    "CFLAGSFORSHARED": "-fPIC",
    "CFLAGS_ALIASING": "",
    "CFLAGS_NODIST": "",
    "CONFIGFILES": "configure configure.ac acconfig.h pyconfig.h.in Makefile.pre.in",
    "CONFIGURE_CFLAGS": "-g       -fstack-protector-strong -Wformat -Werror=format-security",
    "CONFIGURE_CFLAGS_NODIST": "-std=c99 -Wextra -Wno-unused-result -Wno-unused-parameter -Wno-missing-field-initializers -Wstrict-prototypes -Werror=implicit-function-declaration -fvisibility=hidden",
    "CONFIGURE_CPPFLAGS": "-Wdate-time -D_FORTIFY_SOURCE=2",
    "CONFIGURE_LDFLAGS": "-Wl,-Bsymbolic-functions      -g -fwrapv -O2   ",
    "CONFIGURE_LDFLAGS_NODIST": "",
    "CONFIG_ARGS": "'--enable-shared' '--prefix=/usr' '--libdir=/usr/lib/x86_64-linux-gnu' '--enable-ipv6' '--enable-loadable-sqlite-extensions' '--with-dbmliborder=bdb:gdbm' '--with-computed-gotos' '--without-ensurepip' '--with-system-expat' '--with-dtrace' '--with-system-libmpdec' '--with-wheel-pkg-dir=/usr/share/python-wheels/' 'MKDIR_P=/bin/mkdir -p' '--with-system-ffi' 'CC=x86_64-linux-gnu-gcc' 'CFLAGS=-g       -fstack-protector-strong -Wformat -Werror=format-security ' 'LDFLAGS=-Wl,-Bsymbolic-functions      -g -fwrapv -O2   ' 'CPPFLAGS=-Wdate-time -D_FORTIFY_SOURCE=2'",
    "CONFINCLUDEDIR": "/usr/include",
    "CONFINCLUDEPY": "/usr/include/python3.10",
    "COREPYTHONPATH": "",
    "COVERAGE_INFO": "/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared/coverage.info",
    "COVERAGE_REPORT": "/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared/lcov-report",
    "COVERAGE_REPORT_OPTIONS": '--no-branch-coverage --title "CPython lcov report"',
    "CPPFLAGS": "-IObjects -IInclude -IPython -I. -I../Include -Wdate-time -D_FORTIFY_SOURCE=2",
    "CXX": "x86_64-linux-gnu-g++",
    "DESTDIRS": "/usr /usr/lib/x86_64-linux-gnu /usr/lib/x86_64-linux-gnu/python3.10 /usr/lib/python3.10/lib-dynload",
    "DESTLIB": "/usr/lib/python3.10",
    "DESTPATH": "",
    "DESTSHARED": "/usr/lib/python3.10/lib-dynload",
    "DFLAGS": "",
    "DIRMODE": 755,
    "DIST": "README.rst ChangeLog configure configure.ac acconfig.h pyconfig.h.in Makefile.pre.in Include Lib Misc Ext-dummy",
    "DISTDIRS": "Include Lib Misc Ext-dummy",
    "DISTFILES": "README.rst ChangeLog configure configure.ac acconfig.h pyconfig.h.in Makefile.pre.in",
    "DLINCLDIR": ".",
    "DLLLIBRARY": "",
    "DOUBLE_IS_ARM_MIXED_ENDIAN_IEEE754": 0,
    "DOUBLE_IS_BIG_ENDIAN_IEEE754": 0,
    "DOUBLE_IS_LITTLE_ENDIAN_IEEE754": 1,
    "DTRACE": "/usr/bin/dtrace",
    "DTRACE_DEPS": "\\",
    "DTRACE_HEADERS": "Include/pydtrace_probes.h",
    "DTRACE_OBJS": "Python/pydtrace.o",
    "DYNLOADFILE": "dynload_shlib.o",
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    "EXT_SUFFIX": ".cpython-310-x86_64-linux-gnu.so",
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    "SHLIB_SUFFIX": ".so",
    "SHM_NEEDS_LIBRT": 0,
    "SIGNED_RIGHT_SHIFT_ZERO_FILLS": 0,
    "SITEPATH": "",
    "SIZEOF_DOUBLE": 8,
    "SIZEOF_FLOAT": 4,
    "SIZEOF_FPOS_T": 16,
    "SIZEOF_INT": 4,
    "SIZEOF_LONG": 8,
    "SIZEOF_LONG_DOUBLE": 16,
    "SIZEOF_LONG_LONG": 8,
    "SIZEOF_OFF_T": 8,
    "SIZEOF_PID_T": 4,
    "SIZEOF_PTHREAD_KEY_T": 4,
    "SIZEOF_PTHREAD_T": 8,
    "SIZEOF_SHORT": 2,
    "SIZEOF_SIZE_T": 8,
    "SIZEOF_TIME_T": 8,
    "SIZEOF_UINTPTR_T": 8,
    "SIZEOF_VOID_P": 8,
    "SIZEOF_WCHAR_T": 4,
    "SIZEOF__BOOL": 1,
    "SOABI": "cpython-310-x86_64-linux-gnu",
    "SRCDIRS": "Parser Objects Python Modules Modules/_io Programs",
    "SRC_GDB_HOOKS": "../Tools/gdb/libpython.py",
    "STATIC_LIBPYTHON": 1,
    "STDC_HEADERS": 1,
    "STRICT_SYSV_CURSES": "/* Don't use ncurses extensions */",
    "STRIPFLAG": "-s",
    "SUBDIRS": "",
    "SUBDIRSTOO": "Include Lib Misc",
    "SYSLIBS": "-lm",
    "SYS_SELECT_WITH_SYS_TIME": 1,
    "TCLTK_INCLUDES": "-I/usr/include/tcl8.6",
    "TCLTK_LIBS": "-ltk8.6 -ltkstub8.6 -ltcl8.6 -ltclstub8.6",
    "TESTOPTS": "",
    "TESTPATH": "",
    "TESTPYTHON": "LD_LIBRARY_PATH=/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared ./python",
    "TESTPYTHONOPTS": "",
    "TESTRUNNER": "LD_LIBRARY_PATH=/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared ./python ../Tools/scripts/run_tests.py",
    "TESTSUBDIRS": "ctypes/test \\",
    "TESTTIMEOUT": 1200,
    "TEST_MODULES": "yes",
    "THREAD_STACK_SIZE": 0,
    "TIMEMODULE_LIB": 0,
    "TIME_WITH_SYS_TIME": 1,
    "TM_IN_SYS_TIME": 0,
    "TZPATH": "/usr/share/zoneinfo:/usr/lib/zoneinfo:/usr/share/lib/zoneinfo:/etc/zoneinfo",
    "UNICODE_DEPS": "\\",
    "UNIVERSALSDK": "",
    "UPDATE_FILE": "../Tools/scripts/update_file.py",
    "USE_COMPUTED_GOTOS": 1,
    "VERSION": "3.10",
    "VPATH": "..",
    "WHEEL_PKG_DIR": "/usr/share/python-wheels/",
    "WINDOW_HAS_FLAGS": 1,
    "WITH_DECIMAL_CONTEXTVAR": 1,
    "WITH_DOC_STRINGS": 1,
    "WITH_DTRACE": 1,
    "WITH_DYLD": 0,
    "WITH_EDITLINE": 0,
    "WITH_LIBINTL": 0,
    "WITH_NEXT_FRAMEWORK": 0,
    "WITH_PYMALLOC": 1,
    "WITH_VALGRIND": 0,
    "X87_DOUBLE_ROUNDING": 0,
    "XMLLIBSUBDIRS": "xml xml/dom xml/etree xml/parsers xml/sax",
    "abs_builddir": "/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared",
    "abs_srcdir": "/build/python3.10-rtDYKr/python3.10-3.10.12/build-shared/..",
    "datarootdir": "/usr/share",
    "srcdir": "/usr/lib/python3.10/config-3.10-x86_64-linux-gnu",
    "SO": ".cpython-310-x86_64-linux-gnu.so",
    "userbase": "/home/falinux/.local",
    "multiarchsubdir": "/x86_64-linux-gnu",
}

 

 대충검색해봐도 아키텍쳐 설정은 없는데 SSE, MMX, AVX 관련 설정은 없는 것 같고

-march=cpu-type
Generate instructions for the machine type cpu-type. In contrast to -mtune=cpu-type, which merely tunes the generated code for the specified cpu-type, -march=cpu-type allows GCC to generate code that may not run at all on processors other than the one indicated. Specifying -march=cpu-type implies -mtune=cpu-type, except where noted otherwise.

The choices for cpu-type are:

‘native’
This selects the CPU to generate code for at compilation time by determining the processor type of the compiling machine. Using -march=native enables all instruction subsets supported by the local machine (hence the result might not run on different machines). Using -mtune=native produces code optimized for the local machine under the constraints of the selected instruction set.

‘x86-64’
A generic CPU with 64-bit extensions, MMX, SSE, SSE2, and FXSR instruction set support.

[링크 : https://gcc.gnu.org/onlinedocs/gcc/x86-Options.html]

 

그렇다고 해서 -O2 까지만 보이니 vectorization은 지원안할꺼 같고...

Vectorization in GCC is enabled at -O3. That's why at -O0, you see only the ordinary scalar SSE2 instructions (movsd, addsd, etc). 

[링크 : https://stackoverflow.com/questions/7919304/gcc-sse-code-optimization]

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