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ci/official/containers/ml_build/setup.python.sh
# # setup.python.sh: Install a specific Python version and packages for it. # Usage: setup.python.sh <pyversion> <requirements.txt> set -xe source ~/.bashrc VERSION=$1 REQUIREMENTS=$2 # Install Python packages for this container's version if [[ ${VERSION} == "python3.13-nogil" || ${VERSION} == "python3.14-nogil" ]]; then cat >pythons.txt <<EOF $VERSION EOF
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Aug 01 02:44:57 UTC 2025 - 2.8K bytes - Viewed (0) -
ci/official/containers/ml_build_arm64/setup.python.sh
wget https://www.python.org/ftp/python/3.14.0/Python-3.14.0rc1.tar.xz tar -xf Python-3.14.0rc1.tar.xz fi pushd Python-3.14.0rc1 mkdir -p /python314-0rc1-nogil CC=clang-18 CXX=clang++-18 ./configure --prefix /python314-0rc1-nogil --disable-gil --with-ensurepip=install make -j$(nproc) make install -j$(nproc) ln -s /python314-0rc1-nogil/bin/python3 /usr/bin/python3.14-nogil popd else
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Aug 01 19:14:43 UTC 2025 - 3.8K bytes - Viewed (0) -
docs/tr/docs/python-types.md
Ancak, ne yazık ki, yararlı hiçbir şey elde edemediniz: <img src="/img/python-types/image01.png"> ### Tipleri ekle Önceki sürümden sadece bir satırı değiştirelim. Tam olarak bu parçayı, işlevin parametrelerini değiştireceğiz: ```Python first_name, last_name ``` ve bu hale getireceğiz: ```Python first_name: str, last_name: str ``` Bu kadar.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 9.5K bytes - Viewed (0) -
ci/official/containers/ml_build/Dockerfile
# Setup Python COPY setup.python.sh /setup.python.sh COPY builder.requirements.txt /builder.requirements.txt RUN /setup.python.sh python3.9 /builder.requirements.txt RUN /setup.python.sh python3.10 /builder.requirements.txt RUN /setup.python.sh python3.11 /builder.requirements.txt RUN /setup.python.sh python3.13 /builder.requirements.txt RUN /setup.python.sh python3.13-nogil /builder.requirements.txt
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Aug 01 02:44:57 UTC 2025 - 4.9K bytes - Viewed (0) -
ci/official/utilities/rename_and_verify_wheels.sh
venv_dir=$(mktemp -d) if [[ $(uname -s) != MSYS_NT* ]]; then "python${TFCI_PYTHON_VERSION}" -m venv "$venv_dir" python="$venv_dir/bin/python3" else # When using the Linux-like path, venv creation quietly fails, which is # why it's converted here. venv_dir=$(cygpath -m $venv_dir) "/c/python${TFCI_PYTHON_VERSION}/python.exe" -m venv "$venv_dir" python="$venv_dir/Scripts/python.exe" fi
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Apr 25 00:22:38 UTC 2025 - 4.7K bytes - Viewed (0) -
ci/official/containers/ml_build_arm64/Dockerfile
RUN /setup.python.sh python3.9 requirements.txt RUN /setup.python.sh python3.10 requirements.txt RUN /setup.python.sh python3.11 requirements.txt RUN /setup.python.sh python3.12 requirements.txt RUN /setup.python.sh python3.13 requirements.txt # python3.13-nogil is a free-threaded build of python3.13. RUN /setup.python.sh python3.13-nogil requirements.txt RUN /setup.python.sh python3.14 requirements.txt
Registered: Tue Sep 09 12:39:10 UTC 2025 - Last Modified: Fri Aug 01 02:44:57 UTC 2025 - 3.6K bytes - Viewed (0) -
docs/ko/docs/tutorial/debugging.md
자세한 내용은 <a href="https://docs.python.org/3/library/__main__.html" class="external-link" target="_blank">공식 Python 문서</a>를 확인하세요 /// ## 디버거로 코드 실행 코드에서 직접 Uvicorn 서버를 실행하고 있기 때문에 디버거에서 직접 Python 프로그램(FastAPI 애플리케이션)을 호출할 수 있습니다. --- 예를 들어 Visual Studio Code에서 다음을 수행할 수 있습니다. * "Debug" 패널로 이동합니다. * "Add configuration...". * "Python"을 선택합니다. * "`Python: Current File (Integrated Terminal)`" 옵션으로 디버거를 실행합니다.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 2.7K bytes - Viewed (0) -
docs/ko/docs/tutorial/extra-models.md
따라서, 다음과 같이 Pydantic 객체 `user_in`을 생성할 수 있습니다: ```Python user_in = UserIn(username="john", password="secret", email="******@****.***") ``` 그 다음, 다음과 같이 호출합니다: ```Python user_dict = user_in.dict() ``` 이제 변수 `user_dict`에 데이터가 포함된 `dict`를 가지게 됩니다(이는 Pydantic 모델 객체가 아닌 `dict`입니다). 그리고 다음과 같이 호출하면: ```Python print(user_dict) ``` Python의 `dict`가 다음과 같이 출력됩니다: ```Python {
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Fri May 30 13:38:33 UTC 2025 - 8.4K bytes - Viewed (0) -
docs/de/docs/tutorial/body-nested-models.md
* Wenn Sie eine Python-Version kleiner als 3.9 verwenden, importieren Sie das Äquivalent zum entsprechenden Typ vom `typing`-Modul * Überreichen Sie den/die inneren Typ(en) von eckigen Klammern umschlossen, `[` und `]`, als „Typ-Parameter“ In Python 3.9 wäre das: ```Python my_list: list[str] ``` Und in Python-Versionen vor 3.9: ```Python from typing import List my_list: List[str] ```
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Mon Nov 18 02:25:44 UTC 2024 - 7.8K bytes - Viewed (0) -
docs/en/docs/environment-variables.md
``` </div> //// ## Read env vars in Python { #read-env-vars-in-python } You could also create environment variables **outside** of Python, in the terminal (or with any other method), and then **read them in Python**. For example you could have a file `main.py` with: ```Python hl_lines="3" import os name = os.getenv("MY_NAME", "World") print(f"Hello {name} from Python") ``` /// tip
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 8.1K bytes - Viewed (0)