permissions:
  contents: read

jobs:
  docker:
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version: [python3.9, python3.10, python3.11, python3.12]
    steps:
      - name: Delete unnecessary tools folder
        run: rm -rf /opt/hostedtoolcache
      -
        name: Checkout

  exit 2
fi

# Quick install checks
venv=$(mktemp -d)
"python${TFCI_PYTHON_VERSION}" -m venv "$venv"
python="$venv/bin/python3"
# TODO(b/366266944) Remove the check after tf docker image upgrade for NumPy 2
# and numpy 1 support is dropped b/361369076.
if [[ "$TFCI_WHL_NUMPY_VERSION" == 1 ]]; then
  "$python" -m pip install numpy==1.26.0
fi
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS

# can specify whichever target you want.
test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3"
test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages"
test:pip_venv --python_path="/bazel_pip/bin/python3"
test:pip_venv --define=no_tensorflow_py_deps=true
test:pip --config=pip_venv
# Yes, we don't exclude the gpu tests on pip for some reason.

### Nowoczesny Python

Wszystko opiera się na standardowych deklaracjach typu **Python 3.8** (dzięki Pydantic). Brak nowej składni do uczenia. Po prostu standardowy, współczesny Python.

Jeśli potrzebujesz szybkiego przypomnienia jak używać deklaracji typów w Pythonie (nawet jeśli nie używasz FastAPI), sprawdź krótki samouczek: [Python Types](python-types.md){.internal-link target=_blank}.

# can specify whichever target you want.
test:pip_venv --action_env PYTHON_BIN_PATH="/bazel_pip/bin/python3"
test:pip_venv --action_env PYTHON_LIB_PATH="/bazel_pip/lib/python3/site-packages"
test:pip_venv --python_path="/bazel_pip/bin/python3"
test:pip_venv --define=no_tensorflow_py_deps=true
test:pip --config=pip_venv
# Yes, we don't exclude the gpu tests on pip for some reason.

#!/usr/bin/env bash

set -e
set -o pipefail

if [ -z "$PYTHON_BIN_PATH" ]; then
  PYTHON_BIN_PATH=$(which python3 || which python || true)
fi

# Set all env variables
CONFIGURE_DIR=$(dirname "$0")
"$PYTHON_BIN_PATH" "${CONFIGURE_DIR}/configure.py" "$@"

다음과 같이 실행하면

<div class="termy">

```console
$ python myapp.py
```

</div>

Python에 의해 자동으로 생성된 파일의 내부 변수 `__name__`은 문자열 `"__main__"`을 값으로 갖게 됩니다.

따라서 섹션

```Python
    uvicorn.run(app, host="0.0.0.0", port=8000)
```

이 실행됩니다.

---

해당 모듈(파일)을 가져오면 이런 일이 발생하지 않습니다

그래서 다음과 같은 다른 파일 `importer.py`가 있는 경우:

```Python
from myapp import app

# Some more code
```

* <a href="https://github.com/Kludex/python-multipart" target="_blank"><code>python-multipart</code></a> - Wymagane jeżelich chcesz wsparcie <abbr title="przetwarzania stringa którzy przychodzi z żądaniem HTTP na dane używane przez Pythona">"parsowania"</abbr> formularzy, używając `request.form()`.

# See https://pre-commit.com for more information
# See https://pre-commit.com/hooks.html for more hooks
default_language_version:
    python: python3.10
repos:
-   repo: https://github.com/pre-commit/pre-commit-hooks
    rev: v5.0.0
    hooks:
    -   id: check-added-large-files
    -   id: check-toml
    -   id: check-yaml
        args:
        -   --unsafe
    -   id: end-of-file-fixer
    -   id: trailing-whitespace

# 
# This will create a venv with that wheel file installed in it, and a symlink
# in ./venv_and_symlink_name/tensorflow to ./tensorflow. We use this for the
# "pip" tests.

python -m venv /$1
mkdir -p $1
rm -f ./$1/tensorflow
ln -s $(ls /$1/lib) /$1/lib/python3
ln -s ../tensorflow $1/tensorflow
# extglob is necessary for @(a|b) pattern matching
# see "extglob" in the bash manual page ($ man bash)
bash -O extglob -c "/$1/bin/pip install $2"