echo '(search for TFCI_WHL_SIZE_LIMIT to change it)'
  ls -sh *.whl
  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

///

//// tab | `venv`

To create a virtual environment, you can use the `venv` module that comes with Python.

<div class="termy">

```console
$ python -m venv .venv
```

</div>

/// details | What that command means

* `python`: use the program called `python`
* `-m`: call a module as a script, we'll tell it which module next

add-apt-repository ppa:deadsnakes/ppa
# Install Python packages for this container's version
if [[ ${VERSION} == "python3.13" ]]; then
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF
else
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF
fi
/setup.packages.sh pythons.txt

# Re-link pyconfig.h from aarch64-linux-gnu into the devtoolset directory
# for any Python version present

cat README.md | grep -v 'project website' > docs/index.md
cp CHANGELOG.md docs/changelogs/changelog.md
cp CONTRIBUTING.md docs/contribute/contributing.md

# Build the site and push the new files up to GitHub
python3 -m venv venv
source venv/bin/activate
pip install mkdocs-material mkdocs-redirects
mkdocs gh-deploy

# Restore Javadocs from 1.x, 2.x, and 3.x.
git checkout gh-pages
git cherry-pick bb229b9dcc9a21a73edbf8d936bea88f52e0a3ff

# the venv and the venv is active when those tests run. The venv gets cleaned
# up in teardown_file() above.
@test "Wheel is installable" {
    python3 -m venv /tf/venv
    source /tf/venv/bin/activate
    python3 -m pip install --upgrade setuptools wheel
    python3 -m pip install "$TF_WHEEL"
}

@test "TensorFlow is importable" {
    source /tf/venv/bin/activate

* `venv`: usa o módulo chamado `venv` que normalmente vem instalado com o Python
* `.venv`: cria o ambiente virtual no novo diretório `.venv`

///

////

//// tab | `uv`

Se você tiver o <a href="https://github.com/astral-sh/uv" class="external-link" target="_blank">`uv`</a> instalado, poderá usá-lo para criar um ambiente virtual.

<div class="termy">

```console
$ uv venv
```

</div>

# Jupyter Notebook
.ipynb_checkpoints

# pyenv
.python-version

# celery beat schedule file
celerybeat-schedule

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy

REQUIREMENTS=$2

# Install Python packages for this container's version
if [[ ${VERSION} == "python3.13" ]]; then
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
EOF
else
  cat >pythons.txt <<EOF
$VERSION
$VERSION-dev
$VERSION-venv
$VERSION-distutils
EOF
fi

/setup.packages.sh pythons.txt

# Re-link pyconfig.h from x86_64-linux-gnu into the devtoolset directory
# for any Python version present

# Example: setup_venv_test.sh bazel_pip "/tf/pkg/*.whl"
# 
# 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

.idea
.ipynb_checkpoints
.mypy_cache
.vscode
__pycache__
.pytest_cache
htmlcov
dist
site
.coverage*
coverage.xml
.netlify
test.db
log.txt
Pipfile.lock
env3.*
env
docs_build
site_build
venv
docs.zip
archive.zip

# vim temporary files
*~
.*.sw?
.cache

# macOS