Xiaopeng Han <******@****.***> 1686841337 +0800

.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

# 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

  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"
"$python" -m pip install *.whl $TFCI_PYTHON_VERIFY_PIP_INSTALL_ARGS
if [[ "$TFCI_WHL_IMPORT_TEST_ENABLE" == "1" ]]; then

sha-rath <******@****.***> 1650601369 +0530

// in annotations/labels.
func strdict(v ...string) map[string]string {
	dict := map[string]string{}
	lenv := len(v)
	for i := 0; i < lenv; i += 2 {
		key := v[i]
		if i+1 >= lenv {
			dict[key] = ""
			continue
		}
		dict[key] = v[i+1]
	}
	return dict
}

### 🕹 🌐 ⏮️ `venv`

👆 💪 ✍ 🕹 🌐 📁 ⚙️ 🐍 `venv` 🕹:

<div class="termy">

```console
$ python -m venv env
```

</div>

👈 🔜 ✍ 📁 `./env/` ⏮️ 🐍 💱 &amp; ⤴️ 👆 🔜 💪 ❎ 📦 👈 ❎ 🌐.

### 🔓 🌐

🔓 🆕 🌐 ⏮️:

=== "💾, 🇸🇻"

    <div class="termy">

    ```console
    $ source ./env/bin/activate
    ```

    </div>

=== "🚪 📋"

### Virtual environment with `venv`

You can create an isolated virtual local environment in a directory using Python's `venv` module. Let's do this in the cloned repository (where the `requirements.txt` is):

<div class="termy">

```console
$ python -m venv env
```

</div>

	fmt.Fprintf(w, "<details><summary><code>go env</code> Output</summary><br><pre>\n")
	fmt.Fprintf(w, "$ go env\n")
	printGoEnv(w)
	printGoDetails(w)
	printOSDetails(w)
	printCDetails(w)
	fmt.Fprintf(w, "</pre></details>\n\n")
}

func printGoEnv(w io.Writer) {
	env := envcmd.MkEnv()
	env = append(env, envcmd.ExtraEnvVars()...)

### Ambiente virtual com `venv`

Você pode criar um ambiente virtual em um diretório utilizando o módulo `venv` do Python:

<div class="termy">

```console
$ python -m venv env
```

</div>

Isso criará o diretório `./env/` com os binários Python e então você será capaz de instalar pacotes nesse ambiente isolado.

### Ativar o ambiente