# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

## Example Lambda handler

Install the necessary dependencies.
```sh
pip install flask requests
```

Following is an example lambda handler.
```py
from flask import Flask, request, abort, make_response
import requests

    ;;

    # RedHat ####################################################
    1)
        # If $1=1 this is an install
        IS_UPGRADE=false
    ;;
    2)
        # If $1=1 this is an upgrade
        IS_UPGRADE=true
    ;;

    *)
        echo "post install script called with unknown argument \`$1'" >&2
        exit 1
    ;;
esac

if [ "x$IS_UPGRADE" != "xtrue" ]; then

            plugins.add(newPlugin("maven-surefire-plugin", "test"));
            plugins.add(newPlugin("maven-jar-plugin", "jar"));
            plugins.add(newPlugin("maven-install-plugin", "install"));
            plugins.add(newPlugin("maven-deploy-plugin", "deploy"));
        } else {
            plugins = Collections.emptySet();
        }

        return plugins;
    }

```

////

/// info

To use `EmailStr`, first install <a href="https://github.com/JoshData/python-email-validator" class="external-link" target="_blank">`email-validator`</a>.

Make sure you create a [virtual environment](../virtual-environments.md){.internal-link target=_blank}, activate it, and then install it, for example:

```console
$ pip install email-validator
```

or with:

```console

FROM python:3.9

RUN pip install httpx PyGithub "pydantic==1.5.1" "pyyaml>=5.3.1,<6.0.0"

COPY ./app /app

# (2)
WORKDIR /tmp

# (3)
RUN pip install poetry

# (4)
COPY ./pyproject.toml ./poetry.lock* /tmp/

# (5)
RUN poetry export -f requirements.txt --output requirements.txt --without-hashes

# (6)
FROM python:3.9

# (7)
WORKDIR /code

# (8)
COPY --from=requirements-stage /tmp/requirements.txt /code/requirements.txt

# (9)
RUN pip install --no-cache-dir --upgrade -r /code/requirements.txt

        uses: actions/setup-java@v4
        with:
          distribution: 'zulu'
          java-version: 17

      - uses: actions/setup-python@v5
        with:
          python-version: 3.x

      - run: pip install mkdocs-material mkdocs-redirects

      - name: Generate Docs
        run: ./test_docs.sh

      - uses: actions/upload-artifact@v4
        with:
          name: docs

	}
	return nil
}

func installSimulator(appdir string) error {
	cmd := exec.Command(
		"xcrun", "simctl", "install",
		"booted", // Install to the booted simulator.
		appdir,
	)
	if out, err := cmd.CombinedOutput(); err != nil {
		os.Stderr.Write(out)
		return fmt.Errorf("xcrun simctl install booted %q: %v", appdir, err)
	}
	return nil
}

func runSimulator(appdir, bundleID string, args []string) error {

lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version
# Note that we must use nightly here as these are used in nightly jobs
# For release jobs, we will pin these on the release branch