</antcall>
		<!-- mapper-extras -->
		<antcall target="install.module">
			<param name="repo.url" value="${maven.release.repo.url}" />
			<param name="module.groupId" value="org/codelibs/opensearch/module" />
			<param name="module.name.prefix" value="" />
			<param name="module.name" value="mapper-extras" />
			<param name="module.version" value="${opensearch.version}" />

    # via
    #   -r ci/official/requirements_updater/requirements.in
    #   jax
    #   keras-nightly
namex==0.0.8 \
    --hash=sha256:32a50f6c565c0bb10aa76298c959507abdc0e850efe085dc38f3440fcb3aa90b \
    --hash=sha256:7ddb6c2bb0e753a311b7590f84f6da659dd0c05e65cb89d519d54c0a250c0487
    # via keras-nightly
numpy==2.1.1 \
    --hash=sha256:046356b19d7ad1890c751b99acad5e82dc4a02232013bd9a9a712fddf8eb60f5 \

{!> ../../docs_src/python_types/tutorial008.py!}
```

////

This means:

* The variable `prices` is a `dict`:
    * The keys of this `dict` are of type `str` (let's say, the name of each item).
    * The values of this `dict` are of type `float` (let's say, the price of each item).

#### Union

You can declare that a variable can be any of **several types**, for example, an `int` or a `str`.

In fact, in some cases, it will even have **two JSON Schemas** in OpenAPI for the same Pydantic model, for input and output, depending on if they have **default values**.

Let's see how that works and how to change it if you need to do that.

## Pydantic Models for Input and Output

Let's say you have a Pydantic model with default values, like this one:

{* ../../docs_src/separate_openapi_schemas/tutorial001_py310.py ln[1:7] hl[7] *}

    echo "Please include the missing licenses for the following packages in $LICENSES_TARGET:"
    cat $BATS_TEST_TMPDIR/actual_missing_licenses
  fi

  # Fail if either of the two "extras" or "missing" lists are present. If so,
  # then the user will see the above error messages.
  [[ ! -s $BATS_TEST_TMPDIR/actual_extra_licenses ]] && [[ ! -s $BATS_TEST_TMPDIR/actual_missing_licenses ]]
}

title: 'Another Boilerplate to FastAPI: Azure Pipeline CI + Pytest' - author: Shane Soh author_link: https://medium.com/@shane.soh link: https://medium.com/analytics-vidhya/deploy-machine-learning-models-with-keras-fastapi-redis-and-docker-4940df614ece title: Deploy Machine Learning Models with Keras, FastAPI, Redis and Docker - author: Mandy Gu author_link: https://towardsdatascience.com/@mandygu link: https://towardsdatascience.com/deploying-iris-classifications-with-fastapi-and-docker-7c9b83fdec3a...

        LD_LIBRARY_PATH and add the `cuda` option flag.

        ```bash
        export LD_LIBRARY_PATH="${LD_LIBRARY_PATH}:/usr/local/cuda/lib64:/usr/local/cuda/extras/CUPTI/lib64:$LD_LIBRARY_PATH"
        export flags="--config=opt --config=cuda -k"
        ```

    For example, to run all tests under tensorflow/python, do:

    ```bash

INFO:     Waiting for application startup.
INFO:     Application startup complete.
```

### Refactors

* 🔧 Add configs and setup for `fastapi-slim` including optional extras `fastapi-slim[standard]`, and `fastapi` including by default the same `standard` extras. PR [#11503](https://github.com/tiangolo/fastapi/pull/11503) by [@tiangolo](https://github.com/tiangolo).

## 0.110.3

### Docs

				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>reindex-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>mapper-extras-client</artifactId>
				</exclusion>
				<exclusion>
					<groupId>org.opensearch.plugin</groupId>
					<artifactId>aggs-matrix-stats-client</artifactId>
				</exclusion>
				<exclusion>

proto$1","get$1","index","field","setter","listMonthsImpl","out","listWeekdaysImpl","localeSorted","shift","_calendar","_longDateFormat","formatUpper","toUpperCase","tok","_invalidDate","_ordinal","isFuture","_relativeTime","pastFuture","source","_eras","Infinity","isFormat","_monthsShort","monthName","_monthsParseExact","ii","llc","toLocaleLowerCase","_monthsParse","_longMonthsParse","_shortMonthsParse","firstDayOfYear","firstDayOfWeek","_weekdays","_weekdaysMin","_weekdaysShort","weekdayName",...