<div class="termy">

```console
$ pip install -r requirements.txt
---> 100%
Successfully installed fastapi pydantic
```

</div>

/// info

There are other formats and tools to define and install package dependencies.

///

### Create the **FastAPI** Code

* Create an `app` directory and enter it.
* Create an empty file `__init__.py`.
* Create a `main.py` file with:

```Python

`MultipartBody.Builder` can build sophisticated request bodies compatible with HTML file upload forms. Each part of a multipart request body is itself a request body, and can define its own headers. If present, these headers should describe the part body, such as its `Content-Disposition`. The `Content-Length` and `Content-Type` headers are added automatically if they're available.

 * computeInPlace} instead of {@code compute}.
 *
 * <h3>Definition and notes on interpolation</h3>
 *
 * <p>The definition of the kth q-quantile of N values is as follows: define x = k * (N - 1) / q; if
 * x is an integer, the result is the value which would appear at index x in the sorted dataset
 * (unless there are {@link Double#NaN NaN} values, see below); otherwise, the result is the average

///

/// check | "**FastAPI** l'utilise pour"

Gérer toutes les parties web de base. Ajouter des fonctionnalités par-dessus.

La classe `FastAPI` elle-même hérite directement de la classe `Starlette`.

Ainsi, tout ce que vous pouvez faire avec Starlette, vous pouvez le faire directement avec **FastAPI**, car il s'agit en fait de Starlette sous stéroïdes.

///

	name string  "any string is permitted as a tag"
	_    [4]byte "ceci n'est pas un champ de structure"
}

// A struct corresponding to a TimeStamp protocol buffer.
// The tag strings define the protocol buffer field numbers;
// they follow the convention outlined by the reflect package.
struct {
	microsec  uint64 `protobuf:"1"`
	serverIP6 uint64 `protobuf:"2"`
}
</pre>

  // this list must have at least one matching (by name) volumeMount in one
  // container in the template. A claim in this list takes precedence over
  // any volumes in the template, with the same name.
  // TODO: Define the behavior if a claim already exists with the same name.
  // +optional
  repeated k8s.io.api.core.v1.PersistentVolumeClaim volumeClaimTemplates = 4;

			if p.sawCode {
				p.errorf("misplaced //go:build comment")
			}
			continue
		}
		if tok != '\n' {
			p.sawCode = true
		}
		if tok == '#' {
			// A leftover wisp of a #include/#define/etc,
			// to let us know that p.sawCode should be true now.
			// Otherwise ignored.
			continue
		}
		return tok
	}
}

// line consumes a single assembly line from p.lex of the form
//

isWindow=y,ce.camelCase=F,ce.type=x,ce.now=Date.now,ce.isNumeric=function(e){var t=ce.type(e);return("number"===t||"string"===t)&&!isNaN(e-parseFloat(e))},ce.trim=function(e){return null==e?"":(e+"").replace(en,"$1")},"function"==typeof define&&define.amd&&define("jquery",[],function(){return ce});var tn=ie.jQuery,nn=ie.$;return ce.noConflict=function(e){return ie.$===ce&&(ie.$=nn),e&&ie.jQuery===ce&&(ie.jQuery=tn),ce},"undefined"==typeof e&&(ie.jQuery=ie.$=ce),ce});...

            compatibility with GPU delegate.

*   Extension Types

    *   Add experimental API to define new Python classes that can be handled by
        TensorFlow APIs. To create an extension type, simply define a Python
        class with `tf.experimental.ExtensionType` as its base, and use type
        annotations to specify the type for each field. E.g.: `python class

}

// REGISTER_OP for CApiAttributesTest test cases.
// Registers two ops, each with a single attribute called 'v'.
// The attribute in one op will have a type 'type', the other
// will have list(type).
#define ATTR_TEST_REGISTER_OP(type)                           \
  REGISTER_OP("CApiAttributesTestOp" #type)                   \
      .Attr("v: " #type)                                      \