<?xml version="1.0"?>
<assembly>
	<id>zip</id>
	<formats>
		<format>zip</format>
	</formats>

	<includeBaseDirectory>false</includeBaseDirectory>

	<componentDescriptors>
		<componentDescriptor>src/main/assemblies/common-bin.xml
		</componentDescriptor>
	</componentDescriptors>

        isLenient = false
        timeZone = UTC
      }
    }
  }

/** If we fail to parse a date in a non-standard format, try each of these formats in sequence. */
private val BROWSER_COMPATIBLE_DATE_FORMAT_STRINGS =
  arrayOf(
    // HTTP formats required by RFC2616 but with any timezone:
    // RFC 822, updated by RFC 1123 with any TZ.
    "EEE, dd MMM yyyy HH:mm:ss zzz",

<?xml version="1.0"?>
<assembly>
	<id>targz</id>
	<formats>
		<format>tar.gz</format>
	</formats>

	<includeBaseDirectory>false</includeBaseDirectory>

	<componentDescriptors>
		<componentDescriptor>src/main/assemblies/common-bin.xml
		</componentDescriptor>
	</componentDescriptors>

    * En requests y responses se representará como un `str` en formato ISO 8601, como: `2008-09-15T15:53:00+05:00`.
* `datetime.date`:
    * `datetime.date` de Python.
    * En requests y responses se representará como un `str` en formato ISO 8601, como: `2008-09-15`.
* `datetime.time`:
    * Un `datetime.time` de Python.
    * En requests y responses se representará como un `str` en formato ISO 8601, como: `14:23:55.003`.
* `datetime.timedelta`:

running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

// Format represents the tar archive format.
//
// The original tar format was introduced in Unix V7.
// Since then, there have been multiple competing formats attempting to
// standardize or extend the V7 format to overcome its limitations.
// The most common formats are the USTAR, PAX, and GNU formats,
// each with their own advantages and limitations.
//
// The following table captures the capabilities of each format:
//

    xsi:schemaLocation="http://maven.apache.org/ASSEMBLY/2.1.0 http://maven.apache.org/xsd/assembly-2.1.0.xsd">
  <id>dir</id>
  <formats>
    <format>dir</format>
  </formats>
  <includeBaseDirectory>false</includeBaseDirectory>
  <componentDescriptors>
    <componentDescriptor>src/assembly/component.xml</componentDescriptor>
  </componentDescriptors>

    xsi:schemaLocation="http://maven.apache.org/ASSEMBLY/2.1.0 http://maven.apache.org/xsd/assembly-2.1.0.xsd">
  <id>bin</id>
  <formats>
    <format>zip</format>
    <format>tar.gz</format>
  </formats>
  <componentDescriptors>
    <componentDescriptor>src/assembly/component.xml</componentDescriptor>
  </componentDescriptors>

            final long time = Joda.forPattern(format).parseMillis(value);
            return new Date(time);
        } catch (final Exception e) {
            return null;
        }
    }

    /**
     * Formats a Date object to ISO datetime string format in UTC timezone.
     *
     * @param date the date to format
     * @return formatted date string, or empty string if date is null
     */

<div class="termy">

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

</div>

/// info | Información

Existen otros formatos y herramientas para definir e instalar dependencias de paquetes.

///

### Crear el Código de **FastAPI**

* Crea un directorio `app` y entra en él.
* Crea un archivo vacío `__init__.py`.