# Parámetros de Path { #path-parameters }

Puedes declarar "parámetros" o "variables" de path con la misma sintaxis que se usa en los format strings de Python:

{* ../../docs_src/path_params/tutorial001_py39.py hl[6:7] *}

El valor del parámetro de path `item_id` se pasará a tu función como el argumento `item_id`.

                this.cwd = cwd;
                this.mavenHome = mavenHome;
                this.userHome = userHome;
                this.stdIn = stdIn;
                this.stdOut = stdOut;
                this.stdErr = stdErr;
                this.embedded = embedded;
            }

            @Override
            public String command() {
                return command;

 *
 * <p>Keep a strong reference to this object until all of the associated referents have been
 * finalized. If this object is garbage collected earlier, the backing thread will not invoke {@code
 * finalizeReferent()} on the remaining references.
 *
 * <p>As an example of how this is used, imagine you have a class {@code MyServer} that creates a

 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF licenses this file
 * to you under the Apache License, Version 2.0 (the
 * "License"); you may not use this file except in compliance
 * with the License.  You may obtain a copy of the License at
 *
 *   http://www.apache.org/licenses/LICENSE-2.0

///

## Tipos y Validación { #types-and-validation }

Estas variables de entorno solo pueden manejar **strings de texto**, ya que son externas a Python y deben ser compatibles con otros programas y el resto del sistema (e incluso con diferentes sistemas operativos, como Linux, Windows, macOS).

## Editor support { #editor-support }

In your editor, inside your function you will get type hints and completion everywhere (this wouldn't happen if you received a `dict` instead of a Pydantic model):

<img src="/img/tutorial/body/image03.png">

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

            this.type = _src.dec_ndr_long();
            _src.align(4);
            if (this.uuid == null) {
                this.uuid = new uuid_t();
            }
            this.uuid.time_low = _src.dec_ndr_long();
            this.uuid.time_mid = (short) _src.dec_ndr_short();
            this.uuid.time_hi_and_version = (short) _src.dec_ndr_short();
            this.uuid.clock_seq_hi_and_reserved = (byte) _src.dec_ndr_small();

# Adapted from Pydantic v1
# TODO: pv2 should this return strings instead?
def decimal_encoder(dec_value: Decimal) -> Union[int, float]:
    """
    Encodes a Decimal as int if there's no exponent, otherwise float

    This is useful when we use ConstrainedDecimal to represent Numeric(x,0)
    where an integer (but not int typed) is used. Encoding this as a float
    results in failed round-tripping between encode and parse.

     */
    public Configuration getConfig() {
        return this.ctx.getConfig();
    }

    private synchronized SmbTreeImpl getTree() {
        final SmbTreeImpl t = this.tree;
        if (t != null) {
            return t.acquire(false);
        }
        if (this.delegate != null) {
            this.tree = this.delegate.getTree();
            return this.tree;
        }
        return t;
    }

    /**

```Python
q: str | None = None
```

Aber die `Query`-Version deklariert ihn explizit als Query-Parameter.

Dann können wir mehr Parameter an `Query` übergeben. In diesem Fall den `max_length`-Parameter, der auf Strings angewendet wird:

```Python
q: str | None = Query(default=None, max_length=50)
```