clause.Set([]clause.Assignment{{clause.Column{Name: "name"}, "jinzhu"}}),
			},
			"UPDATE `users` SET `name`=?",
			[]interface{}{"jinzhu"},
		},
	}

	for idx, result := range results {
		t.Run(fmt.Sprintf("case #%v", idx), func(t *testing.T) {
			checkBuildClauses(t, result.Clauses, result.Result, result.Vars)
		})
	}
}

func TestAssignments(t *testing.T) {
	set := clause.Assignments(map[string]interface{}{

			switch field.GORMDataType {
			case schema.Time:
				if !strings.EqualFold(strings.TrimSuffix(dv, "()"), strings.TrimSuffix(field.DefaultValue, "()")) {
					alterColumn = true
				}
			case schema.Bool:
				v1, _ := strconv.ParseBool(dv)
				v2, _ := strconv.ParseBool(field.DefaultValue)
				if v1 != v2 {
					alterColumn = true
				}
			case schema.String:

# And you can use it to view objects too.
#
# If local column name is same as foreign column name,
# you can omit the setting of localColumnName and foreignColumnName.
# The names are treated as case insensitive.
#
# Example:
# map:{
#     ; FK_MEMBER_MEMBER_STATUS_CODE = map:{
#         ; localTableName  = MEMBER             ; foreignTableName  = MEMBER_STATUS

#!/bin/bash -eu
# Copyright 2016 The TensorFlow Authors. All Rights Reserved.
#
# Licensed 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
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,

In some cases, you might still have to use Pydantic's version of `dataclasses`. For example, if you have errors with the automatically generated API documentation.

In that case, you can simply swap the standard `dataclasses` with `pydantic.dataclasses`, which is a drop-in replacement:

{* ../../docs_src/dataclasses_/tutorial003_py310.py hl[1,4,7:10,13:16,22:24,27] *}

from contextlib import AsyncExitStack, contextmanager
from copy import copy, deepcopy
from dataclasses import dataclass
from typing import (
    Annotated,
    Any,
    ForwardRef,
    Literal,
    Union,
    cast,
    get_args,
    get_origin,
)

from fastapi import params
from fastapi._compat import (
    ModelField,
    RequiredParam,
    Undefined,
    copy_field_info,
    create_body_model,

    names.

    Should be called only after all routes have been added.
    """
    for route in app.routes:
        if isinstance(route, APIRoute):
            route.operation_id = route.name  # in this case, 'read_items'

En las siguientes secciones verás otras opciones, configuraciones y funcionalidades adicionales.

/// tip | Consejo

Las siguientes secciones **no son necesariamente "avanzadas"**.

Y es posible que para tu caso de uso, la solución esté en una de ellas.

///

## Lee primero el Tutorial { #read-the-tutorial-first }

Now let's jump to the fun stuff. 🎉

## Add `Query` to `Annotated` in the `q` parameter { #add-query-to-annotated-in-the-q-parameter }

Now that we have this `Annotated` where we can put more information (in this case some additional validation), add `Query` inside of `Annotated`, and set the parameter `max_length` to `50`:

{* ../../docs_src/query_params_str_validations/tutorial002_an_py310.py hl[9] *}

 * Representation of one story, a set of request headers to encode or decode. This class is used
 * reflectively with Moshi to parse stories from files.
 */
data class Story(
  val description: String? = null,
  val cases: List<Case>,
  val fileName: String? = null,
) {
  // Used as the test name.
  override fun toString() = fileName ?: "?"

  companion object {
    @JvmField