# Requirements for NumPy 1.x
numpy ~= 1.26.0
wheel ~= 0.41.2
h5py >= 3.10.0
lit ~= 17.0.2
opt_einsum == 3.3.0
astunparse == 1.6.3
dill == 0.3.7
astor == 0.7.1
typing_extensions == 4.8.0
gast == 0.4.0
termcolor == 2.3.0
wrapt == 1.16.0
tblib == 2.0.0
ml_dtypes >= 0.4.0, < 0.5.0
# Install tensorboard, and keras
# Note that here we want the latest version that matches TF major.minor version

import jakarta.validation.constraints.Size;

/**
 * @author codelibs
 * @author jflute
 */
public class CreateForm {

    @ValidateTypeFailure
    public Integer crudMode;

    @Required
    @Size(max = 100)
    public String term;

    @Required
    @CustomSize(maxKey = "form.admin.max.input.size")
    public String query;

    @Required
    @Min(value = 0)
    @Max(value = 2147483647)
    @ValidateTypeFailure

3}%,[0-9]{1,3}%,[0,1]{1}.?[0-9]*\)/i;if(e.match(f)){var g=e.replace(/\(/g,"").replace(/\)/g,""),h=g.split(","),i=!0;return h.forEach(function(a,c){var e=b(a);Number.isInteger(e)?0===c?(d=0<=e&&e<=360,d||(i=!1)):(d=0<=e&&e<=100,d||(i=!1)):isNaN(e)?(e=parseInt(a),d=0<=e&&e<=100,d||(i=!1)):(d=0<=e&&e<=1,d||(i=!1))}),i}return!1},errorMessage:"",errorMessageKey:"badHsla"})}(a)});...

## Acerca de Pydantic

Pydantic incluye los tests para **FastAPI** dentro de sus propios tests, esto significa que las versiones de Pydantic (superiores a `1.0.0`) son compatibles con FastAPI.

Puedes fijar Pydantic a cualquier versión superior a `1.0.0` e inferior a `2.0.0` que funcione para ti.

Por ejemplo:

```txt
pydantic>=1.2.0,<2.0.0

                    <mxGeometry x="780" y="420" width="250" height="100" as="geometry"/>
                </mxCell>

                Map.of("timestamp", List.of("[0 TO 100]")), //
                Set.of(), //

package cmd

import (
	"sync"

	"github.com/minio/minio/internal/config/ilm"
)

var globalILMConfig = ilmConfig{
	cfg: ilm.Config{
		ExpirationWorkers: 100,
		TransitionWorkers: 100,
	},
}

type ilmConfig struct {
	mu  sync.RWMutex
	cfg ilm.Config
}

func (c *ilmConfig) getExpirationWorkers() int {
	c.mu.RLock()
	defer c.mu.RUnlock()

page.group.max.fetch.size=1000
page.crawling.info.param.max.fetch.size=100
page.crawling.info.max.fetch.size=1000
page.data.config.max.fetch.size=100
page.web.config.max.fetch.size=100
page.file.config.max.fetch.size=100
page.duplicate.host.max.fetch.size=1000
page.failure.url.max.fetch.size=1000
page.favorite.log.max.fetch.size=100
page.file.auth.max.fetch.size=100
page.web.auth.max.fetch.size=100
page.path.mapping.max.fetch.size=1000

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Literal

app = FastAPI()


class FilterParams(BaseModel):
    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field

app = FastAPI()


class FilterParams(BaseModel):
    model_config = {"extra": "forbid"}

    limit: int = Field(100, gt=0, le=100)
    offset: int = Field(0, ge=0)
    order_by: Literal["created_at", "updated_at"] = "created_at"
    tags: list[str] = []


@app.get("/items/")
async def read_items(filter_query: FilterParams = Query()):