from typing import Literal

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

app = FastAPI()


class FilterParams(BaseModel):
    class 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/")

    name = "Warmup EC2 Agent"
    id("Util_WarmupEc2Agent")

    vcs.useAbsoluteVcs(VersionedSettingsBranch.fromDslContext().vcsRootId())

    features {
        freeDiskSpace {
            // Lower the limit such that the agent work directories aren't cleaned during the AMI baking process
            requiredSpace = "100mb"
        }
    }

    params {
        param("defaultBranchName", "master")

MINIO_ACCESSKEY_SECRETKEY_TMP="/tmp/accessKey_and_secretKey_svcacct_tmp"

# connectToMinio
# Use a check-sleep-check loop to wait for MinIO service to be available
connectToMinio() {
  SCHEME=$1
  ATTEMPTS=0 ; LIMIT=29 ; # Allow 30 attempts
  set -e ; # fail if we can't read the keys.
  ACCESS=$(cat /config/rootUser) ; SECRET=$(cat /config/rootPassword) ;
  set +e ; # The connections to minio are allowed to fail.

        int limit = pos + random.nextInt(value.length - pos + 1);
        for (PrimitiveSink sink : sinks) {
          ByteBuffer buffer = ByteBuffer.wrap(value);
          Java8Compatibility.position(buffer, pos);
          Java8Compatibility.limit(buffer, limit);
          sink.putBytes(buffer);
          assertEquals(limit, buffer.limit());
          assertEquals(limit, buffer.position());
        }
      }

                                "name": "limit",
                                "in": "query",
                                "required": False,
                                "schema": {
                                    "type": "integer",
                                    "maximum": 100,
                                    "default": 100,
                                    "title": "Limit",
                                },

from fastapi import FastAPI, Query
from pydantic import BaseModel, Field
from typing_extensions import Annotated, 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: Annotated[FilterParams, Query()]):

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

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/")

   *
   * @param in the input stream to be wrapped
   * @param limit the maximum number of bytes to be read
   * @return a length-limited {@link InputStream}
   * @since 14.0 (since 1.0 as com.google.common.io.LimitInputStream)
   */
  public static InputStream limit(InputStream in, long limit) {
    return new LimitedInputStream(in, limit);
  }

  private static final class LimitedInputStream extends FilterInputStream {

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

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/")

  var IMG_LOADING_MAX = 0;
  loadImage = function(img, url, limit) {
    var imgData = new Image();
    $(imgData).on("load", function() {
      $(img).css("background-image", "");
      $(img).attr("src", url);
    });
    $(imgData).on("error", function() {
      if (limit > 0) {
        setTimeout(function() {
          loadImage(img, url, --limit);
        }, IMG_LOADING_DELAY);
      } else {