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/")
async def read_items(filter_query: FilterParams = Query()):

                            {
                                "name": "offset",
                                "in": "query",
                                "required": False,
                                "schema": {
                                    "type": "integer",
                                    "default": 0,
                                    "title": "Offset",
                                },
                            },

	storageRESTTotalVersions    = "tvers"
	storageRESTSrcVolume        = "svol"
	storageRESTSrcPath          = "spath"
	storageRESTDstVolume        = "dvol"
	storageRESTDstPath          = "dpath"
	storageRESTOffset           = "offset"
	storageRESTLength           = "length"
	storageRESTCount            = "count"
	storageRESTBitrotAlgo       = "balg"
	storageRESTBitrotHash       = "bhash"
	storageRESTDiskID           = "did"

  // Sanity check returned OpDef
  string data(static_cast<const char*>(buffer->data), buffer->length);
  OpDef op_def;
  op_def.ParseFromString(data);
  EXPECT_EQ(op_def.name(), func_name_);
  EXPECT_EQ(op_def.input_arg_size(), 1);
  EXPECT_EQ(op_def.output_arg_size(), 1);
  EXPECT_FALSE(op_def.is_stateful());

  TF_DeleteBuffer(buffer);
}

	VST1.P	[V4.S4,V5.S4], 48(R1)                            // ERROR "invalid post-increment offset"
	VST1.P	[V4.S4], 8(R1)                                   // ERROR "invalid post-increment offset"
	VLD1.P	32(R1), [V8.S4, V9.S4, V10.S4]                   // ERROR "invalid post-increment offset"
	VLD1.P	48(R1), [V7.S4, V8.S4, V9.S4, V10.S4]            // ERROR "invalid post-increment offset"

* `write(data)`: Escreve `data` (`str` ou `bytes`) no arquivo.
* `read(size)`: Lê `size` (`int`) bytes/caracteres do arquivo.
* `seek(offset)`: Vai para o byte na posição `offset` (`int`) no arquivo.
    * Por exemplo, `await myfile.seek(0)` irá para o início do arquivo.
    * Isso é especialmente útil se você executar `await myfile.read()` uma vez e precisar ler o conteúdo novamente.

        To be awaitable, compatible with async, this is run in threadpool.
        """
        return await super().read(size)

    async def seek(
        self,
        offset: Annotated[
            int,
            Doc(
                """
                The position in bytes to seek to in the file.
                """
            ),
        ],
    ) -> None:
        """

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: Annotated[FilterParams, Query()]):

          private final ByteArrayOutputStream out = new ByteArrayOutputStream();

          @Override
          public boolean processBytes(byte[] buffer, int offset, int length) throws IOException {
            if (length >= 0) {
              out.write(buffer, offset, length);
            }
            return true;
          }

          @Override
          public byte[] getResult() {

from typing_extensions import Annotated, Literal

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/")
async def read_items(filter_query: Annotated[FilterParams, Query()]):