* `write(data)`: Writes `data` (`str` or `bytes`) to the file.
* `read(size)`: Reads `size` (`int`) bytes/characters of the file.
* `seek(offset)`: Goes to the byte position `offset` (`int`) in the file.
    * E.g., `await myfile.seek(0)` would go to the start of the file.
    * This is especially useful if you run `await myfile.read()` once and then need to read the contents again.

* `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.

     *            placed.
     * @param offset
     *            The offset in the destination array at which the
     *            session key will start.
     * @throws SmbException if an SMB error occurs
     */
    public void getUserSessionKey(CIFSContext tc, byte[] chlng, byte[] dest, int offset) throws SmbException {
        try {
            MessageDigest md4 = Crypto.getMD4();

from typing import Literal

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

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()):

                final SID sid = (SID) sid_cache.get(sids[offset + si]);
                if (sid != null) {
                    sids[offset + si].type = sid.type;
                    sids[offset + si].domainName = sid.domainName;
                    sids[offset + si].acctName = sid.acctName;
                } else {
                    list.add(sids[offset + si]);
                }
            }

	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"

	// This matches the limit used by libarchive.
	maxSpecialFileSize = 1 << 20
)

// blockPadding computes the number of bytes needed to pad offset up to the
// nearest block edge where 0 <= n < blockSize.
func blockPadding(offset int64) (n int64) {
	return -offset & (blockSize - 1)
}

var zeroBlock block

type block [blockSize]byte

// Convert block to any number of formats.

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()]):

		objectName     string
		offset         int64
		expectedResult []byte
		expectErr      bool
	}{
		{"foo", "myobject", 0, []byte("foo"), false},
		{"foo", "myobject", 1, []byte("oo"), false},
		// file not found error.
		{"foo", "yourobject", 0, nil, true},
	}

	result := make([]byte, 100)
	for i, testCase := range testCases {
		result = result[testCase.offset:3]