Allí puedes seleccionar "Releases only".

Al hacerlo, recibirás notificaciones (en tu email) cada vez que haya un nuevo lanzamiento (una nueva versión) de **FastAPI** con correcciones de bugs y nuevas funcionalidades.

## Conéctate con el autor { #connect-with-the-author }

Puedes conectar <a href="https://tiangolo.com" class="external-link" target="_blank">conmigo (Sebastián Ramírez / `tiangolo`)</a>, el autor.

    prove that your code works correctly, and b) guard against future breaking
    changes to lower the maintenance cost.
*   Bug fixes also generally require unit tests, because the presence of bugs
    usually indicates insufficient test coverage.
*   Keep API compatibility in mind when you change code in core TensorFlow,
    e.g., code in

Lá você pode selecionar “Apenas lançamentos” (Releases only).

Fazendo isso, você receberá notificações (no seu email) sempre que houver um novo lançamento (uma nova versão) do **FastAPI** com correções de bugs e novas funcionalidades.

## Conecte-se com o autor { #connect-with-the-author }

Você pode se conectar <a href="https://tiangolo.com" class="external-link" target="_blank">comigo (Sebastián Ramírez / `tiangolo`)</a>, o autor.

	if !w.hasDataDescriptor() {
		return nil
	}
	// Write data descriptor. This is more complicated than one would
	// think, see e.g. comments in zipfile.c:putextended() and
	// https://bugs.openjdk.org/browse/JDK-7073588.
	// The approach here is to write 8 byte sizes if needed without
	// adding a zip64 extra in the local header (too late anyway).
	var buf []byte
	if w.isZip64() {

always have [`os.ModeIrregular`](/pkg/os#ModeIrregular) set. As a result of these changes,
[`filepath.EvalSymlinks`](/pkg/path/filepath#EvalSymlinks) no longer evaluates
mount points, which was a source of many inconsistencies and bugs.
At previous versions (`winsymlink=0`), mount points are treated as symlinks,
and other reparse points with non-default [`os.ModeType`](/pkg/os#ModeType) bits

        TF_NewWhile(func_graph_, &inputs[0], inputs.size(), s_)));
    ASSERT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
    params->name = "test_loop";

    // Initialize outputs so we can easily detect errors/bugs
    outputs.resize(2, {nullptr, -1});

    // Create loop: while (input1 < input2) input1 += input2 + 1
    TF_Operation* less_than = LessThan(

  EXPECT_EQ(TF_OK, TF_GetCode(s_)) << TF_Message(s_);
  EXPECT_EQ("bunny", string(static_cast<const char*>(value.get()), 5));
}

TEST_F(CApiAttributesTest, StringList) {
  std::vector<string> list = {"bugs", "bunny", "duck"};
  std::unique_ptr<const void*[]> list_ptrs;
  std::unique_ptr<size_t[]> list_lens;
  StringVectorToArrays(list, &list_ptrs, &list_lens);
  int list_total_size = 0;
  for (const auto& s : list) {

        *   The new backend is used for 8 bits full integer post-training
            quantization
        *   The new backend removes the redundant rescales and fixes some bugs
            (shared weight/bias, extremely small scales, etc)
        *   Set `experimental_new_quantizer` in tf.lite.TFLiteConverter to False
            to disable this change
*   `tf.keras`

pkg encoding/json, type InvalidUTF8Error //deprecated
pkg encoding/json, type UnmarshalFieldError //deprecated
pkg go/build, const AllowBinary //deprecated
pkg go/doc, type Package struct, Bugs //deprecated
pkg go/importer, func For //deprecated
pkg go/importer, func ForCompiler //deprecated
pkg go/types, func NewInterface //deprecated
pkg go/types, method (*Interface) Embedded //deprecated

* Add issue templates to simplify reporting bugs, getting help, etc: [#34](https://github.com/tiangolo/fastapi/pull/34).