/compiler/testData/modules.xml/ "Kotlin Compiler Core"
/compiler/testData/multiModule/ "Kotlin Compiler Core"
# UNKNOWN: /compiler/testData/multiplatform/
/compiler/testData/parseCodeFragment/ "Kotlin Compiler Core"
/compiler/testData/psi/ "Kotlin Compiler Core"
/compiler/testData/psiUtil/ "Kotlin Compiler Core"
/compiler/testData/recursiveProcessor/ "Kotlin Compiler Core"
/compiler/testData/reflection/ "Kotlin Libraries"

_test_lib$
//tensorflow/cc/saved_model:saved_model_test_files
//tensorflow/cc/saved_model:saved_model_half_plus_two
//tensorflow:no_tensorflow_py_deps
//tensorflow/tools/pip_package:win_pip_package_marker
//tensorflow/core:image_testdata
//tensorflow/core/kernels/cloud:bigquery_reader_ops
//tensorflow/python:extra_py_tests_deps
//tensorflow/python:mixed_precision
//tensorflow/python:tf_optimizer
//tensorflow/python:compare_test_proto_py

                // TODO: consider demoting extension receiver to the first argument to align with FIR behavior. See test case
                //  analysis/analysis-api/testData/components/callResolver/resolveCall/functionTypeVariableCall_dispatchReceiver.kt:5 where
                //  FIR and FE1.0 behaves differently because FIR unifies extension receiver of functional type as the first argument

        "//tensorflow/core/platform:resource_loader",
    ],
)

tf_cc_test(
    name = "c_api_experimental_test",
    size = "medium",
    srcs = ["c_api_experimental_test.cc"],
    data = [
        "testdata/tf_record",
        "//tensorflow/c/experimental/stream_executor/test:test_pluggable_device.so",
        "//tensorflow/core/common_runtime/next_pluggable_device/c:test_next_pluggable_device_plugin.so",
    ],

flow/core/runtime_fallback/test/saved_model,tensorflow/core/runtime_fallback/test/testdata,tensorflow/core/tfrt/stubs,tensorflow/core/tfrt/tfrt_session,tensorflow/core/tfrt/mlrt,tensorflow/core/tfrt/mlrt/attribute,tensorflow/core/tfrt/mlrt/kernel,tensorflow/core/tfrt/mlrt/bytecode,tensorflow/core/tfrt/mlrt/interpreter,tensorflow/compiler/mlir/tfrt/translate/mlrt,tensorflow/compiler/mlir/tfrt/translate/mlrt/testdata,tensorflow/core/tfrt/gpu,tensorflow/core/tfrt/run_handler_thread_pool,tensorflow/...

```
.
├── app
│   ├── __init__.py
│   └── main.py
```

In der Datei `main.py` haben Sie Ihre **FastAPI**-Anwendung:


```Python
{!../../../docs_src/app_testing/main.py!}
```

### Testdatei

Dann könnten Sie eine Datei `test_main.py` mit Ihren Tests haben. Sie könnte sich im selben Python-Package befinden (dasselbe Verzeichnis mit einer `__init__.py`-Datei):

``` hl_lines="5"
.
├── app

### Testado

* 100% <abbr title="A quantidade de código que é testada automaticamente">de cobertura de testes</abbr>.
* 100% do código utiliza <abbr title="Type annotations do Python, com isso seu editor e ferramentas externas podem te dar um suporte melhor">type annotations</abbr>.

!!! check "**FastAPI** inspirado para"
    Achar um jeito de ter uma performance insana.

    É por isso que o **FastAPI** é baseado em Starlette, para que ele seja o framework mais rápido disponível (performance testada por terceiros).

### <a href="https://falconframework.org/" class="external-link" target="_blank">Falcon</a>