app.include_router(router)


client = TestClient(app)


def test_a():
    response = client.get("/a")
    assert response.status_code == 200, response.text
    assert response.json() == "a"


def test_b():
    response = client.get("/b")
    assert response.status_code == 200, response.text
    assert response.json() == "b"


def test_c():
    response = client.get("/c")

import org.junit.jupiter.api.Test;

public class DocMapTest extends UnitFessTestCase {
    @Test
    public void test_DocList() {
        Map<String, Object> value = new LinkedHashMap<>();
        DocMap docMap = new DocMap(value);
        assertTrue(docMap.isEmpty());
        value.clear();

        List<String> keys = Arrays.asList("test_2", "test_0", "lang", "test_1");
        value.put(keys.get(0), true);

from scripts.translation_fixer import cli

data_path = Path(
    "scripts/tests/test_translation_fixer/test_header_permalinks/data"
).absolute()


@pytest.mark.parametrize(
    "copy_test_files",
    [(f"{data_path}/en_doc.md", f"{data_path}/translated_doc_number_gt.md")],
    indirect=True,
)
def test_gt(runner: CliRunner, root_dir: Path, copy_test_files):
    result = runner.invoke(
        cli,

}

TEST_F(CApiFunctionTest, TFGraphToFunctionWithStackTraces) {
  DefineFunction(func_name_, &func_);
  auto stack_traces = func_->record->stack_traces();

  EXPECT_EQ(stack_traces.size(), 4);
  EXPECT_EQ(stack_traces["neg"]->ToString({}), kNegStackToString);
  EXPECT_EQ(stack_traces["feed"]->ToString({}), kFeedStackToString);
}

  TF_Graph* graph_;
  TF_Graph* expected_graph_;
};

TEST_F(CApiGradientsTest, Gradients_GradInputs) { TestGradientsSuccess(true); }

TEST_F(CApiGradientsTest, Gradients_NoGradInputs) {
  TestGradientsSuccess(false);
}

TEST_F(CApiGradientsTest, OpWithNoGradientRegistered_GradInputs) {
  TestGradientsError(true);
}

TEST_F(CApiGradientsTest, OpWithNoGradientRegistered_NoGradInputs) {

  TF_DeleteFunction(funcs[0]);
}

TEST_F(CApiExperimentalFunctionTest, EmptyGraphRemoveNonExistentFunction) {
  TF_GraphRemoveFunction(func_graph_, "wrong_name", s_);
  EXPECT_EQ(TF_INVALID_ARGUMENT, TF_GetCode(s_));
  EXPECT_EQ(std::string("Tried to remove non-existent function 'wrong_name'."),
            std::string(TF_Message(s_)));
}

TEST_F(CApiExperimentalFunctionTest, GraphRemoveNonExistentFunction) {

# Arquivo de teste de LLM { #llm-test-file }

Este documento testa se o <abbr title="Large Language Model - Modelo de Linguagem de Grande Porte">LLM</abbr>, que traduz a documentação, entende o `general_prompt` em `scripts/translate.py` e o prompt específico do idioma em `docs/{language code}/llm-prompt.md`. O prompt específico do idioma é anexado ao `general_prompt`.

Os testes adicionados aqui serão vistos por todos os designers dos prompts específicos de idioma.

testmu.png...

client = TestClient(app)


def get_settings_override():
    return Settings(admin_email="******@****.***")


app.dependency_overrides[get_settings] = get_settings_override


def test_app():
    response = client.get("/info")
    data = response.json()
    assert data == {
        "app_name": "Awesome API",
        "admin_email": "******@****.***",
        "items_per_user": 50,

        },
        {"url": "https://prod.example.com"},
    ]
)


@app.get("/foo")
def foo():
    return {"message": "Hello World"}


client = TestClient(app)


def test_app():
    response = client.get("/foo")
    assert response.status_code == 200, response.text


def test_openapi_schema():
    response = client.get("/openapi.json")
    assert response.status_code == 200, response.text