import pytest
from dirty_equals import IsDict
from fastapi.testclient import TestClient

from .main import app

client = TestClient(app)


@pytest.mark.parametrize(
    "path,expected_status,expected_response",
    [
        ("/api_route", 200, {"message": "Hello World"}),
        ("/non_decorated_route", 200, {"message": "Hello World"}),
        ("/nonexistent", 404, {"detail": "Not Found"}),
    ],
)

  }

  private Type resolveTypeArgsForSubclass(Class<?> subclass) {
    // If both runtimeType and subclass are not parameterized, return subclass
    // If runtimeType is not parameterized but subclass is, process subclass as a parameterized type
    // If runtimeType is a raw type (i.e. is a parameterized type specified as a Class<?>), we
    // return subclass as a raw type
    if (runtimeType instanceof Class

//
// Note that to test the local filesystem we use an empty value.

namespace tensorflow {
namespace {

using ::tensorflow::error::Code;

// As we need to test multiple URI schemes we need a parameterized test.
// Furthermore, since each test creates and deletes files, we will use the same
// fixture to create new directories in `SetUp`. Each directory will reside in

  int counter_;
};

// Helper macros for the TF_OperationGetAttr* tests.
// TODO(ashankar): Use gmock matchers instead?
// (https://github.com/google/googletest/blob/master/googlemock/docs/CookBook.md#writing-new-parameterized-matchers-quickly)
// That will require setting up the tensorflow build with gmock.
#define EXPECT_TF_META(attr_name, expected_list_size, expected_type, \
                       expected_total_size)                          \