response = client.post("/login/", data={"username": "Foo", "password": "secret"})
    assert response.status_code == 200
    assert response.json() == {"username": "Foo", "password": "secret"}


# TODO: remove when deprecating Pydantic v1
@needs_pydanticv1
def test_post_body_extra_form(client: TestClient):
    response = client.post(
        "/login/", data={"username": "Foo", "password": "secret", "extra": "extra"}

            searchPaging(data, form);
        });
    }

    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse reset(final SearchForm form) {
        validate(form, messages -> {}, this::asDictIndexHtml);
        synonymPager.clear();
        return asHtml(path_AdminDictSynonym_AdminDictSynonymJsp).renderWith(data -> {
            searchPaging(data, form);

                                                       items="${kuromojiItemItems}">
                                                <tr
                                                        data-href="${contextPath}/admin/dict/kuromoji/details/${f:u(dictId)}/4/${f:u(data.id)}">
                                                    <td>${f:h(data.token)}</td>

Pydantic models have a `.dict()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.dict()
```

we now have a `dict` with the data in the variable `user_dict` (it's a `dict` instead of a Pydantic model object).

	}

	harumph := Harumph{}
	if err := DB.Create(&harumph).Error; err == nil {
		t.Fatalf("should failed to create data, name can't be blank")
	}

	harumph = Harumph{Name: "jinzhu"}
	if err := DB.Create(&harumph).Error; err != nil {
		t.Fatalf("should be able to create data, but got %v", err)
	}

	var result Harumph
	if err := DB.First(&result, "id = ?", harumph.ID).Error; err != nil || harumph.Name != "jinzhu" {

*   `tf.data`:
    *   Graduated experimental APIs:
        * [`tf.data.Dataset.ragged_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#ragged_batch), which batches elements of `tf.data.Dataset`s into `tf.RaggedTensor`s.
        * [`tf.data.Dataset.sparse_batch`](https://www.tensorflow.org/api_docs/python/tf/data/Dataset/#sparse_batch), which batches elements of `tf.data.Dataset`s into `tf.sparse.SparseTensor`s.

				err = e
			}
		}

		if len(data.err) > 0 && err == nil {
			t.Errorf("callbacks tests #%v should got error %v, but not", idx+1, data.err)
		} else if len(data.err) == 0 && err != nil {
			t.Errorf("callbacks tests #%v should not got error, but got %v", idx+1, err)
		}

		if ok, msg := assertCallbacks(callbacks.Create(), data.results); !ok {
			t.Errorf("callbacks tests #%v failed, got %v", idx+1, msg)

@pytest.mark.anyio
async def test_upload_file():
    stream = io.BytesIO(b"data")
    file = UploadFile(filename="file", file=stream, size=4)
    assert await file.read() == b"data"
    assert file.size == 4
    await file.write(b" and more data!")
    assert await file.read() == b""
    assert file.size == 19
    await file.seek(0)
    assert await file.read() == b"data and more data!"

    #  Referring the property 'sequenceDefinitionMap'.
    #
    #; isIncrementSequenceToDataMax = false
    # - - - - - - - - - -/

    # /- - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    # o isSuppressBatchUpdate: (NotRequired - Default false)
    #  Does it suppress batch update at loading data?
    #  When you have a data error, you may get details for the error

./mc ready minio1 --insecure
./mc ready minio2 --insecure

# Prepare data for tests
echo -n "Preparing test data ..."
mkdir -p /tmp/data
echo "Hello from encrypted world" >/tmp/data/encrypted
touch /tmp/data/mpartobj
shred -s 500M /tmp/data/mpartobj
touch /tmp/data/defpartsize
shred -s 500M /tmp/data/defpartsize
touch /tmp/data/custpartsize
shred -s 500M /tmp/data/custpartsize
echo "done"

# Add replication site