How to use the dtale.utils.get_int_arg function in dtale

{'int': '1', 'empty_int': '', 'str': 'hello', 'empty_str': '', 'bool': 'true', 'float': '1.1'}
    )
    val = utils.get_str_arg(req, 'str')
    assert isinstance(val, str) and val == 'hello'
    val = utils.get_str_arg(req, 'str_def', default='def')
    assert val == 'def'
    val = utils.get_str_arg(req, 'empty_str')
    assert val is None
    with mock.patch('{}.str'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_str_arg(req, 'str', default='def')
        assert val == 'def'
    val = utils.get_int_arg(req, 'int')
    assert isinstance(val, int) and val == 1
    val = utils.get_int_arg(req, 'int_def', default=2)
    assert val == 2
    val = utils.get_int_arg(req, 'empty_int')
    assert val is None
    with mock.patch('{}.int'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_int_arg(req, 'int', default=2)
        assert val == 2
    val = utils.get_bool_arg(req, 'bool')
    assert isinstance(val, bool) and val

    val = utils.get_float_arg(req, 'float')
    assert isinstance(val, float) and val == 1.1
    val = utils.get_float_arg(req, 'int_def', default=2.0)
    assert val == 2.0
    val = utils.get_float_arg(req, 'empty_float')
    assert val is None
    with mock.patch('{}.float'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_float_arg(req, 'float', default=2.0)
        assert val == 2

def test_getters(builtin_pkg):
    req = build_req_tuple(
        {'int': '1', 'empty_int': '', 'str': 'hello', 'empty_str': '', 'bool': 'true', 'float': '1.1'}
    )
    val = utils.get_str_arg(req, 'str')
    assert isinstance(val, str) and val == 'hello'
    val = utils.get_str_arg(req, 'str_def', default='def')
    assert val == 'def'
    val = utils.get_str_arg(req, 'empty_str')
    assert val is None
    with mock.patch('{}.str'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_str_arg(req, 'str', default='def')
        assert val == 'def'
    val = utils.get_int_arg(req, 'int')
    assert isinstance(val, int) and val == 1
    val = utils.get_int_arg(req, 'int_def', default=2)
    assert val == 2
    val = utils.get_int_arg(req, 'empty_int')
    assert val is None
    with mock.patch('{}.int'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_int_arg(req, 'int', default=2)
        assert val == 2
    val = utils.get_bool_arg(req, 'bool')
    assert isinstance(val, bool) and val

    val = utils.get_float_arg(req, 'float')
    assert isinstance(val, float) and val == 1.1
    val = utils.get_float_arg(req, 'int_def', default=2.0)
    assert val == 2.0
    val = utils.get_float_arg(req, 'empty_float')

assert isinstance(val, str) and val == 'hello'
    val = utils.get_str_arg(req, 'str_def', default='def')
    assert val == 'def'
    val = utils.get_str_arg(req, 'empty_str')
    assert val is None
    with mock.patch('{}.str'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_str_arg(req, 'str', default='def')
        assert val == 'def'
    val = utils.get_int_arg(req, 'int')
    assert isinstance(val, int) and val == 1
    val = utils.get_int_arg(req, 'int_def', default=2)
    assert val == 2
    val = utils.get_int_arg(req, 'empty_int')
    assert val is None
    with mock.patch('{}.int'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_int_arg(req, 'int', default=2)
        assert val == 2
    val = utils.get_bool_arg(req, 'bool')
    assert isinstance(val, bool) and val

    val = utils.get_float_arg(req, 'float')
    assert isinstance(val, float) and val == 1.1
    val = utils.get_float_arg(req, 'int_def', default=2.0)
    assert val == 2.0
    val = utils.get_float_arg(req, 'empty_float')
    assert val is None
    with mock.patch('{}.float'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_float_arg(req, 'float', default=2.0)
        assert val == 2

def test_getters(builtin_pkg):
    req = build_req_tuple(
        {'int': '1', 'empty_int': '', 'str': 'hello', 'empty_str': '', 'bool': 'true', 'float': '1.1'}
    )
    val = utils.get_str_arg(req, 'str')
    assert isinstance(val, str) and val == 'hello'
    val = utils.get_str_arg(req, 'str_def', default='def')
    assert val == 'def'
    val = utils.get_str_arg(req, 'empty_str')
    assert val is None
    with mock.patch('{}.str'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_str_arg(req, 'str', default='def')
        assert val == 'def'
    val = utils.get_int_arg(req, 'int')
    assert isinstance(val, int) and val == 1
    val = utils.get_int_arg(req, 'int_def', default=2)
    assert val == 2
    val = utils.get_int_arg(req, 'empty_int')
    assert val is None
    with mock.patch('{}.int'.format(builtin_pkg), mock.Mock(side_effect=Exception)):
        val = utils.get_int_arg(req, 'int', default=2)
        assert val == 2
    val = utils.get_bool_arg(req, 'bool')
    assert isinstance(val, bool) and val

    val = utils.get_float_arg(req, 'float')
    assert isinstance(val, float) and val == 1.1
    val = utils.get_float_arg(req, 'int_def', default=2.0)
    assert val == 2.0
    val = utils.get_float_arg(req, 'empty_float')
    assert val is None
    with mock.patch('{}.float'.format(builtin_pkg), mock.Mock(side_effect=Exception)):

def get_histogram(data_id):
    """
    :class:`flask:flask.Flask` route which returns output from numpy.histogram to front-end as JSON

    :param data_id: integer string identifier for a D-Tale process's data
    :type data_id: str
    :param col: string from flask.request.args['col'] containing name of a column in your dataframe
    :param query: string from flask.request.args['query'] which is applied to DATA using the query() function
    :param bins: the number of bins to display in your histogram, options on the front-end are 5, 10, 20, 50
    :returns: JSON {results: DATA, desc: output from pd.DataFrame[col].describe(), success: True/False}
    """
    col = get_str_arg(request, 'col', 'values')
    query = get_str_arg(request, 'query')
    bins = get_int_arg(request, 'bins', 20)
    try:
        data = DATA[data_id]
        if query:
            data = data.query(query)

        selected_col = find_selected_column(data, col)
        data = data[~pd.isnull(data[selected_col])][[selected_col]]
        hist = np.histogram(data, bins=bins)

        desc = load_describe(data[selected_col])
        return jsonify(data=[json_float(h) for h in hist[0]], labels=['{0:.1f}'.format(l) for l in hist[1]], desc=desc)
    except BaseException as e:
        return jsonify(dict(error=str(e), traceback=str(traceback.format_exc())))