AttributeError: can't set attribute

Question

I am working on a legacy django project, in there somewhere there is a class defined as follows;

from django.http import HttpResponse

class Response(HttpResponse):
    def __init__(self, template='', calling_context='' status=None):
        self.template = template
        self.calling_context = calling_context
        HttpResponse.__init__(self, get_template(template).render(calling_context), status)

and this class is used in views as follows

def some_view(request):
    #do some stuff
    return Response('some_template.html', RequestContext(request, {'some keys': 'some values'}))

this class was mainly created so that they could use it to perform assertions in the unit tests .i.e they are not using django.test.Client to test the views but rather they create a mock request and pass that to view as(calling the view as a callable) in the tests as follows

def test_for_some_view(self):
    mock_request = create_a_mock_request()
    #call the view, as a function
    response = some_view(mock_request) #returns an instance of the response class above
    self.assertEquals('some_template.html', response.template)
    self.assertEquals({}, response.context)

The problem is that half way through the test suite(quite a huge test suite), some tests begin blowing up when executing the

return Response('some_template.html', RequestContext(request, {'some keys': 'some values'}))

and the stack trace is

self.template = template
AttributeError: can't set attribute 

the full stack trace looks something like

======================================================================
ERROR: test_should_list_all_users_for_that_specific_sales_office
 ----------------------------------------------------------------------
Traceback (most recent call last):
File "/Users/austiine/Projects/mped/console/metrics/tests/unit/views/sales_office_views_test.py",   line 106, in test_should_list_all_users_for_that_specific_sales_office
    response = show(request, sales_office_id=sales_office.id)
File "/Users/austiine/Projects/mped/console/metrics/views/sales_office_views.py", line 63, in show
    "sales_office_users": sales_office_users}))
File "/Users/austiine/Projects/mped/console/metrics/utils/response.py", line 9, in __init__
    self.template = template
    AttributeError: can't set attribute

the actual failing test is

def test_should_list_all_users_for_that_specific_sales_office(self):
    user_company = CompanyFactory.create()
    request = self.mock_request(user_company)
    #some other stuff

    #calling the view
    response = show(request, sales_office_id=sales_office.id)
    self.assertIn(user, response.calling_context["sales_office_users"])
    self.assertNotIn(user2, response.calling_context["sales_office_users"])

code for the show view

def show(request, sales_office_id):
    user = request.user
    sales_office = []
    sales_office_users = []
    associated_market_names = []
    try:
        sales_office = SalesOffice.objects.get(id=sales_office_id)
        sales_office_users = User.objects.filter(userprofile__sales_office=sales_office)
        associated_market_names = Market.objects.filter(id__in=           (sales_office.associated_markets.all())).values_list("name", flat=True)
        if user.groups.all()[0].name == UserProfile.COMPANY_AO:
            associated_market_names = [market.name for market in sales_office.get_sales_office_user_specific_markets(user)]
        except:
            pass
    return Response("sales_office/show.html", RequestContext(request, {'keys': 'values'}))

Solution

This answer doesn't address the specifics of this question, but explains the underlying issue. This specific exception "AttributeError: can't set attribute" is raised (see source) when the attribute you're attempting to change is actually a property that doesn't have a setter. If you have access to the library's code, adding a setter would solve the problem.

EDIT: updated source link to new location in the code.

Edit2:

Example of a setter:

class MAMLMetaLearner(nn.Module):
    def __init__(
            self,
            args,
            base_model,

            inner_debug=False,
            target_type='classification'
    ):
        super().__init__()
        self.args = args  # args for experiment
        self.base_model = base_model
        assert base_model is args.model

        self.inner_debug = inner_debug
        self.target_type = target_type

    @property
    def lr_inner(self) -> float:
        return self.args.inner_lr

    @lr_inner.setter
    def lr_inner(self, new_val: float):
        self.args.inner_lr = new_val