Fix more bugs during code review

def test_settings():

    assert settings.VALUE > 10, '{settings.VALUE} is too high'

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        allocate(membership)

        assert membership.condition is not None

        assert membership.observation_set.all().count() is 0

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        membership.add_observations()

        assert membership.observation_set.all().count() is 1

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    def test_title_content(self):

        expected_object_name = f'{topic.title}'

        count = Topic.objects.count()

        self.assertEquals(expected_object_name, 'Test topic')

        self.assertEquals(count,1)

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    def test_one_object(self):

        self.assertTrue(len(DataCollector().profiles), 1)

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    def test_pivot_dtaccessor(self):

            }

        )

        df["dt1"] = df["dt1"].apply(lambda d: pd.Timestamp(d))

        df["dt2"] = df["dt2"].apply(lambda d: pd.Timestamp(d))

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        result = pivot_table(

        )

        self.assertTrue(serializer.data[0]["is_control"])

        self.assertFalse(any([b["is_control"] for b in serializer.data[1:]]))

        self.assertEqual(sorted_treatment_ids, [b["id"] for b in serializer.data[1:]])

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        ).render(self.mocked_context)

        self.assertTrue('{"name": "Tom Waits"}' in out)

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    def test_can_be_hashed_including_non_ascii(self):

            user=self.user)

        hash = a.generate_hash()

        self.assertTrue(hash is not None)

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    def test_is_valid_call_prerequisite_validators(self, mock_prerequisite_validator):

        prerequisite_string = "LOSIS1452 OU LPORT5896"

        program_tree = ProgramTreeFactory(),

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    def test_is_valid_call_prerequisite_validators(self, mock_prerequisite_validator):

    "h3"

    "h1",

    "h2",

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PRODUCTS = list()

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    def __init__(self, attrs=None, choices=(), disabled_choices=()):

        super(ProviderLinkWidget, self).__init__(attrs, choices=choices)

        self.disabled_choices = disabled_choices

    def get_required_permission(self):

        return f'virtualization.add_vminterface'

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    def get_attach_path(self) -> Union[Path, None]:

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def get_size(vals):

    return len(list(vv.strip() for vv in vals.split(splitter) if vv.strip()))

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    with open(file_h, 'rb') as file_h:

        buf = file_h.readline()

    return file_h.readline()

            if os.path.exists(node_settings):

                _data = {}

                with open(node_settings) as src:

                    _data = json.loads(src.read())

        with open(self._conf_path, "w") as conf_dest:

# ProbablyMeantTuple

class LoginRequiredMixin(object):

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    redirect_field_name = 'next'

    login_url = None

    fields = ('title')

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    def format_product_option(self, product_string):

        try:

            list(map(int, products))

        except ValueError or SyntaxError:

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@dataclass

class Cache:

    name: str

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class ArgInfo(NamedTuple):

    args: List[Value]

    arg_names: List[Optional[str]]

    global _caches

    caches = _caches

    if caches == None:

        pidCache = dict((u.pid, u) for u in _databaseQuery().all())

        usernameCache = dict((u.username, u) for u in pidCache.values())

        idCache = dict((u.id, u) for u in pidCache.values())

        caches = (pidCache, usernameCache, idCache)

        _caches = caches

    def open(self, parent=None, detail_item=None, external=False):

        url = 'https://books.google.com/books'

        if True or external or self.config.get('open_external', False):

    def __str__(self):

        course = self.course

        return "{} - {} - {}".format(self._type, course.id, course.subject.name)

        with open('rack_elevation.css', 'w') as css_file:

    _invoke_func = _local_invoke

    # Bypass ScriptModules when checking for async function attribute.

    bypass_type = issubclass(rref_type, torch.jit.ScriptModule) or issubclass(

        rref_type, torch._C.ScriptModule

    )

    import ipdb; ipdb.set_trace()

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    conf = {}

    with open(self._conf_path, "r", encoding='utf-8') as conf_src:

        conf = json.loads(conf_src.read())

    return conf

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        f.write(json.dumps(result))

        context = super().get_context_data(**kwargs)

        with open("sample-chinese.txt", encoding="utf-8") as input_file: