def __test_ex_defaults(adapted_item_data):
assert is_not_a_number(adapted_item_data.get("ex_average_back_price"))
assert adapted_item_data.get("ex_back_size") == 0
assert is_not_a_number(adapted_item_data.get("ex_average_lay_price"))
assert adapted_item_data.get("ex_lay_size") == 0
assert is_not_a_number(adapted_item_data.get("ex_offered_back_price"))
assert is_not_a_number(adapted_item_data.get("ex_offered_lay_price"))
def test_inverse_price():
GIVEN("a price")
buy_price = 2
WHEN("we calculate the inverse")
sell_price = calc_inverse_price(buy_price)
THEN("the correct price is returned")
assert sell_price == 2
GIVEN("another valid price")
buy_price = 1.5
WHEN("we calculate the sell price")
sell_price = calc_inverse_price(buy_price)
THEN("the correct price is returned")
assert sell_price == 1 / (1 - (1 / buy_price))
GIVEN("a string price")
buy_price = "a price"
WHEN("we calculate the sell price")
sell_price = calc_inverse_price(buy_price)
THEN("the sell price is shown to be not a number")
assert is_not_a_number(sell_price)
GIVEN("a negative price")
buy_price = -2
WHEN("we calculate the sell price")
sell_price = calc_inverse_price(buy_price)
THEN("the sell price is shown to be not a number")
assert is_not_a_number(sell_price)
GIVEN("a price between 0 and 1")
buy_price = 0.99
WHEN("we calculate the sell price")
sell_price = calc_inverse_price(buy_price)
THEN("the sell price is shown to be not a number")
assert is_not_a_number(sell_price)
def __calc_valid_records(self):
valid_records = 0
for i, item in enumerate(self.__weights):
if (not is_not_a_number(item) and item > 0
and not is_not_a_number(self.__x[i])
and not is_not_a_number(self.__y[i])):
valid_records += 1
return valid_records
def test_not_nan():
GIVEN("a value that is a number")
number = 1
WHEN("we check if the value is not a number")
true = is_not_a_number(number)
THEN("it is not")
assert not true
GIVEN("a None value")
none = None
WHEN("we check if the value is not a number")
true = is_not_a_number(none)
THEN("it is not")
assert not true
def test_nan():
GIVEN("a value that is not a number")
nan = not_a_number()
WHEN("we check if the value is not a number")
true = is_not_a_number(nan)
THEN("it is")
assert true
def test_buy_metadata(required_variables):
GIVEN("a dictionary with the correct information")
item_data = __get_data()
variables = [
"id",
"removal_date",
"sp_back_size",
"ex_back_size",
"sp_back_price",
"ex_average_back_price",
"ex_offered_back_price",
]
required_variables.return_value = variables
WHEN("we instantiate the item handler object")
adapted_item_data = ItemAdapter(item_data).get_adapted_data()
THEN("the object has all of the correct information")
assert adapted_item_data.get("id") == __get_id(item_data)
assert is_not_a_number(adapted_item_data.get("removal_date"))
assert adapted_item_data.get("sp_back_size") == __calc_sp_back_size(item_data)
assert adapted_item_data.get("ex_back_size") == __calc_ex_back_size(item_data)
assert adapted_item_data.get("sp_back_price") == __get_sp_back_price(item_data)
assert adapted_item_data.get(
"ex_average_back_price"
) == __calc_ex_average_back_price(item_data)
assert adapted_item_data.get(
"ex_offered_back_price"
) == __get_ex_offered_back_price(item_data)
assert len(adapted_item_data.keys()) == len(variables)
def test_try_divide_zero():
GIVEN("a numerator and an invalid divisor")
numerator = 1
denominator = 0
WHEN("we try to divide the numerator by NaN")
result = try_divide(value=numerator, denominator=denominator)
THEN("the result is as expected")
assert is_not_a_number(result)
def test_try_divide_nan():
GIVEN("a numerator, a divisor and a NaN value")
numerator = 1
denominator = 2
nan = not_a_number()
WHEN("we try to divide the numerator by NaN")
result = try_divide(value=numerator, denominator=nan)
THEN("the result is as expected")
assert is_not_a_number(result)
WHEN("we try to divide NaN by the denominator")
result = try_divide(value=nan, denominator=denominator)
THEN("the result is as expected")
assert is_not_a_number(result)
WHEN("we try to divide NaN by NaN")
result = try_divide(value=nan, denominator=nan)
THEN("the result is as expected")
assert is_not_a_number(result)
def test_empty_ex(required_variables):
GIVEN("a dictionary which has an empty ex attribute")
item_data = __get_data(ex={})
required_variables.return_value = all_variables
WHEN("we instantiate the item handler object")
adapted_item_data = ItemAdapter(item_data).get_adapted_data()
THEN("the object has all of the correct defaults applied")
assert adapted_item_data.get("id") == __get_id(item_data)
__test_ex_defaults(adapted_item_data=adapted_item_data)
__test_sp_values(adapted_item_data=adapted_item_data, item_data=item_data)
assert is_not_a_number(adapted_item_data.get("removal_date"))
def test_invalid_near_price(required_variables):
GIVEN("a dictionary which has Infinity in place of the nearPrice")
item_data = __get_data(sp=__get_inf_sp())
required_variables.return_value = all_variables
WHEN("we instantiate the item handler object")
adapted_item_data = ItemAdapter(item_data).get_adapted_data()
THEN("the object has all of the correct defaults applied")
assert adapted_item_data.get("id") == __get_id(item_data)
__test_sp_defaults(adapted_item_data=adapted_item_data, item_data=item_data)
__test_ex_values(adapted_item_data=adapted_item_data, item_data=item_data)
assert is_not_a_number(adapted_item_data.get("removal_date"))
def test_create_item(required_variables):
GIVEN("a dictionary with the correct information")
item_data = __get_data()
required_variables.return_value = all_variables
WHEN("we instantiate the item handler object")
adapted_item_data = ItemAdapter(item_data).get_adapted_data()
THEN("the object has all of the correct information")
assert adapted_item_data.get("id") == __get_id(item_data)
__test_sp_values(adapted_item_data=adapted_item_data, item_data=item_data)
__test_ex_values(adapted_item_data=adapted_item_data, item_data=item_data)
assert is_not_a_number(adapted_item_data.get("removal_date"))
def test_nan_comp_data():
GIVEN("a simple set of data and a data transform handler")
nan = not_a_number()
items = (
{
"id": 123,
"price": 0.476190476190476
},
{
"id": 456,
"price": 0.476190476190476
},
{
"id": 789,
"price": nan
},
)
handler = TransformHandler()
handler._set_items(items=items)
WHEN("we calculate the compositional data")
compositional_data = handler._get_compositional_data(price_name="price")
THEN("a list of dictionaries with the correct values is returned")
assert compositional_data[0:2] == [
{
"id": 123,
"compositional_probability": 0.5,
"compositional_price": 2
},
{
"id": 456,
"compositional_probability": 0.5,
"compositional_price": 2
},
]
nan_entry = compositional_data[2]
assert nan_entry.get("id") == 789
assert is_not_a_number(nan_entry.get("compositional_probability"))
assert is_not_a_number(nan_entry.get("compositional_price"))
def test_get_last_column_entry():
GIVEN("a simple set of data and a container")
data = __get_test_dict()
data_container = DataContainer(data)
WHEN("we get the last entry for A")
last_a = data_container.get_last_column_entry("A")
THEN("the correct value is returned")
assert last_a == data.get("A")[-1]
assert isinstance(last_a, float)
WHEN("we get the last entry for B")
last_b = data_container.get_last_column_entry("B")
THEN("the correct value is returned")
assert last_b == data.get("B")[-1]
assert isinstance(last_b, str)
WHEN("we get the last entry for C")
last_c = data_container.get_last_column_entry("C")
THEN("the correct value is returned")
assert is_not_a_number(last_c)
def test_nan_comp_data():
GIVEN("a simple set of data and a probability handler")
nan = not_a_number()
items = (
{
"id": 123,
"sp_probability": 0.476190476190476
},
{
"id": 456,
"sp_probability": 0.476190476190476
},
{
"id": 789,
"sp_probability": nan
},
)
handler = ProbabilityHandler(items=items,
name="sp_probability",
correct_probability=1)
WHEN("we calculate the compositional probabilities")
compositional_probabilities = handler.calc_compositional_probabilities()
THEN("a list of dictionaries with the correct values is returned")
assert compositional_probabilities[0:2] == [
{
"id": 123,
"compositional_probability": 0.5
},
{
"id": 456,
"compositional_probability": 0.5
},
]
nan_entry = compositional_probabilities[2]
assert nan_entry.get("id") == 789
assert is_not_a_number(nan_entry.get("compositional_probability"))
def __test_sp_defaults(adapted_item_data, item_data):
assert adapted_item_data.get("id") == __get_id(item_data)
assert is_not_a_number(adapted_item_data.get("sp_back_price"))
assert adapted_item_data.get("sp_back_size") == 0
assert is_not_a_number(adapted_item_data.get("sp_lay_price"))
assert adapted_item_data.get("sp_lay_size") == 0
def is_a_number(value):
return type(value) in [int, float, complex] and not is_not_a_number(value)