def test_roundtrip_floats(self):
v = "2.2"
as_python_float = json_loads(v)
self.assertTrue(isinstance(as_python_float, float))
as_decimal = to_decimal(as_python_float)
self.assertTrue(isinstance(as_decimal, decimal.Decimal))
self.assertEqual(decimal.Decimal("2.2"), as_decimal)
self.assertEqual("2.2", json_dumps(json_loads(v)))
v = "2.2639520464"
as_python_float = json_loads(v)
self.assertTrue(isinstance(as_python_float, float))
as_decimal = to_decimal(as_python_float)
self.assertTrue(isinstance(as_decimal, decimal.Decimal))
self.assertEqual(decimal.Decimal(v), as_decimal)
self.assertEqual(v, json_dumps(json_loads(v)))
def __init__(self, value):
super(NumericRangeWinnowValue, self).__init__(value)
self.max = to_decimal(value[u"max"])
self.min = to_decimal(value[u"min"])
if self.max < self.min:
raise OptionsExceptionFailedValidation("NumericRangeSieveValue: max %s less than min %s" % (self.max, self.min))
def test_roundtrip_floats(self):
v = "2.2"
as_python_float = json_loads(v)
self.assertTrue(isinstance(as_python_float, float))
as_decimal = to_decimal(as_python_float)
self.assertTrue(isinstance(as_decimal, decimal.Decimal))
self.assertEqual(decimal.Decimal("2.2"), as_decimal)
self.assertEqual("2.2", json_dumps(json_loads(v)))
v = "2.2639520464"
as_python_float = json_loads(v)
self.assertTrue(isinstance(as_python_float, float))
as_decimal = to_decimal(as_python_float)
self.assertTrue(isinstance(as_decimal, decimal.Decimal))
self.assertEqual(decimal.Decimal(v), as_decimal)
self.assertEqual(v, json_dumps(json_loads(v)))
def __init__(self, value):
super(NumericStepWinnowValue, self).__init__(value)
self.start = to_decimal(value[u"start"])
self.step = to_decimal(value[u"step"])
if self.first_value() is None:
raise OptionsExceptionFailedValidation("NumericStepSieveValue: empty set")
def __init__(self, value):
super(NumericStepWinnowValue, self).__init__(value)
self.start = to_decimal(value[u"start"])
self.step = to_decimal(value[u"step"])
if self.first_value() is None:
raise OptionsExceptionFailedValidation(
"NumericStepSieveValue: empty set")
def __init__(self, value):
super(NumericRangeWinnowValue, self).__init__(value)
self.max = to_decimal(value[u"max"])
self.min = to_decimal(value[u"min"])
if self.max < self.min:
raise OptionsExceptionFailedValidation(
"NumericRangeSieveValue: max %s less than min %s" %
(self.max, self.min))
def __init__(self, value):
super(NumericSetWinnowValue, self).__init__(value)
if isinstance(value, list) or isinstance(value, set):
self.as_list = value
else:
as_list = [to_decimal(d) for d in value[u"value"]]
if not (isinstance(as_list, list) or isinstance(as_list, set)):
raise OptionsExceptionFailedValidation(
"NumericNumberSieveValue must be a Decimal")
self.as_list = as_list
for v in self.as_list:
if not isinstance(v, Decimal):
raise OptionsExceptionFailedValidation(
"NumericSetSieveValue all values must be Decimals")
if len(self.as_list) == 0:
raise OptionsExceptionFailedValidation(
"NumericSetSieveValue: empty set")
if len(self.as_list) == 1:
raise OptionsExceptionFailedValidation(
"NumericSetSieveValue: set with one value should have been cast into NumericNumberSieveValue"
)
def from_value(cls, value):
if isinstance(value, list):
try:
decimal_list = [to_decimal(v) for v in value]
except:
raise OptionsExceptionFailedValidation(
"NumericSieveValue unrecognised value type")
numeric = NumericSetWinnowValue(decimal_list)
if numeric is None:
raise OptionsExceptionFailedValidation(
"NumericSieveValue: empty set")
return numeric
elif isinstance(value, dict):
numeric_type = value[u"type"]
if numeric_type == VALUE_TYPE_NUMERIC_NUMBER:
return NumericNumberWinnowValue(value)
elif numeric_type == VALUE_TYPE_NUMERIC_SET:
numeric = NumericSetWinnowValue(value)
if numeric is None:
raise OptionsExceptionFailedValidation(
"NumericSieveValue: empty set")
return numeric
elif numeric_type == VALUE_TYPE_NUMERIC_RANGE:
return NumericRangeWinnowValue(value)
elif numeric_type == VALUE_TYPE_NUMERIC_STEP:
step = NumericStepWinnowValue(value)
first = step.first_value()
if first is None:
raise OptionsExceptionFailedValidation(
"NumericSieveValue: empty set")
elif first + step.step > step.max:
return NumericNumberWinnowValue(first)
else:
return step
else:
try:
d = to_decimal(value)
except:
raise OptionsExceptionFailedValidation(
"NumericSieveValue unrecognised value type")
return NumericNumberWinnowValue(d)
def __init__(self, value):
super(NumericNumberWinnowValue, self).__init__(value)
if isinstance(value, Decimal):
self.number = value
else:
number = to_decimal(value[u"value"])
if not isinstance(number, Decimal):
raise OptionsExceptionFailedValidation("NumericNumberSieveValue must be a Decimal")
self.number = number
def __init__(self, value):
super(NumericNumberWinnowValue, self).__init__(value)
if isinstance(value, Decimal):
self.number = value
else:
number = to_decimal(value[u"value"])
if not isinstance(number, Decimal):
raise OptionsExceptionFailedValidation(
"NumericNumberSieveValue must be a Decimal")
self.number = number
def from_value(cls, value):
if isinstance(value, list):
try:
decimal_list = [to_decimal(v) for v in value]
except:
raise OptionsExceptionFailedValidation("NumericSieveValue unrecognised value type")
numeric = NumericSetWinnowValue(decimal_list)
if numeric is None:
raise OptionsExceptionFailedValidation("NumericSieveValue: empty set")
return numeric
elif isinstance(value, dict):
numeric_type = value[u"type"]
if numeric_type == VALUE_TYPE_NUMERIC_NUMBER:
return NumericNumberWinnowValue(value)
elif numeric_type == VALUE_TYPE_NUMERIC_SET:
numeric = NumericSetWinnowValue(value)
if numeric is None:
raise OptionsExceptionFailedValidation("NumericSieveValue: empty set")
return numeric
elif numeric_type == VALUE_TYPE_NUMERIC_RANGE:
return NumericRangeWinnowValue(value)
elif numeric_type == VALUE_TYPE_NUMERIC_STEP:
step = NumericStepWinnowValue(value)
first = step.first_value()
if first is None:
raise OptionsExceptionFailedValidation("NumericSieveValue: empty set")
elif first + step.step > step.max:
return NumericNumberWinnowValue(first)
else:
return step
else:
try:
d = to_decimal(value)
except:
raise OptionsExceptionFailedValidation("NumericSieveValue unrecognised value type")
return NumericNumberWinnowValue(d)
def __init__(self, value):
if isinstance(value, dict):
self.name = value.get("name")
self.description = value.get("description")
self.image_url = value.get("image_url")
self.scopes = value.get("scopes")
self._default = to_decimal(value.get("default")) if value.get("default") else None
else:
self.name = None
self.description = None
self.image_url = None
self.scopes = None
self._default = None
def __init__(self, value):
if isinstance(value, dict):
self.name = value.get("name")
self.description = value.get("description")
self.image_url = value.get("image_url")
self.scopes = value.get("scopes")
self._default = to_decimal(
value.get("default")) if value.get("default") else None
else:
self.name = None
self.description = None
self.image_url = None
self.scopes = None
self._default = None
def __init__(self, value):
super(NumericSetWinnowValue, self).__init__(value)
if isinstance(value, list) or isinstance(value, set):
self.as_list = value
else:
as_list = [to_decimal(d) for d in value[u"value"]]
if not (isinstance(as_list, list) or isinstance(as_list, set)):
raise OptionsExceptionFailedValidation("NumericNumberSieveValue must be a Decimal")
self.as_list = as_list
for v in self.as_list:
if not isinstance(v, Decimal):
raise OptionsExceptionFailedValidation("NumericSetSieveValue all values must be Decimals")
if len(self.as_list) == 0:
raise OptionsExceptionFailedValidation("NumericSetSieveValue: empty set")
if len(self.as_list) == 1:
raise OptionsExceptionFailedValidation("NumericSetSieveValue: set with one value should have been cast into NumericNumberSieveValue")