def condition(self):
"""
Generate condition corresponding to this fulfillment.
An important property of crypto-conditions is that the condition can always
be derived from the fulfillment. This makes it very easy to post
fulfillments to a system without having to specify which condition the
relate to. The system can keep an index of conditions and look up any
matching events related to that condition.
Return:
Condition: Condition corresponding to this fulfillment.
"""
condition = Condition()
condition.type_id = self.type_id
condition.hash = self.generate_hash()
condition.cost = self.calculate_cost()
condition.subtypes = self.subtypes
return condition
def condition(self):
"""
Generate condition corresponding to this fulfillment.
An important property of crypto-conditions is that the condition can always
be derived from the fulfillment. This makes it very easy to post
fulfillments to a system without having to specify which condition the
relate to. The system can keep an index of conditions and look up any
matching events related to that condition.
Return:
Condition: Condition corresponding to this fulfillment.
"""
condition = Condition()
condition.type_id = self.type_id
condition.hash = self.generate_hash()
condition.cost = self.calculate_cost()
condition.subtypes = self.subtypes
return condition
def test_condition_validate():
from cryptoconditions.condition import Condition
# lets set a known type_id so that the TypeRegistry can return the correct
# condition type
condition = Condition()
condition.type_id = 0
# subtypes can have at most 32 bits or else raise a value error
condition.subtypes = range(Condition.MAX_SAFE_SUBTYPES + 1)
with raises(ValueError):
condition.validate()
# raises a ValueError if there is unsuported subtype
condition.subtypes = set(['magic'])
with raises(ValueError):
condition.validate()
# raises a ValueError if the cost if higher than MAX_COST
condition.subtypes = set()
condition.cost = Condition.MAX_COST + 1
with raises(ValueError):
condition.validate()
