in misc/CCSynth/CC/DataInsights/src/prose/datainsights/_assertion/_assertion_helper.py [0:0]
def populate(self, constrained_invariants):
self.constrained_invariants = constrained_invariants
self.number_of_invs = sum(
[inv.data_assertion.number_of_invs for inv in self.constrained_invariants]
)
self._valid = self.number_of_invs > 0
if not self._valid:
return
self.inv_matrix = np.concatenate(
[c_inv.data_assertion.inv_matrix for c_inv in self.constrained_invariants],
axis=1,
)
self.inv_names = []
for c_inv in self.constrained_invariants:
self.inv_names.extend(
[
"<"
+ repr(c_inv.constraint)
+ "> "
+ c_inv.data_assertion._get_name(i)
for i in range(c_inv.data_assertion.size())
]
)
self.mean = np.concatenate(
[c_inv.data_assertion.mean for c_inv in self.constrained_invariants]
)
self.min = np.concatenate(
[c_inv.data_assertion.mins for c_inv in self.constrained_invariants]
)
self.max = np.concatenate(
[c_inv.data_assertion.maxs for c_inv in self.constrained_invariants]
)
self.std_dev = np.concatenate(
[c_inv.data_assertion.std_dev for c_inv in self.constrained_invariants]
)
self.std_dev_all = np.concatenate(
[c_inv.data_assertion.std_dev_all for c_inv in self.constrained_invariants]
)
self.std_dev_inv = np.concatenate(
[c_inv.data_assertion.std_dev_inv for c_inv in self.constrained_invariants]
)