From 8cdb00cdb10200e824015ece4a94485e93857352 Mon Sep 17 00:00:00 2001
From: Cathy Yeh <cathy@driver.xyz>
Date: Fri, 8 Dec 2017 16:00:14 -0800
Subject: bernoulli AND cpd

---
 beliefs/factors/bernoulli_and_cpd.py | 42 ++++++++++++++++++++++++++++++++++++
 1 file changed, 42 insertions(+)
 create mode 100644 beliefs/factors/bernoulli_and_cpd.py

diff --git a/beliefs/factors/bernoulli_and_cpd.py b/beliefs/factors/bernoulli_and_cpd.py
new file mode 100644
index 0000000..fb86135
--- /dev/null
+++ b/beliefs/factors/bernoulli_and_cpd.py
@@ -0,0 +1,42 @@
+import numpy as np
+
+from beliefs.factors.cpd import TabularCPD
+
+
+class BernoulliAndCPD(TabularCPD):
+    """CPD class for a Bernoulli random variable whose relationship to its
+    parents (also Bernoulli random variables) is described by AND logic.
+
+    If all of the variable's parents are True, then the variable
+    is True, and False otherwise.
+    """
+    def __init__(self, variable, parents=[]):
+        """
+        Args:
+          variable: int or string
+          parents: optional, list of int and/or strings
+        """
+        super().__init__(variable=variable,
+                         variable_card=2,
+                         parents=parents,
+                         parents_card=[2]*len(parents),
+                         values=[])
+        self._values = []
+
+    @property
+    def values(self):
+        if len(self._values) == 0:
+            self._values = self._build_kwise_values_array(len(self.variables))
+            self._values = self._values.reshape(self.cardinality)
+        return self._values
+
+    @staticmethod
+    def _build_kwise_values_array(k):
+        # special case a completely independent factor, and
+        # return the uniform prior
+        if k == 1:
+            return np.array([0.5, 0.5])
+
+        return np.array(
+            [1.]*(2**(k-1)-1) + [0.] + [0.,]*(2**(k-1)-1) + [1.]
+        )
-- 
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