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# ConditionalProbabilityTable.pxd
# Contact: Jacob Schreiber <jmschreiber91@gmail.com>
import numpy
cimport numpy
from .distributions cimport MultivariateDistribution
cdef class ConditionalProbabilityTable(MultivariateDistribution):
cdef double* values
cdef double* counts
cdef double* marginal_counts
cdef int n, k
cdef public int n_columns
cdef int* idxs
cdef int* marginal_idxs
cdef public numpy.ndarray column_idxs
cdef int* column_idxs_ptr
cdef public list parents, parameters, dtypes
cdef public dict keymap
cdef public dict marginal_keymap
cdef public int m
cdef void __summarize(self, items, double [:] weights)
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