Old engine for Continuous Time Bayesian Networks. Superseded by reCTBN. 🐍
https://github.com/madlabunimib/PyCTBN
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30 lines
1.6 KiB
30 lines
1.6 KiB
4 years ago
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from libc.stdint cimport (uint8_t, uint16_t, uint32_t, uint64_t,
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int8_t, int16_t, int32_t, int64_t, intptr_t)
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import numpy as np
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cimport numpy as np
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ctypedef np.npy_bool bool_t
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from numpy.random cimport bitgen_t
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cdef inline uint64_t _gen_mask(uint64_t max_val) nogil:
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"""Mask generator for use in bounded random numbers"""
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# Smallest bit mask >= max
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cdef uint64_t mask = max_val
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mask |= mask >> 1
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mask |= mask >> 2
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mask |= mask >> 4
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mask |= mask >> 8
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mask |= mask >> 16
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mask |= mask >> 32
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return mask
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cdef object _rand_uint64(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_uint32(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_uint16(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_uint8(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_bool(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_int64(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_int32(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_int16(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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cdef object _rand_int8(object low, object high, object size, bint use_masked, bint closed, bitgen_t *state, object lock)
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