Inzynierka/Lib/site-packages/sklearn/metrics/_dist_metrics.pxd

cimport numpy as cnp
from libc.math cimport sqrt, exp

from ..utils._typedefs cimport DTYPE_t, ITYPE_t, SPARSE_INDEX_TYPE_t

######################################################################
# Inline distance functions
#
#  We use these for the default (euclidean) case so that they can be
#  inlined.  This leads to faster computation for the most common case
cdef inline DTYPE_t euclidean_dist(
    const DTYPE_t* x1,
    const DTYPE_t* x2,
    ITYPE_t size,
) nogil except -1:
    cdef DTYPE_t tmp, d=0
    cdef cnp.intp_t j
    for j in range(size):
        tmp = <DTYPE_t> (x1[j] - x2[j])
        d += tmp * tmp
    return sqrt(d)


cdef inline DTYPE_t euclidean_rdist(
    const DTYPE_t* x1,
    const DTYPE_t* x2,
    ITYPE_t size,
) nogil except -1:
    cdef DTYPE_t tmp, d=0
    cdef cnp.intp_t j
    for j in range(size):
        tmp = <DTYPE_t>(x1[j] - x2[j])
        d += tmp * tmp
    return d


cdef inline DTYPE_t euclidean_dist_to_rdist(const DTYPE_t dist) nogil except -1:
    return dist * dist


cdef inline DTYPE_t euclidean_rdist_to_dist(const DTYPE_t dist) nogil except -1:
    return sqrt(dist)


######################################################################
# DistanceMetric base class
cdef class DistanceMetric:
    # The following attributes are required for a few of the subclasses.
    # we must define them here so that cython's limited polymorphism will work.
    # Because we don't expect to instantiate a lot of these objects, the
    # extra memory overhead of this setup should not be an issue.
    cdef DTYPE_t p
    cdef DTYPE_t[::1] vec
    cdef DTYPE_t[:, ::1] mat
    cdef ITYPE_t size
    cdef object func
    cdef object kwargs

    cdef DTYPE_t dist(
        self,
        const DTYPE_t* x1,
        const DTYPE_t* x2,
        ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t rdist(
        self,
        const DTYPE_t* x1,
        const DTYPE_t* x2,
        ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t dist_csr(
        self,
        const DTYPE_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const DTYPE_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t x1_start,
        const SPARSE_INDEX_TYPE_t x1_end,
        const SPARSE_INDEX_TYPE_t x2_start,
        const SPARSE_INDEX_TYPE_t x2_end,
        const ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t rdist_csr(
        self,
        const DTYPE_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const DTYPE_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t x1_start,
        const SPARSE_INDEX_TYPE_t x1_end,
        const SPARSE_INDEX_TYPE_t x2_start,
        const SPARSE_INDEX_TYPE_t x2_end,
        const ITYPE_t size,
    ) nogil except -1

    cdef int pdist(
        self,
        const DTYPE_t[:, ::1] X,
        DTYPE_t[:, ::1] D,
    ) except -1

    cdef int cdist(
        self,
        const DTYPE_t[:, ::1] X,
        const DTYPE_t[:, ::1] Y,
        DTYPE_t[:, ::1] D,
    ) except -1

    cdef int pdist_csr(
        self,
        const DTYPE_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const SPARSE_INDEX_TYPE_t[:] x1_indptr,
        const ITYPE_t size,
        DTYPE_t[:, ::1] D,
    ) nogil except -1

    cdef int cdist_csr(
        self,
        const DTYPE_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const SPARSE_INDEX_TYPE_t[:] x1_indptr,
        const DTYPE_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t[:] x2_indptr,
        const ITYPE_t size,
        DTYPE_t[:, ::1] D,
    ) nogil except -1

    cdef DTYPE_t _rdist_to_dist(self, DTYPE_t rdist) nogil except -1

    cdef DTYPE_t _dist_to_rdist(self, DTYPE_t dist) nogil except -1

######################################################################
# Inline distance functions
#
#  We use these for the default (euclidean) case so that they can be
#  inlined.  This leads to faster computation for the most common case
cdef inline DTYPE_t euclidean_dist32(
    const cnp.float32_t* x1,
    const cnp.float32_t* x2,
    ITYPE_t size,
) nogil except -1:
    cdef DTYPE_t tmp, d=0
    cdef cnp.intp_t j
    for j in range(size):
        tmp = <DTYPE_t> (x1[j] - x2[j])
        d += tmp * tmp
    return sqrt(d)


cdef inline DTYPE_t euclidean_rdist32(
    const cnp.float32_t* x1,
    const cnp.float32_t* x2,
    ITYPE_t size,
) nogil except -1:
    cdef DTYPE_t tmp, d=0
    cdef cnp.intp_t j
    for j in range(size):
        tmp = <DTYPE_t>(x1[j] - x2[j])
        d += tmp * tmp
    return d


cdef inline DTYPE_t euclidean_dist_to_rdist32(const cnp.float32_t dist) nogil except -1:
    return dist * dist


cdef inline DTYPE_t euclidean_rdist_to_dist32(const cnp.float32_t dist) nogil except -1:
    return sqrt(dist)


######################################################################
# DistanceMetric32 base class
cdef class DistanceMetric32:
    # The following attributes are required for a few of the subclasses.
    # we must define them here so that cython's limited polymorphism will work.
    # Because we don't expect to instantiate a lot of these objects, the
    # extra memory overhead of this setup should not be an issue.
    cdef DTYPE_t p
    cdef DTYPE_t[::1] vec
    cdef DTYPE_t[:, ::1] mat
    cdef ITYPE_t size
    cdef object func
    cdef object kwargs

    cdef DTYPE_t dist(
        self,
        const cnp.float32_t* x1,
        const cnp.float32_t* x2,
        ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t rdist(
        self,
        const cnp.float32_t* x1,
        const cnp.float32_t* x2,
        ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t dist_csr(
        self,
        const cnp.float32_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const cnp.float32_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t x1_start,
        const SPARSE_INDEX_TYPE_t x1_end,
        const SPARSE_INDEX_TYPE_t x2_start,
        const SPARSE_INDEX_TYPE_t x2_end,
        const ITYPE_t size,
    ) nogil except -1

    cdef DTYPE_t rdist_csr(
        self,
        const cnp.float32_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const cnp.float32_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t x1_start,
        const SPARSE_INDEX_TYPE_t x1_end,
        const SPARSE_INDEX_TYPE_t x2_start,
        const SPARSE_INDEX_TYPE_t x2_end,
        const ITYPE_t size,
    ) nogil except -1

    cdef int pdist(
        self,
        const cnp.float32_t[:, ::1] X,
        DTYPE_t[:, ::1] D,
    ) except -1

    cdef int cdist(
        self,
        const cnp.float32_t[:, ::1] X,
        const cnp.float32_t[:, ::1] Y,
        DTYPE_t[:, ::1] D,
    ) except -1

    cdef int pdist_csr(
        self,
        const cnp.float32_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const SPARSE_INDEX_TYPE_t[:] x1_indptr,
        const ITYPE_t size,
        DTYPE_t[:, ::1] D,
    ) nogil except -1

    cdef int cdist_csr(
        self,
        const cnp.float32_t* x1_data,
        const SPARSE_INDEX_TYPE_t[:] x1_indices,
        const SPARSE_INDEX_TYPE_t[:] x1_indptr,
        const cnp.float32_t* x2_data,
        const SPARSE_INDEX_TYPE_t[:] x2_indices,
        const SPARSE_INDEX_TYPE_t[:] x2_indptr,
        const ITYPE_t size,
        DTYPE_t[:, ::1] D,
    ) nogil except -1

    cdef DTYPE_t _rdist_to_dist(self, cnp.float32_t rdist) nogil except -1

    cdef DTYPE_t _dist_to_rdist(self, cnp.float32_t dist) nogil except -1