from sklearn.utils._typedefs cimport intp_t, float64_t

{{for name_suffix in ['64', '32']}}

from sklearn.metrics._pairwise_distances_reduction._base cimport BaseDistancesReduction{{name_suffix}}
from sklearn.metrics._pairwise_distances_reduction._middle_term_computer cimport MiddleTermComputer{{name_suffix}}

cdef class ArgKmin{{name_suffix}}(BaseDistancesReduction{{name_suffix}}):
    """float{{name_suffix}} implementation of the ArgKmin."""

    cdef:
        intp_t k

        intp_t[:, ::1] argkmin_indices
        float64_t[:, ::1] argkmin_distances

        # Used as array of pointers to private datastructures used in threads.
        float64_t ** heaps_r_distances_chunks
        intp_t ** heaps_indices_chunks


cdef class EuclideanArgKmin{{name_suffix}}(ArgKmin{{name_suffix}}):
    """EuclideanDistance-specialisation of ArgKmin{{name_suffix}}."""
    cdef:
        MiddleTermComputer{{name_suffix}} middle_term_computer
        const float64_t[::1] X_norm_squared
        const float64_t[::1] Y_norm_squared

        bint use_squared_distances

{{endfor}}