ai-content-maker/.venv/Lib/site-packages/sklearn/tree/_utils.pxd

105 lines
3.7 KiB
Cython

# Authors: Gilles Louppe <g.louppe@gmail.com>
# Peter Prettenhofer <peter.prettenhofer@gmail.com>
# Arnaud Joly <arnaud.v.joly@gmail.com>
# Jacob Schreiber <jmschreiber91@gmail.com>
# Nelson Liu <nelson@nelsonliu.me>
#
# License: BSD 3 clause
# See _utils.pyx for details.
cimport numpy as cnp
from ._tree cimport Node
from ..neighbors._quad_tree cimport Cell
from ..utils._typedefs cimport float32_t, float64_t, intp_t, int32_t, uint32_t
cdef enum:
# Max value for our rand_r replacement (near the bottom).
# We don't use RAND_MAX because it's different across platforms and
# particularly tiny on Windows/MSVC.
# It corresponds to the maximum representable value for
# 32-bit signed integers (i.e. 2^31 - 1).
RAND_R_MAX = 2147483647
# safe_realloc(&p, n) resizes the allocation of p to n * sizeof(*p) bytes or
# raises a MemoryError. It never calls free, since that's __dealloc__'s job.
# cdef float32_t *p = NULL
# safe_realloc(&p, n)
# is equivalent to p = malloc(n * sizeof(*p)) with error checking.
ctypedef fused realloc_ptr:
# Add pointer types here as needed.
(float32_t*)
(intp_t*)
(unsigned char*)
(WeightedPQueueRecord*)
(float64_t*)
(float64_t**)
(Node*)
(Cell*)
(Node**)
cdef int safe_realloc(realloc_ptr* p, size_t nelems) except -1 nogil
cdef cnp.ndarray sizet_ptr_to_ndarray(intp_t* data, intp_t size)
cdef intp_t rand_int(intp_t low, intp_t high,
uint32_t* random_state) noexcept nogil
cdef float64_t rand_uniform(float64_t low, float64_t high,
uint32_t* random_state) noexcept nogil
cdef float64_t log(float64_t x) noexcept nogil
# =============================================================================
# WeightedPQueue data structure
# =============================================================================
# A record stored in the WeightedPQueue
cdef struct WeightedPQueueRecord:
float64_t data
float64_t weight
cdef class WeightedPQueue:
cdef intp_t capacity
cdef intp_t array_ptr
cdef WeightedPQueueRecord* array_
cdef bint is_empty(self) noexcept nogil
cdef int reset(self) except -1 nogil
cdef intp_t size(self) noexcept nogil
cdef int push(self, float64_t data, float64_t weight) except -1 nogil
cdef int remove(self, float64_t data, float64_t weight) noexcept nogil
cdef int pop(self, float64_t* data, float64_t* weight) noexcept nogil
cdef int peek(self, float64_t* data, float64_t* weight) noexcept nogil
cdef float64_t get_weight_from_index(self, intp_t index) noexcept nogil
cdef float64_t get_value_from_index(self, intp_t index) noexcept nogil
# =============================================================================
# WeightedMedianCalculator data structure
# =============================================================================
cdef class WeightedMedianCalculator:
cdef intp_t initial_capacity
cdef WeightedPQueue samples
cdef float64_t total_weight
cdef intp_t k
cdef float64_t sum_w_0_k # represents sum(weights[0:k]) = w[0] + w[1] + ... + w[k-1]
cdef intp_t size(self) noexcept nogil
cdef int push(self, float64_t data, float64_t weight) except -1 nogil
cdef int reset(self) except -1 nogil
cdef int update_median_parameters_post_push(
self, float64_t data, float64_t weight,
float64_t original_median) noexcept nogil
cdef int remove(self, float64_t data, float64_t weight) noexcept nogil
cdef int pop(self, float64_t* data, float64_t* weight) noexcept nogil
cdef int update_median_parameters_post_remove(
self, float64_t data, float64_t weight,
float64_t original_median) noexcept nogil
cdef float64_t get_median(self) noexcept nogil