Inzynierka_Gwiazdy/machine_learning/Lib/site-packages/sklearn/tree/_utils.pxd

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2023-09-20 19:46:58 +02:00
# 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
ctypedef cnp.npy_float32 DTYPE_t # Type of X
ctypedef cnp.npy_float64 DOUBLE_t # Type of y, sample_weight
ctypedef cnp.npy_intp SIZE_t # Type for indices and counters
ctypedef cnp.npy_int32 INT32_t # Signed 32 bit integer
ctypedef cnp.npy_uint32 UINT32_t # Unsigned 32 bit integer
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.
RAND_R_MAX = 0x7FFFFFFF
# 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 DTYPE_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.
(DTYPE_t*)
(SIZE_t*)
(unsigned char*)
(WeightedPQueueRecord*)
(DOUBLE_t*)
(DOUBLE_t**)
(Node*)
(Cell*)
(Node**)
cdef realloc_ptr safe_realloc(realloc_ptr* p, size_t nelems) nogil except *
cdef cnp.ndarray sizet_ptr_to_ndarray(SIZE_t* data, SIZE_t size)
cdef SIZE_t rand_int(SIZE_t low, SIZE_t high,
UINT32_t* random_state) nogil
cdef double rand_uniform(double low, double high,
UINT32_t* random_state) nogil
cdef double log(double x) nogil
# =============================================================================
# WeightedPQueue data structure
# =============================================================================
# A record stored in the WeightedPQueue
cdef struct WeightedPQueueRecord:
DOUBLE_t data
DOUBLE_t weight
cdef class WeightedPQueue:
cdef SIZE_t capacity
cdef SIZE_t array_ptr
cdef WeightedPQueueRecord* array_
cdef bint is_empty(self) nogil
cdef int reset(self) nogil except -1
cdef SIZE_t size(self) nogil
cdef int push(self, DOUBLE_t data, DOUBLE_t weight) nogil except -1
cdef int remove(self, DOUBLE_t data, DOUBLE_t weight) nogil
cdef int pop(self, DOUBLE_t* data, DOUBLE_t* weight) nogil
cdef int peek(self, DOUBLE_t* data, DOUBLE_t* weight) nogil
cdef DOUBLE_t get_weight_from_index(self, SIZE_t index) nogil
cdef DOUBLE_t get_value_from_index(self, SIZE_t index) nogil
# =============================================================================
# WeightedMedianCalculator data structure
# =============================================================================
cdef class WeightedMedianCalculator:
cdef SIZE_t initial_capacity
cdef WeightedPQueue samples
cdef DOUBLE_t total_weight
cdef SIZE_t k
cdef DOUBLE_t sum_w_0_k # represents sum(weights[0:k])
# = w[0] + w[1] + ... + w[k-1]
cdef SIZE_t size(self) nogil
cdef int push(self, DOUBLE_t data, DOUBLE_t weight) nogil except -1
cdef int reset(self) nogil except -1
cdef int update_median_parameters_post_push(
self, DOUBLE_t data, DOUBLE_t weight,
DOUBLE_t original_median) nogil
cdef int remove(self, DOUBLE_t data, DOUBLE_t weight) nogil
cdef int pop(self, DOUBLE_t* data, DOUBLE_t* weight) nogil
cdef int update_median_parameters_post_remove(
self, DOUBLE_t data, DOUBLE_t weight,
DOUBLE_t original_median) nogil
cdef DOUBLE_t get_median(self) nogil