School/.venv/lib/python3.9/site-packages/pandas/_libs/util.pxd
Kristofers Solo 1e065cc4b2 Updated .venv
2021-11-22 17:11:45 +02:00

52 lines
1.0 KiB
Cython

cimport numpy as cnp
from numpy cimport ndarray
from pandas._libs.tslibs.util cimport *
cdef extern from "numpy/ndarraytypes.h":
void PyArray_CLEARFLAGS(ndarray arr, int flags) nogil
cdef extern from "numpy/arrayobject.h":
enum:
NPY_ARRAY_C_CONTIGUOUS
NPY_ARRAY_F_CONTIGUOUS
cdef extern from "src/headers/stdint.h":
enum: UINT8_MAX
enum: UINT16_MAX
enum: UINT32_MAX
enum: UINT64_MAX
enum: INT8_MIN
enum: INT8_MAX
enum: INT16_MIN
enum: INT16_MAX
enum: INT32_MAX
enum: INT32_MIN
enum: INT64_MAX
enum: INT64_MIN
ctypedef fused numeric:
cnp.int8_t
cnp.int16_t
cnp.int32_t
cnp.int64_t
cnp.uint8_t
cnp.uint16_t
cnp.uint32_t
cnp.uint64_t
cnp.float32_t
cnp.float64_t
cdef inline void set_array_not_contiguous(ndarray ao) nogil:
# Numpy>=1.8-compliant equivalent to:
# ao->flags &= ~(NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS);
PyArray_CLEARFLAGS(ao,
(NPY_ARRAY_C_CONTIGUOUS | NPY_ARRAY_F_CONTIGUOUS))