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- 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))
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