Skip to content

Replace * imports with explicit imports; remove unused declared const… #17470

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Sep 8, 2017
Merged

Replace * imports with explicit imports; remove unused declared const… #17470

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 0 additions & 1 deletion pandas/_libs/src/skiplist.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,6 @@ cdef double Log2(double x):
return log(x) / log(2.)

cimport numpy as np
from numpy cimport *
import numpy as np

from random import random
Expand Down
38 changes: 6 additions & 32 deletions pandas/_libs/window.pyx
View file
Open in desktop
Original file line number Diff line number Diff line change
@@ -1,55 +1,29 @@
# cython: profile=False
# cython: boundscheck=False, wraparound=False, cdivision=True

from numpy cimport *
from cython cimport Py_ssize_t

cimport numpy as np
import numpy as np

cimport cython

import_array()
np.import_array()

cimport util

from libc.stdlib cimport malloc, free

from numpy cimport NPY_INT8 as NPY_int8
from numpy cimport NPY_INT16 as NPY_int16
from numpy cimport NPY_INT32 as NPY_int32
from numpy cimport NPY_INT64 as NPY_int64
from numpy cimport NPY_FLOAT16 as NPY_float16
from numpy cimport NPY_FLOAT32 as NPY_float32
from numpy cimport NPY_FLOAT64 as NPY_float64

from numpy cimport (int8_t, int16_t, int32_t, int64_t, uint8_t, uint16_t,
uint32_t, uint64_t, float16_t, float32_t, float64_t)

int8 = np.dtype(np.int8)
int16 = np.dtype(np.int16)
int32 = np.dtype(np.int32)
int64 = np.dtype(np.int64)
float16 = np.dtype(np.float16)
float32 = np.dtype(np.float32)
float64 = np.dtype(np.float64)

cdef np.int8_t MINint8 = np.iinfo(np.int8).min
cdef np.int16_t MINint16 = np.iinfo(np.int16).min
cdef np.int32_t MINint32 = np.iinfo(np.int32).min
cdef np.int64_t MINint64 = np.iinfo(np.int64).min
cdef np.float16_t MINfloat16 = np.NINF

from numpy cimport ndarray, double_t, int64_t, float64_t

cdef np.float32_t MINfloat32 = np.NINF
cdef np.float64_t MINfloat64 = np.NINF

cdef np.int8_t MAXint8 = np.iinfo(np.int8).max
cdef np.int16_t MAXint16 = np.iinfo(np.int16).max
cdef np.int32_t MAXint32 = np.iinfo(np.int32).max
cdef np.int64_t MAXint64 = np.iinfo(np.int64).max
cdef np.float16_t MAXfloat16 = np.inf
cdef np.float32_t MAXfloat32 = np.inf
cdef np.float64_t MAXfloat64 = np.inf

cdef double NaN = <double> np.NaN
cdef double nan = NaN

cdef inline int int_max(int a, int b): return a if a >= b else b
cdef inline int int_min(int a, int b): return a if a <= b else b
Expand Down