summaryrefslogtreecommitdiff
path: root/silx/math/chistogramnd_lut.pyx
diff options
context:
space:
mode:
authorPicca Frédéric-Emmanuel <picca@synchrotron-soleil.fr>2018-07-31 16:22:25 +0200
committerPicca Frédéric-Emmanuel <picca@synchrotron-soleil.fr>2018-07-31 16:22:25 +0200
commit159ef14fb9e198bb0066ea14e6b980f065de63dd (patch)
treebc37c7d4ba09ee59deb708897fa0571709aec293 /silx/math/chistogramnd_lut.pyx
parent270d5ddc31c26b62379e3caa9044dd75ccc71847 (diff)
New upstream version 0.8.0+dfsg
Diffstat (limited to 'silx/math/chistogramnd_lut.pyx')
-rw-r--r--silx/math/chistogramnd_lut.pyx38
1 files changed, 19 insertions, 19 deletions
diff --git a/silx/math/chistogramnd_lut.pyx b/silx/math/chistogramnd_lut.pyx
index 25167f6..3a3f05e 100644
--- a/silx/math/chistogramnd_lut.pyx
+++ b/silx/math/chistogramnd_lut.pyx
@@ -1,6 +1,6 @@
# coding: utf-8
# /*##########################################################################
-# Copyright (C) 2016-2017 European Synchrotron Radiation Facility
+# Copyright (C) 2016-2018 European Synchrotron Radiation Facility
#
# Permission is hereby granted, free of charge, to any person obtaining a copy
# of this software and associated documentation files (the "Software"), to deal
@@ -27,32 +27,32 @@ __license__ = "MIT"
__date__ = "15/05/2016"
-cimport numpy as np # noqa
+cimport numpy as cnumpy # noqa
cimport cython
import numpy as np
ctypedef fused sample_t:
- np.float64_t
- np.float32_t
- np.int32_t
- np.int64_t
+ cnumpy.float64_t
+ cnumpy.float32_t
+ cnumpy.int32_t
+ cnumpy.int64_t
ctypedef fused cumul_t:
- np.float64_t
- np.float32_t
- np.int32_t
- np.int64_t
+ cnumpy.float64_t
+ cnumpy.float32_t
+ cnumpy.int32_t
+ cnumpy.int64_t
ctypedef fused weights_t:
- np.float64_t
- np.float32_t
- np.int32_t
- np.int64_t
+ cnumpy.float64_t
+ cnumpy.float32_t
+ cnumpy.int32_t
+ cnumpy.int64_t
ctypedef fused lut_t:
- np.int64_t
- np.int32_t
- np.int16_t
+ cnumpy.int64_t
+ cnumpy.int32_t
+ cnumpy.int16_t
def histogramnd_get_lut(sample,
@@ -331,7 +331,7 @@ def histogramnd_from_lut(weights,
@cython.cdivision(True)
def _histogramnd_from_lut_fused(weights_t[:] i_weights,
lut_t[:] i_lut,
- np.uint32_t[:] o_histo,
+ cnumpy.uint32_t[:] o_histo,
cumul_t[:] o_weighted_histo,
int i_n_elems,
bint i_filt_min_weights,
@@ -364,7 +364,7 @@ def _histogramnd_get_lut_fused(sample_t[:] i_sample,
double[:] i_histo_range,
int[:] i_n_bins,
lut_t[:] o_lut,
- np.uint32_t[:] o_histo,
+ cnumpy.uint32_t[:] o_histo,
bint last_bin_closed):
cdef: