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+# coding: utf-8
+# /*##########################################################################
+# Copyright (C) 2016 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
+# in the Software without restriction, including without limitation the rights
+# to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+# copies of the Software, and to permit persons to whom the Software is
+# furnished to do so, subject to the following conditions:
+#
+# The above copyright notice and this permission notice shall be included in
+# all copies or substantial portions of the Software.
+#
+# THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+# IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+# FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+# AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+# LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+# OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+# THE SOFTWARE.
+#
+# ############################################################################*/
+
+__authors__ = ["D. Naudet"]
+__license__ = "MIT"
+__date__ = "01/02/2016"
+
+cimport numpy
+
+cdef extern from "histogramnd_c.h":
+
+ ctypedef enum histo_opt_type:
+ HISTO_NONE
+ HISTO_WEIGHT_MIN
+ HISTO_WEIGHT_MAX
+ HISTO_LAST_BIN_CLOSED
+
+ ctypedef enum histo_rc_t:
+ HISTO_OK
+ HISTO_ERR_ALLOC
+
+ # =====================
+ # double sample, double cumul
+ # =====================
+
+ int histogramnd_double_double_double(double *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_double_float_double(double *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_double_int32_t_double(double *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
+
+ # =====================
+ # float sample, double cumul
+ # =====================
+
+ int histogramnd_float_double_double(float *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_float_float_double(float *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_float_int32_t_double(float *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
+
+ # =====================
+ # numpy.int32_t sample, double cumul
+ # =====================
+
+ int histogramnd_int32_t_double_double(numpy.int32_t *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_int32_t_float_double(numpy.int32_t *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_int32_t_int32_t_double(numpy.int32_t *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ double *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
+
+ # =====================
+ # double sample, float cumul
+ # =====================
+
+ int histogramnd_double_double_float(double *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_double_float_float(double *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_double_int32_t_float(double *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
+
+ # =====================
+ # float sample, float cumul
+ # =====================
+
+ int histogramnd_float_double_float(float *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_float_float_float(float *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_float_int32_t_float(float *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
+
+ # =====================
+ # numpy.int32_t sample, float cumul
+ # =====================
+
+ int histogramnd_int32_t_double_float(numpy.int32_t *i_sample,
+ double *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ double i_weight_min,
+ double i_weight_max) nogil
+
+ int histogramnd_int32_t_float_float(numpy.int32_t *i_sample,
+ float *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ float i_weight_min,
+ float i_weight_max) nogil
+
+ int histogramnd_int32_t_int32_t_float(numpy.int32_t *i_sample,
+ numpy.int32_t *i_weigths,
+ int i_n_dim,
+ int i_n_elem,
+ double *i_bin_ranges,
+ int *i_n_bin,
+ numpy.uint32_t *o_histo,
+ float *o_cumul,
+ double * bin_edges,
+ int i_opt_flags,
+ numpy.int32_t i_weight_min,
+ numpy.int32_t i_weight_max) nogil
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