matplotlib/src/_image_wrapper.cpp at master · simudream/matplotlib · GitHub

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#include "mplutils.h"

#include "_image.h"

#include "py_converters.h"

/**********************************************************************

* Image

* */

typedef struct

{

PyObject_HEAD;

Image *x;

Py_ssize_t shape[3];

Py_ssize_t strides[3];

Py_ssize_t suboffsets[3];

PyObject *dict;

} PyImage;

static PyTypeObject PyImageType;

static PyObject *PyImage_new(PyTypeObject *type, PyObject *args, PyObject *kwds)

{

PyImage *self;

self = (PyImage *)type->tp_alloc(type, 0);

memset(self, 0, sizeof(PyImage));

self->x = NULL;

self->dict = PyDict_New();

return (PyObject *)self;

}

static PyObject *PyImage_cnew(Image *im)

{

PyImage *self;

self = (PyImage *)PyImageType.tp_alloc(&PyImageType, 0);

self->x = im;

self->dict = PyDict_New();

return (PyObject *)self;

}

static int PyImage_init(PyImage *self, PyObject *args, PyObject *kwds)

{

if (!PyArg_ParseTuple(args, "")) {

return -1;

}

CALL_CPP_INIT("Image", (self->x = new Image()));

return 0;

}

static void PyImage_dealloc(PyImage *self)

{

delete self->x;

Py_DECREF(self->dict);

Py_TYPE(self)->tp_free((PyObject *)self);

}

const char *PyImage_apply_rotation__doc__ =

"apply_rotation(angle)\n"

"\n"

"Apply the rotation (degrees) to image";

static PyObject *PyImage_apply_rotation(PyImage *self, PyObject *args, PyObject *kwds)

{

double r;

if (!PyArg_ParseTuple(args, "d:apply_rotation", &r)) {

return NULL;

}

CALL_CPP("apply_rotation", (self->x->apply_rotation(r)));

Py_RETURN_NONE;

}

const char *PyImage_set_bg__doc__ =

"set_bg(r,g,b,a)\n"

"\n"

"Set the background color";

static PyObject *PyImage_set_bg(PyImage *self, PyObject *args, PyObject *kwds)

{

double r, g, b, a;

if (!PyArg_ParseTuple(args, "dddd:set_bg", &r, &g, &b, &a)) {

return NULL;

}

CALL_CPP("set_bg", (self->x->set_bg(r, g, b, a)));

Py_RETURN_NONE;

}

const char *PyImage_apply_scaling__doc__ =

"apply_scaling(sx, sy)\n"

"\n"

"Apply the scale factors sx, sy to the transform matrix";

static PyObject *PyImage_apply_scaling(PyImage *self, PyObject *args, PyObject *kwds)

{

double sx, sy;

if (!PyArg_ParseTuple(args, "dd:apply_scaling", &sx, &sy)) {

return NULL;

}

CALL_CPP("apply_scaling", (self->x->apply_scaling(sx, sy)));

Py_RETURN_NONE;

}

const char *PyImage_apply_translation__doc__ =

"apply_translation(tx, ty)\n"

"\n"

"Apply the translation tx, ty to the transform matrix";

static PyObject *PyImage_apply_translation(PyImage *self, PyObject *args, PyObject *kwds)

{

double tx, ty;

if (!PyArg_ParseTuple(args, "dd:apply_translation", &tx, &ty)) {

return NULL;

}

CALL_CPP("apply_translation", self->x->apply_translation(tx, ty));

Py_RETURN_NONE;

}

const char *PyImage_as_rgba_str__doc__ =

"numrows, numcols, s = as_rgba_str()"

"\n"

"Call this function after resize to get the data as string\n"

"The string is a numrows by numcols x 4 (RGBA) unsigned char buffer\n";

static PyObject *PyImage_as_rgba_str(PyImage *self, PyObject *args, PyObject *kwds)

{

// TODO: This performs a copy. Use buffer interface when possible

PyObject *result = PyBytes_FromStringAndSize(NULL, self->x->rowsOut * self->x->colsOut * 4);

if (result == NULL) {

return NULL;

}

CALL_CPP_CLEANUP("as_rgba_str",

(self->x->as_rgba_str((agg::int8u *)PyBytes_AsString(result))),

Py_DECREF(result));

return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, result);

}

const char *PyImage_color_conv__doc__ =

"numrows, numcols, buffer = color_conv(format)"

"\n"

"format 0(BGRA) or 1(ARGB)\n"

"Convert image to format and return in a writable buffer\n";

// TODO: This function is a terrible interface. Change/remove? Only

// used by Cairo backend.

static PyObject *PyImage_color_conv(PyImage *self, PyObject *args, PyObject *kwds)

{

int format;

if (!PyArg_ParseTuple(args, "i:color_conv", &format)) {

return NULL;

}

PyObject *result = PyBytes_FromStringAndSize(NULL, self->x->rowsOut * self->x->colsOut * 4);

if (result == NULL) {

return NULL;

}

CALL_CPP_CLEANUP("color_conv",

(self->x->color_conv(format, (agg::int8u *)PyBytes_AsString(result))),

Py_DECREF(result));

return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, result);

}

const char *PyImage_buffer_rgba__doc__ =

"buffer = buffer_rgba()"

"\n"

"Return the image buffer as rgba32\n";

static PyObject *PyImage_buffer_rgba(PyImage *self, PyObject *args, PyObject *kwds)

{

#if PY3K

return Py_BuildValue("nny#",

self->x->rowsOut,

self->x->colsOut,

self->x->rbufOut,

self->x->rowsOut * self->x->colsOut * 4);

#else

PyObject *buffer =

PyBuffer_FromReadWriteMemory(self->x->rbufOut, self->x->rowsOut * self->x->colsOut * 4);

if (buffer == NULL) {

return NULL;

}

return Py_BuildValue("nnN", self->x->rowsOut, self->x->colsOut, buffer);

#endif

}

const char *PyImage_reset_matrix__doc__ =

"reset_matrix()"

"\n"

"Reset the transformation matrix";

static PyObject *PyImage_reset_matrix(PyImage *self, PyObject *args, PyObject *kwds)

{

CALL_CPP("reset_matrix", self->x->reset_matrix());

Py_RETURN_NONE;

}

const char *PyImage_get_matrix__doc__ =

"(m11,m21,m12,m22,m13,m23) = get_matrix()\n"

"\n"

"Get the affine transformation matrix\n"

" /m11,m12,m13\\\n"

" /m21,m22,m23|\n"

" \\ 0 , 0 , 1 /";

static PyObject *PyImage_get_matrix(PyImage *self, PyObject *args, PyObject *kwds)

{

double m[6];

self->x->srcMatrix.store_to(m);

return Py_BuildValue("dddddd", m[0], m[1], m[2], m[3], m[4], m[5]);

}

const char *PyImage_resize__doc__ =

"resize(width, height, norm=1, radius=4.0)\n"

"\n"

"Resize the image to width, height using interpolation\n"

"norm and radius are optional args for some of the filters\n";

static PyObject *PyImage_resize(PyImage *self, PyObject *args, PyObject *kwds)

{

double width;

double height;

double norm;

double radius;

const char *names[] = { "width", "height", "norm", "radius", NULL };

if (!PyArg_ParseTupleAndKeywords(

args, kwds, "dd|dd:resize", (char **)names, &width, &height, &norm, &radius)) {

return NULL;

}

CALL_CPP("resize", (self->x->resize(width, height, norm, radius)));

Py_RETURN_NONE;

}

const char *PyImage_get_interpolation__doc__ =

"get_interpolation()\n"

"\n"

"Get the interpolation scheme to one of the module constants, "

"one of image.NEAREST, image.BILINEAR, etc...";

static PyObject *PyImage_get_interpolation(PyImage *self, PyObject *args, PyObject *kwds)

{

return PyLong_FromLong(self->x->interpolation);

}

const char *PyImage_set_interpolation__doc__ =

"set_interpolation(scheme)\n"

"\n"

"Set the interpolation scheme to one of the module constants, "

"eg, image.NEAREST, image.BILINEAR, etc...";

static PyObject *PyImage_set_interpolation(PyImage *self, PyObject *args, PyObject *kwds)

{

int method;

if (!PyArg_ParseTuple(args, "i:set_interpolation", &method)) {

return NULL;

}

self->x->interpolation = method;

Py_RETURN_NONE;

}

const char *PyImage_get_aspect__doc__ =

"get_aspect()\n"

"\n"

"Get the aspect constraint constants";

static PyObject *PyImage_get_aspect(PyImage *self, PyObject *args, PyObject *kwds)

{

return PyLong_FromLong(self->x->aspect);

}

const char *PyImage_set_aspect__doc__ =

"set_aspect(scheme)\n"

"\n"

"Set the aspect ratio to one of the image module constant."

"eg, one of image.ASPECT_PRESERVE, image.ASPECT_FREE";

static PyObject *PyImage_set_aspect(PyImage *self, PyObject *args, PyObject *kwds)

{

int scheme;

if (!PyArg_ParseTuple(args, "i:set_aspect", &scheme)) {

return NULL;

}

self->x->aspect = scheme;

Py_RETURN_NONE;

}

const char *PyImage_get_size__doc__ =

"numrows, numcols = get_size()\n"

"\n"

"Get the number or rows and columns of the input image";

static PyObject *PyImage_get_size(PyImage *self, PyObject *args, PyObject *kwds)

{

return Py_BuildValue("ii", self->x->rowsIn, self->x->colsIn);

}

const char *PyImage_get_resample__doc__ =

"get_resample()\n"

"\n"

"Get the resample flag.";

static PyObject *PyImage_get_resample(PyImage *self, PyObject *args, PyObject *kwds)

{

if (self->x->resample) {

Py_RETURN_TRUE;

}

Py_RETURN_FALSE;

}

const char *PyImage_set_resample__doc__ =

"set_resample(boolean)\n"

"\n"

"Set the resample flag.";

static PyObject *PyImage_set_resample(PyImage *self, PyObject *args, PyObject *kwds)

{

int resample;

if (!PyArg_ParseTuple(args, "i:set_resample", &resample)) {

return NULL;

}

self->x->resample = resample;

Py_RETURN_NONE;

}

const char *PyImage_get_size_out__doc__ =

"numrows, numcols = get_size_out()\n"

"\n"

"Get the number or rows and columns of the output image";

static PyObject *PyImage_get_size_out(PyImage *self, PyObject *args, PyObject *kwds)

{

return Py_BuildValue("ii", self->x->rowsOut, self->x->colsOut);

}

static int PyImage_get_buffer(PyImage *self, Py_buffer *buf, int flags)

{

Image *im = self->x;

Py_INCREF(self);

buf->obj = (PyObject *)self;

buf->buf = im->bufferOut;

buf->len = im->colsOut * im->rowsOut * 4;

buf->readonly = 0;

buf->format = (char *)"B";

buf->ndim = 3;

self->shape[0] = im->rowsOut;

self->shape[1] = im->colsOut;

self->shape[2] = 4;

buf->shape = self->shape;

self->strides[0] = im->colsOut * 4;

self->strides[1] = 4;

self->strides[2] = 1;

buf->strides = self->strides;

buf->suboffsets = NULL;

buf->itemsize = 1;

buf->internal = NULL;

return 1;

}

static PyTypeObject *PyImage_init_type(PyObject *m, PyTypeObject *type)

{

static PyMethodDef methods[] = {

{"apply_rotation", (PyCFunction)PyImage_apply_rotation, METH_VARARGS, PyImage_apply_rotation__doc__},

{"set_bg", (PyCFunction)PyImage_set_bg, METH_VARARGS, PyImage_set_bg__doc__},

{"apply_scaling", (PyCFunction)PyImage_apply_scaling, METH_VARARGS, PyImage_apply_scaling__doc__},

{"apply_translation", (PyCFunction)PyImage_apply_translation, METH_VARARGS, PyImage_apply_translation__doc__},

{"as_rgba_str", (PyCFunction)PyImage_as_rgba_str, METH_NOARGS, PyImage_as_rgba_str__doc__},

{"color_conv", (PyCFunction)PyImage_color_conv, METH_VARARGS, PyImage_color_conv__doc__},

{"buffer_rgba", (PyCFunction)PyImage_buffer_rgba, METH_NOARGS, PyImage_buffer_rgba__doc__},

{"reset_matrix", (PyCFunction)PyImage_reset_matrix, METH_NOARGS, PyImage_reset_matrix__doc__},

{"get_matrix", (PyCFunction)PyImage_get_matrix, METH_NOARGS, PyImage_get_matrix__doc__},

{"resize", (PyCFunction)PyImage_resize, METH_VARARGS|METH_KEYWORDS, PyImage_resize__doc__},

{"get_interpolation", (PyCFunction)PyImage_get_interpolation, METH_NOARGS, PyImage_get_interpolation__doc__},

{"set_interpolation", (PyCFunction)PyImage_set_interpolation, METH_VARARGS, PyImage_set_interpolation__doc__},

{"get_aspect", (PyCFunction)PyImage_get_aspect, METH_NOARGS, PyImage_get_aspect__doc__},

{"set_aspect", (PyCFunction)PyImage_set_aspect, METH_VARARGS, PyImage_set_aspect__doc__},

{"get_size", (PyCFunction)PyImage_get_size, METH_NOARGS, PyImage_get_size__doc__},

{"get_resample", (PyCFunction)PyImage_get_resample, METH_VARARGS, PyImage_get_resample__doc__},

{"set_resample", (PyCFunction)PyImage_set_resample, METH_VARARGS, PyImage_set_resample__doc__},

{"get_size_out", (PyCFunction)PyImage_get_size_out, METH_VARARGS, PyImage_get_size_out__doc__},

{NULL}

};

static PyBufferProcs buffer_procs;

memset(&buffer_procs, 0, sizeof(PyBufferProcs));

buffer_procs.bf_getbuffer = (getbufferproc)PyImage_get_buffer;

memset(type, 0, sizeof(PyTypeObject));

type->tp_name = "matplotlib._image.Image";

type->tp_basicsize = sizeof(PyImage);

type->tp_dealloc = (destructor)PyImage_dealloc;

type->tp_flags = Py_TPFLAGS_DEFAULT | Py_TPFLAGS_BASETYPE | Py_TPFLAGS_HAVE_NEWBUFFER;

type->tp_methods = methods;

type->tp_new = PyImage_new;

type->tp_init = (initproc)PyImage_init;

type->tp_as_buffer = &buffer_procs;

type->tp_dictoffset = offsetof(PyImage, dict);

if (PyType_Ready(type) < 0) {

return NULL;

}

if (PyModule_AddObject(m, "Image", (PyObject *)type)) {

return NULL;

}

return type;

}

/**********************************************************************

* Free functions

* */

const char *image_from_images__doc__ =

"from_images(numrows, numcols, seq)\n"

"\n"

"return an image instance with numrows, numcols from a seq of image\n"

"instances using alpha blending. seq is a list of (Image, ox, oy)";

static PyObject *image_from_images(PyObject *self, PyObject *args, PyObject *kwds)

{

unsigned int numrows;

unsigned int numcols;

PyObject *images;

size_t numimages;

if (!PyArg_ParseTuple(args, "IIO:from_images", &numrows, &numcols, &images)) {

return NULL;

}

if (!PySequence_Check(images)) {

return NULL;

}

Image *im = new Image(numrows, numcols, true);

im->clear();

numimages = PySequence_Size(images);

for (size_t i = 0; i < numimages; ++i) {

PyObject *entry = PySequence_GetItem(images, i);

if (entry == NULL) {

delete im;

return NULL;

}

PyObject *subimage;

unsigned int x;

unsigned int y;

PyObject *alphaobj = NULL;

double alpha = 0.0;

if (!PyArg_ParseTuple(entry, "O!II|O", &PyImageType, &subimage, &x, &y, &alphaobj)) {

Py_DECREF(entry);

delete im;

return NULL;

}

bool has_alpha = false;

if (alphaobj != NULL && alphaobj != Py_None) {

has_alpha = true;

alpha = PyFloat_AsDouble(alphaobj);

if (PyErr_Occurred()) {

Py_DECREF(entry);

delete im;

return NULL;

}

CALL_CPP("from_images",

(im->blend_image(*((PyImage *)subimage)->x, x, y, has_alpha, alpha)));

Py_DECREF(entry);

}

return PyImage_cnew(im);

}

const char *image_fromarray__doc__ =

"fromarray(A, isoutput)\n"

"\n"

"Load the image from a numpy array\n"

"By default this function fills the input buffer, which can subsequently\n"

"be resampled using resize. If isoutput=1, fill the output buffer.\n"

"This is used to support raw pixel images w/o resampling\n";

static PyObject *image_fromarray(PyObject *self, PyObject *args, PyObject *kwds)

{

PyObject *array;

int isoutput;

const char *names[] = { "array", "isoutput", NULL };

if (!PyArg_ParseTupleAndKeywords(

args, kwds, "O|i:fromarray", (char **)names, &array, &isoutput)) {

return NULL;

}

numpy::array_view<const double, 3> color_array;

numpy::array_view<const double, 2> grey_array;

Image *result = NULL;

if (color_array.converter(array, &color_array)) {

CALL_CPP("fromarray", result = from_color_array(color_array, isoutput));

} else if (grey_array.converter(array, &grey_array)) {

CALL_CPP("fromarray", result = from_grey_array(grey_array, isoutput));

} else {

PyErr_SetString(PyExc_ValueError, "invalid array");

return NULL;

}

return PyImage_cnew(result);

}

const char *image_frombyte__doc__ =

"frombyte(A, isoutput)\n"

"\n"

"Load the image from a byte array.\n"

"By default this function fills the input buffer, which can subsequently\n"

"be resampled using resize. If isoutput=1, fill the output buffer.\n"

"This is used to support raw pixel images w/o resampling.";

static PyObject *image_frombyte(PyObject *self, PyObject *args, PyObject *kwds)

{

numpy::array_view<const uint8_t, 3> array;

int isoutput;

const char *names[] = { "array", "isoutput", NULL };

Image *result;

if (!PyArg_ParseTupleAndKeywords(args,

kwds,

"O&|i:frombyte",

(char **)names,

&array.converter,

&array,

&isoutput)) {

return NULL;

}

CALL_CPP("frombyte", (result = frombyte(array, isoutput)));

return PyImage_cnew(result);

}

const char *image_frombuffer__doc__ =

"frombuffer(buffer, width, height, isoutput)\n"

"\n"

"Load the image from a character buffer\n"

"By default this function fills the input buffer, which can subsequently\n"

"be resampled using resize. If isoutput=1, fill the output buffer.\n"

"This is used to support raw pixel images w/o resampling.";

static PyObject *image_frombuffer(PyObject *self, PyObject *args, PyObject *kwds)

{

PyObject *buffer;

unsigned x;

unsigned y;

int isoutput;

const char *names[] = { "buffer", "x", "y", "isoutput", NULL };

if (!PyArg_ParseTupleAndKeywords(

args, kwds, "OII|i:frombuffer", (char **)names, &buffer, &x, &y, &isoutput)) {

return NULL;

}

const void *rawbuf;

Py_ssize_t buflen;

if (PyObject_AsReadBuffer(buffer, &rawbuf, &buflen) != 0) {

return NULL;

}

if (buflen != (Py_ssize_t)(y * x * 4)) {

PyErr_SetString(PyExc_ValueError, "Buffer is incorrect length");

return NULL;

}

Image *im;

CALL_CPP("frombuffer", (im = new Image(y, x, isoutput)));

agg::int8u *inbuf = (agg::int8u *)rawbuf;

agg::int8u *outbuf;

if (isoutput) {

outbuf = im->bufferOut;

} else {

outbuf = im->bufferIn;

}

for (int i = (x * 4) * (y - 1); i >= 0; i -= (x * 4)) {

memmove(outbuf, &inbuf[i], (x * 4));

outbuf += x * 4;

}

return PyImage_cnew(im);

}

const char *image_pcolor__doc__ =

"pcolor(x, y, data, rows, cols, bounds)\n"

"\n"

"Generate a pseudo-color image from data on a non-uniform grid using\n"

"nearest neighbour or linear interpolation.\n"

"bounds = (x_min, x_max, y_min, y_max)\n"

"interpolation = NEAREST or BILINEAR \n";

static PyObject *image_pcolor(PyObject *self, PyObject *args, PyObject *kwds)

{

numpy::array_view<const float, 1> x;

numpy::array_view<const float, 1> y;

numpy::array_view<const agg::int8u, 3> d;

unsigned int rows;

unsigned int cols;

float bounds[4];

int interpolation;

Image *result;

if (!PyArg_ParseTuple(args,

"O&O&O&II(ffff)i:pcolor",

&x.converter,

&x,

&y.converter,

&y,

&d.converter_contiguous,

&d,

&rows,

&cols,

&bounds[0],

&bounds[1],

&bounds[2],

&bounds[3],

&interpolation)) {

return NULL;

}

CALL_CPP("pcolor", (result = pcolor(x, y, d, rows, cols, bounds, interpolation)));

return PyImage_cnew(result);

}

const char *image_pcolor2__doc__ =

"pcolor2(x, y, data, rows, cols, bounds, bg)\n"

"\n"

"Generate a pseudo-color image from data on a non-uniform grid\n"

"specified by its cell boundaries.\n"

"bounds = (x_left, x_right, y_bot, y_top)\n"

"bg = ndarray of 4 uint8 representing background rgba\n";

static PyObject *image_pcolor2(PyObject *self, PyObject *args, PyObject *kwds)

{

numpy::array_view<const double, 1> x;

numpy::array_view<const double, 1> y;

numpy::array_view<const agg::int8u, 3> d;

unsigned int rows;

unsigned int cols;

float bounds[4];

numpy::array_view<const agg::int8u, 1> bg;

Image *result;

if (!PyArg_ParseTuple(args,

"O&O&O&II(ffff)O&:pcolor2",

&x.converter,

&x,

&y.converter,

&y,

&d.converter_contiguous,

&d,

&rows,

&cols,

&bounds[0],

&bounds[1],

&bounds[2],

&bounds[3],

&bg.converter,

&bg)) {

return NULL;

}

CALL_CPP("pcolor2", (result = pcolor2(x, y, d, rows, cols, bounds, bg)));

return PyImage_cnew(result);

}

static PyMethodDef module_functions[] = {

{"from_images", (PyCFunction)image_from_images, METH_VARARGS, image_from_images__doc__},

{"fromarray", (PyCFunction)image_fromarray, METH_VARARGS|METH_KEYWORDS, image_fromarray__doc__},

{"frombyte", (PyCFunction)image_frombyte, METH_VARARGS|METH_KEYWORDS, image_frombyte__doc__},

{"frombuffer", (PyCFunction)image_frombuffer, METH_VARARGS|METH_KEYWORDS, image_frombuffer__doc__},

{"pcolor", (PyCFunction)image_pcolor, METH_VARARGS, image_pcolor__doc__},

{"pcolor2", (PyCFunction)image_pcolor2, METH_VARARGS, image_pcolor2__doc__},

{NULL}

};

extern "C" {

struct module_state

{

int _dummy;

};

#if PY3K

static struct PyModuleDef moduledef = {

PyModuleDef_HEAD_INIT,

"_image",

NULL,

sizeof(struct module_state),

module_functions,

NULL,

NULL

};

#define INITERROR return NULL

PyMODINIT_FUNC PyInit__image(void)

#else

#define INITERROR return

PyMODINIT_FUNC init_image(void)

#endif

{

PyObject *m;

#if PY3K

m = PyModule_Create(&moduledef);

#else

m = Py_InitModule3("_image", module_functions, NULL);

#endif

if (m == NULL) {

INITERROR;

}

if (!PyImage_init_type(m, &PyImageType)) {

INITERROR;

}

PyObject *d = PyModule_GetDict(m);

if (add_dict_int(d, "NEAREST", Image::NEAREST) ||

add_dict_int(d, "BILINEAR", Image::BILINEAR) ||

add_dict_int(d, "BICUBIC", Image::BICUBIC) ||

add_dict_int(d, "SPLINE16", Image::SPLINE16) ||

add_dict_int(d, "SPLINE36", Image::SPLINE36) ||

add_dict_int(d, "HANNING", Image::HANNING) ||

add_dict_int(d, "HAMMING", Image::HAMMING) ||

add_dict_int(d, "HERMITE", Image::HERMITE) ||

add_dict_int(d, "KAISER", Image::KAISER) ||

add_dict_int(d, "QUADRIC", Image::QUADRIC) ||

add_dict_int(d, "CATROM", Image::CATROM) ||

add_dict_int(d, "GAUSSIAN", Image::GAUSSIAN) ||

add_dict_int(d, "BESSEL", Image::BESSEL) ||

add_dict_int(d, "MITCHELL", Image::MITCHELL) ||

add_dict_int(d, "SINC", Image::SINC) ||

add_dict_int(d, "LANCZOS", Image::LANCZOS) ||

add_dict_int(d, "BLACKMAN", Image::BLACKMAN) ||

add_dict_int(d, "ASPECT_FREE", Image::ASPECT_FREE) ||

add_dict_int(d, "ASPECT_PRESERVE", Image::ASPECT_PRESERVE)) {

INITERROR;

}

import_array();

#if PY3K

return m;

#endif

}

} // extern "C"

matplotlib/src/_image_wrapper.cpp at master · simudream/matplotlib · GitHub

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