10000 Remove PyCXX dependency for core extension modules by mdboom · Pull Request #3646 · matplotlib/matplotlib · GitHub
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Remove PyCXX dependency for core extension modules #3646

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Merged
merged 18 commits into from
Oct 18, 2014
Merged

Remove PyCXX dependency for core extension modules #3646

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ba40160
Remove use of PyCXX in core C++ extensions
mdboom Oct 3, 2014
6d07179
Change how array converter functions are defined
mdboom Oct 14, 2014
af578f5
Add .clang-format to repository
mdboom Oct 14, 2014
697b3ef
Restore parallel testing
mdboom Oct 14, 2014
a225968
Documentation
mdboom Oct 14, 2014
8dae818
Remove some obsolete TODOs
mdboom Oct 14, 2014
4a56cda
Fix compilation
mdboom Oct 14, 2014
cfbf8d5
Remove debugging prints
mdboom Oct 14, 2014
339537d
Fix curve simplification
mdboom Oct 14, 2014
6e19dac
Fix segfault on Python 3
mdboom Oct 14, 2014
c5ab747
More Python 3 fixes
mdboom Oct 15, 2014
5204635
Windows-related fixes, thanks to @cgohlke
mdboom Oct 15, 2014
0624664
Fix test_hexbin_pickable test
mdboom Oct 15, 2014
d862c47
Fix Mac compile again
mdboom Oct 15, 2014
d8c1d0d
Remove usage of old Numpy API
mdboom Oct 17, 2014
9f76dc7
Simplify read_png
mdboom Oct 17, 2014
7891790
Remove reference to PyCXX
mdboom Oct 17, 2014
c8493ea
Fix dimensions of greyscale image.
mdboom Oct 17, 2014
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Simplify read_png
  • Loading branch information
@mdboom
mdboom committed Oct 17, 2014
commit 9f76dc7c11c4eb921120f3ad738ba821f995b771
73 changes: 30 additions & 43 deletions src/_png.cpp
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Original file line number Diff line number Diff line change
Expand Up @@ -240,14 +240,14 @@ static PyObject *_read_png(PyObject *filein, bool float_result)
bool close_file = false;
bool close_dup_file = false;
PyObject *py_file = NULL;
PyArrayObject *A = NULL;
png_structp png_ptr = NULL;
png_infop info_ptr = NULL;
int num_dims;
std::vector<png_bytep> row_pointers;
png_uint_32 width = 0;
png_uint_32 height = 0;
int bit_depth;
PyObject *result = NULL;

// TODO: Remove direct calls to Numpy API here

Expand Down Expand Up @@ -375,70 +375,57 @@ static PyObject *_read_png(PyObject *filein, bool float_result)
if (float_result) {
double max_value = (1 << bit_depth) - 1;

A = (PyArrayObject *)PyArray_SimpleNew(num_dims, dimensions, NPY_FLOAT);
if (A == NULL) {
goto exit;
}
numpy::array_view<float, 3> A(dimensions);

for (png_uint_32 y = 0; y < height; y++) {
png_byte *row = row_pointers[y];
for (png_uint_32 x = 0; x < width; x++) {
if (bit_depth == 16) {
png_uint_16 *ptr = &reinterpret_cast<png_uint_16 *>(row)[x * dimensions[2]];
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(float *)PyArray_GETPTR3(A, y, x, p) = (float)(ptr[p]) / max_value;
A(y, x, p) = (float)(ptr[p]) / max_value;
}
} else {
png_byte *ptr = &(row[x * dimensions[2]]);
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(float *)PyArray_GETPTR3(A, y, x, p) = (float)(ptr[p]) / max_value;
A(y, x, p) = (float)(ptr[p]) / max_value;
}
}
}
}
} else {
if (bit_depth == 8) {
A = (PyArrayObject *)PyArray_SimpleNew(num_dims, dimensions, NPY_UBYTE);
} else if (bit_depth == 16) {
A = (PyArrayObject *)PyArray_SimpleNew(num_dims, dimensions, NPY_UINT16);
} else {
PyErr_SetString(PyExc_RuntimeError, "image has unknown bit depth");
goto exit;
}

if (A == NULL) {
goto exit;
}
result = A.pyobj();
} else if (bit_depth == 16) {
numpy::array_view<png_uint_16, 3> A(dimensions);

for (png_uint_32 y = 0; y < height; y++) {
png_byte *row = row_pointers[y];
for (png_uint_32 x = 0; x < width; x++) {
if (bit_depth == 16) {
png_uint_16 *ptr = &reinterpret_cast<png_uint_16 *>(row)[x * dimensions[2]];
png_uint_16 *ptr = &reinterpret_cast<png_uint_16 *>(row)[x * dimensions[2]];
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
A(y, x, p) = ptr[p];
}
}
}

if (bit_depth == 16) {
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(png_uint_16 *)PyArray_GETPTR3(A, y, x, p) = ptr[p];
}
} else {
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(png_byte *)PyArray_GETPTR3(A, y, x, p) = ptr[p] >> 8;
}
}
} else {
png_byte *ptr = &(row[x * dimensions[2]]);
if (bit_depth == 16) {
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(png_uint_16 *)PyArray_GETPTR3(A, y, x, p) = ptr[p];
}
} else {
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
*(png_byte *)PyArray_GETPTR3(A, y, x, p) = ptr[p];
}
}
result = A.pyobj();
} else if (bit_depth == 8) {
numpy::array_view<png_byte, 3> A(dimensions);

for (png_uint_32 y = 0; y < height; y++) {
png_byte *row = row_pointers[y];
for (png_uint_32 x = 0; x < width; x++) {
png_byte *ptr = &(row[x * dimensions[2]]);
for (png_uint_32 p = 0; p < (png_uint_32)dimensions[2]; p++) {
A(y, x, p) = ptr[p];
}
}
}

result = A.pyobj();
} else {
PyErr_SetString(PyExc_RuntimeError, "image has unknown bit depth");
goto exit;
}

// free the png memory
Expand Down Expand Up @@ -467,10 +454,10 @@ static PyObject *_read_png(PyObject *filein, bool float_result)
}

if (PyErr_Occurred()) {
Py_XDECREF((PyObject *)A);
Py_XDECREF(result);
return NULL;
} else {
return (PyObject *)A;
return result;
}
}

Expand Down
0