mirror of
https://github.com/python-pillow/Pillow.git
synced 2025-01-26 17:24:31 +03:00
Merge pull request #821 from wiredfool/pypy-performance
PyPy performance improvements
This commit is contained in:
commit
58c56e9aa4
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@ -124,7 +124,8 @@ class PillowTestCase(unittest.TestCase):
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self.assertTrue(found)
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return result
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def skipKnownBadTest(self, msg=None, platform=None, travis=None):
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def skipKnownBadTest(self, msg=None, platform=None,
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travis=None, interpreter=None):
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# Skip if platform/travis matches, and
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# PILLOW_RUN_KNOWN_BAD is not true in the environment.
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if bool(os.environ.get('PILLOW_RUN_KNOWN_BAD', False)):
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@ -136,6 +137,8 @@ class PillowTestCase(unittest.TestCase):
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skip = sys.platform.startswith(platform)
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if travis is not None:
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skip = skip and (travis == bool(os.environ.get('TRAVIS', False)))
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if interpreter is not None:
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skip = skip and (interpreter == 'pypy' and hasattr(sys, 'pypy_version_info'))
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if skip:
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self.skipTest(msg or "Known Bad Test")
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@ -5,12 +5,6 @@ import sys
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class TestImagePoint(PillowTestCase):
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def setUp(self):
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if hasattr(sys, 'pypy_version_info'):
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# This takes _forever_ on PyPy. Open Bug,
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# see https://github.com/python-pillow/Pillow/issues/484
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self.skipTest("Too slow on PyPy")
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def test_sanity(self):
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im = lena()
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@ -29,11 +23,24 @@ class TestImagePoint(PillowTestCase):
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def test_16bit_lut(self):
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""" Tests for 16 bit -> 8 bit lut for converting I->L images
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see https://github.com/python-pillow/Pillow/issues/440
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"""
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"""
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# This takes _forever_ on PyPy. Open Bug,
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# see https://github.com/python-pillow/Pillow/issues/484
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#self.skipKnownBadTest(msg="Too Slow on pypy", interpreter='pypy')
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im = lena("I")
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im.point(list(range(256))*256, 'L')
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def test_f_lut(self):
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""" Tests for floating point lut of 8bit gray image """
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im = lena('L')
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lut = [0.5 * float(x) for x in range(256)]
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out = im.point(lut, 'F')
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int_lut = [x//2 for x in range(256)]
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self.assert_image_equal(out.convert('L'), im.point(int_lut, 'L'))
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if __name__ == '__main__':
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unittest.main()
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@ -42,6 +42,30 @@ class TestImagePutData(PillowTestCase):
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self.assertEqual(put(sys.maxsize), (255, 255, 255, 127))
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def test_pypy_performance(self):
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im = Image.new('L', (256,256))
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im.putdata(list(range(256))*256)
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def test_mode_i(self):
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src = lena('L')
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data = list(src.getdata())
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im = Image.new('I', src.size, 0)
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im.putdata(data, 2, 256)
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target = [2* elt + 256 for elt in data]
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self.assertEqual(list(im.getdata()), target)
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def test_mode_F(self):
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src = lena('L')
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data = list(src.getdata())
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im = Image.new('F', src.size, 0)
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im.putdata(data, 2.0, 256.0)
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target = [2.0* float(elt) + 256.0 for elt in data]
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self.assertEqual(list(im.getdata()), target)
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if __name__ == '__main__':
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unittest.main()
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@ -5,18 +5,22 @@ from PIL import Image
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class TestModeI16(PillowTestCase):
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original = lena().resize((32,32)).convert('I')
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def verify(self, im1):
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im2 = lena("I")
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im2 = self.original.copy()
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self.assertEqual(im1.size, im2.size)
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pix1 = im1.load()
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pix2 = im2.load()
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for y in range(im1.size[1]):
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for x in range(im1.size[0]):
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xy = x, y
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p1 = pix1[xy]
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p2 = pix2[xy]
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self.assertEqual(
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pix1[xy], pix2[xy],
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p1, p2,
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("got %r from mode %s at %s, expected %r" %
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(pix1[xy], im1.mode, xy, pix2[xy])))
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(p1, im1.mode, xy, p2)))
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def test_basic(self):
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# PIL 1.1 has limited support for 16-bit image data. Check that
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@ -24,7 +28,7 @@ class TestModeI16(PillowTestCase):
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def basic(mode):
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imIn = lena("I").convert(mode)
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imIn = self.original.convert(mode)
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self.verify(imIn)
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w, h = imIn.size
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@ -92,7 +96,7 @@ class TestModeI16(PillowTestCase):
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def test_convert(self):
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im = lena("I")
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im = self.original.copy()
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self.verify(im.convert("I;16"))
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self.verify(im.convert("I;16").convert("L"))
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190
_imaging.c
190
_imaging.c
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@ -365,9 +365,12 @@ getbands(const char* mode)
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static void*
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getlist(PyObject* arg, int* length, const char* wrong_length, int type)
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{
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int i, n;
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int i, n, itemp;
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double dtemp;
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void* list;
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PyObject* seq;
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PyObject* op;
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if (!PySequence_Check(arg)) {
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PyErr_SetString(PyExc_TypeError, must_be_sequence);
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return NULL;
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@ -383,71 +386,35 @@ getlist(PyObject* arg, int* length, const char* wrong_length, int type)
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if (!list)
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return PyErr_NoMemory();
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switch (type) {
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case TYPE_UINT8:
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if (PyList_Check(arg)) {
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for (i = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(arg, i);
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int temp = PyInt_AsLong(op);
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((UINT8*)list)[i] = CLIP(temp);
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}
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} else {
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for (i = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(arg, i);
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int temp = PyInt_AsLong(op);
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Py_XDECREF(op);
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((UINT8*)list)[i] = CLIP(temp);
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}
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seq = PySequence_Fast(arg, must_be_sequence);
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if (!seq) {
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free(list);
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PyErr_SetString(PyExc_TypeError, must_be_sequence);
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return NULL;
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}
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for (i = 0; i < n; i++) {
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op = PySequence_Fast_GET_ITEM(seq, i);
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// DRY, branch prediction is going to work _really_ well
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// on this switch. And 3 fewer loops to copy/paste.
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switch (type) {
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case TYPE_UINT8:
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itemp = PyInt_AsLong(op);
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((UINT8*)list)[i] = CLIP(itemp);
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break;
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case TYPE_INT32:
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itemp = PyInt_AsLong(op);
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((INT32*)list)[i] = itemp;
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break;
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case TYPE_FLOAT32:
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dtemp = PyFloat_AsDouble(op);
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((FLOAT32*)list)[i] = (FLOAT32) dtemp;
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break;
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case TYPE_DOUBLE:
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dtemp = PyFloat_AsDouble(op);
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((double*)list)[i] = (double) dtemp;
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break;
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}
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break;
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case TYPE_INT32:
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if (PyList_Check(arg)) {
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for (i = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(arg, i);
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int temp = PyInt_AsLong(op);
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((INT32*)list)[i] = temp;
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}
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} else {
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for (i = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(arg, i);
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int temp = PyInt_AsLong(op);
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Py_XDECREF(op);
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((INT32*)list)[i] = temp;
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}
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}
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break;
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case TYPE_FLOAT32:
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if (PyList_Check(arg)) {
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for (i = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(arg, i);
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double temp = PyFloat_AsDouble(op);
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((FLOAT32*)list)[i] = (FLOAT32) temp;
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}
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} else {
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for (i = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(arg, i);
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double temp = PyFloat_AsDouble(op);
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Py_XDECREF(op);
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((FLOAT32*)list)[i] = (FLOAT32) temp;
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}
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}
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break;
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case TYPE_DOUBLE:
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if (PyList_Check(arg)) {
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for (i = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(arg, i);
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double temp = PyFloat_AsDouble(op);
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((double*)list)[i] = temp;
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}
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} else {
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for (i = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(arg, i);
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double temp = PyFloat_AsDouble(op);
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Py_XDECREF(op);
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((double*)list)[i] = temp;
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}
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}
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break;
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}
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if (length)
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@ -1253,6 +1220,8 @@ _putdata(ImagingObject* self, PyObject* args)
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Py_ssize_t n, i, x, y;
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PyObject* data;
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PyObject* seq;
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PyObject* op;
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double scale = 1.0;
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double offset = 0.0;
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@ -1292,69 +1261,61 @@ _putdata(ImagingObject* self, PyObject* args)
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x = 0, y++;
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}
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} else {
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if (scale == 1.0 && offset == 0.0) {
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/* Clipped data */
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if (PyList_Check(data)) {
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(data, i);
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image->image8[y][x] = (UINT8) CLIP(PyInt_AsLong(op));
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if (++x >= (int) image->xsize)
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x = 0, y++;
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}
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} else {
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(data, i);
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image->image8[y][x] = (UINT8) CLIP(PyInt_AsLong(op));
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Py_XDECREF(op);
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if (++x >= (int) image->xsize)
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x = 0, y++;
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}
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}
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seq = PySequence_Fast(data, must_be_sequence);
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if (!seq) {
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PyErr_SetString(PyExc_TypeError, must_be_sequence);
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return NULL;
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}
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if (scale == 1.0 && offset == 0.0) {
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/* Clipped data */
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for (i = x = y = 0; i < n; i++) {
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op = PySequence_Fast_GET_ITEM(data, i);
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image->image8[y][x] = (UINT8) CLIP(PyInt_AsLong(op));
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if (++x >= (int) image->xsize){
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x = 0, y++;
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}
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}
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} else {
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if (PyList_Check(data)) {
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/* Scaled and clipped data */
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PyList_GET_ITEM(data, i);
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image->image8[y][x] = CLIP(
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(int) (PyFloat_AsDouble(op) * scale + offset));
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if (++x >= (int) image->xsize)
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x = 0, y++;
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}
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} else {
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(data, i);
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image->image8[y][x] = CLIP(
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(int) (PyFloat_AsDouble(op) * scale + offset));
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Py_XDECREF(op);
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if (++x >= (int) image->xsize)
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x = 0, y++;
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}
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}
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}
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PyErr_Clear(); /* Avoid weird exceptions */
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/* Scaled and clipped data */
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PySequence_Fast_GET_ITEM(data, i);
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image->image8[y][x] = CLIP(
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(int) (PyFloat_AsDouble(op) * scale + offset));
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if (++x >= (int) image->xsize){
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x = 0, y++;
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}
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}
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}
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PyErr_Clear(); /* Avoid weird exceptions */
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}
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} else {
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/* 32-bit images */
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seq = PySequence_Fast(data, must_be_sequence);
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if (!seq) {
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PyErr_SetString(PyExc_TypeError, must_be_sequence);
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return NULL;
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}
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switch (image->type) {
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case IMAGING_TYPE_INT32:
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(data, i);
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op = PySequence_Fast_GET_ITEM(data, i);
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IMAGING_PIXEL_INT32(image, x, y) =
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(INT32) (PyFloat_AsDouble(op) * scale + offset);
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Py_XDECREF(op);
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if (++x >= (int) image->xsize)
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if (++x >= (int) image->xsize){
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x = 0, y++;
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}
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}
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PyErr_Clear(); /* Avoid weird exceptions */
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break;
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case IMAGING_TYPE_FLOAT32:
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for (i = x = y = 0; i < n; i++) {
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PyObject *op = PySequence_GetItem(data, i);
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op = PySequence_Fast_GET_ITEM(data, i);
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IMAGING_PIXEL_FLOAT32(image, x, y) =
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(FLOAT32) (PyFloat_AsDouble(op) * scale + offset);
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Py_XDECREF(op);
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if (++x >= (int) image->xsize)
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if (++x >= (int) image->xsize){
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x = 0, y++;
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}
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}
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PyErr_Clear(); /* Avoid weird exceptions */
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break;
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@ -1365,16 +1326,15 @@ _putdata(ImagingObject* self, PyObject* args)
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INT32 inkint;
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} u;
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PyObject *op = PySequence_GetItem(data, i);
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op = PySequence_Fast_GET_ITEM(data, i);
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if (!op || !getink(op, image, u.ink)) {
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Py_DECREF(op);
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return NULL;
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}
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/* FIXME: what about scale and offset? */
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image->image32[y][x] = u.inkint;
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Py_XDECREF(op);
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if (++x >= (int) image->xsize)
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if (++x >= (int) image->xsize){
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x = 0, y++;
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}
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}
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PyErr_Clear(); /* Avoid weird exceptions */
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break;
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@ -21,14 +21,6 @@ if len(sys.argv) == 1:
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# Make sure that nose doesn't muck with our paths.
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if ('--no-path-adjustment' not in sys.argv) and ('-P' not in sys.argv):
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sys.argv.insert(1, '--no-path-adjustment')
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if 'NOSE_PROCESSES' not in os.environ:
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for arg in sys.argv:
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if '--processes' in arg:
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break
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else: # for
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sys.argv.insert(1, '--processes=-1') # -1 == number of cores
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sys.argv.insert(1, '--process-timeout=30')
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if __name__ == '__main__':
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profile.run("nose.main()", sort=2)
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