Author: Philip Jenvey <pjen...@underboss.org>
Branch: py3k
Changeset: r62422:f5e4536eeca7
Date: 2013-03-18 17:03 -0700
http://bitbucket.org/pypy/pypy/changeset/f5e4536eeca7/
Log: merge default
diff --git a/pypy/doc/whatsnew-head.rst b/pypy/doc/whatsnew-head.rst
--- a/pypy/doc/whatsnew-head.rst
+++ b/pypy/doc/whatsnew-head.rst
@@ -24,6 +24,9 @@
.. branch: numpypy-real-as-view
Convert real, imag from ufuncs to views. This involves the beginning of
view() functionality
+.. branch: indexing-by-array
+Adds indexing by scalar, adds int conversion from scalar and single element
array,
+fixes compress, indexing by an array with a smaller shape and the indexed
object.
.. branch: signatures
Improved RPython typing
diff --git a/pypy/module/micronumpy/arrayimpl/base.py
b/pypy/module/micronumpy/arrayimpl/base.py
--- a/pypy/module/micronumpy/arrayimpl/base.py
+++ b/pypy/module/micronumpy/arrayimpl/base.py
@@ -6,7 +6,7 @@
def base(self):
raise NotImplementedError
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
raise NotImplementedError
class BaseArrayIterator(object):
diff --git a/pypy/module/micronumpy/arrayimpl/concrete.py
b/pypy/module/micronumpy/arrayimpl/concrete.py
--- a/pypy/module/micronumpy/arrayimpl/concrete.py
+++ b/pypy/module/micronumpy/arrayimpl/concrete.py
@@ -1,5 +1,5 @@
-from pypy.module.micronumpy.arrayimpl import base
+from pypy.module.micronumpy.arrayimpl import base, scalar
from pypy.module.micronumpy import support, loop, iter
from pypy.module.micronumpy.base import convert_to_array, W_NDimArray,\
ArrayArgumentException
@@ -20,7 +20,7 @@
parent = None
# JIT hints that length of all those arrays is a constant
-
+
def get_shape(self):
shape = self.shape
jit.hint(len(shape), promote=True)
@@ -71,7 +71,7 @@
new_shape, self, orig_array)
else:
return None
-
+
def get_real(self, orig_array):
strides = self.get_strides()
backstrides = self.get_backstrides()
@@ -79,7 +79,7 @@
dtype = self.dtype.float_type
return SliceArray(self.start, strides, backstrides,
self.get_shape(), self, orig_array, dtype=dtype)
- return SliceArray(self.start, strides, backstrides,
+ return SliceArray(self.start, strides, backstrides,
self.get_shape(), self, orig_array)
def get_imag(self, orig_array):
@@ -87,7 +87,7 @@
backstrides = self.get_backstrides()
if self.dtype.is_complex_type():
dtype = self.dtype.float_type
- return SliceArray(self.start + dtype.get_size(), strides,
+ return SliceArray(self.start + dtype.get_size(), strides,
backstrides, self.get_shape(), self, orig_array,
dtype=dtype)
if self.dtype.is_flexible_type():
# numpy returns self for self.imag
@@ -148,16 +148,12 @@
space.isinstance_w(w_idx, space.w_slice) or
space.is_w(w_idx, space.w_None)):
raise IndexError
- if isinstance(w_idx, W_NDimArray):
+ if isinstance(w_idx, W_NDimArray) and not
isinstance(w_idx.implementation, scalar.Scalar):
raise ArrayArgumentException
shape = self.get_shape()
shape_len = len(shape)
- if shape_len == 0:
- raise OperationError(space.w_IndexError, space.wrap(
- "0-d arrays can't be indexed"))
view_w = None
- if (space.isinstance_w(w_idx, space.w_list) or
- isinstance(w_idx, W_NDimArray)):
+ if space.isinstance_w(w_idx, space.w_list):
raise ArrayArgumentException
if space.isinstance_w(w_idx, space.w_tuple):
view_w = space.fixedview(w_idx)
@@ -260,10 +256,10 @@
shape = self.get_shape()[:]
strides = self.get_strides()[:]
backstrides = self.get_backstrides()[:]
- shape[axis1], shape[axis2] = shape[axis2], shape[axis1]
+ shape[axis1], shape[axis2] = shape[axis2], shape[axis1]
strides[axis1], strides[axis2] = strides[axis2], strides[axis1]
- backstrides[axis1], backstrides[axis2] = backstrides[axis2],
backstrides[axis1]
- return W_NDimArray.new_slice(self.start, strides,
+ backstrides[axis1], backstrides[axis2] = backstrides[axis2],
backstrides[axis1]
+ return W_NDimArray.new_slice(self.start, strides,
backstrides, shape, self, orig_arr)
def get_storage_as_int(self, space):
@@ -294,12 +290,12 @@
self.backstrides = backstrides
self.storage = storage
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
if shape is None or shape == self.get_shape():
return iter.ConcreteArrayIterator(self)
r = calculate_broadcast_strides(self.get_strides(),
self.get_backstrides(),
- self.get_shape(), shape)
+ self.get_shape(), shape,
backward_broadcast)
return iter.MultiDimViewIterator(self, self.dtype, 0, r[0], r[1],
shape)
def fill(self, box):
@@ -330,13 +326,13 @@
free_raw_storage(self.storage, track_allocation=False)
-
+
class NonWritableArray(ConcreteArray):
def descr_setitem(self, space, orig_array, w_index, w_value):
raise OperationError(space.w_RuntimeError, space.wrap(
"array is not writable"))
-
+
class SliceArray(BaseConcreteArray):
def __init__(self, start, strides, backstrides, shape, parent, orig_arr,
@@ -362,15 +358,16 @@
def fill(self, box):
loop.fill(self, box.convert_to(self.dtype))
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
if shape is not None and shape != self.get_shape():
r = calculate_broadcast_strides(self.get_strides(),
self.get_backstrides(),
- self.get_shape(), shape)
+ self.get_shape(), shape,
+ backward_broadcast)
return iter.MultiDimViewIterator(self.parent, self.dtype,
self.start, r[0], r[1], shape)
if len(self.get_shape()) == 1:
- return iter.OneDimViewIterator(self.parent, self.dtype,
self.start,
+ return iter.OneDimViewIterator(self.parent, self.dtype, self.start,
self.get_strides(), self.get_shape())
return iter.MultiDimViewIterator(self.parent, self.dtype, self.start,
self.get_strides(),
diff --git a/pypy/module/micronumpy/arrayimpl/scalar.py
b/pypy/module/micronumpy/arrayimpl/scalar.py
--- a/pypy/module/micronumpy/arrayimpl/scalar.py
+++ b/pypy/module/micronumpy/arrayimpl/scalar.py
@@ -38,7 +38,7 @@
def get_strides(self):
return []
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
return ScalarIterator(self)
def get_scalar_value(self):
@@ -69,7 +69,7 @@
def descr_setitem(self, space, _, w_idx, w_val):
raise OperationError(space.w_IndexError,
space.wrap("scalars cannot be indexed"))
-
+
def setitem_index(self, space, idx, w_val):
raise OperationError(space.w_IndexError,
space.wrap("scalars cannot be indexed"))
@@ -86,7 +86,7 @@
def reshape(self, space, orig_array, new_shape):
return self.set_shape(space, orig_array, new_shape)
-
+
def create_axis_iter(self, shape, dim, cum):
raise Exception("axis iter should not happen on scalar")
diff --git a/pypy/module/micronumpy/interp_flatiter.py
b/pypy/module/micronumpy/interp_flatiter.py
--- a/pypy/module/micronumpy/interp_flatiter.py
+++ b/pypy/module/micronumpy/interp_flatiter.py
@@ -19,7 +19,7 @@
def get_shape(self):
return self.shape
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
assert isinstance(self.base(), W_NDimArray)
return self.base().create_iter()
diff --git a/pypy/module/micronumpy/interp_numarray.py
b/pypy/module/micronumpy/interp_numarray.py
--- a/pypy/module/micronumpy/interp_numarray.py
+++ b/pypy/module/micronumpy/interp_numarray.py
@@ -15,6 +15,7 @@
from pypy.module.micronumpy import loop
from pypy.module.micronumpy.dot import match_dot_shapes
from pypy.module.micronumpy.interp_arrayops import repeat, choose
+from pypy.module.micronumpy.arrayimpl import scalar
from rpython.tool.sourcetools import func_with_new_name
from rpython.rlib import jit
from rpython.rlib.rstring import StringBuilder
@@ -79,7 +80,11 @@
raise OperationError(space.w_ValueError,
space.wrap("index out of range for array"))
size = loop.count_all_true(arr)
- res = W_NDimArray.from_shape([size], self.get_dtype())
+ if len(arr.get_shape()) == 1:
+ res_shape = [size] + self.get_shape()[1:]
+ else:
+ res_shape = [size]
+ res = W_NDimArray.from_shape(res_shape, self.get_dtype())
return loop.getitem_filter(res, self, arr)
def setitem_filter(self, space, idx, val):
@@ -223,9 +228,10 @@
s.append('])')
return s.build()
- def create_iter(self, shape=None):
+ def create_iter(self, shape=None, backward_broadcast=False):
assert isinstance(self.implementation, BaseArrayImplementation)
- return self.implementation.create_iter(shape)
+ return self.implementation.create_iter(shape=shape,
+ backward_broadcast=backward_broadcast)
def create_axis_iter(self, shape, dim, cum):
return self.implementation.create_axis_iter(shape, dim, cum)
@@ -362,8 +368,11 @@
if not space.is_none(w_axis):
raise OperationError(space.w_NotImplementedError,
space.wrap("axis unsupported for compress"))
+ arr = self
+ else:
+ arr = self.descr_reshape(space, [space.wrap(-1)])
index = convert_to_array(space, w_obj)
- return self.getitem_filter(space, index)
+ return arr.getitem_filter(space, index)
def descr_flatten(self, space, w_order=None):
if self.is_scalar():
@@ -759,6 +768,15 @@
descr_argmax = _reduce_argmax_argmin_impl("max")
descr_argmin = _reduce_argmax_argmin_impl("min")
+ def descr_int(self, space):
+ shape = self.get_shape()
+ if len(shape) == 0:
+ assert isinstance(self.implementation, scalar.Scalar)
+ return
space.int(space.wrap(self.implementation.get_scalar_value()))
+ if shape == [1]:
+ return space.int(self.descr_getitem(space, space.wrap(0)))
+ raise OperationError(space.w_TypeError, space.wrap("only length-1
arrays can be converted to Python scalars"))
+
@unwrap_spec(offset=int)
def descr_new_array(space, w_subtype, w_shape, w_dtype=None, w_buffer=None,
@@ -799,6 +817,7 @@
__repr__ = interp2app(W_NDimArray.descr_repr),
__str__ = interp2app(W_NDimArray.descr_str),
+ __int__ = interp2app(W_NDimArray.descr_int),
__pos__ = interp2app(W_NDimArray.descr_pos),
__neg__ = interp2app(W_NDimArray.descr_neg),
diff --git a/pypy/module/micronumpy/loop.py b/pypy/module/micronumpy/loop.py
--- a/pypy/module/micronumpy/loop.py
+++ b/pypy/module/micronumpy/loop.py
@@ -300,9 +300,12 @@
def getitem_filter(res, arr, index):
res_iter = res.create_iter()
- index_iter = index.create_iter()
+ shapelen = len(arr.get_shape())
+ if shapelen > 1 and len(index.get_shape()) < 2:
+ index_iter = index.create_iter(arr.get_shape(),
backward_broadcast=True)
+ else:
+ index_iter = index.create_iter()
arr_iter = arr.create_iter()
- shapelen = len(arr.get_shape())
arr_dtype = arr.get_dtype()
index_dtype = index.get_dtype()
# XXX length of shape of index as well?
diff --git a/pypy/module/micronumpy/strides.py
b/pypy/module/micronumpy/strides.py
--- a/pypy/module/micronumpy/strides.py
+++ b/pypy/module/micronumpy/strides.py
@@ -40,7 +40,7 @@
rshape += shape[s:]
return rshape, rstart, rstrides, rbackstrides
-def calculate_broadcast_strides(strides, backstrides, orig_shape, res_shape):
+def calculate_broadcast_strides(strides, backstrides, orig_shape, res_shape,
backwards=False):
rstrides = []
rbackstrides = []
for i in range(len(orig_shape)):
@@ -50,8 +50,12 @@
else:
rstrides.append(strides[i])
rbackstrides.append(backstrides[i])
- rstrides = [0] * (len(res_shape) - len(orig_shape)) + rstrides
- rbackstrides = [0] * (len(res_shape) - len(orig_shape)) + rbackstrides
+ if backwards:
+ rstrides = rstrides + [0] * (len(res_shape) - len(orig_shape))
+ rbackstrides = rbackstrides + [0] * (len(res_shape) - len(orig_shape))
+ else:
+ rstrides = [0] * (len(res_shape) - len(orig_shape)) + rstrides
+ rbackstrides = [0] * (len(res_shape) - len(orig_shape)) + rbackstrides
return rstrides, rbackstrides
def is_single_elem(space, w_elem, is_rec_type):
diff --git a/pypy/module/micronumpy/test/test_numarray.py
b/pypy/module/micronumpy/test/test_numarray.py
--- a/pypy/module/micronumpy/test/test_numarray.py
+++ b/pypy/module/micronumpy/test/test_numarray.py
@@ -1357,7 +1357,7 @@
assert a[1] == 'xyz'
assert a.imag[0] == 'abc'
raises(TypeError, 'a.imag = "qop"')
- a=array([[1+1j, 2-3j, 4+5j],[-6+7j, 8-9j, -2-1j]])
+ a=array([[1+1j, 2-3j, 4+5j],[-6+7j, 8-9j, -2-1j]])
assert a.real[0,1] == 2
a.real[0,1] = -20
assert a[0,1].real == -20
@@ -1367,7 +1367,7 @@
assert a[1,2].imag == 30
a.real = 13
assert a[1,1].real == 13
- a=array([1+1j, 2-3j, 4+5j, -6+7j, 8-9j, -2-1j])
+ a=array([1+1j, 2-3j, 4+5j, -6+7j, 8-9j, -2-1j])
a.real = 13
assert a[3].real == 13
a.imag = -5
@@ -1544,29 +1544,29 @@
from numpypy import array
# testcases from numpy docstring
x = array([[1, 2, 3]])
- assert (x.swapaxes(0, 1) == array([[1], [2], [3]])).all()
+ assert (x.swapaxes(0, 1) == array([[1], [2], [3]])).all()
x = array([[[0,1],[2,3]],[[4,5],[6,7]]]) # shape = (2, 2, 2)
- assert (x.swapaxes(0, 2) == array([[[0, 4], [2, 6]],
- [[1, 5], [3, 7]]])).all()
- assert (x.swapaxes(0, 1) == array([[[0, 1], [4, 5]],
+ assert (x.swapaxes(0, 2) == array([[[0, 4], [2, 6]],
+ [[1, 5], [3, 7]]])).all()
+ assert (x.swapaxes(0, 1) == array([[[0, 1], [4, 5]],
[[2, 3], [6, 7]]])).all()
- assert (x.swapaxes(1, 2) == array([[[0, 2], [1, 3]],
+ assert (x.swapaxes(1, 2) == array([[[0, 2], [1, 3]],
[[4, 6],[5, 7]]])).all()
# more complex shape i.e. (2, 2, 3)
- x = array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
- assert (x.swapaxes(0, 1) == array([[[1, 2, 3], [7, 8, 9]],
- [[4, 5, 6], [10, 11, 12]]])).all()
- assert (x.swapaxes(0, 2) == array([[[1, 7], [4, 10]], [[2, 8], [5,
11]],
- [[3, 9], [6, 12]]])).all()
- assert (x.swapaxes(1, 2) == array([[[1, 4], [2, 5], [3, 6]],
- [[7, 10], [8, 11],[9, 12]]])).all()
+ x = array([[[1, 2, 3], [4, 5, 6]], [[7, 8, 9], [10, 11, 12]]])
+ assert (x.swapaxes(0, 1) == array([[[1, 2, 3], [7, 8, 9]],
+ [[4, 5, 6], [10, 11, 12]]])).all()
+ assert (x.swapaxes(0, 2) == array([[[1, 7], [4, 10]], [[2, 8], [5,
11]],
+ [[3, 9], [6, 12]]])).all()
+ assert (x.swapaxes(1, 2) == array([[[1, 4], [2, 5], [3, 6]],
+ [[7, 10], [8, 11],[9, 12]]])).all()
# test slice
- assert (x[0:1,0:2].swapaxes(0,2) == array([[[1], [4]], [[2], [5]],
+ assert (x[0:1,0:2].swapaxes(0,2) == array([[[1], [4]], [[2], [5]],
[[3], [6]]])).all()
# test virtual
- assert ((x + x).swapaxes(0,1) == array([[[ 2, 4, 6], [14, 16, 18]],
+ assert ((x + x).swapaxes(0,1) == array([[[ 2, 4, 6], [14, 16, 18]],
[[ 8, 10, 12], [20, 22, 24]]])).all()
assert array(1).swapaxes(10, 12) == 1
@@ -1595,7 +1595,7 @@
assert (zeros(1)[[]] == []).all()
def test_int_array_index_setitem(self):
- from numpypy import array, arange, zeros
+ from numpypy import arange, zeros, array
a = arange(10)
a[[3, 2, 1, 5]] = zeros(4, dtype=int)
assert (a == [0, 0, 0, 0, 4, 0, 6, 7, 8, 9]).all()
@@ -1610,12 +1610,16 @@
assert (b[array([True, False, True])] == [0, 2]).all()
raises(ValueError, "array([1, 2])[array([True, True, True])]")
raises(ValueError, "b[array([[True, False], [True, False]])]")
+ a = array([[1,2,3],[4,5,6],[7,8,9]],int)
+ c = array([True,False,True],bool)
+ b = a[c]
+ assert (a[c] == [[1, 2, 3], [7, 8, 9]]).all()
def test_bool_array_index_setitem(self):
from numpypy import arange, array
b = arange(5)
b[array([True, False, True])] = [20, 21, 0, 0, 0, 0, 0]
- assert (b == [20, 1, 21, 3, 4]).all()
+ assert (b == [20, 1, 21, 3, 4]).all()
raises(ValueError, "array([1, 2])[array([True, False, True])] = [1, 2,
3]")
def test_weakref(self):
@@ -1727,6 +1731,13 @@
b = array([1, 2, 3, 4])
assert (a == b) == False
+ def test__int__(self):
+ from numpypy import array
+ assert int(array(1)) == 1
+ assert int(array([1])) == 1
+ assert raises(TypeError, "int(array([1, 2]))")
+ assert int(array([1.5])) == 1
+
class AppTestMultiDim(BaseNumpyAppTest):
def test_init(self):
@@ -2060,7 +2071,6 @@
assert isinstance(i['data'][0], int)
def test_array_indexing_one_elem(self):
- skip("not yet")
from numpypy import array, arange
raises(IndexError, 'arange(3)[array([3.5])]')
a = arange(3)[array([1])]
@@ -2154,6 +2164,7 @@
a = arange(10)
assert (a.compress([True, False, True]) == [0, 2]).all()
assert (a.compress([1, 0, 13]) == [0, 2]).all()
+ assert (a.compress([1, 0, 13]) == [0, 2]).all()
assert (a.compress([1, 0, 13.5]) == [0, 2]).all()
assert (a.compress(array([1, 0, 13.5], dtype='>f4')) == [0, 2]).all()
assert (a.compress(array([1, 0, 13.5], dtype='<f4')) == [0, 2]).all()
@@ -2272,7 +2283,7 @@
BaseNumpyAppTest.setup_class.im_func(cls)
cls.w_data = cls.space.wrap(struct.pack('dddd', 1, 2, 3, 4))
cls.w_fdata = cls.space.wrap(struct.pack('f', 2.3))
- cls.w_float16val = cls.space.wrap('\x00E') # 5.0 in float16
+ cls.w_float16val = cls.space.wrap('\x00E') # 5.0 in float16
cls.w_float32val = cls.space.wrap(struct.pack('f', 5.2))
cls.w_float64val = cls.space.wrap(struct.pack('d', 300.4))
cls.w_ulongval = cls.space.wrap(struct.pack('L', 12))
@@ -2389,7 +2400,7 @@
from numpypy import array, arange
assert array(2.0).argsort() == 0
nnp = self.non_native_prefix
- for dtype in ['int', 'float', 'int16', 'float32', 'uint64',
+ for dtype in ['int', 'float', 'int16', 'float32', 'uint64',
nnp + 'i2', complex]:
a = array([6, 4, -1, 3, 8, 3, 256+20, 100, 101], dtype=dtype)
c = a.copy()
@@ -2399,7 +2410,7 @@
assert (a == c).all() # not modified
a = arange(100)
assert (a.argsort() == a).all()
- raises(NotImplementedError, 'arange(10,dtype="float16").argsort()')
+ raises(NotImplementedError, 'arange(10,dtype="float16").argsort()')
def test_argsort_nd(self):
from numpypy import array
@@ -2415,7 +2426,7 @@
def test_argsort_axis(self):
from numpypy import array
- a = array([[4, 2], [1, 3]])
+ a = array([[4, 2], [1, 3]])
assert (a.argsort(axis=None) == [2, 1, 3, 0]).all()
assert (a.argsort(axis=-1) == [[1, 0], [0, 1]]).all()
assert (a.argsort(axis=0) == [[1, 0], [0, 1]]).all()
diff --git a/rpython/rlib/ropenssl.py b/rpython/rlib/ropenssl.py
--- a/rpython/rlib/ropenssl.py
+++ b/rpython/rlib/ropenssl.py
@@ -219,10 +219,10 @@
ssl_external('SSLv23_method', [], SSL_METHOD)
ssl_external('SSL_CTX_use_PrivateKey_file', [SSL_CTX, rffi.CCHARP, rffi.INT],
rffi.INT)
ssl_external('SSL_CTX_use_certificate_chain_file', [SSL_CTX, rffi.CCHARP],
rffi.INT)
-ssl_external('SSL_CTX_get_options', [SSL_CTX], rffi.INT, macro=True)
-ssl_external('SSL_CTX_set_options', [SSL_CTX, rffi.INT], rffi.INT, macro=True)
+ssl_external('SSL_CTX_get_options', [SSL_CTX], rffi.LONG, macro=True)
+ssl_external('SSL_CTX_set_options', [SSL_CTX, rffi.LONG], rffi.LONG,
macro=True)
if HAVE_SSL_CTX_CLEAR_OPTIONS:
- ssl_external('SSL_CTX_clear_options', [SSL_CTX, rffi.INT], rffi.INT,
+ ssl_external('SSL_CTX_clear_options', [SSL_CTX, rffi.LONG], rffi.LONG,
macro=True)
ssl_external('SSL_CTX_ctrl', [SSL_CTX, rffi.INT, rffi.INT, rffi.VOIDP],
rffi.INT)
ssl_external('SSL_CTX_set_verify', [SSL_CTX, rffi.INT, rffi.VOIDP],
lltype.Void)
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