Author: Brian Kearns <bdkea...@gmail.com>
Branch:
Changeset: r73836:d3789bd3b3ed
Date: 2014-10-07 18:47 -0400
http://bitbucket.org/pypy/pypy/changeset/d3789bd3b3ed/
Log: fix validation of shape in empty/zeros
diff --git a/pypy/module/micronumpy/ctors.py b/pypy/module/micronumpy/ctors.py
--- a/pypy/module/micronumpy/ctors.py
+++ b/pypy/module/micronumpy/ctors.py
@@ -3,7 +3,7 @@
from rpython.rlib.buffer import SubBuffer
from rpython.rlib.rstring import strip_spaces
from rpython.rtyper.lltypesystem import lltype, rffi
-from pypy.module.micronumpy import descriptor, loop
+from pypy.module.micronumpy import descriptor, loop, support
from pypy.module.micronumpy.base import (
W_NDimArray, convert_to_array, W_NumpyObject)
from pypy.module.micronumpy.converters import shape_converter
@@ -134,6 +134,15 @@
if dtype.is_str_or_unicode() and dtype.elsize < 1:
dtype = descriptor.variable_dtype(space, dtype.char + '1')
shape = shape_converter(space, w_shape, dtype)
+ for dim in shape:
+ if dim < 0:
+ raise OperationError(space.w_ValueError, space.wrap(
+ "negative dimensions are not allowed"))
+ try:
+ support.product(shape)
+ except OverflowError:
+ raise OperationError(space.w_ValueError, space.wrap(
+ "array is too big."))
return W_NDimArray.from_shape(space, shape, dtype=dtype, zero=zero)
def empty(space, w_shape, w_dtype=None, w_order=None):
diff --git a/pypy/module/micronumpy/support.py
b/pypy/module/micronumpy/support.py
--- a/pypy/module/micronumpy/support.py
+++ b/pypy/module/micronumpy/support.py
@@ -1,5 +1,6 @@
from pypy.interpreter.error import OperationError, oefmt
from rpython.rlib import jit
+from rpython.rlib.rarithmetic import ovfcheck
def issequence_w(space, w_obj):
@@ -23,7 +24,7 @@
def product(s):
i = 1
for x in s:
- i *= x
+ i = ovfcheck(i * x)
return i
diff --git a/pypy/module/micronumpy/test/test_ndarray.py
b/pypy/module/micronumpy/test/test_ndarray.py
--- a/pypy/module/micronumpy/test/test_ndarray.py
+++ b/pypy/module/micronumpy/test/test_ndarray.py
@@ -384,6 +384,19 @@
assert zeros((), dtype='S').shape == ()
assert zeros((), dtype='S').dtype == '|S1'
+ def test_check_shape(self):
+ import numpy as np
+ for func in [np.zeros, np.empty]:
+ exc = raises(ValueError, func, [0, -1, 1], 'int8')
+ assert str(exc.value) == "negative dimensions are not allowed"
+ exc = raises(ValueError, func, [2, -1, 3], 'int8')
+ assert str(exc.value) == "negative dimensions are not allowed"
+
+ exc = raises(ValueError, func, [975]*7, 'int8')
+ assert str(exc.value) == "array is too big."
+ exc = raises(ValueError, func, [26244]*5, 'int8')
+ assert str(exc.value) == "array is too big."
+
def test_empty_like(self):
import numpy as np
a = np.empty_like(np.zeros(()))
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