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-rw-r--r--numpy/lib/_iotools.py33
1 files changed, 27 insertions, 6 deletions
diff --git a/numpy/lib/_iotools.py b/numpy/lib/_iotools.py
index 54ed96490..44bd48df7 100644
--- a/numpy/lib/_iotools.py
+++ b/numpy/lib/_iotools.py
@@ -518,12 +518,18 @@ class StringConverter(object):
"""
#
_mapper = [(nx.bool_, str2bool, False),
- (nx.integer, int, -1),
- (nx.floating, float, nx.nan),
- (complex, _bytes_to_complex, nx.nan + 0j),
- (nx.string_, bytes, asbytes('???'))]
+ (nx.integer, int, -1)]
+
+ # On 32-bit systems, we need to make sure that we explicitly include
+ # nx.int64 since ns.integer is nx.int32.
+ if nx.dtype(nx.integer).itemsize < nx.dtype(nx.int64).itemsize:
+ _mapper.append((nx.int64, int, -1))
+
+ _mapper.extend([(nx.floating, float, nx.nan),
+ (complex, _bytes_to_complex, nx.nan + 0j),
+ (nx.string_, bytes, asbytes('???'))])
+
(_defaulttype, _defaultfunc, _defaultfill) = zip(*_mapper)
- #
@classmethod
def _getdtype(cls, val):
@@ -677,7 +683,22 @@ class StringConverter(object):
def _strict_call(self, value):
try:
- return self.func(value)
+
+ # We check if we can convert the value using the current function
+ new_value = self.func(value)
+
+ # In addition to having to check whether func can convert the
+ # value, we also have to make sure that we don't get overflow
+ # errors for integers.
+ if self.func is int:
+ try:
+ np.array(value, dtype=self.type)
+ except OverflowError:
+ raise ValueError
+
+ # We're still here so we can now return the new value
+ return new_value
+
except ValueError:
if value.strip() in self.missing_values:
if not self._status: