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-rw-r--r--numpy/core/arrayprint.py20
1 files changed, 14 insertions, 6 deletions
diff --git a/numpy/core/arrayprint.py b/numpy/core/arrayprint.py
index 472318098..0fdd6fc7f 100644
--- a/numpy/core/arrayprint.py
+++ b/numpy/core/arrayprint.py
@@ -468,14 +468,17 @@ def _recursive_guard(fillvalue='...'):
# gracefully handle recursive calls, when object arrays contain themselves
@_recursive_guard()
def _array2string(a, options, separator=' ', prefix=""):
- # The formatter __init__s cannot deal with subclasses yet
- data = asarray(a)
+ # The formatter __init__s in _get_format_function cannot deal with
+ # subclasses yet, and we also need to avoid recursion issues in
+ # _formatArray with subclasses which return 0d arrays in place of scalars
+ a = asarray(a)
if a.size > options['threshold']:
summary_insert = "..."
- data = _leading_trailing(data, options['edgeitems'])
+ data = _leading_trailing(a, options['edgeitems'])
else:
summary_insert = ""
+ data = a
# find the right formatting function for the array
format_function = _get_format_function(data, **options)
@@ -501,7 +504,7 @@ def array2string(a, max_line_width=None, precision=None,
Parameters
----------
- a : ndarray
+ a : array_like
Input array.
max_line_width : int, optional
The maximum number of columns the string should span. Newline
@@ -763,7 +766,7 @@ def _formatArray(a, format_function, line_width, next_line_prefix,
if show_summary:
if legacy == '1.13':
- # trailing space, fixed number of newlines, and fixed separator
+ # trailing space, fixed nbr of newlines, and fixed separator
s += hanging_indent + summary_insert + ", \n"
else:
s += hanging_indent + summary_insert + line_sep
@@ -1413,6 +1416,8 @@ def array_repr(arr, max_line_width=None, precision=None, suppress_small=None):
return arr_str + spacer + dtype_str
+_guarded_str = _recursive_guard()(str)
+
def array_str(a, max_line_width=None, precision=None, suppress_small=None):
"""
Return a string representation of the data in an array.
@@ -1455,7 +1460,10 @@ def array_str(a, max_line_width=None, precision=None, suppress_small=None):
# so floats are not truncated by `precision`, and strings are not wrapped
# in quotes. So we return the str of the scalar value.
if a.shape == ():
- return str(a[()])
+ # obtain a scalar and call str on it, avoiding problems for subclasses
+ # for which indexing with () returns a 0d instead of a scalar by using
+ # ndarray's getindex. Also guard against recursive 0d object arrays.
+ return _guarded_str(np.ndarray.__getitem__(a, ()))
return array2string(a, max_line_width, precision, suppress_small, ' ', "")