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6 files changed

+44
-34
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6 files changed

+44
-34
lines changed

torch_np/_funcs_impl.py

Lines changed: 14 additions & 7 deletions
Original file line numberDiff line numberDiff line change
@@ -71,14 +71,16 @@ def atleast_3d(*arys: ArrayLike):
7171

7272

7373
def _concat_check(tup, dtype, out):
74+
if tup == ():
75+
raise ValueError("need at least one array to concatenate")
76+
7477
"""Check inputs in concatenate et al."""
75-
if out is not None:
76-
if dtype is not None:
77-
# mimic numpy
78-
raise TypeError(
79-
"concatenate() only takes `out` or `dtype` as an "
80-
"argument, but both were provided."
81-
)
78+
if out is not None and dtype is not None:
79+
# mimic numpy
80+
raise TypeError(
81+
"concatenate() only takes `out` or `dtype` as an "
82+
"argument, but both were provided."
83+
)
8284

8385

8486
def _concat_cast_helper(tensors, out=None, dtype=None, casting="same_kind"):
@@ -331,6 +333,11 @@ def arange(
331333

332334
# work around RuntimeError: "arange_cpu" not implemented for 'ComplexFloat'
333335
work_dtype = torch.float64 if target_dtype.is_complex else target_dtype
336+
337+
if (step > 0 and start > stop) or (step < 0 and start < stop):
338+
# empty range
339+
return torch.empty(0, dtype=target_dtype)
340+
334341
result = torch.arange(start, stop, step, dtype=work_dtype)
335342
result = _util.cast_if_needed(result, target_dtype)
336343
return result

torch_np/tests/numpy_tests/core/test_multiarray.py

Lines changed: 8 additions & 8 deletions
Original file line numberDiff line numberDiff line change
@@ -1532,9 +1532,9 @@ def test_squeeze(self):
15321532
def test_transpose(self):
15331533
a = np.array([[1, 2], [3, 4]])
15341534
assert_equal(a.transpose(), [[1, 3], [2, 4]])
1535-
assert_raises(ValueError, lambda: a.transpose(0))
1536-
assert_raises(ValueError, lambda: a.transpose(0, 0))
1537-
assert_raises(ValueError, lambda: a.transpose(0, 1, 2))
1535+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0))
1536+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0, 0))
1537+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0, 1, 2))
15381538

15391539
def test_sort(self):
15401540
# test ordering for floats and complex containing nans. It is only
@@ -7270,8 +7270,8 @@ def test_error(self):
72707270
c = [True, True]
72717271
a = np.ones((4, 5))
72727272
b = np.ones((5, 5))
7273-
assert_raises(ValueError, np.where, c, a, a)
7274-
assert_raises(ValueError, np.where, c[0], a, b)
7273+
assert_raises((RuntimeError, ValueError), np.where, c, a, a)
7274+
assert_raises((RuntimeError, ValueError), np.where, c[0], a, b)
72757275

72767276
def test_empty_result(self):
72777277
# pass empty where result through an assignment which reads the data of
@@ -7497,14 +7497,14 @@ def test_view_discard_refcount(self):
74977497

74987498
class TestArange:
74997499
def test_infinite(self):
7500-
assert_raises_regex(
7501-
ValueError, "size exceeded",
7500+
assert_raises(
7501+
(RuntimeError, ValueError), # "unsupported range",
75027502
np.arange, 0, np.inf
75037503
)
75047504

75057505
def test_nan_step(self):
75067506
assert_raises(
7507-
ValueError, # "cannot compute length",
7507+
(RuntimeError, ValueError), # "cannot compute length",
75087508
np.arange, 0, 1, np.nan
75097509
)
75107510

torch_np/tests/numpy_tests/core/test_shape_base.py

Lines changed: 13 additions & 13 deletions
Original file line numberDiff line numberDiff line change
@@ -256,16 +256,16 @@ def test_exceptions(self):
256256
for ndim in [1, 2, 3]:
257257
a = np.ones((1,)*ndim)
258258
np.concatenate((a, a), axis=0) # OK
259-
assert_raises(np.AxisError, np.concatenate, (a, a), axis=ndim)
260-
assert_raises(np.AxisError, np.concatenate, (a, a), axis=-(ndim + 1))
259+
assert_raises((IndexError, np.AxisError), np.concatenate, (a, a), axis=ndim)
260+
assert_raises((IndexError, np.AxisError), np.concatenate, (a, a), axis=-(ndim + 1))
261261

262262
# Scalars cannot be concatenated
263-
assert_raises(ValueError, concatenate, (0,))
264-
assert_raises(ValueError, concatenate, (np.array(0),))
263+
assert_raises((RuntimeError, ValueError), concatenate, (0,))
264+
assert_raises((RuntimeError, ValueError), concatenate, (np.array(0),))
265265

266266
# dimensionality must match
267267
assert_raises(
268-
ValueError,
268+
(RuntimeError, ValueError),
269269
# assert_raises_regex(
270270
# ValueError,
271271
# r"all the input arrays must have same number of dimensions, but "
@@ -283,7 +283,7 @@ def test_exceptions(self):
283283
np.concatenate((a, b), axis=axis[0]) # OK
284284
# assert_raises_regex(
285285
assert_raises(
286-
ValueError,
286+
(RuntimeError, ValueError),
287287
# "all the input array dimensions except for the concatenation axis "
288288
# "must match exactly, but along dimension {}, the array at "
289289
# "index 0 has size 1 and the array at index 1 has size 2"
@@ -292,7 +292,7 @@ def test_exceptions(self):
292292
(a, b),
293293
axis=axis[1],
294294
)
295-
assert_raises(ValueError, np.concatenate, (a, b), axis=axis[2])
295+
assert_raises((RuntimeError, ValueError), np.concatenate, (a, b), axis=axis[2])
296296
a = np.moveaxis(a, -1, 0)
297297
b = np.moveaxis(b, -1, 0)
298298
axis.append(axis.pop(0))
@@ -359,7 +359,7 @@ def test_concatenate(self):
359359
assert_array_equal(concatenate((a23.T, a13.T), 1), res.T)
360360
assert_array_equal(concatenate((a23.T, a13.T), -1), res.T)
361361
# Arrays much match shape
362-
assert_raises(ValueError, concatenate, (a23.T, a13.T), 0)
362+
assert_raises((RuntimeError, ValueError), concatenate, (a23.T, a13.T), 0)
363363
# 3D
364364
res = np.arange(2 * 3 * 7).reshape((2, 3, 7))
365365
a0 = res[..., :4]
@@ -474,11 +474,11 @@ def test_stack():
474474
# edge cases
475475
assert_raises(ValueError, stack, [])
476476
assert_raises(ValueError, stack, [])
477-
assert_raises(ValueError, stack, [1, np.arange(3)])
478-
assert_raises(ValueError, stack, [np.arange(3), 1])
479-
assert_raises(ValueError, stack, [np.arange(3), 1], axis=1)
480-
assert_raises(ValueError, stack, [np.zeros((3, 3)), np.zeros(3)], axis=1)
481-
assert_raises(ValueError, stack, [np.arange(2), np.arange(3)])
477+
assert_raises((RuntimeError, ValueError), stack, [1, np.arange(3)])
478+
assert_raises((RuntimeError, ValueError), stack, [np.arange(3), 1])
479+
assert_raises((RuntimeError, ValueError), stack, [np.arange(3), 1], axis=1)
480+
assert_raises((RuntimeError, ValueError), stack, [np.zeros((3, 3)), np.zeros(3)], axis=1)
481+
assert_raises((RuntimeError, ValueError), stack, [np.arange(2), np.arange(3)])
482482

483483
# generator is deprecated: numpy 1.24 emits a warning but we don't
484484
# with assert_warns(FutureWarning):

torch_np/tests/test_basic.py

Lines changed: 0 additions & 1 deletion
Original file line numberDiff line numberDiff line change
@@ -104,7 +104,6 @@ def test_array(self, func, axis):
104104
w.all,
105105
w.any,
106106
w.mean,
107-
w.nanmean,
108107
w.argsort,
109108
w.std,
110109
w.var,

torch_np/tests/test_function_base.py

Lines changed: 6 additions & 2 deletions
Original file line numberDiff line numberDiff line change
@@ -7,10 +7,14 @@
77

88
class TestArange:
99
def test_infinite(self):
10-
assert_raises(ValueError, np.arange, 0, np.inf) # "size exceeded",
10+
assert_raises(
11+
(RuntimeError, ValueError), np.arange, 0, np.inf
12+
) # "size exceeded",
1113

1214
def test_nan_step(self):
13-
assert_raises(ValueError, np.arange, 0, 1, np.nan) # "cannot compute length",
15+
assert_raises(
16+
(RuntimeError, ValueError), np.arange, 0, 1, np.nan
17+
) # "cannot compute length",
1418

1519
def test_zero_step(self):
1620
assert_raises(ZeroDivisionError, np.arange, 0, 10, 0)

torch_np/tests/test_ndarray_methods.py

Lines changed: 3 additions & 3 deletions
Original file line numberDiff line numberDiff line change
@@ -88,9 +88,9 @@ def test_transpose_method(self):
8888
a = np.array([[1, 2], [3, 4]])
8989
assert_equal(a.transpose(), [[1, 3], [2, 4]])
9090
assert_equal(a.transpose(None), [[1, 3], [2, 4]])
91-
assert_raises(ValueError, lambda: a.transpose(0))
92-
assert_raises(ValueError, lambda: a.transpose(0, 0))
93-
assert_raises(ValueError, lambda: a.transpose(0, 1, 2))
91+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0))
92+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0, 0))
93+
assert_raises((RuntimeError, ValueError), lambda: a.transpose(0, 1, 2))
9494

9595
assert a.transpose().tensor._base is a.tensor
9696

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