"""
Tests of the ._exceptions module. Primarily for exercising the __str__ methods.
"""
import pickle
import numpy as np
_ArrayMemoryError = np.core._exceptions._ArrayMemoryError
_UFuncNoLoopError = np.core._exceptions._UFuncNoLoopError
class TestArrayMemoryError:
def test_pickling(self):
""" Test that _ArrayMemoryError can be pickled """
error = _ArrayMemoryError((1023,), np.dtype(np.uint8))
res = pickle.loads(pickle.dumps(error))
assert res._total_size == error._total_size
def test_str(self):
e = _ArrayMemoryError((1023,), np.dtype(np.uint8))
str(e) # not crashing is enough
# testing these properties is easier than testing the full string repr
def test__size_to_string(self):
""" Test e._size_to_string """
f = _ArrayMemoryError._size_to_string
Ki = 1024
assert f(0) == '0 bytes'
assert f(1) == '1 bytes'
assert f(1023) == '1023 bytes'
assert f(Ki) == '1.00 KiB'
assert f(Ki+1) == '1.00 KiB'
assert f(10*Ki) == '10.0 KiB'
assert f(int(999.4*Ki)) == '999. KiB'
assert f(int(1023.4*Ki)) == '1023. KiB'
assert f(int(1023.5*Ki)) == '1.00 MiB'
assert f(Ki*Ki) == '1.00 MiB'
# 1023.9999 Mib should round to 1 GiB
assert f(int(Ki*Ki*Ki*0.9999)) == '1.00 GiB'
assert f(Ki*Ki*Ki*Ki*Ki*Ki) == '1.00 EiB'
# larger than sys.maxsize, adding larger prefices isn't going to help
# anyway.
assert f(Ki*Ki*Ki*Ki*Ki*Ki*123456) == '123456. EiB'
def test__total_size(self):
""" Test e._total_size """
e = _ArrayMemoryError((1,), np.dtype(np.uint8))
assert e._total_size == 1
e = _ArrayMemoryError((2, 4), np.dtype((np.uint64, 16)))
assert e._total_size == 1024
class TestUFuncNoLoopError:
def test_pickling(self):
""" Test that _UFuncNoLoopError can be pickled """
assert isinstance(pickle.dumps(_UFuncNoLoopError), bytes)