ai-content-maker/.venv/Lib/site-packages/numba/tests/test_numbers.py

91 lines
3.3 KiB
Python

# (Some) Tests for targets/numbers.py
import numpy as np
from numba import njit
from numba.core import types
from numba.core.errors import TypingError
from numba.tests.support import TestCase
def gen_view(a,b):
def impl(x):
return a(x).view(b)
return impl
class TestViewIntFloat(TestCase):
""" This tests the 'view' method on NumPy scalars. """
def do_testing(self, inputs, dtypes):
for value, initial_type, expected in inputs:
for target_type, result in zip(dtypes, expected):
view = njit(gen_view(initial_type, target_type))
if not np.isnan(result):
# check against predefined value
self.assertEqual(view(value), target_type(result))
# check against numpy
self.assertEqual(view(value),
view.py_func(value))
else:
# check that our implementation results in nan
self.assertTrue(np.isnan(view(value)))
# check that numpy results in nan
self.assertTrue(np.isnan(view.py_func(value)))
def test_8_bits(self):
dtypes = (np.uint8, np.int8)
# Value Initial Type Expected answers using dtypes
inputs = ((1, np.uint8, (1, 1)),
(-1, np.int8, (255, -1)))
self.do_testing(inputs, dtypes)
def test_32_bits(self):
dtypes = (np.uint32, np.int32, np.float32)
# Value Initial Type Expected answers using dtypes
inputs = ((1, np.uint32, (1, 1, 1.401298464324817e-45)),
(-1, np.int32, (4294967295, -1, np.nan)),
(1.0, np.float32, (1065353216, 1065353216, 1.0)))
self.do_testing(inputs, dtypes)
def test_64_bits(self):
dtypes = (np.uint64, np.int64, np.float64)
# Value Initial Type Expected answers using dtypes
inputs = ((1, np.uint64, (1, 1, 5e-324)),
(-1, np.int64, (18446744073709551615, -1, np.nan)),
(1.0, np.float64, (4607182418800017408,
4607182418800017408,
1.0))
)
self.do_testing(inputs, dtypes)
def test_python_scalar_exception(self):
intty = getattr(np, 'int{}'.format(types.intp.bitwidth))
@njit
def myview():
a = 1
a.view(intty)
with self.assertRaises(TypingError) as e:
myview()
self.assertIn("'view' can only be called on NumPy dtypes, "
"try wrapping the variable 'a' with 'np.<dtype>()'",
str(e.exception))
def do_testing_exceptions(self, pair):
with self.assertRaises(TypingError) as e:
view = njit(gen_view(pair[0], pair[1]))
view(1)
self.assertIn("Changing the dtype of a 0d array is only supported "
"if the itemsize is unchanged",
str(e.exception))
def test_exceptions32(self):
for pair in ((np.int32, np.int8), (np.int8, np.int32)):
self.do_testing_exceptions(pair)
def test_exceptions64(self):
for pair in ((np.int32, np.int64), (np.int64, np.int32)):
self.do_testing_exceptions(pair)