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test_creation_functions.py
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import warnings
from numpy.testing import assert_raises
import numpy as np
import pytest
from .. import all
from .._creation_functions import (
asarray,
arange,
empty,
empty_like,
eye,
from_dlpack,
full,
full_like,
linspace,
meshgrid,
ones,
ones_like,
zeros,
zeros_like,
)
from .._dtypes import int16, float32, float64
from .._array_object import Array, CPU_DEVICE, Device
from .._flags import set_array_api_strict_flags
def test_asarray_errors():
# Test various protections against incorrect usage
assert_raises(TypeError, lambda: Array([1]))
assert_raises(TypeError, lambda: asarray(["a"]))
with assert_raises(ValueError), warnings.catch_warnings(record=True) as w:
warnings.simplefilter("always")
asarray([1.0], dtype=np.float16)
assert len(w) == 1
assert issubclass(w[-1].category, UserWarning)
assert_raises(OverflowError, lambda: asarray(2**100))
# Preferably this would be OverflowError
# assert_raises(OverflowError, lambda: asarray([2**100]))
assert_raises(TypeError, lambda: asarray([2**100]))
asarray([1], device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: asarray([1], device="cpu"))
assert_raises(ValueError, lambda: asarray([1], device="gpu"))
assert_raises(ValueError, lambda: asarray([1], dtype=int))
assert_raises(ValueError, lambda: asarray([1], dtype="i"))
def test_asarray_copy():
a = asarray([1])
b = asarray(a, copy=True)
a[0] = 0
assert all(b[0] == 1)
assert all(a[0] == 0)
a = asarray([1])
b = asarray(a, copy=False)
a[0] = 0
assert all(b[0] == 0)
a = asarray([1])
assert_raises(ValueError, lambda: asarray(a, copy=False, dtype=float64))
a = asarray([1])
b = asarray(a, copy=None)
a[0] = 0
assert all(b[0] == 0)
a = asarray([1])
b = asarray(a, dtype=float64, copy=None)
a[0] = 0
assert all(b[0] == 1.0)
# Python built-in types
for obj in [True, 0, 0.0, 0j, [0], [[0]]]:
asarray(obj, copy=True) # No error
asarray(obj, copy=None) # No error
assert_raises(ValueError, lambda: asarray(obj, copy=False))
# Buffer protocol
a = np.array([1])
b = asarray(a, copy=True)
assert isinstance(b, Array)
a[0] = 0
assert all(b[0] == 1)
a = np.array([1])
b = asarray(a, copy=False)
assert isinstance(b, Array)
a[0] = 0
assert all(b[0] == 0)
a = np.array([1])
b = asarray(a, copy=None)
assert isinstance(b, Array)
a[0] = 0
assert all(b[0] == 0)
def test_asarray_list_of_lists():
a = asarray(1, dtype=int16)
b = asarray([1], dtype=int16)
res = asarray([a, a])
assert res.shape == (2,)
assert res.dtype == int16
assert all(res == asarray([1, 1]))
res = asarray([b, b])
assert res.shape == (2, 1)
assert res.dtype == int16
assert all(res == asarray([[1], [1]]))
def test_asarray_device_inference():
assert asarray([1, 2, 3]).device == CPU_DEVICE
x = asarray([1, 2, 3])
assert asarray(x).device == CPU_DEVICE
device1 = Device("device1")
x = asarray([1, 2, 3], device=device1)
assert asarray(x).device == device1
def test_arange_errors():
arange(1, device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: arange(1, device="cpu"))
assert_raises(ValueError, lambda: arange(1, device="gpu"))
assert_raises(ValueError, lambda: arange(1, dtype=int))
assert_raises(ValueError, lambda: arange(1, dtype="i"))
def test_empty_errors():
empty((1,), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: empty((1,), device="cpu"))
assert_raises(ValueError, lambda: empty((1,), device="gpu"))
assert_raises(ValueError, lambda: empty((1,), dtype=int))
assert_raises(ValueError, lambda: empty((1,), dtype="i"))
def test_empty_like_errors():
empty_like(asarray(1), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: empty_like(asarray(1), device="cpu"))
assert_raises(ValueError, lambda: empty_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: empty_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: empty_like(asarray(1), dtype="i"))
def test_eye_errors():
eye(1, device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: eye(1, device="cpu"))
assert_raises(ValueError, lambda: eye(1, device="gpu"))
assert_raises(ValueError, lambda: eye(1, dtype=int))
assert_raises(ValueError, lambda: eye(1, dtype="i"))
def test_full_errors():
full((1,), 0, device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: full((1,), 0, device="cpu"))
assert_raises(ValueError, lambda: full((1,), 0, device="gpu"))
assert_raises(ValueError, lambda: full((1,), 0, dtype=int))
assert_raises(ValueError, lambda: full((1,), 0, dtype="i"))
def test_full_like_errors():
full_like(asarray(1), 0, device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: full_like(asarray(1), 0, device="cpu"))
assert_raises(ValueError, lambda: full_like(asarray(1), 0, device="gpu"))
assert_raises(ValueError, lambda: full_like(asarray(1), 0, dtype=int))
assert_raises(ValueError, lambda: full_like(asarray(1), 0, dtype="i"))
def test_linspace_errors():
linspace(0, 1, 10, device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: linspace(0, 1, 10, device="cpu"))
assert_raises(ValueError, lambda: linspace(0, 1, 10, device="gpu"))
assert_raises(ValueError, lambda: linspace(0, 1, 10, dtype=float))
assert_raises(ValueError, lambda: linspace(0, 1, 10, dtype="f"))
def test_ones_errors():
ones((1,), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: ones((1,), device="cpu"))
assert_raises(ValueError, lambda: ones((1,), device="gpu"))
assert_raises(ValueError, lambda: ones((1,), dtype=int))
assert_raises(ValueError, lambda: ones((1,), dtype="i"))
def test_ones_like_errors():
ones_like(asarray(1), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: ones_like(asarray(1), device="cpu"))
assert_raises(ValueError, lambda: ones_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: ones_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: ones_like(asarray(1), dtype="i"))
def test_zeros_errors():
zeros((1,), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: zeros((1,), device="cpu"))
assert_raises(ValueError, lambda: zeros((1,), device="gpu"))
assert_raises(ValueError, lambda: zeros((1,), dtype=int))
assert_raises(ValueError, lambda: zeros((1,), dtype="i"))
def test_zeros_like_errors():
zeros_like(asarray(1), device=CPU_DEVICE) # Doesn't error
assert_raises(ValueError, lambda: zeros_like(asarray(1), device="cpu"))
assert_raises(ValueError, lambda: zeros_like(asarray(1), device="gpu"))
assert_raises(ValueError, lambda: zeros_like(asarray(1), dtype=int))
assert_raises(ValueError, lambda: zeros_like(asarray(1), dtype="i"))
def test_meshgrid_dtype_errors():
# Doesn't raise
meshgrid()
meshgrid(asarray([1.], dtype=float32))
meshgrid(asarray([1.], dtype=float32), asarray([1.], dtype=float32))
assert_raises(ValueError, lambda: meshgrid(asarray([1.], dtype=float32), asarray([1.], dtype=float64)))
@pytest.mark.parametrize("api_version", ['2021.12', '2022.12', '2023.12'])
def from_dlpack_2023_12(api_version):
if api_version != '2022.12':
with pytest.warns(UserWarning):
set_array_api_strict_flags(api_version=api_version)
else:
set_array_api_strict_flags(api_version=api_version)
a = asarray([1., 2., 3.], dtype=float64)
# Never an error
capsule = a.__dlpack__()
from_dlpack(capsule)
exception = NotImplementedError if api_version >= '2023.12' else ValueError
pytest.raises(exception, lambda: from_dlpack(capsule, device=CPU_DEVICE))
pytest.raises(exception, lambda: from_dlpack(capsule, device=None))
pytest.raises(exception, lambda: from_dlpack(capsule, copy=False))
pytest.raises(exception, lambda: from_dlpack(capsule, copy=True))
pytest.raises(exception, lambda: from_dlpack(capsule, copy=None))
def test_from_dlpack_default_device():
x = asarray([1, 2, 3])
y = from_dlpack(x)
z = from_dlpack(np.asarray([1, 2, 3]))
assert x.device == y.device == z.device == CPU_DEVICE