56 lines
1.9 KiB
Python
56 lines
1.9 KiB
Python
from hypothesis import (
|
|
assume,
|
|
example,
|
|
given,
|
|
strategies as st,
|
|
)
|
|
import numpy as np
|
|
import pytest
|
|
|
|
import pandas._testing as tm
|
|
|
|
from pandas.io.sas._byteswap import (
|
|
read_double_with_byteswap,
|
|
read_float_with_byteswap,
|
|
read_uint16_with_byteswap,
|
|
read_uint32_with_byteswap,
|
|
read_uint64_with_byteswap,
|
|
)
|
|
|
|
|
|
@given(read_offset=st.integers(0, 11), number=st.integers(min_value=0))
|
|
@example(number=2**16, read_offset=0)
|
|
@example(number=2**32, read_offset=0)
|
|
@example(number=2**64, read_offset=0)
|
|
@pytest.mark.parametrize("int_type", [np.uint16, np.uint32, np.uint64])
|
|
@pytest.mark.parametrize("should_byteswap", [True, False])
|
|
def test_int_byteswap(read_offset, number, int_type, should_byteswap):
|
|
assume(number < 2 ** (8 * int_type(0).itemsize))
|
|
_test(number, int_type, read_offset, should_byteswap)
|
|
|
|
|
|
@pytest.mark.filterwarnings("ignore:overflow encountered:RuntimeWarning")
|
|
@given(read_offset=st.integers(0, 11), number=st.floats())
|
|
@pytest.mark.parametrize("float_type", [np.float32, np.float64])
|
|
@pytest.mark.parametrize("should_byteswap", [True, False])
|
|
def test_float_byteswap(read_offset, number, float_type, should_byteswap):
|
|
_test(number, float_type, read_offset, should_byteswap)
|
|
|
|
|
|
def _test(number, number_type, read_offset, should_byteswap):
|
|
number = number_type(number)
|
|
data = np.random.default_rng().integers(0, 256, size=20, dtype="uint8")
|
|
data[read_offset : read_offset + number.itemsize] = number[None].view("uint8")
|
|
swap_func = {
|
|
np.float32: read_float_with_byteswap,
|
|
np.float64: read_double_with_byteswap,
|
|
np.uint16: read_uint16_with_byteswap,
|
|
np.uint32: read_uint32_with_byteswap,
|
|
np.uint64: read_uint64_with_byteswap,
|
|
}[type(number)]
|
|
output_number = number_type(swap_func(bytes(data), read_offset, should_byteswap))
|
|
if should_byteswap:
|
|
tm.assert_equal(output_number, number.byteswap())
|
|
else:
|
|
tm.assert_equal(output_number, number)
|