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"""Empirical check that pixpat works correctly with numpy.
pixpat does not depend on numpy. This file proves that ndarrays work
as ``Buffer`` planes through the buffer protocol, in the shapes a
caller would typically use. Skipped when numpy is missing.
"""
import pixpat
import pytest
np = pytest.importorskip('numpy')
def test_xrgb8888_into_uint8_3d_ndarray():
w, h = 64, 32
arr = np.zeros((h, w, 4), dtype=np.uint8)
pixpat.draw_pattern(pixpat.Buffer([arr], 'XRGB8888', w, h, [arr.strides[0]]), 'smpte')
assert arr.any()
def test_abgr16161616_into_uint16_3d_ndarray():
w, h = 64, 32
arr = np.zeros((h, w, 4), dtype=np.uint16)
pixpat.draw_pattern(pixpat.Buffer([arr], 'ABGR16161616', w, h, [arr.strides[0]]), 'smpte')
assert arr.any()
assert arr.dtype == np.uint16
def test_nv12_into_two_ndarrays():
w, h = 64, 32
y = np.zeros((h, w), dtype=np.uint8)
uv = np.zeros((h // 2, w), dtype=np.uint8) # interleaved U,V at half-height
pixpat.draw_pattern(
pixpat.Buffer(
planes=[y, uv],
fmt='NV12',
width=w,
height=h,
strides=[y.strides[0], uv.strides[0]],
),
'smpte',
)
assert y.any()
assert uv.any()
def test_convert_with_readonly_ndarray_src():
"""A numpy view with writeable=False must work as the convert source."""
w, h = 64, 32
src = np.zeros((h, w, 4), dtype=np.uint8)
pixpat.draw_pattern(pixpat.Buffer([src], 'XRGB8888', w, h, [src.strides[0]]), 'smpte')
src.flags.writeable = False
dst = np.zeros((h, w, 4), dtype=np.uint16)
pixpat.convert(
pixpat.Buffer([dst], 'ABGR16161616', w, h, [dst.strides[0]]),
pixpat.Buffer([src], 'XRGB8888', w, h, [src.strides[0]]),
)
assert dst.any()
def test_roundtrip_ndarrays_byte_for_byte():
"""End-to-end XRGB8888 -> ABGR16161616 -> XRGB8888 with ndarrays only."""
w, h = 64, 32
src = np.zeros((h, w, 4), dtype=np.uint8)
mid = np.zeros((h, w, 4), dtype=np.uint16)
dst = np.zeros((h, w, 4), dtype=np.uint8)
pixpat.draw_pattern(pixpat.Buffer([src], 'XRGB8888', w, h, [src.strides[0]]), 'smpte')
pixpat.convert(
pixpat.Buffer([mid], 'ABGR16161616', w, h, [mid.strides[0]]),
pixpat.Buffer([src], 'XRGB8888', w, h, [src.strides[0]]),
)
pixpat.convert(
pixpat.Buffer([dst], 'XRGB8888', w, h, [dst.strides[0]]),
pixpat.Buffer([mid], 'ABGR16161616', w, h, [mid.strides[0]]),
)
assert np.array_equal(src, dst)
def test_writable_view_via_view_method():
"""`arr.view()` shares memory and is writable by default — drawing into
it must update the original."""
w, h = 64, 32
arr = np.zeros((h, w, 4), dtype=np.uint8)
view = arr.view()
pixpat.draw_pattern(pixpat.Buffer([view], 'XRGB8888', w, h, [view.strides[0]]), 'smpte')
assert arr.any() # the original sees the writes
def test_noncontiguous_source_smoke():
"""Discovery test: what happens if the caller hands us a non-C-contiguous
array? pixpat reads ``stride`` bytes per row, so any row-contiguous
layout where ``arr.strides[0]`` is the row stride should work; a
transposed array (where rows aren't even contiguous) is misuse.
This test passes a *valid* row-contiguous slice — the top half of a
bigger image, taken via slicing — and expects success. It exists to
document the contract: 'rows must be contiguous in memory; pass
arr.strides[0] as the stride'.
"""
big = np.zeros((64, 64, 4), dtype=np.uint8)
top_half = big[:32] # shape (32, 64, 4); rows still C-contiguous
assert top_half.strides[0] == 64 * 4
pixpat.draw_pattern(
pixpat.Buffer([top_half], 'XRGB8888', 64, 32, [top_half.strides[0]]),
'smpte',
)
assert big[:32].any()
assert not big[32:].any() # the other half stayed untouched
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