pyodide/test/packages/test_numpy.py

32 lines
1.0 KiB
Python

def test_numpy(selenium):
selenium.load_package("numpy")
selenium.run("import numpy")
x = selenium.run("numpy.zeros((32, 64))")
assert len(x) == 32
assert all(len(y) == 64 for y in x)
for y in x:
assert all(z == 0 for z in y)
def test_typed_arrays(selenium):
selenium.load_package("numpy")
selenium.run("import numpy")
for (jstype, npytype) in (
('Int8Array', 'int8'),
('Uint8Array', 'uint8'),
('Uint8ClampedArray', 'uint8'),
('Int16Array', 'int16'),
('Uint16Array', 'uint16'),
('Int32Array', 'int32'),
('Uint32Array', 'uint32'),
('Float32Array', 'float32'),
('Float64Array', 'float64')):
print(jstype, npytype)
selenium.run_js(
f'window.array = new {jstype}([1, 2, 3, 4]);\n')
assert selenium.run(
'from js import array\n'
'npyarray = numpy.asarray(array)\n'
f'npyarray.dtype.name == "{npytype}" '
'and npyarray == [1, 2, 3, 4]')