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57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
import numpy as np
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import pytest
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from aare import FastPedestal_d, FastPedestal_f
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@pytest.mark.parametrize(
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("pedestal_type", "expected_dtype"),
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[(FastPedestal_d, np.float64), (FastPedestal_f, np.float32)],
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)
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def test_fast_pedestal_initialization(pedestal_type, expected_dtype):
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pedestal = pedestal_type(2, 3, 2)
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first = np.array([[2, 4, 6], [8, 10, 12]], dtype=np.uint16)
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second = np.array([[4, 6, 8], [10, 12, 14]], dtype=np.uint16)
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pedestal.push_init(first)
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pedestal.push_init(second)
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pedestal.update_mean()
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expected_mean = np.array(
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[[3, 5, 7], [9, 11, 13]], dtype=expected_dtype
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)
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np.testing.assert_array_equal(pedestal.mean(), expected_mean)
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np.testing.assert_array_equal(pedestal.std(), np.ones((2, 3)))
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def test_fast_pedestal_steady_state_push():
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pedestal = FastPedestal_d(1, 2, 2)
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pedestal.push_init(np.array([[2, 4]], dtype=np.uint16))
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pedestal.push_init(np.array([[4, 6]], dtype=np.uint16))
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pedestal.update_mean()
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pedestal.push(np.array([[6, 8]], dtype=np.uint16))
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np.testing.assert_array_equal(pedestal.mean(), [[4.5, 6.5]])
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def test_fast_pedestal_exposes_read_only_buffer_and_subtraction():
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pedestal = FastPedestal_d(1, 2, 1)
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pedestal.push_init(np.array([[2, 4]], dtype=np.uint16))
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pedestal.update_mean()
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view = np.asarray(pedestal)
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result = np.array([[12, 14]], dtype=np.uint16) - pedestal
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np.testing.assert_array_equal(view, [[2, 4]])
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np.testing.assert_array_equal(result, [[10, 10]])
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assert np.shares_memory(view, pedestal.view())
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assert not view.flags.writeable
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def test_fast_pedestal_rejects_wrong_shape():
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pedestal = FastPedestal_d(2, 3)
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with pytest.raises(RuntimeError, match="shape"):
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pedestal.push_init(np.zeros((2, 2), dtype=np.uint16))
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