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fd0196f2fd
- State before merging the new cluster vector API --------- Co-authored-by: Patrick <patrick.sieberer@psi.ch> Co-authored-by: JulianHeymes <julian.heymes@psi.ch> Co-authored-by: Dhanya Thattil <dhanya.thattil@psi.ch> Co-authored-by: Xiangyu Xie <45243914+xiangyuxie@users.noreply.github.com> Co-authored-by: xiangyu.xie <xiangyu.xie@psi.ch> Co-authored-by: siebsi <sieb.patr@gmail.com>
36 lines
1.2 KiB
Python
36 lines
1.2 KiB
Python
import pytest
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import numpy as np
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from aare import RawSubFile, DetectorType
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@pytest.mark.files
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def test_read_a_jungfrau_RawSubFile(test_data_path):
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with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f1_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
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assert f.frames_in_file == 3
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headers, frames = f.read()
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assert headers.size == 3
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assert frames.shape == (3, 512, 1024)
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# Frame numbers in this file should be 4, 5, 6
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for i,h in zip(range(4,7,1), headers):
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assert h["frameNumber"] == i
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# Compare to canned data using numpy
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data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
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assert np.all(data[3:6] == frames)
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@pytest.mark.files
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def test_iterate_over_a_jungfrau_RawSubFile(test_data_path):
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data = np.load(test_data_path / "raw/jungfrau/jungfrau_single_0.npy")
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with RawSubFile(test_data_path / "raw/jungfrau/jungfrau_single_d0_f0_0.raw", DetectorType.Jungfrau, 512, 1024, 16) as f:
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i = 0
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for header, frame in f:
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assert header["frameNumber"] == i+1
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assert np.all(frame == data[i])
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i += 1
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assert i == 3
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assert header["frameNumber"] == 3 |