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AliceMazzoleni99
b77a576f72
- automatically run python tests - automatically run test using data files on local runner from gitea - fixed some of the workflows --------- Co-authored-by: Erik Fröjdh <erik.frojdh@psi.ch>
75 lines
2.5 KiB
Python
75 lines
2.5 KiB
Python
# SPDX-License-Identifier: MPL-2.0
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import pytest
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from aare import RawFile
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import numpy as np
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@pytest.mark.withdata
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def test_read_rawfile_with_roi(test_data_path):
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with RawFile(test_data_path / "raw/ROITestData/SingleChipROI/Data_master_0.json") as f:
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headers, frames = f.read()
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assert headers.size == 10100
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assert frames.shape == (10100, 256, 256)
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@pytest.mark.withdata
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def test_read_rawfile_quad_eiger_and_compare_to_numpy(test_data_path):
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d0 = test_data_path/'raw/eiger_quad_data/W13_vrpreampscan_m21C_300V_800eV_vthre2000_d0_f0_0.raw'
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d1 = test_data_path/'raw/eiger_quad_data/W13_vrpreampscan_m21C_300V_800eV_vthre2000_d1_f0_0.raw'
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image = np.zeros((512,512), dtype=np.uint32)
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with open(d0) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset = 20*256*512*4 + 112*21).reshape(256,512)
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image[256:,:] = raw
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with open(d1) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset = 20*256*512*4 + 112*21).reshape(256,512)
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image[0:256,:] = raw[::-1,:]
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with RawFile(test_data_path/'raw/eiger_quad_data/W13_vrpreampscan_m21C_300V_800eV_vthre2000_master_0.json') as f:
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f.seek(20)
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header, image1 = f.read_frame()
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assert (image == image1).all()
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@pytest.mark.withdata
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def test_read_rawfile_eiger_and_compare_to_numpy(test_data_path):
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d0 = test_data_path/'raw/eiger/Lab6_20500eV_2deg_20240629_d0_f0_7.raw'
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d1 = test_data_path/'raw/eiger/Lab6_20500eV_2deg_20240629_d1_f0_7.raw'
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d2 = test_data_path/'raw/eiger/Lab6_20500eV_2deg_20240629_d2_f0_7.raw'
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d3 = test_data_path/'raw/eiger/Lab6_20500eV_2deg_20240629_d3_f0_7.raw'
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image = np.zeros((512,1024), dtype=np.uint32)
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#TODO why is there no header offset?
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with open(d0) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset=112).reshape(256,512)
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image[0:256,0:512] = raw[::-1]
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with open(d1) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset=112).reshape(256,512)
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image[0:256,512:] = raw[::-1]
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with open(d2) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset=112).reshape(256,512)
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image[256:,0:512] = raw
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with open(d3) as f:
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raw = np.fromfile(f, dtype=np.uint32, count = 256*512, offset=112).reshape(256,512)
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image[256:,512:] = raw
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with RawFile(test_data_path/'raw/eiger/Lab6_20500eV_2deg_20240629_master_7.json') as f:
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header, image1 = f.read_frame()
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assert (image == image1).all()
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