94 lines
3.4 KiB
Python
94 lines
3.4 KiB
Python
import pytest
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import os, sys
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from creader import ClusterFileReader
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from fixtures import data_path
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import numpy as np
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def test_open_file_using_Path(data_path):
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# C extension cannot directly parse pathlib.Path to char *
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# Check that implementation is working
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try:
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fname= data_path/'beam_En700eV_-40deg_300V_10us_d0_f0_100.clust'
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r = ClusterFileReader(fname)
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assert r.read(10).size == 10 # Read to make sure file is really open
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except:
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pytest.fail("Could not open file using Path object")
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def test_open_file_using_str(data_path):
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# Check that we didn't mess up the string passing
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try:
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fname= f'{data_path}/beam_En700eV_-40deg_300V_10us_d0_f0_100.clust'
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r = ClusterFileReader(fname)
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assert r.read(10).size == 10 # Read to make sure file is really open
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except:
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pytest.fail("Could not open file using string")
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def test_references_on_read(data_path):
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fname= (data_path/'beam_En700eV_-40deg_300V_10us_d0_f0_100.clust').as_posix()
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r = ClusterFileReader(fname)
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clusters = r.read(10)
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assert sys.getrefcount(clusters) == 2 #Over counts by one due to call by reference
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def test_size_on_read(data_path):
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fname= (data_path/'beam_En700eV_-40deg_300V_10us_d0_f0_100.clust').as_posix()
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r = ClusterFileReader(fname)
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for i in range(10):
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clusters = r.read(10)
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assert clusters.size == 10
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def test_resize_on_read(data_path):
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# File contains 481603 clusters, output should be resized to the correct size
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fname= (data_path/'beam_En700eV_-40deg_300V_10us_d0_f0_100.clust').as_posix()
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r = ClusterFileReader(fname)
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max_clusters = 10000000 #400MB initial allocation
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clusters = r.read(max_clusters)
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assert clusters.size == 481603
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assert sys.getrefcount(clusters) == 2
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def test_read_file_with_single_frame(data_path):
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#File shoud contain one frame 135 with 97 clusters
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fname= (data_path/'single_frame_97_clustrers.clust').as_posix()
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r = ClusterFileReader(fname)
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clusters = r.read(100)
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assert clusters.size == 97
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for i, c in enumerate(clusters):
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assert c['x'] == i+1
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assert c['y'] == i+200
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assert (c['data'] == np.arange(i*9, (i+1)*9, dtype = np.int32)).all()
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def test_read_file_with_single_frame_in_chunks(data_path):
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#File shoud contain one frame 135 with 97 clusters
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fname= (data_path/'single_frame_97_clustrers.clust').as_posix()
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r = ClusterFileReader(fname)
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# clusters = r.read(5)
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total_clusters = 0
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while (clusters:=r.read(5)).size:
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total_clusters += clusters.size
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assert total_clusters == 97
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def test_read_file_with_37_frames(data_path):
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#File shoud contain 37 frames with 5 clusters each
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#Full spec in utils/write_test_data.py
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fname= (data_path/'37frames_with_5_clusters.clust').as_posix()
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r = ClusterFileReader(fname)
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clusters = r.read(200)
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assert clusters.size == 185
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for i, c in enumerate(clusters):
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assert c['x'] == i%5+1
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assert c['y'] == i%5+1
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assert (c['data'] == np.arange(i%5, (i%5)+9, dtype = np.int32)).all()
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def test_read_file_with_37_frames_in_chunks(data_path):
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#File shoud contain 37 frames with 5 clusters each
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#Full spec in utils/write_test_data.py
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fname= (data_path/'37frames_with_5_clusters.clust').as_posix()
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r = ClusterFileReader(fname)
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total_clusters = 0
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while (clusters:=r.read(7)).size:
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total_clusters += clusters.size
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assert total_clusters == 185
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