def test_cached_read():
"Read a file (and cache it)"
import time
#del(pyarbus.data._cache[short_test_file])
tic = time.time()
el = pyarbus.read_eyelink_cached(short_test_file)
toc = time.time()
total_time = toc - tic
# Here, we add a dummy attribute to the object - it should still be there
# after we re-read short_test_file from cache, since we're not modifying
# the object that's stored in the cache.
el.__extra_dummy = 10
tic = time.time()
el = pyarbus.read_eyelink_cached(short_test_file)
# windows time.time is only ms resolution:
# http://mail.python.org/pipermail/python-list/2007-January/1121263.html
toc = time.time() + 0.001
cached_time = toc - tic
speedup = total_time / cached_time
el.__extra_dummy # should *not* raise an attribute error
print("speedup = %.3fx" % speedup)
# the speedup in general depends on the file size, disk speed, and how fast
# we read it, etc, but for the file on this test, I see speedups of ~ 500x
# on my machine, so I'm just putting a conservative speedup assertion of at
# least 20x test in here for good measure. NOTE: this test might actually
# fail if we write a much faster file reader, such that caching it is not
# longer as much of a performance boost as it was before, but that' a nice
# bug to have. Also, for test this small, pyarbus.data.log.level
# actually makes a big difference in the speedup, since printing to stderr
# and capturing that output has overhead for nose.
assert (speedup > 20.)
# remove it from the cache
del (pyarbus.data._cache[short_test_file])
def test_cached_read():
"Read a file (and cache it)"
import time
#del(pyarbus.data._cache[short_test_file])
tic = time.time()
el = pyarbus.read_eyelink_cached(short_test_file)
toc = time.time()
total_time = toc - tic
# Here, we add a dummy attribute to the object - it should still be there
# after we re-read short_test_file from cache, since we're not modifying
# the object that's stored in the cache.
el.__extra_dummy = 10
tic = time.time()
el = pyarbus.read_eyelink_cached(short_test_file)
# windows time.time is only ms resolution:
# http://mail.python.org/pipermail/python-list/2007-January/1121263.html
toc = time.time() + 0.001
cached_time = toc-tic
speedup = total_time / cached_time
el.__extra_dummy # should *not* raise an attribute error
print("speedup = %.3fx" % speedup)
# the speedup in general depends on the file size, disk speed, and how fast
# we read it, etc, but for the file on this test, I see speedups of ~ 500x
# on my machine, so I'm just putting a conservative speedup assertion of at
# least 20x test in here for good measure. NOTE: this test might actually
# fail if we write a much faster file reader, such that caching it is not
# longer as much of a performance boost as it was before, but that' a nice
# bug to have. Also, for test this small, pyarbus.data.log.level
# actually makes a big difference in the speedup, since printing to stderr
# and capturing that output has overhead for nose.
assert(speedup > 20.)
# remove it from the cache
del(pyarbus.data._cache[short_test_file])
def test_eyelink_to_plot_xyp():
"Give useful feedback on common error for plot_xyp(el)"
el = pyarbus.read_eyelink_cached(test_file)
npt.assert_raises(ValueError, viz.plot_xyp, el)
def test_saccade_hist():
"Plotting of saccade histogram (polar coordinates)"
el = pyarbus.read_eyelink_cached(test_file)
viz.plot_saccade_hist(el.r.saccades)
plt.show()
def test_saccade_scatter():
"Plotting of saccade scatter plot (polar coordinates)"
el = pyarbus.read_eyelink_cached(test_file)
viz.plot_saccade_scatter(el.r.saccades)
plt.show()
def test_eyelink_to_plot_xyp():
"Give useful feedback on common error for plot_xyp(el)"
el = pyarbus.read_eyelink_cached(test_file)
npt.assert_raises(ValueError, viz.plot_xyp, el)
def test_saccade_hist():
"Plotting of saccade histogram (polar coordinates)"
el = pyarbus.read_eyelink_cached(test_file)
viz.plot_saccade_hist(el.r.saccades)
plt.show()
def test_saccade_scatter():
"Plotting of saccade scatter plot (polar coordinates)"
el = pyarbus.read_eyelink_cached(test_file)
viz.plot_saccade_scatter(el.r.saccades)
plt.show()
