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1f9c9653c5
The class currently just reads the main data section and does not process any of the headers or log information.
88 lines
3.2 KiB
Python
88 lines
3.2 KiB
Python
# -*- coding: utf-8 -*-
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import os.path
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import numpy as np
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from numpy.testing import assert_array_almost_equal, assert_array_equal
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from nose.tools import ok_, eq_, raises
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from ..import MPTfile, MPRfile
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from ..BioLogic import MPTfileCSV # not exported
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testdata_dir = os.path.join(os.path.dirname(__file__), 'testdata')
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def test_open_MPT():
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mpt1, comments = MPTfile(os.path.join(testdata_dir, 'bio-logic1.mpt'))
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eq_(comments, [])
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eq_(mpt1.dtype.names, ("mode", "ox/red", "error", "control changes",
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"Ns changes", "counter inc.", "time/s",
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"control/V/mA", "Ewe/V", "dQ/mA.h", "P/W",
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"I/mA", "(Q-Qo)/mA.h", "x"))
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@raises(ValueError)
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def test_open_MPT_fails_for_bad_file():
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mpt1 = MPTfile(os.path.join(testdata_dir, 'bio-logic1.mpr'))
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def test_open_MPT_csv():
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mpt1, comments = MPTfileCSV(os.path.join(testdata_dir, 'bio-logic1.mpt'))
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eq_(comments, [])
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eq_(mpt1.fieldnames, ["mode", "ox/red", "error", "control changes",
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"Ns changes", "counter inc.", "time/s",
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"control/V/mA", "Ewe/V", "dq/mA.h", "P/W",
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"<I>/mA", "(Q-Qo)/mA.h", "x"])
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@raises(ValueError)
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def test_open_MPT_csv_fails_for_bad_file():
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mpt1 = MPTfileCSV(os.path.join(testdata_dir, 'bio-logic1.mpr'))
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def test_open_MPR():
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mpr1 = MPRfile(os.path.join(testdata_dir, 'bio-logic1.mpr'))
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@raises(ValueError)
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def test_open_MPR_fails_for_bad_file():
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mpr1 = MPRfile(os.path.join(testdata_dir, 'arbin1.res'))
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def test_MPR_matches_MPT():
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mpr1 = MPRfile(os.path.join(testdata_dir, 'bio-logic1.mpr'))
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mpt1, comments = MPTfile(os.path.join(testdata_dir, 'bio-logic1.mpt'))
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assert_array_equal(mpr1.data["flags"] & 0x03, mpt1["mode"])
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assert_array_equal(np.array(mpr1.data["flags"] & 0x04, dtype=np.bool_),
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mpt1["ox/red"])
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assert_array_equal(np.array(mpr1.data["flags"] & 0x08, dtype=np.bool_),
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mpt1["error"])
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assert_array_equal(np.array(mpr1.data["flags"] & 0x10, dtype=np.bool_),
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mpt1["control changes"])
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assert_array_equal(np.array(mpr1.data["flags"] & 0x20, dtype=np.bool_),
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mpt1["Ns changes"])
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## Nothing uses the 0x40 bit of the flags
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assert_array_equal(np.array(mpr1.data["flags"] & 0x80, dtype=np.bool_),
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mpt1["counter inc."])
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assert_array_almost_equal(mpr1.data["time/s"],
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mpt1["time/s"],
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decimal=5) # 5 digits in CSV
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assert_array_almost_equal(mpr1.data["control/V/mA"],
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mpt1["control/V/mA"],
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decimal=6) # 32 bit float precision
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assert_array_almost_equal(mpr1.data["Ewe/V"],
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mpt1["Ewe/V"],
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decimal=6) # 32 bit float precision
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assert_array_almost_equal(mpr1.data["dQ/mA.h"],
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mpt1["dQ/mA.h"],
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decimal=17) # 64 bit float precision
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assert_array_almost_equal(mpr1.data["P/W"],
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mpt1["P/W"],
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decimal=10) # 32 bit float precision for 1.xxE-5
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