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91 lines
3.3 KiB
Python
91 lines
3.3 KiB
Python
# -*- coding: utf-8 -*-
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import os.path
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from datetime import date
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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_MPR_read_dates():
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mpr1 = MPRfile(os.path.join(testdata_dir, 'bio-logic1.mpr'))
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eq_(mpr1.startdate, date(2011, 10, 29))
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eq_(mpr1.enddate, date(2011, 10, 31))
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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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