def test_raiseinputerrors():
"""
Confirm that ValueErrors from dumb user input are raised
"""
# Load data
data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
data2 = copy.copy(data)
data2[-1] = np.nan
with pytest.raises(ValueError) as excinfo:
plv(data, data[:-1], (13, 30), (80, 200))
assert 'same length' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data2, (13, 30), (80, 200))
assert 'NaNs' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30, 31), (80, 200))
assert 'two elements' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30), (80, 200, 201))
assert 'two elements' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (-13, 30), (80, 200))
assert 'must be > 0' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30), (-80, 200))
assert 'must be > 0' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
mi_tort(data, data, (13, 30), (80, 200), Nbins=1)
assert 'integer >1' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
mi_tort(data, data, (13, 30), (80, 200), Nbins=8.8)
assert 'integer >1' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
otc(data, (80, 200), -1)
assert 'positive number' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
otc(data, (80, 200), 4, t_modsig=(.5, -.5))
assert 'Invalid time range' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_peaktimes(data, prc=101)
assert '0 and 100' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_chunk_time(data, samp_buffer=-1)
assert 'positive number' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_chunk_time(data, samp_buffer=2.5)
assert 'integer' in str(excinfo.value)
def test_raiseinputerrors():
"""
Confirm that ValueErrors from dumb user input are raised
"""
# Load data
data = np.load(os.path.dirname(pacpy.__file__) + '/tests/exampledata.npy')
data2 = copy.copy(data)
data2[-1] = np.nan
with pytest.raises(ValueError) as excinfo:
plv(data, data[:-1], (13, 30), (80, 200))
assert 'same length' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data2, (13, 30), (80, 200))
assert 'NaNs' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30, 31), (80, 200))
assert 'two elements' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30), (80, 200, 201))
assert 'two elements' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (-13, 30), (80, 200))
assert 'must be > 0' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
plv(data, data, (13, 30), (-80, 200))
assert 'must be > 0' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
mi_tort(data, data, (13, 30), (80, 200), Nbins=1)
assert 'integer >1' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
mi_tort(data, data, (13, 30), (80, 200), Nbins=8.8)
assert 'integer >1' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
otc(data, (80, 200), -1)
assert 'positive number' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
otc(data, (80, 200), 4, t_modsig=(.5, -.5))
assert 'Invalid time range' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_peaktimes(data, prc=101)
assert '0 and 100' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_chunk_time(data, samp_buffer=-1)
assert 'positive number' in str(excinfo.value)
with pytest.raises(ValueError) as excinfo:
_chunk_time(data, samp_buffer=2.5)
assert 'integer' in str(excinfo.value)
def test_chunktime():
"""
Test OTC helper function: _chunk_time
"""
assert np.array_equal(_chunk_time([5, 6, 7, 8, 10, 55, 56], samp_buffer=0),
np.array([[5, 8], [10, 10], [55, 56]]))
assert np.array_equal(_chunk_time([5, 6, 7, 8, 10, 55, 56], samp_buffer=2),
np.array([[5, 10], [55, 56]]))
def test_chunktime():
"""
Test OTC helper function: _chunk_time
"""
assert np.array_equal(_chunk_time(
[5, 6, 7, 8, 10, 55, 56], samp_buffer=0), np.array([[5, 8], [10, 10], [55, 56]]))
assert np.array_equal(_chunk_time(
[5, 6, 7, 8, 10, 55, 56], samp_buffer=2), np.array([[5, 10], [55, 56]]))
