def test_ppi_continues(self):
'''Tests that running ppi with initial indices works as expected.'''
data = self.data
s = np.random.get_state()
p = spy.ppi(data, 4)
np.random.set_state(s)
p2 = spy.ppi(data, 2)
p2 = spy.ppi(data, 2, start=p2)
np.all(p == p2)
def test_ppi_continues(self):
'''Tests that running ppi with initial indices works as expected.'''
data = self.data
s = np.random.get_state()
p = spy.ppi(data, 4)
np.random.set_state(s)
p2 = spy.ppi(data, 2)
p2 = spy.ppi(data, 2, start=p2)
assert(np.all(p == p2))
def test_ppi_centered(self):
'''Tests that ppi with mean-subtracted data works as expected.'''
data = self.data
s = np.random.get_state()
p = spy.ppi(data, 4)
np.random.set_state(s)
data_centered = data - spy.calc_stats(data).mean
p2 = spy.ppi(data_centered, 4)
np.all(p == p2)
def test_ppi_centered(self):
'''Tests that ppi with mean-subtracted data works as expected.'''
data = self.data
s = np.random.get_state()
p = spy.ppi(data, 4)
np.random.set_state(s)
data_centered = data - spy.calc_stats(data).mean
p2 = spy.ppi(data_centered, 4)
assert(np.all(p == p2))
def test_ppi_threshold(self):
'''Tests that ppi function runs with threshold arg'''
data = self.data
p = spy.ppi(data, 4, 10)
def test_ppi(self):
'''Tests that ppi function runs'''
data = self.data
p = spy.ppi(data, 4)
def test_ppi_threshold(self):
'''Tests that ppi function runs with threshold arg'''
data = self.data
p = spy.ppi(data, 4, 10)
def test_ppi(self):
'''Tests that ppi function runs'''
data = self.data
p = spy.ppi(data, 4)
def test_ppi(self):
"""Tests that ppi function runs"""
data = self.data
p = spy.ppi(data, 4)