def test_get_random_state(self): # Life, Universe and Everything lue = 42 random_state = np.random.RandomState(lue) assert utils.get_random_state(None) is np.random.mtrand._rand assert np.all(utils.get_random_state(lue).randn(lue) == np.random.RandomState(lue).randn(lue)) assert np.all(utils.get_random_state(np.random.RandomState(lue)).randn(lue) == np.random.RandomState(lue).randn(lue)) with pytest.raises(ValueError): utils.get_random_state('foobar')
def test_get_random_state(self): # Life, Universe and Everything lue = 42 random_state = np.random.RandomState(lue) assert utils.get_random_state(None) is np.random.mtrand._rand assert np.all(utils.get_random_state(lue).randn(lue) == np.random.RandomState(lue).randn(lue)) assert np.all(utils.get_random_state(np.random.RandomState(lue)).randn(lue) == np.random.RandomState(lue).randn(lue)) with pytest.raises(ValueError): utils.get_random_state('foobar')
def __init__(self, dt, N, mean, rms, red_noise=1, random_state=None, tstart=0.0): self.dt = dt if not isinstance(N, (int, np.integer)): raise ValueError("N must be integer!") self.N = N if mean == 0: warnings.warn("Careful! A mean of zero is unphysical!" + \ "This may have unintended consequences!") self.mean = mean self.nphot = self.mean * self.N self.rms = rms self.red_noise = red_noise self.tstart = tstart self.time = dt * np.arange(N) + self.tstart # Initialize a tuple of energy ranges with corresponding light curves self.channels = [] self.random_state = utils.get_random_state(random_state) assert rms <= 1, 'Fractional rms must be less than 1.' assert dt > 0, 'Time resolution must be greater than 0'
def __init__(self, dt=1, N=1024, mean=0, rms=1, red_noise=1, random_state=None, tstart=0.0): self.dt = dt self.N = N self.mean = mean self.rms = rms self.red_noise = red_noise self.tstart = tstart self.time = dt*np.arange(N) + self.tstart # Initialize a tuple of energy ranges with corresponding light curves self.channels = [] self.random_state = utils.get_random_state(random_state) assert rms<=1, 'Fractional rms must be less than 1.' assert dt>0, 'Time resolution must be greater than 0'
def __init__(self, dt=1, N=1024, mean=0, rms=1, red_noise=1, random_state=None, tstart=0.0): self.dt = dt self.N = N self.mean = mean self.rms = rms self.red_noise = red_noise self.tstart = tstart self.time = dt*np.arange(N) + self.tstart # Initialize a tuple of energy ranges with corresponding light curves self.channels = [] self.random_state = utils.get_random_state(random_state) assert rms<=1, 'Fractional rms must be less than 1.' assert dt>0, 'Time resolution must be greater than 0'
def __init__(self, dt=1, N=1024, mean=0, rms=1, red_noise=1, random_state=None): """ Methods to simulate and visualize light curves. Parameters ---------- dt: int, default 1 time resolution of simulated light curve N: int, default 1024 bins count of simulated light curve mean: float, default 0 mean value of the simulated light curve rms: float, default 1 fractional rms of the simulated light curve, actual rms is calculated by mean*rms red_noise: int, default 1 multiple of real length of light curve, by which to simulate, to avoid red noise leakage seed: int, default None seed value for random processes """ self.dt = dt self.N = N self.mean = mean self.rms = rms self.red_noise = red_noise self.time = dt * np.arange(N) # Initialize a tuple of energy ranges with corresponding light curves self.channels = [] self.random_state = utils.get_random_state(random_state) assert rms <= 1, 'Fractional rms must be less than 1.' assert dt > 0, 'Time resolution must be greater than 0'
def __init__(self, dt=1, N=1024, mean=0, rms=1, red_noise=1, random_state=None): """ Methods to simulate and visualize light curves. Parameters ---------- dt : int, default 1 time resolution of simulated light curve N : int, default 1024 bins count of simulated light curve mean : float, default 0 mean value of the simulated light curve rms : float, default 1 fractional rms of the simulated light curve, actual rms is calculated by mean*rms red_noise : int, default 1 multiple of real length of light curve, by which to simulate, to avoid red noise leakage random_state : int, default None seed value for random processes """ self.dt = dt self.N = N self.mean = mean self.rms = rms self.red_noise = red_noise self.time = dt*np.arange(N) # Initialize a tuple of energy ranges with corresponding light curves self.channels = [] self.random_state = utils.get_random_state(random_state) assert rms<=1, 'Fractional rms must be less than 1.' assert dt>0, 'Time resolution must be greater than 0'