def setup_method(self):
self.l_max = 2**np.random.randint(4, 8)
self.m_max = 0
self.n_lat = 4 * self.l_max
self.n_lon = 1
self.sht = SHT(self.l_max, self.m_max, self.n_lon, self.n_lat)
self.lat_grid = np.linspace(0, np.pi, self.n_lat + 1)
self.lat_grid = 0.5 * (self.lat_grid[1:] + self.lat_grid[:-1])
self.lon_grid = np.linspace(0, 2.0 * np.pi, self.n_lon + 1)[:-1]
def setup_method(self):
self.l_max = np.random.randint(20, 100)
self.m_max = np.random.randint(10, self.l_max)
self.m_max = self.l_max #np.random.randint(10, self.l_max)
self.n_lat = 4 * self.l_max
self.n_lon = 4 * self.l_max
self.sht = SHT(self.l_max, self.m_max, self.n_lon, self.n_lat)
self.lat_grid = np.linspace(0, np.pi, self.n_lat + 1)
self.lat_grid = 0.5 * (self.lat_grid[1:] + self.lat_grid[:-1])
self.lon_grid = np.linspace(0, 2.0 * np.pi, self.n_lon + 1)[:-1]
def setup_method(self):
n_lon = 64
n_lat = 64
self.l_max_l = np.random.randint(10, 20)
self.m_max_l = self.l_max_l #np.random.randint(9, self.l_max_l)
self.sht_l = SHT(self.l_max_l, self.m_max_l, n_lon, n_lat)
self.l_max_l_inc = np.random.randint(5, 10)
self.m_max_l_inc = self.l_max_l_inc #np.random.randint(4, self.l_max_l_inc)
self.sht_l_inc = SHT(self.l_max_l_inc, self.m_max_l_inc, n_lon, n_lat)
self.l_max_r = np.random.randint(20, 24)
self.m_max_r = self.l_max_r #np.random.randint(19, self.l_max_r)
self.sht_r = SHT(self.l_max_r, self.m_max_r, n_lon, n_lat)
self.l_max_r_inc = np.random.randint(10, 20)
self.m_max_r_inc = self.l_max_r_inc #np.random.randint(9, self.l_max_r_inc)
self.sht_r_inc = SHT(self.l_max_r_inc, self.m_max_r_inc, n_lon, n_lat)
self.coeff_vector_l = np.random.rand(
self.sht_l.get_n_spectral_coeffs())
self.coeff_vector_l = self.coeff_vector_l + 1j * np.random.rand(
self.sht_l.get_n_spectral_coeffs())
self.coeff_matrix_l = np.random.rand(
self.sht_l_inc.get_n_spectral_coeffs_cmplx(),
self.sht_l.get_n_spectral_coeffs())
self.coeff_matrix_l = self.coeff_matrix_l + 1j * np.random.rand(
self.sht_l_inc.get_n_spectral_coeffs_cmplx(),
self.sht_l.get_n_spectral_coeffs())
self.coeff_vector_r = np.random.rand(
self.sht_r.get_n_spectral_coeffs())
self.coeff_vector_r = self.coeff_vector_r + 1j * np.random.rand(
self.sht_r.get_n_spectral_coeffs())
self.coeff_matrix_r = np.random.rand(
self.sht_r_inc.get_n_spectral_coeffs_cmplx(),
self.sht_r.get_n_spectral_coeffs())
self.coeff_matrix_r = self.coeff_matrix_r + 1j * np.random.rand(
self.sht_r_inc.get_n_spectral_coeffs_cmplx(),
self.sht_r.get_n_spectral_coeffs())
def setup_method(self):
self.l_max = 0
self.m_max = 0
self.n_lat = 1
self.n_lon = 1
self.sht = SHT(self.l_max, self.m_max, self.n_lon, self.n_lat)