本文整理汇总了Python中pyne.mesh.Mesh.q_bias方法的典型用法代码示例。如果您正苦于以下问题：Python Mesh.q_bias方法的具体用法？Python Mesh.q_bias怎么用？Python Mesh.q_bias使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类pyne.mesh.Mesh的用法示例。
在下文中一共展示了Mesh.q_bias方法的2个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: test_cadis_multiple_e
# 需要导入模块: from pyne.mesh import Mesh [as 别名]
# 或者: from pyne.mesh.Mesh import q_bias [as 别名]
def test_cadis_multiple_e():
"""Test multiple energy group CADIS case"""
adj_flux_tag = "adj_flux"
q_tag = "q"
ww_tag = "ww"
q_bias_tag= "q_bias"
#create meshes
coords = [[0, 1, 2], [-1, 3, 4], [10, 12]]
adj_flux_mesh = Mesh(structured=True, structured_coords=coords)
q_mesh = Mesh(structured=True, structured_coords=coords)
ww_mesh = Mesh(structured=True, structured_coords=coords)
q_bias_mesh = Mesh(structured=True, structured_coords=coords)
#add tags to input meshes
adj_flux_mesh.adj_flux = IMeshTag(2, float)
q_mesh.q = IMeshTag(2, float)
#create data for input meshes
adj_flux_data = [[1.1, 1.2], [1.3, 1.4], [0.0, 1.6], [1.7, 1.9]]
q_data = [[2.9, 2.8], [2.6, 2.5], [2.4, 2.2], [2.9, 0.0]]
#data data to mesh
adj_flux_mesh.adj_flux[:] = adj_flux_data
q_mesh.q[:] = q_data
#run cadis
cadis(adj_flux_mesh, adj_flux_tag, q_mesh, q_tag,
ww_mesh, ww_tag, q_bias_mesh, q_bias_tag, beta=5)
#expected results
expected_q_bias = [[0.0306200806, 0.0322518718], [0.0324438472, 0.0335956998],
[0.0, 0.0337876752], [0.0473219428, 0.0]]
expected_ww = [[0.3208302538, 0.2940943993], [0.2714717532, 0.2520809137],
[0.0, 0.2205707995], [0.2075960465, 0.1857438311]]
ww_mesh.ww = IMeshTag(2, float)
q_bias_mesh.q_bias = IMeshTag(2, float)
assert_array_almost_equal(ww_mesh.ww[:], expected_ww[:])
assert_array_almost_equal(q_bias_mesh.q_bias[:], expected_q_bias[:])示例2: test_cadis_single_e
# 需要导入模块: from pyne.mesh import Mesh [as 别名]
# 或者: from pyne.mesh.Mesh import q_bias [as 别名]
def test_cadis_single_e():
"""Test single energy group cadis case"""
adj_flux_tag = "adj_flux"
q_tag = "q"
ww_tag = "ww"
q_bias_tag= "q_bias"
#create meshes
coords = [[0, 1, 2], [-1, 3, 4], [10, 12]]
adj_flux_mesh = Mesh(structured=True, structured_coords=coords)
q_mesh = Mesh(structured=True, structured_coords=coords)
ww_mesh = Mesh(structured=True, structured_coords=coords)
q_bias_mesh = Mesh(structured=True, structured_coords=coords)
#add tags to meshes
adj_flux_mesh.adj_flux = IMeshTag(1, float)
q_mesh.q = IMeshTag(1, float)
#create data for input meshes
adj_flux_data = [1.1, 1.3, 1.5, 1.7]
q_data = [2.9, 2.6, 2.4, 2.2]
#data data to mesh
adj_flux_mesh.adj_flux[:] = adj_flux_data
q_mesh.q[:] = q_data
#run CADIS
cadis(adj_flux_mesh, adj_flux_tag, q_mesh, q_tag,
ww_mesh, ww_tag, q_bias_mesh, q_bias_tag, beta=5)
#checkout output meshes
expected_ww = [0.3995338, 0.33806706, 0.29299145, 0.258521908]
expected_q_bias = [0.04652859, 0.04929988, 0.052508751, 0.0545507858]
ww_mesh.ww = IMeshTag(1, float)
q_bias_mesh.q_bias = IMeshTag(1, float)
assert_array_almost_equal(ww_mesh.ww[:], expected_ww[:])
assert_array_almost_equal(q_bias_mesh.q_bias[:], expected_q_bias[:])