def test_multi_material():
mat1 = Material(nucvec={
120240: 0.3,
300000: 0.2,
10010: 0.1
},
density=2.71)
mat2 = Material(nucvec={60120: 0.2, 280640: 0.5, 10010: 0.12}, density=8.0)
mix = MultiMaterial({mat1: 0.5, mat2: 0.21})
mat3 = mix.mix_by_mass()
mat4 = mix.mix_by_volume()
assert_equal(mat3.density, -1.0)
assert_equal(mat3.comp[10010], 0.16065498683155846)
assert_equal(mat3.comp[60120], 0.0721401580212985)
assert_equal(mat3.comp[120240], 0.352112676056338)
assert_equal(mat3.comp[280640], 0.18035039505324627)
assert_equal(mat3.comp[300000], 0.2347417840375587)
assert_equal(mat4.density, -1.0)
assert_equal(mat4.comp[10010], 0.15541581280722197)
assert_equal(mat4.comp[60120], 0.13501024631333625)
assert_equal(mat4.comp[120240], 0.2232289950576606)
assert_equal(mat4.comp[280640], 0.33752561578334067)
assert_equal(mat4.comp[300000], 0.14881933003844042)
def test_multimaterial_mix_density():
mat1 = Material(nucvec={120240000:0.3, 300000000:0.2, 10010000:0.1}, density=1.0)
mat2 = Material(nucvec={60120000:0.2, 280640000:0.5, 10010000:0.12}, density=2.0)
# mixing by hand to get density 1.5 when 50:50 by volume of density 1 & 2
mix = MultiMaterial({mat1:0.5, mat2:0.5})
mat3 = mix.mix_by_volume()
# calculated mass fracs by hand, same problem as above stated in mass fraction terms
# rather than volume fraction terms.
mix = MultiMaterial({mat1:1/3., mat2:2/3.})
mat4 = mix.mix_by_mass()
assert_equal(mat3.density, 1.5)
assert_equal(mat4.density, 1.5)
assert_equal(mat3.density, mat4.density)
def test_multimaterial_mix_composition():
mat1 = Material(nucvec={120240000:0.3, 300000000:0.2, 10010000:0.1}, density=2.71)
mat2 = Material(nucvec={60120000:0.2, 280640000:0.5, 10010000:0.12}, density=8.0)
mix = MultiMaterial({mat1:0.5, mat2:0.21})
mat3 = mix.mix_by_mass()
mat4 = mix.mix_by_volume()
assert_equal(mat3.comp[10010000], 0.16065498683155846)
assert_equal(mat3.comp[60120000], 0.0721401580212985)
assert_equal(mat3.comp[120240000], 0.352112676056338)
assert_equal(mat3.comp[280640000], 0.18035039505324627)
assert_equal(mat3.comp[300000000], 0.2347417840375587)
assert_equal(mat4.comp[10010000], 0.15541581280722197)
assert_equal(mat4.comp[60120000], 0.13501024631333625)
assert_equal(mat4.comp[120240000], 0.2232289950576606)
assert_equal(mat4.comp[280640000], 0.33752561578334067)
assert_equal(mat4.comp[300000000], 0.14881933003844042)
def test_multimaterial_mix_density():
mat1 = Material(nucvec={
120240000: 0.3,
300000000: 0.2,
10010000: 0.1
},
density=1.0)
mat2 = Material(nucvec={
60120000: 0.2,
280640000: 0.5,
10010000: 0.12
},
density=2.0)
# mixing by hand to get density 1.5 when 50:50 by volume of density 1 & 2
mix = MultiMaterial({mat1: 0.5, mat2: 0.5})
mat3 = mix.mix_by_volume()
# calculated mass fracs by hand, same problem as above stated in mass fraction terms
# rather than volume fraction terms.
mix = MultiMaterial({mat1: 1 / 3., mat2: 2 / 3.})
mat4 = mix.mix_by_mass()
assert_equal(mat3.density, 1.5)
assert_equal(mat4.density, 1.5)
assert_equal(mat3.density, mat4.density)
#m1.density = 1.037
#matlib["mat:m1/rho:1.0E+00"] = m1
#print m1
he = Material({'He': 1.0})
he = he.expand_elements()
he.name = "he"
he.density = 0.000166
matlib["he"] = he
matlib["m3"] = he
print he
#m4 = Material({'He': 1.0})
#m4 = m4.expand_elements()
#m4.name = "mat:m4/rho:1.7E-4"
#m4.density = 0.000166
#matlib["m4"] = m4
#print m4
#steel_he = MultiMaterial({he:0.75, ss316:0.25}).mix_by_mass()
#steel_he.name = "steel_he"
#matlib["steel_he"] = steel_he
m4 = MultiMaterial({he:0.75, ss316:0.25}).mix_by_volume()
m4.name = "m4"
matlib["m4"] = m4
print m4
matlib.write_hdf5("basic_mat_lib_3.h5")
def test_read_mcnp():
expected_material = Material(nucvec={
922350000: 0.04,
922380000: 0.96
},
mass=-1.0,
density=19.1,
metadata={
"comments":
(" first line of comments second line of "
"comments third line of comments forth "
"line of comments"),
"mat_number":
"1",
"name":
" leu",
"source":
" Some http://URL.com",
"table_ids": {
'922350': "15c"
}
})
expected_material.mass = -1.0 # to avoid reassignment to +1.0
expected_material_default_lib = Material(
{
10000000: 0.037298334378933776,
60000000: 0.6666767493126631,
80000000: 0.29602491630840305
}, 54.04749412269001, 1.1, 6.0, {
"mat_number": "3",
"HLIB": "42h",
"NLIB": "60c",
"PLIB": "01p",
"table_ids": {}
})
expected_multimaterial = MultiMaterial({
Material({
10000000: 0.1118983878322976,
80000000: 0.8881016121677024
}, -1.0, 0.9, 3, {
"comments": (" Here are comments the comments "
"continue here are more even more"),
"mat_number":
"2",
"name":
" water",
"source":
" internet",
"table_ids": {
'10000': "05c"
}
}):
1,
Material({
10000000: 0.1118983878322976,
80000000: 0.8881016121677024
}, -1.0, 1.0021552889251644, 3, {
"comments": (" Here are comments the comments "
"continue here are more even more"),
"mat_number":
"2",
"name":
" water",
"source":
" internet",
"table_ids": {
'10000': "05c"
}
}):
1,
Material({
10000000: 0.1118983878322976,
80000000: 0.8881016121677024
}, -1.0, 1.1, 3, {
"comments": (" Here are comments the comments "
"continue here are more even more"),
"mat_number":
"2",
"name":
" water",
"source":
" internet",
"table_ids": {
'10000': "05c"
}
}):
1
})
read_materials = mats_from_inp('mcnp_inp.txt')
assert_almost_equal(expected_material, read_materials[1])
assert_equal(expected_material_default_lib, read_materials[3])
assert_equal(
list(expected_multimaterial._mats.keys())[0].comp.keys(),
list(read_materials[2]._mats.keys())[0].comp.keys())
for i in range(2):
assert_almost_equal(
list(list(
expected_multimaterial._mats.keys())[0].comp.values())[i],
list(list(read_materials[2]._mats.keys())[0].comp.values())[i])
assert_almost_equal(
list(expected_multimaterial._mats.keys())[0].mass,
list(read_materials[2]._mats.keys())[0].mass)
assert_almost_equal(
list(expected_multimaterial._mats.keys())[0].density,
list(read_materials[2]._mats.keys())[0].density)
assert_equal(
list(expected_multimaterial._mats.keys())[0].atoms_per_molecule,
list(read_materials[2]._mats.keys())[0].atoms_per_molecule)
assert_equal(
list(expected_multimaterial._mats.keys())[0].metadata,
list(read_materials[2]._mats.keys())[0].metadata)
assert_equal(
list(expected_multimaterial._mats.keys())[1].comp.keys(),
list(read_materials[2]._mats.keys())[1].comp.keys())
for i in range(2):
assert_almost_equal(
list(list(
expected_multimaterial._mats.keys())[1].comp.values())[i],
list(list(read_materials[2]._mats.keys())[1].comp.values())[i])
assert_equal(
list(expected_multimaterial._mats.keys())[1].mass,
list(read_materials[2]._mats.keys())[1].mass)
assert_almost_equal(
list(expected_multimaterial._mats.keys())[1].density,
list(read_materials[2]._mats.keys())[1].density)
assert_equal(
list(expected_multimaterial._mats.keys())[1].atoms_per_molecule,
list(read_materials[2]._mats.keys())[1].atoms_per_molecule)
assert_equal(
list(expected_multimaterial._mats.keys())[1].metadata,
list(read_materials[2]._mats.keys())[1].metadata)
assert_almost_equal(
list(expected_multimaterial._mats.keys())[2].density,
list(read_materials[2]._mats.keys())[2].density)
def test_read_mcnp():
expected_material = Material(nucvec={
922350000: 0.04,
922380000: 0.96
},
mass=-1.0,
density=19.1,
metadata={
"comments":
(" first line of comments second line of "
"comments third line of comments forth "
"line of comments"),
"mat_number":
"1",
"name":
" leu",
"source":
" Some http://URL.com",
"table_ids": {
'922350': "15c"
}
})
expected_material.mass = -1.0 # to avoid reassignment to +1.0
expected_multimaterial = MultiMaterial({
Material({
10000000: 0.11189838783149784,
80000000: 0.8881016121685023
}, -1.0, 0.9, 3, {
"comments": (" Here are comments the comments "
"continue here are more even more"),
"mat_number":
"2",
"name":
" water",
"source":
" internet",
"table_ids": {
'10000': "05c"
}
}):
1,
Material({
10000000: 0.11189838783149784,
80000000: 0.8881016121685023
}, -1.0, 1.0021552889223864, 3, {
"comments": (" Here are comments the comments "
"continue here are more even more"),
"mat_number":
"2",
"name":
" water",
"source":
" internet",
"table_ids": {
'10000': "05c"
}
}):
1
})
read_materials = read_mcnp_inp('mcnp_inp.txt')
assert_equal(expected_material, read_materials[0])
assert_equal(
list(expected_multimaterial._mats.keys())[0].comp,
list(read_materials[1]._mats.keys())[0].comp)
assert_equal(
list(expected_multimaterial._mats.keys())[0].mass,
list(read_materials[1]._mats.keys())[0].mass)
assert_equal(
list(expected_multimaterial._mats.keys())[0].density,
list(read_materials[1]._mats.keys())[0].density)
assert_equal(
list(expected_multimaterial._mats.keys())[0].atoms_per_molecule,
list(read_materials[1]._mats.keys())[0].atoms_per_molecule)
assert_equal(
list(expected_multimaterial._mats.keys())[0].metadata,
list(read_materials[1]._mats.keys())[0].metadata)
assert_equal(
list(expected_multimaterial._mats.keys())[1].comp,
list(read_materials[1]._mats.keys())[1].comp)
assert_equal(
list(expected_multimaterial._mats.keys())[1].mass,
list(read_materials[1]._mats.keys())[1].mass)
assert_equal(
list(expected_multimaterial._mats.keys())[1].density,
list(read_materials[1]._mats.keys())[1].density)
assert_equal(
list(expected_multimaterial._mats.keys())[1].atoms_per_molecule,
list(read_materials[1]._mats.keys())[1].atoms_per_molecule)
assert_equal(
list(expected_multimaterial._mats.keys())[1].metadata,
list(read_materials[1]._mats.keys())[1].metadata)
