def test_getmultigeo1():
'''Check strings are extracted from a "multi" laminate Frame, nplies >= 5.'''
case = ut.laminator(['400-200-800'])
for case_ in case.values():
for LM in case_.LMs:
actual = ut.get_multi_geometry(LM.LMFrame)
#expected = '400-[200]-800' # pre to_gen_convention()
expected = '400.0-[200.0]-800.0'
nt.assert_equal(actual, expected)
def extract_dataframe(df):
"""Parse corrected DataFrame from a csv file; legacy, automated or custom."""
df_expected = df.copy()
# Mild cleanup
if "d(mm)" in df_expected.columns:
df_expected["d(m)"] = df_expected["d(mm)"] / 1000.0
del df_expected["d(mm)"]
if "t(um)" not in df_expected.columns: # for custom controls from legacy scripts
df_expected["t(um)"] = df_expected["h(m)"] / 1e-6
# Assign Nan to layer thickness of the discontinuity row
df_expected.loc[df_expected["label"] == "discont.", "t(um)"] = np.nan
# Twice the h in the middle
df_expected.loc[df_expected["type"] == "middle", "t(um)"] = (
df_expected.loc[df_expected["type"] == "middle", "h(m)"].multiply(2) / 1e-6
)
# Parse data mainly for the Case
nplies = len(df_expected["layer"].unique())
p = df_expected.groupby("layer").size().iloc[0]
t_total = df_expected.iloc[-1]["d(m)"] # (in m)
# Get a geometry string to feed the API
if nplies < 5:
geometry = ut.get_special_geometry(df_expected)
elif nplies >= 5:
geometry = ut.get_multi_geometry(df_expected)
elif nplies < 1:
raise Exception("Number of plies < 1. No plies detected.")
# print(geometry)
# Plugin holes; overwrite placeholder Nans at discontinuities
# Primarily for custom controls
geo = geometry.split("-")
# print(geo)
outer = float(geo[0])
if "[" in geo[1]:
inners = geo[1][1:-1].split(",")
"""Why is float needed here and not int?"""
"""Getting 200L error for float."""
# print(inners)
inner_i = [float(t) for t in inners]
else:
inner_i = float(geo[1])
# print(inner_i)
df_expected.loc[(df_expected["label"] == "discont.") & (df_expected["type"] == "outer"), "t(um)"] = outer
if ("discont." in df_expected["label"].values) and ("inner" in df_expected["type"].values):
df_expected = fix_discontinuities(df_expected, inner_i)
return df_expected, geometry, nplies, p, t_total
def test_getmultigeo2():
'''Check error is raised if not "multi", rather a special, nplies < 4.'''
case = ut.laminator(['400-200-0'])
for case_ in case.values():
for LM in case_.LMs:
actual = ut.get_multi_geometry(LM.LMFrame)
def extract_dataframe(df):
'''Parse corrected DataFrame from a csv file; legacy, automated or custom.'''
df_expected = df.copy()
# Mild cleanup
if 'd(mm)' in df_expected.columns:
df_expected['d(m)'] = df_expected['d(mm)'] / 1000.
del df_expected['d(mm)']
if 't(um)' not in df_expected.columns: # for custom controls from legacy scripts
df_expected['t(um)'] = df_expected['h(m)'] / 1e-6
# Assign Nan to layer thickness of the discontinuity row
df_expected.loc[
df_expected['label'] == 'discont.', 't(um)'
] = np.nan
# Twice the h in the middle
df_expected.loc[
df_expected['type'] == 'middle', 't(um)'] = df_expected.loc[
df_expected['type'] == 'middle', 'h(m)'
].multiply(2) / 1e-6
# Parse data mainly for the Case
nplies = len(df_expected['layer'].unique())
p = df_expected.groupby('layer').size().iloc[0]
t_total = df_expected.iloc[-1]['d(m)'] # (in m)
# Get a geometry string to feed the API
if nplies < 5:
geometry = ut.get_special_geometry(df_expected)
elif nplies >= 5:
geometry = ut.get_multi_geometry(df_expected)
elif nplies < 1:
raise Exception('Number of plies < 1. No plies detected.')
#print(geometry)
# Plugin holes; overwrite placeholder Nans at discontinuities
# Primarily for custom controls
geo = geometry.split('-')
#print(geo)
#### Look closely at affects of this commit 6f5f518fa42099fcbda37c1a15986a88a04e38c5
#### Check that files are not influenced; reverting should be commenting _to_gen_convention get_..._geometry
# TODO: Refactor; this section is not needed with _to_gen_convention in get_multi_geometry and get_special_geometry
outer = float(geo[0])
if '[' in geo[1]:
inners = geo[1][1:-1].split(',')
'''Why is float needed here and not int?'''
'''Getting 200L error for float.'''
#print(inners)
inner_i = [float(t) for t in inners]
else:
inner_i = float(geo[1])
#print(inner_i)
####
df_expected.loc[
(df_expected['label'] == 'discont.') & (df_expected['type'] == 'outer'),
't(um)'] = outer
if ('discont.' in df_expected['label'].values) and ('inner' in df_expected['type'].values):
df_expected = fix_discontinuities(df_expected, inner_i)
return df_expected, geometry, nplies, p, t_total