def test_apply_LaminateModels_cols_dimensions1():
'''Test actual against expected DataFrames in .cvs files found in
tests/controls_LT; IDs and dimensional columns.
'''
# Prepare file path.
# Depends which directory nosetests is rum
#path = os.getcwd() # use for the test in the correct path
##path = os.path.join(os.getcwd(), 'lamana', 'tests', 'controls_LT') # for builds
sourcepath = os.path.abspath(os.path.dirname(la.__file__))
path = os.path.join(sourcepath, 'tests', 'controls_LT')
#path = path + r'\lamana\tests\controls_LT' # for Main Script. Comment out in tests
#path = path + r'\tests\controls_LT' # for test
#path = os.path.join(os.getcwd(), 'tests', 'controls_LT') # for test
#path = path + r'\controls_LT' # for test
logging.debug('Default path: {}'.format(path))
# Read all files in the path (REF 013)
for file, filepath in ut.read_csv_dir(path):
#df_expected = file
df = file
#print(df_expected)
df_expected, geometry, nplies, p, t_total = extract_dataframe(df)
# Build actual Case using distributions API
dft.load_params['p'] = p
case = la.distributions.Case(dft.load_params, dft.mat_props)
case.apply([geometry])
df = case.frames[0]
# Compare the dimensional columns only
'''Bypassing z(m), z(m)*, intf and k for now'''
# UPDATE: `k` added back in 0.4.4b
###
cols = ['layer', 'side', 'type', 'matl',
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'k', 'Z(m)', 'z(m)']
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'k', 'Z(m)', ]
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'Z(m)', ] # removed; k redefined in 0.4.3c4d
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf']
'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'k']
print('A .csv file is being processed with the following dimensional properties:')
print(' Number of plies: {} \n p: {} \n total \
t (m): {} \n geometry: {} \n'.format(nplies, p, t_total, geometry))
actual = df[cols]
expected = df_expected[cols]
#print ('expected (file) \n', expected)
#print('actual (API) \n', actual)
#print(expected.dtypes)
#print(actual.dtypes)
print('\n')
ut.assertFrameEqual(actual, expected)
def test_apply_LaminateModels_cols_models1():
'''Test .cvs files found in tests/controls_LT with API DataFrames.
Comparing models columns only.
Due to a different algorithms for calculating internal values,
rows yielding maximum and minimum stress are the most reliable comparisons.
Tests for internal points can varying depending on choice of z(m).
So they will be excluded from this test.
'''
'''Wait for skipcols kwarg in read_csv in pandas 0.17'''
def remove_units(cols):
'''Return a dict of stress column labels with units removed.'''
#cols = cols.tolist()
dict_ = {}
for idx, colname in enumerate(cols):
if 'stress' in colname:
tokens = colname.split(' ') # works even w/o units
unitless_name = tokens[0]
#print(name)
dict_[colname] = unitless_name
return dict_
# Prepare file path.
# Depends which directory nosetests is rum
#path = os.getcwd() # use for the test in the correct path
##path = os.path.join(os.getcwd(), 'lamana', 'tests', 'controls_LT') # for builds
sourcepath = os.path.abspath(os.path.dirname(la.__file__))
path = os.path.join(sourcepath, 'tests', 'controls_LT')
#path = path + r'\lamana\tests\controls_LT' # for Main Script. Comment out in tests
#path = path + r'\tests\controls_LT' # for test
#path = os.path.join(os.getcwd(), 'tests', 'controls_LT') # for test
#path = path + r'\controls_LT' # for test
logging.debug('Default path: {}'.format(path))
# Read all files in the path (REF 013)
for file, filepath in ut.read_csv_dir(path):
#df_expected = file
df = file
#print(df_expected)
df_expected, geometry, nplies, p, t_total = extract_dataframe(df)
# Build actual Case using distributions API
dft.load_params['p'] = p
case = la.distributions.Case(dft.load_params, dft.mat_props)
case.apply([geometry])
df = case.frames[0]
# Compare only model-related columns; skip API columns
IDs = ['layer', 'side', 'type', 'matl', 't(um)'] # except label_
Dimensionals = ['h(m)', 'd(m)', 'intf', 'k', 'Z(m)', 'z(m)', 'z(m)*']
#bypassed = ['z(m)', 'z(m)*', 'intf', 'k']
skippedcols = IDs + Dimensionals
actual_remainingcols = df.columns.difference(skippedcols)
expected_remainingcols = df_expected.columns.difference(skippedcols)
# Get model columns only and strip units from stress columns
df_models = df[actual_remainingcols].copy()
df_expected = df_expected[expected_remainingcols].copy()
df_models.rename(columns=remove_units(actual_remainingcols), inplace=True)
df_expected.rename(columns=remove_units(expected_remainingcols), inplace=True)
#print(df_expected)
print('A .csv file is being processed with the following dimensional properties:')
print(' Number of plies: {} \n p: {} \n total \
t (m): {} \n geometry: {} \n'.format(nplies, p, t_total, geometry))
# Use all rows (including internals, optional)
#actual = df_models
#expected = df_expected[expected_remainingcols]
# Only use max stress rows (interfacial)
actual1 = df_models.loc[df_models['label'] == 'interface']
expected1 = df_expected.loc[df_expected['label'] == 'interface']
#expected1 = df_expected[expected_remainingcols].loc[df_expected['label'] == 'interface']
# Only use min stress rows (discontunities)
if p > 1:
actual2 = df_models.loc[df_models['label'] == 'discont.']
expected2 = df_expected.loc[df_expected['label'] == 'discont.']
#expected2 = df_expected[expected_remainingcols].loc[df_expected['label'] == 'discont.']
#print ('expected (file) \n', expected1)
#print('actual (API) \n', actual1)
#print ('expected (file) \n', expected2)
#print('actual (API) \n', actual2)
#print(type(expected1))
#print(type(actual1))
#print(expected1.dtypes)
#print(actual1.dtypes)
print('\n')
ut.assertFrameEqual(actual1, expected1, check_dtype=False) # max stress rows
if p > 1: # min stress rows
ut.assertFrameEqual(actual2, expected2, check_dtype=False)
def test_apply_LaminateModels_cols_dimensions1():
"""Test actual against expected DataFrames in .cvs files found in
tests/controls_LT; IDs and dimensional columns.
"""
# Prepare file path.
# Depends which directory nosetests is rum
# path = os.getcwd() # use for the test in the correct path
path = os.path.join(os.getcwd(), "lamana", "tests", "controls_LT") # for builds
# path = path + r'\lamana\tests\controls_LT' # for Main Script. Comment out in tests
# path = path + r'\tests\controls_LT' # for test
# path = os.path.join(os.getcwd(), 'tests', 'controls_LT') # for test
# path = path + r'\controls_LT' # for test
# Read all files in the path (REF 013)
for file in ut.read_csv_dir(path):
# df_expected = file
df = file
# print(df_expected)
df_expected, geometry, nplies, p, t_total = extract_dataframe(df)
# Build actual Case using distributions API
dft.load_params["p"] = p
case = la.distributions.Case(dft.load_params, dft.mat_props)
case.apply([geometry])
df = case.frames[0]
# Compare the dimensional columns only
"""Bypassing z(m), z(m)*, intf and k for now"""
"""UPDATE: k add back in 0.4.4b"""
###
cols = [
"layer",
"side",
"type",
"matl",
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'k', 'Z(m)', 'z(m)']
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'k', 'Z(m)', ]
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf', 'Z(m)', ] # removed; k redefined in 0.4.3c4d
# 'label', 't(um)', 'h(m)', 'd(m)', 'intf']
"label",
"t(um)",
"h(m)",
"d(m)",
"intf",
"k",
]
print("A .csv file is being processed with the following dimensional properties:")
print(
" Number of plies: {} \n p: {} \n total \
t (m): {} \n geometry: {} \n".format(
nplies, p, t_total, geometry
)
)
actual = df[cols]
expected = df_expected[cols]
# print ('expected (file) \n', expected)
# print('actual (API) \n', actual)
# print(expected.dtypes)
# print(actual.dtypes)
print("\n")
ut.assertFrameEqual(actual, expected)