def test_CategoricalSummary__make_input_file_IO(cat_sum,
expected_latext_content):
with StringIO() as inputIO:
cat_sum._make_input_file_IO(inputIO)
input_string = inputIO.getvalue()
helpers.assert_bigstring_equal(input_string, expected_latext_content)
def test_CategoricalSummary__make_report_IO(cat_sum, expected_latex_report,
temp_template):
with StringIO() as report, open(temp_template, 'r') as template:
cat_sum._make_report_IO(template, 'testpath.tex', report,
'test report title')
helpers.assert_bigstring_equal(report.getvalue(),
expected_latex_report)
def test_DatasetSummary__make_tex_table(dset_sum):
if dset_sum.ds.scenario == (True, True):
expected = r"""
\begin{table}[h!]
\caption{test title}
\centering
\begin{tabular}{l l l l l}
\toprule
\textbf{Statistic} & \textbf{Inlet} & \textbf{Outlet} \\
\toprule
Count & 25 & 25 \\
\midrule
Number of NDs & 5 & 5 \\
\midrule
Min; Max & 0.123; 123 & 0.123; 123 \\
\midrule
Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Standard Deviation & 4.56 & 4.56 \\
\midrule
Log. Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Log. Standard Deviation & 4.56 & 4.56 \\
\midrule
Geo. Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Coeff. of Variation & 5.61 & 5.61 \\
\midrule
Skewness & 6.12 & 6.12 \\
\midrule
Median & 1.23 & 1.23 \\
%%
(95\% confidence interval) & (0.235; 2.23) & (0.235; 2.23) \\
\midrule
Quartiles & 0.612; 2.35 & 0.612; 2.35 \\
\toprule
Number of Pairs & \multicolumn{2}{c} {22} \\
\midrule
Wilcoxon p-value & \multicolumn{2}{c} {$<0.001$} \\
\midrule
Mann-Whitney p-value & \multicolumn{2}{c} {0.456} \\
\bottomrule
\end{tabular}
\end{table}""" + '\n'
result = dset_sum._make_tex_table('test title')
helpers.assert_bigstring_equal(result, expected)
else:
pass
def test_DatasetSummary__make_tex_table(dset_sum):
if dset_sum.ds.scenario == (True, True):
expected = r"""
\begin{table}[h!]
\caption{test title}
\centering
\begin{tabular}{l l l l l}
\toprule
\textbf{Statistic} & \textbf{Inlet} & \textbf{Outlet} \\
\toprule
Count & 25 & 25 \\
\midrule
Number of NDs & 5 & 5 \\
\midrule
Min; Max & 0.123; 123 & 0.123; 123 \\
\midrule
Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Standard Deviation & 4.56 & 4.56 \\
\midrule
Log. Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Log. Standard Deviation & 4.56 & 4.56 \\
\midrule
Geo. Mean & 12.3 & 12.3 \\
%%
(95\% confidence interval) & (11.3; 13.3) & (11.3; 13.3) \\
\midrule
Coeff. of Variation & 5.61 & 5.61 \\
\midrule
Skewness & 6.12 & 6.12 \\
\midrule
Median & 1.23 & 1.23 \\
%%
(95\% confidence interval) & (0.235; 2.23) & (0.235; 2.23) \\
\midrule
Quartiles & 0.612; 2.35 & 0.612; 2.35 \\
\toprule
Number of Pairs & \multicolumn{2}{c} {22} \\
\midrule
Wilcoxon p-value & \multicolumn{2}{c} {$<0.001$} \\
\midrule
Mann-Whitney p-value & \multicolumn{2}{c} {0.456} \\
\bottomrule
\end{tabular}
\end{table}""" + '\n'
result = dset_sum._make_tex_table('test title')
helpers.assert_bigstring_equal(result, expected)
else:
pass
def test_makeLongLandscapeTexTable(footnote, long_landscape_tables):
dfdict = {
"W": {"a": 0.84386963791251501, "b": -0.22109837444207142},
"X": {"a": 0.70049867715201963, "b": 1.4764939161054218},
"Y": {"a": -1.3477794473987552, "b": -1.1939220296611821},
}
df = pandas.DataFrame.from_dict(dfdict)
result = utils.makeLongLandscapeTexTable(
df, "test caption", "label", footnotetext=footnote
)
expected = long_landscape_tables[footnote]
helpers.assert_bigstring_equal(result, expected)
def test_CategoricalSummary_makeReport(cat_sum, expected_latex_report, temp_template):
templatepath = get_tex_file('draft_template.tex')
inputpath = get_tex_file('inputs_{}.tex'.format(cat_sum.paramgroup.lower()))
with TemporaryDirectory() as tmpdir:
reportpath = os.path.join(tmpdir, 'report_{}.tex'.format(cat_sum.paramgroup.lower()))
testpath = os.path.join(tmpdir, 'testpath.tex'.format(cat_sum.paramgroup.lower()))
cat_sum.makeReport(
temp_template,
testpath,
reportpath,
'test report title',
regenfigs=False
)
with open(reportpath, 'r') as rp:
helpers.assert_bigstring_equal(rp.read(), expected_latex_report)
def test_CategoricalSummary_makeReport(cat_sum, expected_latex_report,
temp_template):
templatepath = get_tex_file('draft_template.tex')
inputpath = get_tex_file('inputs_{}.tex'.format(
cat_sum.paramgroup.lower()))
with TemporaryDirectory() as tmpdir:
reportpath = os.path.join(
tmpdir, 'report_{}.tex'.format(cat_sum.paramgroup.lower()))
testpath = os.path.join(
tmpdir, 'testpath.tex'.format(cat_sum.paramgroup.lower()))
cat_sum.makeReport(temp_template,
testpath,
reportpath,
'test report title',
regenfigs=False)
with open(reportpath, 'r') as rp:
helpers.assert_bigstring_equal(rp.read(), expected_latex_report)
def test_makeLongLandscapeTexTable(footnote, long_landscape_tables):
dfdict = {
'W': {
'a': 0.84386963791251501,
'b': -0.22109837444207142,
},
'X': {
'a': 0.70049867715201963,
'b': 1.4764939161054218,
},
'Y': {
'a': -1.3477794473987552,
'b': -1.1939220296611821,
},
}
df = pandas.DataFrame.from_dict(dfdict)
result = utils.makeLongLandscapeTexTable(df, 'test caption', 'label',
footnotetext=footnote)
expected = long_landscape_tables[footnote]
helpers.assert_bigstring_equal(result, expected)
def test_makeLongLandscapeTexTable(footnote, long_landscape_tables):
dfdict = {
'W': {
'a': 0.84386963791251501,
'b': -0.22109837444207142,
},
'X': {
'a': 0.70049867715201963,
'b': 1.4764939161054218,
},
'Y': {
'a': -1.3477794473987552,
'b': -1.1939220296611821,
},
}
df = pandas.DataFrame.from_dict(dfdict)
result = utils.makeLongLandscapeTexTable(df,
'test caption',
'label',
footnotetext=footnote)
expected = long_landscape_tables[footnote]
helpers.assert_bigstring_equal(result, expected)
def test_DatasetSummary_makeTexInput(dset_sum, expected_latext_input):
result = dset_sum.makeTexInput('test table title')
helpers.assert_bigstring_equal(result,
expected_latext_input[dset_sum.ds.scenario])
def test_CategoricalSummary__make_report_IO(cat_sum, expected_latex_report, temp_template):
with StringIO() as report, open(temp_template, 'r') as template:
cat_sum._make_report_IO(template, 'testpath.tex', report, 'test report title')
helpers.assert_bigstring_equal(report.getvalue(), expected_latex_report)
def test_CategoricalSummary__make_input_file_IO(cat_sum, expected_latext_content):
with StringIO() as inputIO:
cat_sum._make_input_file_IO(inputIO)
input_string = inputIO.getvalue()
helpers.assert_bigstring_equal(input_string, expected_latext_content)
def test_DatasetSummary_makeTexInput(dset_sum, expected_latext_input):
result = dset_sum.makeTexInput('test table title')
helpers.assert_bigstring_equal(result, expected_latext_input[dset_sum.ds.scenario])