def test_default(master=False, remove=True, show=False):
name = osjoin(MASTER, 'default_master') if master else 'default'
# Make the plot
sub = df[(df.Substrate == 'Si') & (df['Target Wavelength'] == 450) &
(df['Boost Level'] == 0.2) & (df['Temperature [C]'] == 25)]
fcp.plot(df=sub,
x='Voltage',
y='I [A]',
legend='Die',
show=SHOW,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_cat_label(master=False, remove=True, show=False):
name = osjoin(MASTER, 'cat_label_master') if master else 'cat_label'
# Make the plot
fcp.heatmap(df=df,
x='Category',
y='Player',
z='Average',
cbar=True,
data_labels=True,
heatmap_font_color='#aaaaaa',
show=SHOW,
tick_labels_major_y_edge_width=0,
ws_ticks_ax=5,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_marker_type_none(master=False, remove=True, show=False):
name = osjoin(MASTER,
'marker_type_none_master') if master else 'marker_type_none'
# Make the plot
fcp.plot(df=df, x='Voltage', y='I [A]', legend=['Die', 'Substrate'], \
filter='Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
markers=['o', None, '+', '*', 'B', None],
filename=name + '.png', inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_other_conf_int(master=False, remove=True, show=False):
name = osjoin(MASTER,
'other_conf-int_master') if master else 'other_conf-int'
# Make the plot
fcp.plot(
df,
x='Voltage',
y='I [A]',
title='IV Data',
lines=False,
show=SHOW,
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
conf_int=0.95,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_heatmap_zoomed(master=False, remove=True, show=False):
name = osjoin(MASTER,
'heatmap_zoomed_master') if master else 'heatmap_zoomed'
# Make the plot
fcp.heatmap(img,
cmap='inferno',
cbar=True,
ax_size=[600, 600],
xmin=700,
xmax=1100,
ymin=300,
ymax=400,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_secondary_xy_shared_x(master=False, remove=True, show=False):
name = osjoin(
MASTER,
'secondary-xy_shared-x_master') if master else 'secondary-xy_shared-x'
# Make the plot
fcp.plot(
df,
x=['Voltage', 'I [A]'],
y='Voltage',
legend='Die',
twin_y=True,
show=SHOW,
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25 & Die=="(-1,2)"',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_wrap(master=False, remove=True, show=False):
name = osjoin(MASTER,
'grid-plots-wrap_master') if master else 'grid-plots-wrap'
# Make the plot
fcp.plot(df,
x='Voltage',
y='I [A]',
legend='Die',
wrap=['Temperature [C]', 'Boost Level'],
show=SHOW,
ax_size=[225, 225],
filter='Substrate=="Si" & Target Wavelength==450',
label_rc_font_size=13,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_violin_box_off(master=False, remove=True, show=False):
name = osjoin(MASTER,
'violin_box_off_master') if master else 'violin_box_off'
# Make the plot
fcp.boxplot(df=df,
y='Value',
groups=['Batch', 'Sample'],
show=SHOW,
violin=True,
violin_box_on=False,
violin_markers=True,
jitter=False,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_range_lines(master=False, remove=True, show=False):
name = osjoin(MASTER, 'range_lines_master') if master else 'range_lines'
# Make the plot
fcp.boxplot(df=df,
y='Value',
groups=['Batch', 'Sample'],
show=SHOW,
box_range_lines=False,
ax_size=[300, 300],
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_grid_wrap_y_no_share(master=False, remove=True, show=False):
name = osjoin(MASTER,
'grid_y-no-share_master') if master else 'grid_y-no-share'
# Make the plot
df['Value*2'] = 2 * df['Value']
fcp.boxplot(df=df,
y=['Value', 'Value*2'],
groups=['Batch', 'Sample', 'Region'],
wrap='y',
show=SHOW,
ax_size=[300, 300],
share_y=False,
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_mean_diamonds(master=False, remove=True, show=False):
name = osjoin(MASTER,
'mean_diamonds_master') if master else 'mean_diamonds'
# Make the plot
fcp.boxplot(df=df,
y='Value',
groups=['Batch', 'Sample'],
show=SHOW,
mean_diamonds=True,
conf_coeff=0.95,
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_shared_no(master=False, remove=True, show=False):
name = osjoin(MASTER, 'shared_no_master') if master else 'shared_no'
# Make the plot
fcp.plot(df, x='Voltage', y='I [A]', legend='Die', col='Boost Level', row='Temperature [C]', \
ax_size=[225, 225], filter='Substrate=="Si" & Target Wavelength==450', label_rc_font_size=14,
xmin=[0, 0.1, 0.2, 0.3, 0.4], ymax=[1, 2, 3, 4, 5, 6],
filename=name + '.png', inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_shared_cols(master=False, remove=True, show=False):
name = osjoin(MASTER,
'shared_columns_master') if master else 'shared_columns'
# Make the plot
sub = df[(df.Substrate == 'Si') & (df['Target Wavelength'] == 450)].copy()
fcp.plot(df=sub,
x='Voltage',
y='I [A]',
legend='Die',
col='Boost Level',
row='Temperature [C]',
show=SHOW,
ax_size=[225, 225],
share_col=True,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_boxplot_iqr(master=False, remove=True, show=False):
name = osjoin(MASTER, 'boxplot_iqr_master') if master else 'boxplot_iqr'
# Make the plot
fcp.boxplot(df=df_box,
y='Value',
groups=['Batch', 'Sample'],
filter='Batch==101',
show=SHOW,
ymin='1.5*iqr',
ymax='1.5*iqr',
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_xy_categorical(master=False, remove=True, show=False):
name = osjoin(MASTER,
'xy_categorical_master') if master else 'xy_categorical'
# Make the plot
fcp.plot(
df,
x='Die',
y='I [A]',
show=SHOW,
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25 & Voltage==1.5',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_group_single(master=False, remove=True, show=False):
name = osjoin(MASTER, 'group_single_master') if master else 'group_single'
# Make the plot
fcp.boxplot(df=df,
y='Value',
groups='Batch',
show=SHOW,
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_xy_ts(master=False, remove=True, show=False):
name = osjoin(MASTER, 'xy_ts_master') if master else 'xy_ts'
# Make the plot
fcp.plot(ts,
x='Date',
y='Happiness Quotient',
markers=False,
ax_size=[1000, 250],
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_filled(master=False, remove=True, show=False):
name = osjoin(MASTER, 'filled_master') if master else 'filled'
# Make the plot
fcp.contour(df=df, x='X', y='Y', z='Value', row='Batch', col='Experiment', filled=True,
cbar=True, xmin=-3, xmax=3, ymin=-3, ymax=3, ax_size=[250,250], show=SHOW,
label_rc_font_size=12, levels=40,
filename=name + '.png', inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png', osjoin(MASTER, name + '_master.png'), show=True)
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png', osjoin(MASTER, name + '_master.png'), show=True)
else:
compare = utl.img_compare(name + '.png', osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_multiple_xy_both(master=False, remove=True, show=False):
name = osjoin(MASTER,
'multiple-xy_both_master') if master else 'multiple-xy_both'
# Make the plot
fcp.plot(
df,
x=['Boost Level', 'I [A]'],
y=['Voltage', 'Temperature [C]'],
legend='Die',
show=SHOW,
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_legend_multiple_xy(master=False, remove=True, show=False):
name = osjoin(
MASTER,
'legend_multiple_xy_master') if master else 'legend_multiple_xy'
# Make the plot
fcp.plot(
df=df1,
x='Voltage',
y=['I [A]', 'Voltage'],
lines=False,
filter='Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_other_stat_good_mult(master=False, remove=True, show=False):
name = osjoin(MASTER, 'other_stat-lines-good-multipe-y_master'
) if master else 'other_stat-lines-good-multipe-y'
# Make the plot
fcp.plot(
df,
x='Voltage',
y=['Boost Level', 'I [A]'],
show=SHOW,
legend=True,
stat='median',
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_groups_enabled2(master=False, remove=True, show=False):
name = osjoin(MASTER,
'groups_enabled2_master') if master else 'groups_enabled2'
# Make the plot
fcp.plot(
df=df1,
x='Voltage',
y='I [A]',
groups=['Die', 'Temperature [C]'],
filter='Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_heatmap_stretched(master=False, remove=True, show=False):
name = osjoin(
MASTER, 'heatmap_stretched_master') if master else 'heatmap_stretched'
# Make the plot
uu = img.stack().mean()
ss = img.stack().std()
fcp.heatmap(img,
cmap='inferno',
cbar=True,
ax_size=[600, 600],
zmin=uu - 3 * ss,
zmax=uu + 3 * ss,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_groups_boxplot(master=False, remove=True, show=False):
name = osjoin(MASTER,
'groups_boxplot_master') if master else 'groups_boxplot'
# Make the plot
df_box = pd.read_csv(
osjoin(os.path.dirname(fcp.__file__), 'tests', 'fake_data_box.csv'))
fcp.boxplot(df=df_box,
y='Value',
groups=['Batch', 'Sample'],
legend='Region',
filename=name + '.png',
inline=False,
jitter=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_cat_no_label(master=False, remove=True, show=False):
name = osjoin(MASTER, 'cat_no_label_master') if master else 'cat_no_label'
# Make the plot
fcp.heatmap(df=df,
x='Category',
y='Player',
z='Average',
cbar=True,
show=SHOW,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_groups_row_col_x(master=False, remove=True, show=False):
name = osjoin(MASTER,
'groups_row_col_x_master') if master else 'groups_row_col_x'
# Make the plot
fcp.plot(
df=df1,
x=['Voltage', 'I [A]'],
y='Voltage',
legend='Die',
row='Boost Level',
col='x',
ax_size=[225, 225],
filter='Substrate=="Si" & Target Wavelength==450 & Temperature [C]==75',
label_rc_font_size=14,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_hist_color(master=False, remove=True, show=False):
name = osjoin(MASTER, 'hist_color_master') if master else 'hist_color'
# Make the plot
df_hist = pd.read_csv(
osjoin(os.path.dirname(fcp.__file__), 'tests', 'fake_data_box.csv'))
fcp.hist(df=df_hist,
x='Value',
show=SHOW,
legend='Region',
hist_fill_alpha=1,
colors=['#FF0000', '#00FF11'],
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_groups_wrap_xy(master=False, remove=True, show=False):
name = osjoin(MASTER,
'groups_wrap_xy_master') if master else 'groups_wrap_xy'
# Make the plot
fcp.plot(df=df1,
x='Voltage',
y=['I Set', 'I [A]'],
legend='Die',
wrap='y',
groups=['Boost Level', 'Temperature [C]'],
ax_size=[325, 325],
filter='Substrate=="Si" & Target Wavelength==450',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_theme_gray(master=False, remove=True, show=False):
name = osjoin(MASTER, 'theme_gray_master') if master else 'theme_gray'
# Make the plot
fcp.set_theme('gray')
fcp.plot(df=df,
x='Voltage',
y='I [A]',
legend=['Die', 'Substrate'],
filter=
'Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
def test_primary_explicit(master=False, remove=True, show=False):
name = osjoin(MASTER,
'primary_explicit_master') if master else 'primary_explicit'
# Make the plot
fcp.plot(
df=df,
x='Voltage',
y='I [A]',
legend='Die',
show=SHOW,
filter=
'Substrate=="Si" & Target Wavelength==450 & Boost Level==0.2 & Temperature [C]==25',
xmax=1.2,
auto_scale=False,
filename=name + '.png',
inline=False)
# Compare with master
if master:
return
elif show:
os.startfile(osjoin(MASTER, name + '_master.png'))
os.startfile(name + '.png')
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'),
show=True)
else:
compare = utl.img_compare(name + '.png',
osjoin(MASTER, name + '_master.png'))
if remove:
os.remove(name + '.png')
assert not compare
