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Computer Engineering
B-ASIC - Better ASIC Toolbox
Commits
069abe95
Commit
069abe95
authored
2 years ago
by
Petter Källström
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version 0.1 of updated plot window. Still, buggy legend
parent
e817f13a
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Simulation window
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b_asic/GUI/plot_window.py
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069abe95
# TODO's:
# * Solve the legend update. That isn't working at all.
# * Change labels "All" and "None" into buttons.
# * Make it work with the main_window (probably requires a rebase or merge)
import
re
import
sys
from
matplotlib.backends.backend_qt5agg
import
(
FigureCanvasQTAgg
as
FigureCanvas
,
)
from
matplotlib.figure
import
Figure
from
matplotlib.ticker
import
MaxNLocator
from
qtpy.QtCore
import
Qt
from
qtpy.QtGui
import
QKeySequence
# Intereme imports for the Plot class:
from
qtpy.QtWidgets
import
(
# QFrame,; QScrollArea,; QLineEdit,
QApplication
,
QCheckBox
,
QDialog
,
QFileDialog
,
QHBoxLayout
,
QLabel
,
QListWidget
,
QListWidgetItem
,
QPushButton
,
QShortcut
,
QSizePolicy
,
QVBoxLayout
,
)
class
PlotCanvas
(
FigureCanvas
):
def
__init__
(
self
,
logger
,
parent
=
None
,
width
=
5
,
height
=
4
,
dpi
=
100
):
fig
=
Figure
(
figsize
=
(
width
,
height
),
dpi
=
dpi
)
super
().
__init__
(
fig
)
self
.
axes
=
fig
.
add_subplot
(
111
)
self
.
axes
.
xaxis
.
set_major_locator
(
MaxNLocator
(
integer
=
True
))
self
.
legend
=
self
.
axes
.
legend
()
self
.
logger
=
logger
FigureCanvas
.
updateGeometry
(
self
)
self
.
save_figure
=
QShortcut
(
QKeySequence
(
"
Ctrl+S
"
),
self
)
self
.
save_figure
.
activated
.
connect
(
self
.
_save_plot_figure
)
def
_save_plot_figure
(
self
):
self
.
logger
.
info
(
f
"
Saving plot of figure:
{
self
.
sfg
.
name
}
.
"
)
file_choices
=
"
PNG (*.png)|*.png
"
path
,
ext
=
QFileDialog
.
getSaveFileName
(
self
,
"
Save file
"
,
""
,
file_choices
)
path
=
path
.
encode
(
"
utf-8
"
)
if
not
path
[
-
4
:]
==
file_choices
[
-
4
:].
encode
(
"
utf-8
"
):
path
+=
file_choices
[
-
4
:].
encode
(
"
utf-8
"
)
if
path
:
self
.
print_figure
(
path
.
decode
(),
dpi
=
self
.
dpi
)
self
.
logger
.
info
(
f
"
Saved plot:
{
self
.
sfg
.
name
}
to path:
{
path
}
.
"
)
class
PlotWindow
(
QDialog
):
def
__init__
(
self
,
window
,
sfg_name
,
sim_result
,
logger
,
parent
=
None
,
width
=
5
,
height
=
4
,
dpi
=
100
,
):
super
().
__init__
()
self
.
_window
=
window
self
.
setWindowFlags
(
Qt
.
WindowTitleHint
|
Qt
.
WindowCloseButtonHint
)
self
.
setWindowTitle
(
"
Simulation result
"
)
self
.
sim_result
=
sim_result
self
.
_auto_redraw
=
False
# Categorise sim_results into inputs, outputs, delays, others
sim_res_ins
=
{}
sim_res_outs
=
{}
sim_res_delays
=
{}
sim_res_others
=
{}
for
key
in
sim_result
:
if
re
.
fullmatch
(
"
in[0-9]+
"
,
key
):
sim_res_ins
[
key
]
=
sim_result
[
key
]
elif
re
.
fullmatch
(
"
[0-9]+
"
,
key
):
sim_res_outs
[
key
]
=
sim_result
[
key
]
elif
re
.
fullmatch
(
"
t[0-9]+
"
,
key
):
sim_res_delays
[
key
]
=
sim_result
[
key
]
else
:
sim_res_others
[
key
]
=
sim_result
[
key
]
# Layout: ############################################
# | list | |
# | ... | plot |
# | misc | |
self
.
dialog_layout
=
QHBoxLayout
()
self
.
setLayout
(
self
.
dialog_layout
)
listlayout
=
QVBoxLayout
()
self
.
plotcanvas
=
PlotCanvas
(
logger
=
logger
,
parent
=
self
,
width
=
5
,
height
=
4
,
dpi
=
100
)
self
.
dialog_layout
.
addLayout
(
listlayout
)
self
.
dialog_layout
.
addWidget
(
self
.
plotcanvas
)
########### Plot: ##############
# Do this before the list layout, as the list layout will re/set visibility
# Note: The order is of importens. Interesting lines last, to be on top.
self
.
_lines
=
{}
for
key
in
(
sim_res_others
|
sim_res_delays
|
sim_res_ins
|
sim_res_outs
):
line
=
self
.
plotcanvas
.
axes
.
plot
(
sim_result
[
key
],
visible
=
False
,
label
=
key
)
self
.
_lines
[
key
]
=
line
########### List layout: ##############
# Add two labels for selecting all/none:
hlayout
=
QHBoxLayout
()
labelAll
=
QLabel
(
"
All
"
)
labelAll
.
mousePressEvent
=
self
.
labelAll_click
labelNone
=
QLabel
(
"
None
"
)
labelNone
.
mousePressEvent
=
self
.
labelNone_click
hlayout
.
addWidget
(
labelAll
)
hlayout
.
addWidget
(
labelNone
)
listlayout
.
addLayout
(
hlayout
)
# Add the entire list
self
.
checklist
=
QListWidget
()
self
.
checklist
.
itemChanged
.
connect
(
self
.
item_change
)
listitems
=
{}
for
key
in
(
sim_res_ins
|
sim_res_outs
|
sim_res_delays
|
sim_res_others
):
listitem
=
QListWidgetItem
(
key
)
listitems
[
key
]
=
listitem
self
.
checklist
.
addItem
(
listitem
)
listitem
.
setCheckState
(
Qt
.
Unchecked
)
# CheckState: Qt.{Unchecked, PartiallyChecked, Checked}
for
key
in
sim_res_outs
:
listitems
[
key
].
setCheckState
(
Qt
.
Checked
)
# CheckState: Qt.{Unchecked, PartiallyChecked, Checked}
self
.
checklist
.
setFixedWidth
(
150
)
listlayout
.
addWidget
(
self
.
checklist
)
# Add a "legend" checkbox, connected to the plot.
self
.
legend_checkbox
=
QCheckBox
(
"
&Legend
"
)
self
.
legend_checkbox
.
stateChanged
.
connect
(
self
.
legend_checkbox_change
)
self
.
legend_checkbox
.
setCheckState
(
Qt
.
Checked
)
listlayout
.
addWidget
(
self
.
legend_checkbox
)
# Add "Close" buttons
buttonClose
=
QPushButton
(
"
&Close
"
,
self
)
buttonClose
.
clicked
.
connect
(
self
.
close
)
listlayout
.
addWidget
(
buttonClose
)
# Done. Tell the functions below to redraw the canvas when needed.
# self.plotcanvas.draw()
self
.
_auto_redraw
=
True
def
legend_checkbox_change
(
self
,
checkState
):
self
.
plotcanvas
.
legend
.
set
(
visible
=
(
checkState
==
Qt
.
Checked
))
if
self
.
_auto_redraw
:
if
checkState
==
Qt
.
Checked
:
self
.
plotcanvas
.
legend
=
self
.
plotcanvas
.
axes
.
legend
()
self
.
plotcanvas
.
draw
()
# self.plotcanvas.legend
# if checkState == Qt.Checked:
# print('legend on')
# else:
# print('legend off')
def
labelAll_click
(
self
,
event
):
for
x
in
range
(
self
.
checklist
.
count
()):
self
.
checklist
.
item
(
x
).
setCheckState
(
Qt
.
Checked
)
def
labelNone_click
(
self
,
event
):
for
x
in
range
(
self
.
checklist
.
count
()):
self
.
checklist
.
item
(
x
).
setCheckState
(
Qt
.
Unchecked
)
def
item_change
(
self
,
listitem
):
key
=
listitem
.
text
()
self
.
_lines
[
key
][
0
].
set
(
visible
=
(
listitem
.
checkState
()
==
Qt
.
Checked
))
if
self
.
_auto_redraw
:
if
self
.
legend_checkbox
.
checkState
==
Qt
.
Checked
:
self
.
plotcanvas
.
legend
=
self
.
plotcanvas
.
axes
.
legend
()
self
.
plotcanvas
.
draw
()
# print(f"lines[{key}].set(visible={listitem.checkState() == Qt.Checked}). autodraw={self._auto_redraw}")
# print("Arg:", listitem)
# Simple test of the dialog
if
__name__
==
"
__main__
"
:
app
=
QApplication
(
sys
.
argv
)
# sim_res = {"c1": [3, 6, 7], "c2": [4, 5, 5], "bfly1.0": [7, 0, 0], "bfly1.1": [-1, 0, 2], "0": [1, 2, 3]}
sim_res
=
{
'
0
'
:
[
0.5
,
0.5
,
0
,
0
],
'
add1
'
:
[
0.5
,
0.5
,
0
,
0
],
'
cmul1
'
:
[
0
,
0.5
,
0
,
0
],
'
cmul2
'
:
[
0.5
,
0
,
0
,
0
],
'
in1
'
:
[
1
,
0
,
0
,
0
],
'
t1
'
:
[
0
,
1
,
0
,
0
],
}
win
=
PlotWindow
(
window
=
None
,
sim_result
=
sim_res
,
sfg_name
=
"
hej
"
,
logger
=
print
)
win
.
exec_
()
# win.show()
# This is the original, used as a quick reference. Do not instantiate this:
class
Plot
(
FigureCanvas
):
def
__init__
(
self
,
simulation
,
sfg
,
window
,
parent
=
None
,
width
=
5
,
height
=
4
,
dpi
=
100
):
self
.
simulation
=
simulation
self
.
sfg
=
sfg
self
.
dpi
=
dpi
self
.
_window
=
window
fig
=
Figure
(
figsize
=
(
width
,
height
),
dpi
=
dpi
)
fig
.
suptitle
(
sfg
.
name
,
fontsize
=
20
)
self
.
axes
=
fig
.
add_subplot
(
111
)
FigureCanvas
.
__init__
(
self
,
fig
)
self
.
setParent
(
parent
)
FigureCanvas
.
setSizePolicy
(
self
,
QSizePolicy
.
Expanding
,
QSizePolicy
.
Expanding
)
FigureCanvas
.
updateGeometry
(
self
)
self
.
save_figure
=
QShortcut
(
QKeySequence
(
"
Ctrl+S
"
),
self
)
self
.
save_figure
.
activated
.
connect
(
self
.
_save_plot_figure
)
self
.
_plot_values_sfg
()
def
_save_plot_figure
(
self
):
self
.
_window
.
logger
.
info
(
f
"
Saving plot of figure:
{
self
.
sfg
.
name
}
.
"
)
file_choices
=
"
PNG (*.png)|*.png
"
path
,
ext
=
QFileDialog
.
getSaveFileName
(
self
,
"
Save file
"
,
""
,
file_choices
)
path
=
path
.
encode
(
"
utf-8
"
)
if
not
path
[
-
4
:]
==
file_choices
[
-
4
:].
encode
(
"
utf-8
"
):
path
+=
file_choices
[
-
4
:].
encode
(
"
utf-8
"
)
if
path
:
self
.
print_figure
(
path
.
decode
(),
dpi
=
self
.
dpi
)
self
.
_window
.
logger
.
info
(
f
"
Saved plot:
{
self
.
sfg
.
name
}
to path:
{
path
}
.
"
)
def
_plot_values_sfg
(
self
):
x_axis
=
list
(
range
(
len
(
self
.
simulation
.
results
[
"
0
"
])))
for
_output
in
range
(
self
.
sfg
.
output_count
):
y_axis
=
self
.
simulation
.
results
[
str
(
_output
)]
self
.
axes
.
plot
(
x_axis
,
y_axis
)
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