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"""
Interactive console widget support.
Defines NumpyConsole class.
TODO: Fix cut/paste for multiline commands
TODO: Trigger change notification when numpy array has changed
"""
import wx, wx.py
def shapestr(v):
"""Return shape string for numeric variables suitable for printing"""
try:
shape = v.shape
except AttributeError:
return "scalar"
else:
return "array " + "x".join([str(i) for i in shape])
class NumpyConsole(wx.py.shell.ShellFrame):
"""
NumpyConsole defines an interactive console which is aware of all the
numerical variables in the local name space. When variables are added
or removed, it signals that the set of variables has changed.
This is intended to be used as an embedded console in an interactive
application for which the user can define and manipulate numerical
types and automatically show a list of variables, e.g., available for
plotting.
If you subclass and replace self.init_code, be sure to do so _before_ calling
the superclass __init__.
"""
# code to define the initial namespace
init_code = """
from pylab import *
"""
introText = """
Welcome to the numpy console!
Example:
x = linspace(0,1,300)
y = sin(2*pi*x*3)
vars()
plot(x,y)
"""
def __init__(self, *args, **kwargs):
# Start interpreter and monitor statement execution
msg = kwargs.pop("introText", self.introText)
wx.py.shell.ShellFrame.__init__(self, *args, **kwargs)
# Print welcome message.
# TODO: replace this when (if?) ShellFrame allows introText=msg
print(msg, file=self.shell)
self.shell.prompt()
# Initialize the interpreter namespace with useful commands
self.shell.interp.runcode(compile(self.init_code, "__main__", "exec"))
# steal draw_if_interactive
import pylab
from matplotlib._pylab_helpers import Gcf
from matplotlib import pyplot
self._dirty = set()
def draw_if_interactive():
# print "calling draw_if_interactive with",Gcf.get_active()
self._dirty.add(Gcf.get_active())
pyplot.draw_if_interactive = draw_if_interactive
# add vars command to the interpreter
self.shell.interp.locals["vars"] = self._print_vars
# ignore the variables defined by numpy
self.ignore = set(self.shell.interp.locals.keys())
self._existing = {} # No new variables recorded yet
# remember which variables are current so we can detect changes
wx.py.dispatcher.connect(receiver=self._onPush, signal="Interpreter.push")
def filter(self, key, value):
"""
Return True if var should be listed in the available variables.
"""
return key not in self.ignore
# Dictionary interface
def items(self):
"""
Return the list of key,value pairs for all locals not ignored.
"""
locals = self.shell.interp.locals
for k, v in locals.items():
if self.filter(k, v):
yield k, v
def update(self, *args, **kw):
"""
Update a set of variables from a dictionary.
"""
self.shell.interp.locals.update(*args, **kw)
self._existing.update(*args, **kw)
def __setitem__(self, var, val):
"""
Define or replace a variable in the interpreter.
"""
self.shell.interp.locals[var] = val
self._existing[var] = val
def __getitem__(self, var):
"""
Retrieve a variable from the interpreter.
"""
return self.shell.interp.locals[var]
def __delitem__(self, var):
"""
Delete a variable from the interpreter.
"""
del self.shell.interp.locals[var]
try:
del self._existing[var]
except KeyError:
pass
# Stream interface
def write(self, msg):
"""
Support 'print >>console, blah' for putting output on console.
TODO: Maybe redirect stdout to console if console is open?
"""
self.shell.write(self, msg)
# ==== Internal messages ====
def OnChanged(self, added=[], changed=[], removed=[]):
"""
Override this method to perform your changed operation.
Note that we cannot detect changes within a variable without considerable
effort: we would need to keep a deep copy of the original value, and
use a deep comparison to see if it has changed.
"""
for var in added:
print("added", var, file=self.shell)
for var in changed:
print("changed", var, file=self.shell)
for var in removed:
print("deleted", var, file=self.shell)
print("override the OnChanged message to update your application state", file=self.shell)
def _print_vars(self):
"""
Print the available numeric variables and their shapes.
This is a command available to the user as vars().
"""
locals = self.shell.interp.locals
for k, v in self.items():
print(k, shapestr(v), file=self.shell)
def _onPush(self, **kw):
"""On command execution, detect if variable list has changed."""
# Note: checking for modify is too hard ... build it into the types?
# print >>self.shell, "checking for add/delete..."
# Update graphs if changed
if self._dirty:
import pylab
from matplotlib._pylab_helpers import Gcf
# print "figs",Gcf.figs
# print "dirty",self._dirty
for fig in self._dirty:
# print fig, Gcf.figs.values(),fig in Gcf.figs.values()
if fig and fig in Gcf.figs.values():
# print "drawing"
fig.canvas.draw()
pylab.show()
self._dirty.clear()
items = dict(list(self.items()))
oldkeys = set(self._existing.keys())
newkeys = set(items.keys())
added = newkeys - oldkeys
removed = oldkeys - newkeys
changed = set(k for k in (oldkeys & newkeys) if items[k] is not self._existing[k])
if added or changed or removed:
self.OnChanged(added=added, changed=changed, removed=removed)
self._existing = items
def demo():
"""Example use of the console."""
import numpy as np
app = wx.App(redirect=False)
ignored = {"f": lambda x: 3 + x}
console = NumpyConsole(locals=ignored)
console.update({"x": np.array([[42, 15], [-10, 12]]), "z": 42.0})
console.Show(True)
app.MainLoop()
if __name__ == "__main__":
demo()
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