def create_dialog(obj, obj_name):
"""Creates the editor dialog and returns a tuple (dialog, func) where func
is the function to be called with the dialog instance as argument, after
quitting the dialog box
The role of this intermediate function is to allow easy monkey-patching.
(uschmitt suggested this indirection here so that he can monkey patch
oedit to show eMZed related data)
"""
# Local import
from spyderlib.widgets.variableexplorer.texteditor import TextEditor
from spyderlib.widgets.variableexplorer.utils import (ndarray, FakeObject,
Image, is_known_type, DataFrame,
Series)
from spyderlib.widgets.variableexplorer.collectionseditor import CollectionsEditor
from spyderlib.widgets.variableexplorer.arrayeditor import ArrayEditor
if DataFrame is not FakeObject:
from spyderlib.widgets.variableexplorer.dataframeeditor import DataFrameEditor
conv_func = lambda data: data
readonly = not is_known_type(obj)
if isinstance(obj, ndarray) and ndarray is not FakeObject:
dialog = ArrayEditor()
if not dialog.setup_and_check(obj, title=obj_name,
readonly=readonly):
return
elif isinstance(obj, Image) and Image is not FakeObject \
and ndarray is not FakeObject:
dialog = ArrayEditor()
import numpy as np
data = np.array(obj)
if not dialog.setup_and_check(data, title=obj_name,
readonly=readonly):
return
from spyderlib.pil_patch import Image
conv_func = lambda data: Image.fromarray(data, mode=obj.mode)
elif isinstance(obj, (DataFrame, Series)) and DataFrame is not FakeObject:
dialog = DataFrameEditor()
if not dialog.setup_and_check(obj):
return
elif is_text_string(obj):
dialog = TextEditor(obj, title=obj_name, readonly=readonly)
else:
dialog = CollectionsEditor()
dialog.setup(obj, title=obj_name, readonly=readonly)
def end_func(dialog):
return conv_func(dialog.get_value())
return dialog, end_func
def show_errorlog(self):
if self.error_output:
TextEditor(self.error_output,
title=_("Profiler output"),
readonly=True,
size=(700, 500)).exec_()
def show_log(self):
if self.output:
TextEditor(self.output,
title=_("Pylint output"),
readonly=True,
size=(700, 500)).exec_()