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Edit: /snap/core22/2437/usr/lib/python3/dist-packages/urwid/monitored_list.py (16844B)
#!/usr/bin/python # # Urwid MonitoredList class # Copyright (C) 2004-2011 Ian Ward # # This library is free software; you can redistribute it and/or # modify it under the terms of the GNU Lesser General Public # License as published by the Free Software Foundation; either # version 2.1 of the License, or (at your option) any later version. # # This library is distributed in the hope that it will be useful, # but WITHOUT ANY WARRANTY; without even the implied warranty of # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU # Lesser General Public License for more details. # # You should have received a copy of the GNU Lesser General Public # License along with this library; if not, write to the Free Software # Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA # # Urwid web site: http://excess.org/urwid/ from __future__ import division, print_function from urwid.compat import PYTHON3, xrange def _call_modified(fn): def call_modified_wrapper(self, *args, **kwargs): rval = fn(self, *args, **kwargs) self._modified() return rval return call_modified_wrapper class MonitoredList(list): """ This class can trigger a callback any time its contents are changed with the usual list operations append, extend, etc. """ def _modified(self): pass def set_modified_callback(self, callback): """ Assign a callback function with no parameters that is called any time the list is modified. Callback's return value is ignored. >>> import sys >>> ml = MonitoredList([1,2,3]) >>> ml.set_modified_callback(lambda: sys.stdout.write("modified\\n")) >>> ml MonitoredList([1, 2, 3]) >>> ml.append(10) modified >>> len(ml) 4 >>> ml += [11, 12, 13] modified >>> ml[:] = ml[:2] + ml[-2:] modified >>> ml MonitoredList([1, 2, 12, 13]) """ self._modified = callback def __repr__(self): return "%s(%r)" % (self.__class__.__name__, list(self)) __add__ = _call_modified(list.__add__) __delitem__ = _call_modified(list.__delitem__) if not PYTHON3: __delslice__ = _call_modified(list.__delslice__) __iadd__ = _call_modified(list.__iadd__) __imul__ = _call_modified(list.__imul__) __rmul__ = _call_modified(list.__rmul__) __setitem__ = _call_modified(list.__setitem__) if not PYTHON3: __setslice__ = _call_modified(list.__setslice__) append = _call_modified(list.append) extend = _call_modified(list.extend) insert = _call_modified(list.insert) pop = _call_modified(list.pop) remove = _call_modified(list.remove) reverse = _call_modified(list.reverse) sort = _call_modified(list.sort) if hasattr(list, 'clear'): clear = _call_modified(list.clear) class MonitoredFocusList(MonitoredList): """ This class can trigger a callback any time its contents are modified, before and/or after modification, and any time the focus index is changed. """ def __init__(self, *argl, **argd): """ This is a list that tracks one item as the focus item. If items are inserted or removed it will update the focus. >>> ml = MonitoredFocusList([10, 11, 12, 13, 14], focus=3) >>> ml MonitoredFocusList([10, 11, 12, 13, 14], focus=3) >>> del(ml[1]) >>> ml MonitoredFocusList([10, 12, 13, 14], focus=2) >>> ml[:2] = [50, 51, 52, 53] >>> ml MonitoredFocusList([50, 51, 52, 53, 13, 14], focus=4) >>> ml[4] = 99 >>> ml MonitoredFocusList([50, 51, 52, 53, 99, 14], focus=4) >>> ml[:] = [] >>> ml MonitoredFocusList([], focus=None) """ focus = argd.pop('focus', 0) super(MonitoredFocusList, self).__init__(*argl, **argd) self._focus = focus self._focus_modified = lambda ml, indices, new_items: None def __repr__(self): return "%s(%r, focus=%r)" % ( self.__class__.__name__, list(self), self.focus) def _get_focus(self): """ Return the index of the item "in focus" or None if the list is empty. >>> MonitoredFocusList([1,2,3], focus=2)._get_focus() 2 >>> MonitoredFocusList()._get_focus() """ if not self: return None return self._focus def _set_focus(self, index): """ index -- index into this list, any index out of range will raise an IndexError, except when the list is empty and the index passed is ignored. This function may call self._focus_changed when the focus is modified, passing the new focus position to the callback just before changing the old focus setting. That method may be overridden on the instance with set_focus_changed_callback(). >>> ml = MonitoredFocusList([9, 10, 11]) >>> ml._set_focus(2); ml._get_focus() 2 >>> ml._set_focus(0); ml._get_focus() 0 >>> ml._set_focus(-2) Traceback (most recent call last): ... IndexError: focus index is out of range: -2 """ if not self: self._focus = 0 return if index < 0 or index >= len(self): raise IndexError('focus index is out of range: %s' % (index,)) if index != int(index): raise IndexError('invalid focus index: %s' % (index,)) index = int(index) if index != self._focus: self._focus_changed(index) self._focus = index focus = property(_get_focus, _set_focus, doc=""" Get/set the focus index. This value is read as None when the list is empty, and may only be set to a value between 0 and len(self)-1 or an IndexError will be raised. """) def _focus_changed(self, new_focus): pass def set_focus_changed_callback(self, callback): """ Assign a callback to be called when the focus index changes for any reason. The callback is in the form: callback(new_focus) new_focus -- new focus index >>> import sys >>> ml = MonitoredFocusList([1,2,3], focus=1) >>> ml.set_focus_changed_callback(lambda f: sys.stdout.write("focus: %d\\n" % (f,))) >>> ml MonitoredFocusList([1, 2, 3], focus=1) >>> ml.append(10) >>> ml.insert(1, 11) focus: 2 >>> ml MonitoredFocusList([1, 11, 2, 3, 10], focus=2) >>> del ml[:2] focus: 0 >>> ml[:0] = [12, 13, 14] focus: 3 >>> ml.focus = 5 focus: 5 >>> ml MonitoredFocusList([12, 13, 14, 2, 3, 10], focus=5) """ self._focus_changed = callback def _validate_contents_modified(self, indices, new_items): return None def set_validate_contents_modified(self, callback): """ Assign a callback function to handle validating changes to the list. This may raise an exception if the change should not be performed. It may also return an integer position to be the new focus after the list is modified, or None to use the default behaviour. The callback is in the form: callback(indices, new_items) indices -- a (start, stop, step) tuple whose range covers the items being modified new_items -- an iterable of items replacing those at range(*indices), empty if items are being removed, if step==1 this list may contain any number of items """ self._validate_contents_modified = callback def _adjust_focus_on_contents_modified(self, slc, new_items=()): """ Default behaviour is to move the focus to the item following any removed items, unless that item was simply replaced. Failing that choose the last item in the list. returns focus position for after change is applied """ num_new_items = len(new_items) start, stop, step = indices = slc.indices(len(self)) num_removed = len(list(xrange(*indices))) focus = self._validate_contents_modified(indices, new_items) if focus is not None: return focus focus = self._focus if step == 1: if start + num_new_items <= focus < stop: focus = stop # adjust for added/removed items if stop <= focus: focus += num_new_items - (stop - start) else: if not num_new_items: # extended slice being removed if focus in xrange(start, stop, step): focus += 1 # adjust for removed items focus -= len(list(xrange(start, min(focus, stop), step))) return min(focus, len(self) + num_new_items - num_removed -1) # override all the list methods that modify the list def __delitem__(self, y): """ >>> ml = MonitoredFocusList([0,1,2,3,4], focus=2) >>> del ml[3]; ml MonitoredFocusList([0, 1, 2, 4], focus=2) >>> del ml[-1]; ml MonitoredFocusList([0, 1, 2], focus=2) >>> del ml[0]; ml MonitoredFocusList([1, 2], focus=1) >>> del ml[1]; ml MonitoredFocusList([1], focus=0) >>> del ml[0]; ml MonitoredFocusList([], focus=None) >>> ml = MonitoredFocusList([5,4,6,4,5,4,6,4,5], focus=4) >>> del ml[1::2]; ml MonitoredFocusList([5, 6, 5, 6, 5], focus=2) >>> del ml[::2]; ml MonitoredFocusList([6, 6], focus=1) >>> ml = MonitoredFocusList([0,1,2,3,4,6,7], focus=2) >>> del ml[-2:]; ml MonitoredFocusList([0, 1, 2, 3, 4], focus=2) >>> del ml[-4:-2]; ml MonitoredFocusList([0, 3, 4], focus=1) >>> del ml[:]; ml MonitoredFocusList([], focus=None) """ if isinstance(y, slice): focus = self._adjust_focus_on_contents_modified(y) else: focus = self._adjust_focus_on_contents_modified(slice(y, y+1 or None)) rval = super(MonitoredFocusList, self).__delitem__(y) self._set_focus(focus) return rval def __setitem__(self, i, y): """ >>> def modified(indices, new_items): ... print("range%r <- %r" % (indices, new_items)) >>> ml = MonitoredFocusList([0,1,2,3], focus=2) >>> ml.set_validate_contents_modified(modified) >>> ml[0] = 9 range(0, 1, 1) <- [9] >>> ml[2] = 6 range(2, 3, 1) <- [6] >>> ml.focus 2 >>> ml[-1] = 8 range(3, 4, 1) <- [8] >>> ml MonitoredFocusList([9, 1, 6, 8], focus=2) >>> ml[1::2] = [12, 13] range(1, 4, 2) <- [12, 13] >>> ml[::2] = [10, 11] range(0, 4, 2) <- [10, 11] >>> ml[-3:-1] = [21, 22, 23] range(1, 3, 1) <- [21, 22, 23] >>> ml MonitoredFocusList([10, 21, 22, 23, 13], focus=2) >>> ml[:] = [] range(0, 5, 1) <- [] >>> ml MonitoredFocusList([], focus=None) """ if isinstance(i, slice): focus = self._adjust_focus_on_contents_modified(i, y) else: focus = self._adjust_focus_on_contents_modified(slice(i, i+1 or None), [y]) rval = super(MonitoredFocusList, self).__setitem__(i, y) self._set_focus(focus) return rval if not PYTHON3: def __delslice__(self, i, j): return self.__delitem__(slice(i,j)) def __setslice__(self, i, j, y): return self.__setitem__(slice(i, j), y) def __imul__(self, n): """ >>> def modified(indices, new_items): ... print("range%r <- %r" % (indices, list(new_items))) >>> ml = MonitoredFocusList([0,1,2], focus=2) >>> ml.set_validate_contents_modified(modified) >>> ml *= 3 range(3, 3, 1) <- [0, 1, 2, 0, 1, 2] >>> ml MonitoredFocusList([0, 1, 2, 0, 1, 2, 0, 1, 2], focus=2) >>> ml *= 0 range(0, 9, 1) <- [] >>> print(ml.focus) None """ if n > 0: focus = self._adjust_focus_on_contents_modified( slice(len(self), len(self)), list(self)*(n-1)) else: # all contents are being removed focus = self._adjust_focus_on_contents_modified(slice(0, len(self))) rval = super(MonitoredFocusList, self).__imul__(n) self._set_focus(focus) return rval def append(self, item): """ >>> def modified(indices, new_items): ... print("range%r <- %r" % (indices, new_items)) >>> ml = MonitoredFocusList([0,1,2], focus=2) >>> ml.set_validate_contents_modified(modified) >>> ml.append(6) range(3, 3, 1) <- [6] """ focus = self._adjust_focus_on_contents_modified( slice(len(self), len(self)), [item]) rval = super(MonitoredFocusList, self).append(item) self._set_focus(focus) return rval def extend(self, items): """ >>> def modified(indices, new_items): ... print("range%r <- %r" % (indices, list(new_items))) >>> ml = MonitoredFocusList([0,1,2], focus=2) >>> ml.set_validate_contents_modified(modified) >>> ml.extend((6,7,8)) range(3, 3, 1) <- [6, 7, 8] """ focus = self._adjust_focus_on_contents_modified( slice(len(self), len(self)), items) rval = super(MonitoredFocusList, self).extend(items) self._set_focus(focus) return rval def insert(self, index, item): """ >>> ml = MonitoredFocusList([0,1,2,3], focus=2) >>> ml.insert(-1, -1); ml MonitoredFocusList([0, 1, 2, -1, 3], focus=2) >>> ml.insert(0, -2); ml MonitoredFocusList([-2, 0, 1, 2, -1, 3], focus=3) >>> ml.insert(3, -3); ml MonitoredFocusList([-2, 0, 1, -3, 2, -1, 3], focus=4) """ focus = self._adjust_focus_on_contents_modified(slice(index, index), [item]) rval = super(MonitoredFocusList, self).insert(index, item) self._set_focus(focus) return rval def pop(self, index=-1): """ >>> ml = MonitoredFocusList([-2,0,1,-3,2,3], focus=4) >>> ml.pop(3); ml -3 MonitoredFocusList([-2, 0, 1, 2, 3], focus=3) >>> ml.pop(0); ml -2 MonitoredFocusList([0, 1, 2, 3], focus=2) >>> ml.pop(-1); ml 3 MonitoredFocusList([0, 1, 2], focus=2) >>> ml.pop(2); ml 2 MonitoredFocusList([0, 1], focus=1) """ focus = self._adjust_focus_on_contents_modified(slice(index, index+1 or None)) rval = super(MonitoredFocusList, self).pop(index) self._set_focus(focus) return rval def remove(self, value): """ >>> ml = MonitoredFocusList([-2,0,1,-3,2,-1,3], focus=4) >>> ml.remove(-3); ml MonitoredFocusList([-2, 0, 1, 2, -1, 3], focus=3) >>> ml.remove(-2); ml MonitoredFocusList([0, 1, 2, -1, 3], focus=2) >>> ml.remove(3); ml MonitoredFocusList([0, 1, 2, -1], focus=2) """ index = self.index(value) focus = self._adjust_focus_on_contents_modified(slice(index, index+1 or None)) rval = super(MonitoredFocusList, self).remove(value) self._set_focus(focus) return rval def reverse(self): """ >>> ml = MonitoredFocusList([0,1,2,3,4], focus=1) >>> ml.reverse(); ml MonitoredFocusList([4, 3, 2, 1, 0], focus=3) """ rval = super(MonitoredFocusList, self).reverse() self._set_focus(max(0, len(self) - self._focus - 1)) return rval def sort(self, **kwargs): """ >>> ml = MonitoredFocusList([-2,0,1,-3,2,-1,3], focus=4) >>> ml.sort(); ml MonitoredFocusList([-3, -2, -1, 0, 1, 2, 3], focus=5) """ if not self: return value = self[self._focus] rval = super(MonitoredFocusList, self).sort(**kwargs) self._set_focus(self.index(value)) return rval if hasattr(list, 'clear'): def clear(self): focus = self._adjust_focus_on_contents_modified(slice(0, 0)) rval = super(MonitoredFocusList, self).clear() self._set_focus(focus) return rval def _test(): import doctest doctest.testmod() if __name__=='__main__': _test()