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Greatly reduce the delay at the end of a bulk metadata edit operation that operates on a very large number (thousands) of books

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Kovid Goyal 2011-12-05 11:11:47 +05:30
parent 7eb2914c67
commit a78aa3e12a
1 changed files with 9 additions and 3 deletions
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12
src/calibre/gui2/library/views.py
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@ -5,8 +5,9 @@
__copyright__ = '2010, Kovid Goyal <kovid@kovidgoyal.net>'
__docformat__ = 'restructuredtext en'
import os
import os, itertools, operator
from functools import partial
from future_builtins import map
from PyQt4.Qt import (QTableView, Qt, QAbstractItemView, QMenu, pyqtSignal,
QModelIndex, QIcon, QItemSelection, QMimeData, QDrag, QApplication,
@ -793,8 +794,13 @@ def select_rows(self, identifiers, using_ids=True, change_current=True,
sel = QItemSelection()
m = self.model()
max_col = m.columnCount(QModelIndex()) - 1
for row in rows:
sel.select(m.index(row, 0), m.index(row, max_col))
# Create a range based selector for each set of contiguous rows
# as supplying selectors for each individual row causes very poor
# performance if a large number of rows has to be selected.
for k, g in itertools.groupby(enumerate(rows), lambda (i,x):i-x):
group = list(map(operator.itemgetter(1), g))
sel.merge(QItemSelection(m.index(min(group), 0),
m.index(max(group), max_col)), sm.Select)
sm.select(sel, sm.ClearAndSelect)
def get_selected_ids(self):