def _draw_image(self, at_bottom, scroll):
self._display_active_widgets()
if not self.filehandler.file_loaded:
self._waiting_for_redraw = False
return False
self.is_virtual_double_page = self.imagehandler.get_virtual_double_page()
if self.imagehandler.page_is_available():
distribution_axis = constants.DISTRIBUTION_AXIS
alignment_axis = constants.ALIGNMENT_AXIS
n = 2 if self.displayed_double() else 1 # XXX limited to at most 2 pages
pixbufs = list(self.imagehandler.get_pixbufs(n))
rotations = [self._get_pixbuf_rotation(x, True) for x in pixbufs]
sizes = map(lambda y: tuple(reversed(y[1])) \
if rotations[y[0]] in (90, 270) else y[1], # 2D only
enumerate([(x.get_width(), x.get_height()) for x in pixbufs]))
viewport_size = () # dummy
expand_area = False
scrollbar_requests = [False] * len(self._scroll)
# Visible area size is recomputed depending on scrollbar visibility
while True:
self._show_scrollbars(scrollbar_requests)
new_viewport_size = self.get_visible_area_size()
if new_viewport_size == viewport_size:
break
viewport_size = new_viewport_size
zoom_dummy_size = list(viewport_size)
dasize = zoom_dummy_size[distribution_axis] - \
self._spacing * (n - 1)
if dasize <= 0:
dasize = 1
zoom_dummy_size[distribution_axis] = dasize
scaled_sizes = self.zoom.get_zoomed_size(sizes, zoom_dummy_size,
distribution_axis)
self.layout = scrolling.FiniteLayout(scaled_sizes, viewport_size,
scrolling.MANGA_ORIENTATION if self.is_manga_mode
else scrolling.WESTERN_ORIENTATION, self._spacing,
expand_area, distribution_axis, alignment_axis)
union_scaled_size = self.layout.get_union_box().get_size()
scrollbar_requests = map(operator.or_, scrollbar_requests,
tools.smaller(viewport_size, union_scaled_size))
if len(filter(None, scrollbar_requests)) > 1 and not expand_area:
expand_area = True
viewport_size = () # start anew
for i in range(n):
pixbufs[i] = image_tools.fit_pixbuf_to_rectangle(
pixbufs[i], scaled_sizes[i], rotations[i])
for i in range(n):
if prefs['horizontal flip']: # 2D only
pixbufs[i] = pixbufs[i].flip(horizontal=True)
if prefs['vertical flip']: # 2D only
pixbufs[i] = pixbufs[i].flip(horizontal=False)
pixbufs[i] = self.enhancer.enhance(pixbufs[i])
for i in range(n):
self.images[i].set_from_pixbuf(pixbufs[i])
scales = tuple(map(lambda x, y: math.sqrt(tools.div(
tools.volume(x), tools.volume(y))), scaled_sizes, sizes))
resolutions = tuple(map(lambda x, y: x + (y,), sizes, scales))
if self.is_manga_mode:
resolutions = tuple(reversed(resolutions))
self.statusbar.set_resolution(resolutions)
smartbg = prefs['smart bg']
smartthumbbg = prefs['smart thumb bg'] and prefs['show thumbnails']
if smartbg or smartthumbbg:
bg_colour = self.imagehandler.get_pixbuf_auto_background(n)
if smartbg:
self.set_bg_colour(bg_colour)
if smartthumbbg:
self.thumbnailsidebar.change_thumbnail_background_color(bg_colour)
#self._image_box.window.freeze_updates() # XXX replacement necessary?
self._main_layout.set_size(*union_scaled_size)
content_boxes = self.layout.get_content_boxes()
for i in range(n):
self._main_layout.move(self.images[i],
*content_boxes[i].get_position())
for i in range(n):
self.images[i].show()
for i in range(n, len(self.images)):
self.images[i].hide()
if scroll:
if at_bottom:
self.scroll_to_fixed(horiz='endsecond', vert='bottom')
else:
self.scroll_to_fixed(horiz='startfirst', vert='top')
#self._image_box.window.thaw_updates() # XXX replacement necessary?
else:
# If the pixbuf for the current page(s) isn't available,
# hide all images to clear any old pixbufs.
# XXX How about calling self._clear_main_area?
for i in range(len(self.images)):
self.images[i].hide()
self._update_page_information()
self._waiting_for_redraw = False
return False
def _scale_distributed(sizes, axis, max_size, allow_upscaling,
do_not_transform):
''' Calculates scales for a list of boxes that are distributed along a
given axis (without any gaps). If the resulting scales are applied to
their respective boxes, their new total size along axis will be as close
as possible to max_size. The current implementation ensures that equal
box sizes are mapped to equal scales.
@param sizes: A list of box sizes.
@param axis: The axis along which those boxes are distributed.
@param max_size: The maximum size the scaled boxes may have along axis.
@param allow_upscaling: True if upscaling is allowed, False otherwise.
@param do_not_transform: True if the resulting scale must be 1, False
otherwise.
@return: A list of scales where the i-th scale belongs to the i-th box
size. If sizes is empty, the empty list is returned. If there are more
boxes than max_size, an approximation is returned where all resulting
scales will shrink their respective boxes to 1 along axis. In this case,
the scaled total size might be greater than max_size. '''
n = len(sizes)
# trivial cases first
if n == 0:
return []
if n >= max_size:
# In this case, only one solution or only an approximation is available.
# if n > max_size, the result won't fit into max_size.
return map(lambda x: tools.div(1, x[axis]),
sizes) # FIXME ignores do_not_transform
total_axis_size = sum(map(lambda x: x[axis], sizes))
if (total_axis_size <= max_size) and not allow_upscaling:
# identity
return [IDENTITY_ZOOM] * n
# non-trival case
scale = tools.div(
max_size, total_axis_size
) # FIXME initial guess should take unscalable images into account
scaling_data = [None] * n
total_axis_size = 0
# This loop collects some data we need for the actual computations later.
for i in range(n):
this_size = sizes[i]
# Shortcut: If the size cannot be changed, accept the original size.
if do_not_transform[i]:
total_axis_size += this_size[axis]
scaling_data[i] = [
IDENTITY_ZOOM, IDENTITY_ZOOM, False, IDENTITY_ZOOM, 0.0
]
continue
# Initial guess: The current scale works for all tuples.
ideal = tools.scale(this_size, scale)
ideal_vol = tools.volume(ideal)
# Let's use a dummy to compute the actual (rounded) size along axis
# so we can rescale the rounded tuple with a better local_scale
# later. This rescaling is necessary to ensure that the sizes in ALL
# dimensions are monotonically scaled (with respect to local_scale).
# A nice side effect of this is that it keeps the aspect ratio better.
dummy_approx = _round_nonempty((ideal[axis], ))[0]
local_scale = tools.div(dummy_approx, this_size[axis])
total_axis_size += dummy_approx
can_be_downscaled = dummy_approx > 1
if can_be_downscaled:
forced_size = dummy_approx - 1
forced_scale = tools.div(forced_size, this_size[axis])
forced_approx = _scale_image_size(this_size, forced_scale)
forced_vol_err = tools.relerr(tools.volume(forced_approx),
ideal_vol)
else:
forced_scale = None
forced_vol_err = None
scaling_data[i] = [
local_scale, ideal, can_be_downscaled, forced_scale,
forced_vol_err
]
# Now we need to find at most total_axis_size - max_size occasions to
# scale down some tuples so the whole thing would fit into max_size. If
# we are lucky, there will be no gaps at the end (or at least fewer gaps
# than we would have if we always rounded down).
dirty = True # This flag prevents infinite loops if nothing can be made any smaller.
while dirty and (total_axis_size > max_size):
# This algorithm needs O(n*n) time. Let's hope that n is small enough.
dirty = False
current_index = 0
current_min = None
for i in range(n):
d = scaling_data[i]
if not d[2]:
# Ignore elements that cannot be made any smaller.
continue
if (current_min is None) or (d[4] < current_min[4]):
# We are searching for the tuple where downscaling results
# in the smallest relative volume error (compared to the
# respective ideal volume).
current_min = d
current_index = i
for i in range(current_index, n):
# We must scale down ALL equal tuples. Otherwise, images that
# are of equal size might appear to be of different size
# afterwards. The downside of this approach is that it might
# introduce more gaps than necessary.
d = scaling_data[i]
if (not d[2]) or (d[1] != current_min[1]):
continue
d[0] = d[3]
d[2] = False # only once per tuple
total_axis_size -= 1
dirty = True
else:
# If we are here and total_axis_size < max_size, we could try to
# upscale some tuples similarily to the other loop (i.e. smallest
# relative volume error first, equal boxes in conjunction with each
# other). However, this is not as useful as the other loop, slightly
# more complicated and it won't do anything if all tuples are equal.
pass
return map(lambda d: d[0], scaling_data)
def _scale_distributed(sizes, axis, max_size, allow_upscaling,
do_not_transform):
""" Calculates scales for a list of boxes that are distributed along a
given axis (without any gaps). If the resulting scales are applied to
their respective boxes, their new total size along axis will be as close
as possible to max_size. The current implementation ensures that equal
box sizes are mapped to equal scales.
@param sizes: A list of box sizes.
@param axis: The axis along which those boxes are distributed.
@param max_size: The maximum size the scaled boxes may have along axis.
@param allow_upscaling: True if upscaling is allowed, False otherwise.
@param do_not_transform: True if the resulting scale must be 1, False
otherwise.
@return: A list of scales where the i-th scale belongs to the i-th box
size. If sizes is empty, the empty list is returned. If there are more
boxes than max_size, an approximation is returned where all resulting
scales will shrink their respective boxes to 1 along axis. In this case,
the scaled total size might be greater than max_size. """
n = len(sizes)
# trivial cases first
if n == 0:
return []
if n >= max_size:
# In this case, only one solution or only an approximation is available.
# if n > max_size, the result won't fit into max_size.
return map(lambda x: tools.div(1, x[axis]), sizes) # FIXME ignores do_not_transform
total_axis_size = sum(map(lambda x: x[axis], sizes))
if (total_axis_size <= max_size) and not allow_upscaling:
# identity
return [IDENTITY_ZOOM] * n
# non-trival case
scale = tools.div(max_size, total_axis_size) # FIXME initial guess should take unscalable images into account
scaling_data = [None] * n
total_axis_size = 0
# This loop collects some data we need for the actual computations later.
for i in range(n):
this_size = sizes[i]
# Shortcut: If the size cannot be changed, accept the original size.
if do_not_transform[i]:
total_axis_size += this_size[axis]
scaling_data[i] = [IDENTITY_ZOOM, IDENTITY_ZOOM, False,
IDENTITY_ZOOM, 0.0]
continue
# Initial guess: The current scale works for all tuples.
ideal = tools.scale(this_size, scale)
ideal_vol = tools.volume(ideal)
# Let's use a dummy to compute the actual (rounded) size along axis
# so we can rescale the rounded tuple with a better local_scale
# later. This rescaling is necessary to ensure that the sizes in ALL
# dimensions are monotonically scaled (with respect to local_scale).
# A nice side effect of this is that it keeps the aspect ratio better.
dummy_approx = _round_nonempty((ideal[axis],))[0]
local_scale = tools.div(dummy_approx, this_size[axis])
total_axis_size += dummy_approx
can_be_downscaled = dummy_approx > 1
if can_be_downscaled:
forced_size = dummy_approx - 1
forced_scale = tools.div(forced_size, this_size[axis])
forced_approx = _scale_image_size(this_size, forced_scale)
forced_vol_err = tools.relerr(tools.volume(forced_approx), ideal_vol)
else:
forced_scale = None
forced_vol_err = None
scaling_data[i] = [local_scale, ideal, can_be_downscaled,
forced_scale, forced_vol_err]
# Now we need to find at most total_axis_size - max_size occasions to
# scale down some tuples so the whole thing would fit into max_size. If
# we are lucky, there will be no gaps at the end (or at least fewer gaps
# than we would have if we always rounded down).
dirty=True # This flag prevents infinite loops if nothing can be made any smaller.
while dirty and (total_axis_size > max_size):
# This algorithm needs O(n*n) time. Let's hope that n is small enough.
dirty=False
current_index = 0
current_min = None
for i in range(n):
d = scaling_data[i]
if not d[2]:
# Ignore elements that cannot be made any smaller.
continue
if (current_min is None) or (d[4] < current_min[4]):
# We are searching for the tuple where downscaling results
# in the smallest relative volume error (compared to the
# respective ideal volume).
current_min = d
current_index = i
for i in range(current_index, n):
# We must scale down ALL equal tuples. Otherwise, images that
# are of equal size might appear to be of different size
# afterwards. The downside of this approach is that it might
# introduce more gaps than necessary.
d = scaling_data[i]
if (not d[2]) or (d[1] != current_min[1]):
continue
d[0] = d[3]
d[2] = False # only once per tuple
total_axis_size -= 1
dirty=True
else:
# If we are here and total_axis_size < max_size, we could try to
# upscale some tuples similarly to the other loop (i.e. smallest
# relative volume error first, equal boxes in conjunction with each
# other). However, this is not as useful as the other loop, slightly
# more complicated and it won't do anything if all tuples are equal.
pass
return map(lambda d: d[0], scaling_data)
def _draw_image(self, at_bottom, scroll):
self._display_active_widgets()
if not self.filehandler.file_loaded:
self._waiting_for_redraw = False
return False
self.is_virtual_double_page = self.imagehandler.get_virtual_double_page(
)
if self.imagehandler.page_is_available():
distribution_axis = constants.DISTRIBUTION_AXIS
alignment_axis = constants.ALIGNMENT_AXIS
n = 2 if self.displayed_double(
) else 1 # XXX limited to at most 2 pages
pixbufs = list(self.imagehandler.get_pixbufs(n))
rotations = [self._get_pixbuf_rotation(x, True) for x in pixbufs]
sizes = map(lambda y: tuple(reversed(y[1])) \
if rotations[y[0]] in (90, 270) else y[1], # 2D only
enumerate([(x.get_width(), x.get_height()) for x in pixbufs]))
viewport_size = () # dummy
expand_area = False
scrollbar_requests = [False] * len(self._scroll)
# Visible area size is recomputed depending on scrollbar visibility
while True:
self._show_scrollbars(scrollbar_requests)
new_viewport_size = self.get_visible_area_size()
if new_viewport_size == viewport_size:
break
viewport_size = new_viewport_size
zoom_dummy_size = list(viewport_size)
dasize = zoom_dummy_size[distribution_axis] - \
self._spacing * (n - 1)
if dasize <= 0:
dasize = 1
zoom_dummy_size[distribution_axis] = dasize
scaled_sizes = self.zoom.get_zoomed_size(
sizes, zoom_dummy_size, distribution_axis)
self.layout = layout.FiniteLayout(
scaled_sizes, viewport_size, constants.MANGA_ORIENTATION
if self.is_manga_mode else constants.WESTERN_ORIENTATION,
self._spacing, expand_area, distribution_axis,
alignment_axis)
union_scaled_size = self.layout.get_union_box().get_size()
scrollbar_requests = map(
operator.or_, scrollbar_requests,
tools.smaller(viewport_size, union_scaled_size))
if len(filter(None,
scrollbar_requests)) > 1 and not expand_area:
expand_area = True
viewport_size = () # start anew
for i in range(n):
pixbufs[i] = image_tools.fit_pixbuf_to_rectangle(
pixbufs[i], scaled_sizes[i], rotations[i])
for i in range(n):
if prefs['horizontal flip']: # 2D only
pixbufs[i] = pixbufs[i].flip(horizontal=True)
if prefs['vertical flip']: # 2D only
pixbufs[i] = pixbufs[i].flip(horizontal=False)
pixbufs[i] = self.enhancer.enhance(pixbufs[i])
for i in range(n):
image_tools.set_from_pixbuf(self.images[i], pixbufs[i])
scales = tuple(
map(
lambda x, y: math.sqrt(
tools.div(tools.volume(x), tools.volume(y))),
scaled_sizes, sizes))
resolutions = tuple(map(lambda x, y: x + (y, ), sizes, scales))
if self.is_manga_mode:
resolutions = tuple(reversed(resolutions))
self.statusbar.set_resolution(resolutions)
smartbg = prefs['smart bg']
smartthumbbg = prefs['smart thumb bg'] and prefs['show thumbnails']
if smartbg or smartthumbbg:
bg_colour = self.imagehandler.get_pixbuf_auto_background(n)
if smartbg:
self.set_bg_colour(bg_colour)
if smartthumbbg:
self.thumbnailsidebar.change_thumbnail_background_color(
bg_colour)
#self._image_box.window.freeze_updates() # XXX replacement necessary?
self._main_layout.set_size(*union_scaled_size)
content_boxes = self.layout.get_content_boxes()
for i in range(n):
self._main_layout.move(self.images[i],
*content_boxes[i].get_position())
for i in range(n):
self.images[i].show()
for i in range(n, len(self.images)):
self.images[i].hide()
if scroll:
if at_bottom:
self.scroll_to_predefined((constants.SCROLL_TO_END, ) * 2,
constants.LAST_INDEX)
else:
self.scroll_to_predefined(
(constants.SCROLL_TO_START, ) * 2,
constants.FIRST_INDEX)
#self._image_box.window.thaw_updates() # XXX replacement necessary?
else:
# If the pixbuf for the current page(s) isn't available,
# hide all images to clear any old pixbufs.
# XXX How about calling self._clear_main_area?
for i in range(len(self.images)):
self.images[i].hide()
self._update_page_information()
self._waiting_for_redraw = False
return False
def _draw_image(self, scroll_to):
self._update_toggles_visibility()
if not self.filehandler.file_loaded:
self._clear_main_area()
self._waiting_for_redraw = False
return False
if self.imagehandler.page_is_available():
distribution_axis = constants.DISTRIBUTION_AXIS
alignment_axis = constants.ALIGNMENT_AXIS
pixbuf_count = 2 if self.displayed_double(
) else 1 # XXX limited to at most 2 pages
pixbuf_list = list(self.imagehandler.get_pixbufs(pixbuf_count))
do_not_transform = [
image_tools.is_animation(x) for x in pixbuf_list
]
size_list = [[pixbuf.get_width(),
pixbuf.get_height()] for pixbuf in pixbuf_list]
if self.is_manga_mode:
orientation = constants.MANGA_ORIENTATION
else:
orientation = constants.WESTERN_ORIENTATION
# Rotation handling:
# - apply Exif rotation on individual images
# - apply automatic rotation (size based) on whole page
# - apply manual rotation on whole page
if prefs['auto rotate from exif']:
rotation_list = [
image_tools.get_implied_rotation(pixbuf)
for pixbuf in pixbuf_list
]
else:
rotation_list = [0] * len(pixbuf_list)
virtual_size = [0, 0]
for i in range(pixbuf_count):
if rotation_list[i] in (90, 270):
size_list[i].reverse()
size = size_list[i]
virtual_size[distribution_axis] += size[distribution_axis]
virtual_size[alignment_axis] = max(
virtual_size[alignment_axis], size[alignment_axis])
rotation = self._get_size_rotation(*virtual_size)
rotation = (rotation + prefs['rotation']) % 360
if rotation in (90, 270):
distribution_axis, alignment_axis = alignment_axis, distribution_axis
orientation = list(orientation)
orientation.reverse()
for i in range(pixbuf_count):
if do_not_transform[i]:
continue
size_list[i].reverse()
if rotation in (180, 270):
orientation = tools.vector_opposite(orientation)
for i in range(pixbuf_count):
rotation_list[i] = (rotation_list[i] + rotation) % 360
if prefs['vertical flip'] and rotation in (90, 270):
orientation = tools.vector_opposite(orientation)
if prefs['horizontal flip'] and rotation in (0, 180):
orientation = tools.vector_opposite(orientation)
viewport_size = () # dummy
expand_area = False
scrollbar_requests = [False] * len(self._scroll)
# Visible area size is recomputed depending on scrollbar visibility
while True:
self._show_scrollbars(scrollbar_requests)
new_viewport_size = self.get_visible_area_size()
if new_viewport_size == viewport_size:
break
viewport_size = new_viewport_size
zoom_dummy_size = list(viewport_size)
dasize = zoom_dummy_size[distribution_axis] - \
self._spacing * (pixbuf_count - 1)
if dasize <= 0:
dasize = 1
zoom_dummy_size[distribution_axis] = dasize
scaled_sizes = self.zoom.get_zoomed_size(
size_list, zoom_dummy_size, distribution_axis,
do_not_transform)
self.layout = layout.FiniteLayout(scaled_sizes, viewport_size,
orientation, self._spacing,
expand_area,
distribution_axis,
alignment_axis)
union_scaled_size = self.layout.get_union_box().get_size()
scrollbar_requests = map(
operator.or_, scrollbar_requests,
tools.smaller(viewport_size, union_scaled_size))
if len(filter(None,
scrollbar_requests)) > 1 and not expand_area:
expand_area = True
viewport_size = () # start anew
for i in range(pixbuf_count):
if do_not_transform[i]:
continue
pixbuf_list[i] = image_tools.fit_pixbuf_to_rectangle(
pixbuf_list[i], scaled_sizes[i], rotation_list[i])
for i in range(pixbuf_count):
if do_not_transform[i]:
continue
if prefs['horizontal flip']:
pixbuf_list[i] = pixbuf_list[i].flip(horizontal=True)
if prefs['vertical flip']:
pixbuf_list[i] = pixbuf_list[i].flip(horizontal=False)
pixbuf_list[i] = self.enhancer.enhance(pixbuf_list[i])
for i in range(pixbuf_count):
image_tools.set_from_pixbuf(self.images[i], pixbuf_list[i])
scales = tuple(
map(
lambda x, y: math.sqrt(
tools.div(tools.volume(x), tools.volume(y))),
scaled_sizes, size_list))
resolutions = tuple(map(lambda x, y: x + [
y,
], size_list, scales))
if self.is_manga_mode:
resolutions = tuple(reversed(resolutions))
self.statusbar.set_resolution(resolutions)
self.statusbar.update()
smartbg = prefs['smart bg']
smartthumbbg = prefs['smart thumb bg'] and prefs['show thumbnails']
if smartbg or smartthumbbg:
bg_colour = self.imagehandler.get_pixbuf_auto_background(
pixbuf_count)
if smartbg:
self.set_bg_colour(bg_colour)
if smartthumbbg:
self.thumbnailsidebar.change_thumbnail_background_color(
bg_colour)
self._main_layout.window.freeze_updates()
self._main_layout.set_size(*union_scaled_size)
content_boxes = self.layout.get_content_boxes()
for i in range(pixbuf_count):
self._main_layout.move(self.images[i],
*content_boxes[i].get_position())
for i in range(pixbuf_count):
self.images[i].show()
for i in range(pixbuf_count, len(self.images)):
self.images[i].hide()
# Reset orientation so scrolling behaviour is sane.
if self.is_manga_mode:
self.layout.set_orientation(constants.MANGA_ORIENTATION)
else:
self.layout.set_orientation(constants.WESTERN_ORIENTATION)
if scroll_to is not None:
destination = (scroll_to, ) * 2
if constants.SCROLL_TO_START == scroll_to:
index = constants.FIRST_INDEX
elif constants.SCROLL_TO_END == scroll_to:
index = constants.LAST_INDEX
else:
index = None
self.scroll_to_predefined(destination, index)
self._main_layout.window.thaw_updates()
else:
# Save scroll destination for when the page becomes available.
self._last_scroll_destination = scroll_to
# If the pixbuf for the current page(s) isn't available,
# hide all images to clear any old pixbufs.
# XXX How about calling self._clear_main_area?
for i in range(len(self.images)):
self.images[i].hide()
self._show_scrollbars([False] * len(self._scroll))
self._waiting_for_redraw = False
return False
def _draw_image(self, scroll_to):
self._update_toggles_visibility()
if not self.filehandler.file_loaded:
self._clear_main_area()
self._waiting_for_redraw = False
return False
if self.imagehandler.page_is_available():
distribution_axis = constants.DISTRIBUTION_AXIS
alignment_axis = constants.ALIGNMENT_AXIS
pixbuf_count = 2 if self.displayed_double() else 1 # XXX limited to at most 2 pages
pixbuf_list = list(self.imagehandler.get_pixbufs(pixbuf_count))
size_list = [[pixbuf.get_width(), pixbuf.get_height()]
for pixbuf in pixbuf_list]
if self.is_manga_mode:
orientation = constants.MANGA_ORIENTATION
else:
orientation = constants.WESTERN_ORIENTATION
# Rotation handling:
# - apply Exif rotation on individual images
# - apply automatic rotation (size based) on whole page
# - apply manual rotation on whole page
if prefs['auto rotate from exif']:
rotation_list = [image_tools.get_implied_rotation(pixbuf)
for pixbuf in pixbuf_list]
else:
rotation_list = [0] * len(pixbuf_list)
virtual_size = [0, 0]
for i in range(pixbuf_count):
if rotation_list[i] in (90, 270):
size_list[i].reverse()
size = size_list[i]
virtual_size[distribution_axis] += size[distribution_axis]
virtual_size[alignment_axis] = max(virtual_size[alignment_axis],
size[alignment_axis])
rotation = self._get_size_rotation(*virtual_size)
rotation = (rotation + prefs['rotation']) % 360
if rotation in (90, 270):
distribution_axis, alignment_axis = alignment_axis, distribution_axis
orientation = list(orientation)
orientation.reverse()
for i in range(pixbuf_count):
size_list[i].reverse()
if rotation in (180, 270):
orientation = tools.vector_opposite(orientation)
for i in range(pixbuf_count):
rotation_list[i] = (rotation_list[i] + rotation) % 360
if prefs['vertical flip'] and rotation in (90, 270):
orientation = tools.vector_opposite(orientation)
if prefs['horizontal flip'] and rotation in (0, 180):
orientation = tools.vector_opposite(orientation)
viewport_size = () # dummy
expand_area = False
scrollbar_requests = [False] * len(self._scroll)
# Visible area size is recomputed depending on scrollbar visibility
while True:
self._show_scrollbars(scrollbar_requests)
new_viewport_size = self.get_visible_area_size()
if new_viewport_size == viewport_size:
break
viewport_size = new_viewport_size
zoom_dummy_size = list(viewport_size)
dasize = zoom_dummy_size[distribution_axis] - \
self._spacing * (pixbuf_count - 1)
if dasize <= 0:
dasize = 1
zoom_dummy_size[distribution_axis] = dasize
scaled_sizes = self.zoom.get_zoomed_size(size_list, zoom_dummy_size,
distribution_axis)
self.layout = layout.FiniteLayout(scaled_sizes,
viewport_size,
orientation,
self._spacing,
expand_area,
distribution_axis,
alignment_axis)
union_scaled_size = self.layout.get_union_box().get_size()
scrollbar_requests = map(operator.or_, scrollbar_requests,
tools.smaller(viewport_size, union_scaled_size))
if len(filter(None, scrollbar_requests)) > 1 and not expand_area:
expand_area = True
viewport_size = () # start anew
for i in range(pixbuf_count):
pixbuf_list[i] = image_tools.fit_pixbuf_to_rectangle(
pixbuf_list[i], scaled_sizes[i], rotation_list[i])
for i in range(pixbuf_count):
if prefs['horizontal flip']:
pixbuf_list[i] = pixbuf_list[i].flip(horizontal=True)
if prefs['vertical flip']:
pixbuf_list[i] = pixbuf_list[i].flip(horizontal=False)
pixbuf_list[i] = self.enhancer.enhance(pixbuf_list[i])
for i in range(pixbuf_count):
image_tools.set_from_pixbuf(self.images[i], pixbuf_list[i])
scales = tuple(map(lambda x, y: math.sqrt(tools.div(
tools.volume(x), tools.volume(y))), scaled_sizes, size_list))
resolutions = tuple(map(lambda x, y: x + [y,], size_list, scales))
if self.is_manga_mode:
resolutions = tuple(reversed(resolutions))
self.statusbar.set_resolution(resolutions)
self.statusbar.update()
smartbg = prefs['smart bg']
smartthumbbg = prefs['smart thumb bg'] and prefs['show thumbnails']
if smartbg or smartthumbbg:
bg_colour = self.imagehandler.get_pixbuf_auto_background(pixbuf_count)
if smartbg:
self.set_bg_colour(bg_colour)
if smartthumbbg:
self.thumbnailsidebar.change_thumbnail_background_color(bg_colour)
self._main_layout.window.freeze_updates()
self._main_layout.set_size(*union_scaled_size)
content_boxes = self.layout.get_content_boxes()
for i in range(pixbuf_count):
self._main_layout.move(self.images[i],
*content_boxes[i].get_position())
for i in range(pixbuf_count):
self.images[i].show()
for i in range(pixbuf_count, len(self.images)):
self.images[i].hide()
# Reset orientation so scrolling behaviour is sane.
if self.is_manga_mode:
self.layout.set_orientation(constants.MANGA_ORIENTATION)
else:
self.layout.set_orientation(constants.WESTERN_ORIENTATION)
if scroll_to is not None:
destination = (scroll_to,) * 2
if constants.SCROLL_TO_START == scroll_to:
index = constants.FIRST_INDEX
elif constants.SCROLL_TO_END == scroll_to:
index = constants.LAST_INDEX
else:
index = None
self.scroll_to_predefined(destination, index)
self._main_layout.window.thaw_updates()
else:
# Save scroll destination for when the page becomes available.
self._last_scroll_destination = scroll_to
# If the pixbuf for the current page(s) isn't available,
# hide all images to clear any old pixbufs.
# XXX How about calling self._clear_main_area?
for i in range(len(self.images)):
self.images[i].hide()
self._show_scrollbars([False] * len(self._scroll))
self._waiting_for_redraw = False
return False