def test_main():
# This takes about n/3 seconds to run (about n/3 clumps of tasks, times
# about 1 second per clump).
global numtasks
numtasks = 10
# no more than 3 of the 10 can run at once
global sema
sema = _threading.BoundedSemaphore(value=3)
global mutex
mutex = _threading.RLock()
global running
running = 0
global threads
threads = []
starttasks()
if verbose:
print 'waiting for all tasks to complete'
for t in threads:
t.join()
if verbose:
print 'all tasks done'
def __init__(self, codec, transport, lock=None):
self.__codec = codec
self.__transport = transport
if lock is None:
lock = dummy_threading.RLock()
self.__lock = lock
def setUp(self):
self.numtasks = 10
global sema
sema = _threading.BoundedSemaphore(value=3)
global mutex
mutex = _threading.RLock()
global running
running = 0
self.threads = []
def __setstate__(self, state):
for (k, v) in state.iteritems():
self.__dict__[k] = v
lock = state.get("_lock", None)
if lock is not None:
if lock:
self._lock = threading.RLock()
else:
self._lock = dummy_threading.RLock()
def __init__(self, thread_synchronize=False):
"""The base class for Filesystem objects.
thread_synconize -- If True, a lock object will be created for the
object, otherwise a dummy lock will be used.
"""
if thread_synchronize:
self._lock = threading.RLock()
else:
self._lock = dummy_threading.RLock()
def __setstate__(self, state):
"""Unlike a normal CookieJar, this class is pickleable."""
self.__dict__.update(state)
if '_cookies_lock' not in self.__dict__:
self._cookies_lock = threading.RLock()
def __init__(self, policy=None):
if policy is None:
policy = DefaultCookiePolicy()
self._policy = policy
self._cookies = {}
self._cookies_lock = dummy_threading.RLock()
def update_event(self, inp=-1):
self.set_output_val(0, dummy_threading.RLock())
class RendererAgg(RendererBase):
"""
The renderer handles all the drawing primitives using a graphics
context instance that controls the colors/styles
"""
# we want to cache the fonts at the class level so that when
# multiple figures are created we can reuse them. This helps with
# a bug on windows where the creation of too many figures leads to
# too many open file handles. However, storing them at the class
# level is not thread safe. The solution here is to let the
# FigureCanvas acquire a lock on the fontd at the start of the
# draw, and release it when it is done. This allows multiple
# renderers to share the cached fonts, but only one figure can
# draw at time and so the font cache is used by only one
# renderer at a time.
lock = threading.RLock()
def __init__(self, width, height, dpi):
RendererBase.__init__(self)
self.dpi = dpi
self.width = width
self.height = height
self._renderer = _RendererAgg(int(width), int(height), dpi)
self._filter_renderers = []
self._update_methods()
self.mathtext_parser = MathTextParser('Agg')
self.bbox = Bbox.from_bounds(0, 0, self.width, self.height)
def __getstate__(self):
# We only want to preserve the init keywords of the Renderer.
# Anything else can be re-created.
return {'width': self.width, 'height': self.height, 'dpi': self.dpi}
def __setstate__(self, state):
self.__init__(state['width'], state['height'], state['dpi'])
def _update_methods(self):
self.draw_gouraud_triangle = self._renderer.draw_gouraud_triangle
self.draw_gouraud_triangles = self._renderer.draw_gouraud_triangles
self.draw_image = self._renderer.draw_image
self.draw_markers = self._renderer.draw_markers
self.draw_path_collection = self._renderer.draw_path_collection
self.draw_quad_mesh = self._renderer.draw_quad_mesh
self.copy_from_bbox = self._renderer.copy_from_bbox
self.get_content_extents = self._renderer.get_content_extents
def tostring_rgba_minimized(self):
extents = self.get_content_extents()
bbox = [[extents[0], self.height - (extents[1] + extents[3])],
[extents[0] + extents[2], self.height - extents[1]]]
region = self.copy_from_bbox(bbox)
return np.array(region), extents
def draw_path(self, gc, path, transform, rgbFace=None):
# docstring inherited
nmax = rcParams['agg.path.chunksize'] # here at least for testing
npts = path.vertices.shape[0]
if (nmax > 100 and npts > nmax and path.should_simplify
and rgbFace is None and gc.get_hatch() is None):
nch = np.ceil(npts / nmax)
chsize = int(np.ceil(npts / nch))
i0 = np.arange(0, npts, chsize)
i1 = np.zeros_like(i0)
i1[:-1] = i0[1:] - 1
i1[-1] = npts
for ii0, ii1 in zip(i0, i1):
v = path.vertices[ii0:ii1, :]
c = path.codes
if c is not None:
c = c[ii0:ii1]
c[0] = Path.MOVETO # move to end of last chunk
p = Path(v, c)
try:
self._renderer.draw_path(gc, p, transform, rgbFace)
except OverflowError:
raise OverflowError("Exceeded cell block limit (set "
"'agg.path.chunksize' rcparam)")
else:
try:
self._renderer.draw_path(gc, path, transform, rgbFace)
except OverflowError:
raise OverflowError("Exceeded cell block limit (set "
"'agg.path.chunksize' rcparam)")
def draw_mathtext(self, gc, x, y, s, prop, angle):
"""
Draw the math text using matplotlib.mathtext
"""
ox, oy, width, height, descent, font_image, used_characters = \
self.mathtext_parser.parse(s, self.dpi, prop)
xd = descent * sin(radians(angle))
yd = descent * cos(radians(angle))
x = np.round(x + ox + xd)
y = np.round(y - oy + yd)
self._renderer.draw_text_image(font_image, x, y + 1, angle, gc)
def draw_text(self, gc, x, y, s, prop, angle, ismath=False, mtext=None):
# docstring inherited
if ismath:
return self.draw_mathtext(gc, x, y, s, prop, angle)
flags = get_hinting_flag()
font = self._get_agg_font(prop)
if font is None:
return None
if len(s) == 1 and ord(s) > 127:
font.load_char(ord(s), flags=flags)
else:
# We pass '0' for angle here, since it will be rotated (in raster
# space) in the following call to draw_text_image).
font.set_text(s, 0, flags=flags)
font.draw_glyphs_to_bitmap(antialiased=rcParams['text.antialiased'])
d = font.get_descent() / 64.0
# The descent needs to be adjusted for the angle.
xo, yo = font.get_bitmap_offset()
xo /= 64.0
yo /= 64.0
xd = -d * sin(radians(angle))
yd = d * cos(radians(angle))
self._renderer.draw_text_image(font, np.round(x - xd + xo),
np.round(y + yd + yo) + 1, angle, gc)
def get_text_width_height_descent(self, s, prop, ismath):
# docstring inherited
if ismath in ["TeX", "TeX!"]:
# todo: handle props
texmanager = self.get_texmanager()
fontsize = prop.get_size_in_points()
w, h, d = texmanager.get_text_width_height_descent(s,
fontsize,
renderer=self)
return w, h, d
if ismath:
ox, oy, width, height, descent, fonts, used_characters = \
self.mathtext_parser.parse(s, self.dpi, prop)
return width, height, descent
flags = get_hinting_flag()
font = self._get_agg_font(prop)
font.set_text(s, 0.0, flags=flags)
w, h = font.get_width_height() # width and height of unrotated string
d = font.get_descent()
w /= 64.0 # convert from subpixels
h /= 64.0
d /= 64.0
return w, h, d
def draw_tex(self, gc, x, y, s, prop, angle, ismath='TeX!', mtext=None):
# docstring inherited
# todo, handle props, angle, origins
size = prop.get_size_in_points()
texmanager = self.get_texmanager()
Z = texmanager.get_grey(s, size, self.dpi)
Z = np.array(Z * 255.0, np.uint8)
w, h, d = self.get_text_width_height_descent(s, prop, ismath)
xd = d * sin(radians(angle))
yd = d * cos(radians(angle))
x = np.round(x + xd)
y = np.round(y + yd)
self._renderer.draw_text_image(Z, x, y, angle, gc)
def get_canvas_width_height(self):
# docstring inherited
return self.width, self.height
def _get_agg_font(self, prop):
"""
Get the font for text instance t, caching for efficiency
"""
fname = findfont(prop)
font = get_font(fname)
font.clear()
size = prop.get_size_in_points()
font.set_size(size, self.dpi)
return font
def points_to_pixels(self, points):
# docstring inherited
return points * self.dpi / 72
def buffer_rgba(self):
return memoryview(self._renderer)
def tostring_argb(self):
return np.asarray(self._renderer).take([3, 0, 1, 2], axis=2).tobytes()
def tostring_rgb(self):
return np.asarray(self._renderer).take([0, 1, 2], axis=2).tobytes()
def clear(self):
self._renderer.clear()
def option_image_nocomposite(self):
# docstring inherited
# It is generally faster to composite each image directly to
# the Figure, and there's no file size benefit to compositing
# with the Agg backend
return True
def option_scale_image(self):
# docstring inherited
return False
def restore_region(self, region, bbox=None, xy=None):
"""
Restore the saved region. If bbox (instance of BboxBase, or
its extents) is given, only the region specified by the bbox
will be restored. *xy* (a pair of floats) optionally
specifies the new position (the LLC of the original region,
not the LLC of the bbox) where the region will be restored.
>>> region = renderer.copy_from_bbox()
>>> x1, y1, x2, y2 = region.get_extents()
>>> renderer.restore_region(region, bbox=(x1+dx, y1, x2, y2),
... xy=(x1-dx, y1))
"""
if bbox is not None or xy is not None:
if bbox is None:
x1, y1, x2, y2 = region.get_extents()
elif isinstance(bbox, BboxBase):
x1, y1, x2, y2 = bbox.extents
else:
x1, y1, x2, y2 = bbox
if xy is None:
ox, oy = x1, y1
else:
ox, oy = xy
# The incoming data is float, but the _renderer type-checking wants
# to see integers.
self._renderer.restore_region(region, int(x1), int(y1), int(x2),
int(y2), int(ox), int(oy))
else:
self._renderer.restore_region(region)
def start_filter(self):
"""
Start filtering. It simply create a new canvas (the old one is saved).
"""
self._filter_renderers.append(self._renderer)
self._renderer = _RendererAgg(int(self.width), int(self.height),
self.dpi)
self._update_methods()
def stop_filter(self, post_processing):
"""
Save the plot in the current canvas as a image and apply
the *post_processing* function.
def post_processing(image, dpi):
# ny, nx, depth = image.shape
# image (numpy array) has RGBA channels and has a depth of 4.
...
# create a new_image (numpy array of 4 channels, size can be
# different). The resulting image may have offsets from
# lower-left corner of the original image
return new_image, offset_x, offset_y
The saved renderer is restored and the returned image from
post_processing is plotted (using draw_image) on it.
"""
width, height = int(self.width), int(self.height)
buffer, (l, b, w, h) = self.tostring_rgba_minimized()
self._renderer = self._filter_renderers.pop()
self._update_methods()
if w > 0 and h > 0:
img = np.frombuffer(buffer, np.uint8)
img, ox, oy = post_processing(
img.reshape((h, w, 4)) / 255., self.dpi)
gc = self.new_gc()
if img.dtype.kind == 'f':
img = np.asarray(img * 255., np.uint8)
img = img[::-1]
self._renderer.draw_image(gc, l + ox, height - b - h + oy, img)
