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SF.net SVN: matplotlib: [4191] trunk/matplotlib
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From: <ef...@us...> - 2007-11-09 19:37:20
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Revision: 4191
http://matplotlib.svn.sourceforge.net/matplotlib/?rev=4191&view=rev
Author: efiring
Date: 2007-11-09 11:37:15 -0800 (Fri, 09 Nov 2007)
Log Message:
-----------
Remove numerix as nx from pylab
Modified Paths:
--------------
trunk/matplotlib/examples/animation_blit_fltk.py
trunk/matplotlib/examples/annotation_demo.py
trunk/matplotlib/examples/barcode_demo.py
trunk/matplotlib/examples/broken_barh.py
trunk/matplotlib/examples/clippath_test.py
trunk/matplotlib/examples/custom_figure_class.py
trunk/matplotlib/examples/date_demo_convert.py
trunk/matplotlib/examples/dynamic_collection.py
trunk/matplotlib/examples/fill_demo2.py
trunk/matplotlib/examples/gradient_bar.py
trunk/matplotlib/examples/interp_demo.py
trunk/matplotlib/examples/lasso_demo.py
trunk/matplotlib/examples/pick_event_demo.py
trunk/matplotlib/examples/scatter_custom_symbol.py
trunk/matplotlib/examples/scatter_star_poly.py
trunk/matplotlib/examples/spy_demos.py
trunk/matplotlib/examples/xcorr_demo.py
trunk/matplotlib/examples/zoom_window.py
trunk/matplotlib/lib/matplotlib/pylab.py
Modified: trunk/matplotlib/examples/animation_blit_fltk.py
===================================================================
--- trunk/matplotlib/examples/animation_blit_fltk.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/animation_blit_fltk.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -3,7 +3,7 @@
import matplotlib
matplotlib.use('FltkAgg')
import pylab as p
-import numpy as nx
+import numpy as npy
import time
@@ -29,7 +29,7 @@
self.background = self.canvas.copy_from_bbox(self.ax.bbox)
self.canvas.restore_region(self.background)
# update the data
- line.set_ydata(nx.sin(x+self.cnt/10.0))
+ line.set_ydata(npy.sin(x+self.cnt/10.0))
# just draw the animated artist
self.ax.draw_artist(line)
# just redraw the axes rectangle
@@ -45,8 +45,8 @@
p.subplots_adjust(left=0.3, bottom=0.3) # check for flipy bugs
p.grid() # to ensure proper background restore
# create the initial line
-x = nx.arange(0,2*nx.pi,0.01)
-line, = p.plot(x, nx.sin(x), animated=True)
+x = npy.arange(0,2*npy.pi,0.01)
+line, = p.plot(x, npy.sin(x), animated=True)
p.draw()
anim=animator(ax)
Modified: trunk/matplotlib/examples/annotation_demo.py
===================================================================
--- trunk/matplotlib/examples/annotation_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/annotation_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -32,17 +32,19 @@
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
from matplotlib.patches import Ellipse
+import numpy as npy
+
if 1:
# if only one location is given, the text and xypoint being
# annotated are assumed to be the same
fig = figure()
ax = fig.add_subplot(111, autoscale_on=False, xlim=(-1,5), ylim=(-3,5))
- t = nx.arange(0.0, 5.0, 0.01)
- s = nx.cos(2*nx.pi*t)
+ t = npy.arange(0.0, 5.0, 0.01)
+ s = npy.cos(2*npy.pi*t)
line, = ax.plot(t, s, lw=3, color='purple')
ax.annotate('axes center', xy=(.5, .5), xycoords='axes fraction',
@@ -85,8 +87,8 @@
# respected
fig = figure()
ax = fig.add_subplot(111, polar=True)
- r = nx.arange(0,1,0.001)
- theta = 2*2*nx.pi*r
+ r = npy.arange(0,1,0.001)
+ theta = 2*2*npy.pi*r
line, = ax.plot(theta, r, color='#ee8d18', lw=3)
ind = 800
@@ -115,8 +117,8 @@
ax.add_artist(el)
el.set_clip_box(ax.bbox)
ax.annotate('the top',
- xy=(nx.pi/2., 10.), # theta, radius
- xytext=(nx.pi/3, 20.), # theta, radius
+ xy=(npy.pi/2., 10.), # theta, radius
+ xytext=(npy.pi/3, 20.), # theta, radius
xycoords='polar',
textcoords='polar',
arrowprops=dict(facecolor='black', shrink=0.05),
Modified: trunk/matplotlib/examples/barcode_demo.py
===================================================================
--- trunk/matplotlib/examples/barcode_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/barcode_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,14 +1,16 @@
-from pylab import figure, show, cm, nx
+from matplotlib.pyplot import figure, show, cm
+from numpy import where
+from numpy.random import rand
# the bar
-x = nx.where(nx.mlab.rand(500)>0.7, 1.0, 0.0)
+x = where(rand(500)>0.7, 1.0, 0.0)
axprops = dict(xticks=[], yticks=[])
barprops = dict(aspect='auto', cmap=cm.binary, interpolation='nearest')
fig = figure()
-# a vertical barcode
+# a vertical barcode -- this is broken at present
x.shape = len(x), 1
ax = fig.add_axes([0.1, 0.3, 0.1, 0.6], **axprops)
ax.imshow(x, **barprops)
Modified: trunk/matplotlib/examples/broken_barh.py
===================================================================
--- trunk/matplotlib/examples/broken_barh.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/broken_barh.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -2,7 +2,7 @@
"""
Make a "broken" horizontal bar plot, ie one with gaps
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
fig = figure()
ax = fig.add_subplot(111)
Modified: trunk/matplotlib/examples/clippath_test.py
===================================================================
--- trunk/matplotlib/examples/clippath_test.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/clippath_test.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,9 +1,10 @@
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
import matplotlib.transforms as transforms
from matplotlib.patches import RegularPolygon
import matplotlib.agg as agg
+from numpy import arange, sin, pi
+from numpy.random import rand
-
class ClipWindow:
def __init__(self, ax, line):
self.ax = ax
@@ -58,9 +59,9 @@
fig = figure(figsize=(8,8))
ax = fig.add_subplot(111)
-t = nx.arange(0.0, 4.0, 0.01)
-s = 2*nx.sin(2*nx.pi*8*t)
+t = arange(0.0, 4.0, 0.01)
+s = 2*sin(2*pi*8*t)
-line, = ax.plot(t, 2*(nx.mlab.rand(len(t))-0.5), 'b-')
+line, = ax.plot(t, 2*(rand(len(t))-0.5), 'b-')
clipwin = ClipWindow(ax, line)
show()
Modified: trunk/matplotlib/examples/custom_figure_class.py
===================================================================
--- trunk/matplotlib/examples/custom_figure_class.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/custom_figure_class.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,7 +1,7 @@
"""
You can pass a custom Figure constructor to figure if youy want to derive from the default Figure. This simple example creates a figure with a figure title
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
from matplotlib.figure import Figure
class MyFigure(Figure):
Modified: trunk/matplotlib/examples/date_demo_convert.py
===================================================================
--- trunk/matplotlib/examples/date_demo_convert.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/date_demo_convert.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,16 +1,16 @@
#!/usr/bin/env python
import datetime
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
from matplotlib.dates import DayLocator, HourLocator, DateFormatter, drange
+from numpy import arange
-
date1 = datetime.datetime( 2000, 3, 2)
date2 = datetime.datetime( 2000, 3, 6)
delta = datetime.timedelta(hours=6)
dates = drange(date1, date2, delta)
-y = nx.arange( len(dates)*1.0)
+y = arange( len(dates)*1.0)
fig = figure()
ax = fig.add_subplot(111)
@@ -25,7 +25,7 @@
# tick, not the base multiple
ax.xaxis.set_major_locator( DayLocator() )
-ax.xaxis.set_minor_locator( HourLocator(nx.arange(0,25,6)) )
+ax.xaxis.set_minor_locator( HourLocator(arange(0,25,6)) )
ax.xaxis.set_major_formatter( DateFormatter('%Y-%m-%d') )
ax.fmt_xdata = DateFormatter('%Y-%m-%d %H:%M:%S')
Modified: trunk/matplotlib/examples/dynamic_collection.py
===================================================================
--- trunk/matplotlib/examples/dynamic_collection.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/dynamic_collection.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,7 +1,8 @@
import random
from matplotlib.collections import RegularPolyCollection
import matplotlib.cm as cm
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
+from numpy.random import rand
fig = figure()
ax = fig.add_subplot(111, xlim=(0,1), ylim=(0,1), autoscale_on=False)
@@ -29,8 +30,8 @@
press 'a' to add a random point from the collection, 'd' to delete one
"""
if event.key=='a':
- x,y = nx.mlab.rand(2)
- color = cm.jet(nx.mlab.rand())
+ x,y = rand(2)
+ color = cm.jet(rand())
offsets.append((x,y))
facecolors.append(color)
fig.canvas.draw()
Modified: trunk/matplotlib/examples/fill_demo2.py
===================================================================
--- trunk/matplotlib/examples/fill_demo2.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/fill_demo2.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,8 +1,10 @@
-from pylab import figure, nx, show
+from matplotlib.pyplot import figure, show
+from numpy import arange, sin, pi
+
fig = figure()
ax = fig.add_subplot(111)
-t = nx.arange(0.0,3.01,0.01)
-s = nx.sin(2*nx.pi*t)
-c = nx.sin(4*nx.pi*t)
+t = arange(0.0,3.01,0.01)
+s = sin(2*pi*t)
+c = sin(4*pi*t)
ax.fill(t, s, 'b', t, c, 'g', alpha=0.2)
show()
Modified: trunk/matplotlib/examples/gradient_bar.py
===================================================================
--- trunk/matplotlib/examples/gradient_bar.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/gradient_bar.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,4 +1,6 @@
-from pylab import figure, show, nx, cm
+from matplotlib.pyplot import figure, show, cm
+from numpy import arange
+from numpy.random import rand
def gbar(ax, x, y, width=0.5, bottom=0):
X = [[.6, .6],[.7,.7]]
@@ -19,8 +21,8 @@
extent=(xmin, xmax, ymin, ymax), alpha=1)
N = 10
-x = nx.arange(N)+0.25
-y = nx.mlab.rand(N)
+x = arange(N)+0.25
+y = rand(N)
gbar(ax, x, y, width=0.7)
ax.set_aspect('normal')
show()
Modified: trunk/matplotlib/examples/interp_demo.py
===================================================================
--- trunk/matplotlib/examples/interp_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/interp_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,6 +1,9 @@
-from pylab import figure, show, nx, linspace, stineman_interp
-x = linspace(0,2*nx.pi,20);
-y = nx.sin(x); yp = None
+from matplotlib.pyplot import figure, show
+from numpy import pi, sin, linspace
+from matplotlib.mlab import stineman_interp
+
+x = linspace(0,2*pi,20);
+y = sin(x); yp = None
xi = linspace(x[0],x[-1],100);
yi = stineman_interp(xi,x,y,yp);
Modified: trunk/matplotlib/examples/lasso_demo.py
===================================================================
--- trunk/matplotlib/examples/lasso_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/lasso_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -13,7 +13,9 @@
from matplotlib.colors import colorConverter
from matplotlib.collections import RegularPolyCollection
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
+from numpy import nonzero
+from numpy.random import rand
class Datum:
colorin = colorConverter.to_rgba('red')
@@ -47,9 +49,7 @@
self.cid = self.canvas.mpl_connect('button_press_event', self.onpress)
def callback(self, verts):
- #print 'all done', verts
- #ind = matplotlib.mlab._inside_poly_deprecated(self.xys, verts)
- ind = nx.nonzero(points_inside_poly(self.xys, verts))
+ ind = nonzero(points_inside_poly(self.xys, verts))[0]
for i in range(self.Nxy):
if i in ind:
self.facecolors[i] = Datum.colorin
@@ -66,7 +66,7 @@
# acquire a lock on the widget drawing
self.canvas.widgetlock(self.lasso)
-data = [Datum(*xy) for xy in nx.mlab.rand(100, 2)]
+data = [Datum(*xy) for xy in rand(100, 2)]
fig = figure()
ax = fig.add_subplot(111, xlim=(0,1), ylim=(0,1), autoscale_on=False)
Modified: trunk/matplotlib/examples/pick_event_demo.py
===================================================================
--- trunk/matplotlib/examples/pick_event_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/pick_event_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -63,23 +63,25 @@
The examples below illustrate each of these methods.
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
from matplotlib.lines import Line2D
from matplotlib.patches import Patch, Rectangle
from matplotlib.text import Text
from matplotlib.image import AxesImage
+import numpy as npy
+from numpy.random import rand
if 1: # simple picking, lines, rectangles and text
fig = figure()
ax1 = fig.add_subplot(211)
ax1.set_title('click on points, rectangles or text', picker=True)
ax1.set_ylabel('ylabel', picker=True, bbox=dict(facecolor='red'))
- line, = ax1.plot(nx.mlab.rand(100), 'o', picker=5) # 5 points tolerance
+ line, = ax1.plot(rand(100), 'o', picker=5) # 5 points tolerance
# pick the rectangle
ax2 = fig.add_subplot(212)
- bars = ax2.bar(range(10), nx.mlab.rand(10), picker=True)
+ bars = ax2.bar(range(10), rand(10), picker=True)
for label in ax2.get_xticklabels(): # make the xtick labels pickable
label.set_picker(True)
@@ -90,7 +92,7 @@
xdata = thisline.get_xdata()
ydata = thisline.get_ydata()
ind = event.ind
- print 'onpick1 line:', zip(nx.take(xdata, ind), nx.take(ydata, ind))
+ print 'onpick1 line:', zip(npy.take(xdata, ind), npy.take(ydata, ind))
elif isinstance(event.artist, Rectangle):
patch = event.artist
print 'onpick1 patch:', patch.get_verts()
@@ -122,12 +124,12 @@
xdata = line.get_xdata()
ydata = line.get_ydata()
maxd = 0.05
- d = nx.sqrt((xdata-mouseevent.xdata)**2. + (ydata-mouseevent.ydata)**2.)
+ d = npy.sqrt((xdata-mouseevent.xdata)**2. + (ydata-mouseevent.ydata)**2.)
- ind = nx.nonzero(nx.less_equal(d, maxd))
+ ind = npy.nonzero(npy.less_equal(d, maxd))
if len(ind):
- pickx = nx.take(xdata, ind)
- picky = nx.take(ydata, ind)
+ pickx = npy.take(xdata, ind)
+ picky = npy.take(ydata, ind)
props = dict(ind=ind, pickx=pickx, picky=picky)
return True, props
else:
@@ -139,16 +141,16 @@
fig = figure()
ax1 = fig.add_subplot(111)
ax1.set_title('custom picker for line data')
- line, = ax1.plot(nx.mlab.rand(100), nx.mlab.rand(100), 'o', picker=line_picker)
+ line, = ax1.plot(rand(100), rand(100), 'o', picker=line_picker)
fig.canvas.mpl_connect('pick_event', onpick2)
if 1: # picking on a scatter plot (matplotlib.collections.RegularPolyCollection)
- x, y, c, s = nx.mlab.rand(4, 100)
+ x, y, c, s = rand(4, 100)
def onpick3(event):
ind = event.ind
- print 'onpick3 scatter:', ind, nx.take(x, ind), nx.take(y, ind)
+ print 'onpick3 scatter:', ind, npy.take(x, ind), npy.take(y, ind)
fig = figure()
ax1 = fig.add_subplot(111)
@@ -159,10 +161,10 @@
if 1: # picking images (matplotlib.image.AxesImage)
fig = figure()
ax1 = fig.add_subplot(111)
- im1 = ax1.imshow(nx.rand(10,5), extent=(1,2,1,2), picker=True)
- im2 = ax1.imshow(nx.rand(5,10), extent=(3,4,1,2), picker=True)
- im3 = ax1.imshow(nx.rand(20,25), extent=(1,2,3,4), picker=True)
- im4 = ax1.imshow(nx.rand(30,12), extent=(3,4,3,4), picker=True)
+ im1 = ax1.imshow(rand(10,5), extent=(1,2,1,2), picker=True)
+ im2 = ax1.imshow(rand(5,10), extent=(3,4,1,2), picker=True)
+ im3 = ax1.imshow(rand(20,25), extent=(1,2,3,4), picker=True)
+ im4 = ax1.imshow(rand(30,12), extent=(3,4,3,4), picker=True)
ax1.axis([0,5,0,5])
def onpick4(event):
Modified: trunk/matplotlib/examples/scatter_custom_symbol.py
===================================================================
--- trunk/matplotlib/examples/scatter_custom_symbol.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/scatter_custom_symbol.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,12 +1,14 @@
-from pylab import figure, nx, show
+from matplotlib.pyplot import figure, show
+from numpy import arange, pi, cos, sin, pi
+from numpy.random import rand
# unit area ellipse
rx, ry = 3., 1.
-area = rx * ry * nx.pi
-theta = nx.arange(0, 2*nx.pi+0.01, 0.1)
-verts = zip(rx/area*nx.cos(theta), ry/area*nx.sin(theta))
+area = rx * ry * pi
+theta = arange(0, 2*pi+0.01, 0.1)
+verts = zip(rx/area*cos(theta), ry/area*sin(theta))
-x,y,s,c = nx.mlab.rand(4, 30)
+x,y,s,c = rand(4, 30)
s*= 10**2.
fig = figure()
Modified: trunk/matplotlib/examples/scatter_star_poly.py
===================================================================
--- trunk/matplotlib/examples/scatter_star_poly.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/scatter_star_poly.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,7 +1,7 @@
import pylab
-x = pylab.nx.mlab.rand(10)
-y = pylab.nx.mlab.rand(10)
+x = pylab.rand(10)
+y = pylab.rand(10)
pylab.subplot(321)
pylab.scatter(x,y,s=80,marker=">")
Modified: trunk/matplotlib/examples/spy_demos.py
===================================================================
--- trunk/matplotlib/examples/spy_demos.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/spy_demos.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -2,7 +2,8 @@
Plot the sparsity pattern of arrays
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
+import numpy
fig = figure()
ax1 = fig.add_subplot(221)
@@ -10,7 +11,7 @@
ax3 = fig.add_subplot(223)
ax4 = fig.add_subplot(224)
-x = nx.mlab.randn(20,20)
+x = numpy.random.randn(20,20)
x[5] = 0.
x[:,12] = 0.
Modified: trunk/matplotlib/examples/xcorr_demo.py
===================================================================
--- trunk/matplotlib/examples/xcorr_demo.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/xcorr_demo.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -1,6 +1,7 @@
-from pylab import figure, show, nx
+from matplotlib.pylab import figure, show
+import numpy
-x,y = nx.mlab.randn(2,100)
+x,y = numpy.random.randn(2,100)
fig = figure()
ax1 = fig.add_subplot(211)
ax1.xcorr(x, y, usevlines=True, maxlags=50, normed=True)
@@ -13,3 +14,4 @@
ax2.axhline(0, color='black', lw=2)
show()
+
Modified: trunk/matplotlib/examples/zoom_window.py
===================================================================
--- trunk/matplotlib/examples/zoom_window.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/examples/zoom_window.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -9,15 +9,17 @@
Note the diameter of the circles in the scatter are defined in
points**2, so their size is independent of the zoom
"""
-from pylab import figure, show, nx
+from matplotlib.pyplot import figure, show
+import numpy
figsrc = figure()
figzoom = figure()
axsrc = figsrc.add_subplot(111, xlim=(0,1), ylim=(0,1), autoscale_on=False)
-axzoom = figzoom.add_subplot(111, xlim=(0.45,0.55), ylim=(0.4,.6), autoscale_on=False)
+axzoom = figzoom.add_subplot(111, xlim=(0.45,0.55), ylim=(0.4,.6),
+ autoscale_on=False)
axsrc.set_title('Click to zoom')
axzoom.set_title('zoom window')
-x,y,s,c = nx.mlab.rand(4,200)
+x,y,s,c = numpy.random.rand(4,200)
s *= 200
Modified: trunk/matplotlib/lib/matplotlib/pylab.py
===================================================================
--- trunk/matplotlib/lib/matplotlib/pylab.py 2007-11-09 19:23:42 UTC (rev 4190)
+++ trunk/matplotlib/lib/matplotlib/pylab.py 2007-11-09 19:37:15 UTC (rev 4191)
@@ -202,8 +202,13 @@
from cbook import flatten, is_string_like, exception_to_str, popd, \
silent_list, iterable, enumerate, dedent
-import matplotlib.numerix as nx
import numpy as npy
+# The masked array namespace is brought in as ma; getting
+# this from numerix allows one to select either numpy.ma or
+# Pierre G-M's maskedarray implementation, which may
+# replace the present numpy.ma implementation in a future
+# numpy release.
+from matplotlib.numerix import npyma as ma
from matplotlib import mpl # pulls in most modules
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