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Merge pull request #1867 from mcelrath/menu_borders...
Merge pull request #1867 from mcelrath/menu_borders Fix 1px margin bouncing of selected menu item. This fixes the margin of the active menu item to zero, so now the text doesn't shift around, even if you use larger fonts. To reproduce the original error, zoom your notebook (ctrl-mousewheel, or ctrl-+ in most browsers) and try the menu.

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test_rmagic.py
62 lines | 2.1 KiB | text/x-python | PythonLexer
import numpy as np
from IPython.core.interactiveshell import InteractiveShell
from IPython.extensions import rmagic
import nose.tools as nt
ip = get_ipython()
ip.magic('load_ext rmagic')
def test_push():
rm = rmagic.RMagics(ip)
ip.push({'X':np.arange(5), 'Y':np.array([3,5,4,6,7])})
ip.run_line_magic('Rpush', 'X Y')
np.testing.assert_almost_equal(np.asarray(rm.r('X')), ip.user_ns['X'])
np.testing.assert_almost_equal(np.asarray(rm.r('Y')), ip.user_ns['Y'])
def test_pull():
rm = rmagic.RMagics(ip)
rm.r('Z=c(11:20)')
ip.run_line_magic('Rpull', 'Z')
np.testing.assert_almost_equal(np.asarray(rm.r('Z')), ip.user_ns['Z'])
np.testing.assert_almost_equal(ip.user_ns['Z'], np.arange(11,21))
def test_Rconverter():
datapy= np.array([(1, 2.9, 'a'), (2, 3.5, 'b'), (3, 2.1, 'c')],
dtype=[('x', '<i4'), ('y', '<f8'), ('z', '|S1')])
ip.user_ns['datapy'] = datapy
ip.run_line_magic('Rpush', 'datapy')
# test to see if a copy is being made
v = ip.run_line_magic('Rget', '-d datapy')
w = ip.run_line_magic('Rget', '-d datapy')
np.testing.assert_almost_equal(w['x'], v['x'])
np.testing.assert_almost_equal(w['y'], v['y'])
nt.assert_true(np.all(w['z'] == v['z']))
np.testing.assert_equal(id(w.data), id(v.data))
nt.assert_equal(w.dtype, v.dtype)
ip.run_cell_magic('R', ' -d datar datar=datapy', '')
u = ip.run_line_magic('Rget', ' -d datar')
np.testing.assert_almost_equal(u['x'], v['x'])
np.testing.assert_almost_equal(u['y'], v['y'])
nt.assert_true(np.all(u['z'] == v['z']))
np.testing.assert_equal(id(u.data), id(v.data))
nt.assert_equal(u.dtype, v.dtype)
def test_cell_magic():
ip.push({'x':np.arange(5), 'y':np.array([3,5,4,6,7])})
snippet = '''
print(summary(a))
plot(x, y, pch=23, bg='orange', cex=2)
plot(x, x)
print(summary(x))
r = resid(a)
xc = coef(a)
'''
ip.run_cell_magic('R', '-i x,y -o r,xc a=lm(y~x)', snippet)
np.testing.assert_almost_equal(ip.user_ns['xc'], [3.2, 0.9])
np.testing.assert_almost_equal(ip.user_ns['r'], np.array([-0.2, 0.9, -1. , 0.1, 0.2]))