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