"""Tests for the line-based transformers in IPython.core.inputtransformer2 Line-based transformers are the simpler ones; token-based transformers are more complex. See test_inputtransformer2 for tests for token-based transformers. """ import nose.tools as nt from IPython.core import inputtransformer2 as ipt2 CELL_MAGIC = ("""\ %%foo arg body 1 body 2 """, """\ get_ipython().run_cell_magic('foo', 'arg', 'body 1\\nbody 2\\n') """) def test_cell_magic(): for sample, expected in [CELL_MAGIC]: nt.assert_equal(ipt2.cell_magic(sample.splitlines(keepends=True)), expected.splitlines(keepends=True)) CLASSIC_PROMPT = ("""\ >>> for a in range(5): ... print(a) """, """\ for a in range(5): print(a) """) CLASSIC_PROMPT_L2 = ("""\ for a in range(5): ... print(a) ... print(a ** 2) """, """\ for a in range(5): print(a) print(a ** 2) """) def test_classic_prompt(): for sample, expected in [CLASSIC_PROMPT, CLASSIC_PROMPT_L2]: nt.assert_equal(ipt2.classic_prompt(sample.splitlines(keepends=True)), expected.splitlines(keepends=True)) IPYTHON_PROMPT = ("""\ In [1]: for a in range(5): ...: print(a) """, """\ for a in range(5): print(a) """) IPYTHON_PROMPT_L2 = ("""\ for a in range(5): ...: print(a) ...: print(a ** 2) """, """\ for a in range(5): print(a) print(a ** 2) """) def test_ipython_prompt(): for sample, expected in [IPYTHON_PROMPT, IPYTHON_PROMPT_L2]: nt.assert_equal(ipt2.ipython_prompt(sample.splitlines(keepends=True)), expected.splitlines(keepends=True)) INDENT_SPACES = ("""\ if True: a = 3 """, """\ if True: a = 3 """) INDENT_TABS = ("""\ \tif True: \t\tb = 4 """, """\ if True: \tb = 4 """) def test_leading_indent(): for sample, expected in [INDENT_SPACES, INDENT_TABS]: nt.assert_equal(ipt2.leading_indent(sample.splitlines(keepends=True)), expected.splitlines(keepends=True)) LEADING_EMPTY_LINES = ("""\ \t if True: a = 3 b = 4 """, """\ if True: a = 3 b = 4 """) ONLY_EMPTY_LINES = ("""\ \t """, """\ \t """) def test_leading_empty_lines(): for sample, expected in [LEADING_EMPTY_LINES, ONLY_EMPTY_LINES]: nt.assert_equal( ipt2.leading_empty_lines(sample.splitlines(keepends=True)), expected.splitlines(keepends=True)) CRLF_MAGIC = ([ "%%ls\r\n" ], [ "get_ipython().run_cell_magic('ls', '', '')\n" ]) def test_crlf_magic(): for sample, expected in [CRLF_MAGIC]: nt.assert_equal(ipt2.cell_magic(sample), expected)