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1 | 1 | """Tests for the line-based transformers in IPython.core.inputtransformer2 |
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2 | 2 | |
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3 | 3 | Line-based transformers are the simpler ones; token-based transformers are |
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4 | 4 | more complex. See test_inputtransformer2 for tests for token-based transformers. |
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5 | 5 | """ |
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6 | 6 | import nose.tools as nt |
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7 | 7 | |
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8 | 8 | from IPython.core import inputtransformer2 as ipt2 |
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9 | 9 | |
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10 | 10 | CELL_MAGIC = ("""\ |
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11 | 11 | %%foo arg |
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12 | 12 | body 1 |
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13 | 13 | body 2 |
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14 | 14 | """, """\ |
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15 | 15 | get_ipython().run_cell_magic('foo', 'arg', 'body 1\\nbody 2\\n') |
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16 | 16 | """) |
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17 | 17 | |
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18 | 18 | def test_cell_magic(): |
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19 | 19 | for sample, expected in [CELL_MAGIC]: |
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20 | 20 | nt.assert_equal(ipt2.cell_magic(sample.splitlines(keepends=True)), |
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21 | 21 | expected.splitlines(keepends=True)) |
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22 | 22 | |
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23 | 23 | CLASSIC_PROMPT = ("""\ |
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24 | 24 | >>> for a in range(5): |
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25 | 25 | ... print(a) |
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26 | 26 | """, """\ |
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27 | 27 | for a in range(5): |
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28 | 28 | print(a) |
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29 | 29 | """) |
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30 | 30 | |
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31 | 31 | CLASSIC_PROMPT_L2 = ("""\ |
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32 | 32 | for a in range(5): |
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33 | 33 | ... print(a) |
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34 | 34 | ... print(a ** 2) |
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35 | 35 | """, """\ |
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36 | 36 | for a in range(5): |
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37 | 37 | print(a) |
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38 | 38 | print(a ** 2) |
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39 | 39 | """) |
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40 | 40 | |
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41 | 41 | def test_classic_prompt(): |
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42 | 42 | for sample, expected in [CLASSIC_PROMPT, CLASSIC_PROMPT_L2]: |
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43 | 43 | nt.assert_equal(ipt2.classic_prompt(sample.splitlines(keepends=True)), |
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44 | 44 | expected.splitlines(keepends=True)) |
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45 | 45 | |
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46 | 46 | IPYTHON_PROMPT = ("""\ |
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47 | 47 | In [1]: for a in range(5): |
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48 | 48 | ...: print(a) |
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49 | 49 | """, """\ |
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50 | 50 | for a in range(5): |
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51 | 51 | print(a) |
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52 | 52 | """) |
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53 | 53 | |
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54 | 54 | IPYTHON_PROMPT_L2 = ("""\ |
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55 | 55 | for a in range(5): |
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56 | 56 | ...: print(a) |
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57 | 57 | ...: print(a ** 2) |
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58 | 58 | """, """\ |
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59 | 59 | for a in range(5): |
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60 | 60 | print(a) |
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61 | 61 | print(a ** 2) |
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62 | 62 | """) |
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63 | 63 | |
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64 | 64 | def test_ipython_prompt(): |
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65 | 65 | for sample, expected in [IPYTHON_PROMPT, IPYTHON_PROMPT_L2]: |
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66 | 66 | nt.assert_equal(ipt2.ipython_prompt(sample.splitlines(keepends=True)), |
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67 | 67 | expected.splitlines(keepends=True)) |
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68 | 68 | |
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69 | 69 | INDENT_SPACES = ("""\ |
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70 | 70 | if True: |
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71 | 71 | a = 3 |
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72 | 72 | """, """\ |
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73 | 73 | if True: |
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74 | 74 | a = 3 |
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75 | 75 | """) |
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76 | 76 | |
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77 | 77 | INDENT_TABS = ("""\ |
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78 | 78 | \tif True: |
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79 | 79 | \t\tb = 4 |
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80 | 80 | """, """\ |
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81 | 81 | if True: |
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82 | 82 | \tb = 4 |
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83 | 83 | """) |
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84 | 84 | |
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85 | 85 | def test_leading_indent(): |
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86 | 86 | for sample, expected in [INDENT_SPACES, INDENT_TABS]: |
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87 | 87 | nt.assert_equal(ipt2.leading_indent(sample.splitlines(keepends=True)), |
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88 | 88 | expected.splitlines(keepends=True)) |
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89 | 89 | |
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90 | 90 | LEADING_EMPTY_LINES = ("""\ |
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91 | 91 | \t |
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92 | 92 | |
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93 | 93 | if True: |
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94 | 94 | a = 3 |
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95 | 95 | |
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96 | 96 | b = 4 |
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97 | 97 | """, """\ |
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98 | 98 | if True: |
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99 | 99 | a = 3 |
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100 | 100 | |
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101 | 101 | b = 4 |
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102 | 102 | """) |
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103 | 103 | |
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104 | 104 | ONLY_EMPTY_LINES = ("""\ |
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105 | 105 | \t |
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106 | 106 | |
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107 | 107 | """, """\ |
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108 | 108 | \t |
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109 | 109 | |
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110 | 110 | """) |
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111 | 111 | |
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112 | def leading_empty_lines(): | |
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112 | def test_leading_empty_lines(): | |
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113 | 113 | for sample, expected in [LEADING_EMPTY_LINES, ONLY_EMPTY_LINES]: |
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114 | 114 | nt.assert_equal( |
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115 | 115 | ipt2.leading_empty_lines(sample.splitlines(keepends=True)), |
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116 | 116 | expected.splitlines(keepends=True)) |
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