##// END OF EJS Templates
small doc fix in nbconvert
Matthias BUSSONNIER -
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@@ -1,110 +1,110 b''
1 1 """
2 2 Module that re-groups transformer that would be applied to ipynb files
3 3 before going through the templating machinery.
4 4
5 5 It exposes a convenient class to inherit from to access configurability.
6 6 """
7 7 #-----------------------------------------------------------------------------
8 8 # Copyright (c) 2013, the IPython Development Team.
9 9 #
10 10 # Distributed under the terms of the Modified BSD License.
11 11 #
12 12 # The full license is in the file COPYING.txt, distributed with this software.
13 13 #-----------------------------------------------------------------------------
14 14
15 15 #-----------------------------------------------------------------------------
16 16 # Imports
17 17 #-----------------------------------------------------------------------------
18 18
19 19 from ..utils.base import NbConvertBase
20 20 from IPython.utils.traitlets import Bool
21 21
22 22 #-----------------------------------------------------------------------------
23 23 # Classes and Functions
24 24 #-----------------------------------------------------------------------------
25 25
26 26 class Transformer(NbConvertBase):
27 27 """ A configurable transformer
28 28
29 29 Inherit from this class if you wish to have configurability for your
30 30 transformer.
31 31
32 32 Any configurable traitlets this class exposed will be configurable in profiles
33 33 using c.SubClassName.atribute=value
34 34
35 you can overwrite transform_cell to apply a transformation independently on each cell
36 or __call__ if you prefer your own logic. See corresponding docstring for informations.
35 you can overwrite `transform_cell` to apply a transformation independently on each cell
36 or `call` if you prefer your own logic. See corresponding docstring for informations.
37 37
38 38 Disabled by default and can be enabled via the config by
39 39 'c.YourTransformerName.enabled = True'
40 40 """
41 41
42 42 enabled = Bool(False, config=True)
43 43
44 44 def __init__(self, **kw):
45 45 """
46 46 Public constructor
47 47
48 48 Parameters
49 49 ----------
50 50 config : Config
51 51 Configuration file structure
52 52 **kw : misc
53 53 Additional arguments
54 54 """
55 55
56 56 super(Transformer, self).__init__(**kw)
57 57
58 58
59 59 def __call__(self, nb, resources):
60 60 if self.enabled:
61 61 return self.call(nb,resources)
62 62 else:
63 63 return nb, resources
64 64
65 65
66 66 def call(self, nb, resources):
67 67 """
68 68 Transformation to apply on each notebook.
69 69
70 70 You should return modified nb, resources.
71 71 If you wish to apply your transform on each cell, you might want to
72 72 overwrite transform_cell method instead.
73 73
74 74 Parameters
75 75 ----------
76 76 nb : NotebookNode
77 77 Notebook being converted
78 78 resources : dictionary
79 79 Additional resources used in the conversion process. Allows
80 80 transformers to pass variables into the Jinja engine.
81 81 """
82 82 self.log.debug("Applying transform: %s", self.__class__.__name__)
83 83 try :
84 84 for worksheet in nb.worksheets:
85 85 for index, cell in enumerate(worksheet.cells):
86 86 worksheet.cells[index], resources = self.transform_cell(cell, resources, index)
87 87 return nb, resources
88 88 except NotImplementedError:
89 89 raise NotImplementedError('should be implemented by subclass')
90 90
91 91
92 92 def transform_cell(self, cell, resources, index):
93 93 """
94 94 Overwrite if you want to apply a transformation on each cell. You
95 95 should return modified cell and resource dictionary.
96 96
97 97 Parameters
98 98 ----------
99 99 cell : NotebookNode cell
100 100 Notebook cell being processed
101 101 resources : dictionary
102 102 Additional resources used in the conversion process. Allows
103 103 transformers to pass variables into the Jinja engine.
104 104 index : int
105 105 Index of the cell being processed
106 106 """
107 107
108 108 raise NotImplementedError('should be implemented by subclass')
109 109 return cell, resources
110 110
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