|
1 |
| -from prompt_toolkit.styles import style_from_dict |
2 |
| -from prompt_toolkit.token import Token |
3 |
| -from prompt_toolkit.validation import Validator, ValidationError |
| 1 | +from PyInquirer import style_from_dict |
4 | 2 |
|
5 | 3 | custom_style_1 = style_from_dict({
|
6 |
| - Token.Separator: '#cc5454', |
7 |
| - Token.QuestionMark: '#673ab7 bold', |
8 |
| - Token.Selected: '#cc5454', # default |
9 |
| - Token.Pointer: '#673ab7 bold', |
10 |
| - Token.Instruction: '', # default |
11 |
| - Token.Answer: '#f44336 bold', |
12 |
| - Token.Question: '', |
| 4 | + "separator": '#cc5454', |
| 5 | + "questionmark": '#673ab7 bold', |
| 6 | + "selected": '#cc5454', # default |
| 7 | + "pointer": '#673ab7 bold', |
| 8 | + "instruction": '', # default |
| 9 | + "answer": '#f44336 bold', |
| 10 | + "question": '', |
13 | 11 | })
|
14 | 12 |
|
15 | 13 |
|
16 | 14 | custom_style_2 = style_from_dict({
|
17 |
| - Token.Separator: '#6C6C6C', |
18 |
| - Token.QuestionMark: '#FF9D00 bold', |
19 |
| - #Token.Selected: '', # default |
20 |
| - Token.Selected: '#5F819D', |
21 |
| - Token.Pointer: '#FF9D00 bold', |
22 |
| - Token.Instruction: '', # default |
23 |
| - Token.Answer: '#5F819D bold', |
24 |
| - Token.Question: '', |
| 15 | + "separator": '#6C6C6C', |
| 16 | + "questionmark": '#FF9D00 bold', |
| 17 | + "selected": '#5F819D', |
| 18 | + "pointer": '#FF9D00 bold', |
| 19 | + "instruction": '', # default |
| 20 | + "answer": '#5F819D bold', |
| 21 | + "question": '', |
25 | 22 | })
|
26 | 23 |
|
27 | 24 |
|
28 | 25 | custom_style_3 = style_from_dict({
|
29 |
| - Token.QuestionMark: '#E91E63 bold', |
30 |
| - Token.Selected: '#673AB7 bold', |
31 |
| - Token.Instruction: '', # default |
32 |
| - Token.Answer: '#2196f3 bold', |
33 |
| - Token.Question: '', |
| 26 | + "questionmark": '#E91E63 bold', |
| 27 | + "selected": '#673AB7 bold', |
| 28 | + "instruction": '', # default |
| 29 | + "answer": '#2196f3 bold', |
| 30 | + "question": '', |
34 | 31 | })
|
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