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import pandas as pd | |
from typing import List, Dict | |
patterns = [ | |
'A B C D E F G H I J K L M', | |
'1 2 3 4 5 6 7 8 9 10 11 12', | |
'i ii iv iv v vi vii viii ix x xi xi', | |
'a b c d e f g h i j k l m', | |
'one two three four five six seven eight nine ten', | |
'q w e r t y u i o p', |
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
import pandas as pd | |
from typing import List, Dict | |
patterns = [ | |
'A B C D E F G H I J K L M', | |
'1 2 3 4 5 6 7 8 9 10 11 12', | |
'i ii iv iv v vi vii viii ix x xi xi', | |
'a b c d e f g h i j k l m', | |
'one two three four five six seven eight nine ten', | |
'q w e r t y u i o p', |
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This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
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{ | |
"nbformat": 4, | |
"nbformat_minor": 0, | |
"metadata": { | |
"colab": { | |
"name": "uncertainty.ipynb", | |
"provenance": [], | |
"collapsed_sections": [] | |
}, | |
"kernelspec": { |
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