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- # FuzzyMap <img src =" https://avatars.githubusercontent. com/u/108220139 " align =" right " height =" 64 " />
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+ # FuzzyMap <img src =" https://github. com/pysnippet.png " align =" right " height =" 64 " />
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[ ![ PyPI] ( https://img.shields.io/pypi/v/fuzzymap.svg )] ( https://pypi.org/project/fuzzymap/ )
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[ ![ License] ( https://img.shields.io/pypi/l/fuzzymap.svg )] ( https://github.com/pysnippet/fuzzymap/blob/master/LICENSE )
@@ -50,15 +50,9 @@ FC" matches are the same. In the above example, the `src2` is defined as `FuzzyM
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and we can get an item corresponding to the key of ` src1 ` . See the below graph demonstrating the associations of
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` FuzzyMap ` keys.
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- ``` mermaid
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- graph LR
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- src1team1[Rapid Wien - First Vienna]-->src1coefs1["{'w1': 1.93, 'x': 2.32, 'w2': 7.44}"]
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- src1team2[Al Bourj - Al Nejmeh]-->src1coefs2["{'w1': 26, 'x': 11.5, 'w2': 1.05}"]
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- src2team1[SK Rapid Wien - First Vienna FC]-->src2coefs1["{'w1': 1.97, 'x': 2.3, 'w2': 8.2}"]
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- src2team2[Bourj FC - Nejmeh SC Beirut]-->src2coefs2["{'w1': 32, 'x': 12, 'w2': 1.05}"]
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- src1team1-->src2coefs1
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- src1team2-->src2coefs2
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- ```
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+ <p align =" center " >
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+ <img src =" https://user-images.githubusercontent.com/44609997/205437148-4fb3d7bd-1fe9-4ce8-8321-d7aef9488e37.svg " height =" 400 " />
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+ </p >
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## License
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