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# Portent
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- [ ![ Build status] ( https://ci.appveyor.com/api/projects/status/8g8n9bd3wh3boddb?svg=true )] ( https://ci.appveyor.com/project/jeanbern/portent )
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+ <!-- [](https://ci.appveyor.com/project/jeanbern/portent)-->
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<!-- [](https://codecov.io/gh/jeanbern/portent)-->
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- [ ![ Codacy Badge] ( https://api.codacy.com/project/badge/Grade/6dc3f766018a42f8a08b29e3afda2bc2 )] ( https://www.codacy.com/manual/jeanbern/portent?utm_source=github.com& ; utm_medium=referral& ; utm_content=jeanbern/portent& ; utm_campaign=Badge_Grade )
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+ <!-- [](https://www.codacy.com/manual/jeanbern/portent?utm_source=github.com&utm_medium=referral&utm_content=jeanbern/portent&utm_campaign=Badge_Grade)-->
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A highly optimized C# implementation of fuzzy word matching with a Directed Acyclic Word Graph.
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@@ -11,4 +11,6 @@ Eventually there will be a host of content explaining the design decisions invol
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1 . Performance enhancements in ` Lookup() `
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2 . Memory management in the ` Dawg() ` constructor
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3 . Node ordering in ` PartitionedGraphBuilder.TopologicalSort() `
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- 4 . Reduction of allocations with custom ` SuggestItemCollections `
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+ 4 . Reduction of allocations with custom ` SuggestItemCollections `
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+ This can be plugged into the previous implementation at https://github.com/jeanbern/Augury to provide word-prediction.
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