FuzzyMatcher | Fast fuzzy regex matcher : specify max edit distance | Regex library

 by   Genivia C++ Version: Current License: BSD-3-Clause

kandi X-RAY | FuzzyMatcher Summary

kandi X-RAY | FuzzyMatcher Summary

FuzzyMatcher is a C++ library typically used in Utilities, Regex applications. FuzzyMatcher has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

A C++ class extension of the [RE/flex] Matcher class for efficient fuzzy matching and fuzzy search with regex patterns.
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            kandi-support Support

              FuzzyMatcher has a low active ecosystem.
              It has 11 star(s) with 2 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              FuzzyMatcher has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of FuzzyMatcher is current.

            kandi-Quality Quality

              FuzzyMatcher has 0 bugs and 0 code smells.

            kandi-Security Security

              FuzzyMatcher has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              FuzzyMatcher code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              FuzzyMatcher is licensed under the BSD-3-Clause License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              FuzzyMatcher releases are not available. You will need to build from source code and install.
              Installation instructions are not available. Examples and code snippets are available.

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            FuzzyMatcher Key Features

            No Key Features are available at this moment for FuzzyMatcher.

            FuzzyMatcher Examples and Code Snippets

            No Code Snippets are available at this moment for FuzzyMatcher.

            Community Discussions

            QUESTION

            Fuzzymatcher returns NaN for best_match_score
            Asked 2021-Mar-21 at 20:29

            I'm observing odd behaviour while performing fuzzy_left_join from fuzzymatcher library. Trying to join two df, left one with 5217 records and right one with 8734, the all records with best_match_score is 71 records, which seems really odd . To achieve better results I even remove all the numbers and left only alphabetical charachters for joining columns. In the merged table the id column from the right table is NaN, which is also strange result.

            left table - column for join "amazon_s3_name". First item - limonig

            ...

            ANSWER

            Answered 2021-Mar-21 at 20:29

            You could give polyfuzz a try. Use the examples' setup, for example using TF-IDF or Bert, then run:

            Source https://stackoverflow.com/questions/66619277

            QUESTION

            Why use both conda and pip?
            Asked 2021-Feb-21 at 03:24

            In this article, the author suggests the following

            To install fuzzy matcher, I found it easier to conda install the dependencies (pandas, metaphone, fuzzywuzzy) then use pip to install fuzzymatcher. Given the computational burden of these algorithms you will want to use the compiled c components as much as possible and conda made that easiest for me.

            Can someone explain why he is suggesting to use Conda to install dependencies and then use pip to install the actual package i.e fuzzymatcher? Why can't we just use Conda for both? Also, how do we know if we are using the compiled C packages as he suggested?

            ...

            ANSWER

            Answered 2021-Feb-21 at 00:34

            For the compiled C packages, you could import a package, see where it's located, and check the package itself to see what it imports. At some point, you would read into an import of a compiled module (.so extension on *nix). There's possibly an easier way, but that may depend on at what point in the import sequence of the package the compiled module is loaded.

            Fuzzymatcher may not be available through Conda, or only an outdated version, or only a version that matches an outdated set of dependencies. Then you may end up with an out-of-date set of packages. Pip may have a more recent version of fuzzymatcher, and likely cares less (for better or worse) on the versions of various other packages in your environment. I'm not familiar with fuzzymatcher, so I can't give you an exact reason: you'd have to ask the author.

            Note that the point of that paragraph, on installing the necessary packages with Conda, is that some packages require (C) libraries (not necessary compiled packages, though these will depend on these libraries) that may not be installed by default on your system. Conda will install these for you; Pip will not.

            Source https://stackoverflow.com/questions/66297879

            QUESTION

            OperationalError: no such module: fts4 ? Also No Extensions Available in SQLite in Python
            Asked 2020-Nov-02 at 07:14

            I am trying to use fuzzymatcher, but when I run the code I get the following error:

            ...

            ANSWER

            Answered 2020-Nov-02 at 07:14

            These are the Steps I Followed & Extensions got enabled,

            Source https://stackoverflow.com/questions/64586694

            QUESTION

            Compare two date columns in pandas DataFrame to validate third column
            Asked 2020-Apr-20 at 21:36

            Background info
            I'm working on a DataFrame where I have successfully joined two different datasets of football players using fuzzymatcher. These datasets did not have keys for an exact match and instead had to be done by their names. An example match of the name column from two databases to merge as one is the following

            ...

            ANSWER

            Answered 2020-Apr-20 at 21:28

            IICU: Please Try np.where. Works as follows;

            Source https://stackoverflow.com/questions/61332263

            Community Discussions, Code Snippets contain sources that include Stack Exchange Network

            Vulnerabilities

            No vulnerabilities reported

            Install FuzzyMatcher

            You can download it from GitHub.

            Support

            To support full Unicode pattern matching, such as \p Unicode character classes, convert the regex pattern before using it as follows:.
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            https://github.com/Genivia/FuzzyMatcher.git

          • CLI

            gh repo clone Genivia/FuzzyMatcher

          • sshUrl

            git@github.com:Genivia/FuzzyMatcher.git

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