fuzzy | Spell checking and fuzzy search suggestion written in Go | Search Engine library

 by   sajari Go Version: Current License: MIT

kandi X-RAY | fuzzy Summary

kandi X-RAY | fuzzy Summary

fuzzy is a Go library typically used in Database, Search Engine applications. fuzzy has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. You can download it from GitHub.

Fuzzy is a very fast spell checker and query suggester written in Golang.
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              fuzzy has a low active ecosystem.
              It has 304 star(s) with 47 fork(s). There are 17 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 2 open issues and 13 have been closed. On average issues are closed in 14 days. There are 3 open pull requests and 0 closed requests.
              It has a neutral sentiment in the developer community.
              The latest version of fuzzy is current.

            kandi-Quality Quality

              fuzzy has no bugs reported.

            kandi-Security Security

              fuzzy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              fuzzy is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              fuzzy 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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            fuzzy Key Features

            No Key Features are available at this moment for fuzzy.

            fuzzy Examples and Code Snippets

            Search for products by fuzzy query
            javadot img1Lines of Code : 15dot img1License : Permissive (MIT License)
            copy iconCopy
            public List searchProductNameByFuzzyQuery(String text) {
            
                    Query fuzzyQuery = getQueryBuilder()
                        .keyword()
                        .fuzzy()
                        .withEditDistanceUpTo(2)
                        .withPrefixLength(0)
                        .onField("productName  

            Community Discussions

            QUESTION

            Why does the delete[] syntax exist in C++?
            Asked 2021-Jun-14 at 11:55

            Every time somebody asks a question about delete[] on here, there is always a pretty general "that's how C++ does it, use delete[]" kind of response. Coming from a vanilla C background what I don't understand is why there needs to be a different invocation at all.

            With malloc()/free() your options are to get a pointer to a contiguous block of memory and to free a block of contiguous memory. Something in implementation land comes along and knows what size the block you allocated was based on the base address, for when you have to free it.

            There is no function free_array(). I've seen some crazy theories on other questions tangentially related to this, such as calling delete ptr will only free the top of the array, not the whole array. Or the more correct, it is not defined by the implementation. And sure... if this was the first version of C++ and you made a weird design choice that makes sense. But why with $PRESENT_YEAR's standard of C++ has it not been overloaded???

            It seems to be the only extra bit that C++ adds is going through the array and calling destructors, and I think maybe this is the crux of it, and it literally is using a separate function to save us a single runtime length lookup, or nullptr at end of the list in exchange for torturing every new C++ programmer or programmer who had a fuzzy day and forgot that there is a different reserve word.

            Can someone please clarify once and for all if there is a reason besides "that's what the standard says and nobody questions it"?

            ...

            ANSWER

            Answered 2021-May-19 at 19:55

            Objects in C++ often have destructors that need to run at the end of their lifetime. delete[] makes sure the destructors of each element of the array are called. But doing this has unspecified overhead, while delete does not. One for arrays, which pays the overhead and one for single objects which does not.

            In order to only have one version, an implementation would need a mechanism for tracking extra information about every pointer. But one of the founding principles of C++ is that the user shouldn't be forced to pay a cost that they don't absolutely have to.

            Always delete what you new and always delete[] what you new[]. But in modern C++, new and new[] are generally not used anymore. Use std::make_unique, std::make_shared, std::vector or other more expressive and safer alternatives.

            Source https://stackoverflow.com/questions/67578185

            QUESTION

            neovim is transparent but the auto copplete window is pink.how to make it semi transparent (black) too?
            Asked 2021-Jun-09 at 19:27

            i use parrot security as my daily distro. its mate terminal is transparent so is vim .but i wanted to get auto complete and used some plugins.auto complete window appears to be in pink which looks really ugly in semi transparent black background.i changed the theme and it was fixed but so was gone vim transparency .

            in short word (1)i have to keep the default (2)i have to keep transparent vim (3)i have to change the auto complete window from pink to semi transparent black

            here is my init.vimrc

            ...

            ANSWER

            Answered 2021-Jun-09 at 19:27

            If you are using neovim there is an option called :h pumblend which can be used to change the transparency of the popup menu.

            Are you sure gruvbox caused your vim to lose transparency? I am not sure if vim is able to change a terminal emulator's transparency. I or someone else might be able to advise you better if you post pictures of what has changed.

            Source https://stackoverflow.com/questions/67898068

            QUESTION

            Efficient way of creating a new variable via fuzzy string matching and grouped summarization in R
            Asked 2021-Jun-08 at 21:12

            I'm trying to use fuzzy string matching to convert strings to specific ids and perform grouped summarization using dplyr. The basic idea is combining imperfect gene sequences into a single gene name via a dictionary lookup approach and counting how many times the gene is detected. This way, counts for sequences aaaaaa and aaaxaa match to gene1 and get added together.

            I can do what I want using for and if statements via a row-by-row comparison of the raw data against the dictionary but I find this will be inefficient when I scale up (raw data files have 15k rows on average, the dictionary has 200 rows). Please see my solution below I'm trying to improve and let me know if you can think of a more efficient and elegant way of doing this.

            ...

            ANSWER

            Answered 2021-Jun-08 at 21:12

            perhaps a fuzzyjoin would be more easier

            Source https://stackoverflow.com/questions/67894571

            QUESTION

            pandas fillna with fuzzy search on col names
            Asked 2021-Jun-08 at 05:43

            i have a dataframe with many col names having _paid as part of the name (eg. A_paid, B_paid. etc). I need to fill miss values in any col that has _paid as part of the name. (note: i am not allowed to replace missing value in other cols with no _paid as part of the name). I tried to use .fillna(), but not sure how to make it do fuzzy search on col names.

            ...

            ANSWER

            Answered 2021-Jun-08 at 05:43

            If you want to select any column that has _paid in it:

            Source https://stackoverflow.com/questions/67881920

            QUESTION

            libiconv: Safe estimation of target bytes-length when converting between UTF-8/UTF-16/UTF-32?
            Asked 2021-Jun-07 at 08:03

            There's tons of info about Unicode codeunits, codepoints, etc, but I'm still a bit fuzzy about converting combined characters, graphemes, etc using byte-streams (required by libiconv).

            Currently I'm only interested in converting between UTF-8/UTF-16/UTF-32 using libconv's iconv(), which expects the byte-lengths of both source and destination buffers as arguments.

            Question: Is there a safe way to calculate fast the maximum possible bytes-length of the target buffer, based on the already known bytes-length of the source buffer?

            Let's say for example, converting from u16buf to u8buf with a known u16byteslen (excluding 0x0000-termination if any). In the worst-case scenario, there will be 1 two-byte unit per codepoint in the UTF-16 source buffer, corresponding to a 4 single-byte units per codepoint in the UTF-8 target buffer. Is that enough to safely assume that the UTF-8 target buffer can never be longer than 2 * u16lenbytes?

            I've actually experimented with that and seems to work, but I'm not sure if I'm missing corner cases involving combined characters and grapheme clusters. My doubts come from my ignorance regarding how those things are converted across these 3 different encodings. I mean, is it possible for a grapheme to need say 3 UTF-16 codepoints but like 10 UTF-8 codepoints when converted?

            In that case, doubling u16lenbytes wouldn't suffice, right? And if so, is there any other straight forward way to pre-calc the maximum length of the target buffer?

            ...

            ANSWER

            Answered 2021-Jun-05 at 20:34

            Question: Is there a safe way to calculate fast the maximum possible bytes-length of the target buffer, based on the already known bytes-length of the source buffer?

            Yes.

            to UTF-8 to UTF-16 to UTF-32 from UTF-8 ×2 ×4 from UTF-16 ×1 ½ ×1 from UTF-32 ×1 ×1

            You can calculate this yourself by breaking it down by code-point ranges. Pick a source and destination column, and find the largest ratio.

            Code Point UTF-8 length UTF-16 length UTF-32 length 0000…007F 1 2 4 0080…07FF 2 2 4 0800…FFFF 3 2 4 10000…10FFFF 4 4 4

            Combining characters and grapheme clusters do not affect anything. Encodings simply convert a sequence of Unicode scalar values to bytes, and they are very straightforward.

            Note that you will need to add two extra bytes when converting to UTF-16, and four extra bytes when converting to UTF-32, since these encodings will add a BOM U+FEFF to the beginning of the text. (If you don’t want that, use one of the BOM-less encodings, like UTF-16BE or UTF-16LE.)

            I mean, is it possible for a grapheme to need say 3 UTF-16 codepoints but like 10 UTF-8 codepoints when converted?

            No. That would imply some other kind of conversion, like a decomposition. The number of scalar values input is equal to the number of scalar values output, with the possible addition of U+FEFF byte order mark at the beginning. (I say "scalar value" instead of "code point", because "scalar value" excludes surrogates. If you are transcoding text which might have errors or might be garbage data, it doesn’t change the size of the result.)

            Source https://stackoverflow.com/questions/67838527

            QUESTION

            Understanding constraints in agrep fuzzy matching in R
            Asked 2021-Jun-05 at 19:14

            This seems really simple but for some reason, I don't understand the behavior of agrep fuzzy matching involving substitutions. Two substitutions produce a match as expected when all=2 is specified, but not when substitutions=2. Why is this?

            ...

            ANSWER

            Answered 2021-Jun-05 at 19:14

            all is an upper limit which always applies, regardless of other max.distance controls (other than cost). It defaults to 10%.

            Source https://stackoverflow.com/questions/67828545

            QUESTION

            How can I move the legend from the plot to the appropriate place?
            Asked 2021-Jun-05 at 04:44

            membership function membership function in fuzzy algorithm and the place of the legend is wrong how I can change it's place

            ...

            ANSWER

            Answered 2021-Jun-05 at 04:44

            For your image if you use matplotlib, using loc='upper center' or loc='best'

            Source https://stackoverflow.com/questions/67846159

            QUESTION

            how to split dataframe cells using delimiter into different dataframes. with conditions
            Asked 2021-Jun-03 at 22:26

            There are other questions on the same topic and they helped but I have an extra twist.

            I have a dataframe with multiple values in each (but not all) cells.

            ...

            ANSWER

            Answered 2021-Jun-03 at 21:45

            Use str.split + concat + stack to get the data in a more usable format:

            Source https://stackoverflow.com/questions/67828855

            QUESTION

            SyntaxError: Cannot use import statement outside a module error is thrown while using mocha to run tests
            Asked 2021-Jun-03 at 11:08

            The tests in my project were working fine when I first started using them, currently they have stopped working at all.

            Whenever I use the test command the following error is thrown:

            ...

            ANSWER

            Answered 2021-Jun-03 at 11:08

            I encountered the same problem.

            Apparently, the csv-writer package contains tests, like array.test.ts specified in your stack trace.

            This is your script used for running the mocha tests:

            Source https://stackoverflow.com/questions/67374553

            QUESTION

            Get rows with same value combination in seperate columns using pandas
            Asked 2021-Jun-01 at 08:29

            I am trying to perform entity matching for the first time and want to "get rid" of the obvious matches first, so I can focus working with the fuzzy cases. I have a dataset of almost 600.000 entries containing information about clothes.

            What I need is all different prices of the suppliers that have the same id, color and size.

            Here is an example:

            ...

            ANSWER

            Answered 2021-May-31 at 11:30

            My idea is two concatenate two dataframes - one dataframe without duplicates and dataframes where we have prices for each type. I believe it could be done by using fewer lines, but I will give you my solution as there are no other:

            Source https://stackoverflow.com/questions/67772345

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

            Vulnerabilities

            No vulnerabilities reported

            Install fuzzy

            You can download it from GitHub.

            Support

            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
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            https://github.com/sajari/fuzzy.git

          • CLI

            gh repo clone sajari/fuzzy

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            git@github.com:sajari/fuzzy.git

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