bktree | Keller trees in various languages | Natural Language Processing library

 by   ahupp Python Version: Current License: No License

kandi X-RAY | bktree Summary

kandi X-RAY | bktree Summary

bktree is a Python library typically used in Artificial Intelligence, Natural Language Processing applications. bktree has no bugs, it has no vulnerabilities and it has low support. However bktree build file is not available. You can download it from GitHub.

Implementation of Burkhard-Keller trees in various languages. These allow fast lookup of words within a certain distance of a query word.
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            kandi-support Support

              bktree has a low active ecosystem.
              It has 41 star(s) with 19 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              bktree has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of bktree is current.

            kandi-Quality Quality

              bktree has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              bktree does not have a standard license declared.
              Check the repository for any license declaration and review the terms closely.
              OutlinedDot
              Without a license, all rights are reserved, and you cannot use the library in your applications.

            kandi-Reuse Reuse

              bktree releases are not available. You will need to build from source code and install.
              bktree has no build file. You will be need to create the build yourself to build the component from source.
              bktree saves you 23 person hours of effort in developing the same functionality from scratch.
              It has 65 lines of code, 9 functions and 1 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed bktree and discovered the below as its top functions. This is intended to give you an instant insight into bktree implemented functionality, and help decide if they suit your requirements.
            • Query the tree for n words .
            • Initialize the tree .
            • Returns a list of words from the given distance .
            • Levenshtein distance
            • Return the maximum depth of a tree .
            • time of the function
            • Return a list of words in a dictionary
            Get all kandi verified functions for this library.

            bktree Key Features

            No Key Features are available at this moment for bktree.

            bktree Examples and Code Snippets

            No Code Snippets are available at this moment for bktree.

            Community Discussions

            QUESTION

            Convert Bit Hash to Hex and then back to Bit Hash
            Asked 2018-Jul-07 at 22:45

            I'm building a tool that helps find duplicate images. To utilize bktrees, I need to use a bit hash, however, it would be nice to compress that larger bit hash into a smaller hex hash for storage.

            The bit hash looks like this: dhash_bits = 19965419413067491224447942902196404479

            The hex hash of the bit hash look like this: dhash_hex = 0f05332d4d0b471500007722dc7300ff

            I've tried to use bin(int(dhash_hex,16)) to convert the hex hash back into the bits, but I know this isn't the right way to do it.

            What is the correct way to convert the hex hash back into the bit hash?

            Here is the function that converts the bits into hex:

            ...

            ANSWER

            Answered 2018-Jul-07 at 22:45

            Your dhash_bits is just a single integer; the corresponding dhash_hex value is also achievable with

            Source https://stackoverflow.com/questions/51227416

            QUESTION

            How to read from Path line by line into a HashMap
            Asked 2017-Feb-15 at 22:05

            Hello I'm trying to read a file (words.txt), which contains a large list of english words into a Hashmap. I'm accessing the file with Paths. My function passes in a Path that is being opened and attempts to input the contents into a HashMap. I can print all the values of the Path word by word, but I'm having trouble storing the values into a HashMap. I'm attempting to make a SpellChecker thats better than my O(n) ArrayList implementation. Before I attempt to solve it with a Trie or BKTree, I would like to solve it with a HashMap.

            Summary: How can I get the word.txt file opened with Path into a HashMap.

            My Code ...

            ANSWER

            Answered 2017-Feb-15 at 22:05

            System.out::println is a method reference and theWords.put(count++, stream) is not. Additionally as already pointed out by Boris the stream would be added to the map, not the individual words.

            A correct lambda expression could look like word -> theWords.put(count++, word) but this also won't compile due to the count variable not being effectively final, it cannot be changed inside a lambda expression.

            If the intention is to be able to just quickly look up if a particular word is contained in the dictionary file a Set would also be sufficient and the code could look like:

            Source https://stackoverflow.com/questions/42260410

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

            Vulnerabilities

            No vulnerabilities reported

            Install bktree

            You can download it from GitHub.
            You can use bktree like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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/ahupp/bktree.git

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            gh repo clone ahupp/bktree

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            git@github.com:ahupp/bktree.git

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