hashedindex | Python package providing an Inverted Index | Natural Language Processing library

 by   MichaelAquilina Python Version: 0.10.0 License: BSD-3-Clause

kandi X-RAY | hashedindex Summary

kandi X-RAY | hashedindex Summary

hashedindex is a Python library typically used in Artificial Intelligence, Natural Language Processing, Numpy applications. hashedindex has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install hashedindex' or download it from GitHub, PyPI.

Python package providing an Inverted Index implementation using dictionaries
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            kandi-support Support

              hashedindex has a low active ecosystem.
              It has 26 star(s) with 9 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 2 open issues and 3 have been closed. On average issues are closed in 376 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of hashedindex is 0.10.0

            kandi-Quality Quality

              hashedindex has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              hashedindex 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

              hashedindex releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              It has 807 lines of code, 126 functions and 7 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed hashedindex and discovered the below as its top functions. This is intended to give you an instant insight into hashedindex implemented functionality, and help decide if they suit your requirements.
            • Tokenize text
            • Get n - grams from a token list
            • Check if text is a numeric number
            • Validates the stemmer object
            • Yield tokens from text
            • Stem a value
            • Combine two lists
            • Return a list of all terms
            Get all kandi verified functions for this library.

            hashedindex Key Features

            No Key Features are available at this moment for hashedindex.

            hashedindex Examples and Code Snippets

            No Code Snippets are available at this moment for hashedindex.

            Community Discussions

            QUESTION

            When does a HashTable / Python dict stop probing?
            Asked 2022-Apr-07 at 18:37

            In Java I'm building a datastructure that is supposed to resemble dictionaries in Python. (As far as I understand this is called a "HashTable" in java context.)

            I have read the following Python documentation in order to arrive at the probing function (as I wished to prevent using linear probing)

            Now I have come to a point where Im trying to retrieve an element from my "dict" that doesn't exist in its internal array. It seems that my probing function will go in circles endlessly searching for the non-existent element, and i therefor wish to break and return null at some point.

            When should I stop probing and return null?

            My current solution is to count every probe. Once probeCount > size I break. This however, seems like a poor solution as the time complexity to determine that an element is not present would be O(n), n being size of my array.

            The following in my probing code:

            ...

            ANSWER

            Answered 2022-Apr-07 at 18:37

            A Python dict stops probing once it finds an empty, non-"dummy" slot - one that is not holding a key, and is not holding a "dummy" marker that indicates a key was deleted there.

            The dict implementation ensures that at least one such slot always exists (and usually many more), and the probe sequence is guaranteed to check all slots eventually, so this guarantees termination.

            Source https://stackoverflow.com/questions/71787237

            QUESTION

            Program didnt exit/terminated correctly (CS50 Speller)
            Asked 2022-Jan-05 at 09:30

            The program runs a spellcheck on a text paired with a given dictionary(CS50: Pset5 Speller). The dictionary file is in form of a txt file, which is loaded into memory in the form of a hash table.

            The check function takes an argument of a word that is read from the text file. the word is hashed and compared to any elements exist in a given individual hash table. If a word exist it returns true, else false.

            The Hash is hashing any given word, while Load function is loading words from the dictionary to corresponding hash index of the word in the hash table. Load Function takes a pointer to the dictionary as an argument.

            Size function is measuring the size of the dictionary by pointing to existing hash table.

            Unload function reiterates over each possible index of the hash table while simultaneously calling for ClearNodes which checks for contents in the linked list that is connected to the hash table.

            I've tried resizing the texts and dictionaries to smaller sizes, and also i tried to place my breakpoint before and after individual function is called (since somehow placing the breakpoint after main() loads the dictionary and Finished checking all the words in a given text , then in the debugger manually pressing step-over until main() is finished, managed to make the program terminated normally). With smaller sizes dictionary and texts i didnt found any resemblance that causes the function to not return a value. Bear in mind the unload function is assume to always return true at this point and it isnt finished.

            Minimum Reproducible Example

            Help is greatly appreciated.

            ...

            ANSWER

            Answered 2022-Jan-05 at 09:09

            Your question has at least the following bugs in the function load:

            The following block is wrong:

            Source https://stackoverflow.com/questions/70587699

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

            Vulnerabilities

            No vulnerabilities reported

            Install hashedindex

            You can install using 'pip install hashedindex' or download it from GitHub, PyPI.
            You can use hashedindex 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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            Install
          • PyPI

            pip install hashedindex

          • CLONE
          • HTTPS

            https://github.com/MichaelAquilina/hashedindex.git

          • CLI

            gh repo clone MichaelAquilina/hashedindex

          • sshUrl

            git@github.com:MichaelAquilina/hashedindex.git

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