Ents | Controller patterns with new concepts | Game Engine library

 by   ClickerMonkey Java Version: Current License: No License

kandi X-RAY | Ents Summary

kandi X-RAY | Ents Summary

Ents is a Java library typically used in Manufacturing, Utilities, Machinery, Process, Gaming, Game Engine, Unity applications. Ents has no bugs, it has no vulnerabilities and it has low support. However Ents build file is not available. You can download it from GitHub.

A hybrid of the Entity-Component-System and Model-View-Controller patterns with new concepts developed specifically for games. Ents is easy to integrate into your game, is developed to be decoupled from a graphics library, and is very memory conscious compared to similar frameworks.
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            kandi-support Support

              Ents has a low active ecosystem.
              It has 40 star(s) with 6 fork(s). There are 7 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Ents has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of Ents is current.

            kandi-Quality Quality

              Ents has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Ents 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

              Ents releases are not available. You will need to build from source code and install.
              Ents has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              Ents saves you 3968 person hours of effort in developing the same functionality from scratch.
              It has 8445 lines of code, 1020 functions and 119 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Ents and discovered the below as its top functions. This is intended to give you an instant insight into Ents implemented functionality, and help decide if they suit your requirements.
            • Main entry point
            • Run keyboard
            • Returns the next valid entity
            • Starts rendering
            • Handle an arteoid collision
            • Returns this vector
            • Creates a new Asteriskoid
            • Handles a bubble collision
            • Computes this vector by s value
            • Creates a new physics control
            • Starts the animation
            • Compares this vector with another
            • Returns a string representation of the component
            • Draws an entity
            • Draws the layer
            • Creates aster
            • Clears the system
            • Clones this layer
            • Creates a new Renderer
            • Begin drawing
            • Starts the drawing
            • Starts a line
            • Starts drawing
            • Update emitter and position
            • Draws an entity
            • Main method that starts a JFrame
            Get all kandi verified functions for this library.

            Ents Key Features

            No Key Features are available at this moment for Ents.

            Ents Examples and Code Snippets

            No Code Snippets are available at this moment for Ents.

            Community Discussions

            QUESTION

            Is possible to get dependency/pos information for entities in Spacy?
            Asked 2022-Apr-04 at 05:21

            I am working on extracting entities from scientific text (I am using scispacy) and later I will want to extract relations using hand-written rules. I have extracted entities and their character span successfully, and I can also get the pos and dependency tags for tokens and noun chunks. So I am comfortable with the two tasks separately, but I want to bring the two together and I have been stuck for a while.

            The idea is that I want to be able to write rules such as: (just an example) if in a sentence/clause there are two entities where the first one is a 'DRUG/CHEMICAL' + is the subject, and the second one is a 'DISEASE' + is an object --> (then) infer 'treatment' relation between the two.

            If anyone has any hints on how to approach this task, I would really appreciate it. Thank you!

            S.

            What I am doing to extract entities:

            doc = nlp(text-with-more-than-one-sent)

            for ent in doc.ents:

            ...

            ANSWER

            Answered 2022-Apr-04 at 05:21

            You can use the merge_entities mini-component to convert entities to single tokens, which would simplify what you're trying to do. There's also a component to merge noun chunks similarly.

            Source https://stackoverflow.com/questions/71726244

            QUESTION

            How to generate Precision, Recall and F-score in Named Entity Recognition using Spacy v3? Seeking ents_p, ents_r, ents_f for a small custom NER model
            Asked 2022-Mar-24 at 04:34

            The example code is given below, you may add one or more entities in this example for training purposes (You may also use a blank model with small examples for demonstration). I am seeking a complete working solution for custom NER model evaluation (precision, recall, f-score), Thanks in advance to all NLP experts.

            ...

            ANSWER

            Answered 2022-Mar-24 at 04:34

            I will give a brief example :

            Source https://stackoverflow.com/questions/71593295

            QUESTION

            DocBin to_bytes/to_disk gets killed
            Asked 2022-Mar-21 at 15:34

            I am dealing with fairly big corpuses and my DocBin object gets killed when I try to save it. Both to_disk and to_bytes are printing "Killed".

            I am with limited python knowledge, so it isn't obvious to me right away how I can work around the issue. Can you help?

            Here is my code(very straight forward and basic):

            ...

            ANSWER

            Answered 2022-Mar-21 at 15:34

            You are probably running out of RAM. Instead, save your annotation in multiple DocBin files. You can provide a directory to --paths.train with spacy train instead of a single .spacy file if you have multiple .spacy files.

            Source https://stackoverflow.com/questions/71558711

            QUESTION

            NLP Spacy add special case to recognize currency other than USD (ie. CAD)
            Asked 2022-Mar-19 at 17:44

            I am doing a very simple task where I need to extract dollar amounts in a string. I tried Spacy but it only recognize USD 1000 NOT CAD1000. I tried adding a special case

            ...

            ANSWER

            Answered 2022-Mar-19 at 17:44

            You can use spacy.matcher.Matcher:

            Source https://stackoverflow.com/questions/71535153

            QUESTION

            Is it possible to use JpaRepository without entity?
            Asked 2022-Mar-17 at 13:18

            Is it possible to use JpaRepository without entity? In this case, replacing it with a DTO.

            as follows the example

            ...

            ANSWER

            Answered 2022-Feb-18 at 20:51

            You can use Projections based on interfaces.

            e.g

            1. Create your native-query givin it column a alias. select name as fullName, age as age from person.

            2. Create a Interface that represents your DTO with get-methods to every alias of your native query.

            Source https://stackoverflow.com/questions/71177494

            QUESTION

            Extract Only Certain Named Entities From Tokens
            Asked 2022-Mar-13 at 21:44

            Quick question (hopefully). Is it possible for me to get the named entities of the tokens except for the ones with CARDINAL label (The label is 397). Here is my code below:

            ...

            ANSWER

            Answered 2022-Mar-13 at 21:44

            You can filter out the entities using list comprehension:

            Source https://stackoverflow.com/questions/71460724

            QUESTION

            using Spacy to remove names from a data frame in Python 3.9
            Asked 2022-Mar-04 at 08:22

            I am working with spacy package v3.2.1 in Python 3.9 and wanted to understand how I can use it to remove names from a data frame. I tried following the spacy documentation and I am able to identity names correctly, but not understanding how I can remove them. My goal is to remove all names from a specific column of the data frame.

            Actual

            ID Comment A123 I am five years old, and my name is John X907 Today I met with Dr. Jacob

            What I am trying to accomplish

            ID Comment A123 I am five years old, and my name is X907 Today I met with Dr.

            Code:

            ...

            ANSWER

            Answered 2022-Mar-04 at 03:04

            Here's an idea using the string replace method:

            EDIT: Stripping parens off to see if that helps.

            Source https://stackoverflow.com/questions/71345719

            QUESTION

            Spacy NER not recognising NAME
            Asked 2022-Mar-03 at 21:37

            Can anyone please help me understand why Spacy NER refuses to recognize the last NAME 'Hagrid' in the sentence, no matter the model used (sm, md, lg)?:

            "Hermione bought a car, then both Hermione and Hagrid raced it on the track. Tom Brady was very happy with Hagrid this year."

            ...

            ANSWER

            Answered 2022-Mar-03 at 21:37

            Well, Neural Network Models are basically a black box, so there is no way to know this for sure.

            I could imagine that the grammar in last sentence is a bit too "fancy"/literature-like if the model was trained on news or web data and might be throwing the model off. This difficulty of seeing the sentence context as something that would be followed up by a name as well as the fact that "Hagrid" is a kind of unusual name could be the reason.

            You can try some other models such as the one integrated in Flair:

            https://huggingface.co/flair/ner-english-large?text=Hermione+bought+a+car%2C+then+both+Hermione+and+Hagrid+raced+it+on+the+track.+Tom+Brady+was+very+happy+with+Hagrid+this+year.

            or this fine-tuned BERT model:

            https://huggingface.co/dslim/bert-large-NER?text=Hermione+bought+a+car%2C+then+both+Hermione+and+Hagrid+raced+it+on+the+track.+Tom+Brady+was+very+happy+with+Hagrid+this+year.

            They are more powerful and get it right, from my experience SpaCy is a nice tool and quite fast, but not the most precise for NER.

            Source https://stackoverflow.com/questions/71340177

            QUESTION

            Extracting SpaCy DATE entities and adding to new pandas column
            Asked 2022-Mar-03 at 14:54

            I have a collection of social media comments that I want to explore based on their reference to dates. For this purpose, I am using SpaCy's Named Entity Recognizer to search for DATE entities. I have the comments in a pandas dataframe called df_test under the column comment. I would like to add a new column dates to this dataframe consisting of all the date entities found in each comment. Some comments are not going to have any date entities in which case None should be added here instead. So for example:

            ...

            ANSWER

            Answered 2022-Mar-03 at 14:54

            I managed to find a solution to my own problem by using this function.

            Source https://stackoverflow.com/questions/71326920

            QUESTION

            How to load data for only certain label of Spacy's NER entities?
            Asked 2022-Mar-01 at 04:03

            I just started to explore spaCy and need it only for GPE (Global political entities) of the name entity recognition (NER) component.

            So, to save time on loading I keep only 'ner':

            ...

            ANSWER

            Answered 2022-Mar-01 at 04:03

            It isn't possible to do this. The NER model is classifying each token/span between all the labels it knows about, and the knowledge is not separable.

            Additionally, the NER component requires a tok2vec. Depending on the pipeline architecture you may be able to disable the top-level tok2vec. (EDIT: I incorrectly stated the top-level tok2vec was required for the small English model; it is not. See here for details.)

            It may be possible to train a smaller model that only recognizes GPEs with similar accuracy, but I wouldn't be too optimistic about it. It also wouldn't be faster.

            Source https://stackoverflow.com/questions/71269432

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

            Vulnerabilities

            No vulnerabilities reported

            Install Ents

            You can download it from GitHub.
            You can use Ents like any standard Java library. Please include the the jar files in your classpath. You can also use any IDE and you can run and debug the Ents component as you would do with any other Java program. Best practice is to use a build tool that supports dependency management such as Maven or Gradle. For Maven installation, please refer maven.apache.org. For Gradle installation, please refer gradle.org .

            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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