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Cheuk Ting Ho - Fuzzy Matching Smart Way of Finding Similar Names Using Fuzzywuzzy

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The FuzzyLite Libraries for Fuzzy Logic Control. Fuzzy Logic Control was never this easy, simple, intuitive, beautiful, exciting, and more importantly, completely based on free and open source technologies.

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Jfuzzylite is a free and open-source fuzzy logic control library programmed in Java for multiple platforms e.g., Windows, Linux, Mac, Android.

Fuzzylite is the equivalent library written in C++ for Windows, Linux, Mac, iOS, and others. Together, they are the FuzzyLite Libraries for Fuzzy Logic Control. The goal of the FuzzyLite Libraries is to easily design and efficiently operate fuzzy logic controllers following an object-oriented programming model without relying on external libraries. For fuzzy searching, you really need to decide what algorithm you'd like to use.

With information retrieval, I use an n-gram technique with Lucene successfully. But that's a special indexing technique, not a "library" in itself. Without knowing more about your application, it won't be easy to recommend a suitable library. How much data are you searching? How often is the data updated. A lightweight fuzzy-search library, with zero dependencies.

Fuzzy-search fuzzy-matching weighted-search bitap. Updated Feb 20, Java fuzzy string matching implementation of the well known Python's fuzzywuzzy algorithm. Java fuzzy-search fuzzy-matching string-distance python-levenshtein fuzzywuzzy. Star Golang library for fuzzy matching within a set of strings.

Fuzzy-matching levenshtein golang-library string-matching. Fuzzy string matching for java based on the FuzzyWuzzy Python algorithm. The algorithm uses Levenshtein distance to calculate similarity between strings. I've personally needed to use this but all of the other Java implementations out there either had a crazy amount of dependencies, or simply did not output the correct results as the python one, so I've decided to properly re-implement this in Java.

linfographik.comortPartialRatio"order words out of"," words out of order" linfographik.comortRatio"order words out of"," words out of order" Token Set Ratio. linfographik.cometRatio"fuzzy was a bear", "fuzzy fuzzy fuzzy bear" linfographik.cometPartialRatio"fuzzy was a bear", "fuzzy fuzzy fuzzy bear". A fuzzy matching string distance library for Scala and Java that includes Levenshtein distance, Jaro distance, Jaro-Winkler distance, Dice coefficient, N-Gram similarity, Cosine similarity, Jaccard similarity, Longest common subsequence, Hamming distance, and more.

Levenshtein-distance levenshtein ngram. Itspawanbhardwaj spark-fuzzy-matching. Lightweight fuzzy-search library. Distance Determines how close the match must be to the fuzzy location specified by location. An exact letter match which is distance characters away from the fuzzy location would score as a complete mismatch.

A distance of 0 requires the match be at the exact location specified, a distance of would require a perfect match to be within characters of the location to be found using a threshold of. Keywords Fuzzy String Matching, Approximate String Matching, Fuzzy Sets, Fuzzy Dictionaries.

Approximate or fuzzy string matching considers the problem of finding a specific string within a. Search space, while allowing a given number of errors or deviations from a search pattern. Similar, but more complex, problem to that of finding exact matches for a given string within a search.

Space, although the two problems share many concepts and methods. Matching at the cost of a significantly higher memory footprint. In this paper, we present a Java utility library for indexed approximate string matching. This library are designed to be both flexible and extensible, and can be configured to use a variety of.

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Riot, linfographik.com, and Webix are probably your best bets out of the 9 options considered. "Components use familiar HTML tags" is the primary reason people pick Riot over the competition. This page is powered by a knowledgeable community that helps you make an informed decision. What are the best lightweight JavaScript UI libraries. That being said, I understand Java's in more of a Renaissance now than it practically ever has been - so it must do some important things better than C, or something but all I've gotten when I've asked people is "Well, some people don't like CMicrosoft." I can certain understand personal preference but I have a hard time believe that is all that is at play here - industry isn't driven by personal preference. Fuzzy-search-and-edit - ZSH plugin for fuzzy searching files and instantly opening a matched file on matched line.

Fz - Seamlessly adds fuzzy search to z's tab completion and lets you easily jump around among your historical directories.

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Fzf wyntau - Wraps fzf for use with ZSH. Fzf-fasd - integrates fzf and fasd tab completion of z with fzf's fuzzy search!

Fzf-finder - Plugin to have a cool search keybinding with fzf and optionally bat. Searches in the local tree of subdirectories for files.

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The Lightweight Java Game Library LWJGL is a solution aimed directly at professional and amateur Java programmers alike to enable commercial quality games to be written in Java. LWJGL provides developers access to high performance crossplatform libraries such as OpenGL and OpenAL Open Audio Library allowing for state of the art games and sound.

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Additionally LWJGL provides access to controllers such as gamepads, steering wheel and joysticks.

All in a simple and straightforward API. The Lightweight Java Game Library LWJGL is an open-source Java software library for video game developers. It exposes high performance cross-platform libraries commonly used in developing video games and multimedia titles, such as Vulkan, OpenGL, OpenAL and OpenCL. It further provides access to controllers such as gamepads, steering wheels and joysticks in a platform-neutral way.

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In computer science, approximate string matching often colloquially referred to as fuzzy string searching is the technique of finding strings that match a pattern approximately rather than exactly.

The problem of approximate string matching is typically divided into two sub-problems finding approximate substring matches inside a given string and finding dictionary strings that match the pattern approximately. Fuzzy matching allows you to identify non-exact matches of your target item. It is the foundation stone of many search engine frameworks and one of the main reasons why you can get relevant search results even if you have a typo in your query or a different verbal tense.

Fuzzy matching has one big side effect it messes up with relevance. Although Damerau-Levenshtein is an algorithm that considers most of the common user’s misspellings, it also can include a significantly the number of false positives, especially when we are using a language with an average of just 5 letters per word, such as English. The Lightweight Java Game Library LWJGL is a solution aimed directly at professional and amateur Java programmers alike to enable commercial quality games to be written in Java.

LWJGL provides developers access to high performance crossplatform libraries such as OpenGL Open Graphics Library, OpenCL Open Computing Language and OpenAL Open Audio Library allowing for state of the art games and sound. Additionally LWJGL provides access to controllers such as Gamepads, Steering wheel and Joysticks.

All in a simple and straight forward API. In fuzzy matching our goal is to score string A to string B in terms of how close they are together. We want to find similar strings.

For example mayor could be very close to major, or something Making fuzzy matching useful is possible, we just have to think about how to make it scalable and what we actually want to accomplish with it.

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Do we just want to find typos or do we want to match companies or people that could be the same. There is much we can do, and the discussion should be less on what is the best thing to do in general, but what business case we are trying to solve.

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One of the challenge when dealing with NLP tasks is text fuzzy matching alignment. You can still build your NLP model when skipping this text process text but the trade-off is you may not achieve good result.

Someone may argue that there is not necessary to have preprocessing when using deep learning.

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From my experience, having proper text preprocessing can improve your model at least 3 5. So what kind of scenario we need to deal with text fuzzy match and what can we do? Text cannot be guaranteed that it is correct or there are alias name such as New York and. The domain of Fuzzy Name Matching is not new, but with the rise of mobile and web apps, social media platforms, new messaging services, device logs and other open data formats, the nuances of data have grown, making the challenge of name matching increasingly complex.

To appreciate the problem, imagine that you are the owner of an international logistics company. Library for fuzzy string matching. Can be used to find doublets or similarities between strings. - string metrics Levenshtein, Jaccard, JaroWinkler, - algorithms SortedNeigborhood, Blocking - phonetic codecsSoundex, DoubleMetaphone, Phonix, - string tokenizer NGram, Score votes 0 830 v linfographik.com-fuzzy.

Chai Fuzzy chai-fuzzy binding library for linfographik.com projects. Score.8 votes 0 69 v Library .Net Standard to support text and person name matching. Currently contains Levenshtein and Damerau-Levenshtein optimal string alignment version edit distance and normalized similarity functions optimized for speed and reduced memory consumption.

There are also versions of the functio. Fuzzy string matching is the process of finding strings that match a given pattern. Basically it uses Levenshtein Distance to calculate the differences between sequences. FuzzyWuzzy has been developed and open-sourced by SeatGeek, a service to find sport and concert tickets. The FuzzyWuzzy library is built on top of difflib library, python-Levenshtein is used for speed.

So it is one of the best way for string matching in python. My Personal Notes arrowdropup.

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I personally have found the java port of Fuzzy Lite library most convenient way to build fuzzy control system. We have implemented sentiment analysis application using it as our emotions are mostly fuzzy not clear in real life. A must-have set of tools for multiplatform development.

Get JetBrains Toolbox with its 15+ code editors for all languages and technologies included in one app. Latest release - Updated Nov 20, - K stars. Bash-like brace expansion, implemented in JavaScript. Safer than other brace expansion libs, with Latest release - Updated Apr 16, - 77 stars. linfographik.com helps you find new open source packages, modules and frameworks and keep track of ones you depend upon. Copyright Tidelift, Inc Code is Open Source under AGPLv3 license Data is available under CC-BY-SA license. Fuzzy is a python library implementing common phonetic algorithms quickly.

Typically this is in string similarity exercises, but they’re pretty versatile. It uses C Extensions via Cython for speed. Double Metaphone Based on Maurice Aubrey’s C code from his perl implementation. The functions are quite easy to use! Import fuzzy soundex linfographik.comx4 soundex'fuzzy' 'F' dmeta linfographik.comhone dmeta'fuzzy' ['FS', None] fu.

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We are looking for someone to build us a string matching algorithm. The module must take a string as input and attempt to match it against a predefined set of results strings. The result strings could be encoded with one or many parameters which represent data type andor format of the input Ex Approximately Hose. We expect the module to be able to Extract and match the parameter types from the input number, date, etc.

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Find the best approximate match from the accepted result string set.

Take into consideration alternate spelling, typos, upperlo. These are the Java libraries that are bundled with JDK and used for almost any application developed in java. linfographik.com The linfographik.com package contains the classes and interfaces that are fundamental to the core Java language. It’s a fast, lightweight and user-friendly library for developers. XStream is a simple library to serialize objects to XML and JSON.

Popular Chart And Graph Libraries In Java. There are many good charting libraries in Java we have picked two of the most popular ones in this list. The JFreeChart is the easiest and most widely used graphical library for creating a wide variety of good looking charts. JFreeChart allows the users to generate a pie chart, bar chart, time-series chart, Gantt chart, histogram, X-Y charts, and various specific charts. Introduction to Thread Lightweight Heavyweight Java.

If only one process exists before the processor and if the process execution is stopped for some reason, the microprocessor becomes idle without any work. This type of programming is known as monolithic programming. In monolithic programming, the whole process constitutes a single module. A Java process can be divided into a number of threads or to say, modules and each thread is given the responsibility of executing a block of statements.

That is, a thread is an incharge of a few statements of a program. If one thread stops its execution, the execution control can be shifted to another thread. Java 7’s ForkJoinPool as well as Java 8’s parallel Stream help parallelising stuff, which is great when you deploy your Java program onto a multi-core processor machine. The advantage of such parallelism compared to scaling across different machines on your network is the fact that you can almost completely eliminate latency effects, as all cores can access the same memory.

If linfographik.com 1 linfographik.comargs[0] Takeaway. In the above example, it is probably completely irrelevant if you’re using explicit StringBuilder instances, or if you rely on the Java compiler creating implicit instances for you. But remember, we’re in the N.O.P.E.

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In other words linfographik.com is just a thin wrapper around existing collection, suitable for one time use. More akin to Iterator than to Stream in Scala. This library attempts to fill this niche. Of course implementing lazy sequence data structure was possible prior to Java 8, but lack of lambdas makes working with such data structure tedious and too verbose. linfographik.com Method - The linfographik.comdouble a returns the cube root of a double value.

For positive finite x, cbrt-x - cbrtx that is, the cube root of a negative val. The linfographik.comdouble a returns the cube root of a double value.

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For positive finite x, cbrt-x - cbrtx that is, the cube root of a negative value is the negative of the cube root of that value's magnitude. If the argument is NaN, then the result is NaN. In this video, I show how to do fuzzy matching in JavaScript. This video is based on a blog post by Will McGugan at.

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Minimal lightweight logging for JavaScript, adding reliable log level methods to any available linfographik.com methods. A lightweight library that provides tools for organizing asynchronous code. A fuzzy search returns a number of matches that are likely to be relevant to a search term or terms even when the match does not exactly correspond to the search terms. In some ways a fuzzy matching program can operate a lot like a spell checker.

So here are 10 Awesome Javascript Fuzzy Search Libraries that you can use them on any of your projects. Having such powerful search on your site, visitors will feel more comfortable and will be able to find their desired things easily.

Unleash The Power of WordPress Ad. Lightweight fuzzy-search, in JavaScript, with zero dependencies.

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Filters a list based on a fuzzy string search. Fuzzy is a handy little library for writing expressive "fuzz tests" in Java. Public void test Create an input that can be one of three different strings Generator myString linfographik.com"A", "B", "C" The value of myString returned by linfographik.com method will be different for each iteration of the test. Fuzzy will automatically detect all of the generators declared by your test and use pair-wise combination to ensure that each variable's subcases are all executed.

The catch is that for this to work, you need to declare all variables before you use any of them, and they all need to be declared on the thread that is executing your tests. Fuzzy string matching library for ruby clj-fuzzy. Java Best Practice quotes for Java developers.

Avoid unnecessary java objects, declare private fields in class, minimize mutability of java class,prefer Interface in place of Abstract class,limit scope of local variable. It is very advisable to use an existing standard library which is already tested, debugged and used by others. This not only improves the efficiency of programmer but also reduces chances of adding new bugs in your code.

Also using a standard library makes code readable and maintainable. Quote 2 I don’t buy this, if you need a really lightweight data class, why add boilerplate? If you start making the class more complex, ditch the public fields. Quote 8 For example if we concatenate strings using + operator in a for loop then everytime + is used, it.

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Fuzzy searching allows for flexibly matching a string with partial input, useful for filtering data very quickly based on lightweight user input. Fuzzysearch - pig Tiny and fast fuzzy search in Go. Inspired by bevacquafuzzysearch, a fuzzy matching library written in JavaScript. But contains some extras like ranking using Levenshtein distance see RankMatch and finding matches in a list of words see Find. Fuzzy searching allows for flexibly matching a string with partial input, useful for filtering data very quickly based on lightweight user input.

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Standard pattern matching in Java. The standard Java library includes support for finding specific patterns within character strings. There are two basic mechanisms to choose from String search finds an instance of a literal string value within another string. For example, you could search for the word 'Arbor' in the text 'Welcome to Ann Arbor'.

The result would indicate that the word was found at position 15 Java starts counting at zero. Regular expression matching finds an instance of a string pattern within another string. For example, you could search for the pattern.

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I have to do fuzzy match on field Product Desc 1 and Product Desc 2. Please find the attachment below for input and workflow Solved! This is a very simplistic view of how Fuzzy Matching works it greatly depends on the method of matching that you choose as well, but it is impacting the match score.

Removing the digits prior to putting them into the fuzzy match tool does help in getting some results I used a Data Cleansing tool before the Fuzzy Match. Perhaps you could build some conversion process into your workflow to account for this?

I can't think of another way to get these two strings to match properly, as you will get similar or the same in the example below match score.

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Crazy fuzzing tool that automatically discovers bugs given time and minimal example input. A Pattern-matching library for C++. American fuzzy lop VS pdqsort. L5 American fuzzy lop VS Better Enums. Reflective enums to string, iteration. An alternative to the string library for C which is more functional and does not have buffer overflow overrun problems.

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A lightweight fuzzy-search library, with zero dependencies. Talisman A straightforward modular NLP, machine learning fuzzy matching library for JavaScript. Fuzzywuzzy Java fuzzy string matching implementation of the well known Python's fuzzywuzzy algorithm.

Closestmatch Golang library for fuzzy matching within a set of strings. Symspellpy Python port of SymSpell.

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Import linfographik.com A matching algorithm that is similar to the searching algorithms implemented in editors such as Sublime Text, TextMate, Atom and others. One point is given for every matched character. Subsequent matches yield two bonus points. A higher score indicates a higher similarity. This code has been adapted from Apache Commons Lang.

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Flot is a pure JavaScript plotting library for jQuery, with a focus on simple usage, attractive looks and interactive features. Rxdb.computeriphone A reactive Database for Progressive Web Apps and more. An extendable JSON database for Node and the browser powered by lodash.

linfographik.com GPU Accelerated JavaScript. Lightweight fuzzy-search, in JavaScript.

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Create REST APIs in Java or Kotlin easily. Endpoint-handlers are matched in the order they are defined. You might know endpoint-handlers as routes or middleware from other libraries. linfographik.com"", ctx - some code linfographik.comobject.

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A Computer Science portal for geeks. It contains well written, well thought and well explained computer science and programming articles, quizzes and practicecompetitive programmingcompany interview Questions.

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Fuzzy string matching for java based on the FuzzyWuzzy Python algorithm. The algorithm uses Levenshtein distance to calculate similarity between strings. I've personally needed to use this but all of the other Java implementations out there either had a crazy amount of dependencies, or simply did not output the correct results as the python In computer science, approximate string matching often colloquially referred to as fuzzy string searching is the technique of finding strings that match a pattern approximately rather than exactly.

The problem of approximate string matching is typically divided into two sub-problems finding approximate substring matches inside a given string and finding dictionary strings that match the Code Geek Fuzzy String Matching in Java.

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For a "lightweight" cookie manager, there seems to be rather a lot going on in my opinion. And I'd call the object CookieManager since it's two words, but that's not structurallysyntactically important. I am however a bit suspicious of the get usage. If I give it a string, and nothing else, I'd expect that to do strict name-matching.

Given a name, I expect zero or 1 cookie in return, not a list. Maybe break out the "fuzzy matching" into a find method, or have get accept a regular expression instead.

Speaking of regular expressions, that'.

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I’m looking for a high performance Java library for fuzzy string search. There are numerous algorithms to find similar strings, Levenshtein distance, Daitch-Mokotoff Soundex, n-grams etc. What Java implementations exists? I’m aware of Lucene, any other solution or Lucene is best? I found these, does anyone have experience with them.

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Many times Java library and open source code wraps one Exception into another, when one exception is thrown due to result of another exception. Its become extremely important to log or print cause of root exception.

Java Exception class provides getCause method to retrieve cause which can be used to provide more information about root cause of Exception. Message 2 "Illegal value for argument value. First one just says that argument is illegal or incorrect, but second one include both name of argument and its illegal value which is important to point out cause of error.

Always follow this Java best practice, when writing code for handling exceptions and errors in Java. 5 Avoid overusing Checked Exception.

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Import linfographik.comElementException The code BST class represents an ordered symbol table of generic key-value pairs. It supports the usual put, get, contains, delete, size, and is-empty methods. Unlike link linfographik.com, this class uses the convention that values cannot be code nullsetting the value associated with a key to code null is equivalent to deleting the key from the symbol table.

It requires that the key type implements the code Comparable interface and calls the code compareTo and method to compare two keys.

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Java provides an equals function in the linfographik.com class, it works fine and there is no need to mess with it. But what if you need to know if a string is "close" to another but not equals? Java does not have a built in "closeness" measurement. Close has always counted in the game of horseshoes, and it could be argued that close will count with hand grenades or nuclear warfare, but out of the box programming languages do not come with a closeness measurement as it's either equal or not equal OK, leave out equalsIgnoreCase because upperlower case is not the measu.

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The Java Virtual Machine JVM features a complete framework for operational management and monitoring. In this post we will see what JMX Java Management eXtensions is, how to explore the information it exposes and how to take advantage of it with Jolokia and the Elastic Stack.

If you know about JMX and Jolokia, you can skip the first part and go directly to learn more about related Metricbeat features. JMX is a technology that defines a complete architecture and a set of design patterns to monitor and manage Java applications.

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Can you suggest some light weight fuzzy text search library? What I want to do is to allow users to find correct data for search terms with typos. I could use full-text search engines like Lucene, but I think it's an overkill. Edit To make question more clear here is a main scenario for that library I have a large list of strings. If you can choose to use a database, I recommend using PostgreSQL and its fuzzy string matching functions. If you can use Ruby, I suggest looking into the amatch library.

- links to working soundex libraries are right there at the bottom of the page. As for Levenshtein distance, the Wikipedia article on that also has implementations listed at the bottom.

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Following java best practices are mainly focused on system design time considerations. They are mainly useful for senior developers. Eventually, you will also be senior if not today. Worth reading for future software designers. Java exception handling using inner classes. Covering some well-known and some little known practices which you must consider while handling exceptions in your next java programming assignment. Java executor framework best practices. Some best practices which you need to keep in mind while designing your next multi-threaded application.

5 Reasons You Should Consider Migrating Your Legacy Systems. There are several reasons for migrating from old legacy systems to new advanced systems.

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The Java programming language also provides operators that perform bitwise and bit shift operations on integral types. The operators discussed in this section are less commonly used. Therefore, their coverage is brief the intent is to simply make you aware that these operators exist. The unary bitwise complement operator "" inverts a bit pattern it can be applied to any of the integral types, making every "0" a "1" and every "1" a "0".

For example, a byte contains 8 bits applying this operator to a value whose bit pattern is ".

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The main design goal was to create light weight expression compiler generating extremely fast code. The main emphasis is the code execution time and not the compilation time it is nevertheless small. The other goal was to make JEL language to be very close to Java language with direct access to all built-in Java data types and functions. It also means that methods and fields of all classes supplied to the Library are subject to the same constraints as members of a single Java class.

Moreover, because JEL allows to call methods with no arguments omitting the empty brackets that is "func" and "func" are equivalent there should be no fields and methods with no arguments having the same names in all classes presented to the Library constructor.