powop | Plants of the World Online Portal | Dataset library

 by   RBGKew Java Version: Current License: Non-SPDX

kandi X-RAY | powop Summary

kandi X-RAY | powop Summary

powop is a Java library typically used in Artificial Intelligence, Dataset, React applications. powop has no bugs, it has no vulnerabilities, it has build file available and it has low support. However powop has a Non-SPDX License. You can download it from GitHub.

Plants of the World Online Portal is a global, online, biodiversity information resource. This repository contains the code for the data model, harvester and web portal.
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            kandi-support Support

              powop has a low active ecosystem.
              It has 12 star(s) with 2 fork(s). There are 12 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              powop has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of powop is current.

            kandi-Quality Quality

              powop has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              powop has a Non-SPDX License.
              Non-SPDX licenses can be open source with a non SPDX compliant license, or non open source licenses, and you need to review them closely before use.

            kandi-Reuse Reuse

              powop releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              powop saves you 43106 person hours of effort in developing the same functionality from scratch.
              It has 50940 lines of code, 2222 functions and 843 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed powop and discovered the below as its top functions. This is intended to give you an instant insight into powop implemented functionality, and help decide if they suit your requirements.
            • Maps the value of a taxon to an object
            • Map a field to a Concept object
            • Maps the given field to an Image object
            • Maps a field to an object
            • Maps the given field to Identification
            • Overrides the default implementation of this method to map references to a term
            • Recursively maps the specified field to an object
            • Map a field to a Reference object
            • Map the given field to the Multimedia object
            • Map the given field to the object
            • This method maps a field to an object
            • Overrides the default implementation of this method to map fields to the corresponding object
            • Sets the persisted identifier
            • Sets the persisted image
            • Updates the persisted object
            • Updates the given MeasurementOrFact
            • Updates the description
            • Updates the persisted concept
            • Updates the persisted distribution
            • Persists a type and sets it to the persisted file
            • Updates the persisted name
            • Reads the metadata file
            • Convert a NomenclanStatus to its human readable representation
            • Creates a new instance of the specified field set
            • Creates the SolrInput
            • Process taxon
            • Deserializer instance
            • Adds a query option
            • Unpacks an archive file
            • Performs an HTTP POST and returns the response body
            • Harvest a resource
            Get all kandi verified functions for this library.

            powop Key Features

            No Key Features are available at this moment for powop.

            powop Examples and Code Snippets

            No Code Snippets are available at this moment for powop.

            Community Discussions

            QUESTION

            How can a programming language that is specified using a context-free grammar, be capable of expressing a Turing Machine?
            Asked 2021-Apr-22 at 22:01

            I've been getting into Automata theory, compilers and the fundamentals of CS, but there is something fundamental that I don't understand.

            I have seen the Chomsky Hierarchy of languages where different classes of languages that have different expressive power are "associated" with an equivalently powerful automaton.

            From Wikipedia :

            GRAMMAR LANGUAGE AUTOMATON

            • Type-0 Recursively enumerable Turing machine
            • Type-1 Context-sensitive Linear-bounded non-deterministic Turing machine-
            • Type-2 Context-free Non-deterministic pushdown automaton
            • Type-3 Regular Finite state automaton

            I've seen that every programming language are Turing Complete and that the grammar specifications of programming languages (formalised in BNF, etc..) can be expressed as a Context-free Grammar.

            Context-free grammars dont have an "associated" Turing Machine as equivalent.

            During interpretation / compilation, the string of the source code of a program written in a programming language (like C, python, etc..) is parsed/translated into an Abstract Syntax Tree.

            (As I understand, this is like extracting an array from a string when matching the string against a regular expression, except that the pattern here is not a regular expression, it is a context-free grammar, which is more powerful, hence the tree structure extracted which contain more information that a linear array (coming from capture groups of a regex).)

            So the program written, potentially implementing a Turing Machine, is converted into an Abstract Syntax Tree, and all the information contained into the original program is now incorporated into the tree. And later, during execution, the program will accompished some computation that can be as complex as a Turing Machine.

            My question is : How can a string expressed within the confines of the rules dictated by what a Context-free Grammar can be, be implementing a Turing Machine while the equivalence grammar/language/automata and the Chomsky Hierarchy say a Context-free Grammar isn't expressive enough to do so ?

            Is one of my assumptions wrong ? Or is the fact that memory plays a role in this, and that there is a theorem that says something like : a Turing Machine can be implemented "using" a Tree + a Stack ?

            This is really bugging me.

            Anything that can enlighten me is really appreciated !

            EDIT :

            Here's a DUPLICATE of my question :

            chomsky hierarchy and programming languages

            Why I mistakenly thought that the syntax specification of a programming language defines its semantics ?

            Because of what YACC does : (syntax-directed translation)

            https://en.wikipedia.org/wiki/Syntax-directed_translation

            which associates the rules of the context-free grammar used to parse the programming language (which is used to make the abstract syntax tree) with an action. This is the source of my confusion.

            For example, here's a copy paste of an extract of the source code of the perl5 interpreter. This is the file perly.y which is used to by yacc to make the first pass of compilation.

            ...

            ANSWER

            Answered 2021-Apr-22 at 00:39

            The 'level' of grammar you use to define a language determines the automaton required to recognize (parse) that language, but it is unrelated to the "power" of that language.

            E.g., if you use a Type 2 grammar (CFG) to define a language, the Chomsky hierarchy tells you that you'll need a pushdown automaton to recognize it, but the language might be a Turing-complete programming language, or it might be a language for regular expressions, or it might be a language with no computational "power" at all.

            For a more extreme example, you can imagine using a Type 3 grammar (regular expression) to define a language for 'programming' a Turing machine.

            The power of a language (in particular, whether it's Turing-complete) depends on its semantics, not its syntax.

            Source https://stackoverflow.com/questions/67193274

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

            Vulnerabilities

            No vulnerabilities reported

            Install powop

            You can download it from GitHub.
            You can use powop 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 powop 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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