turing-machine | Turing Machine Compiler | Machine Learning library

 by   jpdias JavaScript Version: Current License: No License

kandi X-RAY | turing-machine Summary

kandi X-RAY | turing-machine Summary

turing-machine is a JavaScript library typically used in Artificial Intelligence, Machine Learning applications. turing-machine has no bugs, it has no vulnerabilities and it has low support. You can download it from GitHub.

For the development of the tool the JavaScript web programming language was used, and several additional libraries (bootstrap, vis.js, jquery) were used to facilitate the development. At the structure level of the system it is divided between the logic of the Turing machine and the interpreter of the defined language. In the part of the logic of the machine of Turing were developed algorithms capable of executing the same one. On the interpreter side, algorithms have been implemented capable of both lexical and syntactic analyzes and also, although not totally, semantic analysis. The entire user interface was based on the BootStrap library and the presentation of transitions graphs was done using the vis.js library.
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              turing-machine has a low active ecosystem.
              It has 5 star(s) with 1 fork(s). There are 4 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 43 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of turing-machine is current.

            kandi-Quality Quality

              turing-machine has no bugs reported.

            kandi-Security Security

              turing-machine has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

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

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              turing-machine releases are not available. You will need to build from source code and install.

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            turing-machine Key Features

            No Key Features are available at this moment for turing-machine.

            turing-machine Examples and Code Snippets

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            Community Discussions

            QUESTION

            Turing machine for addition and comparison of binary numbers
            Asked 2019-Nov-27 at 14:43

            Good Day everyone!

            I am trying to solve this Exercise for learning purpose. Can someone guide me in solving these 3 questions?

            Like I tried the 1st question for addition of 2 binary numbers separated by '+'. where I tried 2 numbers addition by representing each number with respective number of 1's or zeros e.g 5 = 1 1 1 1 1 or 0 0 0 0 0 and then add them and the result will also be in the same format as represented but how to add or represent 2 binaries and separating them by +, not getting any clue. Will be head of Turing machine move from left and reach plus sign and then move left and right of + sign? But how will the addition be performed. As far as my little knowledge is concerned TM can not simply add binaries we have to make some logic to represent its binaries like in the case of simple addition of 2 numbers. Similar is the case with comparison of 2 binaries? Regards

            ...

            ANSWER

            Answered 2019-Nov-26 at 14:31

            There are two ways to solve the addition problem. Assume your input tape is in the form ^a+b$, where ^ and $ are symbols telling you you've reached the front and back of the input.

            1. You can increment b and decrement a by 1 each step until a is 0, at which point b will be your answer. This is assuming you're comfortable writing a TM that can increment and decrement.
            2. You can implement a full adding TM, using carries as you would if you were adding binary numbers on paper.

            For either option, you need code to find the least significant bit of both a and b. The problem specifies that the most significant bit is first, so you'll want to start at + for a and $ for b.

            For example, let's say we want to increment 1011$. The algorithm we'll use is find the least significant unmarked digit. If it's a 0, replace it with a 1. If it's a 1, move left.

            1. Start by finding $, moving the read head there. Move the read head to the left.
            2. You see a 1. Move the read head to the left.
            3. You see a 1. Move the read head to the left.
            4. You see a 0. write 1.
            5. Return the read head to $. The binary number is now 1111$.

            To compare two numbers, you need to keep track of which values you've already looked at. This is done by extending the alphabet with "marked" characters. 0 could be marked as X, 1 as Y, for example. X means "there's a 0 here, but I've seen it already.

            So, for equality, we can start at ^ for a and = for b. (Assuming the input looks like ^a=b$.) The algorithm is to find the start of a and b, comparing the first unmarked bit of each. The first time you get to a different value, halt and reject. If you get to = and $, halt and reject.

            Let's look at input ^11=10$:

            1. Read head starts at ^.
            2. Move the head right until we find an unmarked bit.
            3. Read a 1. Write Y. Tape reads ^Y1=10$. We're in a state that represents having read a 1.
            4. Move the head right until we find =.
            5. Move the head right until we find an unmarked bit.
            6. Read a 1. This matches the bit we read before. Write a Y.
            7. Move the head left until we find ^.
            8. Go to step 2.
            9. This time, we'll read a 1 in a and read the 0 in b. We'll halt and reject.

            Hope this helps to get you started.

            Source https://stackoverflow.com/questions/59045832

            QUESTION

            XSLT generates output with undeclared namespace prefix in Saxon. error XTSE1430: Namespace prefix exsl is undeclared
            Asked 2019-Nov-18 at 17:08

            I am trying to validate a Yang model against an XML instance. I found this bash script[1] that does the job, but I want to rewrite it using Java.

            Saxon version

            ...

            ANSWER

            Answered 2019-Nov-18 at 17:08

            The error XTSE1430 means that there is an extension-element-prefixes attribute containing a namespace prefix (exsl) which has not been declared.

            It's not clear from the information given how the extension-element-prefixes attribute is generated, but it's not Saxon that's generating it, it's user-written XSLT code, and the responsibility for ensuring that the namespace is declared therefore falls on the user-written code.

            Saxon will always ensure that namespace prefixes used in the names of elements and attributes are declared (a process called "namespace fixup") but it is not able to do this for prefixes used in the content of text or attribute nodes: that's a user responsibility.

            I haven't attempted to study the source code in the files that you link to.

            Source https://stackoverflow.com/questions/58917832

            QUESTION

            Yang model validation error. Element not allowed anywhere, expected end-tag
            Asked 2019-Oct-22 at 11:22

            I have the following YANG model. I want to validate the model against custom xml data.

            ...

            ANSWER

            Answered 2019-Oct-22 at 11:22

            The problem is that config is used instead of data inside the xml and inside the validation commands. A valid xml is:

            Source https://stackoverflow.com/questions/58499056

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

            Vulnerabilities

            No vulnerabilities reported

            Install turing-machine

            You can download it from GitHub.

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