Turing-Machine | Turing Machine | Machine Learning library

 by   tivole Python Version: Current License: MIT

kandi X-RAY | Turing-Machine Summary

kandi X-RAY | Turing-Machine Summary

Turing-Machine is a Python library typically used in Artificial Intelligence, Machine Learning, Deep Learning, Spark applications. Turing-Machine has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However Turing-Machine build file is not available. You can download it from GitHub.

Turing Machine
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              Turing-Machine has a low active ecosystem.
              It has 9 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              Turing-Machine has no issues reported. 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 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              Turing-Machine is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              Turing-Machine releases are not available. You will need to build from source code and install.
              Turing-Machine has no build file. You will be need to create the build yourself to build the component from source.
              Installation instructions, examples and code snippets are available.
              It has 254 lines of code, 7 functions and 2 files.
              It has low code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed Turing-Machine and discovered the below as its top functions. This is intended to give you an instant insight into Turing-Machine implemented functionality, and help decide if they suit your requirements.
            • Computes the Hilbert machine .
            • Draw a rectangle .
            • Print a TIVole .
            • Draw a circle .
            • Print a command .
            • Print the done message
            • Get an empty symbol
            Get all kandi verified functions for this library.

            Turing-Machine Key Features

            No Key Features are available at this moment for Turing-Machine.

            Turing-Machine Examples and Code Snippets

            No Code Snippets are available at this moment for Turing-Machine.

            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

            Now you can use Turing_Machine.
            Run git clone https://github.com/tivole/Turing_Machine.git to clone repository.
            Run cd Turing_Machine/src to change directory.
            Run pip install -r requirements.txt to install required libraries.

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            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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            git@github.com:tivole/Turing-Machine.git

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