dispy | A tiny Python bytecode disassembler | Bytecode library

 by   goldsborough Python Version: Current License: Non-SPDX

kandi X-RAY | dispy Summary

kandi X-RAY | dispy Summary

dispy is a Python library typically used in Telecommunications, Media, Advertising, Marketing, Programming Style, Bytecode applications. dispy has no bugs, it has no vulnerabilities and it has low support. However dispy build file is not available and it has a Non-SPDX License. You can download it from GitHub.

A tiny Python bytecode disassembler. dispy emulates the behavior of dis.dis in that it will take a function, method, code object or code string and print a pretty representation of the corresponding bytecode. See here for a blog post on dis.dis and bytecode in general.
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              dispy has a low active ecosystem.
              It has 7 star(s) with 1 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 6 months.
              There are 1 open issues and 0 have been closed. On average issues are closed in 617 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of dispy is current.

            kandi-Quality Quality

              dispy has no bugs reported.

            kandi-Security Security

              dispy has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

            kandi-License License

              dispy 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

              dispy releases are not available. You will need to build from source code and install.
              dispy 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.

            Top functions reviewed by kandi - BETA

            kandi has reviewed dispy and discovered the below as its top functions. This is intended to give you an instant insight into dispy implemented functionality, and help decide if they suit your requirements.
            • Initialize the code object .
            • Return the value of the instruction .
            • Forward the line numbering .
            • Checks if the given program counter is at the given address .
            • Disables barcodes
            • Return a floating point number .
            • Disassemble a Python code .
            Get all kandi verified functions for this library.

            dispy Key Features

            No Key Features are available at this moment for dispy.

            dispy Examples and Code Snippets

            No Code Snippets are available at this moment for dispy.

            Community Discussions

            QUESTION

            where condition not supporting more than 1 condition
            Asked 2019-Apr-29 at 10:43

            The below code I want to use more than one condition but it is not supporting it is taking only one condition only p.score<=35 it is only displaying all records but p.score<=50 this condition applicable record is not dispying how can I resolve this issue.

            ...

            ANSWER

            Answered 2019-Apr-29 at 07:54
            p.Score<=35 && p.Score <=50
            

            Source https://stackoverflow.com/questions/55899062

            QUESTION

            Can the cluster_status callback submit new jobs?
            Asked 2018-Sep-08 at 02:43

            I'm developing a dispy script operating on a large number of objects (duh).

            There are multiple operations to be performed for each object -- only one of them must happen first, the rest use the first job's results and can be done in any order.

            ...

            ANSWER

            Answered 2018-Sep-08 at 02:43

            Yes, callback can submit new job(s). See, for example, job_scheduler.py, which submits jobs in callback (although cluster_status can also be used for this purpose). From above description, it seems you can use callback instead of cluster_status.

            Source https://stackoverflow.com/questions/52228871

            QUESTION

            Python multiprocessing subprocesses with ordered printing?
            Asked 2017-Jun-12 at 01:07

            I'm trying to run some Python functions in parallel, which has print commands throughout the function. What I want is to have each subprocess running the same function, to output to the main stdout in a grouped manner. What I mean by that is that I want each subprocess's output to only be printed after it has finished completing its task. If, however, some kind of error occured during this process, I want to still output whatever was done in the subprocess.

            A small example:

            ...

            ANSWER

            Answered 2017-Jun-12 at 01:07

            As you've noticed, using a lock in this case would kill multiprocessing because you'd essentially have all the processes wait for a mutex release from the process who currently holds the 'rights' to STDOUT. However, running in parallel and printing in sync with your function/subprocess is logically exclusive.

            What you can do instead is to have your main process serve as a 'printer' for your subprocesses in such a way that once your subprocess finishes/errors, then and only then it sends back to your main process what to print. You seem to be perfectly content for printing not to be 'real time' (nor it could, anyway, as previously mentioned) so that approach should serve you just right. So:

            Source https://stackoverflow.com/questions/44488645

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

            Vulnerabilities

            No vulnerabilities reported

            Install dispy

            You can download it from GitHub.
            You can use dispy like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

            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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            https://github.com/goldsborough/dispy.git

          • CLI

            gh repo clone goldsborough/dispy

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            git@github.com:goldsborough/dispy.git

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