Showing 7 open source projects for "android program source code"

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  • 1
    httpdbg

    httpdbg

    Tool for Python developers to easily debug the HTTP(S) client requests

    httpdbg is a tool for Python developers to easily debug the HTTP(S) client requests in a Python program.
    Downloads: 0 This Week
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  • 2
    ChatDBG

    ChatDBG

    ChatDBG - AI-assisted debugging. Uses AI to answer 'why'

    ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers like pdb, lldb, and gdb. It allows developers to engage in a dialog with the debugger, asking open-ended questions about their program's behavior, and provides error diagnoses and suggested fixes.
    Downloads: 2 This Week
    Last Update:
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  • 3
    IceCream

    IceCream

    Never use print() to debug again

    Do you ever use print() or log() to debug your code? Of course you do. IceCream, or ic for short, makes print debugging a little sweeter. With arguments, ic() inspects itself and prints both its own arguments and the values of those arguments. Just give ic() a variable or expression and you're done. ic() returns its argument(s), so ic() can easily be inserted into pre-existing code. Additionally, ic()'s output can be entirely disabled, and later re-enabled, with ic.disable() and ic.enable()...
    Downloads: 0 This Week
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  • 4
    Tangent

    Tangent

    Source-to-source debuggable derivatives in pure Python

    Existing libraries implement automatic differentiation by tracing a program's execution (at runtime, like PyTorch) or by staging out a dynamic data-flow graph and then differentiating the graph (ahead-of-time, like TensorFlow). In contrast, Tangent performs ahead-of-time autodiff on the Python source code itself, and produces Python source code as its output. Tangent fills a unique location in the space of machine learning tools. As a result, you can finally read your automatic derivative code just like the rest of your program. Tangent is useful to researchers and students who not only want to write their models in Python, but also read and debug automatically-generated derivative code without sacrificing speed and flexibility. ...
    Downloads: 0 This Week
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  • 5
    Quercitools

    Quercitools

    Troubleshoot stack overruns

    Quercitools has just one tool for now - stackcheck.py. It helps in troubleshooting of stack overruns. Such defects destroy stack contents and locating the source of the problem is not easy. This is where stackcheck.py comes to help. It runs a program under test by gdb and protects some parts of the stack. If the program overwrites such parts stackcheck.py stops the program and points to the offending line of code.
    Downloads: 0 This Week
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  • 6
    CodeInvestigator is a tracing tool for Python programs. All the run time information is recorded. Read your code together with its run time details. Use it to visualize what happened when you program ran.
    Downloads: 0 This Week
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  • 7
    RapidGDB is a scriptable GUI for the GDB debugger. Almost every aspect of the program can be extended using Python code snippets.
    Downloads: 0 This Week
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