pyTree | A Python 3 implementation of Tree data structure | Dataset library

 by   yoyzhou Python Version: 2.0.0 License: Non-SPDX

kandi X-RAY | pyTree Summary

kandi X-RAY | pyTree Summary

pyTree is a Python library typically used in Artificial Intelligence, Dataset applications. pyTree has no bugs, it has no vulnerabilities, it has build file available and it has low support. However pyTree has a Non-SPDX License. You can install using 'pip install pyTree' or download it from GitHub, PyPI.

Data structure tree implemented in Python 3.
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            kandi-support Support

              pyTree has a low active ecosystem.
              It has 11 star(s) with 9 fork(s). There are 2 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 1 have been closed. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of pyTree is 2.0.0

            kandi-Quality Quality

              pyTree has 0 bugs and 0 code smells.

            kandi-Security Security

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

            kandi-License License

              pyTree 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

              pyTree releases are not available. You will need to build from source code and install.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 281 lines of code, 34 functions and 5 files.
              It has high code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed pyTree and discovered the below as its top functions. This is intended to give you an instant insight into pyTree implemented functionality, and help decide if they suit your requirements.
            • Prints a tree structure
            • Returns the children of the receiver
            Get all kandi verified functions for this library.

            pyTree Key Features

            No Key Features are available at this moment for pyTree.

            pyTree Examples and Code Snippets

            No Code Snippets are available at this moment for pyTree.

            Community Discussions

            QUESTION

            Please assist in improving my tkinter code
            Asked 2022-Jan-29 at 15:30

            This is my current code. I'd like for someone to tell me how to make it easier or generally improve it I used some rather dodgy work a rounds for problems I didn't know how to solve with my little code knowledge (for example the account number). Oh and sorry if there's a lot of spelling/grammar mistakes I'm not natively English.

            BTW I'm sorry if I posted this in the wrong place I didn't quite know where else to go to to ask. I even tried asking my ICT teacher but he didn't even understand what I did, so yeah didn't quite work out.

            ...

            ANSWER

            Answered 2022-Jan-29 at 14:50

            Dev_Xam 👏 I cheer you, your code is the best improved and it's in the best way to be, I have only found 1 improvement which I think could help you. It is at line 20, change it to the following:

            Source https://stackoverflow.com/questions/70906508

            QUESTION

            Gradient Accumulation with JAX
            Asked 2021-Jun-17 at 17:12

            I made a simple script to try to do gradient accumulation with JAX. The idea is to have large batch size (e.g. 64) that are split in small chunks (e.g. 4) that fit in the GPU's memory. For each chunck, the resulting gradient, stored in a pytree, is added to the current batch gradient. The update is done only when all chunks of the large batch are computed. In this particular example, we simply try to fit random 512-dimensional vectors to random booleans with a linear layer. Here is the script:

            ...

            ANSWER

            Answered 2021-Jun-17 at 17:12

            Regarding the pytree computations: as written your functions are returning the input unmodified. The better approach for this is to use jax.tree_util.tree_map; for example:

            Source https://stackoverflow.com/questions/68016425

            QUESTION

            How to write a JAX custom vector-Jacobian product (vjp) for softmax
            Asked 2021-Jun-01 at 16:27

            In order to understand JAX's reverse mode auto-diff I tried to write a custom_vjp for softmax like this:

            ...

            ANSWER

            Answered 2021-Jun-01 at 16:27

            According to the custom_vjp docs:

            The output of bwd must be a tuple of length equal to the number of arguments of the primal function

            So the return statement in the backward pass should look like this:

            Source https://stackoverflow.com/questions/67790625

            QUESTION

            PyDev attach to process fails with `ModuleNotFoundError: No module named 'add_code_to_python_process'`
            Asked 2020-Dec-17 at 10:56

            I am trying to use PyDev to attach to a process on MS-Windows 10. Actually, to be more precise I was doing this. It worked wonderfully and I value it immensely, but now doesn't work and I wonder why.

            I always do this to the same process, it is one written in C++ that loads a python interpreter internally to run Python plugin code. I have in past been happily breaking inside the plugin code and debugging with PyDev.

            Come Dec 2020 and I try again and I get this error when trying to attach to the same process:

            ...

            ANSWER

            Answered 2020-Dec-17 at 10:56

            It's really a bit odd that it doesn't find it given that it's alongside attach_pydevd.py and given that attach_pydevd.py is executed as a __main__ module it should (in theory) be able to find it... but practice it seems is sometimes different ;)

            So, try to do the following: open attach_pydevd.py and add sys.path.append(os.path.dirname(__file__)) as the first line of the def main(setup): to see if it fixes your issue (if it does, I'll also do the fix in the debugger side).

            Source https://stackoverflow.com/questions/65316391

            QUESTION

            Error installing SHAP package in virtual environment pycharm MAC
            Asked 2020-Jul-26 at 18:53

            I am working on a project in pycharm which is in a virtual environment on Mac OS. I have been trying to install the SHAP package unfortunately it is not working out. Below is the full error message. There seems to be a problem with an SDK that does not seem to exist, but when I install the package outside of the virtual environment I do not encounter any problem.

            ...

            ANSWER

            Answered 2020-Jul-24 at 23:05

            I'm having difficulty with the latest shap library.

            Therefore I'm currently using shap==0.31.0 version

            I wanted to use shap packages along with the tensorflow and keras

            Here is the working combination for me:

            Source https://stackoverflow.com/questions/63010312

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

            Vulnerabilities

            No vulnerabilities reported

            Install pyTree

            You can install using 'pip install pyTree' or download it from GitHub, PyPI.
            You can use pyTree 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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            Install
          • PyPI

            pip install pyTree

          • CLONE
          • HTTPS

            https://github.com/yoyzhou/pyTree.git

          • CLI

            gh repo clone yoyzhou/pyTree

          • sshUrl

            git@github.com:yoyzhou/pyTree.git

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