promypy | Progressive type annotation without regression! 🚀 | Data Labeling library

 by   Kludex Python Version: 0.3.0 License: MIT

kandi X-RAY | promypy Summary

kandi X-RAY | promypy Summary

promypy is a Python library typically used in Artificial Intelligence, Data Labeling applications. promypy has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can install using 'pip install promypy' or download it from GitHub, PyPI.

Progressive type annotation without regression!
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            kandi-support Support

              promypy has a low active ecosystem.
              It has 18 star(s) with 2 fork(s). There are 1 watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              There are 0 open issues and 2 have been closed. On average issues are closed in 0 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of promypy is 0.3.0

            kandi-Quality Quality

              promypy has no bugs reported.

            kandi-Security Security

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

            kandi-License License

              promypy 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

              promypy releases are available to install and integrate.
              Deployable package is available in PyPI.
              Build file is available. You can build the component from source.
              Installation instructions, examples and code snippets are available.

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            Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of promypy
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            promypy Key Features

            No Key Features are available at this moment for promypy.

            promypy Examples and Code Snippets

            Usage,Dump
            Pythondot img1Lines of Code : 11dot img1License : Permissive (MIT)
            copy iconCopy
            Usage: promypy dump [OPTIONS] FILES...
            
              Generate a list of files that are not fully type annotated.
            
            Arguments:
              FILES...  [required]
            
            Options:
              --mypy-args TEXT
              --output TEXT
              --help            Show this message and exit.
              
            Usage,Check
            Pythondot img2Lines of Code : 11dot img2License : Permissive (MIT)
            copy iconCopy
            Usage: promypy check [OPTIONS] FILES...
            
              Check the given files with mypy, applying a set of custom rules.
            
            Arguments:
              FILES...  [required]
            
            Options:
              -f, --ignore-file PATH  [required]
              --mypy-args TEXT
              --help                  Show this messa  
            Usage,Pre-commit
            Pythondot img3Lines of Code : 6dot img3License : Permissive (MIT)
            copy iconCopy
              - repo: https://github.com/Kludex/promypy
                rev: 0.2.0
                hooks:
                  - id: promypy
                    args:
                    - --ignore-file=
              

            Community Discussions

            QUESTION

            How can I do this split process in Python?
            Asked 2021-Dec-30 at 14:06

            I'm trying to make a data labeling in a table, and I need to do it in such a way that, in each row, the index is repeated, however, that in each column there is another Enum class.

            What I've done so far is make this representation with the same enumerator class.

            A solution using the column separately as a list would also be possible. But what would be the best way to resolve this?

            ...

            ANSWER

            Answered 2021-Dec-30 at 13:57

            Instead of using Enum you can use a dict mapping. You can avoid loops if you flatten your dataframe:

            Source https://stackoverflow.com/questions/70532286

            QUESTION

            Replacing a character with a space and dividing the string into two words in R
            Asked 2020-Nov-18 at 07:32

            I have a dataframe that contains a column that includes strings separeted with semi-colons and it is followed by a space. But unfortunately in some of the strings there is a semi-colon that is not followed by a space.

            In this case, This is what i'd like to do: If there is a space after the semi-colon we do not need a change. However if there are letters before and after the semi-colon, we should change semi-colon with space

            i have this:

            ...

            ANSWER

            Answered 2020-Nov-16 at 07:24

            QUESTION

            Azure ML FileDataset registers, but cannot be accessed for Data Labeling project
            Asked 2020-Oct-28 at 20:31

            Objective: Generate a down-sampled FileDataset using random sampling from a larger FileDataset to be used in a Data Labeling project.

            Details: I have a large FileDataset containing millions of images. Each filename contains details about the 'section' it was taken from. A section may contain thousands of images. I want to randomly select a specific number of sections and all the images associated with those sections. Then register the sample as a new dataset.

            Please note that the code below is not a direct copy and paste as there are elements such as filepaths and variables that have been renamed for confidentiality reasons.

            ...

            ANSWER

            Answered 2020-Oct-27 at 22:39

            Is the data behind virtual network by any chance?

            Source https://stackoverflow.com/questions/64546521

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

            Vulnerabilities

            No vulnerabilities reported

            Install promypy

            You can install using 'pip install promypy' or download it from GitHub, PyPI.
            You can use promypy 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 promypy

          • CLONE
          • HTTPS

            https://github.com/Kludex/promypy.git

          • CLI

            gh repo clone Kludex/promypy

          • sshUrl

            git@github.com:Kludex/promypy.git

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