autoconfig | Simple environment , logging , and sys.path setup | Configuration Management library

 by   mkleehammer Python Version: 5.0.0 License: MIT License

kandi X-RAY | autoconfig Summary

kandi X-RAY | autoconfig Summary

autoconfig is a Python library typically used in Devops, Configuration Management, Ansible applications. autoconfig has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However autoconfig build file is not available. You can install using 'pip install autoconfig' or download it from GitLab, PyPI.

A module to easily configure a Python program from a configuration file:.
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            kandi-support Support

              autoconfig has a low active ecosystem.
              It has 4 star(s) with 0 fork(s). There are no watchers for this library.
              OutlinedDot
              It had no major release in the last 12 months.
              autoconfig has no issues reported. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of autoconfig is 5.0.0

            kandi-Quality Quality

              autoconfig has no bugs reported.

            kandi-Security Security

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

            kandi-License License

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

            kandi-Reuse Reuse

              autoconfig releases are available to install and integrate.
              Deployable package is available in PyPI.
              autoconfig 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.

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            autoconfig Key Features

            No Key Features are available at this moment for autoconfig.

            autoconfig Examples and Code Snippets

            No Code Snippets are available at this moment for autoconfig.

            Community Discussions

            QUESTION

            ValueError with NERDA model import
            Asked 2021-Jun-08 at 21:38

            I'm trying to import the NERDA library in order use it to engage in a Named-Entity Recognition task in Python. I initially tried importing the library in a jupyter notebook and got the following error:

            ...

            ANSWER

            Answered 2021-Jun-08 at 21:38

            Take a look at the source code of the used huggingface_hub lib. They comparing the version of your python version to do different imports.
            But you uses a release candidate python version (this tells the value '6rc1', that caused the error). Because they didn't expect/handle this, you get the int-parse-ValueError.

            Solution 1:
            Update your python version to a stable version. No release candidate. So you have an int-only version number.

            Solution 2:
            Monkeypatch sys.version, before you import the NERDA libs.

            Source https://stackoverflow.com/questions/67894649

            QUESTION

            Exception initializing level
            Asked 2021-May-06 at 04:59

            Hey im playing minecraft with a own created modpack i made on curseforge but im getting the following error/crash when i create a world.

            ...

            ANSWER

            Answered 2021-May-05 at 12:40

            You're using dev.onyxstudios.cca, whatever that might be, and it is using reflection to get at a field named type of some unspecified class.

            It is either trying to get at the field named type of one of JDK's own classes, in which case the fix is to uninstall whatever JDK you installed and install AdoptOpenJDK11: You're on a too-new version of java and these most recent versions have been breaking apps left and right by disabling aspects of the reflective API.

            Or, it is trying to get to a field named type in one of the classes of the FABRIC project, perhaps, whatever that might be, based on the content of this error message. In which case, the problem is a version incompatibility between these two plugins. Look up the project pages of these 2 plugins and install 2 versions whose release dates are close together. This usually involves downgrading the more recently updated one.

            Source https://stackoverflow.com/questions/67401380

            QUESTION

            Wav2Vec pytorch element 0 of tensors does not require grad and does not have a grad_fn
            Asked 2021-Apr-30 at 21:47

            I am retraining a wav2vec model from hugging face for classification problem. I have 5 classes and the input is a list of tensors [1,400]. Here is how I am getting the model

            ...

            ANSWER

            Answered 2021-Apr-30 at 21:47

            QUESTION

            Logback in a Java modular application not working
            Asked 2021-Apr-14 at 15:43

            I am just starting to master modular applications and I have a problem with the logback.

            Before modularity was introduced into the project, Logback successfully worked with the same settings.

            As soon as I start working with the LoggerContext and add the line requires ch.qos.logback.classic to the module-info.java, the application crashes.

            Crash occurs in the line receiving the logger:

            ...

            ANSWER

            Answered 2021-Apr-14 at 14:28

            QUESTION

            How to use ElasticsearchRestClientAutoConfiguration with spring-boot?
            Asked 2021-Mar-22 at 14:28

            i want ElasticSearch with autoconfiguration, set application.yml like below:

            ...

            ANSWER

            Answered 2021-Mar-22 at 14:28

            Your application.yml is enough. You don't need to create a configuration class, if your goal is simply use the default configurations for the ElasticsearchRestClient. Spring boot will identify that spring-data-elasticsearch is on the classpath and trigger the auto-configuration using the properties on your application.yml.

            In fact, you should not extend ElasticsearchRestClientAutoConfiguration. This is just a auto-configuration class triggered by Spring Boot in order to configure your Elasticsearch Client.

            If you need to programmatically supply any configuration for your client through Java, instead of your configuration file, then you can manually configure a client by extending AbstractElasticsearchConfiguration to configure yourself a RestHighLevelClient

            Resources that may help you:

            Spring Data Elasticsearch Reference Documentation

            AbstractElasticsearchConfiguration javadoc

            Source https://stackoverflow.com/questions/66745757

            QUESTION

            Android emulator not running but no crash either
            Asked 2021-Mar-02 at 13:53

            I'm trying to put my Android emulators on another hard drive disk, so I followed this youtube video which didn't work for me, and this article which didn't work either.

            I've moved the avd file in my other folder (/Volumes/Samsung_T5/Android/avd)

            and updated my .ini as follow:

            ...

            ANSWER

            Answered 2021-Mar-02 at 13:53

            The reason it wouldn't start is because there was some write/read issue with the external storage, I've updated and gave the right needed and it works now

            Source https://stackoverflow.com/questions/66424592

            QUESTION

            getStaticProps returns empty object at prod and dev (next v9.5.1)
            Asked 2020-Dec-22 at 18:36

            I'm running into a weird issue. using the latest nextjs @9.5.1 Here's the code in question:

            ...

            ANSWER

            Answered 2020-Aug-11 at 15:53

            So basically the issue was related to next-redux-wrapper package. It was updated after the lastest Nextjs features and so when I updated my project to v9.5.1, getStaticProps didn't work because I never upgraded the next-redux-wrapper version nor config.

            Hope this saves somebody's time in the future. As suggested by Nextjs contributor, this example here explains it all https://github.com/vercel/next.js/tree/canary/examples/with-redux-wrapper

            Source https://stackoverflow.com/questions/63312375

            QUESTION

            Metrics mismatch between BertForSequenceClassification Class and my custom Bert Classification
            Asked 2020-Dec-11 at 11:25

            I implemented my custom Bert Binary Classification Model class, by adding a classifier layer on top of Bert Model (attached below). However, the accuracy/metrics are significantly different when I train with the official BertForSequenceClassification model, which makes me wonder if I am missing somehting in my class.

            Few Doubts I have:

            While loading the official BertForSequenceClassification from_pretrained are the classifiers weight initialized as well from pretrained model or they are randomly initialized? Because in my custom class they are randomly initialized.

            ...

            ANSWER

            Answered 2020-Dec-11 at 00:45

            Each model tells you via a warning message which layers are randomly initialized when you use the method from_pretrained:

            Source https://stackoverflow.com/questions/65242786

            QUESTION

            How to share a common helper file among multiple python projects?
            Asked 2020-Dec-01 at 07:09

            I have multiple web scraping projects (python + scrapy)

            I have a common helper file, that I include in all of these projects, the helper file is something like this:

            helper.py

            ...

            ANSWER

            Answered 2020-Dec-01 at 07:09

            you could save this file in your python libs folder or site-packages folder. This is where all your python packages are stored. you can then import this file anywhere in your python projects or any of your python projects.

            Source https://stackoverflow.com/questions/65086040

            QUESTION

            WLAN_NOTIFICATION_MSM NotificationCode 59
            Asked 2020-Oct-21 at 02:21

            I'm writing a kind of wrapper over wlanapi. When receiving notifications via WlanRegisterNotification I'm getting unexpected media-specific module (MSM) notification with code 59 (which is 0x3B in hex). WLAN_NOTIFICATION_MSM MSDN page does not contain any helpful information. My wlanapi.h does not contain such value as well, in fact this enumeration is zero-based and contain only 18 values - from 0 to 17.

            Does anybody knows the meaning of such notification, and why it is not documented at all?

            Here is what I have so far.

            Looks like this notification is a part of regular connection process. That is, I'm getting it when connecting to a wireless network - regardless of previous connection state. Here is the notification sequence which happens each time when I connect to a network:

            ...

            ANSWER

            Answered 2020-Oct-21 at 02:21

            This is by design.

            The 0n59 notification code is a private notification code that is processed by the OS when the wireless network may be undergoing a network speed change.

            For the end developer, this should be ignored by the end developer as it is not documented and subject to change in the future since it is a private notification handled by underlying OS.

            Note:This will only be sent on newer OS now (Windows 10) when disabling and re-enabling the wireless network. This notification is not sent for older OS (example, Windows 7, Windows 8.1)

            Source https://stackoverflow.com/questions/63916457

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

            Vulnerabilities

            No vulnerabilities reported

            Install autoconfig

            You can install using 'pip install autoconfig' or download it from GitLab, PyPI.
            You can use autoconfig 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 GitLab. If you have any questions check and ask questions on community page Stack Overflow .
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            Install
          • PyPI

            pip install autoconfig

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            https://gitlab.com/mkleehammer/autoconfig.git

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            git@gitlab.com:mkleehammer/autoconfig.git

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