cuda_find_in_files | CudaText plugin to find/replace in multiple files
kandi X-RAY | cuda_find_in_files Summary
kandi X-RAY | cuda_find_in_files Summary
cuda_find_in_files is a Python library. cuda_find_in_files has no bugs, it has no vulnerabilities and it has low support. However cuda_find_in_files build file is not available. You can download it from GitHub.
Plugin "Find in Files" for CudaText. Gives dialog to search/replace in multiple files. Author: A.Kvichanskiy (kvichans at forum/github).
Plugin "Find in Files" for CudaText. Gives dialog to search/replace in multiple files. Author: A.Kvichanskiy (kvichans at forum/github).
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Security
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Support
cuda_find_in_files has a low active ecosystem.
It has 5 star(s) with 2 fork(s). There are 2 watchers for this library.
It had no major release in the last 12 months.
There are 12 open issues and 218 have been closed. On average issues are closed in 107 days. There are 1 open pull requests and 0 closed requests.
It has a neutral sentiment in the developer community.
The latest version of cuda_find_in_files is ver-1.1.2
Quality
cuda_find_in_files has no bugs reported.
Security
cuda_find_in_files has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
cuda_find_in_files does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
Reuse
cuda_find_in_files releases are available to install and integrate.
cuda_find_in_files has no build file. You will be need to create the build yourself to build the component from source.
Top functions reviewed by kandi - BETA
kandi has reviewed cuda_find_in_files and discovered the below as its top functions. This is intended to give you an instant insight into cuda_find_in_files implemented functionality, and help decide if they suit your requirements.
- Sets up self cfg
- Returns the actions for actions
- Update the cfg
- Prepare the vpr output
- Show menu
- Return a dictionary of attributes
- Take the value of a variable and return it
- Consume the input buffer
- Return the state of the model
- Feed a chunk of characters
- Gets the order of the given buffer
- Gets the confidence
- Determine the order of the given buffer
- Generates a description of the given lines
- Return the order of the character in the buffer
- Feed a buffer
- Get the order of the character in the buffer
- Show the details of the RLS command
- Get command description
- Return the character set name
- Feed the character
- Get a gettext translation function
- Feed the input buffer
- Setup the controls
- Get the history for a key
- Feed data into the state machine
Get all kandi verified functions for this library.
cuda_find_in_files Key Features
No Key Features are available at this moment for cuda_find_in_files.
cuda_find_in_files Examples and Code Snippets
No Code Snippets are available at this moment for cuda_find_in_files.
Community Discussions
No Community Discussions are available at this moment for cuda_find_in_files.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install cuda_find_in_files
You can download it from GitHub.
You can use cuda_find_in_files 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.
You can use cuda_find_in_files 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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