batche | Batch cache decorator
kandi X-RAY | batche Summary
kandi X-RAY | batche Summary
batche is a Python library. batche has no bugs, it has no vulnerabilities, it has a Permissive License and it has low support. However batche build file is not available. You can download it from GitHub.
batche provides a Python decorator analogous to lru_cache but for functions that transform list objects. Where lru_cache caches the results of a function call for a given set of arguments naively - for instance treating the batch inputs (1, 2, 3) and (1, 3, 2) as entirely different. batche introduces cache_batch_variable to cache on a per-item basis for a given batch variable. It helps in reducing computation by caching the outputs of each previously processed input in the batch. The cache is maintained using a dictionary or an LRU (Least Recently Used) Cache, based on the maxsize parameter. If maxsize is not provided, the cache will be a simple dictionary. This is useful when you have a costly function that takes a batch of items as input and returns a list of predictions. If you call this function multiple times with overlapping batches, the results for the overlapping examples will be fetched from the cache, improving the performance.
batche provides a Python decorator analogous to lru_cache but for functions that transform list objects. Where lru_cache caches the results of a function call for a given set of arguments naively - for instance treating the batch inputs (1, 2, 3) and (1, 3, 2) as entirely different. batche introduces cache_batch_variable to cache on a per-item basis for a given batch variable. It helps in reducing computation by caching the outputs of each previously processed input in the batch. The cache is maintained using a dictionary or an LRU (Least Recently Used) Cache, based on the maxsize parameter. If maxsize is not provided, the cache will be a simple dictionary. This is useful when you have a costly function that takes a batch of items as input and returns a list of predictions. If you call this function multiple times with overlapping batches, the results for the overlapping examples will be fetched from the cache, improving the performance.
Support
Quality
Security
License
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Support
batche has a low active ecosystem.
It has 2 star(s) with 0 fork(s). There are no watchers for this library.
It had no major release in the last 12 months.
batche has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of batche is 0.1.1
Quality
batche has no bugs reported.
Security
batche has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
License
batche is licensed under the MIT License. This license is Permissive.
Permissive licenses have the least restrictions, and you can use them in most projects.
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batche releases are available to install and integrate.
batche 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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Currently covering the most popular Java, JavaScript and Python libraries. See a Sample of batche
batche Key Features
No Key Features are available at this moment for batche.
batche Examples and Code Snippets
No Code Snippets are available at this moment for batche.
Community Discussions
No Community Discussions are available at this moment for batche.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install batche
You can download it from GitHub.
You can use batche 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 batche 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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