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Description
Autotuning in programming has shown significant improvements in performance and portability across various fields. Nevertheless, the portability of autotuners is often limited when transitioning between different projects, primarily due to the necessity of a domain-informed search space representation for optimal outcomes and the fact that no single search method is universally effective for all challenges. OpenTuner has emerged as a novel framework designed to create multi-objective program autotuners that are domain-specific. This framework offers fully customizable configuration representations, an extensible technique representation for incorporating domain-specific methodologies, and a user-friendly interface to interact with the programs being tuned. One of OpenTuner's standout features is its ability to utilize a combination of diverse search techniques simultaneously; those that demonstrate strong performance are allocated larger testing budgets, while those that underperform are phased out. Consequently, this adaptability enhances the overall efficiency and effectiveness of the autotuning process.
Description
All components of a URL, including scheme, user, password, host, port, path, query, and fragment, can be accessed through their respective properties. Every manipulation of a URL results in a newly generated URL object, and the strings provided to the constructor or modification functions are automatically encoded to yield a canonical format. While standard properties return percent-decoded values, the raw_ variants should be used to obtain encoded strings. A human-readable version of the URL can be accessed using the .human_repr() method. Binary wheels for yarl are available on PyPI for operating systems such as Linux, Windows, and MacOS. In cases where you wish to install yarl on different systems like Alpine Linux—which does not comply with manylinux standards due to the absence of glibc—you will need to compile the library from the source using the provided tarball. This process necessitates having a C compiler and the necessary Python headers installed on your machine. It is important to remember that the uncompiled, pure-Python version is significantly slower. Nevertheless, PyPy consistently employs a pure-Python implementation, thus remaining unaffected by performance variations. Additionally, this means that regardless of the environment, PyPy users can expect consistent behavior from the library.
API Access
Has API
No
API Access
Has API
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
Yes
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
Yes
Linux
Yes
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
OpenTuner
Website
opentuner.org
Vendor Details
Company Name
Python Software Foundation
Country
United States
Website
pypi.org/project/yarl/