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For those that have been implemented before, our implementation is much faster.
While it is nice to implement molarMass with just a single line of code our implementation is not very safe.
Our implementation is available at http://www.sf.net/projects/catchconv.sf.net/projects/catchconv
Our implementation is specific to HTTP computer network traffic.
The source code of our implementation is made publicly available.
Our implementation is shown to be able to achieve second-order accuracy globally.
Our implementation is not meant to follow the precise specification of the Python type system.
The other parameter in our implementation is the surface area alloted for hemispheres of leaf nodes.
The other parameter in our implementation is the surface area allotted for hemispheres of leaf nodes.
Our implementation is massively parallel and vectorized to reduce run time even further.
The algorithm is highly parallelizable and our implementation is virtually architecture-independent.
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