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Remove some documentation that was not necessary.
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@@ -3,8 +3,6 @@ This caching is very important for speed and memory optimizations. There's
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nothing really spectacular, just some decorators. The following cache types are
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nothing really spectacular, just some decorators. The following cache types are
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available:
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available:
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- module caching (`load_parser` and `save_parser`), which uses pickle and is
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really important to assure low load times of modules like ``numpy``.
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- ``time_cache`` can be used to cache something for just a limited time span,
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- ``time_cache`` can be used to cache something for just a limited time span,
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which can be useful if there's user interaction and the user cannot react
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which can be useful if there's user interaction and the user cannot react
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faster than a certain time.
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faster than a certain time.
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