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docs/compression/README.md
- Already compressed objects are not fit for compression since they do not have compressible patterns. Such objects do not produce efficient [`LZ compression`](https://en.wikipedia.org/wiki/LZ77_and_LZ78) which is a fitness factor for a lossless data compression. Pre-compressed input typically compresses in excess of 2GiB/s per core, so performance impact should be minimal even if precompressed data is re-compressed.
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docs/distributed/DESIGN.md
- In this algorithm, we also make sure that we spread the drives out evenly. MinIO server expands ellipses passed as arguments. Here is a sample expansion to demonstrate the process.
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docs/sts/client_grants/__init__.py
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