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doc/README.md
the CL (or ask the author to do so). At the end of the development cycle, the files will be merged by being concatenated in sorted order by pathname. Files in the directory matching the glob "*stdlib/*minor" are treated specially. They should be in subdirectories corresponding to standard library package paths, and headings for those package paths will be generated automatically.
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docs/bucket/replication/README.md
### Interaction with extended Bucket Versioning configuration When Bucket Versioning with excluded prefixes are configured objects matching these prefixes are excluded from being versioned and replicated. ``` <VersioningConfiguration xmlns="http://s3.amazonaws.com/doc/2006-03-01/"> <Status>Enabled</Status>
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docs/lambda/README.md
cat > testobject << EOF MinIO is a High Performance Object Storage released under GNU Affero General Public License v3.0. It is API compatible with Amazon S3 cloud storage service. Use MinIO to build high performance infrastructure for machine learning, analytics and application data workloads. EOF ``` Upload this object to the bucket via `mc cp` ``` mc cp testobject myminio/functionbucket/ ```
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docs/orchestration/docker-compose/README.md
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docs/compression/README.md
MinIO uses [`klauspost/compress/s2`](https://github.com/klauspost/compress/tree/master/s2) streaming compression due to its stability and performance. This algorithm is specifically optimized for machine generated content. Write throughput is typically at least 500MB/s per CPU core, and scales with the number of available CPU cores. Decompression speed is typically at least 1GB/s.
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ci/official/README.md
- Uses `pycpp.sh`, `code_check_changed_files.sh` These "env" files match up with an environment matrix that roughly covers: - Different Python versions - Linux, MacOS, and Windows machines (these pool definitions are internal) - x86 and arm64 - CPU-only, or with NVIDIA CUDA support (Linux only), or with TPUs ## How to Test Your Changes to TensorFlow
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docs/distributed/README.md
MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection. ## Why distributed MinIO?
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docs/debugging/README.md
### Remotely Inspecting backend data
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