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ci/official/README.md
# Ex. py310 -- Python 3.10 # Ex. py311 -- Python 3.11 # Ex. py312 -- Python 3.12 # 2. Choose the platform, which corresponds to the version of TensorFlow to # build. This should also match the system you're using--you cannot build # the TF MacOS package from Linux. # Ex. linux_x86 -- x86_64 Linux platform # Ex. linux_x86_cuda -- x86_64 Linux platform, with Nvidia CUDA support
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README.md
* Checkout the [Community Resources](https://gradle.org/resources/) as well * Join our [Slack Channel](https://gradle.com/slack-invite) ## Contributing If you're looking to contribute to Gradle or provide a patch/pull request, you can find more info [here](https://github.com/gradle/gradle/blob/master/CONTRIBUTING.md).
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docs/compression/README.md
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. Decompressing incompressible data has no significant performance impact. Below is a list of common files and content-types which are typically not suitable for compression. - Extensions
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docs/select/README.md
example, let us take a gzip compressed CSV file. Without S3 Select, we would need to download, decompress and process the entire CSV to get the data you needed. With Select API, can use a simple SQL expression to return only the data from the CSV you’re interested in, instead of retrieving the entire object. Following Python example shows how to retrieve the first column `Location` from an object containing data in CSV format. Please replace ``endpoint_url``,``aws_access_key_id``, ``aws_secret_access_key``,...
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docs/lambda/README.md
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docs/distributed/README.md
## Get started If you're aware of stand-alone MinIO set up, the process remains largely the same. MinIO server automatically switches to stand-alone or distributed mode, depending on the command line parameters. ### 1. Prerequisites
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README.md
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