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docs/en/docs/release-notes.md
* 🔧 Update MkDocs for other languages. PR [#9734](https://github.com/tiangolo/fastapi/pull/9734) by [@tiangolo](https://github.com/tiangolo). * 👷 Refactor Docs CI, run in multiple workers with a dynamic matrix to optimize speed. PR [#9732](https://github.com/tiangolo/fastapi/pull/9732) by [@tiangolo](https://github.com/tiangolo).
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okhttp/src/test/resources/okhttp3/internal/publicsuffix/public_suffix_list.dat
jetzt // jewelry : 2015-03-05 Binky Moon, LLC jewelry // jio : 2015-04-02 Reliance Industries Limited jio // jll : 2015-04-02 Jones Lang LaSalle Incorporated jll // jmp : 2015-03-26 Matrix IP LLC jmp // jnj : 2015-06-18 Johnson & Johnson Services, Inc. jnj // joburg : 2014-03-24 ZA Central Registry NPC trading as ZA Central Registry joburg
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ci/official/README.md
- Continuous jobs (Run on every GitHub commit) - Uses `pycpp.sh` - Presubmit jobs (Run on every GitHub PR) - 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
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docs/en/docs/async.md
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RELEASE.md
* Update sklearn imports for deprecated packages. * Deprecate `Variable.count_up_to` and `tf.count_up_to` in favor of `Dataset.range`. * Export `confusion_matrix` op as `tf.math.confusion_matrix` instead of `tf.train.confusion_matrix`. * Add `tf.dtypes.` endpoint for every constant in dtypes.py. Moving endpoints in versions.py to corresponding endpoints in `tf.sysconfig.`
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CHANGELOG/CHANGELOG-1.22.md
### Workloads that saturate nodes with pods may see pods that fail due to node admission
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docs/de/docs/async.md
* **Maschinelles Lernen**: Normalerweise sind viele „Matrix“- und „Vektor“-Multiplikationen erforderlich. Stellen Sie sich eine riesige Tabelle mit Zahlen vor, in der Sie alle Zahlen gleichzeitig multiplizieren.
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