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docs/en/docs/release-notes.md
* 📝 Fix duplicated words in docstrings. PR [#15116](https://github.com/fastapi/fastapi/pull/15116) by [@AhsanSheraz](https://github.com/AhsanSheraz). * 📝 Add docs for `pyproject.toml` with `entrypoint`. PR [#15075](https://github.com/fastapi/fastapi/pull/15075) by [@tiangolo](https://github.com/tiangolo).
Created: Sun Apr 05 07:19:11 GMT 2026 - Last Modified: Fri Apr 03 12:07:04 GMT 2026 - 631K bytes - Click Count (0) -
lib/fips140/v1.26.0.zip
".go") if err != nil { log.Fatal(err) } if err := t.Execute(f, c); err != nil { log.Fatal(err) } if err := f.Close(); err != nil { log.Fatal(err) } log.Printf("Generating %s_fiat64.go...", c.Prefix) cmd := exec.Command("docker", "run", "--rm", "--entrypoint", "word_by_word_montgomery", "fiat-crypto:v0.0.9", "--lang", "Go", "--no-wide-int", "--cmovznz-by-mul", "--relax-primitive-carry-to-bitwidth", "32,64", "--internal-static", "--public-function-case", "camelCase", "--public-type-case", "camelCase",...
Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Jan 08 17:58:32 GMT 2026 - 660.3K bytes - Click Count (0) -
lib/fips140/v1.0.0-c2097c7c.zip
".go") if err != nil { log.Fatal(err) } if err := t.Execute(f, c); err != nil { log.Fatal(err) } if err := f.Close(); err != nil { log.Fatal(err) } log.Printf("Generating %s_fiat64.go...", c.Prefix) cmd := exec.Command("docker", "run", "--rm", "--entrypoint", "word_by_word_montgomery", "fiat-crypto:v0.0.9", "--lang", "Go", "--no-wide-int", "--cmovznz-by-mul", "--relax-primitive-carry-to-bitwidth", "32,64", "--internal-static", "--public-function-case", "camelCase", "--public-type-case", "camelCase",...
Created: Tue Apr 07 11:13:11 GMT 2026 - Last Modified: Thu Sep 25 19:53:19 GMT 2025 - 642.7K bytes - Click Count (0) -
RELEASE.md
accepts a `return_attention_scores` argument. When set to True, the layer returns the attention scores as an additional output argument. * Adds `tf.metrics.log_cosh` and `tf.metrics.logcosh` API entrypoints with the same implementation as their `tf.losses` equivalent. * For Keras model, the individual call of `Model.evaluate` uses no cached data for evaluation, while `Model.fit` uses cached data when `validation_data`Created: Tue Apr 07 12:39:13 GMT 2026 - Last Modified: Mon Mar 30 18:31:38 GMT 2026 - 746.5K bytes - Click Count (3)