*/
    Integer getQueryHighlightBoundaryMaxScanAsInteger();

    /**
     * Get the value for the key 'query.highlight.boundary.scanner'. <br>
     * The value is, e.g. chars <br>
     * comment: Scanner type for query highlight boundaries.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */

got %v, want %v", result, expected) } }) default: t.Fatalf("unknown key %q on line %d", k, lineNum) } } if err := scanner.Err(); err != nil { t.Fatal(err) } } func TestTotient(t *testing.T) { f, err := os.Open("testdata/gcd_lcm_tests.txt") if err != nil { t.Fatal(err) } var GCD, A, B, LCM string var lineNum int scanner := bufio.NewScanner(f) for scanner.Scan() { lineNum++ line := scanner.Text() if len(line) == 0 || line[0] == '#' { continue } k, v, _ := strings.Cut(line, " = ") switch k { case "GCD":...

s\n@keyframes spinner-border {\n  to { transform: rotate(360deg) #{\"/* rtl:ignore */\"}; }\n}\n// scss-docs-end spinner-border-keyframes\n\n.spinner-border {\n  // scss-docs-start spinner-border-css-vars\n  --#{$prefix}spinner-width: #{$spinner-width};\n  --#{$prefix}spinner-height: #{$spinner-height};\n  --#{$prefix}spinner-vertical-align: #{$spinner-vertical-align};\n  --#{$prefix}spinner-border-width: #{$spinner-border-width};\n  --#{$prefix}spinner-animation-speed: #{$spinner-animation-speed};\n...

50%;\n  animation: .75s linear infinite spinner-border;\n}\n\n.spinner-border-sm {\n  width: $spinner-width-sm;\n  height: $spinner-height-sm;\n  border-width: $spinner-border-width-sm;\n}\n\n//\n// Growing circle\n//\n\n@keyframes spinner-grow {\n  0% {\n    transform: scale(0);\n  }\n  50% {\n    opacity: 1;\n    transform: none;\n  }\n}\n\n.spinner-grow {\n  display: inline-block;\n  width: $spinner-width;\n  height: $spinner-height;\n  vertical-align: $spinner-vertical-align;\n  background-color:...

        in early_s in Estimator
    *   Canned Estimators will now use keras optimizers by default. An error
        will be raised if tf.train.Optimizers are used, and you will have to
        switch to tf.keras.optimizers or tf.compat.v1 canned Estimators.
    *   A checkpoint converter for canned Estimators has been provided to
        transition canned Estimators that are warm started from

* ⬆ Upgrade version pin accepted for Flake8, for internal code, to `flake8 >=3.8.3,<6.0.0`. PR [#4097](https://github.com/tiangolo/fastapi/pull/4097) by [@jamescurtin](https://github.com/jamescurtin).
* 🍱 Update Jina banner, fix typo. PR [#5301](https://github.com/tiangolo/fastapi/pull/5301) by [@tiangolo](https://github.com/tiangolo).

## 0.80.0

### Breaking Changes - Fixes

1F950..1F95E  ; valid                  ;      ; NV8    # 9.0  CROISSANT..PANCAKES
1F95F..1F96B  ; valid                  ;      ; NV8    # 10.0 DUMPLING..CANNED FOOD
1F96C..1F970  ; valid                  ;      ; NV8    # 11.0 LEAFY GREEN..SMILING FACE WITH SMILING EYES AND THREE HEARTS
1F971         ; valid                  ;      ; NV8    # 12.0 YAWNING FACE