}

    @Override
    public Model read(Reader reader, boolean strict, InputSource source) throws IOException, XmlPullParserException {
        return super.read(reader, strict, source);
    }

    @Override
    public Model read(Reader reader, boolean strict) throws IOException, XmlPullParserException {
        return super.read(reader, strict);
    }

    @Override

// not a valid textual representation of an ETag.
func Parse(s string) (ETag, error) {
	const strict = false
	return parse(s, strict)
}

// parse parse s as an S3 ETag, returning the result.
// It operates in one of two modes:
//   - strict
//   - non-strict
//
// In strict mode, parse only accepts ETags that
// are AWS S3 compatible. In particular, an AWS

			for _, ver := range merged {
				if ver.header.Type == invalidVersionType {
					t.Errorf("Invalid result returned: %v", ver.header)
				}
			}
		})
		t.Run(fmt.Sprintf("strict-signature-q%d", i), func(t *testing.T) {
			// Mutate signature, non strict
			vMod := make([][]xlMetaV2ShallowVersion, 0, len(vers))
			for i, ver := range vers {
				newVers := make([]xlMetaV2ShallowVersion, 0, len(ver))
				for _, v := range ver {

#!/usr/bin/env bash

set -e
set -x

mypy fastapi
ruff check fastapi tests docs_src scripts

     * @param reader a reader object.
     * @param strict a strict object.
     * @throws IOException IOException if any.
     * @throws XmlPullParserException XmlPullParserException if
     * any.
     * @return Settings
     */
    public Settings read(Reader reader, boolean strict) throws IOException, XmlPullParserException {
        try {
            return new Settings(delegate.read(reader, strict, null));
        } catch (XMLStreamException e) {

                "{\"bool\":{\"should\":[{\"geo_distance\":{\"location\":[151.0,35.0],\"distance\":1000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}},{\"geo_distance\":{\"location\":[150.0,34.0],\"distance\":10000.0,\"distance_type\":\"arc\",\"validation_method\":\"STRICT\",\"ignore_unmapped\":false,\"boost\":1.0}}],\"adjust_pure_negative\":true,\"boost\":1.0}}";

"2.3 OK"
"2.4 OK"
"2.5 OK"
"2.6 OK"
"2.7 OK"
"2.8 OK"
"2.9 OK"
"3.1 OK"
"3.2 NON-STRICT"
"3.3 NON-STRICT"
"3.4 NON-STRICT"
"3.5 OK"
"3.6 OK"
"3.7 OK"
"4.1.1 OK"
"4.1.2 OK"
"4.1.3 NON-STRICT"
"4.1.4 NON-STRICT"
"4.1.5 OK"
"4.2.1 OK"
"4.2.2 OK"
"4.2.3 NON-STRICT"
"4.2.4 OK"
"4.2.5 OK"
"5.1 OK"
"5.10 OK"
"5.11 OK"
"5.12 OK"
"5.13 OK"
"5.14 OK"

    Die Option `--upgrade` weist `pip` an, die Packages zu aktualisieren, wenn sie bereits installiert sind.

    Da der vorherige Schritt des Kopierens der Datei vom **Docker-Cache** erkannt werden konnte, wird dieser Schritt auch **den Docker-Cache verwenden**, sofern verfügbar.

      - name: Install Dependencies
        run: uv pip install -r requirements-tests.txt
      - name: Install Pydantic v2
        run: uv pip install --upgrade "pydantic>=2.0.2,<3.0.0"
      - name: Lint
        run: bash scripts/lint.sh

  test:
    runs-on: ubuntu-latest
    strategy:
      matrix:
        python-version:
          - "3.12"
          - "3.11"
          - "3.10"
          - "3.9"
          - "3.8"

        Doc(
            """
            Parameter field name for discriminating the type in a tagged union.
            """
        ),
    ] = None,
    strict: Annotated[
        Union[bool, None],
        Doc(
            """
            If `True`, strict validation is applied to the field.
            """
        ),
    ] = _Unset,
    multiple_of: Annotated[
        Union[float, None],
        Doc(