description: High Performance Object Storage
    digest: 5f927286767c285b925a3395e75b4f372367f83d2124395185e21dc7fd4ca177
    home: https://min.io
    icon: https://min.io/resources/img/logo/MINIO_wordmark.png
    keywords:
    - minio
    - storage
    - object-storage
    - s3
    - cluster
    maintainers:
    - email: ******@****.***
      name: MinIO, Inc
    name: minio
    sources:

        final List<String> keywords = getKeywords(q, new String[] { field });
        if (MAX_QUERY_TERM_NUM < keywords.size()) {
            return new String[0];
        }
        for (final String k : keywords) {
            if (MAX_QUERY_TERM_LENGTH < k.length()) {
                return new String[0];
            }
        }
        return keywords.toArray(new String[keywords.size()]);
    }

apiVersion: v1
description: High Performance Object Storage
name: minio
version: 5.3.0
appVersion: RELEASE.2024-04-18T19-09-19Z
keywords:
  - minio
  - storage
  - object-storage
  - s3
  - cluster
home: https://min.io
icon: https://min.io/resources/img/logo/MINIO_wordmark.png
sources:
- https://github.com/minio/minio
maintainers:
- name: MinIO, Inc

# This version is never actually shipped. istio/release-builder will replace it at build-time
# with the appropriate version
version: 1.0.0
appVersion: 1.0.0
description: Helm chart for deploying Istio cluster resources and CRDs
keywords:
  - istio
sources:
  - https://github.com/istio/istio

identifiers:
repository-code: 'https://github.com/fastapi/fastapi'
url: 'https://fastapi.tiangolo.com'
abstract: >-
  FastAPI framework, high performance, easy to learn, fast to code,
  ready for production
keywords:
  - fastapi
  - pydantic
  - starlette

            String[] keywords = query.split(" ");
            assertTrue(doc.entrySet().stream()
                    .anyMatch(entry -> entry.getValue().toString().toLowerCase().contains(keywords[0].toLowerCase())), doc.toString());
            assertFalse(doc.entrySet().stream()
                    .anyMatch(entry -> entry.getValue().toString().toLowerCase().contains(keywords[2].toLowerCase())), doc.toString());
        }

     * those keywords are replaced by, for example, the actual timestamp.
     *
     * @see ArtifactCoordinates#getVersionConstraint()
     */
    @Nonnull
    Version getVersion();

    /**
     * {@return the version or meta-version of the artifact}
     * A meta-version is a version suffixed with the {@code SNAPSHOT} keyword.

          build-mode: none # This mode only analyzes Java. Set this to 'autobuild' or 'manual' to analyze Kotlin too.
        - language: javascript-typescript
          build-mode: none
        # CodeQL supports the following values keywords for 'language': 'c-cpp', 'csharp', 'go', 'java-kotlin', 'javascript-typescript', 'python', 'ruby', 'swift'
        # Use `c-cpp` to analyze code written in C, C++ or both

So, we get a Pydantic model from the data in another Pydantic model.

#### Unwrapping a `dict` and extra keywords

And then adding the extra keyword argument `hashed_password=hashed_password`, like in:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

...ends up being like:

```Python
UserInDB(

	Xattrs map[string]string

	// PAXRecords is a map of PAX extended header records.
	//
	// User-defined records should have keys of the following form:
	//	VENDOR.keyword
	// Where VENDOR is some namespace in all uppercase, and keyword may
	// not contain the '=' character (e.g., "GOLANG.pkg.version").
	// The key and value should be non-empty UTF-8 strings.
	//