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  1. docs/en/docs/advanced/settings.md

    Import `BaseSettings` from Pydantic and create a sub-class, very much like with a Pydantic model.
    
    The same way as with Pydantic models, you declare class attributes with type annotations, and possibly default values.
    
    You can use all the same validation features and tools you use for Pydantic models, like different data types and additional validations with `Field()`.
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 05 18:13:19 GMT 2026
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  2. api/maven-api-core/src/main/java/org/apache/maven/api/Constants.java

        @Config(defaultValue = "HARD")
        public static final String MAVEN_MODEL_PROCESSOR_REFERENCE_TYPE = "maven.model.processor.referenceType";
    
        /**
         * User property key prefix for configuring per-object-type reference types.
         * Format: maven.model.processor.referenceType.{ClassName} = {ReferenceType}
         * Example: maven.model.processor.referenceType.Dependency = SOFT
         *
         * @since 4.1.0
         */
    Created: Sun Apr 05 03:35:12 GMT 2026
    - Last Modified: Tue Dec 16 13:41:14 GMT 2025
    - 28.7K bytes
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  3. api/maven-api-core/src/main/java/org/apache/maven/api/services/ProjectManager.java

        /**
         * Set a given project property. Properties set through this method are only valid
         * for the current build session and do not modify the underlying project model.
         *
         * @param project the project to modify
         * @param key they property's key
         * @param value the value or {@code null} to unset the property
         */
    Created: Sun Apr 05 03:35:12 GMT 2026
    - Last Modified: Thu Jan 30 23:29:13 GMT 2025
    - 12K bytes
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  4. docs/en/docs/alternatives.md

    /// check | Inspired **FastAPI** to
    
    Define extra validations for data types using the "default" value of model attributes. This improves editor support, and it was not available in Pydantic before.
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Thu Mar 05 18:13:19 GMT 2026
    - 22.2K bytes
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  5. docs/en/docs/release-notes.md

    `hashed_password`. To fix this, the declared `response_model` is cloned, if it is a Pydantic model class (or contains Pydantic model classes in it, e.g. in a `List[Item]`), the Pydantic model class(es) will be a different one (the "cloned" one). So, an object that is a subclass won't simply pass the validation and returned as-is, because it is no longer a sub-class of the cloned `response_model`. Instead, a new Pydantic model object will be created with the contents of the returned object. So, it will be a...
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Apr 03 12:07:04 GMT 2026
    - 631K bytes
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  6. api/go1.6.txt

    pkg image, method (*NYCbCrA) At(int, int) color.Color
    pkg image, method (*NYCbCrA) Bounds() Rectangle
    pkg image, method (*NYCbCrA) COffset(int, int) int
    pkg image, method (*NYCbCrA) ColorModel() color.Model
    pkg image, method (*NYCbCrA) NYCbCrAAt(int, int) color.NYCbCrA
    pkg image, method (*NYCbCrA) Opaque() bool
    pkg image, method (*NYCbCrA) SubImage(Rectangle) Image
    pkg image, method (*NYCbCrA) YCbCrAt(int, int) color.YCbCr
    Created: Tue Apr 07 11:13:11 GMT 2026
    - Last Modified: Wed Jan 13 23:40:13 GMT 2016
    - 12.9K bytes
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  7. cmd/update.go

    		uaAppend(" CPU ", fmt.Sprintf("(total_cpus:%d, total_cores:%d; vendor:%s; family:%s; model:%s; stepping:%d; model_name:%s)",
    			len(cpuMap), len(coreMap), cpu.VendorID, cpu.Family, cpu.Model, cpu.Stepping, cpu.ModelName))
    	}
    	uaAppend(")", "")
    
    	return strings.Join(userAgentParts, "")
    }
    
    func downloadReleaseURL(u *url.URL, timeout time.Duration, mode string) (content string, err error) {
    Created: Sun Apr 05 19:28:12 GMT 2026
    - Last Modified: Sun Sep 28 20:59:21 GMT 2025
    - 18.9K bytes
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  8. tests/test_openapi_separate_input_output_schemas.py

    
    def get_app_client(separate_input_output_schemas: bool = True) -> TestClient:
        app = FastAPI(separate_input_output_schemas=separate_input_output_schemas)
    
        @app.post("/items/", responses={402: {"model": Item}})
        def create_item(item: Item) -> Item:
            return item
    
        @app.post("/items-list/")
        def create_item_list(item: list[Item]):
            return item
    
        @app.get("/items/")
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Tue Feb 17 09:59:14 GMT 2026
    - 27.8K bytes
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  9. docs/tr/docs/tutorial/first-steps.md

    Ayrıca Pydantic modelleri de döndürebilirsiniz (bununla ilgili daha fazlasını ileride göreceksiniz).
    
    Otomatik olarak JSON'a dönüştürülecek (ORM'ler vb. dahil) başka birçok nesne ve model vardır. En sevdiğiniz nesne/model'leri kullanmayı deneyin; büyük ihtimalle zaten destekleniyordur.
    
    ### Adım 6: Deploy edin { #step-6-deploy-it }
    
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Mar 20 07:53:17 GMT 2026
    - 14.4K bytes
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  10. docs/zh-hant/docs/features.md

    如果你寫帶有 Python 型別的程式碼:
    
    ```Python
    from datetime import date
    
    from pydantic import BaseModel
    
    # 宣告一個變數為 string
    # 並在函式中獲得 editor support
    def main(user_id: str):
        return user_id
    
    
    # 宣告一個 Pydantic model
    class User(BaseModel):
        id: int
        name: str
        joined: date
    ```
    
    可以像這樣來使用:
    
    ```Python
    my_user: User = User(id=3, name="John Doe", joined="2018-07-19")
    
    second_user_data = {
        "id": 4,
    Created: Sun Apr 05 07:19:11 GMT 2026
    - Last Modified: Fri Mar 20 17:05:38 GMT 2026
    - 9.2K bytes
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