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  1. docs/ru/docs/tutorial/response-model.md

    ///
    
    #### Данные со значениями для полей, имеющих значения по умолчанию { #data-with-values-for-fields-with-defaults }
    
    Но если в ваших данных есть значения для полей модели, для которых указаны значения по умолчанию, как у элемента с ID `bar`:
    
    ```Python hl_lines="3  5"
    {
        "name": "Bar",
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
    - 25.8K bytes
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  2. cmd/xl-storage-format_test.go

    	}
    	return xlMeta
    }
    
    // Compare the unmarshaled XLMetaV1 with the one obtained from jsoniter parsing.
    func compareXLMetaV1(t *testing.T, unMarshalXLMeta, jsoniterXLMeta xlMetaV1Object) {
    	// Start comparing the fields of xlMetaV1Object obtained from jsoniter parsing with one parsed using json unmarshalling.
    	if unMarshalXLMeta.Version != jsoniterXLMeta.Version {
    Registered: Sun Dec 28 19:28:13 UTC 2025
    - Last Modified: Fri Aug 29 02:39:48 UTC 2025
    - 17.5K bytes
    - Viewed (0)
  3. docs/es/docs/advanced/settings.md

    Puedes usar todas las mismas funcionalidades de validación y herramientas que usas para los modelos de Pydantic, como diferentes tipos de datos y validaciones adicionales con `Field()`.
    
    //// tab | Pydantic v2
    
    {* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}
    
    ////
    
    //// tab | Pydantic v1
    
    /// info | Información
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
    - 13.2K bytes
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  4. tests/update_test.go

    	}
    }
    
    func TestUpdateColumnsSkipsAssociations(t *testing.T) {
    	user := *GetUser("update_column_skips_association", Config{})
    	DB.Create(&user)
    
    	// Update a single field of the user and verify that the changed address is not stored.
    	newAge := uint(100)
    	user.Account.Number = "new_account_number"
    	db := DB.Model(&user).UpdateColumns(User{Age: newAge})
    
    	if db.RowsAffected != 1 {
    Registered: Sun Dec 28 09:35:17 UTC 2025
    - Last Modified: Mon Jul 21 02:46:58 UTC 2025
    - 30.4K bytes
    - Viewed (0)
  5. lib/fips140/v1.0.0-c2097c7c.zip

    = X/Z, y = Y/Z, and xy = T/Z per https://eprint.iacr.org/2008/522. x, y, z, t field.Element } type incomparable [0]func() func checkInitialized(points ...*Point) { for _, p := range points { if p.x == (field.Element{}) && p.y == (field.Element{}) { panic("edwards25519: use of uninitialized Point") } } } type projCached struct { YplusX, YminusX, Z, T2d field.Element } type affineCached struct { YplusX, YminusX, T2d field.Element } // Constructors. func (v *projP2) Zero() *projP2 { v.X.Zero() v.Y.One()...
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Thu Sep 25 19:53:19 UTC 2025
    - 642.7K bytes
    - Viewed (0)
  6. internal/hash/checksum.go

    		return nil
    	}
    	return map[string]string{
    		c.Type.String():       c.Encoded,
    		xhttp.AmzChecksumType: c.Type.ObjType(),
    	}
    }
    
    // Equal returns whether two checksum structs are equal in all their fields.
    func (c *Checksum) Equal(s *Checksum) bool {
    	if c == nil || s == nil {
    		return c == s
    	}
    	return c.Type == s.Type &&
    		c.Encoded == s.Encoded &&
    		bytes.Equal(c.Raw, s.Raw) &&
    Registered: Sun Dec 28 19:28:13 UTC 2025
    - Last Modified: Fri Aug 22 14:15:21 UTC 2025
    - 18.3K bytes
    - Viewed (0)
  7. docs/pt/docs/advanced/settings.md

    Você pode usar as mesmas funcionalidades e ferramentas de validação que usa em modelos do Pydantic, como diferentes tipos de dados e validações adicionais com `Field()`.
    
    //// tab | Pydantic v2
    
    {* ../../docs_src/settings/tutorial001_py39.py hl[2,5:8,11] *}
    
    ////
    
    //// tab | Pydantic v1
    
    /// info | Informação
    
    Registered: Sun Dec 28 07:19:09 UTC 2025
    - Last Modified: Wed Dec 17 20:41:43 UTC 2025
    - 13K bytes
    - Viewed (0)
  8. cmd/metrics-v3-types.go

    		bucketLoader:  loader,
    	}
    	mg.validate()
    	return mg
    }
    
    // AddExtraLabels - adds extra (constant) label KV pairs to the metrics group.
    // This is a helper to initialize the `ExtraLabels` field. The argument is a
    // list of ordered label name and value pairs.
    func (mg *MetricsGroup) AddExtraLabels(labels ...string) {
    	if len(labels)%2 != 0 {
    		panic("Labels must be an ordered list of name value pairs")
    	}
    Registered: Sun Dec 28 19:28:13 UTC 2025
    - Last Modified: Fri Feb 28 19:33:08 UTC 2025
    - 15.6K bytes
    - Viewed (0)
  9. api/go1.8.txt

    pkg debug/pe, type StringTable []uint8
    pkg encoding/base64, method (Encoding) Strict() *Encoding
    pkg encoding/json, method (RawMessage) MarshalJSON() ([]uint8, error)
    pkg encoding/json, type UnmarshalTypeError struct, Field string
    pkg encoding/json, type UnmarshalTypeError struct, Struct string
    pkg expvar, func Handler() http.Handler
    pkg expvar, method (*Float) Value() float64
    pkg expvar, method (Func) Value() interface{}
    Registered: Tue Dec 30 11:13:12 UTC 2025
    - Last Modified: Wed Dec 21 05:25:57 UTC 2016
    - 16.3K bytes
    - Viewed (0)
  10. internal/s3select/select_test.go

    		},
    		{
    			name:       "select-in-nested-float-no-flat",
    			query:      `SELECT s.nested from s3object s WHERE 8.5 IN s.nested[*]`,
    			wantResult: ``,
    		},
    		{
    			name:       "select-empty-field-result",
    			query:      `SELECT * from s3object s WHERE s.nested[0][0] = 2`,
    			wantResult: `{"id":3,"title":"Second Record","desc":"another text","nested":[[2,3,4],[7,8.5,9]]}`,
    		},
    		{
    Registered: Sun Dec 28 19:28:13 UTC 2025
    - Last Modified: Fri Aug 29 02:39:48 UTC 2025
    - 76.1K bytes
    - Viewed (0)
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