* **Renouvelable**:
    * Pydantic permet de définir de nouveaux types de données ou vous pouvez étendre la validation avec des méthodes sur un modèle décoré avec le<abbr title="en anglais: validator decorator"> décorateur de validation</abbr>

## Məcburi Olmayan Tələblər

Pydantic tərəfindən istifadə olunanlar:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - e-poçtun yoxlanılması üçün.
* <a href="https://docs.pydantic.dev/latest/usage/pydantic_settings/" target="_blank"><code>pydantic-settings</code></a> - parametrlərin idarə edilməsi üçün.

## Opcjonalne zależności

Używane przez Pydantic:

* <a href="https://github.com/JoshData/python-email-validator" target="_blank"><code>email-validator</code></a> - dla walidacji adresów email.

Używane przez Starlette:

* <a href="https://www.python-httpx.org" target="_blank"><code>httpx</code></a> - Wymagane jeżeli chcesz korzystać z `TestClient`.

      headers.add(name, value.toString())
    }

    /**
     * Adds a new header with the name and value. This may be used to add multiple headers with the
     * same name. Unlike [addHeader] this does not validate the name and
     * value.
     */
    fun addHeaderLenient(
      name: String,
      value: Any,
    ) = apply {
      addHeaderLenient(headers, name, value.toString())
    }

		}
	}

	r := &Reader{
		args:       args,
		buf:        bufio.NewReaderSize(csvIn, csvSplitSize*2),
		readCloser: readCloser,
		close:      make(chan struct{}),
	}

	// Assume args are validated by ReaderArgs.UnmarshalXML()
	newCsvReader := func(r io.Reader) *csv.Reader {
		ret := csv.NewReader(r)
		ret.Comma = []rune(args.FieldDelimiter)[0]
		ret.Comment = []rune(args.CommentCharacter)[0]

<a href="https://docs.pydantic.dev/" class="external-link" target="_blank">Pydantic</a> là một thư viện Python để validate dữ liệu hiệu năng cao.

Bạn có thể khai báo "hình dạng" của dữa liệu như là các lớp với các thuộc tính.

Và mỗi thuộc tính có một kiểu dữ liệu.

    if value is None:
        if field.required:
            return None, [get_missing_field_error(loc=loc)]
        else:
            return deepcopy(field.default), []
    v_, errors_ = field.validate(value, values, loc=loc)
    if isinstance(errors_, ErrorWrapper):
        return None, [errors_]
    elif isinstance(errors_, list):
        new_errors = _regenerate_error_with_loc(errors=errors_, loc_prefix=())

	} else {
		v, ok = r.Header[xhttp.AmzContentSha256]
	}

	// Skip if no header was set.
	if !ok {
		return true
	}

	// If x-amz-content-sha256 is set and the value is not
	// 'UNSIGNED-PAYLOAD' we should validate the content sha256.
	switch v[0] {
	case unsignedPayload, unsignedPayloadTrailer:
		return true
	case emptySHA256:
		// some broken clients set empty-sha256
		// with > 0 content-length in the body,

* **قابل توسعه**:
    * Pydantic اجازه میدهد تا data type های سفارشی تعریف شوند یا میتوانید اعتبارسنجی را با روش هایی به روی مدل ها با <abbr title="دکوریتور های اعتبارسنج">validator decorator</abbr> گسترش دهید.

  // * webhooks that use this option may be reordered to minimize the number of additional invocations.
  // * to validate an object after all mutations are guaranteed complete, use a validating admission webhook instead.
  //
  // Defaults to "Never".
  // +optional
  optional string reinvocationPolicy = 10;