client.models.msg ================= .. py:module:: client.models.msg .. autoapi-nested-parse:: Module providing BuildInfo schema and a other data transfer operation Response schemas. .. !! processed by numpydoc !! Classes ------- .. autoapisummary:: client.models.msg.BuildInfo client.models.msg.CheckPermissionsResponse client.models.msg.CopyMetadataRequest client.models.msg.FileDownloadTokenResponse client.models.msg.GetMetadataRequest client.models.msg.MetadataConfigResponse client.models.msg.MoveMetadataRequest client.models.msg.OpIdResponse client.models.msg.OpsRequest client.models.msg.PermissionsConfigResponse client.models.msg.RemoveMetadataRequest client.models.msg.SetMetadataRequest client.models.msg.Status client.models.msg.StorageConfigResponse client.models.msg.StoragePath client.models.msg.PathOperations client.models.msg.SrcDst client.models.msg.SrcDstOperations client.models.msg.OpsResponse client.models.msg.CheckPermissionsRequest client.models.msg.GetPermissionsRequest client.models.msg.GetPermissionsResponse client.models.msg.RemovePermissionsRequest client.models.msg.SetPermissionsRequest Module Contents --------------- .. py:class:: BuildInfo(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: branch :type: Optional[str] :value: None .. py:attribute:: mode :type: Optional[str] :value: None .. py:attribute:: revision :type: Optional[str] :value: None .. py:attribute:: short_revision :type: Optional[str] :value: None .. py:attribute:: timestamp :type: Optional[str] :value: None .. py:attribute:: version :type: Optional[str] :value: None .. py:attribute:: version_hash :type: Optional[str] :value: None .. py:class:: CheckPermissionsResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: allowed :type: Optional[bool] :value: None .. py:class:: CopyMetadataRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: recursive :type: Optional[bool] :value: None .. py:attribute:: src_dst :type: List[client.models.metadata.SrcDst] .. py:class:: FileDownloadTokenResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: token :type: Optional[str] :value: None .. py:class:: GetMetadataRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: paths :type: Optional[List[str]] :value: None .. py:class:: MetadataConfigResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: config :type: Optional[Dict[str, Any]] :value: None .. py:class:: MoveMetadataRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: recursive :type: Optional[bool] :value: None .. py:attribute:: src_dst :type: List[client.models.metadata.SrcDst] .. py:class:: OpIdResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: id :type: Optional[str] :value: '2diK2kCkpgeHAQSNthIZ1JYyPte' .. py:attribute:: location :type: Optional[str] :value: '/api/v1/operations/2diK2kCkpgeHAQSNthIZ1JYyPte' .. py:class:: OpsRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: ids :type: List[str] .. py:class:: PermissionsConfigResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: config :type: Optional[Dict[str, Any]] :value: None .. py:class:: RemoveMetadataRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: paths :type: List[str] .. py:attribute:: recursive :type: Optional[bool] :value: None .. py:class:: SetMetadataRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: metadata :type: SetMetadataRequest.metadata .. py:class:: Status(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: build_info :type: Optional[BuildInfo] :value: None .. py:attribute:: ready :type: Optional[bool] :value: None .. py:attribute:: time :type: Optional[str] :value: None .. py:class:: StorageConfigResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: storage :type: Optional[List[Dict[str, Any]]] :value: None .. py:class:: StoragePath(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: path :type: str .. py:attribute:: remote :type: Optional[str] :value: 'any' .. py:class:: PathOperations(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: operations :type: List[StoragePath] .. py:class:: SrcDst(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: dst :type: StoragePath .. py:attribute:: src :type: StoragePath .. py:class:: SrcDstOperations(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: operations :type: List[SrcDst] .. py:class:: OpsResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: operations :type: Optional[List[client.models.ops.Operation]] :value: None .. py:class:: CheckPermissionsRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: permissions :type: Optional[List[perms.RoleAssignment]] :value: None .. py:class:: GetPermissionsRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: permissions :type: Optional[List[perms.RoleQuery]] :value: None .. py:class:: GetPermissionsResponse(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: permissions :type: Optional[List[perms.RoleAssignment]] :value: None .. py:class:: RemovePermissionsRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: permissions :type: Optional[List[perms.RoleAssignment]] :value: None .. py:class:: SetPermissionsRequest(/, **data: Any) Bases: :py:obj:`pydantic.BaseModel` Usage docs: https://docs.pydantic.dev/2.10/concepts/models/ A base class for creating Pydantic models. Attributes: __class_vars__: The names of the class variables defined on the model. __private_attributes__: Metadata about the private attributes of the model. __signature__: The synthesized `__init__` [`Signature`][inspect.Signature] of the model. __pydantic_complete__: Whether model building is completed, or if there are still undefined fields. __pydantic_core_schema__: The core schema of the model. __pydantic_custom_init__: Whether the model has a custom `__init__` function. __pydantic_decorators__: Metadata containing the decorators defined on the model. This replaces `Model.__validators__` and `Model.__root_validators__` from Pydantic V1. __pydantic_generic_metadata__: Metadata for generic models; contains data used for a similar purpose to __args__, __origin__, __parameters__ in typing-module generics. May eventually be replaced by these. __pydantic_parent_namespace__: Parent namespace of the model, used for automatic rebuilding of models. __pydantic_post_init__: The name of the post-init method for the model, if defined. __pydantic_root_model__: Whether the model is a [`RootModel`][pydantic.root_model.RootModel]. __pydantic_serializer__: The `pydantic-core` `SchemaSerializer` used to dump instances of the model. __pydantic_validator__: The `pydantic-core` `SchemaValidator` used to validate instances of the model. __pydantic_fields__: A dictionary of field names and their corresponding [`FieldInfo`][pydantic.fields.FieldInfo] objects. __pydantic_computed_fields__: A dictionary of computed field names and their corresponding [`ComputedFieldInfo`][pydantic.fields.ComputedFieldInfo] objects. __pydantic_extra__: A dictionary containing extra values, if [`extra`][pydantic.config.ConfigDict.extra] is set to `'allow'`. __pydantic_fields_set__: The names of fields explicitly set during instantiation. __pydantic_private__: Values of private attributes set on the model instance. .. !! processed by numpydoc !! .. py:attribute:: permissions :type: Optional[List[perms.RoleAssignment]] :value: None