Struct AsyncModelConfig 

#[non_exhaustive]
pub struct AsyncModelConfig {
    pub display_name: String,
    pub input_config: Option<InputConfig>,
    pub output_config: Option<OutputConfig>,
    pub enable_checkpoints: bool,
    /* private fields */
}

Information for solving one optimization model asynchronously.

Fields (Non-exhaustive)

Non-exhaustive structs could have additional fields added in future. Therefore, non-exhaustive structs cannot be constructed in external crates using the traditional Struct { .. } syntax; cannot be matched against without a wildcard ..; and struct update syntax will not work.

display_name: String

User defined model name, can be used as alias by users to keep track of models.

input_config: Option<InputConfig>

Required. Information about the input model.

output_config: Option<OutputConfig>

Required. The desired output location information.

enable_checkpoints: bool

If this is set, the model will be solved in the checkpoint mode. In this mode, the input model can have a deadline longer than 30 mins without the risk of interruption. The model will be solved in multiple short-running stages. Each stage generates an intermediate checkpoint and stores it in the user’s Cloud Storage buckets. The checkpoint mode should be preferred over allow_large_deadline_despite_interruption_risk since it prevents the risk of interruption.

Implementations

impl AsyncModelConfig

pub fn new() -> Self

Creates a new default instance.

pub fn set_display_name<T: Into<String>>(self, v: T) -> Self

Sets the value of display_name.

Example

let x = AsyncModelConfig::new().set_display_name("example");

pub fn set_input_config<T>(self, v: T) -> Self

where T: Into<InputConfig>,

Sets the value of input_config.

Example

use google_cloud_optimization_v1::model::InputConfig;
let x = AsyncModelConfig::new().set_input_config(InputConfig::default()/* use setters */);

pub fn set_or_clear_input_config<T>(self, v: Option<T>) -> Self

where T: Into<InputConfig>,

Sets or clears the value of input_config.

Example

use google_cloud_optimization_v1::model::InputConfig;
let x = AsyncModelConfig::new().set_or_clear_input_config(Some(InputConfig::default()/* use setters */));
let x = AsyncModelConfig::new().set_or_clear_input_config(None::<InputConfig>);

pub fn set_output_config<T>(self, v: T) -> Self

where T: Into<OutputConfig>,

Sets the value of output_config.

Example

use google_cloud_optimization_v1::model::OutputConfig;
let x = AsyncModelConfig::new().set_output_config(OutputConfig::default()/* use setters */);

pub fn set_or_clear_output_config<T>(self, v: Option<T>) -> Self

where T: Into<OutputConfig>,

Sets or clears the value of output_config.

Example

use google_cloud_optimization_v1::model::OutputConfig;
let x = AsyncModelConfig::new().set_or_clear_output_config(Some(OutputConfig::default()/* use setters */));
let x = AsyncModelConfig::new().set_or_clear_output_config(None::<OutputConfig>);

pub fn set_enable_checkpoints<T: Into<bool>>(self, v: T) -> Self

Sets the value of enable_checkpoints.

Example

let x = AsyncModelConfig::new().set_enable_checkpoints(true);

Trait Implementations

impl Clone for AsyncModelConfig

fn clone(&self) -> AsyncModelConfig

Returns a duplicate of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl Debug for AsyncModelConfig

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.

impl Default for AsyncModelConfig

fn default() -> AsyncModelConfig

Returns the “default value” for a type.

impl Message for AsyncModelConfig

fn typename() -> &'static str

The typename of this message.

impl PartialEq for AsyncModelConfig

fn eq(&self, other: &AsyncModelConfig) -> bool

Equality operator ==.

fn ne(&self, other: &Rhs) -> bool

Inequality operator !=.

impl StructuralPartialEq for AsyncModelConfig