mistral-openapi-client 0.1.0

Our Chat Completion and Embeddings APIs specification. Create your account on [La Plateforme](https://console.mistral.ai) to get access and read the [docs](https://docs.mistral.ai) to learn how to use it.
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/*
 * Mistral AI API
 *
 * Our Chat Completion and Embeddings APIs specification. Create your account on [La Plateforme](https://console.mistral.ai) to get access and read the [docs](https://docs.mistral.ai) to learn how to use it.
 *
 * The version of the OpenAPI document: 1.0.0
 * 
 * Generated by: https://openapi-generator.tech
 */

use crate::models;
use serde::{Deserialize, Serialize};

#[derive(Clone, Default, Debug, PartialEq, Serialize, Deserialize)]
pub struct PaginatedResultDatasetImportTask {
    #[serde(rename = "results", skip_serializing_if = "Option::is_none")]
    pub results: Option<Vec<models::DatasetImportTask>>,
    #[serde(rename = "count")]
    pub count: i32,
    #[serde(rename = "next", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
    pub next: Option<Option<String>>,
    #[serde(rename = "previous", default, with = "::serde_with::rust::double_option", skip_serializing_if = "Option::is_none")]
    pub previous: Option<Option<String>>,
}

impl PaginatedResultDatasetImportTask {
    pub fn new(count: i32) -> PaginatedResultDatasetImportTask {
        PaginatedResultDatasetImportTask {
            results: None,
            count,
            next: None,
            previous: None,
        }
    }
}