#![doc = "generated by AutoRust 0.1.0"]
#![allow(unused_mut)]
#![allow(unused_variables)]
#![allow(unused_imports)]
use crate::models::*;
pub mod operations {
    use crate::models::*;
    pub async fn list(operation_config: &crate::OperationConfig) -> std::result::Result<OperationListResult, list::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/providers/Microsoft.MachineLearningServices/operations",
            operation_config.base_path(),
        );
        let mut url = url::Url::parse(url_str).map_err(list::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(list::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: OperationListResult =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod workspaces {
    use crate::models::*;
    pub async fn get(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
    ) -> std::result::Result<Workspace, get::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(get::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(get::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(get::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(get::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: Workspace =
                    serde_json::from_slice(rsp_body).map_err(|source| get::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| get::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(get::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod get {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn create_or_update(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        parameters: &Workspace,
    ) -> std::result::Result<create_or_update::Response, create_or_update::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(create_or_update::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::PUT);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(create_or_update::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        req_builder = req_builder.header("content-type", "application/json");
        let req_body = azure_core::to_json(parameters).map_err(create_or_update::Error::SerializeError)?;
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(create_or_update::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(create_or_update::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: Workspace = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(create_or_update::Response::Ok200(rsp_value))
            }
            http::StatusCode::CREATED => {
                let rsp_body = rsp.body();
                let rsp_value: Workspace = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(create_or_update::Response::Created201(rsp_value))
            }
            http::StatusCode::ACCEPTED => {
                let rsp_body = rsp.body();
                let rsp_value: Workspace = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(create_or_update::Response::Accepted202(rsp_value))
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(create_or_update::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod create_or_update {
        use crate::{models, models::*};
        #[derive(Debug)]
        pub enum Response {
            Ok200(Workspace),
            Created201(Workspace),
            Accepted202(Workspace),
        }
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn update(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        parameters: &WorkspaceUpdateParameters,
    ) -> std::result::Result<Workspace, update::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(update::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::PATCH);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(update::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        req_builder = req_builder.header("content-type", "application/json");
        let req_body = azure_core::to_json(parameters).map_err(update::Error::SerializeError)?;
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(update::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(update::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: Workspace =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(update::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod update {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn delete(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
    ) -> std::result::Result<delete::Response, delete::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(delete::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::DELETE);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(delete::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(delete::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(delete::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => Ok(delete::Response::Ok200),
            http::StatusCode::ACCEPTED => Ok(delete::Response::Accepted202),
            http::StatusCode::NO_CONTENT => Ok(delete::Response::NoContent204),
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| delete::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(delete::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod delete {
        use crate::{models, models::*};
        #[derive(Debug)]
        pub enum Response {
            Ok200,
            Accepted202,
            NoContent204,
        }
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list_by_resource_group(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        skiptoken: Option<&str>,
    ) -> std::result::Result<WorkspaceListResult, list_by_resource_group::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces",
            operation_config.base_path(),
            subscription_id,
            resource_group_name
        );
        let mut url = url::Url::parse(url_str).map_err(list_by_resource_group::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_by_resource_group::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        if let Some(skiptoken) = skiptoken {
            url.query_pairs_mut().append_pair("$skiptoken", skiptoken);
        }
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder
            .body(req_body)
            .map_err(list_by_resource_group::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_by_resource_group::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: WorkspaceListResult = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_resource_group::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_resource_group::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_by_resource_group::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_by_resource_group {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list_keys(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
    ) -> std::result::Result<ListWorkspaceKeysResult, list_keys::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/listKeys",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(list_keys::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::POST);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_keys::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.header(http::header::CONTENT_LENGTH, 0);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list_keys::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_keys::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ListWorkspaceKeysResult =
                    serde_json::from_slice(rsp_body).map_err(|source| list_keys::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| list_keys::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_keys::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_keys {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn resync_keys(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
    ) -> std::result::Result<(), resync_keys::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/resyncKeys",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(resync_keys::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::POST);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(resync_keys::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.header(http::header::CONTENT_LENGTH, 0);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(resync_keys::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(resync_keys::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => Ok(()),
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| resync_keys::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(resync_keys::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod resync_keys {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list_by_subscription(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        skiptoken: Option<&str>,
    ) -> std::result::Result<WorkspaceListResult, list_by_subscription::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/workspaces",
            operation_config.base_path(),
            subscription_id
        );
        let mut url = url::Url::parse(url_str).map_err(list_by_subscription::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_by_subscription::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        if let Some(skiptoken) = skiptoken {
            url.query_pairs_mut().append_pair("$skiptoken", skiptoken);
        }
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list_by_subscription::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_by_subscription::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: WorkspaceListResult = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_subscription::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_subscription::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_by_subscription::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_by_subscription {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod workspace_features {
    use crate::models::*;
    pub async fn list(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
    ) -> std::result::Result<ListAmlUserFeatureResult, list::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/features",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(list::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(list::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ListAmlUserFeatureResult =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod usages {
    use crate::models::*;
    pub async fn list(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        location: &str,
    ) -> std::result::Result<ListUsagesResult, list::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/locations/{}/usages",
            operation_config.base_path(),
            subscription_id,
            location
        );
        let mut url = url::Url::parse(url_str).map_err(list::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(list::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ListUsagesResult =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                Err(list::Error::UnexpectedResponse {
                    status_code,
                    body: rsp_body.clone(),
                })
            }
        }
    }
    pub mod list {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("Unexpected HTTP status code {}", status_code)]
            UnexpectedResponse { status_code: http::StatusCode, body: bytes::Bytes },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod virtual_machine_sizes {
    use crate::models::*;
    pub async fn list(
        operation_config: &crate::OperationConfig,
        location: &str,
        subscription_id: &str,
    ) -> std::result::Result<VirtualMachineSizeListResult, list::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/locations/{}/vmSizes",
            operation_config.base_path(),
            subscription_id,
            location
        );
        let mut url = url::Url::parse(url_str).map_err(list::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(list::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: VirtualMachineSizeListResult =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                Err(list::Error::UnexpectedResponse {
                    status_code,
                    body: rsp_body.clone(),
                })
            }
        }
    }
    pub mod list {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("Unexpected HTTP status code {}", status_code)]
            UnexpectedResponse { status_code: http::StatusCode, body: bytes::Bytes },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod quotas {
    use crate::models::*;
    pub async fn update(
        operation_config: &crate::OperationConfig,
        location: &str,
        parameters: &QuotaUpdateParameters,
        subscription_id: &str,
    ) -> std::result::Result<UpdateWorkspaceQuotasResult, update::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/locations/{}/updateQuotas",
            operation_config.base_path(),
            subscription_id,
            location
        );
        let mut url = url::Url::parse(url_str).map_err(update::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::POST);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(update::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        req_builder = req_builder.header("content-type", "application/json");
        let req_body = azure_core::to_json(parameters).map_err(update::Error::SerializeError)?;
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(update::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(update::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: UpdateWorkspaceQuotasResult =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(update::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod update {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        location: &str,
    ) -> std::result::Result<ListWorkspaceQuotas, list::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/locations/{}/Quotas",
            operation_config.base_path(),
            subscription_id,
            location
        );
        let mut url = url::Url::parse(url_str).map_err(list::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(list::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ListWorkspaceQuotas =
                    serde_json::from_slice(rsp_body).map_err(|source| list::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                Err(list::Error::UnexpectedResponse {
                    status_code,
                    body: rsp_body.clone(),
                })
            }
        }
    }
    pub mod list {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("Unexpected HTTP status code {}", status_code)]
            UnexpectedResponse { status_code: http::StatusCode, body: bytes::Bytes },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub mod machine_learning_compute {
    use crate::models::*;
    pub async fn list_by_workspace(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        skiptoken: Option<&str>,
    ) -> std::result::Result<PaginatedComputeResourcesList, list_by_workspace::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name
        );
        let mut url = url::Url::parse(url_str).map_err(list_by_workspace::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_by_workspace::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        if let Some(skiptoken) = skiptoken {
            url.query_pairs_mut().append_pair("$skiptoken", skiptoken);
        }
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list_by_workspace::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_by_workspace::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: PaginatedComputeResourcesList = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_workspace::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError = serde_json::from_slice(rsp_body)
                    .map_err(|source| list_by_workspace::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_by_workspace::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_by_workspace {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn get(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
    ) -> std::result::Result<ComputeResource, get::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(get::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::GET);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(get::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(get::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(get::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ComputeResource =
                    serde_json::from_slice(rsp_body).map_err(|source| get::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| get::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(get::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod get {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn create_or_update(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
        parameters: &ComputeResource,
    ) -> std::result::Result<create_or_update::Response, create_or_update::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(create_or_update::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::PUT);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(create_or_update::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        req_builder = req_builder.header("content-type", "application/json");
        let req_body = azure_core::to_json(parameters).map_err(create_or_update::Error::SerializeError)?;
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(create_or_update::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(create_or_update::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ComputeResource = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(create_or_update::Response::Ok200(rsp_value))
            }
            http::StatusCode::CREATED => {
                let rsp_body = rsp.body();
                let rsp_value: ComputeResource = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(create_or_update::Response::Created201(rsp_value))
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError = serde_json::from_slice(rsp_body)
                    .map_err(|source| create_or_update::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(create_or_update::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod create_or_update {
        use crate::{models, models::*};
        #[derive(Debug)]
        pub enum Response {
            Ok200(ComputeResource),
            Created201(ComputeResource),
        }
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn update(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
        parameters: &ClusterUpdateParameters,
    ) -> std::result::Result<ComputeResource, update::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(update::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::PATCH);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(update::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        req_builder = req_builder.header("content-type", "application/json");
        let req_body = azure_core::to_json(parameters).map_err(update::Error::SerializeError)?;
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(update::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(update::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ComputeResource =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| update::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(update::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod update {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn delete(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
        underlying_resource_action: &str,
    ) -> std::result::Result<delete::Response, delete::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(delete::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::DELETE);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(delete::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        url.query_pairs_mut()
            .append_pair("underlyingResourceAction", underlying_resource_action);
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(delete::Error::BuildRequestError)?;
        let rsp = http_client.execute_request(req).await.map_err(delete::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => Ok(delete::Response::Ok200),
            http::StatusCode::ACCEPTED => Ok(delete::Response::Accepted202),
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| delete::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(delete::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod delete {
        use crate::{models, models::*};
        #[derive(Debug)]
        pub enum Response {
            Ok200,
            Accepted202,
        }
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list_nodes(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
    ) -> std::result::Result<AmlComputeNodesInformation, list_nodes::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}/listNodes",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(list_nodes::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::POST);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_nodes::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.header(http::header::CONTENT_LENGTH, 0);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list_nodes::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_nodes::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: AmlComputeNodesInformation =
                    serde_json::from_slice(rsp_body).map_err(|source| list_nodes::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| list_nodes::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_nodes::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_nodes {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
    pub async fn list_keys(
        operation_config: &crate::OperationConfig,
        subscription_id: &str,
        resource_group_name: &str,
        workspace_name: &str,
        compute_name: &str,
    ) -> std::result::Result<ComputeSecrets, list_keys::Error> {
        let http_client = operation_config.http_client();
        let url_str = &format!(
            "{}/subscriptions/{}/resourceGroups/{}/providers/Microsoft.MachineLearningServices/workspaces/{}/computes/{}/listKeys",
            operation_config.base_path(),
            subscription_id,
            resource_group_name,
            workspace_name,
            compute_name
        );
        let mut url = url::Url::parse(url_str).map_err(list_keys::Error::ParseUrlError)?;
        let mut req_builder = http::request::Builder::new();
        req_builder = req_builder.method(http::Method::POST);
        if let Some(token_credential) = operation_config.token_credential() {
            let token_response = token_credential
                .get_token(operation_config.token_credential_resource())
                .await
                .map_err(list_keys::Error::GetTokenError)?;
            req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
        }
        url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
        let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
        req_builder = req_builder.header(http::header::CONTENT_LENGTH, 0);
        req_builder = req_builder.uri(url.as_str());
        let req = req_builder.body(req_body).map_err(list_keys::Error::BuildRequestError)?;
        let rsp = http_client
            .execute_request(req)
            .await
            .map_err(list_keys::Error::ExecuteRequestError)?;
        match rsp.status() {
            http::StatusCode::OK => {
                let rsp_body = rsp.body();
                let rsp_value: ComputeSecrets =
                    serde_json::from_slice(rsp_body).map_err(|source| list_keys::Error::DeserializeError(source, rsp_body.clone()))?;
                Ok(rsp_value)
            }
            status_code => {
                let rsp_body = rsp.body();
                let rsp_value: MachineLearningServiceError =
                    serde_json::from_slice(rsp_body).map_err(|source| list_keys::Error::DeserializeError(source, rsp_body.clone()))?;
                Err(list_keys::Error::DefaultResponse {
                    status_code,
                    value: rsp_value,
                })
            }
        }
    }
    pub mod list_keys {
        use crate::{models, models::*};
        #[derive(Debug, thiserror :: Error)]
        pub enum Error {
            #[error("HTTP status code {}", status_code)]
            DefaultResponse {
                status_code: http::StatusCode,
                value: models::MachineLearningServiceError,
            },
            #[error("Failed to parse request URL: {0}")]
            ParseUrlError(url::ParseError),
            #[error("Failed to build request: {0}")]
            BuildRequestError(http::Error),
            #[error("Failed to execute request: {0}")]
            ExecuteRequestError(azure_core::HttpError),
            #[error("Failed to serialize request body: {0}")]
            SerializeError(serde_json::Error),
            #[error("Failed to deserialize response: {0}, body: {1:?}")]
            DeserializeError(serde_json::Error, bytes::Bytes),
            #[error("Failed to get access token: {0}")]
            GetTokenError(azure_core::Error),
        }
    }
}
pub async fn list_skus(
    operation_config: &crate::OperationConfig,
    subscription_id: &str,
) -> std::result::Result<SkuListResult, list_skus::Error> {
    let http_client = operation_config.http_client();
    let url_str = &format!(
        "{}/subscriptions/{}/providers/Microsoft.MachineLearningServices/workspaces/skus",
        operation_config.base_path(),
        subscription_id
    );
    let mut url = url::Url::parse(url_str).map_err(list_skus::Error::ParseUrlError)?;
    let mut req_builder = http::request::Builder::new();
    req_builder = req_builder.method(http::Method::GET);
    if let Some(token_credential) = operation_config.token_credential() {
        let token_response = token_credential
            .get_token(operation_config.token_credential_resource())
            .await
            .map_err(list_skus::Error::GetTokenError)?;
        req_builder = req_builder.header(http::header::AUTHORIZATION, format!("Bearer {}", token_response.token.secret()));
    }
    url.query_pairs_mut().append_pair("api-version", operation_config.api_version());
    let req_body = bytes::Bytes::from_static(azure_core::EMPTY_BODY);
    req_builder = req_builder.uri(url.as_str());
    let req = req_builder.body(req_body).map_err(list_skus::Error::BuildRequestError)?;
    let rsp = http_client
        .execute_request(req)
        .await
        .map_err(list_skus::Error::ExecuteRequestError)?;
    match rsp.status() {
        http::StatusCode::OK => {
            let rsp_body = rsp.body();
            let rsp_value: SkuListResult =
                serde_json::from_slice(rsp_body).map_err(|source| list_skus::Error::DeserializeError(source, rsp_body.clone()))?;
            Ok(rsp_value)
        }
        status_code => {
            let rsp_body = rsp.body();
            let rsp_value: MachineLearningServiceError =
                serde_json::from_slice(rsp_body).map_err(|source| list_skus::Error::DeserializeError(source, rsp_body.clone()))?;
            Err(list_skus::Error::DefaultResponse {
                status_code,
                value: rsp_value,
            })
        }
    }
}
pub mod list_skus {
    use crate::{models, models::*};
    #[derive(Debug, thiserror :: Error)]
    pub enum Error {
        #[error("HTTP status code {}", status_code)]
        DefaultResponse {
            status_code: http::StatusCode,
            value: models::MachineLearningServiceError,
        },
        #[error("Failed to parse request URL: {0}")]
        ParseUrlError(url::ParseError),
        #[error("Failed to build request: {0}")]
        BuildRequestError(http::Error),
        #[error("Failed to execute request: {0}")]
        ExecuteRequestError(azure_core::HttpError),
        #[error("Failed to serialize request body: {0}")]
        SerializeError(serde_json::Error),
        #[error("Failed to deserialize response: {0}, body: {1:?}")]
        DeserializeError(serde_json::Error, bytes::Bytes),
        #[error("Failed to get access token: {0}")]
        GetTokenError(azure_core::Error),
    }
}
