pub struct Builder { /* private fields */ }Expand description
A builder for AutoScalingGroupRecommendationOption.
Implementations§
source§impl Builder
impl Builder
sourcepub fn configuration(self, input: AutoScalingGroupConfiguration) -> Self
pub fn configuration(self, input: AutoScalingGroupConfiguration) -> Self
An array of objects that describe an Auto Scaling group configuration.
sourcepub fn set_configuration(
self,
input: Option<AutoScalingGroupConfiguration>
) -> Self
pub fn set_configuration(
self,
input: Option<AutoScalingGroupConfiguration>
) -> Self
An array of objects that describe an Auto Scaling group configuration.
Examples found in repository?
src/json_deser.rs (lines 4232-4234)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn projected_utilization_metrics(self, input: UtilizationMetric) -> Self
pub fn projected_utilization_metrics(self, input: UtilizationMetric) -> Self
Appends an item to projected_utilization_metrics.
To override the contents of this collection use set_projected_utilization_metrics.
An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.
The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
sourcepub fn set_projected_utilization_metrics(
self,
input: Option<Vec<UtilizationMetric>>
) -> Self
pub fn set_projected_utilization_metrics(
self,
input: Option<Vec<UtilizationMetric>>
) -> Self
An array of objects that describe the projected utilization metrics of the Auto Scaling group recommendation option.
The Cpu and Memory metrics are the only projected utilization metrics returned. Additionally, the Memory metric is returned only for resources that have the unified CloudWatch agent installed on them. For more information, see Enabling Memory Utilization with the CloudWatch Agent.
Examples found in repository?
src/json_deser.rs (lines 4237-4239)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn performance_risk(self, input: f64) -> Self
pub fn performance_risk(self, input: f64) -> Self
The performance risk of the Auto Scaling group configuration recommendation.
Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.
The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
sourcepub fn set_performance_risk(self, input: Option<f64>) -> Self
pub fn set_performance_risk(self, input: Option<f64>) -> Self
The performance risk of the Auto Scaling group configuration recommendation.
Performance risk indicates the likelihood of the recommended instance type not meeting the resource needs of your workload. Compute Optimizer calculates an individual performance risk score for each specification of the recommended instance, including CPU, memory, EBS throughput, EBS IOPS, disk throughput, disk IOPS, network throughput, and network PPS. The performance risk of the recommended instance is calculated as the maximum performance risk score across the analyzed resource specifications.
The value ranges from 0 - 4, with 0 meaning that the recommended resource is predicted to always provide enough hardware capability. The higher the performance risk is, the more likely you should validate whether the recommendation will meet the performance requirements of your workload before migrating your resource.
Examples found in repository?
src/json_deser.rs (lines 4242-4247)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn rank(self, input: i32) -> Self
pub fn rank(self, input: i32) -> Self
The rank of the Auto Scaling group recommendation option.
The top recommendation option is ranked as 1.
sourcepub fn set_rank(self, input: Option<i32>) -> Self
pub fn set_rank(self, input: Option<i32>) -> Self
The rank of the Auto Scaling group recommendation option.
The top recommendation option is ranked as 1.
Examples found in repository?
src/json_deser.rs (lines 4250-4256)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn savings_opportunity(self, input: SavingsOpportunity) -> Self
pub fn savings_opportunity(self, input: SavingsOpportunity) -> Self
An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
sourcepub fn set_savings_opportunity(self, input: Option<SavingsOpportunity>) -> Self
pub fn set_savings_opportunity(self, input: Option<SavingsOpportunity>) -> Self
An object that describes the savings opportunity for the Auto Scaling group recommendation option. Savings opportunity includes the estimated monthly savings amount and percentage.
Examples found in repository?
src/json_deser.rs (lines 4259-4261)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn migration_effort(self, input: MigrationEffort) -> Self
pub fn migration_effort(self, input: MigrationEffort) -> Self
The level of effort required to migrate from the current instance type to the recommended instance type.
For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
sourcepub fn set_migration_effort(self, input: Option<MigrationEffort>) -> Self
pub fn set_migration_effort(self, input: Option<MigrationEffort>) -> Self
The level of effort required to migrate from the current instance type to the recommended instance type.
For example, the migration effort is Low if Amazon EMR is the inferred workload type and an Amazon Web Services Graviton instance type is recommended. The migration effort is Medium if a workload type couldn't be inferred but an Amazon Web Services Graviton instance type is recommended. The migration effort is VeryLow if both the current and recommended instance types are of the same CPU architecture.
Examples found in repository?
src/json_deser.rs (lines 4264-4274)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}sourcepub fn build(self) -> AutoScalingGroupRecommendationOption
pub fn build(self) -> AutoScalingGroupRecommendationOption
Consumes the builder and constructs a AutoScalingGroupRecommendationOption.
Examples found in repository?
src/json_deser.rs (line 4289)
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pub(crate) fn deser_structure_crate_model_auto_scaling_group_recommendation_option<'a, I>(
tokens: &mut std::iter::Peekable<I>,
) -> Result<
Option<crate::model::AutoScalingGroupRecommendationOption>,
aws_smithy_json::deserialize::error::DeserializeError,
>
where
I: Iterator<
Item = Result<
aws_smithy_json::deserialize::Token<'a>,
aws_smithy_json::deserialize::error::DeserializeError,
>,
>,
{
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::ValueNull { .. }) => Ok(None),
Some(aws_smithy_json::deserialize::Token::StartObject { .. }) => {
#[allow(unused_mut)]
let mut builder =
crate::model::auto_scaling_group_recommendation_option::Builder::default();
loop {
match tokens.next().transpose()? {
Some(aws_smithy_json::deserialize::Token::EndObject { .. }) => break,
Some(aws_smithy_json::deserialize::Token::ObjectKey { key, .. }) => {
match key.to_unescaped()?.as_ref() {
"configuration" => {
builder = builder.set_configuration(
crate::json_deser::deser_structure_crate_model_auto_scaling_group_configuration(tokens)?
);
}
"projectedUtilizationMetrics" => {
builder = builder.set_projected_utilization_metrics(
crate::json_deser::deser_list_com_amazonaws_computeoptimizer_projected_utilization_metrics(tokens)?
);
}
"performanceRisk" => {
builder = builder.set_performance_risk(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(|v| v.to_f64_lossy()),
);
}
"rank" => {
builder = builder.set_rank(
aws_smithy_json::deserialize::token::expect_number_or_null(
tokens.next(),
)?
.map(i32::try_from)
.transpose()?,
);
}
"savingsOpportunity" => {
builder = builder.set_savings_opportunity(
crate::json_deser::deser_structure_crate_model_savings_opportunity(tokens)?
);
}
"migrationEffort" => {
builder = builder.set_migration_effort(
aws_smithy_json::deserialize::token::expect_string_or_null(
tokens.next(),
)?
.map(|s| {
s.to_unescaped().map(|u| {
crate::model::MigrationEffort::from(u.as_ref())
})
})
.transpose()?,
);
}
_ => aws_smithy_json::deserialize::token::skip_value(tokens)?,
}
}
other => {
return Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(format!(
"expected object key or end object, found: {:?}",
other
)),
)
}
}
}
Ok(Some(builder.build()))
}
_ => Err(
aws_smithy_json::deserialize::error::DeserializeError::custom(
"expected start object or null",
),
),
}
}