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use indexmap::map::IndexMap;
use ndarray::arr0;
use crate::{base, Integer, proto};
use crate::base::{IndexKey, NodeProperties, Value, ValueProperties};
use crate::components::{Expandable, Report};
use crate::errors::*;
use crate::utilities::{get_literal};
use crate::utilities::inference::infer_property;
use crate::utilities::json::{AlgorithmInfo, JSONRelease, privacy_usage_to_json, value_to_json};
impl Expandable for proto::DpCount {
fn expand_component(
&self,
privacy_definition: &Option<proto::PrivacyDefinition>,
component: &proto::Component,
_public_arguments: &IndexMap<IndexKey, &Value>,
properties: &base::NodeProperties,
component_id: u32,
mut maximum_id: u32,
) -> Result<base::ComponentExpansion> {
let mut expansion = base::ComponentExpansion::default();
let privacy_definition = privacy_definition.as_ref()
.ok_or_else(|| Error::from("privacy_definition must be known"))?;
let mechanism = if self.mechanism.to_lowercase().as_str() == "automatic" {
if privacy_definition.protect_floating_point
{ "snapping" } else { "laplace" }.to_string()
} else { self.mechanism.to_lowercase() };
maximum_id += 1;
let id_count = maximum_id;
expansion.computation_graph.insert(id_count, proto::Component {
arguments: Some(proto::ArgumentNodeIds::new(indexmap![
"data".into() => *component.arguments().get(&IndexKey::from("data"))
.ok_or_else(|| Error::from("data must be provided as an argument"))?
])),
variant: Some(proto::component::Variant::Count(proto::Count {
distinct: self.distinct
})),
omit: true,
submission: component.submission,
});
expansion.traversal.push(id_count);
let argument_ids = component.arguments();
if mechanism.as_str() == "simplegeometric" {
let count_min_id = match argument_ids.get::<IndexKey>(&"lower".into()) {
Some(id) => *id,
None => {
maximum_id += 1;
let id_count_min = maximum_id;
let (patch_node, count_min_release) = get_literal(0.into(), component.submission)?;
expansion.computation_graph.insert(id_count_min, patch_node);
expansion.properties.insert(id_count_min, infer_property(&count_min_release.value, None, id_count_min)?);
expansion.releases.insert(id_count_min, count_min_release);
id_count_min
}
};
let count_max_id = match argument_ids.get::<IndexKey>(&"upper".into()) {
None => {
let num_records = match properties.get::<IndexKey>(&"data".into())
.ok_or("data: missing")? {
ValueProperties::Array(value) => value.num_records,
ValueProperties::Dataframe(value) => value.num_records()?,
_ => return Err("data: must be an array or dataframe".into())
};
let count_max = match num_records {
Some(num_records) => arr0(num_records as Integer).into_dyn(),
None => if privacy_definition.protect_elapsed_time {
return Err("upper must be set when protecting elapsed time".into())
} else {
arr0(Integer::MAX).into_dyn()
}
};
maximum_id += 1;
let id_count_max = maximum_id;
let (patch_node, count_max_release) = get_literal(count_max.into(), component.submission)?;
expansion.computation_graph.insert(id_count_max, patch_node);
expansion.properties.insert(id_count_max, infer_property(&count_max_release.value, None, id_count_max)?);
expansion.releases.insert(id_count_max, count_max_release);
id_count_max
}
Some(id) => *id,
};
expansion.computation_graph.insert(component_id, proto::Component {
variant: Some(proto::component::Variant::SimpleGeometricMechanism(proto::SimpleGeometricMechanism {
privacy_usage: self.privacy_usage.clone()
})),
arguments: Some(proto::ArgumentNodeIds::new(indexmap![
"data".into() => id_count,
"lower".into() => count_min_id,
"upper".into() => count_max_id
])),
omit: component.omit,
submission: component.submission,
});
} else {
let mut arguments = indexmap!["data".into() => id_count];
let variant = Some(match mechanism.as_str() {
"laplace" => proto::component::Variant::LaplaceMechanism(proto::LaplaceMechanism {
privacy_usage: self.privacy_usage.clone()
}),
"gaussian" => proto::component::Variant::GaussianMechanism(proto::GaussianMechanism {
privacy_usage: self.privacy_usage.clone(),
analytic: false
}),
"analyticgaussian" => proto::component::Variant::GaussianMechanism(proto::GaussianMechanism {
privacy_usage: self.privacy_usage.clone(),
analytic: true
}),
"snapping" => {
argument_ids.get::<IndexKey>(&"lower".into())
.map(|lower| arguments.insert("lower".into(), *lower));
argument_ids.get::<IndexKey>(&"upper".into())
.map(|upper| arguments.insert("upper".into(), *upper));
proto::component::Variant::SnappingMechanism(proto::SnappingMechanism {
privacy_usage: self.privacy_usage.clone()
})
},
_ => bail!("Unexpected invalid token {:?}", self.mechanism.as_str()),
});
expansion.computation_graph.insert(component_id, proto::Component {
arguments: Some(proto::ArgumentNodeIds::new(arguments)),
variant,
omit: component.omit,
submission: component.submission,
});
}
Ok(expansion)
}
}
impl Report for proto::DpCount {
fn summarize(
&self,
node_id: u32,
component: &proto::Component,
_public_arguments: IndexMap<base::IndexKey, &Value>,
_properties: NodeProperties,
release: &Value,
variable_names: Option<&Vec<base::IndexKey>>,
) -> Result<Option<Vec<JSONRelease>>> {
Ok(Some(vec![JSONRelease {
description: "DP release information".to_string(),
statistic: "DPCount".to_string(),
variables: serde_json::json!(variable_names.cloned()
.unwrap_or_else(Vec::new).iter()
.map(|v| v.to_string()).collect::<Vec<String>>()),
release_info: value_to_json(&release)?,
privacy_loss: privacy_usage_to_json(&self.privacy_usage[0].clone()),
accuracy: None,
submission: component.submission,
node_id,
postprocess: false,
algorithm_info: AlgorithmInfo {
name: "".to_string(),
cite: "".to_string(),
mechanism: self.mechanism.clone(),
argument: serde_json::json!({
"distinct": self.distinct
}),
},
}]))
}
}