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@@ -309,35 +309,44 @@ impl Analyzer for NormalAnalyzer {
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let alpha = 1.0 - confidence;
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- let (bridge_ips_mean, bridge_ips_sd) = Self::mean_and_std_dev(bridge_ips);
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+ // Evaluate based on negative reports
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let (negative_reports_mean, negative_reports_sd) = Self::mean_and_std_dev(negative_reports);
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-
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- // Model negative reports separately
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- let bip_normal = Normal::new(bridge_ips_mean, bridge_ips_sd);
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let nr_normal = Normal::new(negative_reports_mean, negative_reports_sd);
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-
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- // If we have 0 standard deviation, we need another way to
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- // evaluate each variable
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- let bip_test = if bridge_ips_sd > 0.0 {
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- bip_normal.unwrap().cdf(bridge_ips_today as f64) < alpha
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- } else {
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- // Consider the bridge blocked if its usage dropped by more
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- // than 1 bin. (Note that the mean is the exact value
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- // because we had no deviation.)
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- (bridge_ips_today as f64) < bridge_ips_mean - 8.0
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- };
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- let nr_test = if negative_reports_sd > 0.0 {
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+ if negative_reports_sd > 0.0 {
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// We use CCDF because more negative reports is worse.
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- (1.0 - nr_normal.unwrap().cdf(negative_reports_today as f64)) < alpha
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+ if (1.0 - nr_normal.unwrap().cdf(negative_reports_today as f64)) < alpha {
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+ return true;
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+ }
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} else {
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+ // If the standard deviation is 0, we need another option.
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// Consider the bridge blocked negative reports increase by
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// more than 1 after a long static period. (Note that the
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// mean is the exact value because we had no deviation.)
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- (negative_reports_today as f64) > negative_reports_mean + 1.0
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- };
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+ if (negative_reports_today as f64) > negative_reports_mean + 1.0 {
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+ return true;
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+ }
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+ }
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+
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+ // Evaluate based on bridge stats
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+ let (bridge_ips_mean, bridge_ips_sd) = Self::mean_and_std_dev(bridge_ips);
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+ let bip_normal = Normal::new(bridge_ips_mean, bridge_ips_sd);
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+ if bridge_ips_sd > 0.0 {
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+ if bip_normal.unwrap().cdf(bridge_ips_today as f64) < alpha {
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+ return true;
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+ }
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+ } else {
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+ // If the standard deviation is 0, we need another option.
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+ // Consider the bridge blocked if its usage dropped by more
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+ // than 1 bin. (Note that the mean is the exact value
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+ // because we had no deviation.)
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+ if (bridge_ips_today as f64) < bridge_ips_mean - 8.0 {
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+ return true;
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+ }
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+ }
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- // Return true if any test concluded the bridge is blocked
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- bip_test || nr_test
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+ // If none of the tests concluded that the bridge is blocked,
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+ // return false
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+ false
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}
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/// Evaluate invite-only bridge with lv3+ users submitting positive reports
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@@ -357,19 +366,29 @@ impl Analyzer for NormalAnalyzer {
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let alpha = 1.0 - confidence;
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- // Model bridge IPs and positive reports with multivariate
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- // normal distribution
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- let (mean_vec, cov_mat) = Self::stats(&[bridge_ips, positive_reports]);
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- let mvn = MultivariateNormal::new(mean_vec, cov_mat);
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-
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- // Model negative reports separately
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+ // Evaluate based on negative reports. It is better to compute
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+ // negative reports test first because the positive test may be
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+ // expensive.
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let (negative_reports_mean, negative_reports_sd) = Self::mean_and_std_dev(negative_reports);
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let nr_normal = Normal::new(negative_reports_mean, negative_reports_sd);
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+ if negative_reports_sd > 0.0 {
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+ // We use CCDF because more negative reports is worse.
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+ if (1.0 - nr_normal.unwrap().cdf(negative_reports_today as f64)) < alpha {
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+ return true;
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+ }
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+ } else {
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+ // Consider the bridge blocked negative reports increase by
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+ // more than 1 after a long static period. (Note that the
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+ // mean is the exact value because we had no deviation.)
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+ if (negative_reports_today as f64) > negative_reports_mean + 1.0 {
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+ return true;
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+ }
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+ }
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- // If we have 0 standard deviation or a covariance matrix that
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- // is not positive definite, we need another way to evaluate
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- // each variable
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- let positive_test = if mvn.is_ok() {
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+ // Evaluate based on bridge stats and positive reports.
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+ let (mean_vec, cov_mat) = Self::stats(&[bridge_ips, positive_reports]);
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+ let mvn = MultivariateNormal::new(mean_vec, cov_mat);
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+ if mvn.is_ok() {
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let mvn = mvn.unwrap();
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// Estimate the CDF by integrating the PDF by hand with step
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@@ -380,27 +399,27 @@ impl Analyzer for NormalAnalyzer {
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cdf += mvn.pdf(&DVector::from_vec(vec![bip as f64, pr as f64]));
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}
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}
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- cdf < alpha
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+ if cdf < alpha {
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+ return true;
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+ }
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} else {
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- // Ignore positive reports and compute as in stage 2
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- self.stage_two(
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+ // If we have 0 standard deviation or a covariance matrix
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+ // that is not positive definite, we need another way to
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+ // evaluate each variable. Ignore positive reports and
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+ // compute as in stage 2
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+ if self.stage_two(
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confidence,
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bridge_ips,
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bridge_ips_today,
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negative_reports,
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negative_reports_today,
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- )
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- };
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- let nr_test = if negative_reports_sd > 0.0 {
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- // We use CCDF because more negative reports is worse.
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- (1.0 - nr_normal.unwrap().cdf(negative_reports_today as f64)) < alpha
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- } else {
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- // Consider the bridge blocked negative reports increase by
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- // more than 1 after a long static period. (Note that the
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- // mean is the exact value because we had no deviation.)
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- (negative_reports_today as f64) > negative_reports_mean + 1.0
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+ ) {
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+ return true;
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+ }
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};
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- positive_test || nr_test
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+ // If none of the tests concluded that the bridge is blocked,
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+ // return false
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+ false
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}
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}
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