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Use same fmt and clippy configs as in Substrate (#7611)
* Use same rustfmt.toml as Substrate Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * format format file Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Format with new config Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Add Substrate Clippy config Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Print Clippy version in CI Otherwise its difficult to reproduce locally. Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Make fmt happy Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> * Update node/core/pvf/src/error.rs Co-authored-by: Tsvetomir Dimitrov <tsvetomir@parity.io> * Update node/core/pvf/src/error.rs Co-authored-by: Tsvetomir Dimitrov <tsvetomir@parity.io> --------- Signed-off-by: Oliver Tale-Yazdi <oliver.tale-yazdi@parity.io> Co-authored-by: Tsvetomir Dimitrov <tsvetomir@parity.io>
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@@ -88,14 +88,15 @@ where
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"Received request to second candidate",
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);
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// Need to draw value from Bernoulli distribution with given probability of success defined by the clap parameter.
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// Note that clap parameter must be f64 since this is expected by the Bernoulli::new() function.
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// It must be converted from u8, due to the lack of support for the .range() call on u64 in the clap crate.
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// Need to draw value from Bernoulli distribution with given probability of success
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// defined by the clap parameter. Note that clap parameter must be f64 since this is
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// expected by the Bernoulli::new() function. It must be converted from u8, due to
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// the lack of support for the .range() call on u64 in the clap crate.
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let distribution = Bernoulli::new(self.percentage / 100.0)
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.expect("Invalid probability! Percentage must be in range [0..=100].");
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// Draw a random boolean from the Bernoulli distribution with probability of true equal to `p`.
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// We use `rand::thread_rng` as the source of randomness.
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// Draw a random boolean from the Bernoulli distribution with probability of true
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// equal to `p`. We use `rand::thread_rng` as the source of randomness.
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let generate_malicious_candidate = distribution.sample(&mut rand::thread_rng());
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if generate_malicious_candidate == true {
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