rodio 0.22.2

Audio playback and recording library
Documentation
use crate::common::{ChannelCount, SampleRate};
use crate::{math, Sample};
use num_rational::Ratio;
use std::collections::VecDeque;
use std::mem;

/// Iterator that converts from a certain sample rate to another.
#[derive(Clone, Debug)]
pub struct SampleRateConverter<I>
where
    I: Iterator,
{
    /// The iterator that gives us samples.
    input: I,
    /// We convert chunks of `from` samples into chunks of `to` samples.
    from: u32,
    /// We convert chunks of `from` samples into chunks of `to` samples.
    to: u32,
    /// Number of channels in the stream
    channels: ChannelCount,
    /// One sample per channel, extracted from `input`.
    current_span: Vec<I::Item>,
    /// Position of `current_sample` modulo `from`.
    current_span_pos_in_chunk: u32,
    /// The samples right after `current_sample` (one per channel), extracted from `input`.
    next_frame: Vec<I::Item>,
    /// The position of the next sample that the iterator should return, modulo `to`.
    /// This counter is incremented (modulo `to`) every time the iterator is called.
    next_output_span_pos_in_chunk: u32,
    /// The buffer containing the samples waiting to be output.
    output_buffer: VecDeque<I::Item>,
}

impl<I> SampleRateConverter<I>
where
    I: Iterator,
{
    /// Create new sample rate converter.
    ///
    /// The converter uses simple linear interpolation for up-sampling
    /// and discards samples for down-sampling. This may introduce audible
    /// distortions in some cases (see [#584](https://github.com/RustAudio/rodio/issues/584)).
    ///
    /// # Limitations
    /// Some rate conversions where target rate is high and rates are mutual primes the sample
    /// interpolation may cause numeric overflows. Conversion between usual sample rates
    /// 2400, 8000, 11025, 12000, 16000, 22050, 24000, 32000, 44100, 48000, ... is expected to work.
    ///
    /// # Panic
    /// Panics if `from`, `to` or `num_channels` are 0.
    #[inline]
    pub fn new(
        mut input: I,
        from: SampleRate,
        to: SampleRate,
        num_channels: ChannelCount,
    ) -> SampleRateConverter<I> {
        let (first_samples, next_samples) = if from == to {
            // if `from` == `to` == 1, then we just pass through
            (Vec::new(), Vec::new())
        } else {
            let first = input
                .by_ref()
                .take(num_channels.get() as usize)
                .collect::<Vec<_>>();
            let next = input
                .by_ref()
                .take(num_channels.get() as usize)
                .collect::<Vec<_>>();
            (first, next)
        };

        // Reducing numerator to avoid numeric overflows during interpolation.
        let (to, from) = Ratio::new(to.get(), from.get()).into_raw();

        SampleRateConverter {
            input,
            from,
            to,
            channels: num_channels,
            current_span_pos_in_chunk: 0,
            next_output_span_pos_in_chunk: 0,
            current_span: first_samples,
            next_frame: next_samples,
            // Capacity: worst case is upsampling where we buffer multiple frames worth of samples.
            output_buffer: VecDeque::with_capacity(
                (to as f32 / from as f32).ceil() as usize * num_channels.get() as usize,
            ),
        }
    }

    /// Destroys this iterator and returns the underlying iterator.
    #[inline]
    pub fn into_inner(self) -> I {
        self.input
    }

    /// Get mutable access to the iterator
    #[inline]
    pub fn inner_mut(&mut self) -> &mut I {
        &mut self.input
    }

    /// Get a reference to the underlying iterator
    #[inline]
    pub fn inner(&self) -> &I {
        &self.input
    }

    fn next_input_span(&mut self) {
        self.current_span_pos_in_chunk += 1;

        mem::swap(&mut self.current_span, &mut self.next_frame);
        self.next_frame.clear();
        for _ in 0..self.channels.get() {
            if let Some(i) = self.input.next() {
                self.next_frame.push(i);
            } else {
                break;
            }
        }
    }
}

impl<I> Iterator for SampleRateConverter<I>
where
    I: Iterator<Item = Sample>,
{
    type Item = I::Item;

    fn next(&mut self) -> Option<I::Item> {
        // the algorithm below doesn't work if `self.from == self.to`
        if self.from == self.to {
            debug_assert_eq!(self.from, 1);
            return self.input.next();
        }

        // Short circuit if there are some samples waiting.
        if let Some(sample) = self.output_buffer.pop_front() {
            return Some(sample);
        }

        // The span we are going to return from this function will be a linear interpolation
        // between `self.current_span` and `self.next_span`.

        if self.next_output_span_pos_in_chunk == self.to {
            // If we jump to the next span, we reset the whole state.
            self.next_output_span_pos_in_chunk = 0;

            self.next_input_span();
            while self.current_span_pos_in_chunk != self.from {
                self.next_input_span();
            }
            self.current_span_pos_in_chunk = 0;
        } else {
            // Finding the position of the first sample of the linear interpolation.
            let req_left_sample =
                (self.from * self.next_output_span_pos_in_chunk / self.to) % self.from;

            // Advancing `self.current_span`, `self.next_span` and
            // `self.current_span_pos_in_chunk` until the latter variable
            // matches `req_left_sample`.
            while self.current_span_pos_in_chunk != req_left_sample {
                self.next_input_span();
                debug_assert!(self.current_span_pos_in_chunk < self.from);
            }
        }

        // Merging `self.current_span` and `self.next_span` into `self.output_buffer`.
        // Note that `self.output_buffer` can be truncated if there is not enough data in
        // `self.next_span`.
        let mut result = None;
        let numerator = (self.from * self.next_output_span_pos_in_chunk) % self.to;
        for (off, (cur, next)) in self
            .current_span
            .iter()
            .zip(self.next_frame.iter())
            .enumerate()
        {
            let sample = math::lerp(*cur, *next, numerator, self.to);

            if off == 0 {
                result = Some(sample);
            } else {
                self.output_buffer.push_back(sample);
            }
        }

        // Incrementing the counter for the next iteration.
        self.next_output_span_pos_in_chunk += 1;

        if result.is_some() {
            result
        } else {
            // draining `self.current_span`
            let mut current_span = self.current_span.drain(..);
            let r = current_span.next()?;
            self.output_buffer.extend(current_span);
            Some(r)
        }
    }

    #[inline]
    fn size_hint(&self) -> (usize, Option<usize>) {
        let apply = |samples: usize| {
            // `samples_after_chunk` will contain the number of samples remaining after the chunk
            // currently being processed
            let samples_after_chunk = samples;
            // adding the samples of the next chunk that may have already been read
            let samples_after_chunk = if self.current_span_pos_in_chunk == self.from - 1 {
                samples_after_chunk + self.next_frame.len()
            } else {
                samples_after_chunk
            };
            // removing the samples of the current chunk that have not yet been read
            let samples_after_chunk = samples_after_chunk.saturating_sub(
                self.from.saturating_sub(self.current_span_pos_in_chunk + 2) as usize
                    * usize::from(self.channels.get()),
            );
            // calculating the number of samples after the transformation
            // TODO: this is wrong here \|/
            let samples_after_chunk = samples_after_chunk * self.to as usize / self.from as usize;

            // `samples_current_chunk` will contain the number of samples remaining to be output
            // for the chunk currently being processed
            let samples_current_chunk = (self.to - self.next_output_span_pos_in_chunk) as usize
                * usize::from(self.channels.get());

            samples_current_chunk + samples_after_chunk + self.output_buffer.len()
        };

        if self.from == self.to {
            self.input.size_hint()
        } else {
            let (min, max) = self.input.size_hint();
            (apply(min), max.map(apply))
        }
    }
}

impl<I> ExactSizeIterator for SampleRateConverter<I> where I: ExactSizeIterator<Item = Sample> {}

#[cfg(test)]
mod test {
    use super::SampleRateConverter;
    use crate::common::{ChannelCount, SampleRate};
    use crate::math::nz;
    use crate::Sample;
    use core::time::Duration;
    use quickcheck::{quickcheck, TestResult};

    quickcheck! {
        /// Check that resampling an empty input produces no output.
        fn empty(from: SampleRate, to: SampleRate, channels: ChannelCount) -> TestResult {
            if from.get() > 384_000*2 || to.get() > 384_000*2 || channels.get() > 128
            {
                return TestResult::discard();
            }

            let input: Vec<Sample> = Vec::new();
            let output =
                SampleRateConverter::new(input.into_iter(), from, to, channels)
                  .collect::<Vec<_>>();

            assert_eq!(output, []);
            TestResult::passed()
        }

        /// Check that resampling to the same rate does not change the signal.
        fn identity(from: SampleRate, channels: ChannelCount, input: Vec<i16>) -> TestResult {
            if channels.get() > 128 { return TestResult::discard(); }
            let input = Vec::from_iter(input.iter().map(|x| *x as Sample));

            let output =
                SampleRateConverter::new(input.clone().into_iter(), from, from, channels)
                  .collect::<Vec<_>>();

            TestResult::from_bool(input == output)
        }

        /// Check that dividing the sample rate by k (integer) is the same as
        ///   dropping a sample from each channel.
        fn divide_sample_rate(to: SampleRate, k: u16, input: Vec<i16>, channels: ChannelCount) -> TestResult {
            if k == 0 || channels.get() > 128 || to.get() > 48000 {
                return TestResult::discard();
            }
            let input = Vec::from_iter(input.iter().map(|x| *x as Sample));

            let to = to as SampleRate;
            let from = to.get() * k as u32;

            // Truncate the input, so it contains an integer number of spans.
            let input = {
                let ns = channels.get() as usize;
                let mut i = input;
                i.truncate(ns * (i.len() / ns));
                i
            };

            let output =
                SampleRateConverter::new(input.clone().into_iter(), SampleRate::new(from).expect("to is nonzero and k is nonzero"), to, channels)
                  .collect::<Vec<_>>();

            TestResult::from_bool(input.chunks_exact(channels.get().into())
                         .step_by(k as usize).collect::<Vec<_>>().concat() == output)
        }

        /// Check that, after multiplying the sample rate by k, every k-th
        /// sample in the output matches exactly with the input.
        fn multiply_sample_rate(from: SampleRate, k: u8, input: Vec<i16>, channels: ChannelCount) -> TestResult {
            if k == 0 || from.get() > u16::MAX as u32 || channels.get() > 128 {
                return TestResult::discard();
            }
            let input = Vec::from_iter(input.iter().map(|x| *x as Sample));

            let from = from as SampleRate;
            let to = from.get() * k as u32;

            // Truncate the input, so it contains an integer number of spans.
            let input = {
                let ns = channels.get() as usize;
                let mut i = input;
                i.truncate(ns * (i.len() / ns));
                i
            };

            let output =
                SampleRateConverter::new(input.clone().into_iter(), from, SampleRate::new(to).unwrap(), channels)
                  .collect::<Vec<_>>();

            TestResult::from_bool(input ==
                       output.chunks_exact(channels.get().into())
                         .step_by(k as usize).collect::<Vec<_>>().concat())
        }

        #[ignore]
        /// Check that resampling does not change the audio duration,
        ///  except by a negligible amount (± 1ms). Reproduces #316.
        /// Ignored, pending a bug fix.
        fn preserve_durations(d: Duration, freq: f32, to: SampleRate) -> TestResult {
            use crate::source::{SineWave, Source};

            let source = SineWave::new(freq).take_duration(d);
            let from = source.sample_rate();

            let resampled =
                SampleRateConverter::new(source, from, to, nz!(1));
            let duration =
                Duration::from_secs_f32(resampled.count() as f32 / to.get() as f32);

            let delta = duration.abs_diff(d);
            TestResult::from_bool(delta < Duration::from_millis(1))
        }
    }

    #[test]
    fn upsample() {
        let input = vec![2.0, 16.0, 4.0, 18.0, 6.0, 20.0, 8.0, 22.0];
        let output = SampleRateConverter::new(input.into_iter(), nz!(2000), nz!(3000), nz!(2));
        assert_eq!(output.len(), 12); // Test the source's Iterator::size_hint()

        let output = output.map(|x| x.trunc()).collect::<Vec<_>>();
        assert_eq!(
            output,
            [2.0, 16.0, 3.0, 17.0, 4.0, 18.0, 6.0, 20.0, 7.0, 21.0, 8.0, 22.0]
        );
    }

    #[test]
    fn upsample2() {
        let input = vec![1.0, 14.0];
        let output = SampleRateConverter::new(input.into_iter(), nz!(1000), nz!(7000), nz!(1));
        let size_estimation = output.len();
        let output = output.map(|x| x.trunc()).collect::<Vec<_>>();
        assert_eq!(output, [1.0, 2.0, 4.0, 6.0, 8.0, 10.0, 12.0, 14.0]);
        assert!((size_estimation as f32 / output.len() as f32).abs() < 2.0);
    }

    #[test]
    fn downsample() {
        let input = Vec::from_iter((0..17).map(|x| x as Sample));
        let output = SampleRateConverter::new(input.into_iter(), nz!(12000), nz!(2400), nz!(1));
        let size_estimation = output.len();
        let output = output.collect::<Vec<_>>();
        assert_eq!(output, [0.0, 5.0, 10.0, 15.0]);
        assert!((size_estimation as f32 / output.len() as f32).abs() < 2.0);
    }
}