#pragma once

#include <assert.h>
#include <string.h>
#include <samplerate.h>
#include <complex.h>
#include "math.hpp"


namespace rack {


/** Construct a C-style complex float
With -O3 this is as fast as the 1.0 + 1.0*I syntax but it stops the compiler from complaining 
*/
inline float _Complex complexf(float r, float i) {
	union {
		float x[2];
		float _Complex c;
	} v;
	v.x[0] = r;
	v.x[1] = i;
	return v.c;
}

/** Simple FFT implementation
If you need something fast, use pffft, KissFFT, etc instead.
The size N must be a power of 2
*/
struct SimpleFFT {
	int N;
	/** Twiddle factors e^(2pi k/N), interleaved complex numbers */
	float _Complex *tw;
	SimpleFFT(int N, bool inverse) : N(N) {
		tw = new float _Complex[N];
		for (int i = 0; i < N; i++) {
			float phase = 2*M_PI * (float)i / N;
			if (inverse)
				phase *= -1.0;
			tw[i] = cexpf(phase * complexf(0.0, 1.0));
		}
	}
	~SimpleFFT() {
		delete[] tw;
	}
	/** Reference naive implementation
	x and y are arrays of interleaved complex numbers
	y must be size N/s
	s is the stride factor for the x array which divides the size N
	*/
	void dft(const float _Complex *x, float _Complex *y, int s=1) {
		for (int k = 0; k < N/s; k++) {
			float _Complex yk = 0.0;
			for (int n = 0; n < N; n += s) {
				int m = (n*k) % N;
				yk += x[n] * tw[m];
			}
			y[k] = yk;
		}
	}
	void fft(const float _Complex *x, float _Complex *y, int s=1) {
		if (N/s <= 2) {
			// Naive DFT is faster than further FFT recursions at this point
			dft(x, y, s);
			return;
		}
		float _Complex e[N/(2*s)]; // Even inputs
		float _Complex o[N/(2*s)]; // Odd inputs
		fft(x, e, 2*s);
		fft(x + s, o, 2*s);
		for (int k = 0; k < N/(2*s); k++) {
			int m = (k*s) % N;
			y[k] = e[k] + tw[m] * o[k];
			y[k + N/(2*s)] = e[k] - tw[m] * o[k];
		}
	}
};


/** A simple cyclic buffer.
S must be a power of 2.
push() is constant time O(1)
*/
template <typename T, size_t S>
struct RingBuffer {
	T data[S];
	size_t start = 0;
	size_t end = 0;

	size_t mask(size_t i) const {
		return i & (S - 1);
	}
	void push(T t) {
		size_t i = mask(end++);
		data[i] = t;
	}
	T shift() {
		return data[mask(start++)];
	}
	void clear() {
		start = end;
	}
	bool empty() const {
		return start >= end;
	}
	bool full() const {
		return end - start >= S;
	}
	size_t size() const {
		return end - start;
	}
};


/** A cyclic buffer which maintains a valid linear array of size S by keeping a copy of the buffer in adjacent memory.
S must be a power of 2.
push() is constant time O(2) relative to RingBuffer
*/
template <typename T, size_t S>
struct DoubleRingBuffer {
	T data[S*2];
	size_t start = 0;
	size_t end = 0;

	size_t mask(size_t i) const {
		return i & (S - 1);
	}
	void push(T t) {
		size_t i = mask(end++);
		data[i] = t;
		data[i + S] = t;
	}
	T shift() {
		return data[mask(start++)];
	}
	void clear() {
		start = end;
	}
	bool empty() const {
		return start >= end;
	}
	bool full() const {
		return end - start >= S;
	}
	size_t size() const {
		return end - start;
	}
	/** Returns a pointer to S consecutive elements for appending.
	If any data is appended, you must call endIncr afterwards.
	Pointer is invalidated when any other method is called.
	*/
	T *endData() {
		return &data[mask(end)];
	}
	void endIncr(size_t n) {
		size_t mend = mask(end) + n;
		if (mend > S) {
			// Copy data backward from the doubled block to the main block
			memcpy(data, &data[S], sizeof(T) * (mend - S));
			// Don't bother copying forward
		}
		end += n;
	}
	/** Returns a pointer to S consecutive elements for consumption
	If any data is consumed, call startIncr afterwards.
	*/
	const T *startData() const {
		return &data[mask(start)];
	}
	void startIncr(size_t n) {
		start += n;
	}
};


/** A cyclic buffer which maintains a valid linear array of size S by sliding along a larger block of size N.
The linear array of S elements are moved back to the start of the block once it outgrows past the end.
This happens every N - S pushes, so the push() time is O(1 + S / (N - S)).
For example, a float buffer of size 64 in a block of size 1024 is nearly as efficient as RingBuffer.
*/
template <typename T, size_t S, size_t N>
struct AppleRingBuffer {
	T data[N];
	size_t start = 0;
	size_t end = 0;

	void push(T t) {
		data[end++] = t;
		if (end >= N) {
			// move end block to beginning
			memmove(data, &data[N - S], sizeof(T) * S);
			start -= N - S;
			end = S;
		}
	}
	T shift() {
		return data[start++];
	}
	bool empty() const {
		return start >= end;
	}
	bool full() const {
		return end - start >= S;
	}
	size_t size() const {
		return end - start;
	}
	/** Returns a pointer to S consecutive elements for appending, requesting to append n elements.
	*/
	T *endData(size_t n) {
		// TODO
		return &data[end];
	}
	/** Returns a pointer to S consecutive elements for consumption
	If any data is consumed, call startIncr afterwards.
	*/
	const T *startData() const {
		return &data[start];
	}
	void startIncr(size_t n) {
		// This is valid as long as n < S
		start += n;
	}
};


template<int CHANNELS>
struct SampleRateConverter {
	SRC_STATE *state;
	SRC_DATA data;

	SampleRateConverter() {
		int error;
		state = src_new(SRC_SINC_FASTEST, CHANNELS, &error);
		assert(!error);

		data.src_ratio = 1.0;
		data.end_of_input = false;
	}
	~SampleRateConverter() {
		src_delete(state);
	}
	void setRatio(float r) {
		src_set_ratio(state, r);
		data.src_ratio = r;
	}
	/** `in` and `out` are interlaced with the number of channels */
	void process(float *in, int *inFrames, float *out, int *outFrames) {
		data.data_in = in;
		data.input_frames = *inFrames;
		data.data_out = out;
		data.output_frames = *outFrames;
		src_process(state, &data);
		*inFrames = data.input_frames_used;
		*outFrames = data.output_frames_gen;
	}
	void reset() {
		src_reset(state);
	}
};


// Pre-made minBLEP samples in minBLEP.cpp
extern const float minblep_16_32[];


template<int ZERO_CROSSINGS>
struct MinBLEP {
	float buf[2*ZERO_CROSSINGS] = {};
	int pos = 0;
	const float *minblep;
	int oversample;

	/** Places a discontinuity with magnitude dx at -1 < p <= 0 relative to the current frame */
	void jump(float p, float dx) {
		if (p <= -1 || 0 < p)
			return;
		for (int j = 0; j < 2*ZERO_CROSSINGS; j++) {
			float minblepIndex = ((float)j - p) * oversample;
			int index = (pos + j) % (2*ZERO_CROSSINGS);
			buf[index] += dx * (-1.0 + interpf(minblep, minblepIndex));
		}
	}
	float shift() {
		float v = buf[pos];
		buf[pos] = 0.0;
		pos = (pos + 1) % (2*ZERO_CROSSINGS);
		return v;
	}
};


struct RCFilter {
	float c = 0.0;
	float xstate[1] = {};
	float ystate[1] = {};

	// `r` is the ratio between the cutoff frequency and sample rate, i.e. r = f_c / f_s
	void setCutoff(float r) {
		c = 2.0 / r;
	}
	void process(float x) {
		float y = (x + xstate[0] - ystate[0] * (1 - c)) / (1 + c);
		xstate[0] = x;
		ystate[0] = y;
	}
	float lowpass() {
		return ystate[0];
	}
	float highpass() {
		return xstate[0] - ystate[0];
	}
};


} // namespace rack