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#ifndef __FASTX_PARSER__
#define __FASTX_PARSER__
#include "fcntl.h"
#include "unistd.h"
#include <atomic>
#include <cstdio>
#include <cstdlib>
#include <iostream>
#include <thread>
#include <vector>
extern "C" {
#include "kseq.h"
}
#include "concurrentqueue.h"
#ifndef __FASTX_PARSER_PRECXX14_MAKE_UNIQUE__
#define __FASTX_PARSER_PRECXX14_MAKE_UNIQUE__
#if __cplusplus >= 201402L
#include <memory>
using std::make_unique
#else
#include <cstddef>
#include <memory>
#include <type_traits>
#include <utility>
template <class T> struct _Unique_if {
using _Single_object = std::unique_ptr<T>;
};
template <class T> struct _Unique_if<T[]> {
using _Unknown_bound = std::unique_ptr<T[]>;
};
template <class T, size_t N> struct _Unique_if<T[N]> {
using _Known_bound = void;
};
template <class T, class... Args>
typename _Unique_if<T>::_Single_object make_unique(Args&&... args) {
return std::unique_ptr<T>(new T(std::forward<Args>(args)...));
}
template <class T>
typename _Unique_if<T>::_Unknown_bound make_unique(size_t n) {
using U = typename std::remove_extent<T>::type;
return std::unique_ptr<T>(new U[n]());
}
template <class T, class... Args>
typename _Unique_if<T>::_Known_bound make_unique(Args&&...) = delete;
#endif // C++11
#endif //__FASTX_PARSER_PRECXX14_MAKE_UNIQUE__
namespace fastx_parser {
struct ReadSeq {
std::string seq;
std::string name;
~ReadSeq() {}
};
struct ReadPair {
ReadSeq first;
ReadSeq second;
};
template <typename T> class ReadChunk {
public:
ReadChunk(size_t want) : group_(want), want_(want), have_(want) {}
inline void have(size_t num) { have_ = num; }
inline size_t size() { return have_; }
inline size_t want() const { return want_; }
T& operator[](size_t i) { return group_[i]; }
typename std::vector<T>::iterator begin() { return group_.begin(); }
typename std::vector<T>::iterator end() { return group_.begin() + have_; }
private:
std::vector<T> group_;
size_t want_;
size_t have_;
};
template <typename T> class ReadGroup {
public:
ReadGroup(moodycamel::ProducerToken&& pt, moodycamel::ConsumerToken&& ct)
: pt_(std::move(pt)), ct_(std::move(ct)) {}
moodycamel::ConsumerToken& consumerToken() { return ct_; }
moodycamel::ProducerToken& producerToken() { return pt_; }
// get a reference to the chunk this ReadGroup owns
std::unique_ptr<ReadChunk<T>>& chunkPtr() { return chunk_; }
// get a *moveable* reference to the chunk this ReadGroup owns
std::unique_ptr<ReadChunk<T>>&& takeChunkPtr() { return std::move(chunk_); }
inline void have(size_t num) { chunk_->have(num); }
inline size_t size() { return chunk_->size(); }
inline size_t want() const { return chunk_->want(); }
T& operator[](size_t i) { return (*chunk_)[i]; }
typename std::vector<T>::iterator begin() { return chunk_->begin(); }
typename std::vector<T>::iterator end() {
return chunk_->begin() + chunk_->size();
}
void setChunkEmpty() { chunk_.release(); }
bool empty() const { return chunk_.get() == nullptr; }
private:
std::unique_ptr<ReadChunk<T>> chunk_{nullptr};
moodycamel::ProducerToken pt_;
moodycamel::ConsumerToken ct_;
};
template <typename T> class FastxParser {
public:
FastxParser(std::vector<std::string> files, uint32_t numConsumers,
uint32_t numParsers = 1, uint32_t chunkSize = 1000);
FastxParser(std::vector<std::string> files, std::vector<std::string> files2,
uint32_t numConsumers, uint32_t numParsers = 1,
uint32_t chunkSize = 1000);
~FastxParser();
bool start();
ReadGroup<T> getReadGroup();
bool refill(ReadGroup<T>& rg);
void finishedWithGroup(ReadGroup<T>& s);
private:
moodycamel::ProducerToken getProducerToken_();
moodycamel::ConsumerToken getConsumerToken_();
std::vector<std::string> inputStreams_;
std::vector<std::string> inputStreams2_;
uint32_t numParsers_;
std::atomic<uint32_t> numParsing_;
std::vector<std::unique_ptr<std::thread>> parsingThreads_;
size_t blockSize_;
moodycamel::ConcurrentQueue<std::unique_ptr<ReadChunk<T>>> readQueue_,
seqContainerQueue_;
// holds the indices of files (file-pairs) to be processed
moodycamel::ConcurrentQueue<uint32_t> workQueue_;
std::vector<std::unique_ptr<moodycamel::ProducerToken>> produceReads_;
std::vector<std::unique_ptr<moodycamel::ConsumerToken>> consumeContainers_;
};
}
#endif // __FASTX_PARSER__
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